Methods for assessing the quality of data in public health information systems: a critical review.
Chen, Hong; Yu, Ping; Hailey, David; Wang, Ning
2014-01-01
The quality of data in public health information systems can be ensured by effective data quality assessment. In order to conduct effective data quality assessment, measurable data attributes have to be precisely defined. Then reliable and valid measurement methods for data attributes have to be used to measure each attribute. We conducted a systematic review of data quality assessment methods for public health using major databases and well-known institutional websites. 35 studies were eligible for inclusion in the study. A total of 49 attributes of data quality were identified from the literature. Completeness, accuracy and timeliness were the three most frequently assessed attributes of data quality. Most studies directly examined data values. This is complemented by exploring either data users' perception or documentation quality. However, there are limitations of current data quality assessment methods: a lack of consensus on attributes measured; inconsistent definition of the data quality attributes; a lack of mixed methods for assessing data quality; and inadequate attention to reliability and validity. Removal of these limitations is an opportunity for further improvement.
Standard methods to measure recreational water quality require at least 24 hours to obtain results making it impossible to assess the quality of water within a single day. Methods to measure recreational water quality in two hours or less have been developed. Application of rapid...
Standard methods to measure recreational water quality require at least 24 hours to obtain results making it impossible to assess the quality of water within a single day. Methods to measure recreational water quality in two hours or less have been developed. Application of rapid...
Correction of stream quality trends for the effects of laboratory measurement bias
Alexander, Richard B.; Smith, Richard A.; Schwarz, Gregory E.
1993-01-01
We present a statistical model relating measurements of water quality to associated errors in laboratory methods. Estimation of the model allows us to correct trends in water quality for long-term and short-term variations in laboratory measurement errors. An illustration of the bias correction method for a large national set of stream water quality and quality assurance data shows that reductions in the bias of estimates of water quality trend slopes are achieved at the expense of increases in the variance of these estimates. Slight improvements occur in the precision of estimates of trend in bias by using correlative information on bias and water quality to estimate random variations in measurement bias. The results of this investigation stress the need for reliable, long-term quality assurance data and efficient statistical methods to assess the effects of measurement errors on the detection of water quality trends.
National Quality Measures for Child Mental Health Care: Background, Progress, and Next Steps
Murphy, J. Michael; Scholle, Sarah Hudson; Hoagwood, Kimberly Eaton; Sachdeva, Ramesh C.; Mangione-Smith, Rita; Woods, Donna; Kamin, Hayley S.; Jellinek, Michael
2013-01-01
OBJECTIVE: To review recent health policies related to measuring child health care quality, the selection processes of national child health quality measures, the nationally recommended quality measures for child mental health care and their evidence strength, the progress made toward developing new measures, and early lessons learned from these national efforts. METHODS: Methods used included description of the selection process of child health care quality measures from 2 independent national initiatives, the recommended quality measures for child mental health care, and the strength of scientific evidence supporting them. RESULTS: Of the child health quality measures recommended or endorsed during these national initiatives, only 9 unique measures were related to child mental health. CONCLUSIONS: The development of new child mental health quality measures poses methodologic challenges that will require a paradigm shift to align research with its accelerated pace. PMID:23457148
METHODS AND MICROBES FOR MEASURING THE QUALITY OF RECREATIONAL WATERS: PAST, PRESENT AND FUTURE
The methods and microbes used to measure the quality of recreational waters have changed very little over the last sixty years. The use of microbial indicators used to measure the quality of water under various conditions across the United States, and the serious shortcomings th...
Toward an applied technology for quality measurement in health care.
Berwick, D M
1988-01-01
Cost containment, financial incentives to conserve resources, the growth of for-profit hospitals, an aggressive malpractice environment, and demands from purchasers are among the forces today increasing the need for improved methods that measure quality in health care. At the same time, increasingly sophisticated databases and the existence of managed care systems yield new opportunities to observe and correct quality problems. Research on targets of measurement (structure, process, and outcome) and methods of measurement (implicit, explicit, and sentinel methods) has not yet produced managerially useful applied technology for quality measurement in real-world settings. Such an applied technology would have to be cheaper, faster, more flexible, better reported, and more multidimensional than the majority of current research on quality assurance. In developing a new applied technology for the measurement of health care quality, quantitative disciplines have much to offer, such as decision support systems, criteria based on rigorous decision analyses, utility theory, tools for functional status measurement, and advances in operations research.
[The measurement of data quality in censuses of population and housing].
1980-01-01
The determination of data quality in population and housing censuses is discussed. Principal types of errors commonly found in census data are reviewed, and the parameters used to evaluate data quality are described. Various methods for measuring data quality are outlined and possible applications of the methods are illustrated using Canadian examples
A FASTER METHOD OF MEASURING RECREATIONAL WATER QUALITY FOR BETTER PROTECTION OF SWIMMER'S HEALTH
Introduction
Fecal indicator bacteria (FIB) are used to monitor recreational water quality worldwide. Current methods of measuring FIB require at least 24-hours for visible bacterial colonies to grow. We previously reported that a faster method (< 2 hours) of measuring FI...
Downhole steam quality measurement
Lee, David O.; Montoya, Paul C.; Muir, James F.; Wayland, Jr., J. Robert
1987-01-01
An empirical method for the remote sensing of steam quality that can be easily adapted to downhole steam quality measurements by measuring the electrical properties of two-phase flow across electrode grids at low frequencies.
ERIC Educational Resources Information Center
Bray, Paula; Bundy, Anita C.; Ryan, Monique M.; North, Kathryn N.
2010-01-01
Measurement of quality of life is becoming increasingly important in health care. Self-reported quality of life is the preferred method of gathering this information, but children are often excluded from this process, their input being replaced by parent-proxy report. This feasibility study tested assessment of "daily" quality-of-life by a…
Measuring Environmental Quality in the Southern Appalachian Mountains
Linwood Pendleton; Brent Sohngen; Robert Mendelsohn; Thomas Holmes
1998-01-01
This study presents a method for valuing recreational environmental quality in the forests of the southeastern United States. The paper offers a method for choosing, measuring, and valuing forest attributes. Surveys and popular recreation literature are used to identify forest attributes that contribute to recreational quality. Standard ecological techniques are...
van de Water, A T M; Benjamin, D R
2016-02-01
Systematic literature review. Diastasis of the rectus abdominis muscle (DRAM) has been linked with low back pain, abdominal and pelvic dysfunction. Measurement is used to either screen or to monitor DRAM width. Determining which methods are suitable for screening and monitoring DRAM is of clinical value. To identify the best methods to screen for DRAM presence and monitor DRAM width. AMED, Embase, Medline, PubMed and CINAHL databases were searched for measurement property studies of DRAM measurement methods. Population characteristics, measurement methods/procedures and measurement information were extracted from included studies. Quality of all studies was evaluated using 'quality rating criteria'. When possible, reliability generalisation was conducted to provide combined reliability estimations. Thirteen studies evaluated measurement properties of the 'finger width'-method, tape measure, calipers, ultrasound, CT and MRI. Ultrasound was most evaluated. Methodological quality of these studies varied widely. Pearson's correlations of r = 0.66-0.79 were found between calipers and ultrasound measurements. Calipers and ultrasound had Intraclass Correlation Coefficients (ICC) of 0.78-0.97 for test-retest, inter- and intra-rater reliability. The 'finger width'-method had weighted Kappa's of 0.73-0.77 for test-retest reliability, but moderate agreement (63%; weighted Kappa = 0.53) between raters. Comparing calipers and ultrasound, low measurement error was found (above the umbilicus), and the methods had good agreement (83%; weighted Kappa = 0.66) for discriminative purposes. The available information support ultrasound and calipers as adequate methods to assess DRAM. For other methods limited measurement information of low to moderate quality is available and further evaluation of their measurement properties is required. Copyright © 2015 Elsevier Ltd. All rights reserved.
2014-01-01
Background Protein model quality assessment is an essential component of generating and using protein structural models. During the Tenth Critical Assessment of Techniques for Protein Structure Prediction (CASP10), we developed and tested four automated methods (MULTICOM-REFINE, MULTICOM-CLUSTER, MULTICOM-NOVEL, and MULTICOM-CONSTRUCT) that predicted both local and global quality of protein structural models. Results MULTICOM-REFINE was a clustering approach that used the average pairwise structural similarity between models to measure the global quality and the average Euclidean distance between a model and several top ranked models to measure the local quality. MULTICOM-CLUSTER and MULTICOM-NOVEL were two new support vector machine-based methods of predicting both the local and global quality of a single protein model. MULTICOM-CONSTRUCT was a new weighted pairwise model comparison (clustering) method that used the weighted average similarity between models in a pool to measure the global model quality. Our experiments showed that the pairwise model assessment methods worked better when a large portion of models in the pool were of good quality, whereas single-model quality assessment methods performed better on some hard targets when only a small portion of models in the pool were of reasonable quality. Conclusions Since digging out a few good models from a large pool of low-quality models is a major challenge in protein structure prediction, single model quality assessment methods appear to be poised to make important contributions to protein structure modeling. The other interesting finding was that single-model quality assessment scores could be used to weight the models by the consensus pairwise model comparison method to improve its accuracy. PMID:24731387
Cao, Renzhi; Wang, Zheng; Cheng, Jianlin
2014-04-15
Protein model quality assessment is an essential component of generating and using protein structural models. During the Tenth Critical Assessment of Techniques for Protein Structure Prediction (CASP10), we developed and tested four automated methods (MULTICOM-REFINE, MULTICOM-CLUSTER, MULTICOM-NOVEL, and MULTICOM-CONSTRUCT) that predicted both local and global quality of protein structural models. MULTICOM-REFINE was a clustering approach that used the average pairwise structural similarity between models to measure the global quality and the average Euclidean distance between a model and several top ranked models to measure the local quality. MULTICOM-CLUSTER and MULTICOM-NOVEL were two new support vector machine-based methods of predicting both the local and global quality of a single protein model. MULTICOM-CONSTRUCT was a new weighted pairwise model comparison (clustering) method that used the weighted average similarity between models in a pool to measure the global model quality. Our experiments showed that the pairwise model assessment methods worked better when a large portion of models in the pool were of good quality, whereas single-model quality assessment methods performed better on some hard targets when only a small portion of models in the pool were of reasonable quality. Since digging out a few good models from a large pool of low-quality models is a major challenge in protein structure prediction, single model quality assessment methods appear to be poised to make important contributions to protein structure modeling. The other interesting finding was that single-model quality assessment scores could be used to weight the models by the consensus pairwise model comparison method to improve its accuracy.
Neuderth, S; Lukasczik, M; Musekamp, G; Gerlich, C; Saupe-Heide, M; Löbmann, R; Vogel, H
2013-02-01
There so far is no standardized program for external quality assurance in inpatient parent-child prevention and rehabilitation in Germany. Therefore, instruments and methods of external quality assurance were developed and evaluated on behalf of the federal-level health insurance institutions. On the level of structure quality, a modular questionnaire for assessing structural features of rehabilitation/prevention centers, basic and allocation criteria as well as a checklist for visitations were developed. Structural data were collected in a nationwide survey of parent-child prevention and rehabilitation centers. Process and outcome quality data were collected in n=38 centers. Process quality was assessed using multiple methods (process-related structural features, case-related routine documentation, and incident-related patient questionnaires). Outcome quality was measured via patient questionnaires (n=1 799 patients). We used a multi-level modelling approach by adjusting relevant confounders on institutional and patient levels. The methods, instruments and analyzing procedures developed for measuring quality on the level of structure, processes and outcomes were adjusted in cooperation with all relevant stakeholders. Results are exemplarily presented for all quality assurance tools. For most of the risk-adjusted outcome parameters, we found no significant differences between institutions. For the first time, a comprehensive, standardized and generally applicable set of methods and instruments for routine use in comparative quality measurement of inpatient parent-child prevention and rehabilitation is available. However, it should be considered that the very heterogeneous field of family-oriented measures can not be covered entirely by an external quality assurance program. Therefore, methods and instruments have to be adapted continuously to the specifics of this area of health care and to new developments. © Georg Thieme Verlag KG Stuttgart · New York.
Use of ground penetrating radar for construction quality assurance of concrete pavement.
DOT National Transportation Integrated Search
2009-11-01
Extracting concrete cores is the most common method for measuring the thickness of concrete pavement for construction : quality control. Although this method provides a relatively accurate thickness measurement, it is destructive, labor : intensive, ...
RAPID, PCR-BASED METHODS FOR MEASURING THE QUALITY OF BATHING BEACH WATERS
The current methods for measuring the quality of recreational waters were developed in the 1970's and were recommended to the States by EPA in 1986. These methods detect and quantify Escherichia coli and enterococci, two bacteria that are consistently associated with fecal wast...
Measurement of M²-Curve for Asymmetric Beams by Self-Referencing Interferometer Wavefront Sensor.
Du, Yongzhao
2016-11-29
For asymmetric laser beams, the values of beam quality factor M x 2 and M y 2 are inconsistent if one selects a different coordinate system or measures beam quality with different experimental conditionals, even when analyzing the same beam. To overcome this non-uniqueness, a new beam quality characterization method named as M²-curve is developed. The M²-curve not only contains the beam quality factor M x 2 and M y 2 in the x -direction and y -direction, respectively; but also introduces a curve of M x α 2 versus rotation angle α of coordinate axis. Moreover, we also present a real-time measurement method to demonstrate beam propagation factor M²-curve with a modified self-referencing Mach-Zehnder interferometer based-wavefront sensor (henceforth SRI-WFS). The feasibility of the proposed method is demonstrated with the theoretical analysis and experiment in multimode beams. The experimental results showed that the proposed measurement method is simple, fast, and a single-shot measurement procedure without movable parts.
Measurement of M2-Curve for Asymmetric Beams by Self-Referencing Interferometer Wavefront Sensor
Du, Yongzhao
2016-01-01
For asymmetric laser beams, the values of beam quality factor Mx2 and My2 are inconsistent if one selects a different coordinate system or measures beam quality with different experimental conditionals, even when analyzing the same beam. To overcome this non-uniqueness, a new beam quality characterization method named as M2-curve is developed. The M2-curve not only contains the beam quality factor Mx2 and My2 in the x-direction and y-direction, respectively; but also introduces a curve of Mxα2 versus rotation angle α of coordinate axis. Moreover, we also present a real-time measurement method to demonstrate beam propagation factor M2-curve with a modified self-referencing Mach-Zehnder interferometer based-wavefront sensor (henceforth SRI-WFS). The feasibility of the proposed method is demonstrated with the theoretical analysis and experiment in multimode beams. The experimental results showed that the proposed measurement method is simple, fast, and a single-shot measurement procedure without movable parts. PMID:27916845
Measuring housing quality in the absence of a monetized real estate market.
Rindfuss, Ronald R; Piotrowski, Martin; Thongthai, Varachai; Prasartkul, Pramote
2007-03-01
Measuring housing quality or value or both has been a weak component of demographic and development research in less developed countries that lack an active real estate (housing) market. We describe a new method based on a standardized subjective rating process. It is designed to be used in settings that do not have an active, monetized housing market. The method is applied in an ongoing longitudinal study in north-east Thailand and could be straightforwardly used in many other settings. We develop a conceptual model of the process whereby households come to reside in high-quality or low-quality housing units. We use this theoretical model in conjunction with longitudinal data to show that the new method of measuring housing quality behaves as theoretically expected, thus providing evidence of face validity.
Exploring consumer understanding and preferences for pharmacy quality information
Shiyanbola, Olayinka O.; Mort, Jane R.
2014-01-01
Objective: To describe consumer understanding of pharmacy quality measures and consumer preferences for pharmacy quality information. Methods: Semi-structured focus group design was combined with survey methods. Adults who filled prescription medications for self-reported chronic illnesses at community pharmacies discussed their understanding of Pharmacy Quality Alliance approved quality measures. Questions examined preference of pharmacy quality information rating systems (e.g. stars versus percentages) and desired data display/formats. During the focus group, participants completed a survey examining their understanding of each pharmacy quality measure. All focus group discussions were transcribed verbatim. Data were analyzed using thematic analysis and descriptive statistics. Results: Thirty-four individuals participated (mean age= 62.85; SD=16.05). Participants were unfamiliar with quality measures information and their level of understanding differed for each quality measure. Surveys indicated 94.1% understood “Drug-Drug Interactions” and “Helping Patients Get Needed Medications” better than other measures (e.g., 76.5% understood “Suboptimal Treatment of Hypertension in Patients with Diabetes”). Qualitative analysis indicated participants preferred an overall pharmacy rating for quick access and use. However, participants also wanted quality measures information displayed by health conditions. Participants favored comparison of their pharmacy to city data instead of state data. Most participants liked star ratings better than percentages, letter grades, or numerical ratings. Conclusions: Individuals who have a chronic illness and regularly use community pharmacies are interested in pharmacy quality measures. However, specific quality measures were not understood by some participants. Participants had specific preferences for the display of pharmacy quality information which will be helpful in the design of appropriate quality report systems. PMID:25580169
Development and application of a statistical quality assessment method for dense-graded mixes.
DOT National Transportation Integrated Search
2004-08-01
This report describes the development of the statistical quality assessment method and the procedure for mapping the measures obtained from the quality assessment method to a composite pay factor. The application to dense-graded mixes is demonstrated...
Weng, Chunhua
2013-01-01
Objective To review the methods and dimensions of data quality assessment in the context of electronic health record (EHR) data reuse for research. Materials and methods A review of the clinical research literature discussing data quality assessment methodology for EHR data was performed. Using an iterative process, the aspects of data quality being measured were abstracted and categorized, as well as the methods of assessment used. Results Five dimensions of data quality were identified, which are completeness, correctness, concordance, plausibility, and currency, and seven broad categories of data quality assessment methods: comparison with gold standards, data element agreement, data source agreement, distribution comparison, validity checks, log review, and element presence. Discussion Examination of the methods by which clinical researchers have investigated the quality and suitability of EHR data for research shows that there are fundamental features of data quality, which may be difficult to measure, as well as proxy dimensions. Researchers interested in the reuse of EHR data for clinical research are recommended to consider the adoption of a consistent taxonomy of EHR data quality, to remain aware of the task-dependence of data quality, to integrate work on data quality assessment from other fields, and to adopt systematic, empirically driven, statistically based methods of data quality assessment. Conclusion There is currently little consistency or potential generalizability in the methods used to assess EHR data quality. If the reuse of EHR data for clinical research is to become accepted, researchers should adopt validated, systematic methods of EHR data quality assessment. PMID:22733976
Enhanced data validation strategy of air quality monitoring network.
Harkat, Mohamed-Faouzi; Mansouri, Majdi; Nounou, Mohamed; Nounou, Hazem
2018-01-01
Quick validation and detection of faults in measured air quality data is a crucial step towards achieving the objectives of air quality networks. Therefore, the objectives of this paper are threefold: (i) to develop a modeling technique that can be used to predict the normal behavior of air quality variables and help provide accurate reference for monitoring purposes; (ii) to develop fault detection method that can effectively and quickly detect any anomalies in measured air quality data. For this purpose, a new fault detection method that is based on the combination of generalized likelihood ratio test (GLRT) and exponentially weighted moving average (EWMA) will be developed. GLRT is a well-known statistical fault detection method that relies on maximizing the detection probability for a given false alarm rate. In this paper, we propose to develop GLRT-based EWMA fault detection method that will be able to detect the changes in the values of certain air quality variables; (iii) to develop fault isolation and identification method that allows defining the fault source(s) in order to properly apply appropriate corrective actions. In this paper, reconstruction approach that is based on Midpoint-Radii Principal Component Analysis (MRPCA) model will be developed to handle the types of data and models associated with air quality monitoring networks. All air quality modeling, fault detection, fault isolation and reconstruction methods developed in this paper will be validated using real air quality data (such as particulate matter, ozone, nitrogen and carbon oxides measurement). Copyright © 2017 Elsevier Inc. All rights reserved.
Quality measures in applications of image restoration.
Kriete, A; Naim, M; Schafer, L
2001-01-01
We describe a new method for the estimation of image quality in image restoration applications. We demonstrate this technique on a simulated data set of fluorescent beads, in comparison with restoration by three different deconvolution methods. Both the number of iterations and a regularisation factor are varied to enforce changes in the resulting image quality. First, the data sets are directly compared by an accuracy measure. These values serve to validate the image quality descriptor, which is developed on the basis of optical information theory. This most general measure takes into account the spectral energies and the noise, weighted in a logarithmic fashion. It is demonstrated that this method is particularly helpful as a user-oriented method to control the output of iterative image restorations and to eliminate the guesswork in choosing a suitable number of iterations.
NASA Astrophysics Data System (ADS)
Yang, Zhongming; Dou, Jiantai; Du, Jinyu; Gao, Zhishan
2018-03-01
Non-null interferometry could use to measure the radius of curvature (ROC), we have presented a virtual quadratic Newton rings phase-shifting moiré-fringes measurement method for large ROC measurement (Yang et al., 2016). In this paper, we propose a large ROC measurement method based on the evaluation of the interferogram-quality metric by the non-null interferometer. With the multi-configuration model of the non-null interferometric system in ZEMAX, the retrace errors and the phase introduced by the test surface are reconstructed. The interferogram-quality metric is obtained by the normalized phase-shifted testing Newton rings with the spherical surface model in the non-null interferometric system. The radius curvature of the test spherical surface can be obtained until the minimum of the interferogram-quality metric is found. Simulations and experimental results are verified the feasibility of our proposed method. For a spherical mirror with a ROC of 41,400 mm, the measurement accuracy is better than 0.13%.
NASA Astrophysics Data System (ADS)
Zhang, Xueliang; Feng, Xuezhi; Xiao, Pengfeng; He, Guangjun; Zhu, Liujun
2015-04-01
Segmentation of remote sensing images is a critical step in geographic object-based image analysis. Evaluating the performance of segmentation algorithms is essential to identify effective segmentation methods and optimize their parameters. In this study, we propose region-based precision and recall measures and use them to compare two image partitions for the purpose of evaluating segmentation quality. The two measures are calculated based on region overlapping and presented as a point or a curve in a precision-recall space, which can indicate segmentation quality in both geometric and arithmetic respects. Furthermore, the precision and recall measures are combined by using four different methods. We examine and compare the effectiveness of the combined indicators through geometric illustration, in an effort to reveal segmentation quality clearly and capture the trade-off between the two measures. In the experiments, we adopted the multiresolution segmentation (MRS) method for evaluation. The proposed measures are compared with four existing discrepancy measures to further confirm their capabilities. Finally, we suggest using a combination of the region-based precision-recall curve and the F-measure for supervised segmentation evaluation.
Quality Assurance of Chemical Measurements.
ERIC Educational Resources Information Center
Taylor, John K.
1981-01-01
Reviews aspects of quality control (methods to control errors) and quality assessment (verification that systems are operating within acceptable limits) including an analytical measurement system, quality control by inspection, control charts, systematic errors, and use of SRMs, materials for which properties are certified by the National Bureau…
Theory and practice for measuring health care quality
Berwick, Donald M.; Knapp, Marian Gilbert
1987-01-01
As competition, cost control, and new modes of delivery emerge in health care, there is a need to reexamine both the traditional definitions of health care quality and the methods by which it is measured. Industries other than health care have much to teach regarding the methods for obtaining, analyzing, and displaying data; techniques for problem identification, problem solving, and reassessment; and ideas about organizational factors that produce a high quality product or service. The Quality-of-Care Measurement Department at the Harvard Community Health Plan has built a program that draws from a distinguished health care quality assurance tradition and incorporates techniques that have been successful in other industries. PMID:10312319
What Is Nursing Home Quality and How Is It Measured?
ERIC Educational Resources Information Center
Castle, Nicholas G.; Ferguson, Jamie C.
2010-01-01
Purpose: In this commentary, we examine nursing home quality and indicators that have been used to measure nursing home quality. Design and Methods: A brief review of the history of nursing home quality is presented that provides some context and insight into currently used quality indicators. Donabedian's structure, process, and outcome (SPO)…
ERIC Educational Resources Information Center
Fleming, Steven T.
1992-01-01
The concept of risk-adjusted measures of quality is discussed, and a methodology is proposed for risk-adjusting and integrating multiple adverse outcomes of anesthesia services into measures for quality assurance and quality improvement programs. Although designed for a new anesthesiology database, the methods should apply to other health…
Traffic Data Quality Measurement : Final Report
DOT National Transportation Integrated Search
2004-09-15
One of the foremost recommendations from the FHWA sponsored workshops on Traffic Data Quality (TDQ) in 2003 was a call for "guidelines and standards for calculating data quality measures." These guidelines and standards are expected to contain method...
The Development of Quality Measures for the Performance and Interpretation of Esophageal Manometry
Yadlapati, Rena; Gawron, Andrew J.; Keswani, Rajesh N.; Bilimoria, Karl; Castell, Donald O.; Dunbar, Kerry B.; Gyawali, Chandra P.; Jobe, Blair A.; Katz, Philip O.; Katzka, David A.; Lacy, Brian E.; Massey, Benson T.; Richter, Joel E.; Schnoll-Sussman, Felice; Spechler, Stuart J.; Tatum, Roger; Vela, Marcelo F.; Pandolfino, John E.
2016-01-01
Background and Aims Esophageal manometry (EM) is the gold standard for the diagnosis of esophageal motility disorders. Variations in the performance and interpretation of EM result in discrepant diagnoses and unnecessary repeated procedures, and may negatively impact patient outcomes. A method to benchmark the procedural quality of EM is needed. The primary aim of this study was to develop quality measures for performing and interpreting EM. Methods The RAND/University of California, Los Angeles Appropriateness Methodology (RAM) was utilized. Fifteen experts in esophageal manometry were invited to be a part of the panel. Potential quality measures were identified through a literature search and interviews with experts. The expert panel ranked the proposed quality measures for appropriateness via a two-round process on the basis of RAM. Results Fourteen experts participated in all processes. A total of 29 measures were considered; 17 of these measures were ranked as appropriate and related to competency (2), pre-procedure (2), procedure (3) and interpretation (10). The latter 10 were integrated into a single composite measure. Thus, 8 final measures were determined to be appropriate quality measures for EM. Five strong recommendations were also endorsed by the experts, however they were not ranked as appropriate quality measures. Conclusions Eight formally validated quality measures for the performance and interpretation of EM were developed on the basis of RAM. These measures represent key aspects of a high-quality EM study and should be uniformly adopted. Evaluation of these measures in clinical practice is needed to assess their impact on outcomes. PMID:26499925
Houston, Lauren; Probst, Yasmine; Martin, Allison
2018-05-18
Data audits within clinical settings are extensively used as a major strategy to identify errors, monitor study operations and ensure high-quality data. However, clinical trial guidelines are non-specific in regards to recommended frequency, timing and nature of data audits. The absence of a well-defined data quality definition and method to measure error undermines the reliability of data quality assessment. This review aimed to assess the variability of source data verification (SDV) auditing methods to monitor data quality in a clinical research setting. The scientific databases MEDLINE, Scopus and Science Direct were searched for English language publications, with no date limits applied. Studies were considered if they included data from a clinical trial or clinical research setting and measured and/or reported data quality using a SDV auditing method. In total 15 publications were included. The nature and extent of SDV audit methods in the articles varied widely, depending upon the complexity of the source document, type of study, variables measured (primary or secondary), data audit proportion (3-100%) and collection frequency (6-24 months). Methods for coding, classifying and calculating error were also inconsistent. Transcription errors and inexperienced personnel were the main source of reported error. Repeated SDV audits using the same dataset demonstrated ∼40% improvement in data accuracy and completeness over time. No description was given in regards to what determines poor data quality in clinical trials. A wide range of SDV auditing methods are reported in the published literature though no uniform SDV auditing method could be determined for "best practice" in clinical trials. Published audit methodology articles are warranted for the development of a standardised SDV auditing method to monitor data quality in clinical research settings. Copyright © 2018. Published by Elsevier Inc.
Automated image quality assessment for chest CT scans.
Reeves, Anthony P; Xie, Yiting; Liu, Shuang
2018-02-01
Medical image quality needs to be maintained at standards sufficient for effective clinical reading. Automated computer analytic methods may be applied to medical images for quality assessment. For chest CT scans in a lung cancer screening context, an automated quality assessment method is presented that characterizes image noise and image intensity calibration. This is achieved by image measurements in three automatically segmented homogeneous regions of the scan: external air, trachea lumen air, and descending aorta blood. Profiles of CT scanner behavior are also computed. The method has been evaluated on both phantom and real low-dose chest CT scans and results show that repeatable noise and calibration measures may be realized by automated computer algorithms. Noise and calibration profiles show relevant differences between different scanners and protocols. Automated image quality assessment may be useful for quality control for lung cancer screening and may enable performance improvements to automated computer analysis methods. © 2017 American Association of Physicists in Medicine.
Using Clinical Data Standards to Measure Quality: A New Approach.
D'Amore, John D; Li, Chun; McCrary, Laura; Niloff, Jonathan M; Sittig, Dean F; McCoy, Allison B; Wright, Adam
2018-04-01
Value-based payment for care requires the consistent, objective calculation of care quality. Previous initiatives to calculate ambulatory quality measures have relied on billing data or individual electronic health records (EHRs) to calculate and report performance. New methods for quality measure calculation promoted by federal regulations allow qualified clinical data registries to report quality outcomes based on data aggregated across facilities and EHRs using interoperability standards. This research evaluates the use of clinical document interchange standards as the basis for quality measurement. Using data on 1,100 patients from 11 ambulatory care facilities and 5 different EHRs, challenges to quality measurement are identified and addressed for 17 certified quality measures. Iterative solutions were identified for 14 measures that improved patient inclusion and measure calculation accuracy. Findings validate this approach to improving measure accuracy while maintaining measure certification. Organizations that report care quality should be aware of how identified issues affect quality measure selection and calculation. Quality measure authors should consider increasing real-world validation and the consistency of measure logic in respect to issues identified in this research. Schattauer GmbH Stuttgart.
Signal Quality and the Reliability of Seismic Observations
NASA Astrophysics Data System (ADS)
Zeiler, C. P.; Velasco, A. A.; Pingitore, N. E.
2009-12-01
The ability to detect, time and measure seismic phases depends on the location, size, and quality of the recorded signals. Additional constraints are an analyst’s familiarity with a seismogenic zone and with the seismic stations that record the energy. Quantification and qualification of an analyst’s ability to detect, time and measure seismic signals has not been calculated or fully assessed. The fundamental measurement for computing the accuracy of a seismic measurement is the signal quality. Several methods have been proposed to measure signal quality; however, the signal-to-noise ratio (SNR) has been adopted as a short-term average over the long-term average. While the standard SNR is an easy and computationally inexpensive term, the overall statistical significance has not been computed for seismic measurement analysis. The prospect of canonizing the process of cataloging seismic arrivals hinges on the ability to repeat measurements made by different methods and analysts. The first step in canonizing phase measurements has been done by the IASPEI, which established a reference for accepted practices in naming seismic phases. The New Manual for Seismological Observatory Practices (NMSOP, 2002) outlines key observations for seismic phases recorded at different distances and proposes to quantify timing uncertainty with a user-specified windowing technique. However, this added measurement would not completely remove bias introduced by different techniques used by analysts to time seismic arrivals. The general guideline to time a seismic arrival is to record the time where a noted change in frequency and/or amplitude begins. This is generally achieved by enhancing the arrivals through filtering or beam forming. However, these enhancements can alter the characteristics of the arrival and how the arrival will be measured. Furthermore, each enhancement has user-specified parameters that can vary between analysts and this results in reduced ability to repeat measurements between analysts. The SPEAR project (Zeiler and Velasco, 2009) has started to explore the effects of comparing measurements from the same seismograms. Initial results showed that experience and the signal quality are the leading contributors to pick differences. However, the traditional SNR method of measuring signal quality was replaced by a Wide-band Spectral Ratio (WSR) due to a decrease in scatter. This observation brings up an important question of what is the best way to measure signal quality. We compare various methods (traditional SNR, WSR, power spectral density plots, Allan Variance) that have been proposed to measure signal quality and discuss which method provides the best tool to compare arrival time uncertainty.
Comparison of laboratory and field remote sensing methods to measure forage quality.
Guo, Xulin; Wilmshurst, John F; Li, Zhaoqin
2010-09-01
Recent research in range ecology has emphasized the importance of forage quality as a key indicator of rangeland condition. However, we lack tools to evaluate forage quality at scales appropriate for management. Using canopy reflectance data to measure forage quality has been conducted at both laboratory and field levels separately, but little work has been conducted to evaluate these methods simultaneously. The objective of this study is to find a reliable way of assessing grassland quality through measuring forage chemistry with reflectance. We studied a mixed grass ecosystem in Grasslands National Park of Canada and surrounding pastures, located in southern Saskatchewan. Spectral reflectance was collected at both in-situ field level and in the laboratory. Vegetation samples were collected at each site, sorted into the green grass portion, and then sent to a chemical company for measuring forage quality variables, including protein, lignin, ash, moisture at 135 °C, Neutral Detergent Fiber (NDF), Acid Detergent Fiber (ADF), Total Digestible, Digestible Energy, Net Energy for Lactation, Net Energy for Maintenance, and Net Energy for Gain. Reflectance data were processed with the first derivative transformation and continuum removal method. Correlation analysis was conducted on spectral and forage quality variables. A regression model was further built to investigate the possibility of using canopy spectral measurements to predict the grassland quality. Results indicated that field level prediction of protein of mixed grass species was possible (r² = 0.63). However, the relationship between canopy reflectance and the other forage quality variables was not strong.
Quan, May Lynn; Wells, Bryan J; McCready, David; Wright, Frances C; Fraser, Novlette; Gagliardi, Anna R
2010-02-01
Sentinel lymph node biopsy (SNLB) has been adopted as the standard method of axillary staging for women with clinically node-negative early-stage breast cancer. The false negative rate as a quality indicator is impractical given the need for a completion axillary dissection to calculate. The objective of this study was to develop practical quality indicators for SLNB using an expert consensus method and to determine if they were feasible to measure. We used a modified Delphi consensus process to develop quality indicators for SLNB. A multidisciplinary expert panel reviewed potential indicators extracted from the medical literature to select quality indicators that were relevant and measurable. Feasibility was determined by abstracting the quality indicator variables from a retrospective chart review. The expert panel prioritized 11 quality indicators as benchmarks for assessing the quality of surgical care in SNLB. Nine of the indicators were measurable at the chart or institutional level. A systematic evidence- and consensus-based approach was used to develop measurable quality indicators that could be used by practicing surgeons and administrators to evaluate performance of SLNB in breast cancer.
Data envelopment analysis in service quality evaluation: an empirical study
NASA Astrophysics Data System (ADS)
Najafi, Seyedvahid; Saati, Saber; Tavana, Madjid
2015-09-01
Service quality is often conceptualized as the comparison between service expectations and the actual performance perceptions. It enhances customer satisfaction, decreases customer defection, and promotes customer loyalty. Substantial literature has examined the concept of service quality, its dimensions, and measurement methods. We introduce the perceived service quality index (PSQI) as a single measure for evaluating the multiple-item service quality construct based on the SERVQUAL model. A slack-based measure (SBM) of efficiency with constant inputs is used to calculate the PSQI. In addition, a non-linear programming model based on the SBM is proposed to delineate an improvement guideline and improve service quality. An empirical study is conducted to assess the applicability of the method proposed in this study. A large number of studies have used DEA as a benchmarking tool to measure service quality. These models do not propose a coherent performance evaluation construct and consequently fail to deliver improvement guidelines for improving service quality. The DEA models proposed in this study are designed to evaluate and improve service quality within a comprehensive framework and without any dependency on external data.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Wilson, Rachel M; Tfaily, Malak M
These data are provided in support of the Commentary, Advanced molecular techniques provide a rigorous method for characterizing organic matter quality in complex systems, Wilson and Tfaily (2018). Measurement results demonstrate that optical characterization of peatland dissolved organic matter (DOM) may not fully capture classically identified chemical characteristics and may, therefore, not be the best measure of organic matter quality.
Sarkar, Sumona; Lund, Steven P; Vyzasatya, Ravi; Vanguri, Padmavathy; Elliott, John T; Plant, Anne L; Lin-Gibson, Sheng
2017-12-01
Cell counting measurements are critical in the research, development and manufacturing of cell-based products, yet determining cell quantity with accuracy and precision remains a challenge. Validating and evaluating a cell counting measurement process can be difficult because of the lack of appropriate reference material. Here we describe an experimental design and statistical analysis approach to evaluate the quality of a cell counting measurement process in the absence of appropriate reference materials or reference methods. The experimental design is based on a dilution series study with replicate samples and observations as well as measurement process controls. The statistical analysis evaluates the precision and proportionality of the cell counting measurement process and can be used to compare the quality of two or more counting methods. As an illustration of this approach, cell counting measurement processes (automated and manual methods) were compared for a human mesenchymal stromal cell (hMSC) preparation. For the hMSC preparation investigated, results indicated that the automated method performed better than the manual counting methods in terms of precision and proportionality. By conducting well controlled dilution series experimental designs coupled with appropriate statistical analysis, quantitative indicators of repeatability and proportionality can be calculated to provide an assessment of cell counting measurement quality. This approach does not rely on the use of a reference material or comparison to "gold standard" methods known to have limited assurance of accuracy and precision. The approach presented here may help the selection, optimization, and/or validation of a cell counting measurement process. Published by Elsevier Inc.
Evidence from various sources around the world indicate that there is a relationship between gastroenteritis in swimmers and the quality of the bathing water as measured with bacterial indicators of fecal contamination. Current EPA guidelines recommend the use of cultural method...
New method of noncontact temperature measurement in on-line textile production
NASA Astrophysics Data System (ADS)
Cheng, Xianping; Song, Xing-Li; Deng, Xing-Zhong
1993-09-01
Based on the condition of textile production the method of infrared non-contact temperature measurement is adcpted in the heat-setting and drying heat-treatment process . This method is used to monitor the moving cloth. The temperature of the cloth is displayed rapidly and exactly. The principle of the temperature measurement is analysed theoretically in this paper. Mathematical analysis and calculation are used for introducing signal transmitting method. Adopted method of combining software with hardware the temperature is corrected and compensated with the aid of a single-chip microcomputer. The results of test indicate that the application of temperature measurement instrument provides reliable parameters in the quality control. And it is an important measure on improving the quality of products.
Measuring quality in anatomic pathology.
Raab, Stephen S; Grzybicki, Dana Marie
2008-06-01
This article focuses mainly on diagnostic accuracy in measuring quality in anatomic pathology, noting that measuring any quality metric is complex and demanding. The authors discuss standardization and its variability within and across areas of care delivery and efforts involving defining and measuring error to achieve pathology quality and patient safety. They propose that data linking error to patient outcome are critical for developing quality improvement initiatives targeting errors that cause patient harm in addition to using methods of root cause analysis, beyond those traditionally used in cytologic-histologic correlation, to assist in the development of error reduction and quality improvement plans.
Comparing Two Methods for Reducing Variability in Voice Quality Measurements
ERIC Educational Resources Information Center
Kreiman, Jody; Gerratt, Bruce R.
2011-01-01
Purpose: Interrater disagreements in ratings of quality plague the study of voice. This study compared 2 methods for handling this variability. Method: Listeners provided multiple breathiness ratings for 2 sets of pathological voices, one including 20 male and 20 female voices unselected for quality and one including 20 breathy female voices.…
MTF measurement of LCDs by a linear CCD imager: I. Monochrome case
NASA Astrophysics Data System (ADS)
Kim, Tae-hee; Choe, O. S.; Lee, Yun Woo; Cho, Hyun-Mo; Lee, In Won
1997-11-01
We construct the modulation transfer function (MTF) measurement system of a LCD using a linear charge-coupled device (CCD) imager. The MTF used in optical system can not describe in the effect of both resolution and contrast on the image quality of display. Thus we present the new measurement method based on the transmission property of a LCD. While controlling contrast and brightness levels, the MTF is measured. From the result, we show that the method is useful for describing of the image quality. A ne measurement method and its condition are described. To demonstrate validity, the method is applied for comparison of the performance of two different LCDs.
Downhole steam quality measurement
Lee, D.O.; Montoya, P.C.; Muir, J.F.; Wayland, J.R. Jr.
1985-06-19
The present invention relates to an empirical electrical method for remote sensing of steam quality utilizing flow-through grids which allow measurement of the electrical properties of a flowing two-phase mixture. The measurement of steam quality in the oil field is important to the efficient application of steam assisted recovery of oil. Because of the increased energy content in higher quality steam it is important to maintain the highest possible steam quality at the injection sandface. The effectiveness of a steaming operation without a measure of steam quality downhole close to the point of injection would be difficult to determine. Therefore, a need exists for the remote sensing of steam quality.
Uses and biases of volunteer water quality data
Loperfido, J.V.; Beyer, P.; Just, C.L.; Schnoor, J.L.
2010-01-01
State water quality monitoring has been augmented by volunteer monitoring programs throughout the United States. Although a significant effort has been put forth by volunteers, questions remain as to whether volunteer data are accurate and can be used by regulators. In this study, typical volunteer water quality measurements from laboratory and environmental samples in Iowa were analyzed for error and bias. Volunteer measurements of nitrate+nitrite were significantly lower (about 2-fold) than concentrations determined via standard methods in both laboratory-prepared and environmental samples. Total reactive phosphorus concentrations analyzed by volunteers were similar to measurements determined via standard methods in laboratory-prepared samples and environmental samples, but were statistically lower than the actual concentration in four of the five laboratory-prepared samples. Volunteer water quality measurements were successful in identifying and classifying most of the waters which violate United States Environmental Protection Agency recommended water quality criteria for total nitrogen (66%) and for total phosphorus (52%) with the accuracy improving when accounting for error and biases in the volunteer data. An understanding of the error and bias in volunteer water quality measurements can allow regulators to incorporate volunteer water quality data into total maximum daily load planning or state water quality reporting. ?? 2010 American Chemical Society.
Estimating structure quality trends in the Protein Data Bank by equivalent resolution.
Bagaria, Anurag; Jaravine, Victor; Güntert, Peter
2013-10-01
The quality of protein structures obtained by different experimental and ab-initio calculation methods varies considerably. The methods have been evolving over time by improving both experimental designs and computational techniques, and since the primary aim of these developments is the procurement of reliable and high-quality data, better techniques resulted on average in an evolution toward higher quality structures in the Protein Data Bank (PDB). Each method leaves a specific quantitative and qualitative "trace" in the PDB entry. Certain information relevant to one method (e.g. dynamics for NMR) may be lacking for another method. Furthermore, some standard measures of quality for one method cannot be calculated for other experimental methods, e.g. crystal resolution or NMR bundle RMSD. Consequently, structures are classified in the PDB by the method used. Here we introduce a method to estimate a measure of equivalent X-ray resolution (e-resolution), expressed in units of Å, to assess the quality of any type of monomeric, single-chain protein structure, irrespective of the experimental structure determination method. We showed and compared the trends in the quality of structures in the Protein Data Bank over the last two decades for five different experimental techniques, excluding theoretical structure predictions. We observed that as new methods are introduced, they undergo a rapid method development evolution: within several years the e-resolution score becomes similar for structures obtained from the five methods and they improve from initially poor performance to acceptable quality, comparable with previously established methods, the performance of which is essentially stable. Copyright © 2013 Elsevier Ltd. All rights reserved.
2011-01-01
Background Melasma is a common hyperpigmentation disorder that has a significant effect on an individual's quality of life. However, there is no preference-based measurement that reflects quality of life in patients with melasma. The objective of this study was to assess the impact of melasma on quality of life by using a health status measurement - the Dermatology Life Quality Index (DLQI) - and a preference-based measurement - Willingness to Pay (WTP) and Time Trade-Off (TTO). Methods A cross-sectional descriptive study was conducted. Seventy-eight patients with melasma who attended the melasma clinic at Siriraj Hospital from February to March 2009 were recruited in this study. The Thai version of the DLQI, questionnaires about WTP, standard TTO, and daily TTO were used to assess patients' quality of life. Results Seventy-seven (98.7%) patients were female with a mean age of 47.8 ± 7.9 years. The mean health utility based on standard TTO was 0.96. The utility obtained by the daily TTO method was 0.92 and was significantly correlated with an economically inactive occupation (p < 0.05). The mean monthly WTP for the most effective treatment was 1,157 baht (7.2% of monthly income), ranging from 100 to 5,000 baht (1 USD ~ 35.1 baht). The WTP was significantly correlated with monthly personal income and the total DLQI score. Conclusion The WTP method could be a useful tool with which to measure the quality of life of patients with melasma. PMID:22182399
Characterization of Adipose Tissue Product Quality Using Measurements of Oxygen Consumption Rate.
Suszynski, Thomas M; Sieber, David A; Mueller, Kathryn; Van Beek, Allen L; Cunningham, Bruce L; Kenkel, Jeffrey M
2018-03-14
Fat grafting is a common procedure in plastic surgery but associated with unpredictable graft retention. Adipose tissue (AT) "product" quality is affected by the methods used for harvest, processing and transfer, which vary widely amongst surgeons. Currently, there is no method available to accurately assess the quality of AT. In this study, we present a novel method for the assessment of AT product quality through direct measurements of oxygen consumption rate (OCR). OCR has exhibited potential in predicting outcomes following pancreatic islet transplant. Our study aim was to reapportion existing technology for its use with AT preparations and to confirm that these measurements are feasible. OCR was successfully measured for en bloc and postprocessed AT using a stirred microchamber system. OCR was then normalized to DNA content (OCR/DNA), which represents the AT product quality. Mean (±SE) OCR/DNA values for fresh en bloc and post-processed AT were 149.8 (± 9.1) and 61.1 (± 6.1) nmol/min/mg DNA, respectively. These preliminary data suggest that: (1) OCR and OCR/DNA measurements of AT harvested using conventional protocol are feasible; and (2) standard AT processing results in a decrease in overall AT product quality. OCR measurements of AT using existing technology can be done and enables accurate, real-time, quantitative assessment of the quality of AT product prior to transfer. The availability and further validation of this type of assay could enable optimization of fat grafting protocol by providing a tool for the more detailed study of procedural variables that affect AT product quality.
Benchmarking, Total Quality Management, and Libraries.
ERIC Educational Resources Information Center
Shaughnessy, Thomas W.
1993-01-01
Discussion of the use of Total Quality Management (TQM) in higher education and academic libraries focuses on the identification, collection, and use of reliable data. Methods for measuring quality, including benchmarking, are described; performance measures are considered; and benchmarking techniques are examined. (11 references) (MES)
Water Quality Sensing and Spatio-Temporal Monitoring Structure with Autocorrelation Kernel Methods.
Vizcaíno, Iván P; Carrera, Enrique V; Muñoz-Romero, Sergio; Cumbal, Luis H; Rojo-Álvarez, José Luis
2017-10-16
Pollution on water resources is usually analyzed with monitoring campaigns, which consist of programmed sampling, measurement, and recording of the most representative water quality parameters. These campaign measurements yields a non-uniform spatio-temporal sampled data structure to characterize complex dynamics phenomena. In this work, we propose an enhanced statistical interpolation method to provide water quality managers with statistically interpolated representations of spatial-temporal dynamics. Specifically, our proposal makes efficient use of the a priori available information of the quality parameter measurements through Support Vector Regression (SVR) based on Mercer's kernels. The methods are benchmarked against previously proposed methods in three segments of the Machángara River and one segment of the San Pedro River in Ecuador, and their different dynamics are shown by statistically interpolated spatial-temporal maps. The best interpolation performance in terms of mean absolute error was the SVR with Mercer's kernel given by either the Mahalanobis spatial-temporal covariance matrix or by the bivariate estimated autocorrelation function. In particular, the autocorrelation kernel provides with significant improvement of the estimation quality, consistently for all the six water quality variables, which points out the relevance of including a priori knowledge of the problem.
Water Quality Sensing and Spatio-Temporal Monitoring Structure with Autocorrelation Kernel Methods
Vizcaíno, Iván P.; Muñoz-Romero, Sergio; Cumbal, Luis H.
2017-01-01
Pollution on water resources is usually analyzed with monitoring campaigns, which consist of programmed sampling, measurement, and recording of the most representative water quality parameters. These campaign measurements yields a non-uniform spatio-temporal sampled data structure to characterize complex dynamics phenomena. In this work, we propose an enhanced statistical interpolation method to provide water quality managers with statistically interpolated representations of spatial-temporal dynamics. Specifically, our proposal makes efficient use of the a priori available information of the quality parameter measurements through Support Vector Regression (SVR) based on Mercer’s kernels. The methods are benchmarked against previously proposed methods in three segments of the Machángara River and one segment of the San Pedro River in Ecuador, and their different dynamics are shown by statistically interpolated spatial-temporal maps. The best interpolation performance in terms of mean absolute error was the SVR with Mercer’s kernel given by either the Mahalanobis spatial-temporal covariance matrix or by the bivariate estimated autocorrelation function. In particular, the autocorrelation kernel provides with significant improvement of the estimation quality, consistently for all the six water quality variables, which points out the relevance of including a priori knowledge of the problem. PMID:29035333
Quality assurance, training, and certification in ozone air pollution studies
Susan Schilling; Paul Miller; Brent Takemoto
1996-01-01
Uniform, or standard, measurement methods of data are critical to projects monitoring change to forest systems. Standardized methods, with known or estimable errors, contribute greatly to the confidence associated with decisions on the basis of field data collections (Zedaker and Nicholas 1990). Quality assurance (QA) for the measurement process includes operations and...
ERIC Educational Resources Information Center
Brown, Ivan; Hatton, Chris; Emerson, Eric
2013-01-01
Quality of life is a social construct that is measured by what are considered to be its most appropriate indicators. Quality of life measurement in intellectual disability reflects a variety of indicators, often grouped under life domains. Subjective and objective methods of measuring indicators each have strengths and drawbacks, but it is…
Measuring Quality in Online Education: A Meta-Synthesis
ERIC Educational Resources Information Center
Esfijani, Azam
2018-01-01
This article presents a meta-synthesis review of quality of online education (QOE) measurement approaches. In order to survey the existing body of knowledge, a qualitative method was employed to investigate what quality of online education is comprised of and how the concept has been measured through the literature. To achieve this, a total of 112…
The importance of quality control in validating concentrations ...
A national-scale survey of 247 contaminants of emerging concern (CECs), including organic and inorganic chemical compounds, and microbial contaminants, was conducted in source and treated drinking water samples from 25 treatment plants across the United States. Multiple methods were used to determine these CECs, including six analytical methods to measure 174 pharmaceuticals, personal care products, and pesticides. A three-component quality assurance/quality control (QA/QC) program was designed for the subset of 174 CECs which allowed us to assess and compare performances of the methods used. The three components included: 1) a common field QA/QC protocol and sample design, 2) individual investigator-developed method-specific QA/QC protocols, and 3) a suite of 46 method comparison analytes that were determined in two or more analytical methods. Overall method performance for the 174 organic chemical CECs was assessed by comparing spiked recoveries in reagent, source, and treated water over a two-year period. In addition to the 247 CECs reported in the larger drinking water study, another 48 pharmaceutical compounds measured did not consistently meet predetermined quality standards. Methodologies that did not seem suitable for these analytes are overviewed. The need to exclude analytes based on method performance demonstrates the importance of additional QA/QC protocols. This paper compares the method performance of six analytical methods used to measure 174 emer
Performance of biometric quality measures.
Grother, Patrick; Tabassi, Elham
2007-04-01
We document methods for the quantitative evaluation of systems that produce a scalar summary of a biometric sample's quality. We are motivated by a need to test claims that quality measures are predictive of matching performance. We regard a quality measurement algorithm as a black box that converts an input sample to an output scalar. We evaluate it by quantifying the association between those values and observed matching results. We advance detection error trade-off and error versus reject characteristics as metrics for the comparative evaluation of sample quality measurement algorithms. We proceed this with a definition of sample quality, a description of the operational use of quality measures. We emphasize the performance goal by including a procedure for annotating the samples of a reference corpus with quality values derived from empirical recognition scores.
Human voice quality measurement in noisy environments.
Ueng, Shyh-Kuang; Luo, Cheng-Ming; Tsai, Tsung-Yu; Yeh, Hsuan-Chen
2015-01-01
Computerized acoustic voice measurement is essential for the diagnosis of vocal pathologies. Previous studies showed that ambient noises have significant influences on the accuracy of voice quality assessment. This paper presents a voice quality assessment system that can accurately measure qualities of voice signals, even though the input voice data are contaminated by low-frequency noises. The ambient noises in our living rooms and laboratories are collected and the frequencies of these noises are analyzed. Based on the analysis, a filter is designed to reduce noise level of the input voice signal. Then, improved numerical algorithms are employed to extract voice parameters from the voice signal to reveal the health of the voice signal. Compared with MDVP and Praat, the proposed method outperforms these two widely used programs in measuring fundamental frequency and harmonic-to-noise ratio, and its performance is comparable to these two famous programs in computing jitter and shimmer. The proposed voice quality assessment method is resistant to low-frequency noises and it can measure human voice quality in environments filled with noises from air-conditioners, ceiling fans and cooling fans of computers.
Air Quality Measurements for Science and Policy
Air quality measurements and the methods used to conduct them are vital to advancing our knowledge of the source-to-receptor-to-health effects continuum1-3. This information then forms the basis for evaluating and managing air quality to protect human health and welfa...
Baby-MONITOR: A Composite Indicator of NICU Quality
Kowalkowski, Marc A.; Zupancic, John A. F.; Pietz, Kenneth; Richardson, Peter; Draper, David; Hysong, Sylvia J.; Thomas, Eric J.; Petersen, Laura A.; Gould, Jeffrey B.
2014-01-01
BACKGROUND AND OBJECTIVES: NICUs vary in the quality of care delivered to very low birth weight (VLBW) infants. NICU performance on 1 measure of quality only modestly predicts performance on others. Composite measurement of quality of care delivery may provide a more comprehensive assessment of quality. The objective of our study was to develop a robust composite indicator of quality of NICU care provided to VLBW infants that accurately discriminates performance among NICUs. METHODS: We developed a composite indicator, Baby-MONITOR, based on 9 measures of quality chosen by a panel of experts. Measures were standardized, equally weighted, and averaged. We used the California Perinatal Quality Care Collaborative database to perform across-sectional analysis of care given to VLBW infants between 2004 and 2010. Performance on the Baby-MONITOR is not an absolute marker of quality but indicates overall performance relative to that of the other NICUs. We used sensitivity analyses to assess the robustness of the composite indicator, by varying assumptions and methods. RESULTS: Our sample included 9023 VLBW infants in 22 California regional NICUs. We found significant variations within and between NICUs on measured components of the Baby-MONITOR. Risk-adjusted composite scores discriminated performance among this sample of NICUs. Sensitivity analysis that included different approaches to normalization, weighting, and aggregation of individual measures showed the Baby-MONITOR to be robust (r = 0.89–0.99). CONCLUSIONS: The Baby-MONITOR may be a useful tool to comprehensively assess the quality of care delivered by NICUs. PMID:24918221
The Q-Sort method: use in landscape assessment research and landscape planning
David G. Pitt; Ervin H. Zube
1979-01-01
The assessment of visual quality inherently involves the measurement of perceptual response to landscape. The Q-Sort Method is a psychometric technique which produces reliable and valid interval measurements of people's perceptions of landscape visual quality as depicted in photographs. It is readily understood by participants across a wide range of age groups and...
Shallow Reflection Method for Water-Filled Void Detection and Characterization
NASA Astrophysics Data System (ADS)
Zahari, M. N. H.; Madun, A.; Dahlan, S. H.; Joret, A.; Hazreek, Z. A. M.; Mohammad, A. H.; Izzaty, R. A.
2018-04-01
Shallow investigation is crucial in enhancing the characteristics of subsurface void commonly encountered in civil engineering, and one such technique commonly used is seismic-reflection technique. An assessment of the effectiveness of such an approach is critical to determine whether the quality of the works meets the prescribed requirements. Conventional quality testing suffers limitations including: limited coverage (both area and depth) and problems with resolution quality. Traditionally quality assurance measurements use laboratory and in-situ invasive and destructive tests. However geophysical approaches, which are typically non-invasive and non-destructive, offer a method by which improvement of detection can be measured in a cost-effective way. Of this seismic reflection have proved useful to assess void characteristic, this paper evaluates the application of shallow seismic-reflection method in characterizing the water-filled void properties at 0.34 m depth, specifically for detection and characterization of void measurement using 2-dimensional tomography.
7 CFR 90.102 - Quality assurance review.
Code of Federal Regulations, 2011 CFR
2011-01-01
... INTRODUCTION Quality Assurance § 90.102 Quality assurance review. (a) Each laboratory performing tests and... review of the adequacy of quality control measures taken by the laboratory for the standardized method of...
7 CFR 90.102 - Quality assurance review.
Code of Federal Regulations, 2012 CFR
2012-01-01
... INTRODUCTION Quality Assurance § 90.102 Quality assurance review. (a) Each laboratory performing tests and... review of the adequacy of quality control measures taken by the laboratory for the standardized method of...
7 CFR 90.102 - Quality assurance review.
Code of Federal Regulations, 2013 CFR
2013-01-01
... INTRODUCTION Quality Assurance § 90.102 Quality assurance review. (a) Each laboratory performing tests and... review of the adequacy of quality control measures taken by the laboratory for the standardized method of...
7 CFR 90.102 - Quality assurance review.
Code of Federal Regulations, 2014 CFR
2014-01-01
... INTRODUCTION Quality Assurance § 90.102 Quality assurance review. (a) Each laboratory performing tests and... review of the adequacy of quality control measures taken by the laboratory for the standardized method of...
Interrupted Time Series Versus Statistical Process Control in Quality Improvement Projects.
Andersson Hagiwara, Magnus; Andersson Gäre, Boel; Elg, Mattias
2016-01-01
To measure the effect of quality improvement interventions, it is appropriate to use analysis methods that measure data over time. Examples of such methods include statistical process control analysis and interrupted time series with segmented regression analysis. This article compares the use of statistical process control analysis and interrupted time series with segmented regression analysis for evaluating the longitudinal effects of quality improvement interventions, using an example study on an evaluation of a computerized decision support system.
Systematic review of scope and quality of electronic patient record data in primary care
Thiru, Krish; Hassey, Alan; Sullivan, Frank
2003-01-01
Objective To systematically review measures of data quality in electronic patient records (EPRs) in primary care. Design Systematic review of English language publications, 1980-2001. Data sources Bibliographic searches of medical databases, specialist medical informatics databases, conference proceedings, and institutional contacts. Study selection Studies selected according to a predefined framework for categorising review papers. Data extraction Reference standards and measurements used to judge quality. Results Bibliographic searches identified 4589 publications. After primary exclusions 174 articles were classified, 52 of which met the inclusion criteria for review. Selected studies were primarily descriptive surveys. Variability in methods prevented meta-analysis of results. Forty eight publications were concerned with diagnostic data, 37 studies measured data quality, and 15 scoped EPR quality. Reliability of data was assessed with rate comparison. Measures of sensitivity were highly dependent on the element of EPR data being investigated, while the positive predictive value was consistently high, indicating good validity. Prescribing data were generally of better quality than diagnostic or lifestyle data. Conclusion The lack of standardised methods for assessment of quality of data in electronic patient records makes it difficult to compare results between studies. Studies should present data quality measures with clear numerators, denominators, and confidence intervals. Ambiguous terms such as “accuracy” should be avoided unless precisely defined. PMID:12750210
ERIC Educational Resources Information Center
Trigg, Richard; Skevington, Suzanne M.; Jones, Roy W.
2007-01-01
Purpose: The study aim was to develop a measure of self-reported quality of life (QoL) for people with mild to moderate dementia based on their views--the Bath Assessment of Subjective Quality of Life in Dementia (BASQID). Design and Methods: We developed the measure through multiple stages. Two field tests of the measure (ns = 60 and 150)…
MO-F-211-01: Methods for Completing Practice Quality Improvement (PQI).
Johnson, J; Brown, K; Ibbott, G; Pawlicki, T
2012-06-01
Practice Quality Improvement (PQI) is becoming an expected part of routine practice in healthcare as an approach to provide more efficient, effective and high quality care. Additionally, as part of the ABR's Maintenance of Certification (MOC) pathway, medical physicists are now expected to complete a PQI project. This session will describe the history behind and benefits of the ABR's MOC program, provide details of quality improvement methods and how to successfully complete a PQI project. PQI methods include various commonly used engineering and management tools. The Plan-Do-Study-Act (PDSA) cycle will be presented as one project planning and implementation tool. Other PQI analysis instruments such as flowcharts, Pareto charts, process control charts and fishbone diagrams will also be explained with examples. Cause analysis, solution development and implementation, and post-implementation measurement will be presented. Project identification and definition as well as appropriate measurement tool selection will be offered. Methods to choose key quality metrics (key quality indicators) will also be addressed. Several sample PQI projects and templates available through the AAPM and other organizations will be described. At least three examples of completed PQI projects will be shared. 1. Identify and define a PQI project 2. Identify and select measurement methods/techniques for use with the PQI project 3. Describe example(s) of completed projects. © 2012 American Association of Physicists in Medicine.
ERIC Educational Resources Information Center
Spanbauer, Stanley J.
The Measurement and Costing Model (MCM) described in this book was developed and tested at Fox Valley Technical College (FVTC), Wisconsin, to enhance the college's quality improvement process and to serve as a guide to other institutions interested in improving their quality. The book presents a description of the model and outlines seven steps…
Development and testing of emergency department patient transfer communication measures.
Klingner, Jill; Moscovice, Ira
2012-01-01
Communication problems are a major contributing factor to adverse events in hospitals.(1) The contextual environment in small rural hospitals increases the importance of emergency department (ED) patient transfer communication quality. This study addresses the communication problems through the development and testing of ED quality measurement of interfacility patient transfer communication. Input from existing measures, measurement and health care delivery experts, as well as hospital frontline staff was used to design and modify ED quality measures. Three field tests were conducted to determine the feasibility of data collection and the effectiveness of different training methods and types of partnerships. Measures were evaluated based on their prevalence, ease of data collection, and usefulness for internal and external improvement. It is feasible to collect ED quality measure data. Different data sources, data collection, and data entry methods, training and partners can be used to examine hospital ED quality. There is significant room for improvement in the communication of patient information between health care facilities. Current health care reform efforts highlight the importance of clear communication between organizations held accountable for patient safety and outcomes. The patient transfer communication measures have been tested in a wide range of rural settings and have been vetted nationally. They have been endorsed by the National Quality Forum, are included in the National Quality Measurement Clearinghouse supported by the Agency for Health Care Research and Quality (AHRQ), and are under consideration by the Centers for Medicare and Medicaid Services for future payment determinations beginning in calendar year 2013. © 2011 National Rural Health Association.
A Simple Sampling Method for Estimating the Accuracy of Large Scale Record Linkage Projects.
Boyd, James H; Guiver, Tenniel; Randall, Sean M; Ferrante, Anna M; Semmens, James B; Anderson, Phil; Dickinson, Teresa
2016-05-17
Record linkage techniques allow different data collections to be brought together to provide a wider picture of the health status of individuals. Ensuring high linkage quality is important to guarantee the quality and integrity of research. Current methods for measuring linkage quality typically focus on precision (the proportion of incorrect links), given the difficulty of measuring the proportion of false negatives. The aim of this work is to introduce and evaluate a sampling based method to estimate both precision and recall following record linkage. In the sampling based method, record-pairs from each threshold (including those below the identified cut-off for acceptance) are sampled and clerically reviewed. These results are then applied to the entire set of record-pairs, providing estimates of false positives and false negatives. This method was evaluated on a synthetically generated dataset, where the true match status (which records belonged to the same person) was known. The sampled estimates of linkage quality were relatively close to actual linkage quality metrics calculated for the whole synthetic dataset. The precision and recall measures for seven reviewers were very consistent with little variation in the clerical assessment results (overall agreement using the Fleiss Kappa statistics was 0.601). This method presents as a possible means of accurately estimating matching quality and refining linkages in population level linkage studies. The sampling approach is especially important for large project linkages where the number of record pairs produced may be very large often running into millions.
Kristensen, Gunn B B; Rustad, Pål; Berg, Jens P; Aakre, Kristin M
2016-09-01
We undertook this study to evaluate method differences for 5 components analyzed by immunoassays, to explore whether the use of method-dependent reference intervals may compensate for method differences, and to investigate commutability of external quality assessment (EQA) materials. Twenty fresh native single serum samples, a fresh native serum pool, Nordic Federation of Clinical Chemistry Reference Serum X (serum X) (serum pool), and 2 EQA materials were sent to 38 laboratories for measurement of cobalamin, folate, ferritin, free T4, and thyroid-stimulating hormone (TSH) by 5 different measurement procedures [Roche Cobas (n = 15), Roche Modular (n = 4), Abbott Architect (n = 8), Beckman Coulter Unicel (n = 2), and Siemens ADVIA Centaur (n = 9)]. The target value for each component was calculated based on the mean of method means or measured by a reference measurement procedure (free T4). Quality specifications were based on biological variation. Local reference intervals were reported from all laboratories. Method differences that exceeded acceptable bias were found for all components except folate. Free T4 differences from the uncommonly used reference measurement procedure were large. Reference intervals differed between measurement procedures but also within 1 measurement procedure. The serum X material was commutable for all components and measurement procedures, whereas the EQA materials were noncommutable in 13 of 50 occasions (5 components, 5 methods, 2 EQA materials). The bias between the measurement procedures was unacceptably large in 4/5 tested components. Traceability to reference materials as claimed by the manufacturers did not lead to acceptable harmonization. Adjustment of reference intervals in accordance with method differences and use of commutable EQA samples are not implemented commonly. © 2016 American Association for Clinical Chemistry.
A Method of Assembling Cross-Sectional Indicators into a Community Quality of Life
ERIC Educational Resources Information Center
Epley, Donald R.; Menon, Mohan
2008-01-01
This study develops a new method of measuring quality of life at the local and state level. Further, it presents a methodology that combines heterogeneous indicators from different fields, such as economics, social, and health, into one total measurement. The technique shown can be used to compare one region with another, or compare one metro area…
General introduction for the “National Field Manual for the Collection of Water-Quality Data”
,
2018-02-28
BackgroundAs part of its mission, the U.S. Geological Survey (USGS) collects data to assess the quality of our Nation’s water resources. A high degree of reliability and standardization of these data are paramount to fulfilling this mission. Documentation of nationally accepted methods used by USGS personnel serves to maintain consistency and technical quality in data-collection activities. “The National Field Manual for the Collection of Water-Quality Data” (NFM) provides documented guidelines and protocols for USGS field personnel who collect water-quality data. The NFM provides detailed, comprehensive, and citable procedures for monitoring the quality of surface water and groundwater. Topics in the NFM include (1) methods and protocols for sampling water resources, (2) methods for processing samples for analysis of water quality, (3) methods for measuring field parameters, and (4) specialized procedures, such as sampling water for low levels of mercury and organic wastewater chemicals, measuring biological indicators, and sampling bottom sediment for chemistry. Personnel who collect water-quality data for national USGS programs and projects, including projects supported by USGS cooperative programs, are mandated to use protocols provided in the NFM per USGS Office of Water Quality Technical Memorandum 2002.13. Formal training, for example, as provided in the USGS class, “Field Water-Quality Methods for Groundwater and Surface Water,” and field apprenticeships supplement the guidance provided in the NFM and ensure that the data collected are high quality, accurate, and scientifically defensible.
International Airline Quality Measurement
DOT National Transportation Integrated Search
1998-01-01
Historically, airline quality has been measured through the use of surveys that ask the consumers to make a comparison between expectations and outcomes. This method was informative but very cumbersome in a rapidly changing environment. This paper ou...
Liu, Yong; Wang, Limin; Pang, Richard; Mo, Nanxun; Hu, Yan; Deng, Qian; Hu, Zhaohui
2015-05-01
The aim of this paper is to describe the designing and implementation of a web-based plasma glucose measurement quality monitoring system to assess the analytical quality of plasma glucose measurements in multicenter population study and provide evidence for the future studies. In the chronic non-communicable disease and related factor surveillance in China, a web based quality monitoring system for plasma glucose measurement was established to conduct evaluation on plasma glucose monitoring quality and effectiveness in 302 surveillance centers, including quality control data entry, transmission and feedback. The majority of the surveillance centers met the quality requirements and passed the evaluation of reproducibility and precision of plasma glucose measurement, only a few centers required intensive training and re-assessment. In order to ensure the completeness and reliability of plasma glucose measurement in the surveillance centers, the establishment of web-based plasma glucose measurement quality control system can facilitate the identification of the qualified surveillance centers and evaluation of plasma glucose measurement quality in different regions. Communication and training are important in ensuring plasma glucose measurement quality. It is necessary to further improve this web-based plasma glucose measurement quality monitoring system in the future to reduce the method specific plasma glucose measurement bias.
Assessment of Patient Empowerment - A Systematic Review of Measures
Barr, Paul J.; Scholl, Isabelle; Bravo, Paulina; Faber, Marjan J.; Elwyn, Glyn; McAllister, Marion
2015-01-01
Background Patient empowerment has gained considerable importance but uncertainty remains about the best way to define and measure it. The validity of empirical findings depends on the quality of measures used. This systematic review aims to provide an overview of studies assessing psychometric properties of questionnaires purporting to capture patient empowerment, evaluate the methodological quality of these studies and assess the psychometric properties of measures identified. Methods Electronic searches in five databases were combined with reference tracking of included articles. Peer-reviewed articles reporting psychometric testing of empowerment measures for adult patients in French, German, English, Portuguese and Spanish were included. Study characteristics, constructs operationalised and psychometric properties were extracted. The quality of study design, methods and reporting was assessed using the COSMIN checklist. The quality of psychometric properties was assessed using Terwee’s 2007 criteria. Findings 30 studies on 19 measures were included. Six measures are generic, while 13 were developed for a specific condition (N=4) or specialty (N=9). Most studies tested measures in English (N=17) or Swedish (N=6). Sample sizes of included studies varied from N=35 to N=8261. A range of patient empowerment constructs was operationalised in included measures. These were classified into four domains: patient states, experiences and capacities; patient actions and behaviours; patient self-determination within the healthcare relationship and patient skills development. Quality assessment revealed several flaws in methodological study quality with COSMIN scores mainly fair or poor. The overall quality of psychometric properties of included measures was intermediate to positive. Certain psychometric properties were not tested for most measures. Discussion Findings provide a basis from which to develop consensus on a core set of patient empowerment constructs and for further work to develop a (set of) appropriately validated measure(s) to capture this. The methodological quality of psychometric studies could be improved by adhering to published quality criteria. PMID:25970618
Summary of EPA Emission Test Methods
This document provides the publication date and rule status for the air emission test methods, performance specifications and quality assurance procedures. It is updated by the Measurement Technology Group, part of the Air Quality Assessment Div., OAQPS.
Methods for collecting algal samples as part of the National Water-Quality Assessment Program
Porter, Stephen D.; Cuffney, Thomas F.; Gurtz, Martin E.; Meador, Michael R.
1993-01-01
Benthic algae (periphyton) and phytoplankton communities are characterized in the U.S. Geological Survey's National Water-Quality Assessment Program as part of an integrated physical, chemical, and biological assessment of the Nation's water quality. This multidisciplinary approach provides multiple lines of evidence for evaluating water-quality status and trends, and for refining an understanding of the factors that affect water-quality conditions locally, regionally, and nationally. Water quality can be characterized by evaluating the results of qualitative and quantitative measurements of the algal community. Qualitative periphyton samples are collected to develop of list of taxa present in the sampling reach. Quantitative periphyton samples are collected to measure algal community structure within selected habitats. These samples of benthic algal communities are collected from natural substrates, using the sampling methods that are most appropriate for the habitat conditions. Phytoplankton samples may be collected in large nonwadeable streams and rivers to meet specific program objectives. Estimates of algal biomass (chlorophyll content and ash-free dry mass) also are optional measures that may be useful for interpreting water-quality conditions. A nationally consistent approach provides guidance on site, reach, and habitat selection, as well as information on methods and equipment for qualitative and quantitative sampling. Appropriate quality-assurance and quality-control guidelines are used to maximize the ability to analyze data locally, regionally, and nationally.
Measuring the patient experience.
Lees, Carolyn
2011-01-01
This paper examines the complex issues of measuring the patient experience and evaluating the quality of health care. It discusses the use of surveys, patient stories and narrative methods of data collection in an attempt to define quality and how it should be measured. A recent Department of Health (DH) document insists that patients will be at the heart of decision making in the NHS by having greater control in informing strategic commissioning decisions (DH 2010c). The government aims to improve patient experience, enabling patients to rate services according to the quality of care they receive. This will be carried out using information generated by patients. This paper discusses the advantages and disadvantages of using surveys in gathering patient satisfaction data. It considers the value of surveys in measuring quality of care and appraises their usefulness in strengthening patients' collective voice. The paper investigates the use of another source of feedback - it examines the design of qualitative data collection methods as a means of gaining feedback from service users in encouraging providers of health care to be more responsive to their needs. Too often, patients are expected to fit the services, rather than services meeting the patients' needs. The most effective way of exploring and representing the patient's experience is by using a mixed-method approach. In other words, an integrated approach with the use of surveys and more narrative methods, such as patient stories, will effectively define quality and how it should be measured, ensuring that the focus is always on what matters most to patients.
Design and Testing of an Air Force Services Mystery Shopping Program.
1998-11-01
Base level Air Force Services’ lodging and foodservice activities use limited service quality measurement tools to determine customer perceptions of... service quality . These tools, specifically management observation and customer comment cards, do not provide a complete picture of service quality . Other... service quality measurement methods such as mystery shopping are rarely used. Bases do not consider using mystery shopping programs because of the
[Quality Indicators of Primary Health Care Facilities in Austria].
Semlitsch, Thomas; Abuzahra, Muna; Stigler, Florian; Jeitler, Klaus; Posch, Nicole; Siebenhofer, Andrea
2017-07-11
Background The strengthening of primary health care is one major goal of the current national health reform in Austria. In this context, a new interdisciplinary concept was developed in 2014 that defines structures and requirements for future primary health care facilities. Objective The aim of this project was the development of quality indicators for the evaluation of the scheduled primary health care facilities in Austria, which are in accordance with the new Austrian concept. Methods We used the RAND/NPCRDC method for the development and selection of the quality indicators. We conducted systematic literature searches for existing measures in international databases for quality indicators as well as in bibliographic databases. All retrieved measures were evaluated and rated by an expert panel in a 2-step process regarding relevance and feasibility. Results Overall, the literature searches yielded 281 potentially relevant quality indicators, which were summarized to 65 different quality measures for primary health care. Out of these, the panel rated and accepted 30 measures as relevant and feasible for use in Austria. Five of these indicators were structure measures, 14 were process measures and the remaining 11 were outcome measures. Based on the Austrian primary health care concept, the final set of quality indicators was grouped in the 5 following domains: Access to primary health care (5), quality of care (15), continuity of care (5), coordination of care (4), and safety (1). Conclusion This set of quality measures largely covers the four defined functions of primary health care. It enables standardized evaluation of primary health care facilities in Austria regarding the implementation of the Austrian primary health care concept as well as improvement in healthcare of the population. © Georg Thieme Verlag KG Stuttgart · New York.
Martínez, Yolanda V; Prado-Aguilar, Carlos A; Rascón-Pacheco, Ramón A; Valdivia-Martínez, José J
2008-01-01
Background Despite certain contradictions, an association has been identified between adherence to drug treatment and the quality of life in patients with type 2 diabetes. The contradictions observed emphasize the importance of using different methods to measure treatment adherence, or the association of psychological precursors of adherence with quality of life. For this reason, we have used an indirect method to measure adherence (pill count), as well as two adherence behaviour precursors (attitude and knowledge), to assess the association between adherence and the quality of life in type 2 diabetes patients. Methods A cross-sectional comparative study on a random sample of 238 type 2 diabetic patients was carried out over one year in four family medicine units of the Mexican Institute of Social Security (IMSS) in Aguascalientes, Mexico. Treatment adherence was measured using the indirect method of pill count to assess adherence behaviour, obtaining information at two home visits. In the first we recorded the medicine prescribed and in the second, we counted the medicine remaining to determine the proportion of the medicine taken. We also assessed two adherence behaviour precursors: the patients' knowledge regarding their medical prescription measured through a structured questionnaire; and attitudes to treatment adherence using a Likert scale. Quality of life was measured through the WHOQOL-100 (the WHO Quality of Life questionnaire). Information concerning both knowledge and attitude was obtained through interviews with the patients. A multiple linear regression model was constructed to establish the relationship between each quality of life domain and the variables related to adherence, controlling for covariates. Results There was no association between quality of life and treatment adherence behaviour. However, the combination of strong knowledge and a positive attitude was associated with five of the six quality of life domains. Conclusion The results suggest that it is important to explore psychological precursors of treatment adherence behaviour in type 2 diabetic patients. Indeed, we consider that it will be useful to carry out interventions that change negative attitudes towards treatment adherence and that promote medical prescription knowledge, which may help to improve the quality of life of such patients. PMID:18667076
An exploratory survey of methods used to develop measures of performance
NASA Astrophysics Data System (ADS)
Hamner, Kenneth L.; Lafleur, Charles A.
1993-09-01
Nonmanufacturing organizations are being challenged to provide high-quality products and services to their customers, with an emphasis on continuous process improvement. Measures of performance, referred to as metrics, can be used to foster process improvement. The application of performance measurement to nonmanufacturing processes can be very difficult. This research explored methods used to develop metrics in nonmanufacturing organizations. Several methods were formally defined in the literature, and the researchers used a two-step screening process to determine the OMB Generic Method was most likely to produce high-quality metrics. The OMB Generic Method was then used to develop metrics. A few other metric development methods were found in use at nonmanufacturing organizations. The researchers interviewed participants in metric development efforts to determine their satisfaction and to have them identify the strengths and weaknesses of, and recommended improvements to, the metric development methods used. Analysis of participants' responses allowed the researchers to identify the key components of a sound metrics development method. Those components were incorporated into a proposed metric development method that was based on the OMB Generic Method, and should be more likely to produce high-quality metrics that will result in continuous process improvement.
Reflexion on linear regression trip production modelling method for ensuring good model quality
NASA Astrophysics Data System (ADS)
Suprayitno, Hitapriya; Ratnasari, Vita
2017-11-01
Transport Modelling is important. For certain cases, the conventional model still has to be used, in which having a good trip production model is capital. A good model can only be obtained from a good sample. Two of the basic principles of a good sampling is having a sample capable to represent the population characteristics and capable to produce an acceptable error at a certain confidence level. It seems that this principle is not yet quite understood and used in trip production modeling. Therefore, investigating the Trip Production Modelling practice in Indonesia and try to formulate a better modeling method for ensuring the Model Quality is necessary. This research result is presented as follows. Statistics knows a method to calculate span of prediction value at a certain confidence level for linear regression, which is called Confidence Interval of Predicted Value. The common modeling practice uses R2 as the principal quality measure, the sampling practice varies and not always conform to the sampling principles. An experiment indicates that small sample is already capable to give excellent R2 value and sample composition can significantly change the model. Hence, good R2 value, in fact, does not always mean good model quality. These lead to three basic ideas for ensuring good model quality, i.e. reformulating quality measure, calculation procedure, and sampling method. A quality measure is defined as having a good R2 value and a good Confidence Interval of Predicted Value. Calculation procedure must incorporate statistical calculation method and appropriate statistical tests needed. A good sampling method must incorporate random well distributed stratified sampling with a certain minimum number of samples. These three ideas need to be more developed and tested.
Diagnostic articulation tables
NASA Astrophysics Data System (ADS)
Mikhailov, V. G.
2002-09-01
In recent years, considerable progress has been made in the development of instrumental methods for general speech quality and intelligibility evaluation on the basis of modeling the auditory perception of speech and measuring the signal-to-noise ratio. Despite certain advantages (fast measurement procedures with a low labor consumption), these methods are not universal and, in essence, secondary, because they rely on the calibration based on subjective-statistical measurements. At the same time, some specific problems of speech quality evaluation, such as the diagnostics of the factors responsible for the deviation of the speech quality from standard (e.g., accent features of a speaker or individual voice distortions), can be solved by psycholinguistic methods. This paper considers different kinds of diagnostic articulation tables: tables of minimal pairs of monosyllabic words (DRT) based on the Jacobson differential features, tables consisting of multisyllabic quartets of Russian words (the choice method), and tables of incomplete monosyllables of the _VC/CV_ type (the supplementary note method). Comparative estimates of the tables are presented along with the recommendations concerning their application.
Category 1 external quality assessment program for serum creatinine.
González-Lao, Elisabet; Díaz-Garzón, Jorge; Corte, Zoraida; Ricós, Carmen; Perich, Carmen; Álvarez, Virtudes; Simón, Margarita; Minchinela, Joana; García-Lario, José Vicente; Boned, Beatriz; Biosca, Carmen; Cava, Fernando; Fernández-Fernández, Pilar; Fernández-Calle, Pilar
2017-03-01
The Commission of Analytical Quality and the Committee of External Quality Programs of Spanish Society of Laboratory Medicine (SEQC) in collaboration with the Dutch Foundation for the Quality organized the first national category 1 External Quality Assessment Programs (EQAP) pilot study. The aim is to evaluate the standardization of serum creatinine measurements in the Spanish laboratories through a category 1 external quality assurance program with commutable material and reference method assigned values. A total of 87 Spanish laboratories were involved in this program in 2015. Each day a sample control was measured by duplicate during 6 consecutive days. Percentage deviations and coefficients of variation obtained were compared with quality specifications derived from biological variation. A total of 1044 creatinine results were obtained. Laboratories were coded in 11 different method-traceability combinations. Only enzymatic methods get all results within the acceptability limits. To participate in a category 1 EQAP is a valuable tool to assess the standardization degree in our country; a big effort should be made to promote laboratories to change their procedures and to use enzymatic creatinine methods, in order to achieve a satisfactory standardization degree for this important analyte.
Clark, W Randy; Clark, Leigh Anne
2007-01-01
Although there is a growing concern about health care quality, little research has focused on how to measure quality in long-term care settings. In this article, we make the following observations: (1) most users of the SERVQUAL instrument reassess customers' expectations each time they measure quality perceptions; (2) long-term care relationships are likely to be ongoing, dependent relationships; (3) because of this dependence, customers in the long-term care setting are likely to reduce their expectations when faced with poor service quality; (4) by using this "settled" expectations level, service providers may make biased conclusions of quality improvements. We recommend various methods for overcoming or minimizing this "settling" effect and propose modifications to the SERVQUAL gap 5 measure to assess quality in a long-term care setting.
Nuckols, Teryl; Harber, Philip; Sandin, Karl; Benner, Douglas; Weng, Haoling; Shaw, Rebecca; Griffin, Anne; Asch, Steven
2011-03-01
Providing higher quality medical care to workers with occupationally associated carpal tunnel syndrome (CTS) may reduce disability, facilitate return to work, and lower the associated costs. Although many workers' compensation systems have adopted treatment guidelines to reduce the overuse of unnecessary care, limited attention has been paid to ensuring that the care workers do receive is high quality. Further, guidelines are not designed to enable objective assessments of quality of care. This study sought to develop quality measures for the diagnostic evaluation and non-operative management of CTS, including managing occupational activities and functional limitations. Using a variation of the well-established RAND/UCLA Appropriateness Method, we developed draft quality measures using guidelines and literature reviews. Next, in a two-round modified-Delphi process, a multidisciplinary panel of 11 U.S. experts in CTS rated the measures on validity and feasibility. Of 40 draft measures, experts rated 31 (78%) valid and feasible. Nine measures pertained to diagnostic evaluation, such as assessing symptoms, signs, and risk factors. Eleven pertain to non-operative treatments, such as the use of splints, steroid injections, and medications. Eleven others address assessing the association between symptoms and work, managing occupational activities, and accommodating functional limitations. These measures will complement existing treatment guidelines by enabling providers, payers, policymakers, and researchers to assess quality of care for CTS in an objective, structured manner. Given the characteristics of previous measures developed with these methods, greater adherence to these measures will probably lead to improved patient outcomes at a population level.
Design and Testing of a Tool for Evaluating the Quality of Diabetes Consumer-Information Web Sites
Steinwachs, Donald; Rubin, Haya R
2003-01-01
Background Most existing tools for measuring the quality of Internet health information focus almost exclusively on structural criteria or other proxies for quality information rather than evaluating actual accuracy and comprehensiveness. Objective This research sought to develop a new performance-measurement tool for evaluating the quality of Internet health information, test the validity and reliability of the tool, and assess the variability in diabetes Web site quality. Methods An objective, systematic tool was developed to evaluate Internet diabetes information based on a quality-of-care measurement framework. The principal investigator developed an abstraction tool and trained an external reviewer on its use. The tool included 7 structural measures and 34 performance measures created by using evidence-based practice guidelines and experts' judgments of accuracy and comprehensiveness. Results Substantial variation existed in all categories, with overall scores following a normal distribution and ranging from 15% to 95% (mean was 50% and median was 51%). Lin's concordance correlation coefficient to assess agreement between raters produced a rho of 0.761 (Pearson's r of 0.769), suggesting moderate to high agreement. The average agreement between raters for the performance measures was 0.80. Conclusions Diabetes Web site quality varies widely. Alpha testing of this new tool suggests that it could become a reliable and valid method for evaluating the quality of Internet health sites. Such an instrument could help lay people distinguish between beneficial and misleading information. PMID:14713658
DSPI technique for nanometer vibration mode measurement
NASA Astrophysics Data System (ADS)
Yue, Kaiduan; Jia, Shuhai; Tan, Yushan
2000-05-01
A time-average DSPI method for nanometer vibration mode measurement is presented in this paper. The phase continuous scan technique is combined with the Bessel fringe-shifting technique to quantitatively analyze the vibration mode by time-average DSPI is used in measurement system. Through the phase continuous scan, the background and speckle items are completely eliminated, which improves the fringe quality and enhances the signal-to-noise ratio of interferogram. There is no need to calibrate the optical phase-shifter exactly in this method. The anti-disturbance capability of this method is higher than that of the phase-stepping technique, so it is robust and easy to be used. In the vibration measurement system, the speckle average technology is used, so the high quality measuring results are obtained.
Apparatus and method for acoustic monitoring of steam quality and flow
Sinha, Dipen N.; Pantea, Cristian
2016-09-13
An apparatus and method for noninvasively monitoring steam quality and flow and in pipes or conduits bearing flowing steam, are described. By measuring the acoustic vibrations generated in steam-carrying conduits by the flowing steam either by direct contact with the pipe or remotely thereto, converting the measured acoustic vibrations into a frequency spectrum characteristic of the natural resonance vibrations of the pipe, and monitoring the amplitude and/or the frequency of one or more chosen resonance frequencies, changes in the steam quality in the pipe are determined. The steam flow rate and the steam quality are inversely related, and changes in the steam flow rate are calculated from changes in the steam quality once suitable calibration curves are obtained.
Influence of preconsolidation on consolidation quality after stamp forming of C/PEEK composites
NASA Astrophysics Data System (ADS)
Slange, T. K.; Warnet, L.; Grouve, W. J. B.; Akkerman, R.
2016-10-01
Stamp forming is a rapid manufacturing technology used to shape flat blanks of thermoplastic composite material into three-dimensional components. Currently, expensive autoclave and press consolidation are used to preconsolidate blanks. This study investigates the influence of preconsolidation on final consolidation quality after stamp forming and explores the potential of alternative blank manufacturing methods that could reduce part costs. Blanks were manufactured using various blank manufacturing methods and subsequently were stamp formed. The consolidation quality both before and after stamp forming was compared, where the focus was on void content as the main measure for consolidation quality. The void content was characterized through thickness and density measurements, as well as by microscopy analysis. Results indicate that preconsolidation quality does have an influence on the final consolidation quality. This is due to the severe deconsolidation and limited reconsolidation during stamp forming. Nevertheless, the potential of automated fiber placement and ultrasonic spot welding as alternative blank manufacturing methods was demonstrated.
The BEACH Act of 2000 directed the U.S. EPA to establish more expeditious methods for the detection of pathogen indicators in coastal waters, as well as new water quality criteria based on these methods. Progress has been made in developing a quantitative PCR (qPCR) method for en...
The effects of hospital competition on inpatient quality of care.
Mutter, Ryan L; Wong, Herbert S; Goldfarb, Marsha G
2008-01-01
Existing empirical studies have produced inconclusive, and sometimes contradictory, findings on the effects of hospital competition on inpatient quality of care. These inconsistencies may be due to the use of different methodologies, hospital competition measures, and hospital quality measures. This paper applies the Quality Indicator software from the Agency for Healthcare Research and Quality to the 1997 Healthcare Cost and Utilization Project State Inpatient Databases to create three versions (i.e., observed, risk-adjusted, and "smoothed") of 38 distinct measures of inpatient quality. The relationship between 12 different hospital competition measures and these quality measures are assessed, using ordinary least squares, two-step efficient generalized method of moments, and negative binomial regression techniques. We find that across estimation strategies, hospital competition has an impact on a number of hospital quality measures. However, the effect is not unidirectional: some indicators show improvements in hospital quality with greater levels of competition, some show decreases in hospital quality, and others are unaffected. We provide hypotheses based on emerging areas of research that could explain these findings, but inconsistencies remain.
2010-01-01
Background The measurement of healthcare provider performance is becoming more widespread. Physicians have been guarded about performance measurement, in part because the methodology for comparative measurement of care quality is underdeveloped. Comprehensive quality improvement will require comprehensive measurement, implying the aggregation of multiple quality metrics into composite indicators. Objective To present a conceptual framework to develop comprehensive, robust, and transparent composite indicators of pediatric care quality, and to highlight aspects specific to quality measurement in children. Methods We reviewed the scientific literature on composite indicator development, health systems, and quality measurement in the pediatric healthcare setting. Frameworks were selected for explicitness and applicability to a hospital-based measurement system. Results We synthesized various frameworks into a comprehensive model for the development of composite indicators of quality of care. Among its key premises, the model proposes identifying structural, process, and outcome metrics for each of the Institute of Medicine's six domains of quality (safety, effectiveness, efficiency, patient-centeredness, timeliness, and equity) and presents a step-by-step framework for embedding the quality of care measurement model into composite indicator development. Conclusions The framework presented offers researchers an explicit path to composite indicator development. Without a scientifically robust and comprehensive approach to measurement of the quality of healthcare, performance measurement will ultimately fail to achieve its quality improvement goals. PMID:20181129
[Seed quality test methods of Paeonia suffruticosa].
Cao, Ya-Yue; Zhu, Zai-Biao; Guo, Qiao-Sheng; Liu, Li; Wang, Chang-Lin
2014-11-01
In order to optimize the testing methods for Paeonia suffruticosa seed quality, and provide basis for establishing seed testing rules and seed quality standard of P. suffruticosa. The seed quality of P. suffruticosa from different producing areas was measured based on the related seed testing regulations. The seed testing methods for quality items of P. suffruticosa was established preliminarily. The samples weight of P. suffruticosa was at least 7 000 g for purity analysis and was at least 700 g for test. The phenotypic observation and size measurement were used for authenticity testing. The 1 000-seed weight was determined by 100-seed method, and the water content was carried out by low temperature drying method (10 hours). After soaking in distilled water for 24 h, the seeds was treated with different temperature stratifications of day and night (25 degrees C/20 degrees C, day/night) in the dark for 60 d. After soaking in the liquor of GA3 300 mg x L(-1) for 24 h, the P. suffruticos seeds were cultured in wet sand at 15 degrees C for 12-60 days for germination testing. Seed viability was tested by TlC method.
Controlling coarse woody debris inventory quality: taper and relative size methods
C.W. Woodall; J.A. Westfall
2008-01-01
Accurately measuring the dimensions of coarse woody debris (CWD) is critical for ensuring the quality of CWD estimates and, hence, for accurately estimating forest ecosystem attributes (e.g., CWD carbon stocks). To improve the quality of CWD dimensional measurements, the distribution of taper (ratio of change in diameter and length) and relative size (RS; ratio of...
Yu, Yang; Zhang, Fan; Gao, Ming-Xin; Li, Hai-Tao; Li, Jing-Xing; Song, Wei; Huang, Xin-Sheng; Gu, Cheng-Xiong
2013-01-01
OBJECTIVES Intraoperative transit time flow measurement (TTFM) is widely used to assess anastomotic quality in coronary artery bypass grafting (CABG). However, in sequential vein grafting, the flow characteristics collected by the conventional TTFM method are usually associated with total graft flow and might not accurately indicate the quality of every distal anastomosis in a sequential graft. The purpose of our study was to examine a new TTFM method that could assess the quality of each distal anastomosis in a sequential graft more reliably than the conventional TTFM approach. METHODS Two TTFM methods were tested in 84 patients who underwent sequential saphenous off-pump CABG in Beijing An Zhen Hospital between April and August 2012. In the conventional TTFM method, normal blood flow in the sequential graft was maintained during the measurement, and the flow probe was placed a few centimetres above the anastomosis to be evaluated. In the new method, blood flow in the sequential graft was temporarily reduced during the measurement by placing an atraumatic bulldog clamp at the graft a few centimetres distal to the anastomosis to be evaluated, while the position of the flow probe remained the same as in the conventional method. This new TTFM method was named the flow reduction TTFM. Graft flow parameters measured by both methods were compared. RESULTS Compared with the conventional TTFM, the flow reduction TTFM resulted in significantly lower mean graft blood flow (P < 0.05); in contrast, yielded significantly higher pulsatility index (P < 0.05). Diastolic filling was not significantly different between the two methods and was >50% in both cases. Interestingly, the flow reduction TTFM identified two defective middle distal anastomoses that the conventional TTFM failed to detect. Graft flows near the defective distal anastomoses were improved substantially after revision. CONCLUSIONS In this study, we found that temporary reduction of graft flow during TTFM seemed to enhance the sensitivity of TTFM to less-than-critical anastomotic defects in a sequential graft and to improve the overall accuracy of the intraoperative assessment of anastomotic quality in sequential vein grafting. PMID:24000314
A laboratory-scale experimental program was designed to standardize each of four black carbon measurement methods, provide appropriate quality assurance/control procedures for these techniques, and compare measurements made by these methods to a NIST traceable standard (filter gr...
Information retrieval based on single-pixel optical imaging with quick-response code
NASA Astrophysics Data System (ADS)
Xiao, Yin; Chen, Wen
2018-04-01
Quick-response (QR) code technique is combined with ghost imaging (GI) to recover original information with high quality. An image is first transformed into a QR code. Then the QR code is treated as an input image in the input plane of a ghost imaging setup. After measurements, traditional correlation algorithm of ghost imaging is utilized to reconstruct an image (QR code form) with low quality. With this low-quality image as an initial guess, a Gerchberg-Saxton-like algorithm is used to improve its contrast, which is actually a post processing. Taking advantage of high error correction capability of QR code, original information can be recovered with high quality. Compared to the previous method, our method can obtain a high-quality image with comparatively fewer measurements, which means that the time-consuming postprocessing procedure can be avoided to some extent. In addition, for conventional ghost imaging, the larger the image size is, the more measurements are needed. However, for our method, images with different sizes can be converted into QR code with the same small size by using a QR generator. Hence, for the larger-size images, the time required to recover original information with high quality will be dramatically reduced. Our method makes it easy to recover a color image in a ghost imaging setup, because it is not necessary to divide the color image into three channels and respectively recover them.
Gray, Allan; Wright, Alex; Jackson, Pete; Hale, Mike; Treanor, Darren
2015-03-01
Histochemical staining of tissue is a fundamental technique in tissue diagnosis and research, but it suffers from significant variability. Efforts to address this include laboratory quality controls and quality assurance schemes, but these rely on subjective interpretation of stain quality, are laborious and have low reproducibility. We aimed (1) to develop a method for histochemical stain quantification using whole slide imaging and image analysis and (2) to demonstrate its usefulness in measuring staining variation. A method to quantify the individual stain components of histochemical stains on virtual slides was developed. It was evaluated for repeatability and reproducibility, then applied to control sections of an appendix to quantify H&E staining (H/E intensities and H:E ratio) between automated staining machines and to measure differences between six regional diagnostic laboratories. The method was validated with <0.5% variation in H:E ratio measurement when using the same scanner for a batch of slides (ie, it was repeatable) but was not highly reproducible between scanners or over time, where variation of 7% was found. Application of the method showed H:E ratios between three staining machines varied from 0.69 to 0.93, H:E ratio variation over time was observed. Interlaboratory comparison demonstrated differences in H:E ratio between regional laboratories from 0.57 to 0.89. A simple method using whole slide imaging can be used to quantify and compare histochemical staining. This method could be deployed in routine quality assurance and quality control. Work is needed on whole slide imaging devices to improve reproducibility. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
Microsiemens or Milligrams: Measures of Ionic Mixtures ...
In December of 2016, EPA released the Draft Field-Based Methods for Developing Aquatic Life Criteria for Specific Conductivity for public comment. Once final, states and authorized tribes may use these methods to derive field-based ecoregional ambient Aquatic Life Ambient Water Quality Criteria (AWQC) for specific conductivity (SC) in flowing waters. The methods provide flexible approaches for developing science-based SC criteria that reflect ecoregional or state specific factors. The concentration of a dissolved salt mixture can be measured in a number of ways including measurement of total dissolved solids, freezing point depression, refractive index, density, or the sum of the concentrations of individually measured ions. For the draft method, SC was selected as the measure because SC is a measure of all ions in the mixture; the measurement technology is fast, inexpensive, and accurate, and it measures only dissolved ions. When developing water quality criteria for major ions, some stakeholders may prefer to identify the ionic constituents as a measure of exposure instead of SC. A field-based method was used to derive example chronic and acute water quality criteria for SC and two anions a common mixture of ions (bicarbonate plus sulfate, [HCO3−] + [SO42−] in mg/L) that represent common mixtures in streams. These two anions are sufficient to model the ion mixture and SC (R2 = 0.94). Using [HCO3−] + [SO42−] does not imply that these two anions are the
Fontes, Tânia; Li, Peilin; Barros, Nelson; Zhao, Pengjun
2018-08-01
Air quality traffic-related measures have been implemented worldwide to control the pollution levels of urban areas. Although some of those measures are claiming environmental improvements, few studies have checked their real impact. In fact, quantitative estimates are often focused on reducing emissions, rather than on evaluating the actual measures' effect on air quality. Even when air quality studies are conducted, results are frequently unclear. In order to properly assess the real impact on air quality of traffic-related measures, a statistical method is proposed. The method compares the pollutant concentration levels observed after the implementation of a measure with the concentration values of the previous year. Short- and long-term impact is assessed considering not only their influence on the average pollutant concentration, but also on its maximum level. To control the effect of the main confounding factors, only the days with similar environmental conditions are analysed. The changeability of the key meteorological variables that affect the transport and dispersion of the pollutant studied are used to identify and group the days categorized as similar. Resemblance of the pollutants' concentration of the previous day is also taken into account. The impact of the road traffic measures on the air pollutants' concentration is then checked for those similar days using specific statistical functions. To evaluate the proposed method, the impact on PM 2.5 concentrations of two air quality traffic-related measures (M1 and M2) implemented in the city of Beijing are taken into consideration: M1 was implemented in 2009, restricting the circulation of yellow-labelled vehicles, while M2 was implemented in 2014, restricting the circulation of heavy-duty vehicles. To compare the results of each measure, a time-period when these measures were not applied is used as case-control. Copyright © 2018 Elsevier Ltd. All rights reserved.
NASA Astrophysics Data System (ADS)
Zhang, Qian; Feng, Minquan; Hao, Xiaoyan
2018-03-01
[Objective] Based on the water quality historical data from the Zhangze Reservoir from the last five years, the water quality was assessed by the integrated water quality identification index method and the Nemerow pollution index method. The results of different evaluation methods were analyzed and compared and the characteristics of each method were identified.[Methods] The suitability of the water quality assessment methods were compared and analyzed, based on these results.[Results] the water quality tended to decrease over time with 2016 being the year with the worst water quality. The sections with the worst water quality were the southern and northern sections.[Conclusion] The results produced by the traditional Nemerow index method fluctuated greatly in each section of water quality monitoring and therefore could not effectively reveal the trend of water quality at each section. The combination of qualitative and quantitative measures of the comprehensive pollution index identification method meant it could evaluate the degree of water pollution as well as determine that the river water was black and odorous. However, the evaluation results showed that the water pollution was relatively low.The results from the improved Nemerow index evaluation were better as the single indicators and evaluation results are in strong agreement; therefore the method is able to objectively reflect the water quality of each water quality monitoring section and is more suitable for the water quality evaluation of the reservoir.
[Testing methods for seed quality of Bletilla striata].
Zhang, Zhi-Hui; Liu, Da-Hui; Zhu, Xin-Yan; Ji, Peng-Zhang; Wang, Li; Shi, Ya-Na; Ma, Cong-Ji
2016-06-01
In order to provide a basis for establishing seed testing rules and seed quality standard of Bletilla striata, the seed quality of B.striata from different producing area was measured referring to the Rules for Agricultural Seed Testing(GB/T 3543-1995).The results showed that the seeds of B.striata passed through 20-mesh sieve for purity analysis.The weight of seeds was measured by 1000-seed method and the water content was measured at the higher temperature (133±2) ℃ for 3 hours.The seeds were cultured on the wet filter paper at 30 ℃ for 4-20 days in light for germination testing.The method of testing seed viability was that seeds were dipped into 1% TTC solution for 7 hours at temperature of 40 ℃. Copyright© by the Chinese Pharmaceutical Association.
NASA Astrophysics Data System (ADS)
Radis, M.; Iacomussi, P.; Aghemo, C.; Rossi, G.
2017-07-01
Interdependence between color and gloss is a concept well-known by artists, especially by old masters, but is not usually considered in material characterization. Indeed, measurement methods and definitions consider these two attributes individually. This research investigates how the available measurement methods for gloss and color (saturation) fit with corresponding perceptual qualities, glossiness and saturation. The definitions of both measured quantities, as well the measurement methodologies, were developed for reference materials (ceramic tiles for color and dark glass specimen for gloss) not representative of artwork materials and do not consider observation conditions similar with those adopted during exhibitions. The prediction of material appearance is recognized as one of the most important challenges in applied metrology, because appearance is the key to achieve effective exhibitions and consumers choices. The results of this study highlight that the two perceived qualities are mutually related, as well the measured quantities: gloss and saturation mutually interfere and the measurement methods and quantities are not uniform with the perceived qualities and the colorimetric coordinate C* no longer describes the perceived saturation.
Measuring Up: Implementing a Dental Quality Measure in the Electronic Health Record Context
Bhardwaj, Aarti; Ramoni, Rachel; Kalenderian, Elsbeth; Neumann, Ana; Hebballi, Nutan B; White, Joel M; McClellan, Lyle; Walji, Muhammad F
2015-01-01
Background Quality improvement requires quality measures that are validly implementable. In this work, we assessed the feasibility and performance of an automated electronic Meaningful Use dental clinical quality measure (percentage of children who received fluoride varnish). Methods We defined how to implement the automated measure queries in a dental electronic health record (EHR). Within records identified through automated query, we manually reviewed a subsample to assess the performance of the query. Results The automated query found 71.0% of patients to have had fluoride varnish compared to 77.6% found using the manual chart review. The automated quality measure performance was 90.5% sensitivity, 90.8% specificity, 96.9% positive predictive value, and 75.2% negative predictive value. Conclusions Our findings support the feasibility of automated dental quality measure queries in the context of sufficient structured data. Information noted only in the free text rather than in structured data would require natural language processing approaches to effectively query. Practical Implications To participate in self-directed quality improvement, dental clinicians must embrace the accountability era. Commitment to quality will require enhanced documentation in order to support near-term automated calculation of quality measures. PMID:26562736
Quality Measures for the Care of Patients with Insomnia
Edinger, Jack D.; Buysse, Daniel J.; Deriy, Ludmila; Germain, Anne; Lewin, Daniel S.; Ong, Jason C.; Morgenthaler, Timothy I.
2015-01-01
The American Academy of Sleep Medicine (AASM) commissioned five Workgroups to develop quality measures to optimize management and care for patients with common sleep disorders including insomnia. Following the AASM process for quality measure development, this document describes measurement methods for two desirable outcomes of therapy, improving sleep quality or satisfaction, and improving daytime function, and for four processes important to achieving these goals. To achieve the outcome of improving sleep quality or satisfaction, pre- and post-treatment assessment of sleep quality or satisfaction and providing an evidence-based treatment are recommended. To realize the outcome of improving daytime functioning, pre- and post-treatment assessment of daytime functioning, provision of an evidence-based treatment, and assessment of treatment-related side effects are recommended. All insomnia measures described in this report were developed by the Insomnia Quality Measures Workgroup and approved by the AASM Quality Measures Task Force and the AASM Board of Directors. The AASM recommends the use of these measures as part of quality improvement programs that will enhance the ability to improve care for patients with insomnia. Citation: Edinger JD, Buysse DJ, Deriy L, Germain A, Lewin DS, Ong JC, Morgenthaler TI. Quality measures for the care of patients with insomnia. J Clin Sleep Med 2015;11(3):311–334. PMID:25700881
ERIC Educational Resources Information Center
Edwards, Mark Evan; Weber, Bruce; Bernell, Stephanie
2007-01-01
An existing measure of food insecurity with hunger in the United States may serve as an effective indicator of quality of life. State level differences in that measure can reveal important differences in quality of life across places. In this study, we advocate and demonstrate two simple methods by which analysts can explore state-specific…
Liu, Yanchi; Wang, Xue; Liu, Youda; Cui, Sujin
2016-06-27
Power quality analysis issues, especially the measurement of harmonic and interharmonic in cyber-physical energy systems, are addressed in this paper. As new situations are introduced to the power system, the impact of electric vehicles, distributed generation and renewable energy has introduced extra demands to distributed sensors, waveform-level information and power quality data analytics. Harmonics and interharmonics, as the most significant disturbances, require carefully designed detection methods for an accurate measurement of electric loads whose information is crucial to subsequent analyzing and control. This paper gives a detailed description of the power quality analysis framework in networked environment and presents a fast and resolution-enhanced method for harmonic and interharmonic measurement. The proposed method first extracts harmonic and interharmonic components efficiently using the single-channel version of Robust Independent Component Analysis (RobustICA), then estimates the high-resolution frequency from three discrete Fourier transform (DFT) samples with little additional computation, and finally computes the amplitudes and phases with the adaptive linear neuron network. The experiments show that the proposed method is time-efficient and leads to a better accuracy of the simulated and experimental signals in the presence of noise and fundamental frequency deviation, thus providing a deeper insight into the (inter)harmonic sources or even the whole system.
Liu, Yanchi; Wang, Xue; Liu, Youda; Cui, Sujin
2016-01-01
Power quality analysis issues, especially the measurement of harmonic and interharmonic in cyber-physical energy systems, are addressed in this paper. As new situations are introduced to the power system, the impact of electric vehicles, distributed generation and renewable energy has introduced extra demands to distributed sensors, waveform-level information and power quality data analytics. Harmonics and interharmonics, as the most significant disturbances, require carefully designed detection methods for an accurate measurement of electric loads whose information is crucial to subsequent analyzing and control. This paper gives a detailed description of the power quality analysis framework in networked environment and presents a fast and resolution-enhanced method for harmonic and interharmonic measurement. The proposed method first extracts harmonic and interharmonic components efficiently using the single-channel version of Robust Independent Component Analysis (RobustICA), then estimates the high-resolution frequency from three discrete Fourier transform (DFT) samples with little additional computation, and finally computes the amplitudes and phases with the adaptive linear neuron network. The experiments show that the proposed method is time-efficient and leads to a better accuracy of the simulated and experimental signals in the presence of noise and fundamental frequency deviation, thus providing a deeper insight into the (inter)harmonic sources or even the whole system. PMID:27355946
The production and quality of tomato concentrates.
Hayes, W A; Smith, P G; Morris, A E
1998-10-01
The standards and specifications for the quality and composition of tomato concentrates are reviewed. The main quality parameters of tomato puree and paste are color, consistency and flavor. Overall, there is an absence of standardization of methods and instruments to define quality. While color can now be measured objectively, there are currently no standard color requirements for tomato concentrates. Rheological measurements on both tomato juice and concentrates are reviewed; the power law finds wide applicability, although other rheological characteristics, particularly time dependency, have received far less attention and there has been little effort to relate rheological understanding to the commonly used empirical tests such as consistency measurements. The volatiles responsible for flavor and odor have been identified to the point where the natural odor of tomato paste can be imitated. Attempts to develop objective methods as a substitute for sensory assessment are reviewed.
Federal Register 2010, 2011, 2012, 2013, 2014
2012-10-05
... Methods: Designation of Three New Equivalent Methods AGENCY: Environmental Protection Agency. ACTION: Notice of the designation of three new equivalent methods for monitoring ambient air quality. SUMMARY... equivalent methods, one for measuring concentrations of PM 2.5 , one for measuring concentrations of PM 10...
A systematic review of health care efficiency measures.
Hussey, Peter S; de Vries, Han; Romley, John; Wang, Margaret C; Chen, Susan S; Shekelle, Paul G; McGlynn, Elizabeth A
2009-06-01
To review and characterize existing health care efficiency measures in order to facilitate a common understanding about the adequacy of these methods. Review of the MedLine and EconLit databases for articles published from 1990 to 2008, as well as search of the "gray" literature for additional measures developed by private organizations. We performed a systematic review for existing efficiency measures. We classified the efficiency measures by perspective, outputs, inputs, methods used, and reporting of scientific soundness. We identified 265 measures in the peer-reviewed literature and eight measures in the gray literature, with little overlap between the two sets of measures. Almost all of the measures did not explicitly consider the quality of care. Thus, if quality varies substantially across groups, which is likely in some cases, the measures reflect only the costs of care, not efficiency. Evidence on the measures' scientific soundness was mostly lacking: evidence on reliability or validity was reported for six measures (2.3 percent) and sensitivity analyses were reported for 67 measures (25.3 percent). Efficiency measures have been subjected to few rigorous evaluations of reliability and validity, and methods of accounting for quality of care in efficiency measurement are not well developed at this time. Use of these measures without greater understanding of these issues is likely to engender resistance from providers and could lead to unintended consequences.
[Quality assessment in anesthesia].
Kupperwasser, B
1996-01-01
Quality assessment (assurance/improvement) is the set of methods used to measure and improve the delivered care and the department's performance against pre-established criteria or standards. The four stages of the self-maintained quality assessment cycle are: problem identification, problem analysis, problem correction and evaluation of corrective actions. Quality assessment is a measurable entity for which it is necessary to define and calibrate measurement parameters (indicators) from available data gathered from the hospital anaesthesia environment. Problem identification comes from the accumulation of indicators. There are four types of quality indicators: structure, process, outcome and sentinel indicators. The latter signal a quality defect, are independent of outcomes, are easier to analyse by statistical methods and closely related to processes and main targets of quality improvement. The three types of methods to analyse the problems (indicators) are: peer review, quantitative methods and risks management techniques. Peer review is performed by qualified anaesthesiologists. To improve its validity, the review process should be explicited and conclusions based on standards of practice and literature references. The quantitative methods are statistical analyses applied to the collected data and presented in a graphic format (histogram, Pareto diagram, control charts). The risks management techniques include: a) critical incident analysis establishing an objective relationship between a 'critical' event and the associated human behaviours; b) system accident analysis, based on the fact that accidents continue to occur despite safety systems and sophisticated technologies, checks of all the process components leading to the impredictable outcome and not just the human factors; c) cause-effect diagrams facilitate the problem analysis in reducing its causes to four fundamental components (persons, regulations, equipment, process). Definition and implementation of corrective measures, based on the findings of the two previous stages, are the third step of the evaluation cycle. The Hawthorne effect is an outcome improvement, before the implementation of any corrective actions. Verification of the implemented actions is the final and mandatory step closing the evaluation cycle.
The quality of instruments to assess the process of shared decision making: A systematic review
Bomhof-Roordink, Hanna; Smith, Ian P.; Scholl, Isabelle; Stiggelbout, Anne M.; Pieterse, Arwen H.
2018-01-01
Objective To inventory instruments assessing the process of shared decision making and appraise their measurement quality, taking into account the methodological quality of their validation studies. Methods In a systematic review we searched seven databases (PubMed, Embase, Emcare, Cochrane, PsycINFO, Web of Science, Academic Search Premier) for studies investigating instruments measuring the process of shared decision making. Per identified instrument, we assessed the level of evidence separately for 10 measurement properties following a three-step procedure: 1) appraisal of the methodological quality using the COnsensus-based Standards for the selection of health status Measurement INstruments (COSMIN) checklist, 2) appraisal of the psychometric quality of the measurement property using three possible quality scores, 3) best-evidence synthesis based on the number of studies, their methodological and psychometrical quality, and the direction and consistency of the results. The study protocol was registered at PROSPERO: CRD42015023397. Results We included 51 articles describing the development and/or evaluation of 40 shared decision-making process instruments: 16 patient questionnaires, 4 provider questionnaires, 18 coding schemes and 2 instruments measuring multiple perspectives. There is an overall lack of evidence for their measurement quality, either because validation is missing or methods are poor. The best-evidence synthesis indicated positive results for a major part of instruments for content validity (50%) and structural validity (53%) if these were evaluated, but negative results for a major part of instruments when inter-rater reliability (47%) and hypotheses testing (59%) were evaluated. Conclusions Due to the lack of evidence on measurement quality, the choice for the most appropriate instrument can best be based on the instrument’s content and characteristics such as the perspective that they assess. We recommend refinement and validation of existing instruments, and the use of COSMIN-guidelines to help guarantee high-quality evaluations. PMID:29447193
Curtis, J. Randall; Tulsky, James A.
2018-01-01
Abstract Background: High-quality care for seriously ill patients aligns treatment with their goals and values. Failure to achieve “goal-concordant” care is a medical error that can harm patients and families. Because communication between clinicians and patients enables goal concordance and also affects the illness experience in its own right, healthcare systems should endeavor to measure communication and its outcomes as a quality assessment. Yet, little consensus exists on what should be measured and by which methods. Objectives: To propose measurement priorities for serious illness communication and its anticipated outcomes, including goal-concordant care. Methods: We completed a narrative review of the literature to identify links between serious illness communication, goal-concordant care, and other outcomes. We used this review to identify gaps and opportunities for quality measurement in serious illness communication. Results: Our conceptual model describes the relationship between communication, goal-concordant care, and other relevant outcomes. Implementation-ready measures to assess the quality of serious illness communication and care include (1) the timing and setting of serious illness communication, (2) patient experience of communication and care, and (3) caregiver bereavement surveys that include assessment of perceived goal concordance of care. Future measurement priorities include direct assessment of communication quality, prospective patient or family assessment of care concordance with goals, and assessment of the bereaved caregiver experience. Conclusion: Improving serious illness care necessitates ensuring that high-quality communication has occurred and measuring its impact. Measuring patient experience and receipt of goal-concordant care should be our highest priority. We have the tools to measure both. PMID:29091522
Adopting software quality measures for healthcare processes.
Yildiz, Ozkan; Demirörs, Onur
2009-01-01
In this study, we investigated the adoptability of software quality measures for healthcare process measurement. Quality measures of ISO/IEC 9126 are redefined from a process perspective to build a generic healthcare process quality measurement model. Case study research method is used, and the model is applied to a public hospital's Entry to Care process. After the application, weak and strong aspects of the process can be easily observed. Access audibility, fault removal, completeness of documentation, and machine utilization are weak aspects and these aspects are the candidates for process improvement. On the other hand, functional completeness, fault ratio, input validity checking, response time, and throughput time are the strong aspects of the process.
An ultrasonic system for determining papaya physiological properties
NASA Astrophysics Data System (ADS)
Ibrahim, Sallehuddin; Ramli, Azlin; Yunus, Mohd Amri Md
2015-05-01
There is an increasing need for high quality fruit. As such it is important to have a fast, accurate and reliable method for measuring and monitoring the quality of fruit from the field to the consumer. This paper presents an investigation on the use of a non-destructive ultrasonic system which can be used to measure the quality of papaya.
Simple, Low-Cost Data Collection Methods for Agricultural Field Studies.
ERIC Educational Resources Information Center
Koenig, Richard T.; Winger, Marlon; Kitchen, Boyd
2000-01-01
Summarizes relatively simple and inexpensive methods for collecting data from agricultural field studies. Describes methods involving on-farm testing, crop yield measurement, quality evaluations, weed control effectiveness, plant nutrient status, and other measures. Contains 29 references illustrating how these methods were used to conduct…
A Performance Improvement Method for Low-Cost Land Vehicle GPS/MEMS-INS Attitude Determination
Cong, Li; Li, Ercui; Qin, Honglei; Ling, Keck Voon; Xue, Rui
2015-01-01
Global positioning system (GPS) technology is well suited for attitude determination. However, in land vehicle application, low-cost single frequency GPS receivers which have low measurement quality are often used, and external factors such as multipath and low satellite visibility in the densely built-up urban environment further degrade the quality of the GPS measurements. Due to the low-quality receivers used and the challenging urban environment, the success rate of the single epoch ambiguity resolution for dynamic attitude determination is usually quite low. In this paper, a micro-electro-mechanical system (MEMS)—inertial navigation system (INS)-aided ambiguity resolution method is proposed to improve the GPS attitude determination performance, which is particularly suitable for land vehicle attitude determination. First, the INS calculated baseline vector is augmented with the GPS carrier phase and code measurements. This improves the ambiguity dilution of precision (ADOP), resulting in better quality of the unconstrained float solution. Second, the undesirable float solutions caused by large measurement errors are further filtered and replaced using the INS-aided ambiguity function method (AFM). The fixed solutions are then obtained by the constrained least squares ambiguity decorrelation (CLAMBDA) algorithm. Finally, the GPS/MEMS-INS integration is realized by the use of a Kalman filter. Theoretical analysis of the ADOP is given and experimental results demonstrate that our proposed method can significantly improve the quality of the float ambiguity solution, leading to high success rate and better accuracy of attitude determination. PMID:25760057
Knapp, Karen
2013-01-01
Assessment of diagnostic image quality in gynaecological ultrasound is an important aspect of imaging department quality assurance. This may be addressed through audit, but who should undertake the audit, what should be measured and how, remains contentious. The aim of this study was to identify whether peer audit is a suitable method of assessing the diagnostic quality of gynaecological ultrasound images. Nineteen gynaecological ultrasound studies were independently assessed by six sonographers utilising a pilot version of an audit tool. Outcome measures were levels of inter-rater agreement using different data collection methods (binary scores, Likert scale, continuous scale), effect of ultrasound study difficulty on study score and whether systematic differences were present between reviewers of different clinical grades and length of experience. Inter-rater agreement ranged from moderate to good depending on the data collection method. A continuous scale gave the highest level of inter-rater agreement with an intra-class correlation coefficient of 0.73. A strong correlation (r = 0.89) between study difficulty and study score was yielded. Length of clinical experience between reviewers had no effect on the audit scores, but individuals of a higher clinical grade gave significantly lower scores than those of a lower grade (p = 0.04). Peer audit is a promising tool in the assessment of ultrasound image quality. Continuous scales seem to be the best method of data collection implying a strong element of heuristically driven decision making by reviewing ultrasound practitioners. PMID:27433192
ERIC Educational Resources Information Center
Newton, Warren P.; Lefebvre, Ann; Donahue, Katrina E.; Bacon, Thomas; Dobson, Allen
2010-01-01
Introduction: Little is known regarding how to accomplish large-scale health care improvement. Our goal is to improve the quality of chronic disease care in all primary care practices throughout North Carolina. Methods: Methods for improvement include (1) common quality measures and shared data system; (2) rapid cycle improvement principles; (3)…
The lack of theoretical support for using person trade-offs in QALY-type models.
Østerdal, Lars Peter
2009-10-01
Considerable support for the use of person trade-off methods to assess the quality-adjustment factor in quality-adjusted life years (QALY) models has been expressed in the literature. The WHO has occasionally used similar methods to assess the disability weights for calculation of disability-adjusted life years (DALYs). This paper discusses the theoretical support for the use of person trade-offs in QALY-type measurement of (changes in) population health. It argues that measures of this type based on such quality-adjustment factors almost always violate the Pareto principle, and so lack normative justification.
Ribeiro, Manuel C; Pinho, P; Branquinho, C; Llop, Esteve; Pereira, Maria J
2016-08-15
In most studies correlating health outcomes with air pollution, personal exposure assignments are based on measurements collected at air-quality monitoring stations not coinciding with health data locations. In such cases, interpolators are needed to predict air quality in unsampled locations and to assign personal exposures. Moreover, a measure of the spatial uncertainty of exposures should be incorporated, especially in urban areas where concentrations vary at short distances due to changes in land use and pollution intensity. These studies are limited by the lack of literature comparing exposure uncertainty derived from distinct spatial interpolators. Here, we addressed these issues with two interpolation methods: regression Kriging (RK) and ordinary Kriging (OK). These methods were used to generate air-quality simulations with a geostatistical algorithm. For each method, the geostatistical uncertainty was drawn from generalized linear model (GLM) analysis. We analyzed the association between air quality and birth weight. Personal health data (n=227) and exposure data were collected in Sines (Portugal) during 2007-2010. Because air-quality monitoring stations in the city do not offer high-spatial-resolution measurements (n=1), we used lichen data as an ecological indicator of air quality (n=83). We found no significant difference in the fit of GLMs with any of the geostatistical methods. With RK, however, the models tended to fit better more often and worse less often. Moreover, the geostatistical uncertainty results showed a marginally higher mean and precision with RK. Combined with lichen data and land-use data of high spatial resolution, RK is a more effective geostatistical method for relating health outcomes with air quality in urban areas. This is particularly important in small cities, which generally do not have expensive air-quality monitoring stations with high spatial resolution. Further, alternative ways of linking human activities with their environment are needed to improve human well-being. Copyright © 2016 Elsevier B.V. All rights reserved.
Klotz, Matthias C M; Beckmann, Nicholas A; Bitsch, Rudi G; Seebach, Elisabeth; Reiner, Tobias; Jäger, Sebastian
2014-11-13
In cases of poor bone quality, intraoperative torque measurement might be an alternative to preoperative dual-energy X-ray absorptiometry (DXA) to assess bone quality in total hip arthroplasty (THA). Trabecular peak torque measurement was applied in 14 paired fresh frozen human femurs. Here, a 6.5 × 23 mm wingblade was inserted into the proximal femur without harming the lateral cortical bone. Further tests of the proximal femur also evaluated bone strength (DXA, micro-computed tomography (μCT), monoaxial compression test), and the results were compared to the trabecular torque measurement. Student's t-test was used to compare the values of the groups. Pearson product-moment was applied to correlate the values of the peak torque measurement with the bone strength measured by DXA, μCT, and monoaxial compression test. In the femoral head, the mean trabecular peak torque was 4.38 ± 1.86 Nm. These values showed a strong correlation with the values of the DXA, the μCT, and the biomechanical load test (Pearson's product-moment: DXA: 0.86, μCT-BMD: 0.80, load test: 0.85). Furthermore, the torque measurement showed a more pronounced correlation with the biomechanical load test compared to the DXA. The use of this method provides highly diagnostic information about bone quality. Since the approach was adjusted for THA, no harm of the lateral bone stock will result from this measurement during surgery. The results of this initial study employing small sample sizes indicate that this new method is as sensitive as DXA in predicting bone quality and may function as an intraoperative alternative to DXA in THA. Nevertheless, before this method will turn into clinical use, more research and clinical trials are necessary.
Multiple network alignment via multiMAGNA+.
Vijayan, Vipin; Milenkovic, Tijana
2017-08-21
Network alignment (NA) aims to find a node mapping that identifies topologically or functionally similar network regions between molecular networks of different species. Analogous to genomic sequence alignment, NA can be used to transfer biological knowledge from well- to poorly-studied species between aligned network regions. Pairwise NA (PNA) finds similar regions between two networks while multiple NA (MNA) can align more than two networks. We focus on MNA. Existing MNA methods aim to maximize total similarity over all aligned nodes (node conservation). Then, they evaluate alignment quality by measuring the amount of conserved edges, but only after the alignment is constructed. Directly optimizing edge conservation during alignment construction in addition to node conservation may result in superior alignments. Thus, we present a novel MNA method called multiMAGNA++ that can achieve this. Indeed, multiMAGNA++ outperforms or is on par with existing MNA methods, while often completing faster than existing methods. That is, multiMAGNA++ scales well to larger network data and can be parallelized effectively. During method evaluation, we also introduce new MNA quality measures to allow for more fair MNA method comparison compared to the existing alignment quality measures. MultiMAGNA++ code is available on the method's web page at http://nd.edu/~cone/multiMAGNA++/.
Quality measures and assurance for AI (Artificial Intelligence) software
NASA Technical Reports Server (NTRS)
Rushby, John
1988-01-01
This report is concerned with the application of software quality and evaluation measures to AI software and, more broadly, with the question of quality assurance for AI software. Considered are not only the metrics that attempt to measure some aspect of software quality, but also the methodologies and techniques (such as systematic testing) that attempt to improve some dimension of quality, without necessarily quantifying the extent of the improvement. The report is divided into three parts Part 1 reviews existing software quality measures, i.e., those that have been developed for, and applied to, conventional software. Part 2 considers the characteristics of AI software, the applicability and potential utility of measures and techniques identified in the first part, and reviews those few methods developed specifically for AI software. Part 3 presents an assessment and recommendations for the further exploration of this important area.
Advani, Aneel; Jones, Neil; Shahar, Yuval; Goldstein, Mary K; Musen, Mark A
2004-01-01
We develop a method and algorithm for deciding the optimal approach to creating quality-auditing protocols for guideline-based clinical performance measures. An important element of the audit protocol design problem is deciding which guide-line elements to audit. Specifically, the problem is how and when to aggregate individual patient case-specific guideline elements into population-based quality measures. The key statistical issue involved is the trade-off between increased reliability with more general population-based quality measures versus increased validity from individually case-adjusted but more restricted measures done at a greater audit cost. Our intelligent algorithm for auditing protocol design is based on hierarchically modeling incrementally case-adjusted quality constraints. We select quality constraints to measure using an optimization criterion based on statistical generalizability coefficients. We present results of the approach from a deployed decision support system for a hypertension guideline.
Safety considerations in providing allergen immunotherapy in the office.
Mattos, Jose L; Lee, Stella
2016-06-01
This review highlights the risks of allergy immunotherapy, methods to improve the quality and safety of allergy treatment, the current status of allergy quality metrics, and the future of quality measurement. In the current healthcare environment, the emphasis on outcomes measurement is increasing, and providers must be better equipped in the development, measurement, and reporting of safety and quality measures. Immunotherapy offers the only potential cure for allergic disease and asthma. Although well tolerated and effective, immunotherapy can be associated with serious consequence, including anaphylaxis and death. Many predisposing factors and errors that lead to serious systemic reactions are preventable, and the evaluation and implementation of quality measures are crucial to developing a safe immunotherapy practice. Although quality metrics for immunotherapy are in their infancy, they will become increasingly sophisticated, and providers will face increased pressure to deliver safe, high-quality, patient-centered, evidence-based, and efficient allergy care. The establishment of safety in the allergy office involves recognition of potential risk factors for anaphylaxis, the development and measurement of quality metrics, and changing systems-wide practices if needed. Quality improvement is a continuous process, and although national allergy-specific quality metrics do not yet exist, they are in development.
From Theory to Practice: Measuring end-of-life communication quality using multiple goals theory.
Van Scoy, L J; Scott, A M; Reading, J M; Chuang, C H; Chinchilli, V M; Levi, B H; Green, M J
2017-05-01
To describe how multiple goals theory can be used as a reliable and valid measure (i.e., coding scheme) of the quality of conversations about end-of-life issues. We analyzed conversations from 17 conversations in which 68 participants (mean age=51years) played a game that prompted discussion in response to open-ended questions about end-of-life issues. Conversations (mean duration=91min) were audio-recorded and transcribed. Communication quality was assessed by three coders who assigned numeric scores rating how well individuals accomplished task, relational, and identity goals in the conversation. The coding measure, which results in a quantifiable outcome, yielded strong reliability (intra-class correlation range=0.73-0.89 and Cronbach's alpha range=0.69-0.89 for each of the coded domains) and validity (using multilevel nonlinear modeling, we detected significant variability in scores between games for each of the coded domains, all p-values <0.02). Our coding scheme provides a theory-based measure of end-of-life conversation quality that is superior to other methods of measuring communication quality. Our description of the coding method enables researches to adapt and apply this measure to communication interventions in other clinical contexts. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.
CALL FOR PAPERS: 13th International Conference on Force and Mass Measurement
NASA Astrophysics Data System (ADS)
1992-01-01
10 14 May 1993, Helsinki Fair Centre, Finland Scope of the Conference The Conference reports and reviews the state of the art and future trends in force and mass measurements in science and industry. Emphasis is on the applications of new methods, current problems in calibration and quality control, as well as on advancements in new sensor technologies and industrial application of force and mass measurements. Main Themes and Topics 1. The state of the art and development trends in force and mass measurements Development and stability of high level mass standards Mass comparators and force standard machine New research topics in mass and force 2. Calibration and quality control Calibration methods Estimation of uncertainties and classification of accuracies Relations between calibration, testing and quality control Requirements for quality control Verification of weighing instruments and their main devices 3. Application of force and mass measurements Automatic weighing Mass flow measurements Quality control in process industry Sensor technologies Practical applications Special applications in industry, trade, etc. Deadline for submission of abstracts: 30 June 1992. For further information please contact: Finnish Society of Automation, Asemapäällikönkatu 12C, SF-00520 HELSINKI, Finland Phone: Int. +3580 1461 644, Fax: Int. +3580 1461 650
Issues in Evaluating Importance Weighting in Quality of Life Measures
ERIC Educational Resources Information Center
Hsieh, Chang-ming
2013-01-01
For most empirical research investigating the topic of importance weighting in quality of life (QoL) measures, the prevailing approach has been to use (1) a limited choice of global QoL measures as criterion variables (often a single one) to determine the performance of importance weighting, (2) a limited option of weighting methods to develop…
Nursing Home Staff Turnover: Impact on Nursing Home Compare Quality Measures
ERIC Educational Resources Information Center
Castle, Nicholas G.; Engberg, John; Men, Aiju
2007-01-01
Purpose: We used data from a large sample of nursing homes to examine the association between staff turnover and quality. Design and Methods: The staff turnover measures came from primary data collected from 2,840 nursing homes in 2004 (representing a 71% response rate). Data collection included measures for nurse aides, licensed practical nurses,…
Video quality assessment using motion-compensated temporal filtering and manifold feature similarity
Yu, Mei; Jiang, Gangyi; Shao, Feng; Peng, Zongju
2017-01-01
Well-performed Video quality assessment (VQA) method should be consistent with human visual systems for better prediction accuracy. In this paper, we propose a VQA method using motion-compensated temporal filtering (MCTF) and manifold feature similarity. To be more specific, a group of frames (GoF) is first decomposed into a temporal high-pass component (HPC) and a temporal low-pass component (LPC) by MCTF. Following this, manifold feature learning (MFL) and phase congruency (PC) are used to predict the quality of temporal LPC and temporal HPC respectively. The quality measures of the LPC and the HPC are then combined as GoF quality. A temporal pooling strategy is subsequently used to integrate GoF qualities into an overall video quality. The proposed VQA method appropriately processes temporal information in video by MCTF and temporal pooling strategy, and simulate human visual perception by MFL. Experiments on publicly available video quality database showed that in comparison with several state-of-the-art VQA methods, the proposed VQA method achieves better consistency with subjective video quality and can predict video quality more accurately. PMID:28445489
Studies of the Lateral-Directional Flying Qualities of a Tandem Helicopter in Forward Flight
NASA Technical Reports Server (NTRS)
Amer, Kenneth B; Tapscott, Robert J
1954-01-01
An investigation of the lateral-directional flying qualities of a tandem-rotor helicopter in forward flight was undertaken to determine desirable goals for helicopter lateral-directional flying qualities and possible methods of achieving these goals in the tandem-rotor helicopter. Comparison between directional stability as measured in flight and rotor-off model tests in a wind tunnel shows qualitative agreement and, hence, indicates such wind-tunnel test, despite the absence of the rotors, to be one effective method of studying means of improving the directional stability of the tandem helicopter. Flight-test measurements of turns and oscillations, in conjunction with analytical studies, suggest possible practical methods of achieving the goals of satisfactory turn and oscillatory characteristics in the tandem helicopter.
Characterization of non-conductive materials using field emission scanning electron microscopy
NASA Astrophysics Data System (ADS)
Cao, Cong; Gao, Ran; Shang, Huayan; Peng, Tingting
2016-01-01
With the development of science and technology, field emission scanning electron microscope (FESEM) plays an important role in nano-material measurements because of its advantages of high magnification, high resolution and easy operation. A high-quality secondary electron image is a significant prerequisite for accurate and precise length measurements. In order to obtain high-quality secondary electron images, the conventional treatment method for non-conductive materials is coating conductive films with gold, carbon or platinum to reduce charging effects, but this method will cover real micro structures of materials, change the sample composition properties and meanwhile introduce a relatively big error to nano-scale microstructure measurements. This paper discusses how to reduce or eliminate the impact of charging effects on image quality to the greatest extent by changing working conditions, such as voltage, stage bias, scanning mode and so on without treatment of coating, to obtain real and high-quality microstructure information of materials.
Crowdsourcing as an Analytical Method: Metrology of Smartphone Measurements in Heritage Science.
Brigham, Rosie; Grau-Bové, Josep; Rudnicka, Anna; Cassar, May; Strlic, Matija
2018-06-18
This research assesses the precision, repeatability, and accuracy of crowdsourced scientific measurements, and whether their quality is sufficient to provide usable results. Measurements of colour and area were chosen because of the possibility of producing them with smartphone cameras. The quality of the measurements was estimated experimentally by comparing data contributed by anonymous participants in heritage sites with reference measurements of known accuracy and precision. Participants performed the measurements by taking photographs with their smartphones, from which colour and dimensional data could be extracted. The results indicate that smartphone measurements provided by citizen scientists can be used to measure changes in colour, but that the performance is strongly dependent on the measured colour coordinate. The same method can be used to measure areas when the difference in colour with the neighbouring areas is large enough. These results render the method useful in some heritage science contexts, but higher precision would be desirable. © 2018 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.
Cumulative uncertainty in measured streamflow and water quality data for small watersheds
Harmel, R.D.; Cooper, R.J.; Slade, R.M.; Haney, R.L.; Arnold, J.G.
2006-01-01
The scientific community has not established an adequate understanding of the uncertainty inherent in measured water quality data, which is introduced by four procedural categories: streamflow measurement, sample collection, sample preservation/storage, and laboratory analysis. Although previous research has produced valuable information on relative differences in procedures within these categories, little information is available that compares the procedural categories or presents the cumulative uncertainty in resulting water quality data. As a result, quality control emphasis is often misdirected, and data uncertainty is typically either ignored or accounted for with an arbitrary margin of safety. Faced with the need for scientifically defensible estimates of data uncertainty to support water resource management, the objectives of this research were to: (1) compile selected published information on uncertainty related to measured streamflow and water quality data for small watersheds, (2) use a root mean square error propagation method to compare the uncertainty introduced by each procedural category, and (3) use the error propagation method to determine the cumulative probable uncertainty in measured streamflow, sediment, and nutrient data. Best case, typical, and worst case "data quality" scenarios were examined. Averaged across all constituents, the calculated cumulative probable uncertainty (??%) contributed under typical scenarios ranged from 6% to 19% for streamflow measurement, from 4% to 48% for sample collection, from 2% to 16% for sample preservation/storage, and from 5% to 21% for laboratory analysis. Under typical conditions, errors in storm loads ranged from 8% to 104% for dissolved nutrients, from 8% to 110% for total N and P, and from 7% to 53% for TSS. Results indicated that uncertainty can increase substantially under poor measurement conditions and limited quality control effort. This research provides introductory scientific estimates of uncertainty in measured water quality data. The results and procedures presented should also assist modelers in quantifying the "quality"of calibration and evaluation data sets, determining model accuracy goals, and evaluating model performance.
Fundamentals of in Situ Digital Camera Methodology for Water Quality Monitoring of Coast and Ocean
Goddijn-Murphy, Lonneke; Dailloux, Damien; White, Martin; Bowers, Dave
2009-01-01
Conventional digital cameras, the Nikon Coolpix885® and the SeaLife ECOshot®, were used as in situ optical instruments for water quality monitoring. Measured response spectra showed that these digital cameras are basically three-band radiometers. The response values in the red, green and blue bands, quantified by RGB values of digital images of the water surface, were comparable to measurements of irradiance levels at red, green and cyan/blue wavelengths of water leaving light. Different systems were deployed to capture upwelling light from below the surface, while eliminating direct surface reflection. Relationships between RGB ratios of water surface images, and water quality parameters were found to be consistent with previous measurements using more traditional narrow-band radiometers. This current paper focuses on the method that was used to acquire digital images, derive RGB values and relate measurements to water quality parameters. Field measurements were obtained in Galway Bay, Ireland, and in the Southern Rockall Trough in the North Atlantic, where both yellow substance and chlorophyll concentrations were successfully assessed using the digital camera method. PMID:22346729
NASA Astrophysics Data System (ADS)
Chen, Yi
2018-03-01
The comprehensive water quality identification index method is able to assess the general water quality situation comprehensively and represent the water quality classification; water environment functional zone achieves pollution level and standard objectively and systematically. This paper selects 3 representative zones along deep-water channel of Guangzhou port and applies comprehensive water quality identification index method to calculate sea water quality monitoring data for different selected zones from year 2006 to 2014, in order to investigate the temporal variation of water quality along deep-water channel of Guangzhou port. The comprehensive water quality level from north to south presents an increased trend, and the water quality of the three zones in 2014 is much better than in 2006. This paper puts forward environmental protection measurements and suggestions for Pearl River Estuary, provides data support and theoretical basis for studied sea area pollution prevention and control.
A new quality of bone ultrasound research.
Gluer, C C
2008-07-01
Quantitative ultrasound (QUS) methods have strong power to predict osteoporotic fractures, but they are also very relevant for the assessment of bone quality. A representative sample of recent studies addressing these topics can be found in this special issue. Further pursuit of these methods will establish micro-QUS imaging methods as tools for measuring specific aspects of bone quality. Once this is achieved, we will be able to link such data to the clinical QUS methods used in vivo to determine which aspects of bone quality cause QUS to be a predictor of fracture risk that is independent of bone mineral density (BMD). Potentially this could lead to the development of a new generation of QUS devices for improved and expanded clinical assessment. Good quality of basic science work will thus lead to good quality of clinical patient examinations on the basis of a more detailed assessment of bone quality.
Chien-Ching Ma; Ching-Yuan Chang
2013-07-01
Interferometry provides a high degree of accuracy in the measurement of sub-micrometer deformations; however, the noise associated with experimental measurement undermines the integrity of interference fringes. This study proposes the use of standard deviation in the temporal domain to improve the image quality of patterns obtained from temporal speckle pattern interferometry. The proposed method combines the advantages of both mean and subtractive methods to remove background noise and ambient disturbance simultaneously, resulting in high-resolution images of excellent quality. The out-of-plane vibration of a thin piezoelectric plate is the main focus of this study, providing information useful to the development of energy harvesters. First, ten resonant states were measured using the proposed method, and both mode shape and resonant frequency were investigated. We then rebuilt the phase distribution of the first resonant mode based on the clear interference patterns obtained using the proposed method. This revealed instantaneous deformations in the dynamic characteristics of the resonant state. The proposed method also provides a frequency-sweeping function, facilitating its practical application in the precise measurement of resonant frequency. In addition, the mode shapes and resonant frequencies obtained using the proposed method were recorded and compared with results obtained using finite element method and laser Doppler vibrometery, which demonstrated close agreement.
USDA-ARS?s Scientific Manuscript database
Hand candling is the most common method of assessing interior egg quality. While this method is non-destructive, it is very subjective and takes some skill. The Haugh unit was developed in 1937 by R. Haugh and is revered as the “gold standard” for measuring interior egg quality. This objective me...
Use of NDT equipment for construction quality control of hot mix asphalt pavements
DOT National Transportation Integrated Search
2006-08-01
The focus of the study has been to evaluate the utility of seismic methods in the quality management of the hot mix asphalt layers. Procedures are presented to measure the target field moduli of hot mix asphalt (HMA) with laboratory seismic methods, ...
Liang, M H
2000-09-01
Although widely used and reported in research for the evaluation of groups, measures of health status and health-related quality of life have had little application in clinical practice for the assessment of individual patients. One of the principal barriers is the demonstration that these measures add clinically significant information to measures of function or symptoms alone. Here, we review the methods for evaluation of construct validity in longitudinal studies and make recommendations for nomenclature, reporting of study results, and future research agenda. Analytical review. The terms "sensitivity" and "responsiveness" have been used interchangeably, and there are few studies that evaluate the extent to which health status or health-related quality-of life measures capture clinically important changes ("responsiveness"). Current methods of evaluating responsiveness are not standardized or evaluated. Approaches for the assessment of a clinically significant or meaningful change are described; rather than normative information, however, standardized transition questions are proposed. They would be reported routinely and as separate axes of description to capture individual perceptions. Research in methods to assess the subject's evaluation of the importance and magnitude of a measured change are critical if health status and health-related quality-of-life measures are to have an impact on patient care.
Implications of measures of quality of life for policy development.
Mosteller, F
1987-01-01
Quality of life measurements can lead to legislative programs for health, new policies for the health care system, and possibly new attitudes in the courts. Clinical decisions, public health evaluations, and advice for legislatures and courts require diverse measures. We illustrate potential use of such measures with reimbursement problems, programs like Head Start, mainstreaming the handicapped, day care and prenatal care, terminal care for the elderly, monitoring programs, and chronic disabilities. The many treatment policies discussed at the Portugal Conference show the need for quality of life measures in clinical trials. The courts, although considering quality of life, do not seem to consider quality of life measures. If scientists and medical experts wish to establish or change the positions of the courts, consensus conferences appear more effective than regulation or new legislation. To contribute more than they now do to policy, workers measuring quality of life need to develop a variety of measures and methods. They, then, must apply them to medical and health problems, build up a substantial literature, and set priorities for the research needs of the field.
Evaluating Quality Management in University Departments
ERIC Educational Resources Information Center
Becket, Nina; Brookes, Maureen
2006-01-01
Purpose: Despite the abundance of research on quality management there is no universal consensus on how best to measure quality in higher education. This paper undertakes a critical evaluation of the different methods used to assess the quality of provision in higher education departments in the UK. Design/methodology/approach: Drawing on relevant…
A method for assessment of watershed health is developed by employing measures of reliability, resilience and vulnerability (R-R-V) using stream water quality data. Observed water quality data are usually sparse, so that a water quality time series is often reconstructed using s...
ERIC Educational Resources Information Center
Ferrer, Carlos A.; Haderlein, Tino; Maryn, Youri; de Bodt, Marc S.; Nöth, Elmar
2018-01-01
Purpose: The aim of the study was to address the reported inconsistencies in the relationship between objective acoustic measures and perceptual ratings of vocal quality. Method: This tutorial moves away from the more widely examined problems related to obtaining the perceptual ratings and the acoustic measures and centers in less scrutinized…
Application of an IRT Polytomous Model for Measuring Health Related Quality of Life
ERIC Educational Resources Information Center
Tejada, Antonio J. Rojas; Rojas, Oscar M. Lozano
2005-01-01
Background: The Item Response Theory (IRT) has advantages for measuring Health Related Quality of Life (HRQOL) as opposed to the Classical Tests Theory (CTT). Objectives: To present the results of the application of a polytomous model based on IRT, specifically, the Rating Scale Model (RSM), to measure HRQOL with the EORTC QLQ-C30. Methods: 103…
ERIC Educational Resources Information Center
Townsend-White, C.; Pham, A. N. T.; Vassos, M. V.
2012-01-01
Background: The quality of life (QOL) construct is proposed as a method to assess service outcomes for people utilising disability services. With this in mind, the aim of this study was to conduct a systematic review of available QOL measures for people with intellectual disability (ID) to pinpoint psychometrically sound measures that can be…
Aalgaard Kelly, Gina
2015-01-01
Objective: The overall purpose of this study was to propose and test a conceptual model and apply family analyses methods to understand quality of life family congruence in the nursing home setting. Method: Secondary data for this study were from a larger study, titled Measurement, Indicators and Improvement of the Quality of Life (QOL) in Nursing Homes . Research literature, family systems theory and human ecological assumptions, fostered the conceptual model empirically testing quality of life family congruence. Results: The study results supported a model examining nursing home residents and two family members on quality of life family congruence. Specifically, family intergenerational dynamic factors, resident personal and social-psychological factors, and nursing home family input factors were examined to identify differences in quality of life family congruence among triad families. Discussion: Formal family involvement and resident cognitive functioning were found as the two most influential factors to quality of life family congruence (QOLFC).
Aalgaard Kelly, Gina
2015-01-01
Objective: The overall purpose of this study was to propose and test a conceptual model and apply family analyses methods to understand quality of life family congruence in the nursing home setting. Method: Secondary data for this study were from a larger study, titled Measurement, Indicators and Improvement of the Quality of Life (QOL) in Nursing Homes. Research literature, family systems theory and human ecological assumptions, fostered the conceptual model empirically testing quality of life family congruence. Results: The study results supported a model examining nursing home residents and two family members on quality of life family congruence. Specifically, family intergenerational dynamic factors, resident personal and social-psychological factors, and nursing home family input factors were examined to identify differences in quality of life family congruence among triad families. Discussion: Formal family involvement and resident cognitive functioning were found as the two most influential factors to quality of life family congruence (QOLFC). PMID:28138474
Fecal indicator bacteria (FIB) are used to monitor recreational water quality worldwide. Current methods of measuring FIB require at least 24-hours for growth of bacterial colonies. We conducted studies at four Great Lake beaches to examine the relationship between novel and fas...
Methods of Analysis and Overall Mathematics Teaching Quality in At-Risk Prekindergarten Classrooms
ERIC Educational Resources Information Center
McGuire, Patrick R.; Kinzie, Mable; Thunder, Kateri; Berry, Robert
2016-01-01
Research Findings: This study analyzed the quality of teacher-child interactions across 10 videotaped observations drawn from 5 different prekindergarten classrooms delivering the same mathematics curriculum: "MyTeachingPartner-Math." Interactions were coded using 2 observational measures: (a) a general measure, the Classroom Assessment…
The original EPA recreational water health studies, initiated in 1972 and completed in 1982, were designed to determine the relationship between swimming-associated gastroenteritis and the quality of the bathing water. The water quality was measured using multiple microbial indi...
USDA-ARS?s Scientific Manuscript database
Water holding capacity (WHC) in chicken meat is directly correlated with the quality of the meat. Lower water holding capacity is linked with decreased sensory qualities and therefore lower consumer satisfaction. Additionally, measurement of WHC is subject to wide variations which can depend on many...
RAPID METHODS FOR MEASURING INDICATOR BACTERIA IN BATHING BEACH WATERS
The current methods for measuring the quality of recreational waters were developed in the 1970's and were recommended to the States by EPA in 1986. These methods detect and quantify Escherichia coli and enterococci, two bacteria that are consistently associated with fecal wast...
Measuring Flow Rate in Crystalline Bedrock Wells Using the Dissolved Oxygen Alteration Method.
Vitale, Sarah A; Robbins, Gary A
2017-07-01
Determination of vertical flow rates in a fractured bedrock well can aid in planning and implementing hydraulic tests, water quality sampling, and improving interpretations of water quality data. Although flowmeters are highly accurate in flow rate measurement, the high cost and logistics may be limiting. In this study the dissolved oxygen alteration method (DOAM) is expanded upon as a low-cost alternative to determine vertical flow rates in crystalline bedrock wells. The method entails altering the dissolved oxygen content in the wellbore through bubbler aeration, and monitoring the vertical advective movement of the dissolved oxygen over time. Measurements were taken for upward and downward flows, and under ambient and pumping conditions. Vertical flow rates from 0.06 to 2.30 Lpm were measured. To validate the method, flow rates determined with the DOAM were compared to pump discharge rates and found to be in agreement within 2.5%. © 2017, National Ground Water Association.
Perceptual video quality assessment in H.264 video coding standard using objective modeling.
Karthikeyan, Ramasamy; Sainarayanan, Gopalakrishnan; Deepa, Subramaniam Nachimuthu
2014-01-01
Since usage of digital video is wide spread nowadays, quality considerations have become essential, and industry demand for video quality measurement is rising. This proposal provides a method of perceptual quality assessment in H.264 standard encoder using objective modeling. For this purpose, quality impairments are calculated and a model is developed to compute the perceptual video quality metric based on no reference method. Because of the shuttle difference between the original video and the encoded video the quality of the encoded picture gets degraded, this quality difference is introduced by the encoding process like Intra and Inter prediction. The proposed model takes into account of the artifacts introduced by these spatial and temporal activities in the hybrid block based coding methods and an objective modeling of these artifacts into subjective quality estimation is proposed. The proposed model calculates the objective quality metric using subjective impairments; blockiness, blur and jerkiness compared to the existing bitrate only calculation defined in the ITU G 1070 model. The accuracy of the proposed perceptual video quality metrics is compared against popular full reference objective methods as defined by VQEG.
Defining Quality in Assisted Living: Comparing Apples, Oranges, and Broccoli
ERIC Educational Resources Information Center
Hawes, Catherine; Phillips, Charles D.
2007-01-01
Purpose: The purpose of this article is to discuss and describe various measures of quality, quality indicators, and uses of information on quality with specific reference to the role or purpose of assisted living. Design and Methods: We reviewed a variety of major studies of assisted living quality. We elaborated models of assisted living based…
Evaluating health service quality: using importance performance analysis.
Izadi, Azar; Jahani, Younes; Rafiei, Sima; Masoud, Ali; Vali, Leila
2017-08-14
Purpose Measuring healthcare service quality provides an objective guide for managers and policy makers to improve their services and patient satisfaction. Consequently, the purpose of this paper is to measure service quality provided to surgical and medical inpatients at Kerman Medical Sciences University (KUMS) in 2015. Design/methodology/approach A descriptive-analytic study, using a cross-sectional method in the KUMS training hospitals, was implemented between October 2 and March 15, 2015. Using stratified random sampling, 268 patients were selected. Data were collected using an importance-performance analysis (IPA) questionnaire, which measures current performance and determines each item's importance from the patients' perspectives. These data indicate overall satisfaction and appropriate practical strategies for managers to plan accordingly. Findings Findings revealed a significant gap between service importance and performance. From the patients' viewpoint, tangibility was the highest priority (mean=3.54), while reliability was given the highest performance (mean=3.02). The least important and lowest performance level was social accountability (mean=1.91 and 1.98, respectively). Practical implications Healthcare managers should focus on patient viewpoints and apply patient comments to solve problems, improve service quality and patient satisfaction. Originality/value The authors applied an IPA questionnaire to measure service quality provided to surgical and medical ward patients. This method identifies and corrects service quality shortcomings and improving service recipient perceptions.
Nguyen, Dat Tien; Park, Kang Ryoung
2016-07-21
With higher demand from users, surveillance systems are currently being designed to provide more information about the observed scene, such as the appearance of objects, types of objects, and other information extracted from detected objects. Although the recognition of gender of an observed human can be easily performed using human perception, it remains a difficult task when using computer vision system images. In this paper, we propose a new human gender recognition method that can be applied to surveillance systems based on quality assessment of human areas in visible light and thermal camera images. Our research is novel in the following two ways: First, we utilize the combination of visible light and thermal images of the human body for a recognition task based on quality assessment. We propose a quality measurement method to assess the quality of image regions so as to remove the effects of background regions in the recognition system. Second, by combining the features extracted using the histogram of oriented gradient (HOG) method and the measured qualities of image regions, we form a new image features, called the weighted HOG (wHOG), which is used for efficient gender recognition. Experimental results show that our method produces more accurate estimation results than the state-of-the-art recognition method that uses human body images.
Nguyen, Dat Tien; Park, Kang Ryoung
2016-01-01
With higher demand from users, surveillance systems are currently being designed to provide more information about the observed scene, such as the appearance of objects, types of objects, and other information extracted from detected objects. Although the recognition of gender of an observed human can be easily performed using human perception, it remains a difficult task when using computer vision system images. In this paper, we propose a new human gender recognition method that can be applied to surveillance systems based on quality assessment of human areas in visible light and thermal camera images. Our research is novel in the following two ways: First, we utilize the combination of visible light and thermal images of the human body for a recognition task based on quality assessment. We propose a quality measurement method to assess the quality of image regions so as to remove the effects of background regions in the recognition system. Second, by combining the features extracted using the histogram of oriented gradient (HOG) method and the measured qualities of image regions, we form a new image features, called the weighted HOG (wHOG), which is used for efficient gender recognition. Experimental results show that our method produces more accurate estimation results than the state-of-the-art recognition method that uses human body images. PMID:27455264
48 CFR 970.1100-1 - Performance-based contracting.
Code of Federal Regulations, 2012 CFR
2012-10-01
... methods of accomplishing the work; use measurable (i.e., terms of quality, timeliness, quantity) performance standards and objectives and quality assurance surveillance plans; provide performance incentives... work and other documents used to establish work requirements. (d) Quality assurance surveillance plans...
48 CFR 970.1100-1 - Performance-based contracting.
Code of Federal Regulations, 2014 CFR
2014-10-01
... methods of accomplishing the work; use measurable (i.e., terms of quality, timeliness, quantity) performance standards and objectives and quality assurance surveillance plans; provide performance incentives... work and other documents used to establish work requirements. (d) Quality assurance surveillance plans...
48 CFR 970.1100-1 - Performance-based contracting.
Code of Federal Regulations, 2013 CFR
2013-10-01
... methods of accomplishing the work; use measurable (i.e., terms of quality, timeliness, quantity) performance standards and objectives and quality assurance surveillance plans; provide performance incentives... work and other documents used to establish work requirements. (d) Quality assurance surveillance plans...
Yang, Ming; Yang, Yuan-Zhen; Wang, Ya-Qi; Wu, Zhen-Feng; Wang, Xue-Cheng; Luo, Jing
2017-03-01
Product quality relies on not only testing methods,but also the design and development, production control and product manufacturing all aspects of logistics management. Quality comes from the process control level.Therefore, it is very important to accurately identify the factors that may induce quality risk in the production process and quality control measures correspondingly.This article systematically analyzes the source of the quality risk of all aspects of the production process in traditional Chinese medicine preparation. Discussing ways and methods of quality risk identification of traditional Chinese medicine preparation and providing references for perfecting the whole process quality management of traditional Chinese medicine preparation. Copyright© by the Chinese Pharmaceutical Association.
Hadjiiski, Lubomir; Liu, Jordan; Chan, Heang-Ping; Zhou, Chuan; Wei, Jun; Chughtai, Aamer; Kuriakose, Jean; Agarwal, Prachi; Kazerooni, Ella
2016-01-01
The detection of stenotic plaques strongly depends on the quality of the coronary arterial tree imaged with coronary CT angiography (cCTA). However, it is time consuming for the radiologist to select the best-quality vessels from the multiple-phase cCTA for interpretation in clinical practice. We are developing an automated method for selection of the best-quality vessels from coronary arterial trees in multiple-phase cCTA to facilitate radiologist's reading or computerized analysis. Our automated method consists of vessel segmentation, vessel registration, corresponding vessel branch matching, vessel quality measure (VQM) estimation, and automatic selection of best branches based on VQM. For every branch, the VQM was calculated as the average radial gradient. An observer preference study was conducted to visually compare the quality of the selected vessels. 167 corresponding branch pairs were evaluated by two radiologists. The agreement between the first radiologist and the automated selection was 76% with kappa of 0.49. The agreement between the second radiologist and the automated selection was also 76% with kappa of 0.45. The agreement between the two radiologists was 81% with kappa of 0.57. The observer preference study demonstrated the feasibility of the proposed automated method for the selection of the best-quality vessels from multiple cCTA phases.
Remote measurements of water pollution with a lidar polarimeter
NASA Technical Reports Server (NTRS)
Sheives, T. C.; Rouse, J. W., Jr.; Mayo, W. T., Jr.
1974-01-01
This paper examines a dual polarization laser backscatter system as a method for remote measurements of certain water quality parameters. Analytical models for describing the backscatter from turbid water and oil on turbid water are presented and compared with experimental data. Laser backscatter field measurements from natural waterways are presented and compared with simultaneous ground observations of the water quality parameters: turbidity, suspended solids, and transmittance. The results of this study show that the analytical models appear valid and that the sensor investigated is applicable to remote measurements of these water quality parameters and oil spills on water.-
Li, Li; Liu, Dong-Jun
2014-01-01
Since 2012, China has been facing haze-fog weather conditions, and haze-fog pollution and PM2.5 have become hot topics. It is very necessary to evaluate and analyze the ecological status of the air environment of China, which is of great significance for environmental protection measures. In this study the current situation of haze-fog pollution in China was analyzed first, and the new Ambient Air Quality Standards were introduced. For the issue of air quality evaluation, a comprehensive evaluation model based on an entropy weighting method and nearest neighbor method was developed. The entropy weighting method was used to determine the weights of indicators, and the nearest neighbor method was utilized to evaluate the air quality levels. Then the comprehensive evaluation model was applied into the practical evaluation problems of air quality in Beijing to analyze the haze-fog pollution. Two simulation experiments were implemented in this study. One experiment included the indicator of PM2.5 and was carried out based on the new Ambient Air Quality Standards (GB 3095-2012); the other experiment excluded PM2.5 and was carried out based on the old Ambient Air Quality Standards (GB 3095-1996). Their results were compared, and the simulation results showed that PM2.5 was an important indicator for air quality and the evaluation results of the new Air Quality Standards were more scientific than the old ones. The haze-fog pollution situation in Beijing City was also analyzed based on these results, and the corresponding management measures were suggested. PMID:25170682
ERIC Educational Resources Information Center
Alhabeeb, Abdurrahman Mohammad
2015-01-01
The goal of this study is measuring the level of quality service offered to students at the college of education at King Saud University, specifically the gap between students' perceptions and expectations of the quality of the offered service. The descriptive analytical approach has been applied in the study using SERVQUAL method to collect data…
Does a hospital's quality depend on the quality of other hospitals? A spatial econometrics approach
Gravelle, Hugh; Santos, Rita; Siciliani, Luigi
2014-01-01
We examine whether a hospital's quality is affected by the quality provided by other hospitals in the same market. We first sketch a theoretical model with regulated prices and derive conditions on demand and cost functions which determine whether a hospital will increase its quality if its rivals increase their quality. We then apply spatial econometric methods to a sample of English hospitals in 2009–10 and a set of 16 quality measures including mortality rates, readmission, revision and redo rates, and three patient reported indicators, to examine the relationship between the quality of hospitals. We find that a hospital's quality is positively associated with the quality of its rivals for seven out of the sixteen quality measures. There are no statistically significant negative associations. In those cases where there is a significant positive association, an increase in rivals' quality by 10% increases a hospital's quality by 1.7% to 2.9%. The finding suggests that for some quality measures a policy which improves the quality in one hospital will have positive spillover effects on the quality in other hospitals. PMID:25843994
Does a hospital's quality depend on the quality of other hospitals? A spatial econometrics approach.
Gravelle, Hugh; Santos, Rita; Siciliani, Luigi
2014-11-01
We examine whether a hospital's quality is affected by the quality provided by other hospitals in the same market. We first sketch a theoretical model with regulated prices and derive conditions on demand and cost functions which determine whether a hospital will increase its quality if its rivals increase their quality. We then apply spatial econometric methods to a sample of English hospitals in 2009-10 and a set of 16 quality measures including mortality rates, readmission, revision and redo rates, and three patient reported indicators, to examine the relationship between the quality of hospitals. We find that a hospital's quality is positively associated with the quality of its rivals for seven out of the sixteen quality measures. There are no statistically significant negative associations. In those cases where there is a significant positive association, an increase in rivals' quality by 10% increases a hospital's quality by 1.7% to 2.9%. The finding suggests that for some quality measures a policy which improves the quality in one hospital will have positive spillover effects on the quality in other hospitals.
MTF measurements on real time for performance analysis of electro-optical systems
NASA Astrophysics Data System (ADS)
Stuchi, Jose Augusto; Signoreto Barbarini, Elisa; Vieira, Flavio Pascoal; dos Santos, Daniel, Jr.; Stefani, Mário Antonio; Yasuoka, Fatima Maria Mitsue; Castro Neto, Jarbas C.; Linhari Rodrigues, Evandro Luis
2012-06-01
The need of methods and tools that assist in determining the performance of optical systems is actually increasing. One of the most used methods to perform analysis of optical systems is to measure the Modulation Transfer Function (MTF). The MTF represents a direct and quantitative verification of the image quality. This paper presents the implementation of the software, in order to calculate the MTF of electro-optical systems. The software was used for calculating the MTF of Digital Fundus Camera, Thermal Imager and Ophthalmologic Surgery Microscope. The MTF information aids the analysis of alignment and measurement of optical quality, and also defines the limit resolution of optical systems. The results obtained with the Fundus Camera and Thermal Imager was compared with the theoretical values. For the Microscope, the results were compared with MTF measured of Microscope Zeiss model, which is the quality standard of ophthalmological microscope.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Seibert, J; Imbergamo, P
The expansion and integration of diagnostic imaging technologies such as On Board Imaging (OBI) and Cone Beam Computed Tomography (CBCT) into radiation oncology has required radiation oncology physicists to be responsible for and become familiar with assessing image quality. Unfortunately many radiation oncology physicists have had little or no training or experience in measuring and assessing image quality. Many physicists have turned to automated QA analysis software without having a fundamental understanding of image quality measures. This session will review the basic image quality measures of imaging technologies used in the radiation oncology clinic, such as low contrast resolution, highmore » contrast resolution, uniformity, noise, and contrast scale, and how to measure and assess them in a meaningful way. Additionally a discussion of the implementation of an image quality assurance program in compliance with Task Group recommendations will be presented along with the advantages and disadvantages of automated analysis methods. Learning Objectives: Review and understanding of the fundamentals of image quality. Review and understanding of the basic image quality measures of imaging modalities used in the radiation oncology clinic. Understand how to implement an image quality assurance program and to assess basic image quality measures in a meaningful way.« less
Visual acuity and quality of life in dry eye disease: Proceedings of the OCEAN group meeting.
Benítez-Del-Castillo, José; Labetoulle, Marc; Baudouin, Christophe; Rolando, Maurizio; Akova, Yonca A; Aragona, Pasquale; Geerling, Gerd; Merayo-Lloves, Jesús; Messmer, Elisabeth M; Boboridis, Kostas
2017-04-01
Dry eye disease (DED) results in tear film instability and hyperosmolarity, inflammation of the ocular surface and, ultimately, visual disturbance that can significantly impact a patient's quality of life. The effects on visual acuity result in difficulties with driving, reading and computer use and negatively impact psychological health. These effects also extend to the workplace, with a loss of productivity and quality of work causing substantial economic losses. The effects of DED and the impact on vision experienced by patients may not be given sufficient importance by ophthalmologists. Functional visual acuity (FVA) is a measure of visual acuity after sustained eye opening without blinking for at least 10 s and mimics the sustained visual acuity of daily life. Measuring dynamic FVA allows the detection of impaired visual function in patients with DED who may display normal conventional visual acuity. There are currently several tests and methods that can be used to measure dynamic visual function: the SSC-350 FVA measurement system, assessment of best-corrected visual acuity decay using the interblink visual acuity decay test, serial measurements of ocular and corneal higher order aberrations, and measurement of dynamic vision quality using the Optical Quality Analysis System. Although the equipment for these methods may be too large or unaffordable for use in clinical practice, FVA testing is an important assessment for DED. Copyright © 2016 Elsevier Inc. All rights reserved.
Automated analysis of brachial ultrasound time series
NASA Astrophysics Data System (ADS)
Liang, Weidong; Browning, Roger L.; Lauer, Ronald M.; Sonka, Milan
1998-07-01
Atherosclerosis begins in childhood with the accumulation of lipid in the intima of arteries to form fatty streaks, advances through adult life when occlusive vascular disease may result in coronary heart disease, stroke and peripheral vascular disease. Non-invasive B-mode ultrasound has been found useful in studying risk factors in the symptom-free population. Large amount of data is acquired from continuous imaging of the vessels in a large study population. A high quality brachial vessel diameter measurement method is necessary such that accurate diameters can be measured consistently in all frames in a sequence, across different observers. Though human expert has the advantage over automated computer methods in recognizing noise during diameter measurement, manual measurement suffers from inter- and intra-observer variability. It is also time-consuming. An automated measurement method is presented in this paper which utilizes quality assurance approaches to adapt to specific image features, to recognize and minimize the noise effect. Experimental results showed the method's potential for clinical usage in the epidemiological studies.
Root, Patsy; Hunt, Margo; Fjeld, Karla; Kundrat, Laurie
2014-01-01
Quality assurance (QA) and quality control (QC) data are required in order to have confidence in the results from analytical tests and the equipment used to produce those results. Some AOAC water methods include specific QA/QC procedures, frequencies, and acceptance criteria, but these are considered to be the minimum controls needed to perform a microbiological method successfully. Some regulatory programs, such as those at Code of Federal Regulations (CFR), Title 40, Part 136.7 for chemistry methods, require additional QA/QC measures beyond those listed in the method, which can also apply to microbiological methods. Essential QA/QC measures include sterility checks, reagent specificity and sensitivity checks, assessment of each analyst's capabilities, analysis of blind check samples, and evaluation of the presence of laboratory contamination and instrument calibration and checks. The details of these procedures, their performance frequency, and expected results are set out in this report as they apply to microbiological methods. The specific regulatory requirements of CFR Title 40 Part 136.7 for the Clean Water Act, the laboratory certification requirements of CFR Title 40 Part 141 for the Safe Drinking Water Act, and the International Organization for Standardization 17025 accreditation requirements under The NELAC Institute are also discussed.
a New Approach for Accuracy Improvement of Pulsed LIDAR Remote Sensing Data
NASA Astrophysics Data System (ADS)
Zhou, G.; Huang, W.; Zhou, X.; He, C.; Li, X.; Huang, Y.; Zhang, L.
2018-05-01
In remote sensing applications, the accuracy of time interval measurement is one of the most important parameters that affect the quality of pulsed lidar data. The traditional time interval measurement technique has the disadvantages of low measurement accuracy, complicated circuit structure and large error. A high-precision time interval data cannot be obtained in these traditional methods. In order to obtain higher quality of remote sensing cloud images based on the time interval measurement, a higher accuracy time interval measurement method is proposed. The method is based on charging the capacitance and sampling the change of capacitor voltage at the same time. Firstly, the approximate model of the capacitance voltage curve in the time of flight of pulse is fitted based on the sampled data. Then, the whole charging time is obtained with the fitting function. In this method, only a high-speed A/D sampler and capacitor are required in a single receiving channel, and the collected data is processed directly in the main control unit. The experimental results show that the proposed method can get error less than 3 ps. Compared with other methods, the proposed method improves the time interval accuracy by at least 20 %.
A comprehensive method for GNSS data quality determination to improve ionospheric data analysis.
Kim, Minchan; Seo, Jiwon; Lee, Jiyun
2014-08-14
Global Navigation Satellite Systems (GNSS) are now recognized as cost-effective tools for ionospheric studies by providing the global coverage through worldwide networks of GNSS stations. While GNSS networks continue to expand to improve the observability of the ionosphere, the amount of poor quality GNSS observation data is also increasing and the use of poor-quality GNSS data degrades the accuracy of ionospheric measurements. This paper develops a comprehensive method to determine the quality of GNSS observations for the purpose of ionospheric studies. The algorithms are designed especially to compute key GNSS data quality parameters which affect the quality of ionospheric product. The quality of data collected from the Continuously Operating Reference Stations (CORS) network in the conterminous United States (CONUS) is analyzed. The resulting quality varies widely, depending on each station and the data quality of individual stations persists for an extended time period. When compared to conventional methods, the quality parameters obtained from the proposed method have a stronger correlation with the quality of ionospheric data. The results suggest that a set of data quality parameters when used in combination can effectively select stations with high-quality GNSS data and improve the performance of ionospheric data analysis.
A Comprehensive Method for GNSS Data Quality Determination to Improve Ionospheric Data Analysis
Kim, Minchan; Seo, Jiwon; Lee, Jiyun
2014-01-01
Global Navigation Satellite Systems (GNSS) are now recognized as cost-effective tools for ionospheric studies by providing the global coverage through worldwide networks of GNSS stations. While GNSS networks continue to expand to improve the observability of the ionosphere, the amount of poor quality GNSS observation data is also increasing and the use of poor-quality GNSS data degrades the accuracy of ionospheric measurements. This paper develops a comprehensive method to determine the quality of GNSS observations for the purpose of ionospheric studies. The algorithms are designed especially to compute key GNSS data quality parameters which affect the quality of ionospheric product. The quality of data collected from the Continuously Operating Reference Stations (CORS) network in the conterminous United States (CONUS) is analyzed. The resulting quality varies widely, depending on each station and the data quality of individual stations persists for an extended time period. When compared to conventional methods, the quality parameters obtained from the proposed method have a stronger correlation with the quality of ionospheric data. The results suggest that a set of data quality parameters when used in combination can effectively select stations with high-quality GNSS data and improve the performance of ionospheric data analysis. PMID:25196005
ERIC Educational Resources Information Center
Deane, Paul
2014-01-01
This paper explores automated methods for measuring features of student writing and determining their relationship to writing quality and other features of literacy, such as reading rest scores. In particular, it uses the "e-rater"™ automatic essay scoring system to measure "product" features (measurable traits of the final…
Automatic assessment of voice quality according to the GRBAS scale.
Sáenz-Lechón, Nicolás; Godino-Llorente, Juan I; Osma-Ruiz, Víctor; Blanco-Velasco, Manuel; Cruz-Roldán, Fernando
2006-01-01
Nowadays, the most extended techniques to measure the voice quality are based on perceptual evaluation by well trained professionals. The GRBAS scale is a widely used method for perceptual evaluation of voice quality. The GRBAS scale is widely used in Japan and there is increasing interest in both Europe and the United States. However, this technique needs well-trained experts, and is based on the evaluator's expertise, depending a lot on his own psycho-physical state. Furthermore, a great variability in the assessments performed from one evaluator to another is observed. Therefore, an objective method to provide such measurement of voice quality would be very valuable. In this paper, the automatic assessment of voice quality is addressed by means of short-term Mel cepstral parameters (MFCC), and learning vector quantization (LVQ) in a pattern recognition stage. Results show that this approach provides acceptable results for this purpose, with accuracy around 65% at the best.
40 CFR 50.12 - National primary and secondary ambient air quality standards for lead.
Code of Federal Regulations, 2013 CFR
2013-07-01
... air quality standards for lead. 50.12 Section 50.12 Protection of Environment ENVIRONMENTAL PROTECTION... National primary and secondary ambient air quality standards for lead. (a) National primary and secondary ambient air quality standards for lead and its compounds, measured as elemental lead by a reference method...
40 CFR 50.12 - National primary and secondary ambient air quality standards for lead.
Code of Federal Regulations, 2012 CFR
2012-07-01
... air quality standards for lead. 50.12 Section 50.12 Protection of Environment ENVIRONMENTAL PROTECTION... National primary and secondary ambient air quality standards for lead. (a) National primary and secondary ambient air quality standards for lead and its compounds, measured as elemental lead by a reference method...
40 CFR 50.12 - National primary and secondary ambient air quality standards for lead.
Code of Federal Regulations, 2011 CFR
2011-07-01
... air quality standards for lead. 50.12 Section 50.12 Protection of Environment ENVIRONMENTAL PROTECTION... National primary and secondary ambient air quality standards for lead. (a) National primary and secondary ambient air quality standards for lead and its compounds, measured as elemental lead by a reference method...
Speckle reduction in optical coherence tomography by adaptive total variation method
NASA Astrophysics Data System (ADS)
Wu, Tong; Shi, Yaoyao; Liu, Youwen; He, Chongjun
2015-12-01
An adaptive total variation method based on the combination of speckle statistics and total variation restoration is proposed and developed for reducing speckle noise in optical coherence tomography (OCT) images. The statistical distribution of the speckle noise in OCT image is investigated and measured. With the measured parameters such as the mean value and variance of the speckle noise, the OCT image is restored by the adaptive total variation restoration method. The adaptive total variation restoration algorithm was applied to the OCT images of a volunteer's hand skin, which showed effective speckle noise reduction and image quality improvement. For image quality comparison, the commonly used median filtering method was also applied to the same images to reduce the speckle noise. The measured results demonstrate the superior performance of the adaptive total variation restoration method in terms of image signal-to-noise ratio, equivalent number of looks, contrast-to-noise ratio, and mean square error.
Measuring Service Quality in Higher Education: Development of a Hierarchical Model (HESQUAL)
ERIC Educational Resources Information Center
Teeroovengadum, Viraiyan; Kamalanabhan, T. J.; Seebaluck, Ashley Keshwar
2016-01-01
Purpose: This paper aims to develop and empirically test a hierarchical model for measuring service quality in higher education. Design/methodology/approach: The first phase of the study consisted of qualitative research methods and a comprehensive literature review, which allowed the development of a conceptual model comprising 53 service quality…
Visualization of Discontinuous Galerkin Based High-Order Methods
2015-08-19
function and the reference- to physical- space mapping functions. This formulation can be used to measure the quality of a high-order element and also for...to physical- space mapping functions. This formulation can be used to measure the quality of a high-order element and also for AMR. We find that the
Quality Control of an OSCE Using Generalizability Theory and Many-Faceted Rasch Measurement
ERIC Educational Resources Information Center
Iramaneerat, Cherdsak; Yudkowsky, Rachel; Myford, Carol M.; Downing, Steven M.
2008-01-01
An Objective Structured Clinical Examination (OSCE) is an effective method for evaluating competencies. However, scores obtained from an OSCE are vulnerable to many potential measurement errors that cases, items, or standardized patients (SPs) can introduce. Monitoring these sources of errors is an important quality control mechanism to ensure…
Improvement of a Harvester Based, Multispectral, Seed Cotton Fiber Quality Sensor
USDA-ARS?s Scientific Manuscript database
A multispectral sensor for in-situ seed cotton fiber quality measurement was developed and tested at Texas A&M University. Results of initial testing of the sensor using machine harvested seed cotton have shown promise. Improvements have been made to the system and the measurement method to meet t...
Urban air quality estimation study, phase 1
NASA Technical Reports Server (NTRS)
Diamante, J. M.; Englar, T. S., Jr.; Jazwinski, A. H.
1976-01-01
Possibilities are explored for applying estimation theory to the analysis, interpretation, and use of air quality measurements in conjunction with simulation models to provide a cost effective method of obtaining reliable air quality estimates for wide urban areas. The physical phenomenology of real atmospheric plumes from elevated localized sources is discussed. A fluctuating plume dispersion model is derived. Individual plume parameter formulations are developed along with associated a priori information. Individual measurement models are developed.
Objective measures for quality assessment of automatic skin enhancement algorithms
NASA Astrophysics Data System (ADS)
Ciuc, Mihai; Capata, Adrian; Florea, Corneliu
2010-01-01
Automatic portrait enhancement by attenuating skin flaws (pimples, blemishes, wrinkles, etc.) has received considerable attention from digital camera manufacturers thanks to its impact on the public. Subsequently, a number of algorithms have been developed to meet this need. One central aspect to developing such an algorithm is quality assessment: having a few numbers that precisely indicate the amount of beautification brought by an algorithm (as perceived by human observers) is of great help, as it works on circumvent time-costly human evaluation. In this paper, we propose a method to numerically evaluate the quality of a skin beautification algorithm. The most important aspects we take into account and quantize to numbers are the quality of the skin detector, the amount of smoothing performed by the method, the preservation of intrinsic skin texture, and the preservation of facial features. We combine these measures into two numbers that assess the quality of skin detection and beautification. The derived measures are highly correlated with human perception, therefore they constitute a helpful tool for tuning and comparing algorithms.
Linking quality indicators to clinical trials: an automated approach
Coiera, Enrico; Choong, Miew Keen; Tsafnat, Guy; Hibbert, Peter; Runciman, William B.
2017-01-01
Abstract Objective Quality improvement of health care requires robust measurable indicators to track performance. However identifying which indicators are supported by strong clinical evidence, typically from clinical trials, is often laborious. This study tests a novel method for automatically linking indicators to clinical trial registrations. Design A set of 522 quality of care indicators for 22 common conditions drawn from the CareTrack study were automatically mapped to outcome measures reported in 13 971 trials from ClinicalTrials.gov. Intervention Text mining methods extracted phrases mentioning indicators and outcome phrases, and these were compared using the Levenshtein edit distance ratio to measure similarity. Main Outcome Measure Number of care indicators that mapped to outcome measures in clinical trials. Results While only 13% of the 522 CareTrack indicators were thought to have Level I or II evidence behind them, 353 (68%) could be directly linked to randomized controlled trials. Within these 522, 50 of 70 (71%) Level I and II evidence-based indicators, and 268 of 370 (72%) Level V (consensus-based) indicators could be linked to evidence. Of the indicators known to have evidence behind them, only 5.7% (4 of 70) were mentioned in the trial reports but were missed by our method. Conclusions We automatically linked indicators to clinical trial registrations with high precision. Whilst the majority of quality indicators studied could be directly linked to research evidence, a small portion could not and these require closer scrutiny. It is feasible to support the process of indicator development using automated methods to identify research evidence. PMID:28651340
Timmermann, Carsten
2013-01-01
Objectives: To use the history of the Karnofsky Performance Scale as a case study illustrating the emergence of interest in the measurement and standardisation of quality of life; to understand the origins of current-day practices. Methods: Articles referring to the Karnofsky scale and quality of life measurements published from the 1940s to the 1990s were identified by searching databases and screening journals, and analysed using close-reading techniques. Secondary literature was consulted to understand the context in which articles were written. Results: The Karnofsky scale was devised for a different purpose than measuring quality of life: as a standardisation device that helped quantify effects of chemotherapeutic agents less easily measurable than survival time. Interest in measuring quality of life only emerged around 1970. Discussion: When quality of life measurements were increasingly widely discussed in the medical press from the late 1970s onwards, a consensus emerged that the Karnofsky scale was not a very good tool. More sophisticated approaches were developed, but Karnofsky continued to be used. I argue that the scale provided a quick and simple, approximate assessment of the ‘soft’ effects of treatment by physicians, overlapping but not identical with quality of life. PMID:23239756
Du, Yongzhao; Fu, Yuqing; Zheng, Lixin
2016-12-20
A real-time complex amplitude reconstruction method for determining the dynamic beam quality M2 factor based on a Mach-Zehnder self-referencing interferometer wavefront sensor is developed. By using the proposed complex amplitude reconstruction method, full characterization of the laser beam, including amplitude (intensity profile) and phase information, can be reconstructed from a single interference pattern with the Fourier fringe pattern analysis method in a one-shot measurement. With the reconstructed complex amplitude, the beam fields at any position z along its propagation direction can be obtained by first utilizing the diffraction integral theory. Then the beam quality M2 factor of the dynamic beam is calculated according to the specified method of the Standard ISO11146. The feasibility of the proposed method is demonstrated with the theoretical analysis and experiment, including the static and dynamic beam process. The experimental method is simple, fast, and operates without movable parts and is allowed in order to investigate the laser beam in inaccessible conditions using existing methods.
Nebraska's forests, 2005: statistics, methods, and quality assurance
Patrick D. Miles; Dacia M. Meneguzzo; Charles J. Barnett
2011-01-01
The first full annual inventory of Nebraska's forests was completed in 2005 after 8,335 plots were selected and 274 forested plots were visited and measured. This report includes detailed information on forest inventory methods, and data quality estimates. Tables of various important resource statistics are presented. Detailed analysis of the inventory data are...
Kansas's forests, 2005: statistics, methods, and quality assurance
Patrick D. Miles; W. Keith Moser; Charles J. Barnett
2011-01-01
The first full annual inventory of Kansas's forests was completed in 2005 after 8,868 plots were selected and 468 forested plots were visited and measured. This report includes detailed information on forest inventory methods and data quality estimates. Important resource statistics are included in the tables. A detailed analysis of Kansas inventory is presented...
NASA Astrophysics Data System (ADS)
Leeper, R. D.; Kochendorfer, J.
2015-06-01
Evaporation from a precipitation gauge can cause errors in the amount of measured precipitation. For automated weighing-bucket gauges, the World Meteorological Organization (WMO) suggests the use of evaporative suppressants and frequent observations to limit these biases. However, the use of evaporation suppressants is not always feasible due to environmental hazards and the added cost of maintenance, transport, and disposal of the gauge additive. In addition, research has suggested that evaporation prior to precipitation may affect precipitation measurements from auto-recording gauges operating at sub-hourly frequencies. For further evaluation, a field campaign was conducted to monitor evaporation and its impacts on the quality of precipitation measurements from gauges used at U.S. Climate Reference Network (USCRN) stations. Two Geonor gauges were collocated, with one gauge using an evaporative suppressant (referred to as Geonor-NonEvap) and the other with no suppressant (referred to as Geonor-Evap) to evaluate evaporative losses and evaporation biases on precipitation measurements. From June to August, evaporative losses from the Geonor-Evap gauge exceeded accumulated precipitation, with an average loss of 0.12 mm h-1. The impact of evaporation on precipitation measurements was sensitive to the choice of calculation method. In general, the pairwise method that utilized a longer time series to smooth out sensor noise was more sensitive to gauge evaporation (-4.6% bias with respect to control) than the weighted-average method that calculated depth change over a smaller window (<+1% bias). These results indicate that while climate and gauge design affect gauge evaporation rates, computational methods also influence the magnitude of evaporation biases on precipitation measurements. This study can be used to advance quality insurance (QA) techniques used in other automated networks to mitigate the impact of evaporation biases on precipitation measurements.
Design, analysis, and interpretation of field quality-control data for water-sampling projects
Mueller, David K.; Schertz, Terry L.; Martin, Jeffrey D.; Sandstrom, Mark W.
2015-01-01
The report provides extensive information about statistical methods used to analyze quality-control data in order to estimate potential bias and variability in environmental data. These methods include construction of confidence intervals on various statistical measures, such as the mean, percentiles and percentages, and standard deviation. The methods are used to compare quality-control results with the larger set of environmental data in order to determine whether the effects of bias and variability might interfere with interpretation of these data. Examples from published reports are presented to illustrate how the methods are applied, how bias and variability are reported, and how the interpretation of environmental data can be qualified based on the quality-control analysis.
Linking land cover and water quality in New York City's water supply watersheds.
Mehaffey, M H; Nash, M S; Wade, T G; Ebert, D W; Jones, K B; Rager, A
2005-08-01
The Catskill/Delaware reservoirs supply 90% of New York City's drinking water. The City has implemented a series of watershed protection measures, including land acquisition, aimed at preserving water quality in the Catskill/Delaware watersheds. The objective of this study was to examine how relationships between landscape and surface water measurements change between years. Thirty-two drainage areas delineated from surface water sample points (total nitrogen, total phosphorus, and fecal coliform bacteria concentrations) were used in step-wise regression analyses to test landscape and surface-water quality relationships. Two measurements of land use, percent agriculture and percent urban development, were positively related to water quality and consistently present in all regression models. Together these two land uses explained 25 to 75% of the regression model variation. However, the contribution of agriculture to water quality condition showed a decreasing trend with time as overall agricultural land cover decreased. Results from this study demonstrate that relationships between land cover and surface water concentrations of total nitrogen, total phosphorus, and fecal coliform bacteria counts over a large area can be evaluated using a relatively simple geographic information system method. Land managers may find this method useful for targeting resources in relation to a particular water quality concern, focusing best management efforts, and maximizing benefits to water quality with minimal costs.
Adherence to outpatient epilepsy quality indicators at a tertiary epilepsy center
Pourdeyhimi, R.; Wolf, B.J.; Simpson, A.N.; Martz, G.U.
2014-01-01
Introduction Quality indicators for the treatment of people with epilepsy were published in 2010. This is the first report of adherence to all measures in routine care of people with epilepsy at a level 4 comprehensive epilepsy center in the US. Methods Two hundred patients with epilepsy were randomly selected from the clinics of our comprehensive epilepsy center, and all visits during 2011 were abstracted for documentation of adherence to the eight quality indicators. Alternative measures were constructed to evaluate failure of adherence. Detailed descriptions of all equations are provided. Results Objective measures (EEG, imaging) showed higher adherence than counseling measures (safety). Initial visits showed higher adherence. Variations in the interpretation of the quality measure result in different adherence values. Advanced practice providers and physicians had different adherence patterns. No patient-specific patterns of adherence were seen. Discussion This is the first report of adherence to all the epilepsy quality indicators for a sample of patients during routine care in a level 4 epilepsy center in the US. Overall adherence was similar to that previously reported on similar measures. Precise definitions of adherence equations are essential for accurate measurement. Complex measures result in lower adherence. Counseling measures showed low adherence, possibly highlighting a difference between practice and documentation. Adherence to the measures as written does not guarantee high quality care. Conclusion The current quality indicators have value in the process of improving quality of care. Future approaches may be refined to eliminate complex measures and incorporate features linked to outcomes. PMID:25171260
Assessment of sound quality perception in cochlear implant users during music listening.
Roy, Alexis T; Jiradejvong, Patpong; Carver, Courtney; Limb, Charles J
2012-04-01
Although cochlear implant (CI) users frequently report deterioration of sound quality when listening to music, few methods exist to quantify these subjective claims. 1) To design a novel research method for quantifying sound quality perception in CI users during music listening; 2) To validate this method by assessing one attribute of music perception, bass frequency perception, which is hypothesized to be relevant to overall musical sound quality perception. Limitations in bass frequency perception contribute to CI-mediated sound quality deteriorations. The proposed method will quantify this deterioration by measuring CI users' impaired ability to make sound quality discriminations among musical stimuli with variable amounts of bass frequency removal. A method commonly used in the audio industry (multiple stimulus with hidden reference and anchor [MUSHRA]) was adapted for CI users, referred to as CI-MUSHRA. CI users and normal hearing controls were presented with 7 sound quality versions of a musical segment: 5 high pass filter cutoff versions (200-, 400-, 600-, 800-, 1000-Hz) with decreasing amounts of bass information, an unaltered version ("hidden reference"), and a highly altered version (1,000-1,200 Hz band pass filter; "anchor"). Participants provided sound quality ratings between 0 (very poor) and 100 (excellent) for each version; ratings reflected differences in perceived sound quality among stimuli. CI users had greater difficulty making overall sound quality discriminations as a function of bass frequency loss than normal hearing controls, as demonstrated by a significantly weaker correlation between bass frequency content and sound quality ratings. In particular, CI users could not perceive sound quality difference among stimuli missing up to 400 Hz of bass frequency information. Bass frequency impairments contribute to sound quality deteriorations during music listening for CI users. CI-MUSHRA provided a systematic and quantitative assessment of this reduced sound quality. Although the effects of bass frequency removal were studied here, we advocate CI-MUSHRA as a user-friendly and versatile research tool to measure the effects of a wide range of acoustic manipulations on sound quality perception in CI users.
Objective measurement of the optical image quality in the human eye
NASA Astrophysics Data System (ADS)
Navarro, Rafael M.
2001-05-01
This communication reviews some recent studies on the optical performance of the human eye. Although the retinal image cannot be recorded directly, different objective methods have been developed, which permit to determine optical quality parameters, such as the Point Spread Function (PSF), the Modulation Transfer Function (MTF), the geometrical ray aberrations or the wavefront distortions, in the living human eye. These methods have been applied in both basic and applied research. This includes the measurement of the optical performance of the eye across visual field, the optical quality of eyes with intraocular lens implants, the aberrations induced by LASIK refractive surgery, or the manufacture of customized phase plates to compensate the wavefront aberration in the eye.
A research agenda to advance quality measurement and improvement.
Leatherman, Sheila T; Hibbard, Judith H; McGlynn, Elizabeth A
2003-01-01
In developing a conceptual framework for the design of a national quality measurement and reporting system (NQMRS), the Strategic Framework Board (SFB) recommends that such a system be built on a strong evidence base. To identify critical gaps in the evidence needed for a fully functional NQMRS and to recommend a starting point for the development of a research agenda. Selective review of literature in quality of care measurement and reporting and identification of strategic issues that must be addressed. There is some limited evidence that measurement and reporting can improve quality. Substantial advances have been made in the science of measurement and reporting but important gaps remain, specifically in (1) measurement methods and tools, (2) uses of quality performance data, (3) organizational and cultural factors, (4) information and informatics, and (5) impact evaluation/research. To achieve a sustainable research agenda, three strategic issues will have to be addressed: (1) the policy rationale for the research agenda, (2) adequate levels of public-sector funding, and (3) sustainability in a rapidly changing environment.
Salari, Marjan; Salami Shahid, Esmaeel; Afzali, Seied Hosein; Ehteshami, Majid; Conti, Gea Oliveri; Derakhshan, Zahra; Sheibani, Solmaz Nikbakht
2018-04-22
Today, due to the increase in the population, the growth of industry and the variety of chemical compounds, the quality of drinking water has decreased. Five important river water quality properties such as: dissolved oxygen (DO), total dissolved solids (TDS), total hardness (TH), alkalinity (ALK) and turbidity (TU) were estimated by parameters such as: electric conductivity (EC), temperature (T), and pH that could be measured easily with almost no costs. Simulate water quality parameters were examined with two methods of modeling include mathematical and Artificial Neural Networks (ANN). Mathematical methods are based on polynomial fitting with least square method and ANN modeling algorithms are feed-forward networks. All conditions/circumstances covered by neural network modeling were tested for all parameters in this study, except for Alkalinity. All optimum ANN models developed to simulate water quality parameters had precision value as R-value close to 0.99. The ANN model extended to simulate alkalinity with R-value equals to 0.82. Moreover, Surface fitting techniques were used to refine data sets. Presented models and equations are reliable/useable tools for studying water quality parameters at similar rivers, as a proper replacement for traditional water quality measuring equipment's. Copyright © 2018 Elsevier Ltd. All rights reserved.
Li, Y; Zheng, G; Lin, H
2014-12-18
To develop a new kind of dental radiographic image quality indicator (IQI) for internal quality of casting metallic restoration to influence on its usage life. Radiographic image quality indicator method was used to evaluate the depth of the defects region and internal quality of 127 casting metallic restoration and the accuracy was compared with that of conventional callipers method. In the 127 cases of casting metallic restoration, 9 were found the thickness less than 0.7 mm and the thinnest thickness only 0.2 mm in 26 casting metallic crowns or bridges' occlusal defects region. The data measured by image quality indicator were consistent with those measured by conventional gauging. Two metal inner crowns were found the thickness less than 0.3 mm in 56 porcelain crowns or bridges. The thickness of casting removable partial denture was more than 1.0 mm, but thinner regions were not found. It was found that in a titanium partial denture, the X-ray image of clasp was not uniform and there were internal porosity defects in the clasp. Special dental image quality indicator can solve the visual error problems caused by different observing backgrounds and estimate the depth of the defects region in the casting.
New CVD-based method for the growth of high-quality crystalline zinc oxide layers
NASA Astrophysics Data System (ADS)
Huber, Florian; Madel, Manfred; Reiser, Anton; Bauer, Sebastian; Thonke, Klaus
2016-07-01
High-quality zinc oxide (ZnO) layers were grown using a new chemical vapour deposition (CVD)-based low-cost growth method. The process is characterized by total simplicity, high growth rates, and cheap, less hazardous precursors. To produce elementary zinc vapour, methane (CH4) is used to reduce a ZnO powder. By re-oxidizing the zinc with pure oxygen, highly crystalline ZnO layers were grown on gallium nitride (GaN) layers and on sapphire substrates with an aluminum nitride (AlN) nucleation layer. Using simple CH4 as precursor has the big advantage of good controllability and the avoidance of highly toxic gases like nitrogen oxides. In photoluminescence (PL) measurements the samples show a strong near-band-edge emission and a sharp line width at 5 K. The good crystal quality has been confirmed in high resolution X-ray diffraction (HRXRD) measurements. This new growth method has great potential for industrial large-scale production of high-quality single crystal ZnO layers.
Diffuse prior monotonic likelihood ratio test for evaluation of fused image quality measures.
Wei, Chuanming; Kaplan, Lance M; Burks, Stephen D; Blum, Rick S
2011-02-01
This paper introduces a novel method to score how well proposed fused image quality measures (FIQMs) indicate the effectiveness of humans to detect targets in fused imagery. The human detection performance is measured via human perception experiments. A good FIQM should relate to perception results in a monotonic fashion. The method computes a new diffuse prior monotonic likelihood ratio (DPMLR) to facilitate the comparison of the H(1) hypothesis that the intrinsic human detection performance is related to the FIQM via a monotonic function against the null hypothesis that the detection and image quality relationship is random. The paper discusses many interesting properties of the DPMLR and demonstrates the effectiveness of the DPMLR test via Monte Carlo simulations. Finally, the DPMLR is used to score FIQMs with test cases considering over 35 scenes and various image fusion algorithms.
Fruit Quality Evaluation Using Spectroscopy Technology: A Review
Wang, Hailong; Peng, Jiyu; Xie, Chuanqi; Bao, Yidan; He, Yong
2015-01-01
An overview is presented with regard to applications of visible and near infrared (Vis/NIR) spectroscopy, multispectral imaging and hyperspectral imaging techniques for quality attributes measurement and variety discrimination of various fruit species, i.e., apple, orange, kiwifruit, peach, grape, strawberry, grape, jujube, banana, mango and others. Some commonly utilized chemometrics including pretreatment methods, variable selection methods, discriminant methods and calibration methods are briefly introduced. The comprehensive review of applications, which concentrates primarily on Vis/NIR spectroscopy, are arranged according to fruit species. Most of the applications are focused on variety discrimination or the measurement of soluble solids content (SSC), acidity and firmness, but also some measurements involving dry matter, vitamin C, polyphenols and pigments have been reported. The feasibility of different spectral modes, i.e., reflectance, interactance and transmittance, are discussed. Optimal variable selection methods and calibration methods for measuring different attributes of different fruit species are addressed. Special attention is paid to sample preparation and the influence of the environment. Areas where further investigation is needed and problems concerning model robustness and model transfer are identified. PMID:26007736
Factors affecting dental service quality.
Bahadori, Mohammadkarim; Raadabadi, Mehdi; Ravangard, Ramin; Baldacchino, Donia
2015-01-01
Measuring dental clinic service quality is the first and most important factor in improving care. The quality provided plays an important role in patient satisfaction. The purpose of this paper is to identify factors affecting dental service quality from the patients' viewpoint. This cross-sectional, descriptive-analytical study was conducted in a dental clinic in Tehran between January and June 2014. A sample of 385 patients was selected from two work shifts using stratified sampling proportional to size and simple random sampling methods. The data were collected, a self-administered questionnaire designed for the purpose of the study, based on the Parasuraman and Zeithaml's model of service quality which consisted of two parts: the patients' demographic characteristics and a 30-item questionnaire to measure the five dimensions of the service quality. The collected data were analysed using SPSS 21.0 and Amos 18.0 through some descriptive statistics such as mean, standard deviation, as well as analytical methods, including confirmatory factor. Results showed that the correlation coefficients for all dimensions were higher than 0.5. In this model, assurance (regression weight=0.99) and tangibility (regression weight=0.86) had, respectively, the highest and lowest effects on dental service quality. The Parasuraman and Zeithaml's model is suitable to measure quality in dental services. The variables related to dental services quality have been made according to the model. This is a pioneering study that uses Parasuraman and Zeithaml's model and CFA in a dental setting. This study provides useful insights and guidance for dental service quality assurance.
Child-Report Measures of Occupational Performance: A Systematic Review
Totino, Rebekah; Doma, Kenji; Leicht, Anthony; Brown, Nicole; Cuomo, Belinda
2016-01-01
Introduction Improving occupational performance is a key service of occupational therapists and client-centred approach to care is central to clinical practice. As such it is important to comprehensively evaluate the quality of psychometric properties reported across measures of occupational performance; in order to guide assessment and treatment planning. Objective To systematically review the literature on the psychometric properties of child-report measures of occupational performance for children ages 2–18 years. Methods A systematic search of the following six electronic databases was conducted: CINAHL; PsycINFO; EMBASE; PubMed; the Health and Psychosocial Instruments (HAPI) database; and Google Scholar. The quality of the studies was evaluated against the COSMIN taxonomy of measurement properties and the overall quality of psychometric properties was evaluated using pre-set psychometric criteria. Results Fifteen articles and one manual were reviewed to assess the psychometric properties of the six measures–the PEGS, MMD, CAPE, PAC, COSA, and OSA- which met the inclusion criteria. Most of the measures had conducted good quality studies to evaluate the psychometric properties of measures (PEGS, CAPE, PAC, OSA); however, the quality of the studies for two of these measures was relatively weak (MMD, COSA). When integrating the quality of the psychometric properties of the measures with the quality of the studies, the PAC stood out as having superior psychometric qualities. Conclusions The overall quality of the psychometric properties of most measures was limited. There is a need for continuing research into the psychometric properties of child-report measures of occupational performance, and to revise and improve the psychometric properties of existing measures. PMID:26808674
A quality quantitative method of silicon direct bonding based on wavelet image analysis
NASA Astrophysics Data System (ADS)
Tan, Xiao; Tao, Zhi; Li, Haiwang; Xu, Tiantong; Yu, Mingxing
2018-04-01
The rapid development of MEMS (micro-electro-mechanical systems) has received significant attention from researchers in various fields and subjects. In particular, the MEMS fabrication process is elaborate and, as such, has been the focus of extensive research inquiries. However, in MEMS fabrication, component bonding is difficult to achieve and requires a complex approach. Thus, improvements in bonding quality are relatively important objectives. A higher quality bond can only be achieved with improved measurement and testing capabilities. In particular, the traditional testing methods mainly include infrared testing, tensile testing, and strength testing, despite the fact that using these methods to measure bond quality often results in low efficiency or destructive analysis. Therefore, this paper focuses on the development of a precise, nondestructive visual testing method based on wavelet image analysis that is shown to be highly effective in practice. The process of wavelet image analysis includes wavelet image denoising, wavelet image enhancement, and contrast enhancement, and as an end result, can display an image with low background noise. In addition, because the wavelet analysis software was developed with MATLAB, it can reveal the bonding boundaries and bonding rates to precisely indicate the bond quality at all locations on the wafer. This work also presents a set of orthogonal experiments that consist of three prebonding factors, the prebonding temperature, the positive pressure value and the prebonding time, which are used to analyze the prebonding quality. This method was used to quantify the quality of silicon-to-silicon wafer bonding, yielding standard treatment quantities that could be practical for large-scale use.
Sindhwani, Geetika; Gupta, Monica; Arora, Sweta; Mishra, Arpita; Bhatt, Jayesh; Arora, Manali; Gehani, Anisha
2017-01-01
Introduction An organization’s transformation from imple-mentation of small, distinct Quality Improvement (QI) efforts to complete incorporation of Quality Improvement Program (QIP) into its culture occurs through a process of churning the foundational elements over time. Aim To develop a quality culture across the employees, identify measurable indicators and various tools to impart effective quality care and develop a learning culture for continuous quality improvement in the field of imaging services. Materials and Methods To establish a QIP, the bare minimum requirement started with forming a quality committee. The committee identified the areas of improvement and ascertaining the core principle of Quality Management System (QMS) by having a Quality Manual, Standard Operating Procedures (SOP’s), work-instructions, identification and monitoring of quality indicators and a training calendar. Appropriate tools like formatted daily registers, periodic check lists, run charts etc., were developed to collect the data followed by multiple PDSA cycles (Plan, Do, Study and Act) which helped identify the process bottlenecks, followed by implementing solutions and reanalysis. Results A total of 17 measurable key performance indicators were identified from the four major quality tasks namely Safety, Process Improvement, Professional Outcome and Satisfaction, to assess the performance measures and targets of QIP. Conclusion Diagnostic services should evaluate how to choose the most appropriate method and develop a comprehensive QIP to meet the needs of the staff and the end users, thus, creating a working environment, where people constitutes the intrinsic value in attaining the ultimate quality and safety. PMID:28969238
Nonlinear analysis and dynamic compensation of stylus scanning measurement with wide range
NASA Astrophysics Data System (ADS)
Hui, Heiyang; Liu, Xiaojun; Lu, Wenlong
2011-12-01
Surface topography is an important geometrical feature of a workpiece that influences its quality and functions such as friction, wearing, lubrication and sealing. Precision measurement of surface topography is fundamental for product quality characterizing and assurance. Stylus scanning technique is a widely used method for surface topography measurement, and it is also regarded as the international standard method for 2-D surface characterizing. Usually surface topography, including primary profile, waviness and roughness, can be measured precisely and efficiently by this method. However, by stylus scanning method to measure curved surface topography, the nonlinear error is unavoidable because of the difference of horizontal position of the actual measured point from given sampling point and the nonlinear transformation process from vertical displacement of the stylus tip to angle displacement of the stylus arm, and the error increases with the increasing of measuring range. In this paper, a wide range stylus scanning measurement system based on cylindrical grating interference principle is constructed, the originations of the nonlinear error are analyzed, the error model is established and a solution to decrease the nonlinear error is proposed, through which the error of the collected data is dynamically compensated.
Fluorescence based spectral assessment of pork meat freshness
USDA-ARS?s Scientific Manuscript database
Development of sensitive, nondestructive measurement methods for meat freshness is necessary to ensure safe distribution of meat products in the continually growing meat market. Fluorescence spectral technology has been shown to be a promising measurement method for quality and safety evaluation of ...
Carnegie Knowledge Network Concluding Recommendations. What We Know Series
ERIC Educational Resources Information Center
Goldhaber, Dan; Harris Douglas N.; Loeb, Susanna; McCaffrey, Daniel F.; Raudenbush, Stephen W.
2015-01-01
It is common knowledge that teacher quality is a key in-school factor affecting student achievement. While the quality of teaching clearly matters for how much students learn, this quality is challenging to measure. Evaluating teacher quality based on the level of their students' end-of-year test scores has been one method of assessing…
Harvested rainwater quality before and after treatment in six full-scale residential systems
Rainwater harvesting (RWH) is an alternative method of providing water for indoor domestic use, but the water quality after treatment and distribution at individual residences is not well documented. In this study, water quality parameters were measured at the cistern and indoor ...
Irregular analytical errors in diagnostic testing - a novel concept.
Vogeser, Michael; Seger, Christoph
2018-02-23
In laboratory medicine, routine periodic analyses for internal and external quality control measurements interpreted by statistical methods are mandatory for batch clearance. Data analysis of these process-oriented measurements allows for insight into random analytical variation and systematic calibration bias over time. However, in such a setting, any individual sample is not under individual quality control. The quality control measurements act only at the batch level. Quantitative or qualitative data derived for many effects and interferences associated with an individual diagnostic sample can compromise any analyte. It is obvious that a process for a quality-control-sample-based approach of quality assurance is not sensitive to such errors. To address the potential causes and nature of such analytical interference in individual samples more systematically, we suggest the introduction of a new term called the irregular (individual) analytical error. Practically, this term can be applied in any analytical assay that is traceable to a reference measurement system. For an individual sample an irregular analytical error is defined as an inaccuracy (which is the deviation from a reference measurement procedure result) of a test result that is so high it cannot be explained by measurement uncertainty of the utilized routine assay operating within the accepted limitations of the associated process quality control measurements. The deviation can be defined as the linear combination of the process measurement uncertainty and the method bias for the reference measurement system. Such errors should be coined irregular analytical errors of the individual sample. The measurement result is compromised either by an irregular effect associated with the individual composition (matrix) of the sample or an individual single sample associated processing error in the analytical process. Currently, the availability of reference measurement procedures is still highly limited, but LC-isotope-dilution mass spectrometry methods are increasingly used for pre-market validation of routine diagnostic assays (these tests also involve substantial sets of clinical validation samples). Based on this definition/terminology, we list recognized causes of irregular analytical error as a risk catalog for clinical chemistry in this article. These issues include reproducible individual analytical errors (e.g. caused by anti-reagent antibodies) and non-reproducible, sporadic errors (e.g. errors due to incorrect pipetting volume due to air bubbles in a sample), which can both lead to inaccurate results and risks for patients.
Nordey, Thibault; Léchaudel, Mathieu; Génard, Michel; Joas, Jacques
2014-11-01
Managing fruit quality is complex because many different attributes have to be taken into account, which are themselves subjected to spatial and temporal variations. Heterogeneous fruit quality has been assumed to be partly related to temperature and maturity gradients within the fruit. To test this assumption, we measured the spatial variability of certain mango fruit quality traits: colour of the peel and of the flesh, and sourness and sweetness, at different stages of fruit maturity using destructive methods as well as vis-NIR reflectance. The spatial variability of mango quality traits was compared to internal variations in thermal time, simulated by a physical model, and to internal variations in maturity, using ethylene content as an indicator. All the fruit quality indicators analysed showed significant spatial and temporal variations, regardless of the measurement method used. The heterogeneity of internal fruit quality traits was not correlated with the marked internal temperature gradient we modelled. However, variations in ethylene content revealed a strong internal maturity gradient which was correlated with the spatial variations in measured mango quality traits. Nonetheless, alone, the internal maturity gradient did not explain the variability of fruit quality traits, suggesting that other factors, such as gas, abscisic acid and water gradients, are also involved. Copyright © 2014 Elsevier GmbH. All rights reserved.
Batt, Angela L; Furlong, Edward T; Mash, Heath E; Glassmeyer, Susan T; Kolpin, Dana W
2017-02-01
A national-scale survey of 247 contaminants of emerging concern (CECs), including organic and inorganic chemical compounds, and microbial contaminants, was conducted in source and treated drinking water samples from 25 treatment plants across the United States. Multiple methods were used to determine these CECs, including six analytical methods to measure 174 pharmaceuticals, personal care products, and pesticides. A three-component quality assurance/quality control (QA/QC) program was designed for the subset of 174 CECs which allowed us to assess and compare performances of the methods used. The three components included: 1) a common field QA/QC protocol and sample design, 2) individual investigator-developed method-specific QA/QC protocols, and 3) a suite of 46 method comparison analytes that were determined in two or more analytical methods. Overall method performance for the 174 organic chemical CECs was assessed by comparing spiked recoveries in reagent, source, and treated water over a two-year period. In addition to the 247 CECs reported in the larger drinking water study, another 48 pharmaceutical compounds measured did not consistently meet predetermined quality standards. Methodologies that did not seem suitable for these analytes are overviewed. The need to exclude analytes based on method performance demonstrates the importance of additional QA/QC protocols. Published by Elsevier B.V.
2011-01-01
Background Primary care can play an important role in providing cardiovascular risk management in patients with established Cardiovascular Diseases (CVD), patients with a known high risk of developing CVD, and potentially for individuals with a low risk of developing CVD, but who have unhealthy lifestyles. To describe and compare cardiovascular risk management, internationally valid quality indicators and standardized measures are needed. As part of a large project in 9 European countries (EPA-Cardio), we have developed and tested a set of standardized measures, linked to previously developed quality indicators. Methods A structured stepwise procedure was followed to develop measures. First, the research team allocated 106 validated quality indicators to one of the three target populations (established CVD, at high risk, at low risk) and to different data-collection methods (data abstraction from the medical records, a patient survey, an interview with lead practice GP/a practice survey). Secondly, we selected a number of other validated measures to enrich the assessment. A pilot study was performed to test the feasibility. Finally, we revised the measures based on the findings. Results The EPA-Cardio measures consisted of abstraction forms from the medical-records data of established Coronary Heart Disease (CHD)-patients - and high-risk groups, a patient questionnaire for each of the 3 groups, an interview questionnaire for the lead GP and a questionnaire for practice teams. The measures were feasible and accepted by general practices from different countries. Conclusions An internationally standardized measure of cardiovascular risk management, linked to validated quality indicators and tested for feasibility in general practice, is now available. Careful development and pilot testing of the measures are crucial in international studies of quality of healthcare. PMID:21473758
Hammerle, Albin; Haslwanter, Alois; Schmitt, Michael; Bahn, Michael; Tappeiner, Ulrike; Cernusca, Alexander; Wohlfahrt, Georg
2014-01-01
Carbon dioxide, latent and sensible energy fluxes were measured by means of the eddy covariance method above a mountain meadow situated on a steep slope in the Stubai Valley/Austria, based on the hypothesis that, due to the low canopy height, measurements can be made in the shallow equilibrium layer where the wind field exhibits characteristics akin to level terrain. In order to test the validity of this hypothesis and to identify effects of complex terrain in the turbulence measurements, data were subjected to a rigorous testing procedure using a series of quality control measures established for surface layer flows. The resulting high-quality data set comprised 36 % of the original observations, the substantial reduction being mainly due to a change in surface roughness and associated fetch limitations in the wind sector dominating during nighttime and transition periods. The validity of the high-quality data set was further assessed by two independent tests: i) a comparison with the net ecosystem carbon dioxide exchange measured by means of ecosystem chambers and ii) the ability of the eddy covariance measurements to close the energy balance. The net ecosystem CO2 exchange measured by the eddy covariance method agreed reasonably with ecosystem chamber measurements. The assessment of the energy balance closure showed that there was no significant difference in the correspondence between the meadow on the slope and another one situated on flat ground at the bottom of the Stubai Valley, available energy being underestimated by 28 and 29 %, respectively. We thus conclude that, appropriate quality control provided, the eddy covariance measurements made above a mountain meadow on a steep slope are of similar quality as compared to flat terrain. PMID:24465032
Perceived Quality of Life in Mothers of Children with Fragile X Syndrome
ERIC Educational Resources Information Center
Wheeler, Anne C.; Skinner, Debra G.; Bailey, Donald B.
2008-01-01
A mixed method approach was used to explore quality of life of 101 mothers of children with fragile X syndrome. Mothers completed a self-report of personal quality of life and measures of mental health and well-being. A subset was interviewed about quality of life. The distribution of scores on the Quality of Life Inventory was similar to the…
Castle, Nicholas G; Anderson, Ruth A
2011-06-01
There is inconclusive evidence that nursing home caregiver staffing characteristics influence quality of care. In this research, the relationship of caregiver staffing levels, turnover, agency use, and professional staff mix with quality is further examined using a longitudinal analysis to overcome weaknesses of earlier research. The data used came from a survey of nursing home administrators, Nursing Home Compare, the Online Survey Certification and Reporting data, and the Area Resource File. The staffing variables of Registered Nurses, Licensed Practical Nurses, and Nurse Aides were measured quarterly from 2003 through 2007, and came from 2839 facilities. Generalized method of moments estimation was used to examine the effects of changes in staffing characteristics on changes in 4 quality measures (physical restraint use, catheter use, pain management, and pressure sores). Regression analyses show a robust association between the staffing characteristic variables and quality indicators. A change to more favorable staffing is generally associated with a change to better quality. With longitudinal information and quarterly staffing information, we are able to show that for many nursing homes improving staffing characteristics will improve quality of care.
Towards a model for the measurement of data quality in websites
NASA Astrophysics Data System (ADS)
Leite, Patrícia; Gonçalves, Joaquim; Teixeira, Paulo; Rocha, Álvaro
2014-10-01
Websites are, nowadays, the face of institutions, but they are often neglected, especially when it comes to contents. In the present paper, we put forth an investigation work whose final goal is the development of a model for the measurement of data quality in institutional websites for health units. To that end, we have carried out a bibliographic review of the available approaches for the evaluation of website content quality, in order to identify the most recurrent dimensions and the attributes, and we are currently carrying out a Delphi Method process, presently in its second stage, with the purpose of reaching an adequate set of attributes for the measurement of content quality.
NASA Astrophysics Data System (ADS)
Kostyuchenko, Yuriy V.; Sztoyka, Yulia; Kopachevsky, Ivan; Artemenko, Igor; Yuschenko, Maxim
2017-10-01
Multi-model approach for remote sensing data processing and interpretation is described. The problem of satellite data utilization in multi-modeling approach for socio-ecological risks assessment is formally defined. Observation, measurement and modeling data utilization method in the framework of multi-model approach is described. Methodology and models of risk assessment in framework of decision support approach are defined and described. Method of water quality assessment using satellite observation data is described. Method is based on analysis of spectral reflectance of aquifers. Spectral signatures of freshwater bodies and offshores are analyzed. Correlations between spectral reflectance, pollutions and selected water quality parameters are analyzed and quantified. Data of MODIS, MISR, AIRS and Landsat sensors received in 2002-2014 have been utilized verified by in-field spectrometry and lab measurements. Fuzzy logic based approach for decision support in field of water quality degradation risk is discussed. Decision on water quality category is making based on fuzzy algorithm using limited set of uncertain parameters. Data from satellite observations, field measurements and modeling is utilizing in the framework of the approach proposed. It is shown that this algorithm allows estimate water quality degradation rate and pollution risks. Problems of construction of spatial and temporal distribution of calculated parameters, as well as a problem of data regularization are discussed. Using proposed approach, maps of surface water pollution risk from point and diffuse sources are calculated and discussed.
ERIC Educational Resources Information Center
Mashburn, Andrew J.; Meyer, J. Patrick; Allen, Joseph P.; Pianta, Robert C.
2014-01-01
Observational methods are increasingly being used in classrooms to evaluate the quality of teaching. Operational procedures for observing teachers are somewhat arbitrary in existing measures and vary across different instruments. To study the effect of different observation procedures on score reliability and validity, we conducted an experimental…
Water quality parameter measurement using spectral signatures
NASA Technical Reports Server (NTRS)
White, P. E.
1973-01-01
Regression analysis is applied to the problem of measuring water quality parameters from remote sensing spectral signature data. The equations necessary to perform regression analysis are presented and methods of testing the strength and reliability of a regression are described. An efficient algorithm for selecting an optimal subset of the independent variables available for a regression is also presented.
Quality of Life and its Measurement: Important Principles and Guidelines
ERIC Educational Resources Information Center
Verdugo, M. A.; Schalock, R. L.; Keith, K. D.; Stancliffe, R. J.
2005-01-01
Background: The importance of the valid assessment of quality of life (QOL) is heightened with the increased use of the QOL construct as a basis for policies and practices in the field of intellectual disability (ID). Method: This article discusses the principles that should guide the measurement process, the major interrogatories (i.e. who, what,…
Measuring the Quality of Life of University Students. Research Monograph Series. Volume 1.
ERIC Educational Resources Information Center
Roberts, Lance W.; Clifton, Rodney A.
This study sought to develop a valid set of scales in the cognitive and affective domains for measuring the quality of life of university students. In addition the study attempted to illustrate the usefulness of Thomas Piazza's procedures for constructing valid scales in educational research. Piazza's method involves a multi-step construction of…
Initial investigation of dietitian perception of plant-based protein quality.
Hughes, Glenna J; Kress, Kathleen S; Armbrecht, Eric S; Mukherjea, Ratna; Mattfeldt-Beman, Mildred
2014-07-01
Interest in plant-based diets is increasing, evidenced by scientific and regulatory recommendations, including Dietary Guidelines for Americans. Dietitians provide guidance in dietary protein selection but little is known about how familiar dietitians are with the quality of plant versus animal proteins or methods for measuring protein quality. Likewise, there is a need to explore their beliefs related to dietary recommendations. The aim of this study was to assess dietitians' perceptions of plant-based protein quality and to determine if these are affected by demographic factors such as age and dietary practice group (DPG) membership. This was a cross-sectional design using an online survey. The survey was sent to all members of the Missouri Dietetic Association. All completed surveys (136) were analyzed. The main outcome measures were responses to belief and knowledge questions about the protein quality of plant-based diets, along with demographic information including age and DPG membership. Descriptive statistics and frequencies were determined, and chi-square analysis was used to determine the associations between belief and knowledge responses and demographic characteristics. Responses to belief statements suggested a high level of support for plant-based diets. No associations were found between any of the belief questions and demographic factors. A majority of respondents were not familiar with protein quality determination methods that are currently recognized by global regulatory and advisory agencies. Potential barriers identified in shifting to a more plant-based diet were lack of interest and perceived difficulty. Knowledge among dietitians of plant-based protein quality in general, and methods of protein quality measurement more specifically, needs to be addressed to enhance their knowledge base for making dietary protein recommendations. Two potential avenues for training are university curricula and continuing education opportunities provided to practitioners who provide dietary advice.
Quality Measures for Hospice and Palliative Care: Piloting the PEACE Measures
Rokoske, Franziska S.; Durham, Danielle; Cagle, John G.; Hanson, Laura C.
2014-01-01
Abstract Background: The Carolinas Center for Medical Excellence launched the PEACE project in 2006, under contract with the Centers for Medicare & Medicaid Services (CMS), to identify, develop, and pilot test quality measures for hospice and palliative care programs. Objectives: The project collected pilot data to test the usability and feasibility of potential quality measures and data collection processes for hospice and palliative care programs. Settings/subjects: Twenty-two hospices participating in a national Quality Improvement Collaborative (QIC) submitted data from 367 chart reviews for pain care and 45 chart reviews for nausea care. Fourteen additional hospices completed a one-time data submission of 126 chart reviews on 60 potential patient-level quality measures across eight domains of care and an organizational assessment evaluating structure and processes of care. Design: Usability was assessed by examining the range, variability and size of the populations targeted by each quality measure. Feasibility was assessed during the second pilot study by surveying data abstractors about the abstraction process and examining the rates of missing data. The impact of data collection processes was assessed by comparing results obtained using different processes. Results: Measures shown to be both usable and feasible included: screening for physical symptoms on admission and documentation of treatment preferences. Methods of data collection and measure construction appear to influence observed rates of quality of care. Conclusions: We successfully identified quality measures with potential for use in hospices and palliative care programs. Future research is needed to understand whether these measures are sensitive to quality improvement interventions. PMID:24921162
Operationalisation of service quality in household waste collection.
Schulte, Nico Alexander; Gellenbeck, Klaus; Nelles, Michael
2017-04-01
Since 2007, there has been intensive discussion at European and national levels concerning the standardisation of services including those in the sector of waste management. The drafts of the European standard prEN 16250 and the German preliminary standard DIN SPEC 1108 are intended to establish a uniform definition of corresponding services and their (minimum) service levels. Their binding application in practice requires that systematic inspections be provided to ascertain to what degree a service has been carried out as agreed upon. However, both standardisation projects give only a few examples of potential quality characteristics and offer no concrete information concerning methods of measurement. Because intersectoral or cross-service quality inspections do not exist, there is a need for the development of specific quality inspections. The study introduced in this article examines the question of how the service quality of door-to-door waste collection can be systematically measured. To this end, the quality concept applied to the process of waste collection was first concretised and then operationalised using indicators. Based upon this, the methods of the quality inspections were developed and subjected to a trial of their applicability in a German waste management company. The methods for measuring and evaluating take into account, in addition to the different boundary conditions of collection, also the possible customer influence on the collection process and consequently on the service performed by the collection crew. In order to avoid time- and therefore cost-intensive exhaustive surveys, a multilevel random-controlled selection of survey units was developed, too. Based on the analysis of the measurement data, it was possible to determine specific time requirement values for the regular performance of the data surveys, as well as minimum sample sizes as a function of the number of container locations of the waste collection tours. On the basis of this information, it has been possible to make initial statements concerning the personnel requirement for quality inspections. Moreover, it is possible to make recommendations concerning the daily working-time schedule for a quality manager in order to achieve the most efficient performance of quality inspections possible. Copyright © 2017 Elsevier Ltd. All rights reserved.
North Dakota's forests, 2005: statistics, methods, and quality assurance
Patrick D. Miles; David E. Haugen; Charles J. Barnett
2011-01-01
The first full annual inventory of North Dakota's forests was completed in 2005 after 7,622 plots were selected and 164 forested plots were visited and measured. This report includes detailed information on forest inventory methods and data quality estimates. Important resource statistics are included in the tables. A detailed analysis of the North Dakota...
South Dakota's forests, 2005: statistics, methods, and quality assurance
Patrick D. Miles; Ronald J. Piva; Charles J. Barnett
2011-01-01
The first full annual inventory of South Dakota's forests was completed in 2005 after 8,302 plots were selected and 325 forested plots were visited and measured. This report includes detailed information on forest inventory methods and data quality estimates. Important resource statistics are included in the tables. A detailed analysis of the South Dakota...
Using Bayesian Imputation to Assess Racial and Ethnic Disparities in Pediatric Performance Measures.
Brown, David P; Knapp, Caprice; Baker, Kimberly; Kaufmann, Meggen
2016-06-01
To analyze health care disparities in pediatric quality of care measures and determine the impact of data imputation. Five HEDIS measures are calculated based on 2012 administrative data for 145,652 children in two public insurance programs in Florida. The Bayesian Improved Surname and Geocoding (BISG) imputation method is used to impute missing race and ethnicity data for 42 percent of the sample (61,954 children). Models are estimated with and without the imputed race and ethnicity data. Dropping individuals with missing race and ethnicity data biases quality of care measures for minorities downward relative to nonminority children for several measures. These results provide further support for the importance of appropriately accounting for missing race and ethnicity data through imputation methods. © Health Research and Educational Trust.
Estimating parameters for probabilistic linkage of privacy-preserved datasets.
Brown, Adrian P; Randall, Sean M; Ferrante, Anna M; Semmens, James B; Boyd, James H
2017-07-10
Probabilistic record linkage is a process used to bring together person-based records from within the same dataset (de-duplication) or from disparate datasets using pairwise comparisons and matching probabilities. The linkage strategy and associated match probabilities are often estimated through investigations into data quality and manual inspection. However, as privacy-preserved datasets comprise encrypted data, such methods are not possible. In this paper, we present a method for estimating the probabilities and threshold values for probabilistic privacy-preserved record linkage using Bloom filters. Our method was tested through a simulation study using synthetic data, followed by an application using real-world administrative data. Synthetic datasets were generated with error rates from zero to 20% error. Our method was used to estimate parameters (probabilities and thresholds) for de-duplication linkages. Linkage quality was determined by F-measure. Each dataset was privacy-preserved using separate Bloom filters for each field. Match probabilities were estimated using the expectation-maximisation (EM) algorithm on the privacy-preserved data. Threshold cut-off values were determined by an extension to the EM algorithm allowing linkage quality to be estimated for each possible threshold. De-duplication linkages of each privacy-preserved dataset were performed using both estimated and calculated probabilities. Linkage quality using the F-measure at the estimated threshold values was also compared to the highest F-measure. Three large administrative datasets were used to demonstrate the applicability of the probability and threshold estimation technique on real-world data. Linkage of the synthetic datasets using the estimated probabilities produced an F-measure that was comparable to the F-measure using calculated probabilities, even with up to 20% error. Linkage of the administrative datasets using estimated probabilities produced an F-measure that was higher than the F-measure using calculated probabilities. Further, the threshold estimation yielded results for F-measure that were only slightly below the highest possible for those probabilities. The method appears highly accurate across a spectrum of datasets with varying degrees of error. As there are few alternatives for parameter estimation, the approach is a major step towards providing a complete operational approach for probabilistic linkage of privacy-preserved datasets.
Determining quality in a unit where nursing is the primary intervention.
Pearson, A; Durant, I; Punton, S
1989-04-01
Determining quality in a unit where nursing is the primary intervention This paper discusses the use of a variety of quantitative and qualitative methods of measuring quality in a nursing unit. It reports the result of comparing the quality of nursing care between patients admitted to the nursing unit concerned (in Oxford, England) following admission to an acute ward, with patients who spent the whole of their hospitalization in an acute ward. The findings suggest that quality can be best assessed by using a number of methods, and the quality of nursing care delivered in a unit which focuses on therapeutic nursing is significantly and consistently higher than that delivered in acute hospital wards.
Sequi, Marco; Campi, Rita; Clavenna, Antonio; Bonati, Maurizio
2013-03-01
To evaluate the quality of data reporting and statistical methods performed in drug utilization studies in the pediatric population. Drug utilization studies evaluating all drug prescriptions to children and adolescents published between January 1994 and December 2011 were retrieved and analyzed. For each study, information on measures of exposure/consumption, the covariates considered, descriptive and inferential analyses, statistical tests, and methods of data reporting was extracted. An overall quality score was created for each study using a 12-item checklist that took into account the presence of outcome measures, covariates of measures, descriptive measures, statistical tests, and graphical representation. A total of 22 studies were reviewed and analyzed. Of these, 20 studies reported at least one descriptive measure. The mean was the most commonly used measure (18 studies), but only five of these also reported the standard deviation. Statistical analyses were performed in 12 studies, with the chi-square test being the most commonly performed test. Graphs were presented in 14 papers. Sixteen papers reported the number of drug prescriptions and/or packages, and ten reported the prevalence of the drug prescription. The mean quality score was 8 (median 9). Only seven of the 22 studies received a score of ≥10, while four studies received a score of <6. Our findings document that only a few of the studies reviewed applied statistical methods and reported data in a satisfactory manner. We therefore conclude that the methodology of drug utilization studies needs to be improved.
Strategic collaborative quality management and employee job satisfaction
Mosadeghrad, Ali Mohammad
2014-01-01
Background: This study aimed to examine Strategic Collaborative Quality Management (SCQM) impact on employee job satisfaction. Methods: The study presents a case study over six years following the implementation of the SCQM programme in a public hospital. A validated questionnaire was used to measure employees’ job satisfaction. The impact of the intervention was measured by comparing the pre-intervention and post-intervention measures in the hospital. Results: The hospital reported a significant improvement in some dimensions of job satisfaction like management and supervision, organisational policies, task requirement, and working conditions. Conclusion: This paper provides detailed information on how a quality management model implementation affects employees. A well developed, well introduced and institutionalised quality management model can improve employees’ job satisfaction. However, the success of quality management needs top management commitment and stability. PMID:24847482
Odors and Air Pollution: A Bibliography with Abstracts.
ERIC Educational Resources Information Center
Environmental Protection Agency, Research Triangle Park, NC. Office of Air Programs.
The annotated bibliography presents a compilation of abstracts which deal with odors as they relate to air pollution. The abstracts are arranged within the following categories: Emission sources; Control methods; Measurement methods; Air quality measurements; Atmospheric interaction; Basic science and technology; Effects-human health;…
*A FASTER METHOD OF MEASURING RECREATIONAL WATER QUALITY FOR BETTER PROTECTION OF SWIMMER'S HEALTH
We previously reported that a faster method (< 2 hours) of measuring fecal indicator bacteria (FIB), based on Quantitative Polymerase Chain Reaction (QPCR), was predictive of swimming associated gastrointestinal illness. Using data from two additional beaches, we examined the re...
Relationships of cotton fiber properties to ring-spun yarn quality on selected High Plains cottons
USDA-ARS?s Scientific Manuscript database
The objective of this research was to evaluate the adequacy of High Volume Instruement (HVI) and Advanced Fiber Information System (AFIS) fiber quality parameters for predicting quality parameters of ring-spun yarns considering differences in harvest method. Fiber properties measured using the HVI (...
Juliani, H R; Welch, C R; Wu, Q; Diouf, B; Malainy, D; Simon, J E
2009-03-01
The objectives of this study were to assess and improve the quality of the hibiscus calyces from Senegal over 2 production seasons (2004 to 2005), to develop and adapt new procedures for the determination of hibiscus anthocyanins and analysis of the 2 major ones, delphinidin-3-sambubioside and cyanidin-3-sambubioside. The foreign matter, total ashes, and acid insoluble ashes showed that the calyces harvested in 2005 were produced following hygienic practices, while the color assessment of the calyces and analysis of hibiscus active principles also showed higher amounts of anthocyanins in 2005. A protocol to measure anthocyanins by pH-differential UV-Vis spectrophotometry was adapted to measure the hibiscus anthocyanins from a water extract. The spectrophotometric method for quantitation of total anthocyanins showed a close correlation (r(2)= 0.82) when compared with the HPLC method, suggesting the use of the colorimetric method in quality control programs as an affordable alternative method to assess anthocyanin content in hibiscus. New and raised standards for the cleanliness and active principle content in hibiscus are also proposed. This study demonstrated that the implementation of a quality control program and the application of agricultural good practices in the production and processing of hibiscus calyces can lead to higher quality natural plant products.
Measurement of retroreflection by glass beads for road marking
NASA Astrophysics Data System (ADS)
Ivanov, L. A.; Kiesewetter, D. V.; Kiselev, N. N.; Malyugin, V. I.; Slugin, V. A.
2006-04-01
The parameters of retroreflection of the monolayer of glass beads of the different size and quality in paint for road marking are measured. The new method of simultaneous measurement of the size and coefficient of retroreflection of separate beads is offered. The system of the statistical characteristics of optical quality is introduced. The measurements for different dimensional fractions are carried out. The capability of estimation of influencing of defects of glass beads on retro reflecting properties of the materials is shown.
NASA Astrophysics Data System (ADS)
Brune, W. H.; Baier, B.; Miller, D. O.; Apel, E. C.; Wisthaler, A.; Fried, A.; Cantrell, C. A.; Blake, D. R.; Brown, S. S.; McDuffie, E. E.; Kaser, L.; Long, R.; Weinheimer, A. J.
2017-12-01
Ground level ozone pollution remains a health hazard in the United States despite dramatic reductions due to regulatory actions over the past three decades. The key to understanding the link between the ozone precursor gases, nitrogen oxides (NOx) and volatile organic compounds (VOCs), and ozone pollution is the ozone production rate. However, in air quality models, uncertainties in emissions and meteorology hide the true sensitivity of modeled ozone to the chemistry of the ozone production rate. A better way to understand the ozone production rate is to measure it directly. We devised a method for measuring the ozone production rate directly and have deployed it in a few field studies. In this presentation, we will discuss some fairly recent observations, the strengths and weaknesses of the current method, and a path toward routine monitoring of the ozone production rate.
Introduction to Field Water-Quality Methods for the Collection of Metals - 2007 Project Summary
Allen, Monica L.
2008-01-01
The U.S. Geological Survey (USGS), Region VI of the U.S. Environmental Protection Agency (USEPA), and the Osage Nation presented three 3-day workshops, in June-August 2007, entitled ?Introduction to Field Water-Quality Methods for the Collection of Metals.? The purpose of the workshops was to provide instruction to tribes within USEPA Region VI on various USGS surface-water measurement methods and water-quality sampling protocols for the collection of surface-water samples for metals analysis. Workshop attendees included members from over 22 tribes and pueblos. USGS instructors came from Oklahoma, New Mexico, and Georgia. Workshops were held in eastern and south-central Oklahoma and New Mexico and covered many topics including presampling preparation, water-quality monitors, and sampling for metals in surface water. Attendees spent one full classroom day learning the field methods used by the USGS Water Resources Discipline and learning about the complexity of obtaining valid water-quality and quality-assurance data. Lectures included (1) a description of metal contamination sources in surface water; (2) introduction on how to select field sites, equipment, and laboratories for sample analysis; (3) collection of sediment in surface water; and (4) utilization of proper protocol and methodology for sampling metals in surface water. Attendees also were provided USGS sampling equipment for use during the field portion of the class so they had actual ?hands-on? experience to take back to their own organizations. The final 2 days of the workshop consisted of field demonstrations of current USGS water-quality sample-collection methods. The hands-on training ensured that attendees were exposed to and experienced proper sampling procedures. Attendees learned integrated-flow techniques during sample collection, field-property documentation, and discharge measurements and calculations. They also used enclosed chambers for sample processing and collected quality-assurance samples to verify their techniques. Benefits of integrated water-quality sample-collection methods are varied. Tribal environmental programs now have the ability to collect data that are comparable across watersheds. The use of consistent sample collection, manipulation, and storage techniques will provide consistent quality data that will enhance the understanding of local water resources. The improved data quality also will help the USEPA better document the condition of the region?s water. Ultimately, these workshops equipped tribes to use uniform sampling methods and to provide consistent quality data that are comparable across the region.
Acoustic evaluation of wood quality in standing trees. Part I, Acoustic wave behavior
Xiping Wang; Robert J. Ross; Peter Carter
2007-01-01
Acoustic wave velocities in standing trees or live softwood species were measured by the time-of-flight (TOF) method. Tree velocities were compared with acoustic velocities measured in corresponding butt logs through a resonance acoustic method. The experimental data showed a skewed relationship between tree and log acoustic measurements. For most trees tested,...
Rapid testing of pulse transformers
NASA Technical Reports Server (NTRS)
Grillo, J.
1980-01-01
Quality-control testing of pulse transformers is speeded up by method for determining rise time and droop. Instead of using oscilloscope and square-wave generator to measure these characteristics directly, method uses voltmeter and sine-wave generator to measure them indirectly in about one-tenth time. Droop and rise time are determined by measuring input/output voltage ratio at just four frequencies.
Apparatus For Measuring The Concentration Of A Species At A Distance
Rice, Steven F.; Allendorf, Mark D.
2006-04-11
Corrosion of refractory silica brick and air quality issues due to particulate emissions are two important glass manufacturing issues that have been tied to sodium vapor and its transport throughout the melt tank. Knowledge of the relationship between tank operating conditions and tank atmosphere sodium levels are therefore important considerations in correcting corrosion and air quality issues. However, until recently direct quantitative measurements of sodium levels has been limited to extractive sampling methods followed by laboratory analysis. Excimer laser induced fragmentation (ELIF) fluorescence spectroscopy is a technique that permits the measurement of volatilized NaOH in high temperature environments on a timescale of less than one second. The development of this method and the construction of field-portable instrumentation for glass furnace applications are herein disclosed. The method is shown to be effective in full-scale industrial settings. Characteristics of the method are outlined, including equipment configuration, detection sensitivity, and calibration methodology.
NASA Astrophysics Data System (ADS)
Mellqvist, J.; Samuelsson, J.; Marianne, E.; Brohede, S.; Andersson, P.; Johansson, J.; Isoz, O.; Tisopulos, L.; Polidori, A.; Pikelnaya, O.
2016-12-01
Industrial volatile organic compound (VOC) emissions may contribute significantly to ozone formation. In order to investigate how much small sources contribute to the VOC concentrations in the Los Angeles metropolitan area a comprehensive emission study has been carried out on behalf of the South Coast Air Quality Management District (SCAQMD). VOC emissions from major sources such as refineries, oil wells, petrol stations oil depots and oil platforms were measured during September and October 2015 using several unique optical methods, including the Solar Occultation Flux method (SOF) and tracer correlation technique based on extractive FTIR and DOAS combined with an open path multi reflection cell. In addition, measurements of ammonia emissions from farming in Chino were demonstrated. The measurements in this study were quality assured by carrying out a controlled source gas release study and side by side measurements with several other techniques. The results from the field campaign show that the emissions from the above mentioned sources are largely underestimated in inventories with potential impact on the air quality in the Los Angeles metropolitan area. The results show that oil and gas production is a very significant VOC emission source. In this presentation the techniques will be discussed together with the main results from the campaign including the quality assurance work.
Wagner, Cordula; Groene, Oliver; Thompson, Caroline A; Dersarkissian, Maral; Klazinga, Niek S; Arah, Onyebuchi A; Suñol, Rosa
2014-04-01
The assessment of integral quality management (QM) in a hospital requires measurement and monitoring from different perspectives and at various levels of care delivery. Within the DUQuE project (Deepening our Understanding of Quality improvement in Europe), seven measures for QM were developed. This study investigates the relationships between the various quality measures. It is a multi-level, cross-sectional, mixed-method study. As part of the DUQuE project, we invited a random sample of 74 hospitals in 7 countries. The quality managers of these hospitals were the main respondents. Furthermore, data of site visits of external surveyors assessing the participating hospitals were used. Three measures of QM at hospitals level focusing on integral systems (QMSI), compliance with the Plan-Do-Study-Act quality improvement cycle (QMCI) and implementation of clinical quality (CQII). Four measures of QM activities at care pathway level focusing on Specialized expertise and responsibility (SER), Evidence-based organization of pathways (EBOP), Patient safety strategies (PSS) and Clinical review (CR). Positive significant associations were found between the three hospitals level QM measures. Results of the relationships between levels were mixed and showed most associations between QMCI and department-level QM measures for all four types of departments. QMSI was associated with PSS in all types of departments. By using the seven measures of QM, it is possible to get a more comprehensive picture of the maturity of QM in hospitals, with regard to the different levels and across various types of hospital departments.
Statistical Process Control Charts for Measuring and Monitoring Temporal Consistency of Ratings
ERIC Educational Resources Information Center
Omar, M. Hafidz
2010-01-01
Methods of statistical process control were briefly investigated in the field of educational measurement as early as 1999. However, only the use of a cumulative sum chart was explored. In this article other methods of statistical quality control are introduced and explored. In particular, methods in the form of Shewhart mean and standard deviation…
Design methods, selection, and cost-effectiveness of stormwater quality structures
DOT National Transportation Integrated Search
2000-11-01
Implementation of the National Pollutant Discharge Elimination System (NPDES) and Texas Pollutant : Discharge Elimination System (TPDES) requires that the Texas Department of Transportation (TxDOT) : adopt a variety of stormwater quality measures to ...
Verdam, Mathilde G. E.; Oort, Frans J.
2014-01-01
Highlights Application of Kronecker product to construct parsimonious structural equation models for multivariate longitudinal data. A method for the investigation of measurement bias with Kronecker product restricted models. Application of these methods to health-related quality of life data from bone metastasis patients, collected at 13 consecutive measurement occasions. The use of curves to facilitate substantive interpretation of apparent measurement bias. Assessment of change in common factor means, after accounting for apparent measurement bias. Longitudinal measurement invariance is usually investigated with a longitudinal factor model (LFM). However, with multiple measurement occasions, the number of parameters to be estimated increases with a multiple of the number of measurement occasions. To guard against too low ratios of numbers of subjects and numbers of parameters, we can use Kronecker product restrictions to model the multivariate longitudinal structure of the data. These restrictions can be imposed on all parameter matrices, including measurement invariance restrictions on factor loadings and intercepts. The resulting models are parsimonious and have attractive interpretation, but require different methods for the investigation of measurement bias. Specifically, additional parameter matrices are introduced to accommodate possible violations of measurement invariance. These additional matrices consist of measurement bias parameters that are either fixed at zero or free to be estimated. In cases of measurement bias, it is also possible to model the bias over time, e.g., with linear or non-linear curves. Measurement bias detection with Kronecker product restricted models will be illustrated with multivariate longitudinal data from 682 bone metastasis patients whose health-related quality of life (HRQL) was measured at 13 consecutive weeks. PMID:25295016
Verdam, Mathilde G E; Oort, Frans J
2014-01-01
Application of Kronecker product to construct parsimonious structural equation models for multivariate longitudinal data.A method for the investigation of measurement bias with Kronecker product restricted models.Application of these methods to health-related quality of life data from bone metastasis patients, collected at 13 consecutive measurement occasions.The use of curves to facilitate substantive interpretation of apparent measurement bias.Assessment of change in common factor means, after accounting for apparent measurement bias.Longitudinal measurement invariance is usually investigated with a longitudinal factor model (LFM). However, with multiple measurement occasions, the number of parameters to be estimated increases with a multiple of the number of measurement occasions. To guard against too low ratios of numbers of subjects and numbers of parameters, we can use Kronecker product restrictions to model the multivariate longitudinal structure of the data. These restrictions can be imposed on all parameter matrices, including measurement invariance restrictions on factor loadings and intercepts. The resulting models are parsimonious and have attractive interpretation, but require different methods for the investigation of measurement bias. Specifically, additional parameter matrices are introduced to accommodate possible violations of measurement invariance. These additional matrices consist of measurement bias parameters that are either fixed at zero or free to be estimated. In cases of measurement bias, it is also possible to model the bias over time, e.g., with linear or non-linear curves. Measurement bias detection with Kronecker product restricted models will be illustrated with multivariate longitudinal data from 682 bone metastasis patients whose health-related quality of life (HRQL) was measured at 13 consecutive weeks.
HIV quality report cards: impact of case-mix adjustment and statistical methods.
Ohl, Michael E; Richardson, Kelly K; Goto, Michihiko; Vaughan-Sarrazin, Mary; Schweizer, Marin L; Perencevich, Eli N
2014-10-15
There will be increasing pressure to publicly report and rank the performance of healthcare systems on human immunodeficiency virus (HIV) quality measures. To inform discussion of public reporting, we evaluated the influence of case-mix adjustment when ranking individual care systems on the viral control quality measure. We used data from the Veterans Health Administration (VHA) HIV Clinical Case Registry and administrative databases to estimate case-mix adjusted viral control for 91 local systems caring for 12 368 patients. We compared results using 2 adjustment methods, the observed-to-expected estimator and the risk-standardized ratio. Overall, 10 913 patients (88.2%) achieved viral control (viral load ≤400 copies/mL). Prior to case-mix adjustment, system-level viral control ranged from 51% to 100%. Seventeen (19%) systems were labeled as low outliers (performance significantly below the overall mean) and 11 (12%) as high outliers. Adjustment for case mix (patient demographics, comorbidity, CD4 nadir, time on therapy, and income from VHA administrative databases) reduced the number of low outliers by approximately one-third, but results differed by method. The adjustment model had moderate discrimination (c statistic = 0.66), suggesting potential for unadjusted risk when using administrative data to measure case mix. Case-mix adjustment affects rankings of care systems on the viral control quality measure. Given the sensitivity of rankings to selection of case-mix adjustment methods-and potential for unadjusted risk when using variables limited to current administrative databases-the HIV care community should explore optimal methods for case-mix adjustment before moving forward with public reporting. Published by Oxford University Press on behalf of the Infectious Diseases Society of America 2014. This work is written by (a) US Government employee(s) and is in the public domain in the US.
Service Discovery Oriented Management System Construction Method
NASA Astrophysics Data System (ADS)
Li, Huawei; Ren, Ying
2017-10-01
In order to solve the problem that there is no uniform method for design service quality management system in large-scale complex service environment, this paper proposes a distributed service-oriented discovery management system construction method. Three measurement functions are proposed to compute nearest neighbor user similarity at different levels. At present in view of the low efficiency of service quality management systems, three solutions are proposed to improve the efficiency of the system. Finally, the key technologies of distributed service quality management system based on service discovery are summarized through the factor addition and subtraction of quantitative experiment.
Primary care physicians' use of family history for cancer risk assessment
2010-01-01
Background Family history (FH) assessment is useful in identifying and managing patients at increased risk for cancer. This study assessed reported FH quality and associations with physician perceptions. Methods Primary care physicians practicing in two northeastern U.S. states were surveyed (n = 880; 70% response rate). Outcome measures of FH quality were extent of FH taken and ascertaining age at cancer diagnosis for affected family members. Predictors of quality measured in this survey included: perceived advantages and disadvantages of collecting FH information, knowledge of management options, access to supportive resources, and confidence in ability to interpret FH. Results Reported collection of information regarding second degree blood relatives and age of diagnosis among affected relatives was low. All hypothesized predictors were associated with measures of FH quality, but not all were consistent independent predictors. Perceived advantages of taking a family history, access to supportive resources, and confidence in ability to identify and manage higher risk patients were independent predictors of both FH quality measures. Perceived disadvantages of taking a family history was independently associated one measure of FH quality. Knowledge of management options was not independently associated with either quality measure. Conclusions Modifiable perception and resource factors were independently associated with quality of FH taking in a large and diverse sample of primary care physicians. Improving FH quality for identification of high risk individuals will require multi-faceted interventions. PMID:20525302
NASA Astrophysics Data System (ADS)
Jasikova, Darina; Kotek, Michal
2014-03-01
The development of industrial technology also brings with optimized surface quality, particularly where there is contact with food. Application ultra-hydrophobic surface significantly reduces the growth of bacteria and facilitates cleaning processes. Testing and evaluation of surface quality are used two methods: impinging droplet and inclined surface method optimized with high speed shadowgraphy, which give information about dynamic contact angle. This article presents the results of research into new methods of measuring ultra-hydrophobic patented technology.
NASA Astrophysics Data System (ADS)
Rückwardt, M.; Göpfert, A.; Schnellhorn, M.; Correns, M.; Rosenberger, M.; Linß, G.
2010-07-01
Precise measuring of spectacle frames is an important field of quality assurance for opticians and their customers. Different supplier and a number of measuring methods are available but all of them are tactile ones. In this paper the possible employment of optical coordinate measuring machines is discussed for detecting the groove of a spectacle frame. The ambient conditions like deviation and measuring time are even multifaceted like quantity of quality characteristics and measuring objects itself and have to be tested. But the main challenge for an optical coordinate measuring machine is the blocked optical path, because the device under test is located behind an undercut. In this case it is necessary to deflect the beam of the machine for example with a rotating plane mirror. In the next step the difficulties of machine vision connecting to the spectacle frame are explained. Finally first results are given.
Spectroscopic vector analysis for fast pattern quality monitoring
NASA Astrophysics Data System (ADS)
Sohn, Younghoon; Ryu, Sungyoon; Lee, Chihoon; Yang, Yusin
2018-03-01
In semiconductor industry, fast and effective measurement of pattern variation has been key challenge for assuring massproduct quality. Pattern measurement techniques such as conventional CD-SEMs or Optical CDs have been extensively used, but these techniques are increasingly limited in terms of measurement throughput and time spent in modeling. In this paper we propose time effective pattern monitoring method through the direct spectrum-based approach. In this technique, a wavelength band sensitive to a specific pattern change is selected from spectroscopic ellipsometry signal scattered by pattern to be measured, and the amplitude and phase variation in the wavelength band are analyzed as a measurement index of the pattern change. This pattern change measurement technique is applied to several process steps and verified its applicability. Due to its fast and simple analysis, the methods can be adapted to the massive process variation monitoring maximizing measurement throughput.
Zhuang, H; Savage, E M
2008-10-01
Quality assessment results of cooked meat can be significantly affected by sample preparation with different cooking techniques. A combi oven is a relatively new cooking technique in the U.S. market. However, there was a lack of published data about its effect on quality measurements of chicken meat. Broiler breast fillets deboned at 24-h postmortem were cooked with one of the 3 methods to the core temperature of 80 degrees C. Cooking methods were evaluated based on cooking operation requirements, sensory profiles, Warner-Bratzler (WB) shear and cooking loss. Our results show that the average cooking time for the combi oven was 17 min compared with 31 min for the commercial oven method and 16 min for the hot water method. The combi oven did not result in a significant difference in the WB shear force values, although the cooking loss of the combi oven samples was significantly lower than the commercial oven and hot water samples. Sensory profiles of the combi oven samples did not significantly differ from those of the commercial oven and hot water samples. These results demonstrate that combi oven cooking did not significantly affect sensory profiles and WB shear force measurements of chicken breast muscle compared to the other 2 cooking methods. The combi oven method appears to be an acceptable alternative for preparing chicken breast fillets in a quality assessment.
Instrumentation for air quality measurements.
NASA Technical Reports Server (NTRS)
Loewenstein, M.
1973-01-01
Comparison of the new generation of air quality monitoring instruments with some more traditional methods. The first generation of air quality measurement instruments, based on the use of oxidant coulometric cells, nitrogen oxide colorimetry, carbon monoxide infrared analyzers, and other types of detectors, is compared with new techniques now coming into wide use in the air monitoring field and involving the use of chemiluminescent reactions, optical absorption detectors, a refinement of the carbon monoxide infrared analyzer, electrochemical cells based on solid electrolytes, and laser detectors.
ERIC Educational Resources Information Center
Molzon, Elizabeth S.; Bonner, Margaret S.; Hullmann, Stephanie E.; Ramsey, Rachelle R.; Suorsa, Kristina I.; Chaney, John M.; Mullins, Larry L.
2013-01-01
Objective: The current study examined the relationship between sleep quality and health-related quality of life (HRQOL). Participants: Participants were 501 undergraduate students with allergies (167), asthma + allergies (167), or with no history of a chronic illness (167) completed study measures from August 2011 to April 2012. Methods: The…
Mokkink, Lidwine B.; Prinsen, Cecilia A. C.; Bouter, Lex M.; de Vet, Henrica C. W.; Terwee, Caroline B.
2016-01-01
Background: COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) is an initiative of an international multidisciplinary team of researchers who aim to improve the selection of outcome measurement instruments both in research and in clinical practice by developing tools for selecting the most appropriate available instrument. Method: In this paper these tools are described, i.e. the COSMIN taxonomy and definition of measurement properties; the COSMIN checklist to evaluate the methodological quality of studies on measurement properties; a search filter for finding studies on measurement properties; a protocol for systematic reviews of outcome measurement instruments; a database of systematic reviews of outcome measurement instruments; and a guideline for selecting outcome measurement instruments for Core Outcome Sets in clinical trials. Currently, we are updating the COSMIN checklist, particularly the standards for content validity studies. Also new standards for studies using Item Response Theory methods will be developed. Additionally, in the future we want to develop standards for studies on the quality of non-patient reported outcome measures, such as clinician-reported outcomes and performance-based outcomes. Conclusions: In summary, we plea for more standardization in the use of outcome measurement instruments, for conducting high quality systematic reviews on measurement instruments in which the best available outcome measurement instrument is recommended, and for stopping the use of poor outcome measurement instruments. PMID:26786084
Metrology: Measurement Assurance Program Guidelines
NASA Technical Reports Server (NTRS)
Eicke, W. G.; Riley, J. P.; Riley, K. J.
1995-01-01
The 5300.4 series of NASA Handbooks for Reliability and Quality Assurance Programs have provisions for the establishment and utilization of a documented metrology system to control measurement processes and to provide objective evidence of quality conformance. The intent of these provisions is to assure consistency and conformance to specifications and tolerances of equipment, systems, materials, and processes procured and/or used by NASA, its international partners, contractors, subcontractors, and suppliers. This Measurement Assurance Program (MAP) guideline has the specific objectives to: (1) ensure the quality of measurements made within NASA programs; (2) establish realistic measurement process uncertainties; (3) maintain continuous control over the measurement processes; and (4) ensure measurement compatibility among NASA facilities. The publication addresses MAP methods as applied within and among NASA installations and serves as a guide to: control measurement processes at the local level (one facility); conduct measurement assurance programs in which a number of field installations are joint participants; and conduct measurement integrity (round robin) experiments in which a number of field installations participate to assess the overall quality of particular measurement processes at a point in time.
A review of data quality assessment methods for public health information systems.
Chen, Hong; Hailey, David; Wang, Ning; Yu, Ping
2014-05-14
High quality data and effective data quality assessment are required for accurately evaluating the impact of public health interventions and measuring public health outcomes. Data, data use, and data collection process, as the three dimensions of data quality, all need to be assessed for overall data quality assessment. We reviewed current data quality assessment methods. The relevant study was identified in major databases and well-known institutional websites. We found the dimension of data was most frequently assessed. Completeness, accuracy, and timeliness were the three most-used attributes among a total of 49 attributes of data quality. The major quantitative assessment methods were descriptive surveys and data audits, whereas the common qualitative assessment methods were interview and documentation review. The limitations of the reviewed studies included inattentiveness to data use and data collection process, inconsistency in the definition of attributes of data quality, failure to address data users' concerns and a lack of systematic procedures in data quality assessment. This review study is limited by the coverage of the databases and the breadth of public health information systems. Further research could develop consistent data quality definitions and attributes. More research efforts should be given to assess the quality of data use and the quality of data collection process.
A Review of Data Quality Assessment Methods for Public Health Information Systems
Chen, Hong; Hailey, David; Wang, Ning; Yu, Ping
2014-01-01
High quality data and effective data quality assessment are required for accurately evaluating the impact of public health interventions and measuring public health outcomes. Data, data use, and data collection process, as the three dimensions of data quality, all need to be assessed for overall data quality assessment. We reviewed current data quality assessment methods. The relevant study was identified in major databases and well-known institutional websites. We found the dimension of data was most frequently assessed. Completeness, accuracy, and timeliness were the three most-used attributes among a total of 49 attributes of data quality. The major quantitative assessment methods were descriptive surveys and data audits, whereas the common qualitative assessment methods were interview and documentation review. The limitations of the reviewed studies included inattentiveness to data use and data collection process, inconsistency in the definition of attributes of data quality, failure to address data users’ concerns and a lack of systematic procedures in data quality assessment. This review study is limited by the coverage of the databases and the breadth of public health information systems. Further research could develop consistent data quality definitions and attributes. More research efforts should be given to assess the quality of data use and the quality of data collection process. PMID:24830450
Godény, Sándor
2012-01-22
In Hungary, financing of healthcare has decreased relative to the GDP, while the health status of the population is still ranks among the worst in the European Union. Since healthcare financing is not expected to increase, the number of practicing doctors per capita is continuously decreasing. In the coming years, it is an important question that in this situation what methods can be used to prevent further deterioration of the health status of the Hungarian population, and within this is the role of the quality approach, and different methods of quality management. In the present and the forthcoming two articles those standpoints will be summarized which support the need for the integration of quality assurance in the everyday medical practice. In the first part the importance of quality thinking, quality management, quality assurance, necessity of quality measurement and improvement, furthermore, advantages of the quality systems will be discussed.
Air Pollution Translations: A Bibliography with Abstracts - Volume 4.
ERIC Educational Resources Information Center
Environmental Protection Agency, Research Triangle Park, NC. Air Pollution Technical Information Center.
This volume is the fourth in a series of compilations presenting abstracts and indexes of translations of technical air pollution literature. The entries are grouped into 12 subject categories: Emission Sources, Control Methods, Measurement Methods, Air Quality Measurements, Atmospheric Interaction, Basic Science and Technology, Effects--Human…
NASA Astrophysics Data System (ADS)
Virolainen, Yana A.; Timofeyev, Yury M.; Kostsov, Vladimir S.; Ionov, Dmitry V.; Kalinnikov, Vladislav V.; Makarova, Maria V.; Poberovsky, Anatoly V.; Zaitsev, Nikita A.; Imhasin, Hamud H.; Polyakov, Alexander V.; Schneider, Matthias; Hase, Frank; Barthlott, Sabine; Blumenstock, Thomas
2017-11-01
The cross-comparison of different techniques for atmospheric integrated water vapour (IWV) measurements is the essential part of their quality assessment protocol. We inter-compare the synchronised data sets of IWV values measured by the Bruker 125 HR Fourier-transform infrared spectrometer (FTIR), RPG-HATPRO microwave radiometer (MW), and Novatel ProPak-V3 global navigation satellite system receiver (GPS) at the St. Petersburg site between August 2014 and October 2016. As the result of accurate spatial and temporal matching of different IWV measurements, all three techniques agree well with each other except for small IWV values. We show that GPS and MW data quality depends on the atmospheric conditions; in dry atmosphere (IWV smaller than 6 mm), these techniques are less reliable at the St. Petersburg site than the FTIR method. We evaluate the upper bound of statistical measurement errors for clear-sky conditions as 0.29 ± 0.02 mm (1.6 ± 0.3 %), 0.55 ± 0.02 mm (4.7 ± 0.4 %), and 0.76 ± 0.04 mm (6.3 ± 0.8 %) for FTIR, GPS, and MW methods, respectively. We propose the use of FTIR as a reference method under clear-sky conditions since it is reliable on all scales of IWV variability.
Lokker, Cynthia; Haynes, R. Brian; Chu, Rong; McKibbon, K. Ann; Wilczynski, Nancy L; Walter, Stephen D
2012-01-01
Objective: Journal impact factor (JIF) is often used as a measure of journal quality. A retrospective cohort study determined the ability of clinical article and journal characteristics, including appraisal measures collected at the time of publication, to predict subsequent JIFs. Methods: Clinical research articles that passed methods quality criteria were included. Each article was rated for relevance and newsworthiness by 3 to 24 physicians from a panel of more than 4,000 practicing clinicians. The 1,267 articles (from 103 journals) were divided 60∶40 into derivation (760 articles) and validation sets (507 articles), representing 99 and 88 journals, respectively. A multiple regression model was produced determining the association of 10 journal and article measures with the 2007 JIF. Results: Four of the 10 measures were significant in the regression model: number of authors, number of databases indexing the journal, proportion of articles passing methods criteria, and mean clinical newsworthiness scores. With the number of disciplines rating the article, the 5 variables accounted for 61% of the variation in JIF (R2 = 0.607, 95% CI 0.444 to 0.706, P<0.001). Conclusion: For the clinical literature, measures of scientific quality and clinical newsworthiness available at the time of publication can predict JIFs with 60% accuracy. PMID:22272156
Microwave sensing for meat and fish structure evaluation
NASA Astrophysics Data System (ADS)
Clerjon, S.; Damez, J. L.
2007-04-01
Monitoring changes in muscle structure during the ageing of bovine meat and quality loss due to fish freezing are major industrial challenges. During ageing, bovine muscle becomes tender through muscle fibre deterioration, and full control of this process is essential. Conversely, degradation of fish muscle, often due to long storage or a freezing cycle, lowers quality. To improve competitiveness, and to respond to consumer quality demand, muscle structure needs to be evaluated in-line. We present here a polarimetric microwave method (10-24 GHz) consisting in free space and contact reflection coefficient measurements using a horn antenna and rectangular probes, respectively. This method is based on the measurement of dielectric properties of tissues parallel and perpendicular to muscle fibre directions. The dielectric properties of structured tissues such as muscles are anisotropic, but during processing structural disorganization reduces this anisotropy. The method is illustrated by the discrimination of fresh and frozen-thawed fish fillets and by monitoring of meat ageing.
Verification of a Quality Management Theory: Using a Delphi Study
Mosadeghrad, Ali Mohammad
2013-01-01
Background: A model of quality management called Strategic Collaborative Quality Management (SCQM) model was developed based on the quality management literature review, the findings of a survey on quality management assessment in healthcare organisations, semi-structured interviews with healthcare stakeholders, and a Delphi study on healthcare quality management experts. The purpose of this study was to verify the SCQM model. Methods: The proposed model was further developed using feedback from thirty quality management experts using a Delphi method. Further, a guidebook for its implementation was prepared including a road map and performance measurement. Results: The research led to the development of a context-specific model of quality management for healthcare organisations and a series of guidelines for its implementation. Conclusion: A proper model of quality management should be developed and implemented properly in healthcare organisations to achieve business excellence. PMID:24596883
Beam Characterization at the Neutron Radiography Facility
DOE Office of Scientific and Technical Information (OSTI.GOV)
Sarah Morgan; Jeffrey King
The quality of a neutron imaging beam directly impacts the quality of radiographic images produced using that beam. Fully characterizing a neutron beam, including determination of the beam’s effective length-to-diameter ratio, neutron flux profile, energy spectrum, image quality, and beam divergence, is vital for producing quality radiographic images. This project characterized the east neutron imaging beamline at the Idaho National Laboratory Neutron Radiography Reactor (NRAD). The experiments which measured the beam’s effective length-to-diameter ratio and image quality are based on American Society for Testing and Materials (ASTM) standards. An analysis of the image produced by a calibrated phantom measured themore » beam divergence. The energy spectrum measurements consist of a series of foil irradiations using a selection of activation foils, compared to the results produced by a Monte Carlo n-Particle (MCNP) model of the beamline. Improvement of the existing NRAD MCNP beamline model includes validation of the model’s energy spectrum and the development of enhanced image simulation methods. The image simulation methods predict the radiographic image of an object based on the foil reaction rate data obtained by placing a model of the object in front of the image plane in an MCNP beamline model.« less
Evaluating Journal Quality: Is the H-Index a Better Measure than Impact Factors?
ERIC Educational Resources Information Center
Hodge, David R.; Lacasse, Jeffrey R.
2011-01-01
Objectives: This study evaluates the utility of a new measure--the h-index--that may provide a more valid approach to evaluating journal quality in the social work profession. Method: H-index values are compared with Thomson ISI 5-year impact factors and expert opinion. Results: As hypothesized, the h-index correlates highly with ISI 5-year impact…
ERIC Educational Resources Information Center
Haider, Zubair; Latif, Farah; Akhtar, Samina; Mushtaq, Maria
2012-01-01
Validity, reliability and item analysis are critical to the process of evaluating the quality of an educational measurement. The present study evaluates the quality of an assessment constructed to measure elementary school student's achievement in English. In this study, the survey model of descriptive research was used as a research method.…
Quality measurement in physician-staffed emergency medical services: a systematic literature review.
Haugland, Helge; Uleberg, Oddvar; Klepstad, Pål; Krüger, Andreas; Rehn, Marius
2018-05-15
Quality measurement of physician-staffed emergency medical services (P-EMS) is necessary to improve service quality. Knowledge and consensus on this topic are scarce, making quality measurement of P-EMS a high-priority research area. The aim of this review was to identify, describe and evaluate studies of quality measurement in P-EMS. The databases of MEDLINE and Embase were searched initially, followed by a search for included article citations in Scopus. The study eligibility criteria were: (1) articles describing the use of one quality indicator (QI) or more in P-EMS, (2) original manuscripts, (3) articles published from 1 January 1968 until 5 October 2016. The literature search identified 4699 records. 4543 were excluded after reviewing title and abstract. An additional 129 were excluded based on a full-text review. The remaining 27 papers were included in the analysis. Methodological quality was assessed using an adapted critical appraisal tool. The description of used QIs and methods of quality measurement was extracted. Variables describing the involved P-EMSs were extracted as well. In the included papers, a common understanding of which QIs to use in P-EMS did not exist. Fifteen papers used only a single QI. The most widely used QIs were 'Adherence to medical protocols', 'Provision of advanced interventions', 'Response time' and 'Adverse events'. The review demonstrated a lack of shared understanding of which QIs to use in P-EMS. Moreover, papers using only one QI dominated the literature, thus increasing the risk of a narrow perspective in quality measurement. Future quality measurement in P-EMS should rely on a set of consensus-based QIs, ensuring a comprehensive approach to quality measurement.
Thavorncharoensap, Montarat
2014-05-01
The Quality Adjusted Life Year (QALY) is the most widely recommended health outcome measure for use in economic evaluations. The QALY gives a value to the effect of a given health intervention in terms of both quantity and quality. QALYs are calculated by multiplying the duration of time spent in a given health state, in years, by the quality of life weighted, known as utility. Utility can range from 0 (the worst health state-the equivalent of death) to 1 (the best health state-full health). This paper provides an overview of the various methods that can be used to measure utility and outlines the recommended protocol for measuring utility, as described in the Guidelines for Health Technology Assessment in Thailand (second edition). The recommendations are as follows: Wherever possible, primary data collection using EQ-5D-3L in patients using Thai value sets generated from the general public should be used. Where the EQ-5D-3L is considered inappropriate, other methods such as Standard gamble (SG), Time-trade-off (TTO), Visual analogue scale (VAS), Health Utilities Index (HUI), SF-6D, or Quality of well being (QWB) can be used. However, justification and full details on the chosen instrument should always be provided.
2014-01-01
Background Integrating rehabilitation services through wearable systems has the potential to accurately assess the type, intensity, duration, and quality of movement necessary for procuring key outcome measures. Objectives This review aims to explore wearable accelerometry-based technology (ABT) capable of assessing mobility-related functional activities intended for rehabilitation purposes in community settings for neurological populations. In this review, we focus on the accuracy of ABT-based methods, types of outcome measures, and the implementation of ABT in non-clinical settings for rehabilitation purposes. Data sources Cochrane, PubMed, Web of Knowledge, EMBASE, and IEEE Xplore. The search strategy covered three main areas, namely wearable technology, rehabilitation, and setting. Study selection Potentially relevant studies were categorized as systems either evaluating methods or outcome parameters. Methods Methodological qualities of studies were assessed by two customized checklists, depending on their categorization and rated independently by three blinded reviewers. Results Twelve studies involving ABT met the eligibility criteria, of which three studies were identified as having implemented ABT for rehabilitation purposes in non-clinical settings. From the twelve studies, seven studies achieved high methodological quality scores. These studies were not only capable of assessing the type, quantity, and quality measures of functional activities, but could also distinguish healthy from non-healthy subjects and/or address disease severity levels. Conclusion While many studies support ABT’s potential for telerehabilitation, few actually utilized it to assess mobility-related functional activities outside laboratory settings. To generate more appropriate outcome measures, there is a clear need to translate research findings and novel methods into practice. PMID:24625308
Dusenbury, Linda; Brannigan, Rosalind; Hansen, William B; Walsh, John; Falco, Mathea
2005-06-01
As prevention programs become disseminated, the most serious threat to effectiveness is maintaining the quality of implementation intended by the developers. This paper proposes a methodology for measuring quality of implementation in school settings and presents data from a pilot study designed to test several of the proposed components. These methods included assessments of adherence, quality of process, the positive or negative valence of adaptations, teachers' attitudes and teachers' understanding of program content. This study was conducted with 11 teachers who had varying degrees of experience who taught Life Skills Training. Observation and interview data were collected during visits to schools. Results suggest that quality of implementation can be measured through observation and interview. Teachers varied in adherence and quality of program delivery. All teachers made adaptations to the program. Experienced teachers were more likely to adhere to the curriculum, deliver it in a way that was more interactive and engaging to students, communicate the goals and objectives better, and make positive adaptations. The field can use these findings as the basis for exploring strategies for measuring and improving quality of implementation.
Factor selection for service quality evaluation: a hospital case study.
Ameryoun, Ahmad; Najafi, Seyedvahid; Nejati-Zarnaqi, Bayram; Khalilifar, Seyed Omid; Ajam, Mahdi; Ansarimoghadam, Ahmad
2017-02-13
Purpose The purpose of this paper is to develop a systematic approach to predict service quality dimension's influence on service quality using a novel analysis based on data envelopment and SERVQUAL. Design/methodology/approach To assess hospital service quality in Tehran, expectation and perception of those who received the services were evaluated using SERVQUAL. The hospital service quality dimensions were found by exploratory factor analysis (EFA). To compare customer expectation and perception, perceived service quality index (PSQI) was measured using a new method based on common weights. A novel sensitivity approach was used to test the service quality factor's impact on the PSQI. Findings A new service quality dimension named "trust in services" was found using EFA, which is not an original SERVQUAL factor. The approach was applied to assess the hospital's service quality. Since the PSQI value was 0.76 it showed that improvements are needed to meet customer expectations. The results showed the factor order that affect PSQI. "Trust in services" has the strongest influence on PSQI followed by "tangibles," "assurance," "empathy," and "responsiveness," respectively. Practical implications This work gives managers insight into service quality by following a systematic method; i.e., measuring perceived service quality from the customer viewpoint and service factors' impact on customer perception. Originality/value The procedure helps managers to select the required service quality dimensions which need improvement and predict their effects on customer perception.
2013-01-01
Background We describe the setup of a neonatal quality improvement tool and list which peer-reviewed requirements it fulfils and which it does not. We report on the so-far observed effects, how the units can identify quality improvement potential, and how they can measure the effect of changes made to improve quality. Methods Application of a prospective longitudinal national cohort data collection that uses algorithms to ensure high data quality (i.e. checks for completeness, plausibility and reliability), and to perform data imaging (Plsek’s p-charts and standardized mortality or morbidity ratio SMR charts). The collected data allows monitoring a study collective of very low birth-weight infants born from 2009 to 2011 by applying a quality cycle following the steps ′guideline – perform - falsify – reform′. Results 2025 VLBW live-births from 2009 to 2011 representing 96.1% of all VLBW live-births in Switzerland display a similar mortality rate but better morbidity rates when compared to other networks. Data quality in general is high but subject to improvement in some units. Seven measurements display quality improvement potential in individual units. The methods used fulfil several international recommendations. Conclusions The Quality Cycle of the Swiss Neonatal Network is a helpful instrument to monitor and gradually help improve the quality of care in a region with high quality standards and low statistical discrimination capacity. PMID:24074151
Nondestructive methods of evaluating quality of wood in preservative-treated piles
Xiping Wang; Robert J. Ross; John R. Erickson; John W. Forsman; Gary D. McGinnis; Rodney C. De Groot
2000-01-01
Stress-wave-based nondestructive evaluation methods were used to evaluate the potential quality and modulus of elasticity (MOE) of wood in used preservative-treated Douglas-fir and southern pine piles. Stress wave measurements were conducted on each pile section. Stress wave propagation speeds in the piles were then obtained to estimate their MOE. This was followed by...
The Quality of Medication Use in Older Adults: Methods of a Longitudinal Study
Roth, Mary T.; Moore, Charity G.; Ivey, Jena L.; Esserman, Denise A.; Campbell, William H.; Weinberger, Morris
2009-01-01
Background The quality of medication use in older adults is a recurring problem of substantial concern. Efforts to both measure and improve the quality of medication use often define quality too narrowly and fall short of addressing the complexity of an older adult's medication regimen. Objective In an effort to more comprehensively define the quality of medication use in older adults, we conducted a prospective cohort study to: 1) describe the quality of medication use in community-residing older adults at baseline, examining differences between Whites and African Americans; 2) examine the effect of race on medication-related problems[mtr1], and 3) assess the change in quality medication use between Whites and African Americans over time. This paper presents the research design and methods of this longitudinal study. Methods We interviewed 100 White and 100 African-American community-residing older adults three times over one year (baseline, 6, and 12 months). We oversampled African Americans so that we could estimate racial differences in the quality of medication use. We collected information on the quality of medication use, relying on a clinical pharmacist's assessment of quality and the Assessing Care of Vulnerable Elders (ACOVE) quality indicators. We also collected data on demographic characteristics, health literacy, functional status, and participant-reported drug therapy concerns. Results Two hundred older adults were enrolled into the study and completed a baseline visit. Of the 200, 92% completed the 6-month visit (n=183) and 88% completed the 12-month visit (n=176). We present baseline demographic characteristics for the 200 older adults enrolled in the study. Conclusion This longitudinal study is an initial step toward developing more comprehensive, patient-centered measures and interventions to improve the quality of medication use in older adults. PMID:19028378
Terwee, Caroline B; Mokkink, Lidwine B; Knol, Dirk L; Ostelo, Raymond W J G; Bouter, Lex M; de Vet, Henrica C W
2012-05-01
The COSMIN checklist is a standardized tool for assessing the methodological quality of studies on measurement properties. It contains 9 boxes, each dealing with one measurement property, with 5-18 items per box about design aspects and statistical methods. Our aim was to develop a scoring system for the COSMIN checklist to calculate quality scores per measurement property when using the checklist in systematic reviews of measurement properties. The scoring system was developed based on discussions among experts and testing of the scoring system on 46 articles from a systematic review. Four response options were defined for each COSMIN item (excellent, good, fair, and poor). A quality score per measurement property is obtained by taking the lowest rating of any item in a box ("worst score counts"). Specific criteria for excellent, good, fair, and poor quality for each COSMIN item are described. In defining the criteria, the "worst score counts" algorithm was taken into consideration. This means that only fatal flaws were defined as poor quality. The scores of the 46 articles show how the scoring system can be used to provide an overview of the methodological quality of studies included in a systematic review of measurement properties. Based on experience in testing this scoring system on 46 articles, the COSMIN checklist with the proposed scoring system seems to be a useful tool for assessing the methodological quality of studies included in systematic reviews of measurement properties.
Zhi, Dong; Ma, Yanxing; Chen, Zilun; Wang, Xiaolin; Zhou, Pu; Si, Lei
2016-05-15
We report on the development of a monolithic adaptive fiber optics collimator, with a large deflection angle and preserved near-diffraction-limited beam quality, that has been tested at a maximal output power at the 300 W level. Additionally, a new measurement method of beam quality (M2 factor) is developed. Experimental results show that the deflection angle of the collimated beam is in the range of 0-0.27 mrad in the X direction and 0-0.19 mrad in the Y direction. The effective working frequency of the device is about 710 Hz. By employing the new measurement method of the M2 factor, we calculate that the beam quality is Mx2=1.35 and My2=1.24, which is in agreement with the result from the beam propagation analyzer and is preserved well with the increasing output power.
A novel method for measuring health care system performance: experience from QIDS in the Philippines
Solon, Orville; Woo, Kimberly; Quimbo, Stella A; Shimkhada, Riti; Florentino, Jhiedon; Peabody, John W
2009-01-01
Objectives Measuring and monitoring health system performance is important albeit controversial. Technical, logistic and financial challenges are formidable. We introduced a system of measurement, which we call Q*, to measure the quality of hospital clinical performance across a range of facilities. This paper describes how Q* was developed, implemented in hospitals in the Philippines and how it compares with typical measures. Methods Q* consists of measures of clinical performance, patient satisfaction and volume of physician services. We evaluate Q* using experimental data from the Quality Improvement Demonstration Study (QIDS), a randomized policy experiment. We determined its responsiveness over time and to changes in structural measures such as staffing and supplies. We also examined the operational costs of implementing Q*. Results Q* was sustainable, minimally disruptive and readily grafted into existing routines in 30 hospitals in 10 provinces semi-annually for a period of 2½ years. We found Q* to be more responsive to immediate impacts of policy change than standard structural measures. The operational costs totalled US$2133 or US$305 per assessment per site. Conclusion Q* appears to be an achievable assessment tool that is a comprehensive and responsive measure of system level quality at a limited cost in resource-poor settings. PMID:19224955
Grain quality inspection system
NASA Technical Reports Server (NTRS)
Flood, C. A., Jr.; Singletow, D. P.; James, S. N.
1979-01-01
A review of grain quality indicators and measurement methods was conducted in order to assess the feasibility of using remote sensing technology to develop a continuous monitoring system for use during grain transfer operations. Most detection methods were found to be too slow or too expensive to be incorporated into the normal inspection procedure of a grain elevator on a continuous basis. Two indicators, moisture content and broken corn and foreign material, show potential for automation and are of an economic value. A microprocessor based system which utilizes commercially available electronic moisture meter was developed and tested. A method for automating BCFM measurement is described. A complete system description is presented along with performance test results.
Does Cognitive Impairment Influence Quality of Life among Nursing Home Residents?
ERIC Educational Resources Information Center
Abrahamson, Kathleen; Clark, Daniel; Perkins, Anthony; Arling, Greg
2012-01-01
Purpose: We investigated the relationship between cognitive status and quality of life (QOL) of Minnesota nursing home (NH) residents and the relationship between conventional or Alzheimer's special care unit (SCU) placement and QOL. The study may inform development of dementia-specific quality measures. Design and Methods: Data for analyses came…
USDA-ARS?s Scientific Manuscript database
Electrical impedance spectroscopy (EIS), as an effective analytical technique for electrochemical system, has shown a wide application for food quality and safety assessment recently. Individual differences of livestock cause high variation in quality of raw meat and fish and their commercialized pr...
GIS-based measurements that combine native raster and native vector data are commonly used to assess environmental quality. Most of these measurements can be calculated using either raster or vector data formats and processing methods. Raster processes are more commonly used beca...
Improving Quality of Shoe Soles Product using Six Sigma
NASA Astrophysics Data System (ADS)
Jesslyn Wijaya, Athalia; Trusaji, Wildan; Akbar, Muhammad; Ma’ruf, Anas; Irianto, Dradjad
2018-03-01
A manufacture in Bandung produce kind of rubber-based product i.e. trim, rice rollers, shoe soles, etc. After penetrating the shoe soles market, the manufacture has met customer with tight quality control. Based on the past data, defect level of this product was 18.08% that caused the manufacture’s loss of time and money. Quality improvement effort was done using six sigma method that included phases of define, measure, analyse, improve, and control (DMAIC). In the design phase, the object’s problem and definition were defined. Delphi method was also used in this phase to identify critical factors. In the measure phase, the existing process stability and sigma quality level were measured. Fishbone diagram and failure mode and effect analysis (FMEA) were used in the next phase to analyse the root cause and determine the priority issues. Improve phase was done by designing alternative improvement strategy using 5W1H method. Some improvement efforts were identified, i.e. (i) modifying design of the hanging rack, (ii) create pantone colour book and check sheet, (iii) provide pedestrian line at compound department, (iv) buying stop watch, and (v) modifying shoe soles dies. Some control strategies for continuous improvement were proposed such as SOP or reward and punishment system.
Ikonen, Jenni; Pitkänen, Tarja; Miettinen, Ilkka T
2013-10-25
In this study, different optical, physical and chemical measurements were tested for their capacity to detect changes in water quality. The tests included UV-absorbance at 254 nm, absorbance at 420 nm, turbidity, particle counting, temperature, pH, electric conductivity (EC), free chlorine concentration and ATP concentration measurements. Special emphasis was given to investigating the potential for measurement tools to detect changes in bacterial concentrations in drinking water. Bacterial colony counts (CFU) and total bacterial cell counts (TBC) were used as reference methods for assessing the bacterial water quality. The study consists of a series of laboratory scale experiments: monitoring of regrowth of Pseudomonas fluorescens, estimation of the detection limits for optical measurements using Escherichia coli dilutions, verification of the relationships by analysing grab water samples from various distribution systems and utilisation of the measurements in the case of an accidentally contaminated distribution network. We found significant correlations between the tested measurements and the bacterial water quality. As the bacterial contamination of water often co-occurs with the intrusion of matrixes containing mainly non-bacterial components, the tested measurement tools can be considered to have the potential to rapidly detect any major changes in drinking water quality.
Ikonen, Jenni; Pitkänen, Tarja; Miettinen, Ilkka T.
2013-01-01
In this study, different optical, physical and chemical measurements were tested for their capacity to detect changes in water quality. The tests included UV-absorbance at 254 nm, absorbance at 420 nm, turbidity, particle counting, temperature, pH, electric conductivity (EC), free chlorine concentration and ATP concentration measurements. Special emphasis was given to investigating the potential for measurement tools to detect changes in bacterial concentrations in drinking water. Bacterial colony counts (CFU) and total bacterial cell counts (TBC) were used as reference methods for assessing the bacterial water quality. The study consists of a series of laboratory scale experiments: monitoring of regrowth of Pseudomonas fluorescens, estimation of the detection limits for optical measurements using Escherichia coli dilutions, verification of the relationships by analysing grab water samples from various distribution systems and utilisation of the measurements in the case of an accidentally contaminated distribution network. We found significant correlations between the tested measurements and the bacterial water quality. As the bacterial contamination of water often co-occurs with the intrusion of matrixes containing mainly non-bacterial components, the tested measurement tools can be considered to have the potential to rapidly detect any major changes in drinking water quality. PMID:24284353
NASA Astrophysics Data System (ADS)
Matthews, J. B. R.
2012-09-01
Sea Surface Temperature (SST) measurements have been obtained from a variety of different platforms, instruments and depths over the post-industrial period. Today most measurements come from ships, moored and drifting buoys and satellites. Shipboard methods include temperature measurement of seawater sampled by bucket and in engine cooling water intakes. Engine intake temperatures are generally thought to average a few tenths of a °C warmer than simultaneous bucket temperatures. Here I review SST measurement methods, studies comparing shipboard methods by field experiment and adjustments applied to SST datasets to account for variable methods. In opposition to contemporary thinking, I find average bucket-intake temperature differences reported from field studies inconclusive. Non-zero average differences often have associated standard deviations that are several times larger than the averages themselves. Further, average differences have been found to vary widely between ships and between cruises on the same ship. The cause of non-zero average differences is typically unclear given the general absence of additional temperature observations to those from buckets and engine intakes. Shipboard measurements appear of variable quality, highly dependent upon the accuracy and precision of the thermometer used and the care of the observer where manually read. Methods are generally poorly documented, with written instructions not necessarily reflecting actual practices of merchant mariners. Measurements cannot be expected to be of high quality where obtained by untrained sailors using thermometers of low accuracy and precision.
Fast and precise dense grid size measurement method based on coaxial dual optical imaging system
NASA Astrophysics Data System (ADS)
Guo, Jiping; Peng, Xiang; Yu, Jiping; Hao, Jian; Diao, Yan; Song, Tao; Li, Ameng; Lu, Xiaowei
2015-10-01
Test sieves with dense grid structure are widely used in many fields, accurate gird size calibration is rather critical for success of grading analysis and test sieving. But traditional calibration methods suffer from the disadvantages of low measurement efficiency and shortage of sampling number of grids which could lead to quality judgment risk. Here, a fast and precise test sieve inspection method is presented. Firstly, a coaxial imaging system with low and high optical magnification probe is designed to capture the grid images of the test sieve. Then, a scaling ratio between low and high magnification probes can be obtained by the corresponding grids in captured images. With this, all grid dimensions in low magnification image can be obtained by measuring few corresponding grids in high magnification image with high accuracy. Finally, by scanning the stage of the tri-axis platform of the measuring apparatus, whole surface of the test sieve can be quickly inspected. Experiment results show that the proposed method can measure the test sieves with higher efficiency compare to traditional methods, which can measure 0.15 million grids (gird size 0.1mm) within only 60 seconds, and it can measure grid size range from 20μm to 5mm precisely. In a word, the presented method can calibrate the grid size of test sieve automatically with high efficiency and accuracy. By which, surface evaluation based on statistical method can be effectively implemented, and the quality judgment will be more reasonable.
A comprehensive framework for data quality assessment in CER.
Holve, Erin; Kahn, Michael; Nahm, Meredith; Ryan, Patrick; Weiskopf, Nicole
2013-01-01
The panel addresses the urgent need to ensure that comparative effectiveness research (CER) findings derived from diverse and distributed data sources are based on credible, high-quality data; and that the methods used to assess and report data quality are consistent, comprehensive, and available to data consumers. The panel consists of representatives from four teams leveraging electronic clinical data for CER, patient centered outcomes research (PCOR), and quality improvement (QI) and seeks to change the current paradigm where data quality assessment (DQA) is performed "behind the scenes" using one-off project specific methods. The panelists will present their process of harmonizing existing models for describing and measuring clinical data quality and will describe a comprehensive integrated framework for assessing and reporting DQA findings. The collaborative project is supported by the Electronic Data Methods (EDM) Forum, a three-year grant from the Agency for Healthcare Research and Quality (AHRQ) to facilitate learning and foster collaboration across a set of CER, PCOR, and QI projects designed to build infrastructure and methods for collecting and analyzing prospective data from electronic clinical data .
ERIC Educational Resources Information Center
Pike, Gary R.
Because change is fundamental to education and the measurement of change assesses the quality and effectiveness of postsecondary education, this study examined three methods of measuring change: (1) gain scores; (2) residual scores; and (3) repeated measures. Data for the study was obtained from transcripts of 722 graduating seniors at the…
Titiyal, Jeewan S; Kaur, Manpreet; Jose, Cijin P; Falera, Ruchita; Kinkar, Ashutosh; Bageshwar, Lalit MS
2018-01-01
Purpose To compare toric intraocular lens (IOL) alignment assisted by image-guided surgery or manual marking methods and its impact on visual quality. Patients and methods This prospective comparative study enrolled 80 eyes with cataract and astigmatism ≥1.5 D to undergo phacoemulsification with toric IOL alignment by manual marking method using bubble marker (group I, n=40) or Callisto eye and Z align (group II, n=40). Postoperatively, accuracy of alignment and visual quality was assessed with a ray tracing aberrometer. Primary outcome measure was deviation from the target axis of implantation. Secondary outcome measures were visual quality and acuity. Follow-up was performed on postoperative days (PODs) 1 and 30. Results Deviation from the target axis of implantation was significantly less in group II on PODs 1 and 30 (group I: 5.5°±3.3°, group II: 3.6°±2.6°; p=0.005). Postoperative refractive cylinder was −0.89±0.35 D in group I and −0.64±0.36 D in group II (p=0.003). Visual acuity was comparable between both the groups. Visual quality measured in terms of Strehl ratio (p<0.05) and modulation transfer function (MTF) (p<0.05) was significantly better in the image-guided surgery group. Significant negative correlation was observed between deviation from target axis and visual quality parameters (Strehl ratio and MTF) (p<0.05). Conclusion Image-guided surgery allows precise alignment of toric IOL without need for reference marking. It is associated with superior visual quality which correlates with the precision of IOL alignment. PMID:29731603
A systematic composite service design modeling method using graph-based theory.
Elhag, Arafat Abdulgader Mohammed; Mohamad, Radziah; Aziz, Muhammad Waqar; Zeshan, Furkh
2015-01-01
The composite service design modeling is an essential process of the service-oriented software development life cycle, where the candidate services, composite services, operations and their dependencies are required to be identified and specified before their design. However, a systematic service-oriented design modeling method for composite services is still in its infancy as most of the existing approaches provide the modeling of atomic services only. For these reasons, a new method (ComSDM) is proposed in this work for modeling the concept of service-oriented design to increase the reusability and decrease the complexity of system while keeping the service composition considerations in mind. Furthermore, the ComSDM method provides the mathematical representation of the components of service-oriented design using the graph-based theoryto facilitate the design quality measurement. To demonstrate that the ComSDM method is also suitable for composite service design modeling of distributed embedded real-time systems along with enterprise software development, it is implemented in the case study of a smart home. The results of the case study not only check the applicability of ComSDM, but can also be used to validate the complexity and reusability of ComSDM. This also guides the future research towards the design quality measurement such as using the ComSDM method to measure the quality of composite service design in service-oriented software system.
A Systematic Composite Service Design Modeling Method Using Graph-Based Theory
Elhag, Arafat Abdulgader Mohammed; Mohamad, Radziah; Aziz, Muhammad Waqar; Zeshan, Furkh
2015-01-01
The composite service design modeling is an essential process of the service-oriented software development life cycle, where the candidate services, composite services, operations and their dependencies are required to be identified and specified before their design. However, a systematic service-oriented design modeling method for composite services is still in its infancy as most of the existing approaches provide the modeling of atomic services only. For these reasons, a new method (ComSDM) is proposed in this work for modeling the concept of service-oriented design to increase the reusability and decrease the complexity of system while keeping the service composition considerations in mind. Furthermore, the ComSDM method provides the mathematical representation of the components of service-oriented design using the graph-based theoryto facilitate the design quality measurement. To demonstrate that the ComSDM method is also suitable for composite service design modeling of distributed embedded real-time systems along with enterprise software development, it is implemented in the case study of a smart home. The results of the case study not only check the applicability of ComSDM, but can also be used to validate the complexity and reusability of ComSDM. This also guides the future research towards the design quality measurement such as using the ComSDM method to measure the quality of composite service design in service-oriented software system. PMID:25928358
Identifying positive deviants in healthcare quality and safety: a mixed methods study.
O'Hara, Jane K; Grasic, Katja; Gutacker, Nils; Street, Andrew; Foy, Robbie; Thompson, Carl; Wright, John; Lawton, Rebecca
2018-01-01
Objective Solutions to quality and safety problems exist within healthcare organisations, but to maximise the learning from these positive deviants, we first need to identify them. This study explores using routinely collected, publicly available data in England to identify positively deviant services in one region of the country. Design A mixed methods study undertaken July 2014 to February 2015, employing expert discussion, consensus and statistical modelling to identify indicators of quality and safety, establish a set of criteria to inform decisions about which indicators were robust and useful measures, and whether these could be used to identify positive deviants. Setting Yorkshire and Humber, England. Participants None - analysis based on routinely collected, administrative English hospital data. Main outcome measures We identified 49 indicators of quality and safety from acute care settings across eight data sources. Twenty-six indicators did not allow comparison of quality at the sub-hospital level. Of the 23 remaining indicators, 12 met all criteria and were possible candidates for identifying positive deviants. Results Four indicators (readmission and patient reported outcomes for hip and knee surgery) offered indicators of the same service. These were selected by an expert group as the basis for statistical modelling, which supported identification of one service in Yorkshire and Humber showing a 50% positive deviation from the national average. Conclusion Relatively few indicators of quality and safety relate to a service level, making meaningful comparisons and local improvement based on the measures difficult. It was possible, however, to identify a set of indicators that provided robust measurement of the quality and safety of services providing hip and knee surgery.
No-reference multiscale blur detection tool for content based image retrieval
NASA Astrophysics Data System (ADS)
Ezekiel, Soundararajan; Stocker, Russell; Harrity, Kyle; Alford, Mark; Ferris, David; Blasch, Erik; Gorniak, Mark
2014-06-01
In recent years, digital cameras have been widely used for image capturing. These devices are equipped in cell phones, laptops, tablets, webcams, etc. Image quality is an important component of digital image analysis. To assess image quality for these mobile products, a standard image is required as a reference image. In this case, Root Mean Square Error and Peak Signal to Noise Ratio can be used to measure the quality of the images. However, these methods are not possible if there is no reference image. In our approach, a discrete-wavelet transformation is applied to the blurred image, which decomposes into the approximate image and three detail sub-images, namely horizontal, vertical, and diagonal images. We then focus on noise-measuring the detail images and blur-measuring the approximate image to assess the image quality. We then compute noise mean and noise ratio from the detail images, and blur mean and blur ratio from the approximate image. The Multi-scale Blur Detection (MBD) metric provides both an assessment of the noise and blur content. These values are weighted based on a linear regression against full-reference y values. From these statistics, we can compare to normal useful image statistics for image quality without needing a reference image. We then test the validity of our obtained weights by R2 analysis as well as using them to estimate image quality of an image with a known quality measure. The result shows that our method provides acceptable results for images containing low to mid noise levels and blur content.
40 CFR 408.61 - Specialized definitions.
Code of Federal Regulations, 2010 CFR
2010-07-01
... components of a waste water amenable to measurement by the method described in Methods for Chemical Analysis of Water and Wastes, 1971, Environmental Protection Agency, Analytical Quality Control Laboratory...
40 CFR 408.71 - Specialized definitions.
Code of Federal Regulations, 2010 CFR
2010-07-01
... waste water amenable to measurement by the method described in Methods for Chemical Analysis of Water and Wastes, 1971, Environmental Protection Agency, Analytical Quality Control Laboratory, page 217. (c...
40 CFR 408.81 - Specialized definitions.
Code of Federal Regulations, 2010 CFR
2010-07-01
... components of a waste water amendable to measurement by the method described in Methods for Chemical Analysis of Water and Wastes, 1971, Environmental Protection Agency, Analytical Quality Control Laboratory...
Exploring constructs of well-being, happiness and quality of life
Landhuis, C. Erik
2018-01-01
Background Existing definitions of happiness, subjective well-being, and quality of life suggest conceptual overlap between these constructs. This study explored the relationship between these well-being constructs by applying widely used measures with satisfactory psychometric properties. Materials and Methods University students (n = 180) completed widely used well-being measures including the Oxford Happiness Questionnaire (OHQ), the World Health Organization Quality of Life Questionnaire, the Satisfaction with Life Scale, and the Positive and Negative Affect Scale. We analyzed the data using correlation, regression, and exploratory factor analysis. Results All included well-being measures demonstrated high loadings on the global well-being construct that explains about 80% of the variance in the OHQ, the psychological domain of Quality of Life and subjective well-being. The results show high positive correlations between happiness, psychological and health domains of quality of life, life satisfaction, and positive affect. Social and environmental domains of quality of life were poor predictors of happiness and subjective well-being after controlling for psychological quality of life. Conclusion Together, these data provide support for a global well-being dimension and interchangeable use of terms happiness, subjective well-being, and psychological quality of life with the current sample and measures. Further investigation with larger heterogeneous samples and other well-being measures is warranted. PMID:29876148
Adu-Brimpong, Joel; Coffey, Nathan; Ayers, Colby; Berrigan, David; Yingling, Leah R.; Thomas, Samantha; Mitchell, Valerie; Ahuja, Chaarushi; Rivers, Joshua; Hartz, Jacob; Powell-Wiley, Tiffany M.
2017-01-01
Optimization of existing measurement tools is necessary to explore links between aspects of the neighborhood built environment and health behaviors or outcomes. We evaluate a scoring method for virtual neighborhood audits utilizing the Active Neighborhood Checklist (the Checklist), a neighborhood audit measure, and assess street segment representativeness in low-income neighborhoods. Eighty-two home neighborhoods of Washington, D.C. Cardiovascular Health/Needs Assessment (NCT01927783) participants were audited using Google Street View imagery and the Checklist (five sections with 89 total questions). Twelve street segments per home address were assessed for (1) Land-Use Type; (2) Public Transportation Availability; (3) Street Characteristics; (4) Environment Quality and (5) Sidewalks/Walking/Biking features. Checklist items were scored 0–2 points/question. A combinations algorithm was developed to assess street segments’ representativeness. Spearman correlations were calculated between built environment quality scores and Walk Score®, a validated neighborhood walkability measure. Street segment quality scores ranged 10–47 (Mean = 29.4 ± 6.9) and overall neighborhood quality scores, 172–475 (Mean = 352.3 ± 63.6). Walk scores® ranged 0–91 (Mean = 46.7 ± 26.3). Street segment combinations’ correlation coefficients ranged 0.75–1.0. Significant positive correlations were found between overall neighborhood quality scores, four of the five Checklist subsection scores, and Walk Scores® (r = 0.62, p < 0.001). This scoring method adequately captures neighborhood features in low-income, residential areas and may aid in delineating impact of specific built environment features on health behaviors and outcomes. PMID:28282878
Quantifying Data Quality for Clinical Trials Using Electronic Data Capture
Nahm, Meredith L.; Pieper, Carl F.; Cunningham, Maureen M.
2008-01-01
Background Historically, only partial assessments of data quality have been performed in clinical trials, for which the most common method of measuring database error rates has been to compare the case report form (CRF) to database entries and count discrepancies. Importantly, errors arising from medical record abstraction and transcription are rarely evaluated as part of such quality assessments. Electronic Data Capture (EDC) technology has had a further impact, as paper CRFs typically leveraged for quality measurement are not used in EDC processes. Methods and Principal Findings The National Institute on Drug Abuse Treatment Clinical Trials Network has developed, implemented, and evaluated methodology for holistically assessing data quality on EDC trials. We characterize the average source-to-database error rate (14.3 errors per 10,000 fields) for the first year of use of the new evaluation method. This error rate was significantly lower than the average of published error rates for source-to-database audits, and was similar to CRF-to-database error rates reported in the published literature. We attribute this largely to an absence of medical record abstraction on the trials we examined, and to an outpatient setting characterized by less acute patient conditions. Conclusions Historically, medical record abstraction is the most significant source of error by an order of magnitude, and should be measured and managed during the course of clinical trials. Source-to-database error rates are highly dependent on the amount of structured data collection in the clinical setting and on the complexity of the medical record, dependencies that should be considered when developing data quality benchmarks. PMID:18725958
Adu-Brimpong, Joel; Coffey, Nathan; Ayers, Colby; Berrigan, David; Yingling, Leah R; Thomas, Samantha; Mitchell, Valerie; Ahuja, Chaarushi; Rivers, Joshua; Hartz, Jacob; Powell-Wiley, Tiffany M
2017-03-08
Optimization of existing measurement tools is necessary to explore links between aspects of the neighborhood built environment and health behaviors or outcomes. We evaluate a scoring method for virtual neighborhood audits utilizing the Active Neighborhood Checklist (the Checklist), a neighborhood audit measure, and assess street segment representativeness in low-income neighborhoods. Eighty-two home neighborhoods of Washington, D.C. Cardiovascular Health/Needs Assessment (NCT01927783) participants were audited using Google Street View imagery and the Checklist (five sections with 89 total questions). Twelve street segments per home address were assessed for (1) Land-Use Type; (2) Public Transportation Availability; (3) Street Characteristics; (4) Environment Quality and (5) Sidewalks/Walking/Biking features. Checklist items were scored 0-2 points/question. A combinations algorithm was developed to assess street segments' representativeness. Spearman correlations were calculated between built environment quality scores and Walk Score ® , a validated neighborhood walkability measure. Street segment quality scores ranged 10-47 (Mean = 29.4 ± 6.9) and overall neighborhood quality scores, 172-475 (Mean = 352.3 ± 63.6). Walk scores ® ranged 0-91 (Mean = 46.7 ± 26.3). Street segment combinations' correlation coefficients ranged 0.75-1.0. Significant positive correlations were found between overall neighborhood quality scores, four of the five Checklist subsection scores, and Walk Scores ® ( r = 0.62, p < 0.001). This scoring method adequately captures neighborhood features in low-income, residential areas and may aid in delineating impact of specific built environment features on health behaviors and outcomes.
Composite Measures of Health Care Provider Performance: A Description of Approaches
Shwartz, Michael; Restuccia, Joseph D; Rosen, Amy K
2015-01-01
Context Since the Institute of Medicine’s 2001 report Crossing the Quality Chasm, there has been a rapid proliferation of quality measures used in quality-monitoring, provider-profiling, and pay-for-performance (P4P) programs. Although individual performance measures are useful for identifying specific processes and outcomes for improvement and tracking progress, they do not easily provide an accessible overview of performance. Composite measures aggregate individual performance measures into a summary score. By reducing the amount of data that must be processed, they facilitate (1) benchmarking of an organization’s performance, encouraging quality improvement initiatives to match performance against high-performing organizations, and (2) profiling and P4P programs based on an organization’s overall performance. Methods We describe different approaches to creating composite measures, discuss their advantages and disadvantages, and provide examples of their use. Findings The major issues in creating composite measures are (1) whether to aggregate measures at the patient level through all-or-none approaches or the facility level, using one of the several possible weighting schemes; (2) when combining measures on different scales, how to rescale measures (using z scores, range percentages, ranks, or 5-star categorizations); and (3) whether to use shrinkage estimators, which increase precision by smoothing rates from smaller facilities but also decrease transparency. Conclusions Because provider rankings and rewards under P4P programs may be sensitive to both context and the data, careful analysis is warranted before deciding to implement a particular method. A better understanding of both when and where to use composite measures and the incentives created by composite measures are likely to be important areas of research as the use of composite measures grows. PMID:26626986
Intercomparison of methods for image quality characterization. II. Noise power spectrum
DOE Office of Scientific and Technical Information (OSTI.GOV)
Dobbins, James T. III; Samei, Ehsan; Ranger, Nicole T.
Second in a two-part series comparing measurement techniques for the assessment of basic image quality metrics in digital radiography, in this paper we focus on the measurement of the image noise power spectrum (NPS). Three methods were considered: (1) a method published by Dobbins et al. [Med. Phys. 22, 1581-1593 (1995)] (2) a method published by Samei et al. [Med. Phys. 30, 608-622 (2003)], and (3) a new method sanctioned by the International Electrotechnical Commission (IEC 62220-1, 2003), developed as part of an international standard for the measurement of detective quantum efficiency. In addition to an overall comparison of themore » estimated NPS between the three techniques, the following factors were also evaluated for their effect on the measured NPS: horizontal versus vertical directional dependence, the use of beam-limiting apertures, beam spectrum, and computational methods of NPS analysis, including the region-of-interest (ROI) size and the method of ROI normalization. Of these factors, none was found to demonstrate a substantial impact on the amplitude of the NPS estimates ({<=}3.1% relative difference in NPS averaged over frequency, for each factor considered separately). Overall, the three methods agreed to within 1.6%{+-}0.8% when averaged over frequencies >0.15 mm{sup -1}.« less
Patients’ perceived value of pharmacy quality measures: a mixed-methods study
Shiyanbola, Olayinka O; Mort, Jane R
2015-01-01
Objective To describe patients’ perceived value and use of quality measures in evaluating and choosing community pharmacies. Design Focus group methodology was combined with a survey tool. During the focus groups, participants assessed the value of the Pharmacy Quality Alliance's quality measures in evaluating and choosing a pharmacy. Also, participants completed questionnaires rating their perceived value of quality measures in evaluating a pharmacy (1 being low value and 5 being high) or choosing a pharmacy (yes/no). Thematic analysis and descriptive statistics were used to analyse the focus groups and surveys, respectively. Setting Semistructured focus groups were conducted in a private meeting space of an urban and a rural area of a Mid-western State in the USA. Participants Thirty-four adults who filled prescription medications in community pharmacies for a chronic illness were recruited in community pharmacies, senior centres and public libraries. Results While comments indicated that all measures were important, medication safety measures (eg, drug-drug interactions) were valued more highly than others. Rating of quality measure utility in evaluating a pharmacy ranged from a mean of 4.88 (‘drug-drug interactions’) to a mean of 4.0 (‘absence of controller therapy for patients with asthma’). Patients were hesitant to use quality information in choosing a pharmacy (depending on the participant's location) but might consider if moving to a new area or having had a negative pharmacy experience. Use of select quality measures to choose a pharmacy ranged from 97.1% of participants using ‘drug-drug interactions’ (medication safety measure) to 55.9% using ‘absence of controller therapy for patients with asthma’. Conclusions The study participants valued quality measures in evaluating and selecting a community pharmacy, with medication safety measures valued highest. The participants reported that the quality measures would not typically cause a switch in pharmacy but might influence their selection in certain situations. PMID:25600253
Schiffer, D.M.
1989-01-01
Water quality of the surficial aquifer system in central Florida was evaluated at one exfiltration pipe, two ponds (detention and retention), and two swales in central Florida, representing three runoff-detention methods, to detect any effect from infiltrating highway runoff. Concentrations of major ions, metals, and nutrients in groundwater and bottom sediments were measured from 1984 through 1986. At each study area, constituent concentrations in groundwater near the structure were compared to concentrations in groundwater from an upgradient control site. Groundwater quality data were also pooled by detention method and statistically compared to detect any significant differences between methods. Significantly greater mean phosphorus concentrations in groundwater near the exfiltration pipe than those in the control well was the only evidence of increasing constituent concentrations in groundwater near structures. The quality of water was more variable, and had greater constituent concentrations in the unsaturated zone than in the saturated zone near the exfiltration pipe. Values of water quality variables measured in groundwater at all study areas generally were within State drinking water standards. The main exception was dissolved iron, which commonly exceeded 300 micrograms/L at one swale and the detention pond. Results of the study indicate that natural processes occurring in soils attenuate inorganic constituent concentrations prior to reaching the receiving groundwater. However, organic compounds detected in bottom sediments at the retention pond indicate a potential problem that may eventually affect the quality of the receiving groundwater. (USGS)
Quality Improvement of Liver Ultrasound Images Using Fuzzy Techniques
Bayani, Azadeh; Langarizadeh, Mostafa; Radmard, Amir Reza; Nejad, Ahmadreza Farzaneh
2016-01-01
Background: Liver ultrasound images are so common and are applied so often to diagnose diffuse liver diseases like fatty liver. However, the low quality of such images makes it difficult to analyze them and diagnose diseases. The purpose of this study, therefore, is to improve the contrast and quality of liver ultrasound images. Methods: In this study, a number of image contrast enhancement algorithms which are based on fuzzy logic were applied to liver ultrasound images - in which the view of kidney is observable - using Matlab2013b to improve the image contrast and quality which has a fuzzy definition; just like image contrast improvement algorithms using a fuzzy intensification operator, contrast improvement algorithms applying fuzzy image histogram hyperbolization, and contrast improvement algorithms by fuzzy IF-THEN rules. Results: With the measurement of Mean Squared Error and Peak Signal to Noise Ratio obtained from different images, fuzzy methods provided better results, and their implementation - compared with histogram equalization method - led both to the improvement of contrast and visual quality of images and to the improvement of liver segmentation algorithms results in images. Conclusion: Comparison of the four algorithms revealed the power of fuzzy logic in improving image contrast compared with traditional image processing algorithms. Moreover, contrast improvement algorithm based on a fuzzy intensification operator was selected as the strongest algorithm considering the measured indicators. This method can also be used in future studies on other ultrasound images for quality improvement and other image processing and analysis applications. PMID:28077898
Mohebifar, Rafat; Hasani, Hana; Barikani, Ameneh; Rafiei, Sima
2016-08-01
Providing high service quality is one of the main functions of health systems. Measuring service quality is the basic prerequisite for improving quality. The aim of this study was to evaluate the quality of service in teaching hospitals using importance-performance analysis matrix. A descriptive-analytic study was conducted through a cross-sectional method in six academic hospitals of Qazvin, Iran, in 2012. A total of 360 patients contributed to the study. The sampling technique was stratified random sampling. Required data were collected based on a standard questionnaire (SERVQUAL). Data analysis was done through SPSS version 18 statistical software and importance-performance analysis matrix. The results showed a significant gap between importance and performance in all five dimensions of service quality (p < 0.05). In reviewing the gap, "reliability" (2.36) and "assurance" (2.24) dimensions had the highest quality gap and "responsiveness" had the lowest gap (1.97). Also, according to findings, reliability and assurance were in Quadrant (I), empathy was in Quadrant (II), and tangibles and responsiveness were in Quadrant (IV) of the importance-performance matrix. The negative gap in all dimensions of quality shows that quality improvement is necessary in all dimensions. Using quality and diagnosis measurement instruments such as importance-performance analysis will help hospital managers with planning of service quality improvement and achieving long-term goals.
Impedance Flow Cytometry as a Tool to Analyze Microspore and Pollen Quality.
Heidmann, Iris; Di Berardino, Marco
2017-01-01
Analyzing pollen quality in an efficient and reliable manner is of great importance to the industries involved in seed and fruit production, plant breeding, and plant research. Pollen quality parameters, viability and germination capacity, are analyzed by various staining methods or by in vitro germination assays, respectively. These methods are time-consuming, species-dependent, and require a lab environment. Furthermore, the obtained viability data are often poorly related to in vivo pollen germination and seed set. Here, we describe a quick, label-free method to analyze pollen using microfluidic chips inserted into an impedance flow cytometer (IFC). Using this approach, pollen quality parameters are determined by a single measurement in a species-independent manner. The advantage of this protocol is that pollen viability and germination can be analyzed quickly by a reliable and standardized method.
Evaluation of air quality zone classification methods based on ambient air concentration exposure.
Freeman, Brian; McBean, Ed; Gharabaghi, Bahram; Thé, Jesse
2017-05-01
Air quality zones are used by regulatory authorities to implement ambient air standards in order to protect human health. Air quality measurements at discrete air monitoring stations are critical tools to determine whether an air quality zone complies with local air quality standards or is noncompliant. This study presents a novel approach for evaluation of air quality zone classification methods by breaking the concentration distribution of a pollutant measured at an air monitoring station into compliance and exceedance probability density functions (PDFs) and then using Monte Carlo analysis with the Central Limit Theorem to estimate long-term exposure. The purpose of this paper is to compare the risk associated with selecting one ambient air classification approach over another by testing the possible exposure an individual living within a zone may face. The chronic daily intake (CDI) is utilized to compare different pollutant exposures over the classification duration of 3 years between two classification methods. Historical data collected from air monitoring stations in Kuwait are used to build representative models of 1-hr NO 2 and 8-hr O 3 within a zone that meets the compliance requirements of each method. The first method, the "3 Strike" method, is a conservative approach based on a winner-take-all approach common with most compliance classification methods, while the second, the 99% Rule method, allows for more robust analyses and incorporates long-term trends. A Monte Carlo analysis is used to model the CDI for each pollutant and each method with the zone at a single station and with multiple stations. The model assumes that the zone is already in compliance with air quality standards over the 3 years under the different classification methodologies. The model shows that while the CDI of the two methods differs by 2.7% over the exposure period for the single station case, the large number of samples taken over the duration period impacts the sensitivity of the statistical tests, causing the null hypothesis to fail. Local air quality managers can use either methodology to classify the compliance of an air zone, but must accept that the 99% Rule method may cause exposures that are statistically more significant than the 3 Strike method. A novel method using the Central Limit Theorem and Monte Carlo analysis is used to directly compare different air standard compliance classification methods by estimating the chronic daily intake of pollutants. This method allows air quality managers to rapidly see how individual classification methods may impact individual population groups, as well as to evaluate different pollutants based on dosage and exposure when complete health impacts are not known.
The quality of instruments to assess the process of shared decision making: A systematic review.
Gärtner, Fania R; Bomhof-Roordink, Hanna; Smith, Ian P; Scholl, Isabelle; Stiggelbout, Anne M; Pieterse, Arwen H
2018-01-01
To inventory instruments assessing the process of shared decision making and appraise their measurement quality, taking into account the methodological quality of their validation studies. In a systematic review we searched seven databases (PubMed, Embase, Emcare, Cochrane, PsycINFO, Web of Science, Academic Search Premier) for studies investigating instruments measuring the process of shared decision making. Per identified instrument, we assessed the level of evidence separately for 10 measurement properties following a three-step procedure: 1) appraisal of the methodological quality using the COnsensus-based Standards for the selection of health status Measurement INstruments (COSMIN) checklist, 2) appraisal of the psychometric quality of the measurement property using three possible quality scores, 3) best-evidence synthesis based on the number of studies, their methodological and psychometrical quality, and the direction and consistency of the results. The study protocol was registered at PROSPERO: CRD42015023397. We included 51 articles describing the development and/or evaluation of 40 shared decision-making process instruments: 16 patient questionnaires, 4 provider questionnaires, 18 coding schemes and 2 instruments measuring multiple perspectives. There is an overall lack of evidence for their measurement quality, either because validation is missing or methods are poor. The best-evidence synthesis indicated positive results for a major part of instruments for content validity (50%) and structural validity (53%) if these were evaluated, but negative results for a major part of instruments when inter-rater reliability (47%) and hypotheses testing (59%) were evaluated. Due to the lack of evidence on measurement quality, the choice for the most appropriate instrument can best be based on the instrument's content and characteristics such as the perspective that they assess. We recommend refinement and validation of existing instruments, and the use of COSMIN-guidelines to help guarantee high-quality evaluations.
Nedza, Susan M
2009-12-01
As the government attempts to address the high cost of health care in the United States, the issues being confronted include variations in the quality of care administered and the inconsistent application of scientifically proven treatments. To improve quality, methods of measurement and reporting with rewards or, eventually, penalties based on performance, must be developed. To date, well-intentioned national policy initiatives, such as value-based purchasing, have focused primarily on the measurement of discrete events and on attempts to construct incentives. While important, the current approach alone cannot improve quality, ensure equitability, decrease variability, and optimize value. Additional thought-leadership is required, both theoretical and applied. Academic medical centers' (AMCs') scholarly and practical participation is needed. Although quality cannot be sustainably improved without measurement, the existing measures alone do not ensure quality. There is not enough evidence to support strong measure development and, further, not enough insight regarding whether the existing measures have their intended effect of enhancing health care delivery that results in quality outcomes for patients. Perhaps the only way that the United States health care system will achieve a standard of quality care is through the strong embrace, effective engagement, intellectual insights, educational contributions, and practical applications in AMCs. Quality will never be achieved through public policies or national initiatives alone but instead through the commitment of the academic community to forward the science of performance measurement and to ensure that measurement leads to better health outcomes for our nation.
2013-01-01
Background Across the developing world health care services are most often delivered in the private sector and social franchising has emerged, over the past decade, as an increasingly popular method of private sector health care delivery. Social franchising aims to strengthen business practices through economies of scale: branding clinics and purchasing drugs in bulk at wholesale prices. While quality is one of the established goals of social franchising, there is no published documentation of how quality levels might be set in the context of franchised private providers, nor what quality assurance measures can or should exist within social franchises. The aim of this study was to better understand the quality assurance systems currently utilized in social franchises, and to determine if there are shared standards for practice or quality outcomes that exist across programs. Methods The study included three data sources and levels of investigation: 1) Self-reported program data; 2) Scoping telephone interviews; and 3) In-depth field interviews and clinic visits. Results Social Franchises conceive of quality assurance not as an independent activity, but rather as a goal that is incorporated into all areas of franchise operations, including recruitment, training, monitoring of provider performance, monitoring of client experience and the provision of feedback. Conclusions These findings are the first evidence to support the 2002 conceptual model of social franchising which proposed that the assurance of quality was one of the three core goals of all social franchises. However, while quality is important to franchise programs, quality assurance systems overall are not reflective of the evidence to-date on quality measurement or quality improvement best practices. Future research in this area is needed to better understand the details of quality assurance systems as applied in social franchise programs, the process by which quality assurance becomes a part of the organizational culture, and the components of a quality assurance system that are most correlated with improved quality of clinical care for patients. PMID:23286899
Selective corneal optical aberration (SCOA) for customized ablation
NASA Astrophysics Data System (ADS)
Jean, Benedikt J.; Bende, Thomas
2001-06-01
Wavefront analysis still have some technical problems which may be solved within the next years. There are some limitations to use wavefront as a diagnostic tool for customized ablation alone. An ideal combination would be wavefront and topography. Meanwhile Selective Corneal Aberration is a method to visualize the optical quality of a measured corneal surface. It is based on a true measured 3D elevation information of a video topometer. Thus values can be interpreted either using Zernike polynomials or visualized as a so called color coded surface quality map. This map gives a quality factor (corneal aberration) for each measured point of the cornea.
Neural network approximation of tip-abrasion effects in AFM imaging
NASA Astrophysics Data System (ADS)
Bakucz, Peter; Yacoot, Andrew; Dziomba, Thorsten; Koenders, Ludger; Krüger-Sehm, Rolf
2008-06-01
The abrasion (wear) of tips used in scanning force microscopy (SFM) directly influences SFM image quality and is therefore of great relevance to quantitative SFM measurements. The increasing implementation of automated SFM measurement schemes has become a strong driving force for increasing efforts towards the prediction of tip wear, as it needs to be ensured that the probe is exchanged before a level of tip wear is reached that adversely affects the measurement quality. In this paper, we describe the identification of tip abrasion in a system of SFM measurements. We attempt to model the tip-abrasion process as a concatenation of a mapping from the measured AFM data to a regression vector and a nonlinear mapping from the regressor space to the output space. The mapping is formed as a basis function expansion. Feedforward neural networks are used to approximate this mapping. The one-hidden layer network gave a good quality of fit for the training and test sets for the tip-abrasion system. We illustrate our method with AFM measurements of both fine periodic structures and randomly oriented sharp features and compare our neural network results with those obtained using other methods.
40 CFR 417.191 - Specialized definitions.
Code of Federal Regulations, 2010 CFR
2010-07-01
... methylene blue active substances amenable to measurement by the method described in “Methods for Chemical Analysis of Water and Wastes,” 1971, Environmental Protection Agency, Analytical Quality Control Laboratory...
NASA Astrophysics Data System (ADS)
Zubiaga, A.; García, J. A.; Plazaola, F.; Tuomisto, F.; Zúñiga-Pérez, J.; Muñoz-Sanjosé, V.
2007-05-01
We present a method, based on positron annihilation spectroscopy, to obtain information on the defect depth profile of layers grown over high-quality substrates. We have applied the method to the case of ZnO layers grown on sapphire, but the method can be very easily generalized to other heterostructures (homostructures) where the positron mean diffusion length is small enough. Applying the method to the ratio of W and S parameters obtained from Doppler broadening measurements, W/S plots, it is possible to determine the thickness of the layer and the defect profile in the layer, when mainly one defect trapping positron is contributing to positron trapping at the measurement temperature. Indeed, the quality of such characterization is very important for potential technological applications of the layer.
[Study on seed quality test and quality standard of Lonicera macranthoides].
Zhang, Ying; Xu, Jin; Li, Long-Yun; Cui, Guang-Lin; She, Yue-Hui
2016-04-01
Referring to the rules for agricultural seed testing (GB/T 3543-1995) issued by China, the test of sampling, purity, thousand seed weight, moisture, viability, relative conductivity and germination rate had been studied for seed quality test methods of Lonicera macranthoides. The seed quality from 38 different collection areas was measured to establish quality classification standard by K-means clustering. The results showed that at least 7.5 g seeds should be sampled, and passed 20-mesh sieve for purity analysis.The 500-seed method used to measure thousand seed weight. The moisture was determined by crushed seeds dried in high temperature (130±2) ℃ for 3 h.The viability determined by 25 ℃ 0.1% TTC stained 5h in dark. 1.0 g seeds soaked in 50 ml ultra pure water in 25 ℃ for 12 hours to determine the relative conductivity. The seed by 4 ℃stratification for 80 days were cultured on paper at 15 ℃. Quality of the seeds from different areas was divided into three grades. The primary seed quality classification standard was established.The I grade and II grade were recommend use in production. Copyright© by the Chinese Pharmaceutical Association.
Suda, Hiromi Kimura
2015-10-01
Bone quality, which was defined as "the sum total of characteristics of the bone that influence the bone's resistance to fracture" at the National Institute of Health (NIH) conference in 2001, contributes to bone strength in combination with bone mass. Bone mass is often measured as bone mineral density (BMD) and, consequently, can be quantified easily. On the other hand, bone quality is composed of several factors such as bone structure, bone matrix, calcification degree, microdamage, and bone turnover, and it is not easy to obtain data for the various factors. Therefore, it is difficult to quantify bone quality. We are eager to develop new measurement methods for bone quality that make it possible to determine several factors associated with bone quality at the same time. Analytic methods based on Raman and FTIR spectroscopy have attracted a good deal of attention as they can provide a good deal of chemical information about hydroxyapatite and collagen, which are the main components of bone. A lot of studies on bone quality using Raman and FTIR imaging have been reported following the development of the two imaging systems. Thus, both Raman and FTIR imaging appear to be promising new bone morphometric techniques.
Correlating wine quality indicators to chemical and sensory measurements.
Hopfer, Helene; Nelson, Jenny; Ebeler, Susan E; Heymann, Hildegarde
2015-05-12
Twenty-seven commercial Californian Cabernet Sauvignon wines of different quality categories were analyzed with sensory and chemical methods. Correlations between five quality proxies-points awarded during a wine competition, wine expert scores, retail price, vintage, and wine region-were correlated to sensory attributes, volatile compounds, and elemental composition. Wine quality is a multi-faceted construct, incorporating many different layers. Depending on the quality proxy studied, significant correlations between quality and attributes, volatiles and elements were found, some of them previously reported in the literature.
Quality of College Life (QCL) of Students: Developing and Validating a Measure of Well-Being
ERIC Educational Resources Information Center
Sirgy, M. Joseph; Grzeskowiak, Stephan; Rahtz, Don
2007-01-01
This paper reports a study designed to develop and validate a measure of quality of college life (QCL) of students. Using a theoretical model based on a build-up approach to QCL, the authors provide an empirical examination of various hierarchical components and their properties. The method is executed in two stages. The first stage is used to…
Measurement system with high accuracy for laser beam quality.
Ke, Yi; Zeng, Ciling; Xie, Peiyuan; Jiang, Qingshan; Liang, Ke; Yang, Zhenyu; Zhao, Ming
2015-05-20
Presently, most of the laser beam quality measurement system collimates the optical path manually with low efficiency and low repeatability. To solve these problems, this paper proposed a new collimated method to improve the reliability and accuracy of the measurement results. The system accuracy controlled the position of the mirror to change laser beam propagation direction, which can realize the beam perpendicularly incident to the photosurface of camera. The experiment results show that the proposed system has good repeatability and the measuring deviation of M2 factor is less than 0.6%.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Not Available
1990-08-01
The purpose of this volume of the QA Handbook is to provide information and guidance for both the meteorologist and the non-meteorologist who must make judgments about the validity of data and accuracy of measurement systems. Care has been taken to provide definitions to help those making these judgments to communicate without ambiguity. Methods are described in the handbook which will objectively define the quality of measurements so the non-meteorologist can communicate with the meteorologist or environmental scientist or engineer with precision of meaning.
What Is Nursing Home Quality and How Is It Measured?
Castle, Nicholas G.; Ferguson, Jamie C.
2010-01-01
Purpose: In this commentary, we examine nursing home quality and indicators that have been used to measure nursing home quality. Design and Methods: A brief review of the history of nursing home quality is presented that provides some context and insight into currently used quality indicators. Donabedian's structure, process, and outcome (SPO) model is used to frame the discussion. Current quality indicators and quality initiatives are discussed, including those included in the Facility Quality Indicator Profile Report, Nursing Home Compare, deficiency citations included as part of Medicare/Medicaid certification, and the Advancing Excellence Campaign. Results: Current quality indicators are presented as a mix of structural, process, and outcome measures, each of which has noted advantages and disadvantages. We speculate on steps that need to be taken in the future to address and potentially improve the quality of care provided by nursing homes, including report cards, pay for performance, market-based incentives, and policy developments in the certification process. Areas for future research are identified throughout the review. Implications: We conclude that improvements in nursing home quality have likely occurred, but improvements are still needed. PMID:20631035
Zhang, Guowen; Ni, Yongnian; Churchill, Jane; Kokot, Serge
2006-09-15
In food production, reliable analytical methods for confirmation of purity or degree of spoilage are required by growers, food quality assessors, processors, and consumers. Seven parameters of physico-chemical properties, such as acid number, colority, density, refractive index, moisture and volatility, saponification value and peroxide value, were measured for quality and adulterated soybean, as well as quality and rancid rapeseed oils. Chemometrics methods were then applied for qualitative and quantitative discrimination and prediction of the oils by methods such exploratory principal component analysis (PCA), partial least squares (PLS), radial basis function-artificial neural networks (RBF-ANN), and multi-criteria decision making methods (MCDM), PROMETHEE and GAIA. In general, the soybean and rapeseed oils were discriminated by PCA, and the two spoilt oils behaved differently with the rancid rapeseed samples exhibiting more object scatter on the PC-scores plot, than the adulterated soybean oil. For the PLS and RBF-ANN prediction methods, suitable training models were devised, which were able to predict satisfactorily the category of the four different oil samples in the verification set. Rank ordering with the use of MCDM models indicated that the oil types can be discriminated on the PROMETHEE II scale. For the first time, it was demonstrated how ranking of oil objects with the use of PROMETHEE and GAIA could be utilized as a versatile indicator of quality performance of products on the basis of a standard selected by the stakeholder. In principle, this approach provides a very flexible method for assessment of product quality directly from the measured data.
STRONG LENS TIME DELAY CHALLENGE. II. RESULTS OF TDC1
DOE Office of Scientific and Technical Information (OSTI.GOV)
Liao, Kai; Treu, Tommaso; Marshall, Phil
2015-02-10
We present the results of the first strong lens time delay challenge. The motivation, experimental design, and entry level challenge are described in a companion paper. This paper presents the main challenge, TDC1, which consisted of analyzing thousands of simulated light curves blindly. The observational properties of the light curves cover the range in quality obtained for current targeted efforts (e.g., COSMOGRAIL) and expected from future synoptic surveys (e.g., LSST), and include simulated systematic errors. Seven teams participated in TDC1, submitting results from 78 different method variants. After describing each method, we compute and analyze basic statistics measuring accuracy (ormore » bias) A, goodness of fit χ{sup 2}, precision P, and success rate f. For some methods we identify outliers as an important issue. Other methods show that outliers can be controlled via visual inspection or conservative quality control. Several methods are competitive, i.e., give |A| < 0.03, P < 0.03, and χ{sup 2} < 1.5, with some of the methods already reaching sub-percent accuracy. The fraction of light curves yielding a time delay measurement is typically in the range f = 20%-40%. It depends strongly on the quality of the data: COSMOGRAIL-quality cadence and light curve lengths yield significantly higher f than does sparser sampling. Taking the results of TDC1 at face value, we estimate that LSST should provide around 400 robust time-delay measurements, each with P < 0.03 and |A| < 0.01, comparable to current lens modeling uncertainties. In terms of observing strategies, we find that A and f depend mostly on season length, while P depends mostly on cadence and campaign duration.« less
Duncan, Fiona; Haigh, Carol
2013-10-01
To explore and improve the quality of continuous epidural analgesia for pain relief using Statistical Process Control tools. Measuring the quality of pain management interventions is complex. Intermittent audits do not accurately capture the results of quality improvement initiatives. The failure rate for one intervention, epidural analgesia, is approximately 30% in everyday practice, so it is an important area for improvement. Continuous measurement and analysis are required to understand the multiple factors involved in providing effective pain relief. Process control and quality improvement Routine prospectively acquired data collection started in 2006. Patients were asked about their pain and side effects of treatment. Statistical Process Control methods were applied for continuous data analysis. A multidisciplinary group worked together to identify reasons for variation in the data and instigated ideas for improvement. The key measure for improvement was a reduction in the percentage of patients with an epidural in severe pain. The baseline control charts illustrated the recorded variation in the rate of several processes and outcomes for 293 surgical patients. The mean visual analogue pain score (VNRS) was four. There was no special cause variation when data were stratified by surgeons, clinical area or patients who had experienced pain before surgery. Fifty-seven per cent of patients were hypotensive on the first day after surgery. We were able to demonstrate a significant improvement in the failure rate of epidurals as the project continued with quality improvement interventions. Statistical Process Control is a useful tool for measuring and improving the quality of pain management. The applications of Statistical Process Control methods offer the potential to learn more about the process of change and outcomes in an Acute Pain Service both locally and nationally. We have been able to develop measures for improvement and benchmarking in routine care that has led to the establishment of a national pain registry. © 2013 Blackwell Publishing Ltd.
Data-quality measures for stakeholder-implemented watershed-monitoring programs
Greve, Adrienne I.
2002-01-01
Community-based watershed groups, many of which collect environmental data, have steadily increased in number over the last decade. The data generated by these programs are often underutilized due to uncertainty in the quality of data produced. The incorporation of data-quality measures into stakeholder monitoring programs lends statistical validity to data. Data-quality measures are divided into three steps: quality assurance, quality control, and quality assessment. The quality-assurance step attempts to control sources of error that cannot be directly quantified. This step is part of the design phase of a monitoring program and includes clearly defined, quantifiable objectives, sampling sites that meet the objectives, standardized protocols for sample collection, and standardized laboratory methods. Quality control (QC) is the collection of samples to assess the magnitude of error in a data set due to sampling, processing, transport, and analysis. In order to design a QC sampling program, a series of issues needs to be considered: (1) potential sources of error, (2) the type of QC samples, (3) inference space, (4) the number of QC samples, and (5) the distribution of the QC samples. Quality assessment is the process of evaluating quality-assurance measures and analyzing the QC data in order to interpret the environmental data. Quality assessment has two parts: one that is conducted on an ongoing basis as the monitoring program is running, and one that is conducted during the analysis of environmental data. The discussion of the data-quality measures is followed by an example of their application to a monitoring program in the Big Thompson River watershed of northern Colorado.
ERIC Educational Resources Information Center
Hahn, William G.; Bart, Barbara D.
2003-01-01
Business students were taught a total quality management-based outlining process for course readings and a tally method to measure learning efficiency. Comparison of 233 who used the process and 99 who did not showed that the group means of users' test scores were 12.4 points higher than those of nonusers. (Contains 25 references.) (SK)
Liew, S K; Carlson, N W
1992-05-20
A simple method for obtaining a collimated near-unity aspect ratio output beam from laser sources with extremely large (> 100:1) aspect ratios is demonstrated by using a distributed-feedback grating-surfaceemitting laser. Far-field power-in-the-bucket measurements of the laser indicate good beam quality with a high Strehl ratio.
A new method for reporting and interpreting textural composition of spawning gravel.
Fredrick B. Lotspeich; Fred H. Everest
1981-01-01
A new method has been developed for collecting, sorting, and interpreting gravel quality. Samples are collected with a tri-tube freeze-core device and dry-sorted by using sieves based on the Wentworth scale. An index to the quality of gravel is obtained by dividing geometric mean particle size by the sorting coefficient (a measure of the distribution of grain sizes) of...
ERIC Educational Resources Information Center
Waugh, Russell F.; Riddoch, Jane V.
2007-01-01
There are few studies measuring the effects on painting quality of playing background classical music at special schools. Primary students with severe intellectual disabilities (N=24) were taught abstract painting in a two-part method. The first part involved a Pictorial Only method and the second, immediately following it, involved a Pictorial…
Dehlendorf, Christine; Henderson, Jillian T; Vittinghoff, Eric; Grumbach, Kevin; Levy, Kira; Schmittdiel, Julie; Lee, Jennifer; Schillinger, Dean; Steinauer, Jody
2016-07-01
Health communication and interpersonal skills are increasingly emphasized in the measurement of health care quality, yet there is limited research on the association of interpersonal care with health outcomes. As approximately 50% of pregnancies in the United States are unintended, whether interpersonal communication influences contraceptive use is of public health importance. The aim of this study was to determine whether the quality of interpersonal care during contraceptive counseling is associated with contraceptive use over time. The Patient-Provider Communication about Contraception study is a prospective cohort study of 348 English-speaking women seen for contraceptive care, conducted between 2009 and 2012 in the San Francisco Bay Area. Quality of communication was assessed using a patient-reported interpersonal quality in family planning care measure based on the dimensions of patient-centered care. In addition, the clinical visit was audio recorded and its content coded according to the validated Four Habits Coding Scheme to assess interpersonal communication behaviors of clinicians. The outcome measures were 6-month continuation of the selected contraceptive method and use of a highly or moderately effective method at 6 months. Results were analyzed using mixed effect logistic regression models controlling for patient demographics, the clinic and the provider at which the visit occurred, and the method selected. Patient participants had a mean age of 26.8 years (SD 6.9 years); 46% were white, 26% Latina, and 28% black. Almost two-thirds of participants had an income of <200% of the Federal Poverty Level. Most of the women (73%) were making visits to a provider whom they had not seen before. Of the patient participants, 41% were still using their chosen contraceptive method at 6-month follow-up. Patients who reported high interpersonal quality of family planning care were more likely to maintain use of their chosen contraceptive method (adjusted odds ratio [aOR], 1.8; 95% CI, 1.1-3.0) and to be using a highly or moderately effective method at 6 months (aOR, 2.0; 95% CI, 1.2-3.5). In addition, 2 of the Four Habits were associated with contraceptive continuation; "invests in the beginning" (aOR, 2.3; 95% CI, 1.2-4.3) and "elicits the patient's perspective" (aOR, 1.8; 95% CI, 1.0-3.2). Our study provides evidence that the quality of interpersonal care, measured using both patient report and observation of provider behaviors, influences contraceptive use. These results provide support for ongoing attention to interpersonal communication as an important aspect of health care quality. The associations of establishing rapport and eliciting the patient perspective with contraceptive continuation are suggestive of areas of focus for provider communication skills training for contraceptive care. Copyright © 2016 Elsevier Inc. All rights reserved.
A standard for measuring metadata quality in spectral libraries
NASA Astrophysics Data System (ADS)
Rasaiah, B.; Jones, S. D.; Bellman, C.
2013-12-01
A standard for measuring metadata quality in spectral libraries Barbara Rasaiah, Simon Jones, Chris Bellman RMIT University Melbourne, Australia barbara.rasaiah@rmit.edu.au, simon.jones@rmit.edu.au, chris.bellman@rmit.edu.au ABSTRACT There is an urgent need within the international remote sensing community to establish a metadata standard for field spectroscopy that ensures high quality, interoperable metadata sets that can be archived and shared efficiently within Earth observation data sharing systems. Metadata are an important component in the cataloguing and analysis of in situ spectroscopy datasets because of their central role in identifying and quantifying the quality and reliability of spectral data and the products derived from them. This paper presents approaches to measuring metadata completeness and quality in spectral libraries to determine reliability, interoperability, and re-useability of a dataset. Explored are quality parameters that meet the unique requirements of in situ spectroscopy datasets, across many campaigns. Examined are the challenges presented by ensuring that data creators, owners, and data users ensure a high level of data integrity throughout the lifecycle of a dataset. Issues such as field measurement methods, instrument calibration, and data representativeness are investigated. The proposed metadata standard incorporates expert recommendations that include metadata protocols critical to all campaigns, and those that are restricted to campaigns for specific target measurements. The implication of semantics and syntax for a robust and flexible metadata standard are also considered. Approaches towards an operational and logistically viable implementation of a quality standard are discussed. This paper also proposes a way forward for adapting and enhancing current geospatial metadata standards to the unique requirements of field spectroscopy metadata quality. [0430] BIOGEOSCIENCES / Computational methods and data processing [0480] BIOGEOSCIENCES / Remote sensing [1904] INFORMATICS / Community standards [1912] INFORMATICS / Data management, preservation, rescue [1926] INFORMATICS / Geospatial [1930] INFORMATICS / Data and information governance [1946] INFORMATICS / Metadata [1952] INFORMATICS / Modeling [1976] INFORMATICS / Software tools and services [9810] GENERAL OR MISCELLANEOUS / New fields
NASA Technical Reports Server (NTRS)
Phillips, E. P.
1993-01-01
A second experimental Round Robin on the measurement of the crack opening load in fatigue crack growth tests has been completed by the ASTM Task Group E24.04.04 on Crack Closure Measurement and Analysis. Fourteen laboratories participated in the testing of aluminum alloy compact tension specimens. Opening-load measurements were made at three crack lengths during constant Delta K, constant stress ratio tests by most of the participants. Four participants made opening-load measurements during threshold tests. All opening-load measurements were based on the analysis of specimens compliance behavior, where the displacement/strain was measured either at the crack mouth or the mid-height back face location. The Round Robin data were analyzed for opening load using two non-subjective analysis methods: the compliance offset and the correlation coefficient methods. The scatter in the opening load results was significantly reduced when some of the results were excluded from the analysis population based on an accept/reject criterion for raw data quality. The compliance offset and correlation coefficient opening load analysis methods produced similar results for data populations that had been screened to eliminate poor quality data.
NASA Astrophysics Data System (ADS)
Lin, Tingting; Zhang, Siyuan; Zhang, Yang; Wan, Ling; Lin, Jun
2017-01-01
Compared with the other geophysical approaches, magnetic resonance sounding (MRS) technique is direct and nondestructive in subsurface water exploration. It provides water content distribution and estimates hydrogeological properties. The biggest challenge is that MRS measurement always suffers bad signal-to-noise ratio, and it can be carried out only far from sources of noise. To solve this problem, a series of de-noising methods are developed. However, most of them are post-processing, leading the data quality uncontrolled for in situ measurements. In the present study, a new approach that removal of correlated noise online is found to overcome the restriction. Based on LabVIEW, a method is provided to enable online data quality control by the way of realizing signal acquisition and noise filtering simultaneously. Using one or more reference coils, adaptive noise cancellation based on LabVIEW to eliminate the correlated noise is available for in situ measurements. The approach was examined through numerical simulation and field measurements. The correlated noise is mitigated effectively and the application of MRS measurements is feasible in high-level noise environment. The method shortens the measurement time and improves the measurement efficiency.
Quality Assurance handbook for air pollution measurement systems
DOE Office of Scientific and Technical Information (OSTI.GOV)
Not Available
1990-08-01
The purpose of this volume of the QA Handbook is to provide information and guidance for both the meteorologist and the non-meteorologist who must make judgments about the validity of data and accuracy of measurement systems. Care has been taken to provide definitions to help those making these judgments to communicate without ambiguity. Methods are described in the handbook which will objectively define the quality of measurements so the non-meteorologist can communicate with the meteorologist or environmental scientist or engineer with precision of meaning.
NASA Astrophysics Data System (ADS)
Karami, Shawgar; Madani, Hassan; Katibeh, Homayoon; Fatehi Marj, Ahmad
2018-03-01
Geostatistical methods are one of the advanced techniques used for interpolation of groundwater quality data. The results obtained from geostatistics will be useful for decision makers to adopt suitable remedial measures to protect the quality of groundwater sources. Data used in this study were collected from 78 wells in Varamin plain aquifer located in southeast of Tehran, Iran, in 2013. Ordinary kriging method was used in this study to evaluate groundwater quality parameters. According to what has been mentioned in this paper, seven main quality parameters (i.e. total dissolved solids (TDS), sodium adsorption ratio (SAR), electrical conductivity (EC), sodium (Na+), total hardness (TH), chloride (Cl-) and sulfate (SO4 2-)), have been analyzed and interpreted by statistical and geostatistical methods. After data normalization by Nscore method in WinGslib software, variography as a geostatistical tool to define spatial regression was compiled and experimental variograms were plotted by GS+ software. Then, the best theoretical model was fitted to each variogram based on the minimum RSS. Cross validation method was used to determine the accuracy of the estimated data. Eventually, estimation maps of groundwater quality were prepared in WinGslib software and estimation variance map and estimation error map were presented to evaluate the quality of estimation in each estimated point. Results showed that kriging method is more accurate than the traditional interpolation methods.
The Quest for Quality: How YoungStar Is Affecting Child Care in Milwaukee County
ERIC Educational Resources Information Center
Mueller, Betsy; Peterangelo, Joe; Henken, Rob
2016-01-01
The State of Wisconsin's YoungStar system was created by the Legislature and Governor in 2010 to "drive quality improvement in child care throughout the state." YoungStar uses a five-star system to rate child care providers based on several measures of quality, including staff education levels, learning environment, business methods, and…
ERIC Educational Resources Information Center
Svraka, E.; Loga, S.; Brown, I.
2011-01-01
Aims: This study endeavours to provide initial data on quality of life for families with adult children who have intellectual disabilities (ID) in the Canton of Sarajevo. Methods: The principal measure used was the "Family Quality of life Survey 2006-main caregivers of people with intellectual or developmental disabilities." The sample…
ERIC Educational Resources Information Center
Berger, Roland; Hänze, Martin
2015-01-01
We assessed the impact of expert students' instructional quality on the academic performance of novice students in 12th-grade physics classes organized in an expert model of cooperative learning ("jigsaw classroom"). The instructional quality of 129 expert students was measured by a newly developed rating system. As expected, when…
Parenting the Premature Infant: Balancing Vulnerability and Quality of Life
ERIC Educational Resources Information Center
Eiser, C.; Eiser, J. R.; Mayhew, A. G.; Gibson, A. T.
2005-01-01
Background: Relationships between child quality of life (QOL), maternal well-being and parenting were explored in a questionnaire study. Method: Mothers of 126 full-term (FT) and 91 pre-term (PT) infants during the child's second year of life completed measures of their own and the child's quality of life and behavioural difficulties. We developed…
Blending Key Ingredients to Assure Quality in Home Health Care.
ERIC Educational Resources Information Center
Griffith, Deloris G.
1986-01-01
Careful staff selection, training, and review are among the methods the author recommends to home care agencies striving to provide top-notch services. Discusses measuring the quality of care employees are providing, accreditation, and the benefits of accreditation. (CT)
WATER QUALITY AND SWIMMING-ASSOCIATED HEALTH EFFECTS
Evidence from various sources around the world indicate that there is a relationship between gastroenteritis in swimmers and the quality of the bathing water as measured with bacterial indicators of fecal contamination. Current EPA guidelines recommend the use of cultural method...
ERIC Educational Resources Information Center
Christ, Theodore J.; Monaghen, Barbara D.; Zopluoglu, Cengiz; Van Norman, Ethan R.
2013-01-01
Curriculum-based measurement of oral reading (CBM-R) is used to index the level and rate of student growth across the academic year. The method is frequently used to set student goals and monitor student progress. This study examined the diagnostic accuracy and quality of growth estimates derived from pre-post measurement using CBM-R data. A…
3D measurement by digital photogrammetry
NASA Astrophysics Data System (ADS)
Schneider, Carl T.
1993-12-01
Photogrammetry is well known in geodetic surveys as aerial photogrammetry or close range applications as architectural photogrammetry. The photogrammetric methods and algorithms combined with digital cameras and digital image processing methods are now introduced for industrial applications as automation and quality control. The presented paper will describe the photogrammetric and digital image processing algorithms and the calibration methods. These algorithms and methods were demonstrated with application examples. These applications are a digital photogrammetric workstation as a mobil multi purpose 3D measuring tool and a tube measuring system as an example for a single purpose tool.
NASA Astrophysics Data System (ADS)
Espinar, B.; Blanc, P.; Wald, L.; Hoyer-Klick, C.; Schroedter-Homscheidt, M.; Wanderer, T.
2012-04-01
Meteorological data measured by ground stations are often a key element in the development and validation of methods exploiting satellite images. These data are considered as a reference against which satellite-derived estimates are compared. Long-term radiation and meteorological measurements are available from a large number of measuring stations. However, close examination of the data often reveals a lack of quality, often for extended periods of time. This lack of quality has been the reason, in many cases, of the rejection of large amount of available data. The quality data must be checked before their use in order to guarantee the inputs for the methods used in modelling, monitoring, forecast, etc. To control their quality, data should be submitted to several conditions or tests. After this checking, data that are not flagged by any of the test is released as a plausible data. In this work, it has been performed a bibliographical research of quality control tests for the common meteorological variables (ambient temperature, relative humidity and wind speed) and for the usual solar radiometrical variables (horizontal global and diffuse components of the solar radiation and the beam normal component). The different tests have been grouped according to the variable and the average time period (sub-hourly, hourly, daily and monthly averages). The quality test may be classified as follows: • Range checks: test that verify values are within a specific range. There are two types of range checks, those based on extrema and those based on rare observations. • Step check: test aimed at detecting unrealistic jumps or stagnation in the time series. • Consistency checks: test that verify the relationship between two or more time series. The gathered quality tests are applicable for all latitudes as they have not been optimized regionally nor seasonably with the aim of being generic. They have been applied to ground measurements in several geographic locations, what result in the detection of some control tests that are no longer adequate, due to different reasons. After the modification of some test, based in our experience, a set of quality control tests is now presented, updated according to technology advances and classified. The presented set of quality tests allows radiation and meteorological data to be tested in order to know their plausibility to be used as inputs in theoretical or empirical methods for scientific research. The research leading to those results has partly receive funding from the European Union's Seventh Framework Programme (FP7/2007-2013) under Grant Agreement no. 262892 (ENDORSE project).
Gosselin, Robert C; Adcock, Dorothy M; Bates, Shannon M; Douxfils, Jonathan; Favaloro, Emmanuel J; Gouin-Thibault, Isabelle; Guillermo, Cecilia; Kawai, Yohko; Lindhoff-Last, Edelgard; Kitchen, Steve
2018-03-01
This guidance document was prepared on behalf of the International Council for Standardization in Haematology (ICSH) for providing haemostasis-related guidance documents for clinical laboratories. This inaugural coagulation ICSH document was developed by an ad hoc committee, comprised of international clinical and laboratory direct acting oral anticoagulant (DOAC) experts. The committee developed consensus recommendations for laboratory measurement of DOACs (dabigatran, rivaroxaban, apixaban and edoxaban), which would be germane for laboratories assessing DOAC anticoagulation. This guidance document addresses all phases of laboratory DOAC measurements, including pre-analytical (e.g. preferred time sample collection, preferred sample type, sample stability), analytical (gold standard method, screening and quantifying methods) and post analytical (e.g. reporting units, quality assurance). The committee addressed the use and limitations of screening tests such as prothrombin time, activated partial thromboplastin time as well as viscoelastic measurements of clotting blood and point of care methods. Additionally, the committee provided recommendations for the proper validation or verification of performance of laboratory assays prior to implementation for clinical use, and external quality assurance to provide continuous assessment of testing and reporting method. Schattauer GmbH Stuttgart.
Nuchal translucency and first trimester risk assessment: a systematic review.
Sheppard, Celeste; Platt, Lawrence D
2007-06-01
First-trimester risk assessment for fetal aneuploidy using nuchal translucency (NT) measurement is rapidly gaining popularity in the United States. In combination with maternal serum markers in the first trimester, the screening performance is exceptionally good, with detection rates of more than 80% at a screen positive rate of 5%. Recently, the method has been validated for screening for Down syndrome and other aneuploidies in multicenter trials in the United States and elsewhere. Compliance with established criteria for measurement of the NT is essential to achieve uniform reliability and high screening test sensitivity. There is an international consensus about the importance of specific training in the NT examination, conformity to standards of NT measurement, and regular audit for quality assurance. In the United States, the Nuchal Translucency Quality Review program has been developed to administer credentialing and quality review for registered practitioners. The Nuchal Translucency Quality Review credentials signify the proficiency of the sonographer or sonologist in NT measurement and participation in a regular quality assurance audit. We encourage accreditation of clinical sites offering first-trimester risk assessment to ensure the highest quality care.
Key Performance Indicators in Radiology: You Can't Manage What You Can't Measure.
Harvey, H Benjamin; Hassanzadeh, Elmira; Aran, Shima; Rosenthal, Daniel I; Thrall, James H; Abujudeh, Hani H
2016-01-01
Quality assurance (QA) is a fundamental component of every successful radiology operation. A radiology QA program must be able to efficiently and effectively monitor and respond to quality problems. However, as radiology QA has expanded into the depths of radiology operations, the task of defining and measuring quality has become more difficult. Key performance indicators (KPIs) are highly valuable data points and measurement tools that can be used to monitor and evaluate the quality of services provided by a radiology operation. As such, KPIs empower a radiology QA program to bridge normative understandings of health care quality with on-the-ground quality management. This review introduces the importance of KPIs in health care QA, a framework for structuring KPIs, a method to identify and tailor KPIs, and strategies to analyze and communicate KPI data that would drive process improvement. Adopting a KPI-driven QA program is both good for patient care and allows a radiology operation to demonstrate measurable value to other health care stakeholders. Copyright © 2015 Mosby, Inc. All rights reserved.
Quality-of-Life Assessment of Fibroid Treatment Options and Outcomes
Kong, Chung Yin; Tempany, Clare M.; Swan, J. Shannon
2011-01-01
Purpose: To obtain utilities (a unit of measure of a person’s relative preferences for different health states compared with death or worst possible outcome) for uterine fibroids before and after treatment and to measure short-term utilities for the following uterine fibroid treatments: abdominal hysterectomy, magnetic resonance (MR) imaging–guided focused ultrasound surgery, and uterine artery embolization (UAE). Materials and Methods: This retrospective study was approved by the institutional review board and was HIPAA compliant. The waiting trade-off (WTO) method, a variation on the time trade-off (TTO) method, is used to obtain utilities for diagnostic procedures on the basis of the fact that people wait longer to avoid noxious tests and/or procedures. The WTO method provides short-term quality of life tolls in terms of quality-adjusted life-weeks by scaling wait times with pre- and posttreatment utilities. Utilities for uterine fibroids before and after treatment were obtained with the TTO method and a visual analog scale (VAS) by using a questionnaire administered by means of a phone interview. WTO wait times were adjusted for quality of life with VAS and TTO utilities and a transformation of VAS. Wait times were compared by using nonparametric tests. The study participants included 62 patients who had undergone abdominal hysterectomy, 74 who had undergone UAE, and 61 who had undergone MR imaging–guided focused ultrasound surgery. Results: Quality of life increased with all treatments. The median WTO wait time was higher for hysterectomy (21.6 weeks) than for UAE or MR imaging–guided focused ultrasound surgery (14.1 weeks for both) (P < .05). Quality-adjusted life-week tolls were smaller when scaled according to TTO than when scaled according to VAS or transformation of VAS. Conclusion: Quality of life increased after all fibroid treatments. WTO is feasible for assessing the quality-adjusted morbidity of treatment procedures. © RSNA, 2011 Supplemental material: http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.11100704/-/DC1 PMID:21364084
Validation of no-reference image quality index for the assessment of digital mammographic images
NASA Astrophysics Data System (ADS)
de Oliveira, Helder C. R.; Barufaldi, Bruno; Borges, Lucas R.; Gabarda, Salvador; Bakic, Predrag R.; Maidment, Andrew D. A.; Schiabel, Homero; Vieira, Marcelo A. C.
2016-03-01
To ensure optimal clinical performance of digital mammography, it is necessary to obtain images with high spatial resolution and low noise, keeping radiation exposure as low as possible. These requirements directly affect the interpretation of radiologists. The quality of a digital image should be assessed using objective measurements. In general, these methods measure the similarity between a degraded image and an ideal image without degradation (ground-truth), used as a reference. These methods are called Full-Reference Image Quality Assessment (FR-IQA). However, for digital mammography, an image without degradation is not available in clinical practice; thus, an objective method to assess the quality of mammograms must be performed without reference. The purpose of this study is to present a Normalized Anisotropic Quality Index (NAQI), based on the Rényi entropy in the pseudo-Wigner domain, to assess mammography images in terms of spatial resolution and noise without any reference. The method was validated using synthetic images acquired through an anthropomorphic breast software phantom, and the clinical exposures on anthropomorphic breast physical phantoms and patient's mammograms. The results reported by this noreference index follow the same behavior as other well-established full-reference metrics, e.g., the peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM). Reductions of 50% on the radiation dose in phantom images were translated as a decrease of 4dB on the PSNR, 25% on the SSIM and 33% on the NAQI, evidencing that the proposed metric is sensitive to the noise resulted from dose reduction. The clinical results showed that images reduced to 53% and 30% of the standard radiation dose reported reductions of 15% and 25% on the NAQI, respectively. Thus, this index may be used in clinical practice as an image quality indicator to improve the quality assurance programs in mammography; hence, the proposed method reduces the subjectivity inter-observers in the reporting of image quality assessment.
Quality of Care for Work-associated Carpal Tunnel Syndrome
Nuckols, Teryl; Conlon, Craig; Robbins, Michael; Dworsky, Michael; Lai, Julie; Roth, Carol P.; Levitan, Barbara; Seabury, Seth; Seelam, Rachana; Asch, Steven M.
2017-01-01
Objective To evaluate the quality of care provided to individuals with workers’ compensation claims related to CTS and identify patient characteristics associated with receiving better care. Methods We recruited subjects with new claims for CTS from 30 occupational clinics affiliated with Kaiser Permanente Northern California. We applied 45 process-oriented quality measures to 477 subjects’ medical records, and performed multivariate logistic regression to identify patient characteristics associated with quality. Results Overall, 81.6% of care adhered to recommended standards. Certain tasks related to assessing and managing activity were underused. Patients with classic/probable Katz diagrams, positive electrodiagnostic tests, and higher incomes received better care. However, age, gender, and race/ethnicity were not associated with quality. Conclusions Care processes for work-associated CTS frequently adhered to quality measures. Clinical factors were more strongly associated with quality than demographic and socioeconomic ones. PMID:28045797
A succinct rating scale for radiology report quality
Yang, Chengwu; Ouyang, Tao; Peterson, Christine M; Sarwani, Nabeel I; Tappouni, Rafel; Bruno, Michael
2014-01-01
Context: Poorly written radiology reports are common among residents and are a significant challenge for radiology education. While training may improve report quality, a professionally developed reliable and valid scale to measure report quality does not exist. Objectives: To develop a measurement tool for report quality, the quality of report scale, with rigorous validation through empirical data. Methods: A research team of an experienced psychometrician and six senior radiologists conducted qualitative and quantitative studies. Five items were identified for the quality of report scale, each measuring a distinct aspect of report quality. Two dedicated training sessions were designed and implemented to help residents generate high-quality reports. In a blinded fashion, the quality of report scale was applied to 804 randomly selected reports issued before (n = 403) and after (n = 401) training. Full-scale psychometrical assessments were implemented onto the quality of report scale’s item- and scale-scores from the reports. The quality of report scale scores were correlated with report professionalism and attendings’ preference and were compared pre-/post-training. Results: The quality of report scale showed sound psychometrical properties, with high validity and reliability. Reports with higher quality of report scale score were more professional and preferable by attendings. Training improved the quality of report scale score, empirically validating the quality of report scale further. Conclusion: While succinct and practitioner friendly, the quality of report scale is a reliable and valid measure of radiology report quality and has the potential to be easily adapted to other fields such as pathology, where similar training would be beneficial. PMID:26770756
NASA Astrophysics Data System (ADS)
Haslauer, C. P.; Allmendinger, M.; Gnann, S.; Heisserer, T.; Bárdossy, A.
2017-12-01
The basic problem of geostatistics is to estimate the primary variable (e.g. groundwater quality, nitrate) at an un-sampled location based on point measurements at locations in the vicinity. Typically, models are being used that describe the spatial dependence based on the geometry of the observation network. This presentation demonstrates methods that take the following properties additionally into account: the statistical distribution of the measurements, a different degree of dependence in different quantiles, censored measurements, the composition of categorical additional information in the neighbourhood (exhaustive secondary information), and the spatial dependence of a dependent secondary variable, possibly measured with a different observation network (non-exhaustive secondary data). Two modelling approaches are demonstrated individually and combined: The non-stationarity in the marginal distribution is accounted for by locally mixed distribution functions that depend on the composition of the categorical variable in the neighbourhood of each interpolation location. This methodology is currently being implemented for operational use at the environmental state agency of Baden-Württemberg. An alternative to co-Kriging in copula space with an arbitrary number of secondary parameters is presented: The method performs better than traditional techniques if the primary variable is undersampled and does not produce erroneous negative estimates. Even more, the quality of the uncertainty estimates is much improved. The worth of the secondary information is thoroughly evaluated. The improved geostatistical hydrogeological models are being analyzed using measurements of a large observation network ( 2500 measurement locations) in the state of Baden-Württemberg ( 36.000 km2). Typical groundwater quality parameters such as nitrate, chloride, barium, antrazine, and desethylatrazine are being assessed, cross-validated, and compared with traditional geostatistical methods. The secondary information of land use is available on a 30m x 30m raster. We show that the presented methods are not only better estimators (e.g. in the sense of an average quadratic error), but exhibit a much more realistic structure of the uncertainty and hence are improvements compared to existing methods.
Muela, E; Sañudo, C; Campo, M M; Medel, I; Beltrán, J A
2010-04-01
This study evaluated the effect of freezing method (FM) (air blast freezer, freezing tunnel, or nitrogen chamber) and frozen storage duration (FSD) (1, 3, or 6 months) on the instrumental measurements of quality of thawed lamb, aged for a total of 72 h, throughout a 10-d display period, compared to the quality of fresh meat. pH, colour, lipid oxidation, thawing, and cooking losses in Longissimus thoracis and lumborum muscle, were determined following standard methods. FM affected yellowness, FSD redness and thawing losses, and both affected oxidation (increased as freezing rate decreased and/or as storage duration increased). When compared with fresh meat, the main differences appeared on oxidation (where a significant interaction between treatment (3FM x 3FSD + fresh meat) with display duration was detected), and on total losses (thaw + cook losses). Oxidation was lower in fresh meat, but values were not significantly different from those stored frozen for 1 month. Fresh meat had smaller total losses than did thawed meat, but losses were not significantly different from meat frozen in the freezing tunnel and stored frozen for 1 month. Display duration had a greater effect on instrumental quality parameters than did FM or FSD. pH, b*, and oxidation increased, and L* and a* decreased with an increase in the number of days on display. In conclusion, neither freezing method nor frozen storage up to 6 months influenced extensively the properties of lamb when instrumental measurements of quality were measured in meat that had been displayed for 1d after thawing. The small deterioration shown in this study should not give consumers concerns about frozen meat. 2009 Elsevier Ltd. All rights reserved.
Cook, T M; Coupe, M; Ku, T
2012-06-01
Measuring outcomes and quality in anaesthesia is challenging. In the UK, there is increased focus on these as a result of changes in Department of Health strategy and the imminent introduction of mandatory revalidation for all doctors. A definition of quality may differ according to the observer's standpoint and numerous performance measures may contribute to overall quality. Patients, surgeons, anaesthetic assistants, recovery nurses, managers, and anaesthetic peers are each likely to have their own perspective on 'anaesthetic quality' and would perhaps suggest different metrics to measure it. Speed, efficiency, cost, interpersonal skills, complication rates, patient recorded outcome measures, and satisfaction are all valid as quality measures, but none alone captures anaesthetic quality. Performance data are frequently presented as single-dimension measurements (e.g. pain, postoperative nausea and vomiting, patient satisfaction), but this does not address the fact that two or more domains may be closely related (e.g. use of regional anaesthesia and quality of analgesia) or in opposition (e.g. use of regional anaesthesia and speed). We introduce the concept of a 'performance polygon' as a tool to represent multidimensional performance assessment. This method of data presentation encourages balanced appraisal of anaesthetic quality. Performance polygons may be used to compare individual performance with peers, published outcome norms, trends in performance over time, to explore aspects of team performance and potentially capture data that are required for medical revalidation. Performance polygons enable easy comparison with any relevant data set and are a visual tool that potentially has wider applications in healthcare quality improvement.
[Points of view: the role of quality measurement from the Federal Joint Committee's perspective].
Klakow-Franck, Regina
2014-01-01
The Federal Joint Committee (G-BA) is a central decision-making body that issues binding directives to ensure the quality of both inpatient and outpatient health care services within the German Statutory Health Insurance system. Quality measurement on the basis of quality indicators has proceeded furthest in the field of external quality assurance (QA) of inpatient services. Originally designed for quality development in a "protected environment" through learning from better practices, it has been faced with new expectations since competitive elements have been introduced into the health care system. The economisation of medicine is de facto the driving force of the development of QA measures. In terms of health policy, the 2013 coalition agreement includes "a renaissance of the concept of quality competition". In particular, this is meant to strengthen the decision-making options of insured persons by creating more transparency into the quality of not only inpatient but also outpatient care and, if necessary, to support the possibility of selective agreements with individual health insurance funds. The campaign planned to improve the quality of hospitals also provides for a quality-oriented advancement of hospital planning and funding; and the Federal Joint Committee, supported by the new Institute for Quality Assurance and Transparency in the Healthcare System in accordance with Section 137a of Book V of the Social Code (SGB V) in the GKV-FQWG version will be assigned new tasks within this context, too. On the whole, the measures already agreed upon in the Act to Improve the Financial Structure and Quality of the Statutory Health Insurance System (GKV-FQWG) and—as far as can now be anticipated—the proceedings of the working group set up between the German government and the German federal states indicate that there is a high need to improve the methods and tools of external quality assurance available, starting with questions about the validity of the quality indicators used and their relevance to patient care. Special issues and tasks require the development of new methods and tools. The need for paying more attention to the patient perspective will pose a particular challenge to future quality measurement. Additional information about the QA documentation of health care providers and the basis of social data that should be used preferentially can be gained from patient surveys. Despite the high political expectations (for example, concerning the development of online charts comparing the quality of inpatient care delivery), the Federal Joint Committee should not overlook the necessity of embedding quality measurement and public reporting into a comprehensive quality framework which can be used to promote continuous quality improvement through a structured feedback of the results to health care providers. In addition, we need a consistent patient orientation and a systematic evaluation of the QA measures employed. By networking more closely with evidence-based medicine and health services research, quality assurance may give rise to a systematic quality research from which genuine quality and care objectives can be derived and which, as an integral part of a "learning care", supports a patient-oriented advancement of care structures. Copyright © 2014. Published by Elsevier GmbH.
Quality of vision in refractive and cataract surgery, indirect measurers: review article.
Parede, Taís Renata Ribeira; Torricelli, André Augusto Miranda; Mukai, Adriana; Vieira Netto, Marcelo; Bechara, Samir Jacob
2013-01-01
Visual acuity is the measurement of an individual's ability to recognize details of an object in a space. Visual function measurements in clinical ophthalmology are limited by factors such as maximum contrast and so it might not adequately reflect the real vision conditions at that moment as well as the subjective aspects of the world perception by the patient. The objective of a successful vision-restoring surgery lies not only in gaining visual acuity lines, but also in vision quality. Therefore, refractive and cataract surgeries have the responsibility of achieving quality results. It is difficult to define quality of vision by a single parameter, and the main functional-vision tests are: contrast sensitivity, disability glare, intraocular stray light and aberrometry. In the current review the different components of the visual function are explained and the several available methods to assess the vision quality are described.
Beaton, Alan A; Gruneberg, Michael M; Hyde, Christopher; Shufflebottom, Alex; Sykes, Robert N
2005-07-01
Ellis and Beaton (1993a) reported that the keyword method of learning enhanced memory of foreign vocabulary items when receptive learning was measured. However, for productive learning, rote repetition was superior to the keyword method. The first two experiments reported here show that, in comparison with rote repetition, both receptive and productive learning can be enhanced by the keyword method, provided that the quality of the keyword images is adequate. In a third experiment using a subset of words from Ellis and Beaton (1993a), the finding they reported, that for productive learning rote repetition was superior to the keyword method, was reversed. The quality of keyword images will vary from study to study and any generalisation regarding the efficacy of the keyword method must take this into account.
Determination of Dornic Acidity as a Method to Select Donor Milk in a Milk Bank
Garcia-Lara, Nadia Raquel; Escuder-Vieco, Diana; Chaves-Sánchez, Fernando; De la Cruz-Bertolo, Javier; Pallas-Alonso, Carmen Rosa
2013-01-01
Abstract Background Dornic acidity may be an indirect measurement of milk's bacteria content and its quality. There are no uniform criteria among different human milk banks on milk acceptance criteria. The main aim of this study is to report the correlation between Dornic acidity and bacterial growth in donor milk in order to validate the Dornic acidity value as an adequate method to select milk prior to its pasteurization. Materials and Methods From 105 pools, 4-mL samples of human milk were collected. Dornic acidity measurement and culture in blood and McConkey's agar cultures were performed. Based on Dornic acidity degrees, we classified milk into three quality categories: top quality (acidity <4°D), intermediate (acidity between 4°D and 7°D), and milk unsuitable to be consumed (acidity ≥8°D). Spearman's correlation coefficient was used to perform statistical analysis. Results Seventy percent of the samples had Dornic acidity under 4°D, and 88% had a value under 8°D. A weak positive correlation was observed between the bacterial growth in milk and Dornic acidity. The overall discrimination performance of Dornic acidity was higher for predicting growth of Gram-negative organisms. In milk with Dornic acidity of ≥4°D, such a measurement has a sensitivity of 100% for detecting all the samples with bacterial growth with Gram-negative bacteria of over 105 colony-forming units/mL. Conclusions The correlation between Dornic acidity and bacterial growth in donor milk is weak but positive. The measurement of Dornic acidity could be considered as a simple and economical method to select milk to pasteurize in a human milk bank based in quality and safety criteria. PMID:23373435
Development and validation of a new Prescription Quality Index
Hassan, Norul Badriah; Ismail, Hasanah Che; Naing, Lin; Conroy, Ronán M; Abdul Rahman, Abdul Rashid
2010-01-01
AIMS The aims were to develop and validate a new Prescription Quality Index (PQI) for the measurement of prescription quality in chronic diseases. METHODS The PQI were developed and validated based on three separate surveys and one pilot study. Criteria were developed based on literature search, discussions and brainstorming sessions. Validity of the criteria was examined using modified Delphi method. Pre-testing was performed on 30 patients suffering from chronic diseases. The modified version was then subjected to reviews by pharmacists and clinicians in two separate surveys. The rater-based PQI with 22 criteria was then piloted in 120 patients with chronic illnesses. Results were analysed using SPSS version 12.0.1 RESULTS Exploratory principal components analysis revealed multiple factors contributing to prescription quality. Cronbach's α for the entire 22 criteria was 0.60. The average intra-rater and inter-rater reliability showed good to moderate stability (intraclass correlation coefficient 0.76 and 0.52, respectively). The PQI was significantly and negatively correlated with age (correlation coefficient −0.34, P < 0.001), number of drugs in prescriptions (correlation coefficient −0.51, P < 0.001) and number of chronic diseases/conditions (correlation coefficient −0.35, P < 0.001). CONCLUSIONS The PQI is a promising new instrument for measuring prescription quality. It has been shown that the PQI is a valid, reliable and responsive tool to measure quality of prescription in chronic diseases. PMID:20840442
Histogram Matching Extends Acceptable Signal Strength Range on Optical Coherence Tomography Images
Chen, Chieh-Li; Ishikawa, Hiroshi; Wollstein, Gadi; Bilonick, Richard A.; Sigal, Ian A.; Kagemann, Larry; Schuman, Joel S.
2015-01-01
Purpose. We minimized the influence of image quality variability, as measured by signal strength (SS), on optical coherence tomography (OCT) thickness measurements using the histogram matching (HM) method. Methods. We scanned 12 eyes from 12 healthy subjects with the Cirrus HD-OCT device to obtain a series of OCT images with a wide range of SS (maximal range, 1–10) at the same visit. For each eye, the histogram of an image with the highest SS (best image quality) was set as the reference. We applied HM to the images with lower SS by shaping the input histogram into the reference histogram. Retinal nerve fiber layer (RNFL) thickness was automatically measured before and after HM processing (defined as original and HM measurements), and compared to the device output (device measurements). Nonlinear mixed effects models were used to analyze the relationship between RNFL thickness and SS. In addition, the lowest tolerable SSs, which gave the RNFL thickness within the variability margin of manufacturer recommended SS range (6–10), were determined for device, original, and HM measurements. Results. The HM measurements showed less variability across a wide range of image quality than the original and device measurements (slope = 1.17 vs. 4.89 and 1.72 μm/SS, respectively). The lowest tolerable SS was successfully reduced to 4.5 after HM processing. Conclusions. The HM method successfully extended the acceptable SS range on OCT images. This would qualify more OCT images with low SS for clinical assessment, broadening the OCT application to a wider range of subjects. PMID:26066749
Measuring attitudes towards the dying process: A systematic review of tools.
Groebe, Bernadette; Strupp, Julia; Eisenmann, Yvonne; Schmidt, Holger; Schlomann, Anna; Rietz, Christian; Voltz, Raymond
2018-04-01
At the end of life, anxious attitudes concerning the dying process are common in patients in Palliative Care. Measurement tools can identify vulnerabilities, resources and the need for subsequent treatment to relieve suffering and support well-being. To systematically review available tools measuring attitudes towards dying, their operationalization, the method of measurement and the methodological quality including generalizability to different contexts. Systematic review according to the PRISMA Statement. Methodological quality of tools assessed by standardized review criteria. MEDLINE, PsycINFO, PsyndexTests and the Health and Psychosocial Instruments were searched from their inception to April 2017. A total of 94 identified studies reported the development and/or validation of 44 tools. Of these, 37 were questionnaires and 7 alternative measurement methods (e.g. projective measures). In 34 of 37 questionnaires, the emotional evaluation (e.g. anxiety) towards dying is measured. Dying is operationalized in general items ( n = 20), in several specific aspects of dying ( n = 34) and as dying of others ( n = 14). Methodological quality of tools was reported inconsistently. Nine tools reported good internal consistency. Of 37 tools, 4 were validated in a clinical sample (e.g. terminal cancer; Huntington disease), indicating questionable generalizability to clinical contexts for most tools. Many tools exist to measure attitudes towards the dying process using different endpoints. This overview can serve as decision framework on which tool to apply in which contexts. For clinical application, only few tools were available. Further validation of existing tools and potential alternative methods in various populations is needed.
Van Bogaert, Peter; Van Heusden, Danny; Verspuy, Martijn; Wouters, Kristien; Slootmans, Stijn; Van der Straeten, Johnny; Van Aken, Paul; White, Mark
2017-03-01
Aim To investigate the impact of the quality improvement program "Productive Ward - Releasing Time to Care™" using nurses' and midwives' reports of practice environment, burnout, quality of care, job outcomes, as well as workload, decision latitude, social capital, and engagement. Background Despite the requirement for health systems to improve quality and the proliferation of quality improvement programs designed for healthcare, the empirical evidence supporting large-scale quality improvement programs impacting patient satisfaction, staff engagement, and quality care remains sparse. Method A longitudinal study was performed in a large 600-bed acute care university hospital at two measurement intervals for nurse practice environment, burnout, and quality of care and job outcomes and three measurement intervals for workload, decision latitude, social capital, and engagement between June 2011 and November 2014. Results Positive results were identified in practice environment, decision latitude, and social capital. Less favorable results were identified in relation to perceived workload, emotional exhaustion. and vigor. Moreover, measures of quality of care and job satisfaction were reported less favorably. Conclusion This study highlights the need to further understand how to implement large-scale quality improvement programs so that they integrate with daily practices and promote "quality improvement" as "business as usual."
Measuring allostatic load in the workforce: a systematic review
MAUSS, Daniel; LI, Jian; SCHMIDT, Burkhard; ANGERER, Peter; JARCZOK, Marc N.
2014-01-01
The Allostatic Load Index (ALI) has been used to establish associations between stress and health-related outcomes. This review summarizes the measurement and methodological challenges of allostatic load in occupational settings. Databases of Medline, PubPsych, and Cochrane were searched to systematically explore studies measuring ALI in working adults following the PRISMA statement. Study characteristics, biomarkers and methods were tabulated. Methodological quality was evaluated using a standardized checklist. Sixteen articles (2003–2013) met the inclusion criteria, with a total of 39 (range 6–17) different variables used to calculate ALI. Substantial heterogeneity was observed in the number and type of biomarkers used, the analytic techniques applied and study quality. Particularly, primary mediators were not regularly included in ALI calculation. Consensus on methods to measure ALI in working populations is limited. Research should include longitudinal studies using multi-systemic variables to measure employees at risk for biological wear and tear. PMID:25224337
Cloud Properties Derived from Surface-Based Near-Infrared Spectral Transmission
NASA Technical Reports Server (NTRS)
Pilewskie, Peter; Twomey, S.; Gore, Warren J. Y. (Technical Monitor)
1996-01-01
Surface based near-infrared cloud spectral transmission measurements from a recent precipitation/cloud physics field study are used to determine cloud physical properties and relate them to other remote sensing and in situ measurements. Asymptotic formulae provide an effective means of closely approximating the qualitative and quantitative behavior of transmission computed by more laborious detailed methods. Relationships derived from asymptotic formulae are applied to measured transmission spectra to test objectively the internal consistency of data sets acquired during the field program and they confirmed the quality of the measurements. These relationships appear to be very useful in themselves, not merely as a quality control measure, but also a potentially valuable remote-sensing technique in its own right. Additional benefits from this analysis have been the separation of condensed water (cloud) transmission and water vapor transmission and the development of a method to derive cloud liquid water content.
Optical Remote Sensing Method to Determine Strength of Non-point Sources
2008-09-01
site due to its location, which is convenient to both USEPA’s RTP campus and the ARCADIS-Durham office. The site also has appropriate NPSs to measure...campus and the ARCADIS-Durham office. The site also has appropriate NPSs to measure that are of interest to regulators. 3.2.4 Tinker Air Force Base...Existing methodology for measuring NPSs is not directly comparable to the proposed PI-ORS method because the new method provides higher quality and
Measuring the quality of junior hospital doctors in general medicine.
Jones, J M; Sanderson, C F; Black, N A
1992-05-01
During the course of a larger study aimed at relating staffing levels of junior doctors in general medicine to the safety of the care provided, it became clear that consultant doctors considered the quality of their junior staff as being at least as important as the quantity. This paper describes several attempts to develop a feasible and valid method of measuring the quality of senior house officers (SHOs) and registrars using routinely available data. Having rejected three methods and had difficulties with three other methods, a modified Delphi survey was used to explore the extent to which consultants agreed on the key attributes of a high quality SHO or registrar. Sixty-seven (60%) of all consultants in the South-West Thames and Trent regions responded to two rounds of questionnaires which revealed communication skills as being consistently the most significant factor. This was confirmed in a second, anonymous survey of 198 (78%) SHO and registrar posts in the North-West Thames region. It also became clear that consultants viewed the quality of their own SHOs and registrars as generally high. This being so it is argued that the requirement to adjust for quality, when comparing SHO and registrar levels between hospitals, is of minor importance. These results also suggest that the explicit teaching of communication skills should have a high priority in undergraduate and postgraduate education.
Concept for a fast analysis method of the energy dissipation at mechanical joints
NASA Astrophysics Data System (ADS)
Wolf, Alexander; Brosius, Alexander
2017-10-01
When designing hybrid parts and structures one major challenge is the design, production and quality assessment of the joining points. While the polymeric composites themselves have excellent material properties, the necessary joints are often the weak link in assembled structures. This paper presents a method of measuring and analysing the energy dissipation at mechanical joining points of hybrid parts. A simplified model is applied based on the characteristic response to different excitation frequencies and amplitudes. The dissipation from damage is the result of relative moments between joining partners und damaged fibres within the composite, whereas the visco-elastic material behaviour causes the intrinsic dissipation. The ambition is to transfer these research findings to the characterisation of mechanical joints in order to quickly assess the general quality of the joint with this non-destructive testing method. The inherent challenge for realising this method is the correct interpretation of the measured energy dissipation and its attribution to either a bad joining point or intrinsic material properties. In this paper the authors present the concept for energy dissipation measurements at different joining points. By inverse analysis a simplified fast semi-analytical model will be developed that allows for a quick basic quality assessment of a given joining point.
Aquatic environmental assessment of Lake Balaton in the light of physical-chemical water parameters.
Sebestyén, Vitkor; Németh, József; Juzsakova, Tatjana; Domokos, Endre; Kovács, Zsófia; Rédey, Ákos
2017-11-01
One of the issues of the Hungarian Water Management Strategy is the improvement and upgrading of the water of Lake Balaton. The Water Framework Directive (WFD) specifies and sets forth the achievement of the good ecological status. However, the assessment of the water quality of the lake as a complex system requires a comprehensive monitoring and evaluation procedure. Measurements were carried out around the Lake Balaton at ten different locations/sites and 13 physical-chemical parameters were monitored at each measurement site.For the interpretation of the water chemistry parameters the Aquatic Environmental Assessment (AEA) method devised by authors was used for the water body of the Lake Balaton. The AEA method can be used for all types of the water bodies since it is flexible and using individual weighting procedure for the water chemistry parameters comprehensive information can be obtain. The AEA method was compared with existing EIA methods according to a predefined criterion system and proved to be the most suitable tool for evaluating the environmental impacts in our study.On the basis of the results it can be concluded that the status of the quality of studied area on the Lake Balaton can be categorized as proper quality (from the outcome of the ten measurement sites this conclusion was reached at seven sites).
A new normalizing algorithm for BAC CGH arrays with quality control metrics.
Miecznikowski, Jeffrey C; Gaile, Daniel P; Liu, Song; Shepherd, Lori; Nowak, Norma
2011-01-01
The main focus in pin-tip (or print-tip) microarray analysis is determining which probes, genes, or oligonucleotides are differentially expressed. Specifically in array comparative genomic hybridization (aCGH) experiments, researchers search for chromosomal imbalances in the genome. To model this data, scientists apply statistical methods to the structure of the experiment and assume that the data consist of the signal plus random noise. In this paper we propose "SmoothArray", a new method to preprocess comparative genomic hybridization (CGH) bacterial artificial chromosome (BAC) arrays and we show the effects on a cancer dataset. As part of our R software package "aCGHplus," this freely available algorithm removes the variation due to the intensity effects, pin/print-tip, the spatial location on the microarray chip, and the relative location from the well plate. removal of this variation improves the downstream analysis and subsequent inferences made on the data. Further, we present measures to evaluate the quality of the dataset according to the arrayer pins, 384-well plates, plate rows, and plate columns. We compare our method against competing methods using several metrics to measure the biological signal. With this novel normalization algorithm and quality control measures, the user can improve their inferences on datasets and pinpoint problems that may arise in their BAC aCGH technology.
Gedvilas, Mindaugas; Ratautas, Karolis; Kacar, Elif; Stankevičienė, Ina; Jagminienė, Aldona; Norkus, Eugenijus; Li Pira, Nello; Račiukaitis, Gediminas
2016-01-01
In this work a novel colour-difference measurement method for the quality evaluation of copper deposited on a polymer is proposed. Laser-induced selective activation (LISA) was performed onto the surface of the polycarbonate/acrylonitrile butadiene styrene (PC/ABS) polymer by using nanosecond laser irradiation. The laser activated PC/ABS polymer was copper plated by using the electroless copper plating (ECP) procedure. The sheet resistance measured by using a four-point probe technique was found to decrease by the power law with the colour-difference of the sample images after LISA and ECP procedures. The percolation theory of the electrical conductivity of the insulator conductor mixture has been adopted in order to explain the experimental results. The new proposed method was used to determine an optimal set of the laser processing parameters for best plating conditions. PMID:26960432
Jha, S N; Narsaiah, K; Sharma, A D; Singh, M; Bansal, S; Kumar, R
2010-01-01
The king of fruits "Mango" (Mangifera indica L.) is very nutritious and rich in carotenes. India produces about 50% of the total world's mango. Many researchers have reported the maturity indices and quality parameters for determination of harvesting time and eating quality. The methods currently used for determination of quality of mango are mostly based on the biochemical analysis, which leads to destruction of the fruits. Numerous works are being carried out to explore some non-destructive methods such as Near Infrared (NIR), Nuclear Magnetic Resonance (NMR), X-ray and Computed Tomography (CT), electronic nose, machine vision and ultrasound for quality determination of fruits. This paper deals with some recent work reported on quality parameters, harvesting and post-harvest treatments in relation to quality of mango fruits and reviews on some of the potential non-destructive techniques that can be explored for quality determination of mango cultivars.
Continuing education: online monitoring of haemodialysis dose.
Vartia, Aarne
2018-01-25
Kt/V urea reflects the efficacy of haemodialysis scaled to patient size (urea distribution volume). The guidelines recommend monthly Kt/V measurements based on blood samples. Modern haemodialysis machines are equipped with accessories monitoring the dose online at every session without extra costs, blood samples and computers. To describe the principles, devices, benefits and shortcomings of online monitoring of haemodialysis dose. A critical literature overview and discussion. UV absorbance methods measure Kt/V, ionic dialysance Kt (product of clearance and treatment time; cleared volume without scaling). Both are easy and useful methods, but comparison is difficult due to problems in scaling of the dialysis dose to the patient's size. The best dose estimation method is the one which predicts the quality of life and survival most accurately. There is some evidence on the predictive value of ionic dialysance Kt, but more documentation is required on the UV method. Online monitoring is a useful tool in everyday quality assurance, but blood samples are still required for more accurate kinetic modelling. After reading this article the reader should be able to: Understand the elements of the Kt/V equation for dialysis dose. Compare and contrast different methods of measurement of dialysis dose. Reflect on the importance of adequate dialysis dose for patient survival and life quality. © 2018 European Dialysis and Transplant Nurses Association/European Renal Care Association.
Alonso-Caneiro, David; Sampson, Danuta M.; Chew, Avenell L.; Collins, Michael J.; Chen, Fred K.
2018-01-01
Adaptive optics flood illumination ophthalmoscopy (AO-FIO) allows imaging of the cone photoreceptor in the living human retina. However, clinical interpretation of the AO-FIO image remains challenging due to suboptimal quality arising from residual uncorrected wavefront aberrations and rapid eye motion. An objective method of assessing image quality is necessary to determine whether an AO-FIO image is suitable for grading and diagnostic purpose. In this work, we explore the use of focus measure operators as a surrogate measure of AO-FIO image quality. A set of operators are tested on data sets acquired at different focal depths and different retinal locations from healthy volunteers. Our results demonstrate differences in focus measure operator performance in quantifying AO-FIO image quality. Further, we discuss the potential application of the selected focus operators in (i) selection of the best quality AO-FIO image from a series of images collected at the same retinal location and (ii) assessment of longitudinal changes in the diseased retina. Focus function could be incorporated into real-time AO-FIO image processing and provide an initial automated quality assessment during image acquisition or reading center grading. PMID:29552404
Alonso-Caneiro, David; Sampson, Danuta M; Chew, Avenell L; Collins, Michael J; Chen, Fred K
2018-02-01
Adaptive optics flood illumination ophthalmoscopy (AO-FIO) allows imaging of the cone photoreceptor in the living human retina. However, clinical interpretation of the AO-FIO image remains challenging due to suboptimal quality arising from residual uncorrected wavefront aberrations and rapid eye motion. An objective method of assessing image quality is necessary to determine whether an AO-FIO image is suitable for grading and diagnostic purpose. In this work, we explore the use of focus measure operators as a surrogate measure of AO-FIO image quality. A set of operators are tested on data sets acquired at different focal depths and different retinal locations from healthy volunteers. Our results demonstrate differences in focus measure operator performance in quantifying AO-FIO image quality. Further, we discuss the potential application of the selected focus operators in (i) selection of the best quality AO-FIO image from a series of images collected at the same retinal location and (ii) assessment of longitudinal changes in the diseased retina. Focus function could be incorporated into real-time AO-FIO image processing and provide an initial automated quality assessment during image acquisition or reading center grading.
Air quality assessment on human well-being in the vicinity of quarry site
NASA Astrophysics Data System (ADS)
Ibrahim, W. H. W.; Marinie, E.; Yunus, J.; Asra, N.; Sukor, K. Mohd
2018-02-01
This study aims to investigate the variation of air pollutants associated with the quarry activities prior to classified distance from quarry site. Air pollutants were monitored with the use of instruments which are Rae System Multirae Lite Pumped (PGM-6208) to measure indoor air quality while TSI 8533 Dusttrack Drx Desktop Aerosol Monitor to measure outdoor air quality. Sampling will be replicated two times. The locations of quarry are at Bandar Saujana Putra and Taman Kajang Perdana 2, Selangor. The objectives of this study are to investigate the impact of quarry mining by preparing the suitable Indoor Air Quality Index and to prepare preventive measure for residential that caused from quarry mining activities. Both Qualitative and Quantitative approaches will be implemented in this study, which employed case study and interview survey. Both quarries identified previously will be the main case study. The Respondent’s interviews are from Local Authority and Quarry Management Staff while questionnaire surveys from selected residences. Measurement method will be used to measure the Particle Matter (PM2.5) for indoor and outdoor in selected resident’s area. However, this paper is primed to discuss the method used in this study. It is not only presents the beneficial information for future research on methodologies employed but also it is anticipated the benefit to environment which can increased residents’ well-being in the vicinity of quarry sites.
ERIC Educational Resources Information Center
Al Kuwaiti, Ahmed; Subbarayalu, Arun Vijay
2015-01-01
Students' Evaluating Teaching Effectiveness is one of the most widely accepted methods of measuring the Quality of Higher Education worldwide. The University of Dammam is currently performing several evaluations by students as required for academic accreditation by the National Commission for Academic Accreditation and Assessment. Of these, two of…
Seal coat quality : does low cost mean low quality? : project summary.
DOT National Transportation Integrated Search
2017-01-01
In the laboratory test program for aggregates, the research team found that the gravel aggregates, which are also SAC A aggregates, performed the best in terms of wear resistance as measured with the methods described here. The remaining aggregates, ...
Assessment of data quality needs for use in transportation applications.
DOT National Transportation Integrated Search
2013-02-01
The objective of this project is to investigate the data quality measures and how they are applied to travel time prediction. This project showcases a shortterm travel time prediction method that takes into account the data needs of the realtim...
RECREATIONAL WATER QUALITY AND SWIMMING ASSOCIATED HEALTH EFFECTS
The U.S. EPA's National Epidemiological and Environmental Assessment of Recreational Water study is currently underway with the goal of determining if new rapid methods for measuring water quality can be used to predict illness in swimmers. This lecture will provide a historical...
Infrared thermal integrity testing quality assurance test method to detect drilled shaft defects.
DOT National Transportation Integrated Search
2011-06-01
Thermal integrity profiling uses the measured temperature generated in curing concrete to assess the quality of cast in place concrete foundations (i.e. drilled shafts or ACIP piles) which can include effective shaft size (diameter and length), anoma...
Novel indicators of recreational water quality and swimming-associated illness
In the United States and elsewhere, recreational water quality is monitored for fecal indicator bacteria to help prevent swimming-associated illnesses. Standard methods to measure these bacteria take at least 24 hours to obtain results. Molecular approaches such as quantitative p...
Lauricella, Leticia L; Costa, Priscila B; Salati, Michele; Pego-Fernandes, Paulo M; Terra, Ricardo M
2018-06-01
Database quality measurement should be considered a mandatory step to ensure an adequate level of confidence in data used for research and quality improvement. Several metrics have been described in the literature, but no standardized approach has been established. We aimed to describe a methodological approach applied to measure the quality and inter-rater reliability of a regional multicentric thoracic surgical database (Paulista Lung Cancer Registry). Data from the first 3 years of the Paulista Lung Cancer Registry underwent an audit process with 3 metrics: completeness, consistency, and inter-rater reliability. The first 2 methods were applied to the whole data set, and the last method was calculated using 100 cases randomized for direct auditing. Inter-rater reliability was evaluated using percentage of agreement between the data collector and auditor and through calculation of Cohen's κ and intraclass correlation. The overall completeness per section ranged from 0.88 to 1.00, and the overall consistency was 0.96. Inter-rater reliability showed many variables with high disagreement (>10%). For numerical variables, intraclass correlation was a better metric than inter-rater reliability. Cohen's κ showed that most variables had moderate to substantial agreement. The methodological approach applied to the Paulista Lung Cancer Registry showed that completeness and consistency metrics did not sufficiently reflect the real quality status of a database. The inter-rater reliability associated with κ and intraclass correlation was a better quality metric than completeness and consistency metrics because it could determine the reliability of specific variables used in research or benchmark reports. This report can be a paradigm for future studies of data quality measurement. Copyright © 2018 American College of Surgeons. Published by Elsevier Inc. All rights reserved.
Glanz, Karen; Johnson, Lauren; Yaroch, Amy L; Phillips, Matthew; Ayala, Guadalupe X; Davis, Erica L
2016-04-01
This review describes available measures of retail food store environments, including data collection methods, characteristics of measures, the dimensions most commonly captured across methods, and their strengths and limitations. Articles were included if they were published between 1990 and 2015 in an English-language peer-reviewed journal and presented original research findings on the development and/or use of a measure or method to assess retail food store environments. Four sources were used, including literature databases, backward searching of identified articles, published reviews, and measurement registries. From 3,013 citations identified, 125 observational studies and 5 studies that used sales records were reviewed in-depth. Most studies were cross-sectional and based in the US. The most common tools used were the US Department of Agriculture's Thrifty Food Plan and the Nutrition Environment Measures Survey for Stores. The most common attribute captured was availability of healthful options, followed by price. Measurement quality indicators were minimal and focused mainly on assessments of reliability. Two widely used tools to measure retail food store environments are available and can be refined and adapted. Standardization of measurement across studies and reports of measurement quality (eg, reliability, validity) may better inform practice and policy changes. Copyright © 2016 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.
Cui, Ming; Xu, Lili; Wang, Huimin; Ju, Shaoqing; Xu, Shuizhu; Jing, Rongrong
2017-12-01
Measurement uncertainty (MU) is a metrological concept, which can be used for objectively estimating the quality of test results in medical laboratories. The Nordtest guide recommends an approach that uses both internal quality control (IQC) and external quality assessment (EQA) data to evaluate the MU. Bootstrap resampling is employed to simulate the unknown distribution based on the mathematical statistics method using an existing small sample of data, where the aim is to transform the small sample into a large sample. However, there have been no reports of the utilization of this method in medical laboratories. Thus, this study applied the Nordtest guide approach based on bootstrap resampling for estimating the MU. We estimated the MU for the white blood cell (WBC) count, red blood cell (RBC) count, hemoglobin (Hb), and platelets (Plt). First, we used 6months of IQC data and 12months of EQA data to calculate the MU according to the Nordtest method. Second, we combined the Nordtest method and bootstrap resampling with the quality control data and calculated the MU using MATLAB software. We then compared the MU results obtained using the two approaches. The expanded uncertainty results determined for WBC, RBC, Hb, and Plt using the bootstrap resampling method were 4.39%, 2.43%, 3.04%, and 5.92%, respectively, and 4.38%, 2.42%, 3.02%, and 6.00% with the existing quality control data (U [k=2]). For WBC, RBC, Hb, and Plt, the differences between the results obtained using the two methods were lower than 1.33%. The expanded uncertainty values were all less than the target uncertainties. The bootstrap resampling method allows the statistical analysis of the MU. Combining the Nordtest method and bootstrap resampling is considered a suitable alternative method for estimating the MU. Copyright © 2017 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.
Economic method for helical gear flank surface characterisation
NASA Astrophysics Data System (ADS)
Koulin, G.; Reavie, T.; Frazer, R. C.; Shaw, B. A.
2018-03-01
Typically the quality of a gear pair is assessed based on simplified geometric tolerances which do not always correlate with functional performance. In order to identify and quantify functional performance based parameters, further development of the gear measurement approach is required. Methodology for interpolation of the full active helical gear flank surface, from sparse line measurements, is presented. The method seeks to identify the minimum number of line measurements required to sufficiently characterise an active gear flank. In the form ground gear example presented, a single helix and three profile line measurements was considered to be acceptable. The resulting surfaces can be used to simulate the meshing engagement of a gear pair and therefore provide insight into functional performance based parameters. Therefore the assessment of the quality can be based on the predicted performance in the context of an application.
Researches of fruit quality prediction model based on near infrared spectrum
NASA Astrophysics Data System (ADS)
Shen, Yulin; Li, Lian
2018-04-01
With the improvement in standards for food quality and safety, people pay more attention to the internal quality of fruits, therefore the measurement of fruit internal quality is increasingly imperative. In general, nondestructive soluble solid content (SSC) and total acid content (TAC) analysis of fruits is vital and effective for quality measurement in global fresh produce markets, so in this paper, we aim at establishing a novel fruit internal quality prediction model based on SSC and TAC for Near Infrared Spectrum. Firstly, the model of fruit quality prediction based on PCA + BP neural network, PCA + GRNN network, PCA + BP adaboost strong classifier, PCA + ELM and PCA + LS_SVM classifier are designed and implemented respectively; then, in the NSCT domain, the median filter and the SavitzkyGolay filter are used to preprocess the spectral signal, Kennard-Stone algorithm is used to automatically select the training samples and test samples; thirdly, we achieve the optimal models by comparing 15 kinds of prediction model based on the theory of multi-classifier competition mechanism, specifically, the non-parametric estimation is introduced to measure the effectiveness of proposed model, the reliability and variance of nonparametric estimation evaluation of each prediction model to evaluate the prediction result, while the estimated value and confidence interval regard as a reference, the experimental results demonstrate that this model can better achieve the optimal evaluation of the internal quality of fruit; finally, we employ cat swarm optimization to optimize two optimal models above obtained from nonparametric estimation, empirical testing indicates that the proposed method can provide more accurate and effective results than other forecasting methods.
Kircher, J.E.; Dinicola, Richard S.; Middelburg, R.F.
1984-01-01
Monthly values were computed for water-quality constituents at four streamflow gaging stations in the Upper Colorado River basin for the determination of trends. Seasonal regression and seasonal Kendall trend analysis techniques were applied to two monthly data sets at each station site for four different time periods. A recently developed method for determining optimal water-discharge data-collection frequency was also applied to the monthly water-quality data. Trend analysis results varied with each monthly load computational method, period of record, and trend detection model used. No conclusions could be reached regarding which computational method was best to use in trend analysis. Time-period selection for analysis was found to be important with regard to intended use of the results. Seasonal Kendall procedures were found to be applicable to most data sets. Seasonal regression models were more difficult to apply and were sometimes of questionable validity; however, those results were more informative than seasonal Kendall results. The best model to use depends upon the characteristics of the data and the amount of trend information needed. The measurement-frequency optimization method had potential for application to water-quality data, but refinements are needed. (USGS)
QoS measurement of workflow-based web service compositions using Colored Petri net.
Nematzadeh, Hossein; Motameni, Homayun; Mohamad, Radziah; Nematzadeh, Zahra
2014-01-01
Workflow-based web service compositions (WB-WSCs) is one of the main composition categories in service oriented architecture (SOA). Eflow, polymorphic process model (PPM), and business process execution language (BPEL) are the main techniques of the category of WB-WSCs. Due to maturity of web services, measuring the quality of composite web services being developed by different techniques becomes one of the most important challenges in today's web environments. Business should try to provide good quality regarding the customers' requirements to a composed web service. Thus, quality of service (QoS) which refers to nonfunctional parameters is important to be measured since the quality degree of a certain web service composition could be achieved. This paper tried to find a deterministic analytical method for dependability and performance measurement using Colored Petri net (CPN) with explicit routing constructs and application of theory of probability. A computer tool called WSET was also developed for modeling and supporting QoS measurement through simulation.
Sohrabi, Mehdi; Parsi, Masoumeh; Sina, Sedigheh
2018-05-17
A diagnostic reference level is an advisory dose level set by a regulatory authority in a country as an efficient criterion for protection of patients from unwanted medical exposure. In computed tomography, the direct dose measurement and data collection methods are commonly applied for determination of diagnostic reference levels. Recently, a new quality-control-based dose survey method was proposed by the authors to simplify the diagnostic reference-level determination using a retrospective quality control database usually available at a regulatory authority in a country. In line with such a development, a prospective dual-purpose quality control dosimetry protocol is proposed for determination of diagnostic reference levels in a country, which can be simply applied by quality control service providers. This new proposed method was applied to five computed tomography scanners in Shiraz, Iran, and diagnostic reference levels for head, abdomen/pelvis, sinus, chest, and lumbar spine examinations were determined. The results were compared to those obtained by the data collection and quality-control-based dose survey methods, carried out in parallel in this study, and were found to agree well within approximately 6%. This is highly acceptable for quality-control-based methods according to International Atomic Energy Agency tolerance levels (±20%).
Boiret, Mathieu; Chauchard, Fabien
2017-01-01
Near-infrared (NIR) spectroscopy is a non-destructive analytical technique that enables better-understanding and optimization of pharmaceutical processes and final drug products. The use in line is often limited by acquisition speed and sampling area. This work focuses on performing a multipoint measurement at high acquisition speed at the end of the manufacturing process on a conveyor belt system to control both the distribution and the content of active pharmaceutical ingredient within final drug products, i.e., tablets. A specially designed probe with several collection fibers was developed for this study. By measuring spectral and spatial information, it provides physical and chemical knowledge on the final drug product. The NIR probe was installed on a conveyor belt system that enables the analysis of a lot of tablets. The use of these NIR multipoint measurement probes on a conveyor belt system provided an innovative method that has the potential to be used as a new paradigm to ensure the drug product quality at the end of the manufacturing process and as a new analytical method for the real-time release control strategy. Graphical abstract Use of near-infrared spectroscopy and multipoint measurements for quality control of pharmaceutical drug products.
A Unified Approach for Reporting ARM Measurement Uncertainties Technical Report
DOE Office of Scientific and Technical Information (OSTI.GOV)
Campos, E; Sisterson, Douglas
The U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility is observationally based, and quantifying the uncertainty of its measurements is critically important. With over 300 widely differing instruments providing over 2,500 datastreams, concise expression of measurement uncertainty is quite challenging. The ARM Facility currently provides data and supporting metadata (information about the data or data quality) to its users through a number of sources. Because the continued success of the ARM Facility depends on the known quality of its measurements, the Facility relies on instrument mentors and the ARM Data Quality Office (DQO) to ensure, assess,more » and report measurement quality. Therefore, an easily accessible, well-articulated estimate of ARM measurement uncertainty is needed. Note that some of the instrument observations require mathematical algorithms (retrievals) to convert a measured engineering variable into a useful geophysical measurement. While those types of retrieval measurements are identified, this study does not address particular methods for retrieval uncertainty. As well, the ARM Facility also provides engineered data products, or value-added products (VAPs), based on multiple instrument measurements. This study does not include uncertainty estimates for those data products. We propose here that a total measurement uncertainty should be calculated as a function of the instrument uncertainty (calibration factors), the field uncertainty (environmental factors), and the retrieval uncertainty (algorithm factors). The study will not expand on methods for computing these uncertainties. Instead, it will focus on the practical identification, characterization, and inventory of the measurement uncertainties already available in the ARM community through the ARM instrument mentors and their ARM instrument handbooks. As a result, this study will address the first steps towards reporting ARM measurement uncertainty: 1) identifying how the uncertainty of individual ARM measurements is currently expressed, 2) identifying a consistent approach to measurement uncertainty, and then 3) reclassifying ARM instrument measurement uncertainties in a common framework.« less
A Conceptual Framework for Quality of Care
Mosadeghrad, Ali Mohammad
2012-01-01
Despite extensive research on defining and measuring health care quality, little attention has been given to different stakeholders’ perspectives of high-quality health care services. The main purpose of this study was to explore the attributes of quality healthcare in the Iranian context. Exploratory in-depth individual and focus group interviews were conducted with key healthcare stakeholders including clients, providers, managers, policy makers, payers, suppliers and accreditation panel members to identify the healthcare service quality attributes and dimensions. Data analysis was carried out by content analysis, with the constant comparative method. Over 100 attributes of quality healthcare service were elicited and grouped into five categories. The dimensions were: efficacy, effectiveness, efficiency, empathy, and environment. Consequently, a comprehensive model of service quality was developed for health care context. The findings of the current study led to a conceptual framework of healthcare quality. This model leads to a better understanding of the different aspects of quality in health care and provides a better basis for defining, measuring and controlling quality of health care services. PMID:23922534
British Thoracic Society quality standards for home oxygen use in adults
Suntharalingam, Jay; Wilkinson, Tom; Annandale, Joseph; Davey, Claire; Fielding, Rhea; Freeman, Daryl; Gibbons, Michael; Hardinge, Maxine; Hippolyte, Sabrine; Knowles, Vikki; Lee, Cassandra; MacNee, William; Pollington, Jacqueline; Vora, Vandana; Watts, Trefor; Wijesinghe, Meme
2017-01-01
Introduction The purpose of the quality standards document is to provide healthcare professionals, commissioners, service providers and patients with a guide to standards of care that should be met for home oxygen provision in the UK, together with measurable markers of good practice. Quality statements are based on the British Thoracic Society (BTS) Guideline for Home Oxygen Use in Adults. Methods Development of BTS Quality Standards follows the BTS process of quality standard production based on the National Institute for Health and Care Excellence process manual for the development of quality standards. Results 10 quality statements have been developed, each describing a key marker of high-quality, cost-effective care for home oxygen use, and each statement is supported by quality measures that aim to improve the structure, process and outcomes of healthcare. Discussion BTS Quality Standards for home oxygen use in adults form a key part of the range of supporting materials that the society produces to assist in the dissemination and implementation of a guideline’s recommendations. PMID:29018527
Yan, Rui; Edwards, Thomas J; Pankratz, Logan M; Kuhn, Richard J; Lanman, Jason K; Liu, Jun; Jiang, Wen
2015-11-01
In electron tomography, accurate alignment of tilt series is an essential step in attaining high-resolution 3D reconstructions. Nevertheless, quantitative assessment of alignment quality has remained a challenging issue, even though many alignment methods have been reported. Here, we report a fast and accurate method, tomoAlignEval, based on the Beer-Lambert law, for the evaluation of alignment quality. Our method is able to globally estimate the alignment accuracy by measuring the goodness of log-linear relationship of the beam intensity attenuations at different tilt angles. Extensive tests with experimental data demonstrated its robust performance with stained and cryo samples. Our method is not only significantly faster but also more sensitive than measurements of tomogram resolution using Fourier shell correlation method (FSCe/o). From these tests, we also conclude that while current alignment methods are sufficiently accurate for stained samples, inaccurate alignments remain a major limitation for high resolution cryo-electron tomography. Copyright © 2015 Elsevier Inc. All rights reserved.
A fast cross-validation method for alignment of electron tomography images based on Beer-Lambert law
Yan, Rui; Edwards, Thomas J.; Pankratz, Logan M.; Kuhn, Richard J.; Lanman, Jason K.; Liu, Jun; Jiang, Wen
2015-01-01
In electron tomography, accurate alignment of tilt series is an essential step in attaining high-resolution 3D reconstructions. Nevertheless, quantitative assessment of alignment quality has remained a challenging issue, even though many alignment methods have been reported. Here, we report a fast and accurate method, tomoAlignEval, based on the Beer-Lambert law, for the evaluation of alignment quality. Our method is able to globally estimate the alignment accuracy by measuring the goodness of log-linear relationship of the beam intensity attenuations at different tilt angles. Extensive tests with experimental data demonstrated its robust performance with stained and cryo samples. Our method is not only significantly faster but also more sensitive than measurements of tomogram resolution using Fourier shell correlation method (FSCe/o). From these tests, we also conclude that while current alignment methods are sufficiently accurate for stained samples, inaccurate alignments remain a major limitation for high resolution cryo-electron tomography. PMID:26455556
Neubeck, Truls; Elg, Mattias; Schneider, Thomas; Andersson-Gäre, Boel
2014-01-01
Introduction: This study examines the use of quality-improvement (QI) methods in social services. Particularly the key aspects—generalizable knowledge, interprofessional teamwork, and measurements—are studied in projects from the QI program Forum for Values in Sweden. Methods: This is a mixed-method case study. Two projects using standard QI methods and tools as used in health care were chosen as critical cases to highlight some problems and prospects with the use of QI in social services. The cases were analyzed through documented results and qualitative interviews with participants one year after the QI projects ended. Results: The social service QI projects led to measurable improvements when they used standard methods and tools for QI in health care. One year after the projects, the improvements were either not continuously measured or not reported in any infrastructure for measurements. The study reveals that social services differ from health care regarding the availability and use of evidence, the role of professional expertise, and infrastructure for measurements. Conclusions: We argue that QI methods as used in health care are applicable in social services and can lead to measurable improvements. The study gives valuable insights for QI, not only in social services but also in health care, on how to assess and sustain improvements when infrastructures for measurements are lacking. In addition, when one forms QI teams, the focus should be on functions instead of professions, and QI methods can be used to support implementation of evidence-based practice. PMID:24867549
Computer applications in scientific balloon quality control
NASA Astrophysics Data System (ADS)
Seely, Loren G.; Smith, Michael S.
Seal defects and seal tensile strength are primary determinants of product quality in scientific balloon manufacturing; they therefore require a unit of quality measure. The availability of inexpensive and powerful data-processing tools can serve as the basis of a quality-trends-discerning analysis of products. The results of one such analysis are presently given in graphic form for use on the production floor. Software descriptions and their sample outputs are presented, together with a summary of overall and long-term effects of these methods on product quality.
LCD displays performance comparison by MTF measurement using the white noise stimulus method
NASA Astrophysics Data System (ADS)
Mitjà, Carles; Escofet, Jaume
2011-01-01
The amount of images produced to be viewed as soft copies on output displays are significantly increasing. This growing occurs at the expense of the images targeted to hard copy versions on paper or any other physical support. Even in the case of high quality hard copy production, people working in professional imaging uses different displays in selecting, editing, processing and showing images, from laptop screen to specialized high end displays. Then, the quality performance of these devices is crucial in the chain of decisions to be taken in image production. Metrics of this quality performance can help in the equipment acquisition. Different metrics and methods have been described to determine the quality performance of CRT and LCD computer displays in clinical area. One of most important metrics in this field is the device spatial frequency response obtained measuring the modulation transfer function (MTF). This work presents a comparison between the MTF of three different LCD displays, Apple MacBook Pro 15", Apple LED Cinema Display 24" and Apple iPhone4, measured by the white noise stimulus method, over vertical and horizontal directions. Additionally, different displays show particular pixels structure pattern. In order to identify this pixel structure, a set of high magnification images is taken from each display to be related with the respective vertical and horizontal MTF.
Assessment of visual landscape quality using IKONOS imagery.
Ozkan, Ulas Yunus
2014-07-01
The assessment of visual landscape quality is of importance to the management of urban woodlands. Satellite remote sensing may be used for this purpose as a substitute for traditional survey techniques that are both labour-intensive and time-consuming. This study examines the association between the quality of the perceived visual landscape in urban woodlands and texture measures extracted from IKONOS satellite data, which features 4-m spatial resolution and four spectral bands. The study was conducted in the woodlands of Istanbul (the most important element of urban mosaic) lying along both shores of the Bosporus Strait. The visual quality assessment applied in this study is based on the perceptual approach and was performed via a survey of expressed preferences. For this purpose, representative photographs of real scenery were used to elicit observers' preferences. A slide show comprising 33 images was presented to a group of 153 volunteers (all undergraduate students), and they were asked to rate the visual quality of each on a 10-point scale (1 for very low visual quality, 10 for very high). Average visual quality scores were calculated for landscape. Texture measures were acquired using the two methods: pixel-based and object-based. Pixel-based texture measures were extracted from the first principle component (PC1) image. Object-based texture measures were extracted by using the original four bands. The association between image texture measures and perceived visual landscape quality was tested via Pearson's correlation coefficient. The analysis found a strong linear association between image texture measures and visual quality. The highest correlation coefficient was calculated between standard deviation of gray levels (SDGL) (one of the pixel-based texture measures) and visual quality (r = 0.82, P < 0.05). The results showed that perceived visual quality of urban woodland landscapes can be estimated by using texture measures extracted from satellite data in combination with appropriate modelling techniques.
McCreesh, Karen M; Crotty, James M; Lewis, Jeremy S
2015-03-01
Narrowing of the subacromial space has been noted as a common feature of rotator cuff (RC) tendinopathy. It has been implicated in the development of symptoms and forms the basis for some surgical and rehabilitation approaches. Various radiological methods have been used to measure the subacromial space, which is represented by a two-dimensional measurement of acromiohumeral distance (AHD). A reliable method of measurement could be used to assess the impact of rehabilitation or surgical interventions for RC tendinopathy; however, there are no published reviews assessing the reliability of AHD measurement. The aim of this review was to systematically assess the evidence for the intrarater and inter-rater reliability of radiological methods of measuring AHD, in order to identify the most reliable method for use in RC tendinopathy. An electronic literature search was carried out and studies describing the reliability of any radiological method of measuring AHD in either healthy or RC tendinopathy groups were included. Eighteen studies met the inclusion criteria and were appraised by two reviewers using the Quality Appraisal for reliability Studies checklist. Eight studies were deemed to be of high methodological quality. Study weaknesses included lack of tester blinding, inadequate description of tester experience, lack of inclusion of symptomatic populations, poor reporting of statistical methods and unclear diagnosis. There was strong evidence for the reliability of ultrasound for measuring AHD, with moderate evidence for MRI and CT measures and conflicting evidence for radiographic methods. Overall, there was lack of research in RC tendinopathy populations, with only six studies including participants with shoulder pain. The results support the reliability of ultrasound and CT or MRI for the measurement of AHD; however, more studies in symptomatic populations are required. The reliability of AHD measurement using radiographs has not been supported by the studies reviewed. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.
Larsen, Camilla Marie; Juul-Kristensen, Birgit; Lund, Hans; Søgaard, Karen
2014-10-01
The aims were to compile a schematic overview of clinical scapular assessment methods and critically appraise the methodological quality of the involved studies. A systematic, computer-assisted literature search using Medline, CINAHL, SportDiscus and EMBASE was performed from inception to October 2013. Reference lists in articles were also screened for publications. From 50 articles, 54 method names were identified and categorized into three groups: (1) Static positioning assessment (n = 19); (2) Semi-dynamic (n = 13); and (3) Dynamic functional assessment (n = 22). Fifteen studies were excluded for evaluation due to no/few clinimetric results, leaving 35 studies for evaluation. Graded according to the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN checklist), the methodological quality in the reliability and validity domains was "fair" (57%) to "poor" (43%), with only one study rated as "good". The reliability domain was most often investigated. Few of the assessment methods in the included studies that had "fair" or "good" measurement property ratings demonstrated acceptable results for both reliability and validity. We found a substantially larger number of clinical scapular assessment methods than previously reported. Using the COSMIN checklist the methodological quality of the included measurement properties in the reliability and validity domains were in general "fair" to "poor". None were examined for all three domains: (1) reliability; (2) validity; and (3) responsiveness. Observational evaluation systems and assessment of scapular upward rotation seem suitably evidence-based for clinical use. Future studies should test and improve the clinimetric properties, and especially diagnostic accuracy and responsiveness, to increase utility for clinical practice.
Non-linear Multidimensional Optimization for use in Wire Scanner Fitting
NASA Astrophysics Data System (ADS)
Henderson, Alyssa; Terzic, Balsa; Hofler, Alicia; Center Advanced Studies of Accelerators Collaboration
2014-03-01
To ensure experiment efficiency and quality from the Continuous Electron Beam Accelerator at Jefferson Lab, beam energy, size, and position must be measured. Wire scanners are devices inserted into the beamline to produce measurements which are used to obtain beam properties. Extracting physical information from the wire scanner measurements begins by fitting Gaussian curves to the data. This study focuses on optimizing and automating this curve-fitting procedure. We use a hybrid approach combining the efficiency of Newton Conjugate Gradient (NCG) method with the global convergence of three nature-inspired (NI) optimization approaches: genetic algorithm, differential evolution, and particle-swarm. In this Python-implemented approach, augmenting the locally-convergent NCG with one of the globally-convergent methods ensures the quality, robustness, and automation of curve-fitting. After comparing the methods, we establish that given an initial data-derived guess, each finds a solution with the same chi-square- a measurement of the agreement of the fit to the data. NCG is the fastest method, so it is the first to attempt data-fitting. The curve-fitting procedure escalates to one of the globally-convergent NI methods only if NCG fails, thereby ensuring a successful fit. This method allows for the most optimal signal fit and can be easily applied to similar problems.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Uchida, Y., E-mail: h1312101@mailg.nc-toyama.ac.jp; Takada, E.; Fujisaki, A.
Neutron and γ-ray (n-γ) discrimination with a digital signal processing system has been used to measure the neutron emission profile in magnetic confinement fusion devices. However, a sampling rate must be set low to extend the measurement time because the memory storage is limited. Time jitter decreases a discrimination quality due to a low sampling rate. As described in this paper, a new charge comparison method was developed. Furthermore, automatic n-γ discrimination method was examined using a probabilistic approach. Analysis results were investigated using the figure of merit. Results show that the discrimination quality was improved. Automatic discrimination was appliedmore » using the EM algorithm and k-means algorithm.« less
Frost, Rachael; Levati, Sara; McClurg, Doreen; Brady, Marian; Williams, Brian
2017-06-01
To systematically review methods for measuring adherence used in home-based rehabilitation trials and to evaluate their validity, reliability, and acceptability. In phase 1 we searched the CENTRAL database, NHS Economic Evaluation Database, and Health Technology Assessment Database (January 2000 to April 2013) to identify adherence measures used in randomized controlled trials of allied health professional home-based rehabilitation interventions. In phase 2 we searched the databases of MEDLINE, Embase, CINAHL, Allied and Complementary Medicine Database, PsycINFO, CENTRAL, ProQuest Nursing and Allied Health, and Web of Science (inception to April 2015) for measurement property assessments for each measure. Studies assessing the validity, reliability, or acceptability of adherence measures. Two reviewers independently extracted data on participant and measure characteristics, measurement properties evaluated, evaluation methods, and outcome statistics and assessed study quality using the COnsensus-based Standards for the selection of health Measurement INstruments checklist. In phase 1 we included 8 adherence measures (56 trials). In phase 2, from the 222 measurement property assessments identified in 109 studies, 22 high-quality measurement property assessments were narratively synthesized. Low-quality studies were used as supporting data. StepWatch Activity Monitor validly and acceptably measured short-term step count adherence. The Problematic Experiences of Therapy Scale validly and reliably assessed adherence to vestibular rehabilitation exercises. Adherence diaries had moderately high validity and acceptability across limited populations. The Borg 6 to 20 scale, Bassett and Prapavessis scale, and Yamax CW series had insufficient validity. Low-quality evidence supported use of the Joint Protection Behaviour Assessment. Polar A1 series heart monitors were considered acceptable by 1 study. Current rehabilitation adherence measures are limited. Some possess promising validity and acceptability for certain parameters of adherence, situations, and populations and should be used in these situations. Rigorous evaluation of adherence measures in a broader range of populations is needed. Copyright © 2016 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.
Baradez, Marc-Olivier; Marshall, Damian
2011-01-01
The transition from traditional culture methods towards bioreactor based bioprocessing to produce cells in commercially viable quantities for cell therapy applications requires the development of robust methods to ensure the quality of the cells produced. Standard methods for measuring cell quality parameters such as viability provide only limited information making process monitoring and optimisation difficult. Here we describe a 3D image-based approach to develop cell distribution maps which can be used to simultaneously measure the number, confluency and morphology of cells attached to microcarriers in a stirred tank bioreactor. The accuracy of the cell distribution measurements is validated using in silico modelling of synthetic image datasets and is shown to have an accuracy >90%. Using the cell distribution mapping process and principal component analysis we show how cell growth can be quantitatively monitored over a 13 day bioreactor culture period and how changes to manufacture processes such as initial cell seeding density can significantly influence cell morphology and the rate at which cells are produced. Taken together, these results demonstrate how image-based analysis can be incorporated in cell quality control processes facilitating the transition towards bioreactor based manufacture for clinical grade cells. PMID:22028809
Baradez, Marc-Olivier; Marshall, Damian
2011-01-01
The transition from traditional culture methods towards bioreactor based bioprocessing to produce cells in commercially viable quantities for cell therapy applications requires the development of robust methods to ensure the quality of the cells produced. Standard methods for measuring cell quality parameters such as viability provide only limited information making process monitoring and optimisation difficult. Here we describe a 3D image-based approach to develop cell distribution maps which can be used to simultaneously measure the number, confluency and morphology of cells attached to microcarriers in a stirred tank bioreactor. The accuracy of the cell distribution measurements is validated using in silico modelling of synthetic image datasets and is shown to have an accuracy >90%. Using the cell distribution mapping process and principal component analysis we show how cell growth can be quantitatively monitored over a 13 day bioreactor culture period and how changes to manufacture processes such as initial cell seeding density can significantly influence cell morphology and the rate at which cells are produced. Taken together, these results demonstrate how image-based analysis can be incorporated in cell quality control processes facilitating the transition towards bioreactor based manufacture for clinical grade cells.
In vitro comparison between the image obtained using PSP plates and Kodak E-speed films.
Petel, R; Yaroslavsky, L; Kaffe, I
2014-07-01
The aim of this study was to compare the intra-oral radiographic images obtained by a PSP digital radiography system ("Orex", Israel) with that obtained using Kodak Ultra speed films in terms of image quality, radiation dosage and diagnostic value. The physical measurement of image quality was conducted with an aluminum step-wedge. Radiation dosage was measured with a dosimeter. Fog and base levels were measured by developing unexposed films and scanning unexposed PSP plates. The in vitro model included preparation and radiographic evaluation of approximal artificial lesions in premolars and molars in depths ranging from 0.25 mm to 1.00 mm. Radiographs were evaluated for the existence of a lesion and its size by 8 experienced clinicians. Relative contrast was similar in both methods. The resolving power of the digital system was lower than that of the E-speed film. As for the subjective evaluation of artificial lesions, there was no significant difference between the two methods excluding those tooth images without lesions, where the analog method was found to be more accurate. The PSP system ("Orex") provides good image quality and diagnostic information with reduced exposure when compared with E-speed film.
Quality improvement in neurology: AAN Parkinson disease quality measures
Cheng, E.M.; Tonn, S.; Swain-Eng, R.; Factor, S.A.; Weiner, W.J.; Bever, C.T.
2010-01-01
Background: Measuring the quality of health care is a fundamental step toward improving health care and is increasingly used in pay-for-performance initiatives and maintenance of certification requirements. Measure development to date has focused on primary care and common conditions such as diabetes; thus, the number of measures that apply to neurologic care is limited. The American Academy of Neurology (AAN) identified the need for neurologists to develop measures of neurologic care and to establish a process to accomplish this. Objective: To adapt and test the feasibility of a process for independent development by the AAN of measures for neurologic conditions for national measurement programs. Methods: A process that has been used nationally for measure development was adapted for use by the AAN. Topics for measure development are chosen based upon national priorities, available evidence base from a systematic literature search, gaps in care, and the potential impact for quality improvement. A panel composed of subject matter and measure development methodology experts oversees the development of the measures. Recommendation statements and their corresponding level of evidence are reviewed and considered for development into draft candidate measures. The candidate measures are refined by the expert panel during a 30-day public comment period and by review by the American Medical Association for Current Procedural Terminology (CPT) II codes. All final AAN measures are approved by the AAN Board of Directors. Results: Parkinson disease (PD) was chosen for measure development. A review of the medical literature identified 258 relevant recommendation statements. A 28-member panel approved 10 quality measures for PD that included full specifications and CPT II codes. Conclusion: The AAN has adapted a measure development process that is suitable for national measurement programs and has demonstrated its capability to independently develop quality measures. GLOSSARY AAN = American Academy of Neurology; ABPN = American Board of Psychiatry and Neurology; AMA = American Medical Association; CPT II = Current Procedural Terminology; PCPI = Physician Consortium for Performance Improvement; PD = Parkinson disease; PMAG = Performance Measurement Advisory Group; PQRI = Physician Quality Reporting Initiative; QMR = Quality Measurement and Reporting Subcommittee. PMID:21115958
Selamet Tierney, Elif Seda; Levine, Jami C.; Chen, Shan; Bradley, Timothy J.; Pearson, Gail D.; Colan, Steven D.; Sleeper, Lynn A.; Campbell, M. Jay; Cohen, Meryl S.; Backer, Julie De; Guey, Lin T.; Heydarian, Haleh; Lai, Wyman W.; Lewin, Mark B.; Marcus, Edward; Mart, Christopher R.; Pignatelli, Ricardo H.; Printz, Beth F.; Sharkey, Angela M.; Shirali, Girish S.; Srivastava, Shubhika; Lacro, Ronald V.
2013-01-01
Background The Pediatric Heart Network is conducting a large international randomized trial to compare aortic root growth and other cardiovascular outcomes in 608 subjects with Marfan syndrome randomized to receive atenolol or losartan for 3 years. The authors report here the echocardiographic methods and baseline echocardiographic characteristics of the randomized subjects, describe the interobserver agreement of aortic measurements, and identify factors influencing agreement. Methods Individuals aged 6 months to 25 years who met the original Ghent criteria and had body surface area–adjusted maximum aortic root diameter (ROOTmax) Z scores > 3 were eligible for inclusion. The primary outcome measure for the trial is the change over time in ROOTmax Z score. A detailed echocardiographic protocol was established and implemented across 22 centers, with an extensive training and quality review process. Results Interobserver agreement for the aortic measurements was excellent, with intraclass correlation coefficients ranging from 0.921 to 0.989. Lower interobserver percentage error in ROOTmax measurements was independently associated (model R2 = 0.15) with better image quality (P = .002) and later study reading date (P < .001). Echocardiographic characteristics of the randomized subjects did not differ by treatment arm. Subjects with ROOTmax Z scores ≥ 4.5 (36%) were more likely to have mitral valve prolapse and dilation of the main pulmonary artery and left ventricle, but there were no differences in aortic regurgitation, aortic stiffness indices, mitral regurgitation, or left ventricular function compared with subjects with ROOTmax Z scores < 4.5. Conclusions The echocardiographic methodology, training, and quality review process resulted in a robust evaluation of aortic root dimensions, with excellent reproducibility. PMID:23582510
ERIC Educational Resources Information Center
Weber, Cornelius I., Ed.
This Environmental Protection Agency manual was developed to provide pollution biologists with the most recent methods for measuring the effects of environmental contaminants on freshwater and marine organisms. The sections of this manual include: (1) Biometrics; (2) Plankton; (3) Periphyton; (4) Macrophyton; (5) Macroinvertebrates; (6) Fish; and…
DOE Office of Scientific and Technical Information (OSTI.GOV)
None
The following are covered: the Sun and its radiation, solar radiation and atmospheric interaction, solar radiation measurement methods, spectral irradiance measurements of natural sources, the measurement of infrared radiation, the measurement of circumsolar radiation, some empirical properties of solar radiation and related parameters, duration of sunshine, and meteorological variables related to solar energy. Included in appendices are manufacturers and distributors of solar radiation measuring instruments and an approximate method for quality control of solar radiation instruments. (MHR)
NASA Astrophysics Data System (ADS)
Gobrecht, Alexia; Bendoula, Ryad; Roger, Jean-Michel; Bellon-Maurel, Véronique
2014-05-01
Visible - Near-infrared spectroscopy (Vis-NIRS) is now commonly used to measure different physical and chemical parameters of soils, including carbon content. However, prediction model accuracy is insufficient for Vis-NIRS to replace routine laboratory analysis. One of the biggest issues this technique is facing up to is light scattering due to soil particles. It causes departure in the assumed linear relationship between the Absorbance spectrum and the concentration of the chemicals of interest as stated by Beer-Lambert's Law, which underpins the calibration models. Therefore it becomes essential to improve the metrological quality of the measured signal in order to optimize calibration as light/matter interactions are at the basis of the resulting linear modeling. Optics can help to mitigate scattering effect on the signal. We put forward a new optical setup coupling linearly polarized light with a Vis-NIR spectrometer to free the measured spectra from multi-scattering effect. The corrected measured spectrum was then used to compute an Absorbance spectrum of the sample, using Dahm's Equation in the frame of the Representative Layer Theory. This method has been previously tested and validated on liquid (milk+ dye) and powdered (sand + dye) samples showing scattering (and absorbing) properties. The obtained Absorbance was a very good approximation of the Beer-Lambert's law absorbance. Here, we tested the method on a set of 54 soil samples to predict Soil Organic Carbon content. In order to assess the signal quality improvement by this method, we built and compared calibration models using Partial Least Square (PLS) algorithm. The prediction model built from new Absorbance spectrum outperformed the model built with the classical Absorbance traditionally obtained with Vis-NIR diffuse reflectance. This study is a good illustration of the high influence of signal quality on prediction model's performances.
Desai, Arti D; Burkhart, Q; Parast, Layla; Simon, Tamara D; Allshouse, Carolyn; Britto, Maria T; Leyenaar, JoAnna K; Gidengil, Courtney A; Toomey, Sara L; Elliott, Marc N; Schneider, Eric C; Mangione-Smith, Rita
Few measures exist to assess pediatric transition quality between care settings. The study objective was to develop and pilot test caregiver-reported quality measures for pediatric hospital and emergency department (ED) to home transitions. On the basis of an evidence review, we developed draft caregiver-reported quality measures for transitions between sites of care. Using the RAND-UCLA Modified Delphi method, a multistakeholder panel endorsed measures for further development. Measures were operationalized into 2 surveys, which were administered to caregivers of patients (n = 2839) discharged from Seattle Children's Hospital between July 1 and September 1, 2014. Caregivers were randomized to mail or telephone survey mode. Measure scores were computed as a percentage of eligible caregivers who endorsed receiving the indicated care. Differences in scores were examined according to survey mode and caregiver characteristics. The Delphi panel endorsed 6 of 8 hospital to home transition measures and 2 of 3 ED to home transitions measures. Scores differed significantly according to mode for 1 measure. Caregivers with lower levels of educational attainment and/or Spanish-speaking caregivers reported significantly higher scores on 3 of the measures. The largest difference was reported for the measure that assessed whether caregivers received assistance with scheduling follow-up appointments; 92% score for caregivers with lower educational attainment versus 79% for caregivers with higher educational attainment (P < .001). We developed 8 new, evidence-based quality measures to assess transition quality from the perspective of caregivers. Pilot testing of these measures in a single institution yielded valuable insights for future testing and implementation of these measures. Copyright © 2016 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.
Hsieh, Ting-Chang; Wolfe, Heather; Sutton, Robert; Myers, Sage; Nadkarni, Vinay; Donoghue, Aaron
2015-08-01
To describe chest compression (CC) rate, depth, and leaning during pediatric cardiopulmonary resuscitation (CPR) as measured by two simultaneous methods, and to assess the accuracy and reliability of video review in measuring CC quality. Resuscitations in a pediatric emergency department are videorecorded for quality improvement. Patients aged 8-18 years receiving CPR under videorecording were eligible for inclusion. CPR was recorded by a pressure/accelerometer feedback device and tabulated in 30-s epochs of uninterrupted CC. Investigators reviewed videorecorded CPR and measured rate, depth, and release by observation. Raters categorized epochs as 'meeting criteria' if 80% of CCs in an epoch were done with appropriate depth (>45 mm) and/or release (<2.5 kg leaning). Comparison between device measurement and video was made by Spearman's ρ for rate and by κ statistic for depth and release. Interrater reliability for depth and release was measured by κ statistic. Five patients underwent videorecorded CPR using the feedback device. 97 30-s epochs of CCs were analyzed. CCs met criteria for rate in 74/97 (76%) of epochs; depth in 38/97 (39%); release in 82/97 (84%). Agreement between video and feedback device for rate was good (ρ = 0.77); agreement was poor for depth and release (κ 0.04-0.41). Interrater reliability for depth and release measured by video was poor (κ 0.04-0.49). Video review measured CC rate accurately; depth and release were not reliably or accurately assessed by video. Future research should focus on the optimal combination of methods for measuring CPR quality. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.
A rating scale is a proper method to evaluate changes in quality of life due to dry eye symptoms.
Xue, Wenwen; Xu, Xian; Zou, Haidong
2018-02-07
To determine which utility value assessment method is more suitable to evaluate changes in the quality of life due to dry eye symptoms. Dry eye outpatients with a presenting visual acuity of 20/25 or better in the worse-seeing eye were recruited. Presenting distance visual acuity, tear film break-up time, Schirmer I test and fluorescein were assessed. The severity of dry eye symptoms was assessed using the Ocular Surface Disease Index (OSDI), and utility values were measured using the time trade-off (TTO), standard gamble (SG1 and SG2) and rating scale (RS) methods. Different utility values were compared with each other. The most appropriate utility value method to evaluate quality-of-life changes solely due to dry eye symptoms is determined by calculating the correlation between the OSDI score and different utility values. A total of 104 patients were enrolled. The three sections of OSDI in the order of high to low scores were as follows: "environmental trigger," "eye discomfort" and "visual function." The utility scores measured with TTO, SG1, SG2 and RS were 0.95 ± 0.11, 0.96 ± 0.10, 0.99 ± 0.07 and 0.89 ± 0.10, respectively. The utility scores evaluated by the TTO, SG1, SG2 and RS methods were significantly different from each other (p < 0.05). Only the utility scores measured with RS were significantly correlated with the composite OSDI score, "environmental trigger" and "eye discomfort" section scores (p < 0.05). RS is more sensitive than TTO and SG for the evaluation of altered quality of life due to dry eye symptoms.
Liu, Shawn; Vaillancourt, Christian; Kasaboski, Ann; Taljaard, Monica
2016-11-01
This study sought to measure bystander fatigue and cardiopulmonary resuscitation (CPR) quality after five minutes of CPR using the continuous chest compression (CCC) versus the 30:2 chest compression to ventilation method in older lay persons, a population most likely to perform CPR on cardiac arrest victims. This randomized crossover trial took place at three tertiary care hospitals and a seniors' center. Participants were aged ≥55 years without significant physical limitations (frailty score ≤3/7). They completed two 5-minute CPR sessions (using 30:2 and CCC) on manikins; sessions were separated by a rest period. We used concealed block randomization to determine CPR method order. Metronome feedback maintained a compression rate of 100/minute. We measured heart rate (HR), mean arterial pressure (MAP), and Borg Exertion Scale. CPR quality measures included total number of compressions and number of adequate compressions (depth ≥5 cm). Sixty-three participants were enrolled: mean age 70.8 years, female 66.7%, past CPR training 60.3%. Bystander fatigue was similar between CPR methods: mean difference in HR -0.59 (95% CI -3.51-2.33), MAP 1.64 (95% CI -0.23-3.50), and Borg 0.46 (95% CI 0.07-0.84). Compared to 30:2, participants using CCC performed more chest compressions (480.0 v. 376.3, mean difference 107.7; p<0.0001) and more adequate chest compressions (381.5 v. 324.9, mean difference. 62.0; p=0.0001), although good compressions/minute declined significantly faster with the CCC method (p=0.0002). CPR quality decreased significantly faster when performing CCC compared to 30:2. However, performing CCC produced more adequate compressions overall with a similar level of fatigue compared to the 30:2 method.
Barrett, Eva; McCreesh, Karen; Lewis, Jeremy
2014-02-01
A wide array of instruments are available for non-invasive thoracic kyphosis measurement. Guidelines for selecting outcome measures for use in clinical and research practice recommend that properties such as validity and reliability are considered. This systematic review reports on the reliability and validity of non-invasive methods for measuring thoracic kyphosis. A systematic search of 11 electronic databases located studies assessing reliability and/or validity of non-invasive thoracic kyphosis measurement techniques. Two independent reviewers used a critical appraisal tool to assess the quality of retrieved studies. Data was extracted by the primary reviewer. The results were synthesized qualitatively using a level of evidence approach. 27 studies satisfied the eligibility criteria and were included in the review. The reliability, validity and both reliability and validity were investigated by sixteen, two and nine studies respectively. 17/27 studies were deemed to be of high quality. In total, 15 methods of thoracic kyphosis were evaluated in retrieved studies. All investigated methods showed high (ICC ≥ .7) to very high (ICC ≥ .9) levels of reliability. The validity of the methods ranged from low to very high. The strongest levels of evidence for reliability exists in support of the Debrunner kyphometer, Spinal Mouse and Flexicurve index, and for validity supports the arcometer and Flexicurve index. Further reliability and validity studies are required to strengthen the level of evidence for the remaining methods of measurement. This should be addressed by future research. Copyright © 2013 Elsevier Ltd. All rights reserved.
Eckermann, Simon; Coelli, Tim
2013-01-01
Evidence based medicine supports net benefit maximising therapies and strategies in processes of health technology assessment (HTA) for reimbursement and subsidy decisions internationally. However, translation of evidence based medicine to practice is impeded by efficiency measures such as cost per case-mix adjusted separation in hospitals, which ignore health effects of care. In this paper we identify a correspondence method that allows quality variables under control of providers to be incorporated in efficiency measures consistent with maximising net benefit. Including effects framed from a disutility bearing (utility reducing) perspective (e.g. mortality, morbidity or reduction in life years) as inputs and minimising quality inclusive costs on the cost-disutility plane is shown to enable efficiency measures consistent with maximising net benefit under a one to one correspondence. The method combines advantages of radial properties with an appropriate objective of maximising net benefit to overcome problems of inappropriate objectives implicit with alternative methods, whether specifying quality variables with utility bearing output (e.g. survival, reduction in morbidity or life years), hyperbolic or exogenous variables. This correspondence approach is illustrated in undertaking efficiency comparison at a clinical activity level for 45 Australian hospitals allowing for their costs and mortality rates per admission. Explicit coverage and comparability conditions of the underlying correspondence method are also shown to provide a robust framework for preventing cost-shifting and cream-skimming incentives, with appropriate qualification of analysis and support for data linkage and risk adjustment where these conditions are not satisfied. Comparison on the cost-disutility plane has previously been shown to have distinct advantages in comparing multiple strategies in HTA, which this paper naturally extends to a robust method and framework for comparing efficiency of health care providers in practice. Consequently, the proposed approach provides a missing link between HTA and practice, to allow active incentives for evidence based net benefit maximisation in practice. Copyright © 2012 Elsevier Ltd. All rights reserved.
British Thoracic Society Quality Standards for acute non-invasive ventilation in adults
Davies, Michael; Allen, Martin; Bentley, Andrew; Bourke, Stephen C; Creagh-Brown, Ben; D’Oliveiro, Rachel; Glossop, Alastair; Gray, Alasdair; Jacobs, Phillip; Mahadeva, Ravi; Moses, Rachael; Setchfield, Ian
2018-01-01
Introduction The purpose of the quality standards document is to provide healthcare professionals, commissioners, service providers and patients with a guide to standards of care that should be met for the provision of acute non-invasive ventilation in adults together with measurable markers of good practice. Methods Development of British Thoracic Society (BTS) Quality Standards follows the BTS process of quality standard production based on the National Institute for Health and Care Excellence process manual for the development of quality standards. Results 6 quality statements have been developed, each describing a standard of care for the provision of acute non-invasive ventilation in the UK, together with measurable markers of good practice. Conclusion BTS Quality Standards for acute non-invasive ventilation in adults form a key part of the range of supporting materials that the Society produces to assist in the dissemination and implementation of guideline’s recommendations. PMID:29636979
Complementary effect of patient volume and quality of care on hospital cost efficiency.
Choi, Jeong Hoon; Park, Imsu; Jung, Ilyoung; Dey, Asoke
2017-06-01
This study explores the direct effect of an increase in patient volume in a hospital and the complementary effect of quality of care on the cost efficiency of U.S. hospitals in terms of patient volume. The simultaneous equation model with three-stage least squares is used to measure the direct effect of patient volume and the complementary effect of quality of care and volume. Cost efficiency is measured with a data envelopment analysis method. Patient volume has a U-shaped relationship with hospital cost efficiency and an inverted U-shaped relationship with quality of care. Quality of care functions as a moderator for the relationship between patient volume and efficiency. This paper addresses the economically important question of the relationship of volume with quality of care and hospital cost efficiency. The three-stage least square simultaneous equation model captures the simultaneous effects of patient volume on hospital quality of care and cost efficiency.
Domains associated with successful quality improvement in healthcare - a nationwide case study.
Brandrud, Aleidis Skard; Nyen, Bjørnar; Hjortdahl, Per; Sandvik, Leiv; Helljesen Haldorsen, Gro Sævil; Bergli, Maria; Nelson, Eugene C; Bretthauer, Michael
2017-09-13
There is a distinct difference between what we know and what we do in healthcare: a gap that is impairing the quality of the care and increasing the costs. Quality improvement efforts have been made worldwide by learning collaboratives, based on recognized continual improvement theory with limited scientific evidence. The present study of 132 quality improvement projects in Norway explores the conditions for improvement from the perspectives of the frontline healthcare professionals, and evaluates the effectiveness of the continual improvement method. An instrument with 25 questions was developed on prior focus group interviews with improvement project members who identified features that may promote or inhibit improvement. The questionnaire was sent to 189 improvement projects initiated by the Norwegian Medical Association, and responded by 70% (132) of the improvement teams. A sub study of their final reports by a validated instrument, made us able to identify the successful projects and compare their assessments with the assessments of the other projects. A factor analysis with Varimax rotation of the 25 questions identified five domains. A multivariate regression analysis was used to evaluate the association with successful quality improvements. Two of the five domains were associated with success: Measurement and Guidance (p = 0.011), and Professional environment (p = 0.015). The organizational leadership domain was not associated with successful quality improvements (p = 0.26). Our findings suggest that quality improvement projects with good guidance and focus on measurement for improvement have increased likelihood of success. The variables in these two domains are aligned with improvement theory and confirm the effectiveness of the continual improvement method provided by the learning collaborative. High performing professional environments successfully engaged in patient-centered quality improvement if they had access to: (a) knowledge of best practice provided by professional subject matter experts, (b) knowledge of current practice provided by simple measurement methods, assisted by (c) improvement knowledge experts who provided useful guidance on measurement, and made the team able to organize the improvement efforts well in spite of the difficult resource situation (time and personnel). Our findings may be used by healthcare organizations to develop effective infrastructure to support improvement and to create the conditions for making quality and safety improvement a part of everyone's job.
Managing quality of teaching and learning in the ophthalmic nursing course.
Law, M L
2000-02-01
With auditing of teaching and learning in earnest by the Quality Assurance Agency for the Higher Education Funding Council, the nature of quality in education is top on the agenda for educational stakeholders. However, the nature of quality is difficult to define and measure. This is because quality is essentially a subjective perception and can mean different things to different individuals. Therefore, attempt to quantify and measure quality is difficult and problematic but is necessary for personal, professional, bureaucratic, political and stakeholder demands for accountability, and demonstration of efficiency, effectiveness and value for money. Using a total quality management framework, the internal controls of quality in the ophthalmic nursing course and at the faculty level are considered. The wider contexts of quality control from the institutional, political and at the customer's levels are explored. This paper concludes that the various methods used to control and measure quality may provide useful information for service clarity and a basis for service development. However, such information needs to be treated with caution and interpreted in the context and environment in which this information is generated. Ultimately, the issues of quality in teaching and learning may be addressed by the teacher's commitment to be developed as a reflective practitioner.
Connor, Jean A; Larson, Carol; Baird, Jennifer; Hickey, Patricia A
2016-01-01
The evidence linking nursing care and patient outcomes has been globally demonstrated. Thus, it is time for translation and application of this evidence to robust measurement that uniquely demonstrates the value of nursing care and the characteristics of the nursing workforce that contribute to optimal patient outcomes. The aim of this study was to identify and develop standardized measures representative of pediatric nursing care of the cardiovascular patient for benchmarking within freestanding children's hospitals. Using a consensus-based approach, the Consortium of Congenital Cardiac Care- Measurement of Nursing Practice (C4-MNP) members developed quality measures within working groups and then individually critiqued all drafted measures. Final draft measures were then independently reviewed and critiqued by an external nursing quality measurement committee. The final quality measures were also made available to a national parent support group for feedback. The development process used by C4-MNP resulted in 10 measures eligible for testing across freestanding children's hospitals. Employing a collaborative consensus-based method plus implementing the criteria of the National Quality Forum and external vetting period provided a strong framework for the development and evaluation of standardized measures. The Consortium will continue with implementation and testing of each measure in 9 of our 28 collaborating centers. This activity will support initial development of benchmarks and evaluation of the association of the measures with patient outcomes. Copyright © 2016 Elsevier Inc. All rights reserved.
Sun, Xiaofei; Shi, Lin; Luo, Yishan; Yang, Wei; Li, Hongpeng; Liang, Peipeng; Li, Kuncheng; Mok, Vincent C T; Chu, Winnie C W; Wang, Defeng
2015-07-28
Intensity normalization is an important preprocessing step in brain magnetic resonance image (MRI) analysis. During MR image acquisition, different scanners or parameters would be used for scanning different subjects or the same subject at a different time, which may result in large intensity variations. This intensity variation will greatly undermine the performance of subsequent MRI processing and population analysis, such as image registration, segmentation, and tissue volume measurement. In this work, we proposed a new histogram normalization method to reduce the intensity variation between MRIs obtained from different acquisitions. In our experiment, we scanned each subject twice on two different scanners using different imaging parameters. With noise estimation, the image with lower noise level was determined and treated as the high-quality reference image. Then the histogram of the low-quality image was normalized to the histogram of the high-quality image. The normalization algorithm includes two main steps: (1) intensity scaling (IS), where, for the high-quality reference image, the intensities of the image are first rescaled to a range between the low intensity region (LIR) value and the high intensity region (HIR) value; and (2) histogram normalization (HN),where the histogram of low-quality image as input image is stretched to match the histogram of the reference image, so that the intensity range in the normalized image will also lie between LIR and HIR. We performed three sets of experiments to evaluate the proposed method, i.e., image registration, segmentation, and tissue volume measurement, and compared this with the existing intensity normalization method. It is then possible to validate that our histogram normalization framework can achieve better results in all the experiments. It is also demonstrated that the brain template with normalization preprocessing is of higher quality than the template with no normalization processing. We have proposed a histogram-based MRI intensity normalization method. The method can normalize scans which were acquired on different MRI units. We have validated that the method can greatly improve the image analysis performance. Furthermore, it is demonstrated that with the help of our normalization method, we can create a higher quality Chinese brain template.
Task-based measures of image quality and their relation to radiation dose and patient risk
Barrett, Harrison H.; Myers, Kyle J.; Hoeschen, Christoph; Kupinski, Matthew A.; Little, Mark P.
2015-01-01
The theory of task-based assessment of image quality is reviewed in the context of imaging with ionizing radiation, and objective figures of merit (FOMs) for image quality are summarized. The variation of the FOMs with the task, the observer and especially with the mean number of photons recorded in the image is discussed. Then various standard methods for specifying radiation dose are reviewed and related to the mean number of photons in the image and hence to image quality. Current knowledge of the relation between local radiation dose and the risk of various adverse effects is summarized, and some graphical depictions of the tradeoffs between image quality and risk are introduced. Then various dose-reduction strategies are discussed in terms of their effect on task-based measures of image quality. PMID:25564960
Evaluation of the Treatment of Congenital Penile Curvature Including Psychosexual Assessment.
Zachalski, Wojciech; Krajka, Kazimierz; Matuszewski, Marcin
2015-08-01
Penile corporoplasty is a well-established treatment method of congenital penile deviation (CPD). Anatomical results are good with only slight differences between surgical procedures used. The disease however has huge influence on young male quality of life. This issue is not well analyzed in the literature. The aim of the study was to evaluate quality of life of the patients affected with CPD before and after the surgical treatment Study population consisted of 107 patients with CPD referred for surgical management. Patients were evaluated with not only clinical assessment, but also by four questionnaires measuring various aspects of quality of life. They were: Short-Form Medical Outcomes, Sexual Quality of Life Questionnaire for Man, Beck Depression Inventory, and International Index of Erectile Function. Quality of life measurements showed deep decrease in the general quality of life, sexual performance, depression scale, as well as in physical and mental health in men with CPD. All these parameters were restored to normal after the successful surgical treatment with any method. CPD deeply decreases the quality of life of the affected men in many aspects. Surgical treatment is able to repair the anatomical deformity and as well as significantly restore the patients' psychosocial well-being. © 2015 International Society for Sexual Medicine.
Zamani, Mohammad Javad; Bihamta, Mohammad Reza; Naserian Khiabani, Behnam; Tahernezhad, Zahra; Hallajian, Mohammad Taher; Shamsi, Marzieh Varasteh
2014-01-01
Allelic diversity of HMW glutenin loci in several studies revealed that allelic combinations affect dough quality. Dx5 + Dy10 subunits are related to good baking quality and Dx2 + Dy12 are related to undesirable baking quality. One of the most regular methods to evaluate the baking quality is SDS-PAGE which is used to improve baking quality labs. Marker-assisted selection is the method which can recognize the alleles related to baking quality and this method is based on polymerase chain reaction. 10 pairs of specific primers related to Dx2, Dx2.1, Dx5, Dy10, and Dy12 subunits were used for recognizing baking quality of some wheat varieties and some mutant genotypes. Only 5 pairs of them could show the specific bands. All subunits were recognized by the primers except Dx2.1. Some of the primers were extracted from previous studies and the others were designed based on D genome subunits of wheat. SDS-PAGE method accomplished having confidence in these marker's results. To realize the effect of mutation, seed storage proteins were measured. It showed that mutation had effect on the amount of seed storage protein on the mutant seeds (which showed polymorphism).
Nelson, E C; Caldwell, C; Quinn, D; Rose, R
1991-03-01
Customer knowledge is an essential feature of hospitalwide quality improvement. All systems and processes have customers. The aim is to use customer knowledge and voice of the customer measurement to plan, design, improve, and monitor these systems and processes continuously. In this way, the hospital stands the best chance of meeting customers' needs and, hopefully, delivering services that are so outstanding that customers will be surprised and delighted. There are many methods, both soft and hard, that can be used to increase customer knowledge. One useful strategy is to use a family of quality measures that reflect the voice of the customer. These measures can generate practical and powerful customer knowledge information that is essential to performing strategic planning, deploying quality policy, designing new services, finding targets for improvements, and monitoring those continuous improvements based on customers' judgments.
Quantifying Error in Survey Measures of School and Classroom Environments
ERIC Educational Resources Information Center
Schweig, Jonathan David
2014-01-01
Developing indicators that reflect important aspects of school and classroom environments has become central in a nationwide effort to develop comprehensive programs that measure teacher quality and effectiveness. Formulating teacher evaluation policy necessitates accurate and reliable methods for measuring these environmental variables. This…
Method and system for automated on-chip material and structural certification of MEMS devices
Sinclair, Michael B.; DeBoer, Maarten P.; Smith, Norman F.; Jensen, Brian D.; Miller, Samuel L.
2003-05-20
A new approach toward MEMS quality control and materials characterization is provided by a combined test structure measurement and mechanical response modeling approach. Simple test structures are cofabricated with the MEMS devices being produced. These test structures are designed to isolate certain types of physical response, so that measurement of their behavior under applied stress can be easily interpreted as quality control and material properties information.
Federal Register 2010, 2011, 2012, 2013, 2014
2012-09-11
... Methods: Designation of a New Equivalent Method AGENCY: Environmental Protection Agency. ACTION: Notice of the designation of a new equivalent method for monitoring ambient air quality. SUMMARY: Notice is... part 53, a new equivalent method for measuring concentrations of PM 2.5 in the ambient air. FOR FURTHER...
NASA Astrophysics Data System (ADS)
Abe, R.; Hamada, K.; Hirata, N.; Tamura, R.; Nishi, N.
2015-05-01
As well as the BIM of quality management in the construction industry, demand for quality management of the manufacturing process of the member is higher in shipbuilding field. The time series of three-dimensional deformation of the each process, and are accurately be grasped strongly demanded. In this study, we focused on the shipbuilding field, will be examined three-dimensional measurement method. The shipyard, since a large equipment and components are intricately arranged in a limited space, the installation of the measuring equipment and the target is limited. There is also the element to be measured is moved in each process, the establishment of the reference point for time series comparison is necessary to devise. In this paper will be discussed method for measuring the welding deformation in time series by using a total station. In particular, by using a plurality of measurement data obtained from this approach and evaluated the amount of deformation of each process.
NASA Astrophysics Data System (ADS)
Kazadzis, Stelios; Kouremeti, Natalia; Nyeki, Stephan; Gröbner, Julian; Wehrli, Christoph
2018-02-01
The World Optical Depth Research Calibration Center (WORCC) is a section within the World Radiation Center at Physikalisches-Meteorologisches Observatorium (PMOD/WRC), Davos, Switzerland, established after the recommendations of the World Meteorological Organization for calibration of aerosol optical depth (AOD)-related Sun photometers. WORCC is mandated to develop new methods for instrument calibration, to initiate homogenization activities among different AOD networks and to run a network (GAW-PFR) of Sun photometers. In this work we describe the calibration hierarchy and methods used under WORCC and the basic procedures, tests and processing techniques in order to ensure the quality assurance and quality control of the AOD-retrieved data.
Perich, C; Ricós, C; Alvarez, V; Biosca, C; Boned, B; Cava, F; Doménech, M V; Fernández-Calle, P; Fernández-Fernández, P; García-Lario, J V; Minchinela, J; Simón, M; Jansen, R
2014-05-15
Current external quality assurance schemes have been classified into six categories, according to their ability to verify the degree of standardization of the participating measurement procedures. SKML (Netherlands) is a Category 1 EQA scheme (commutable EQA materials with values assigned by reference methods), whereas SEQC (Spain) is a Category 5 scheme (replicate analyses of non-commutable materials with no values assigned by reference methods). The results obtained by a group of Spanish laboratories participating in a pilot study organized by SKML are examined, with the aim of pointing out the improvements over our current scheme that a Category 1 program could provide. Imprecision and bias are calculated for each analyte and laboratory, and compared with quality specifications derived from biological variation. Of the 26 analytes studied, 9 had results comparable with those from reference methods, and 10 analytes did not have comparable results. The remaining 7 analytes measured did not have available reference method values, and in these cases, comparison with the peer group showed comparable results. The reasons for disagreement in the second group can be summarized as: use of non-standard methods (IFCC without exogenous pyridoxal phosphate for AST and ALT, Jaffé kinetic at low-normal creatinine concentrations and with eGFR); non-commutability of the reference material used to assign values to the routine calibrator (calcium, magnesium and sodium); use of reference materials without established commutability instead of reference methods for AST and GGT, and lack of a systematic effort by manufacturers to harmonize results. Results obtained in this work demonstrate the important role of external quality assurance programs using commutable materials with values assigned by reference methods to correctly monitor the standardization of laboratory tests with consequent minimization of risk to patients. Copyright © 2013 Elsevier B.V. All rights reserved.
British Thoracic Society quality standards for the investigation and management of pulmonary nodules
Baldwin, David; Callister, Matthew; Akram, Ahsan; Cane, Paul; Draffan, Jeanette; Franks, Kevin; Gleeson, Fergus; Graham, Richard; Malhotra, Puneet; Pearson, Philip; Subesinghe, Manil; Waller, David; Woolhouse, Ian
2018-01-01
Introduction The purpose of the quality standards document is to provide healthcare professionals, commissioners, service providers and patients with a guide to standards of care that should be met for the investigation and management of pulmonary nodules in the UK, together with measurable markers of good practice. Methods Development of British Thoracic Society (BTS) Quality Standards follows the BTS process of quality standard production based on the National Institute for Health and Care Excellence process manual for the development of quality standards. Results 7 quality statements have been developed, each describing a key marker of high-quality, cost-effective care for the investigation and management of pulmonary nodules, and each statement is supported by quality measures that aim to improve the structure, process and outcomes of healthcare. Discussion BTS Quality Standards for the investigation and management of pulmonary nodules form a key part of the range of supporting materials that the Society produces to assist in the dissemination and implementation of guideline recommendations. PMID:29682290
Steins, Dax; Dawes, Helen; Esser, Patrick; Collett, Johnny
2014-03-13
Integrating rehabilitation services through wearable systems has the potential to accurately assess the type, intensity, duration, and quality of movement necessary for procuring key outcome measures. This review aims to explore wearable accelerometry-based technology (ABT) capable of assessing mobility-related functional activities intended for rehabilitation purposes in community settings for neurological populations. In this review, we focus on the accuracy of ABT-based methods, types of outcome measures, and the implementation of ABT in non-clinical settings for rehabilitation purposes. Cochrane, PubMed, Web of Knowledge, EMBASE, and IEEE Xplore. The search strategy covered three main areas, namely wearable technology, rehabilitation, and setting. Potentially relevant studies were categorized as systems either evaluating methods or outcome parameters. Methodological qualities of studies were assessed by two customized checklists, depending on their categorization and rated independently by three blinded reviewers. Twelve studies involving ABT met the eligibility criteria, of which three studies were identified as having implemented ABT for rehabilitation purposes in non-clinical settings. From the twelve studies, seven studies achieved high methodological quality scores. These studies were not only capable of assessing the type, quantity, and quality measures of functional activities, but could also distinguish healthy from non-healthy subjects and/or address disease severity levels. While many studies support ABT's potential for telerehabilitation, few actually utilized it to assess mobility-related functional activities outside laboratory settings. To generate more appropriate outcome measures, there is a clear need to translate research findings and novel methods into practice.
Health-related quality-of-life assessments in diverse population groups in the United States.
Stewart, A L; Nápoles-Springer, A
2000-09-01
Effectiveness research needs to represent the increasing diversity of the United States. Health-related quality-of-life (HRQOL) measures are often included as secondary treatment outcomes. Because most HRQOL measures were developed in nonminority, well-educated samples, we must determine whether such measures are conceptually and psychometrically equivalent in diverse subgroups. Without equivalence, overall findings and observed group differences may contain measurement bias. The objectives of this work were to discuss the nature of diversity, importance of ensuring the adequacy of HRQOL measures in diverse groups, methods for assessing comparability of HRQOL measures across groups, and methodological and analytical challenges. Integration of qualitative and quantitative methods is needed to achieve measurement adequacy in diverse groups. Little research explores conceptual equivalence across US subgroups; of the few studies of psychometric comparability, findings are inconsistent. Evidence is needed regarding whether current measures are comparable or need modifications to meet universality assumptions, and we need to determine the best methods for evaluating this. We recommend coordinated efforts to develop guidelines for assessing measurement adequacy across diverse subgroups, allocate resources for measurement studies in diverse populations, improve reporting of and access to measurement results by subgroups, and develop strategies for optimizing the universality of HRQOL measures and resolving inadequacies. We advocate culturally sensitive research that involves cultural subgroups throughout the research process. Because examining the cultural equivalence of HRQOL measures within the United States is somewhat new, we have a unique opportunity to shape the direction of this work through development and dissemination of appropriate methods.
Wade, Derick T
2003-10-01
Choosing outcome measures in rehabilitation research depends on the standard research skills of clear thinking, attention to detail, and minimizing the amount of data collected. In rehabilitation, outcome is more difficult to measure because (1) usually several outcomes are relevant, (2) relevant outcomes are affected by multiple factors in addition to treatment, and (3) even good measures rarely reflect the specific interest of any individual patient or member of the rehabilitation team, leading to some dissent. Measurement of general quality of life is not possible because there is little agreement as to the nature of the construct; moreover, measurement of relevant aspects of quality of life would probably give similar results. Cost in terms of resources can be estimated, but there is no validated or even widely accepted method of relating this to benefit in a fair, open, and rational way. Outcome is best measured at the level of behavior (activities), with other measures being used to aid interpretation.
A novel client service quality measuring model and an eHealthcare mitigating approach.
Cheng, L M; Choi, Wai Ping Choi; Wong, Anita Yiu Ming
2016-07-01
Facing population ageing in Hong Kong, the demand of long-term elderly health care services is increasing. The challenge is to support a good quality service under the constraints faced by recent shortage of nursing and care services professionals without redesigning the work flow operated in the existing elderly health care industries. the existing elderly health care industries. The Total QoS measure based on Finite Capacity Queuing Model is a reliable method and an effective measurement for Quality of services. The value is good for measuring the staffing level and offers a measurement for efficiency enhancement when incorporate new technologies like ICT. The implemented system has improved the Quality of Service by more than 14% and the extra released manpower resource will allow clinical care provider to offer further value added services without actually increasing head count. We have developed a novel Quality of Service measurement for Clinical Care services based on multi-queue using finite capacity queue model M/M/c/K/n and the measurement is useful for estimating the shortage of staff resource in a caring institution. It is essential for future integration with the existing widely used assessment model to develop reliable measuring limits which allow an effective measurement of public fund used in health care industries. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.
Le, Van So; Do, Zoe Phuc-Hien; Le, Minh Khoi; Le, Vicki; Le, Natalie Nha-Truc
2014-06-10
Methods of increasing the performance of radionuclide generators used in nuclear medicine radiotherapy and SPECT/PET imaging were developed and detailed for 99Mo/99mTc and 68Ge/68Ga radionuclide generators as the cases. Optimisation methods of the daughter nuclide build-up versus stand-by time and/or specific activity using mean progress functions were developed for increasing the performance of radionuclide generators. As a result of this optimisation, the separation of the daughter nuclide from its parent one should be performed at a defined optimal time to avoid the deterioration in specific activity of the daughter nuclide and wasting stand-by time of the generator, while the daughter nuclide yield is maintained to a reasonably high extent. A new characteristic parameter of the formation-decay kinetics of parent/daughter nuclide system was found and effectively used in the practice of the generator production and utilisation. A method of "early elution schedule" was also developed for increasing the daughter nuclide production yield and specific radioactivity, thus saving the cost of the generator and improving the quality of the daughter radionuclide solution. These newly developed optimisation methods in combination with an integrated elution-purification-concentration system of radionuclide generators recently developed is the most suitable way to operate the generator effectively on the basis of economic use and improvement of purposely suitable quality and specific activity of the produced daughter radionuclides. All these features benefit the economic use of the generator, the improved quality of labelling/scan, and the lowered cost of nuclear medicine procedure. Besides, a new method of quality control protocol set-up for post-delivery test of radionuclidic purity has been developed based on the relationship between gamma ray spectrometric detection limit, required limit of impure radionuclide activity and its measurement certainty with respect to optimising decay/measurement time and product sample activity used for QC quality control. The optimisation ensures a certainty of measurement of the specific impure radionuclide and avoids wasting the useful amount of valuable purified/concentrated daughter nuclide product. This process is important for the spectrometric measurement of very low activity of impure radionuclide contamination in the radioisotope products of much higher activity used in medical imaging and targeted radiotherapy.
PM: RESEARCH METHODS FOR PM TOXIC COMPOUNDS - PARTICLE METHODS EVALUATION AND DEVELOPMENT
The Federal Reference Method (FRM) for Particulate Matter (PM) developed by EPA's National Exposure Research Laboratory (NERL) forms the backbone of the EPA's national monitoring strategy. It is the measurement that defines attainment of the National Ambient Air Quality Standard...
Healthcare quality measurement in orthopaedic surgery: current state of the art.
Auerbach, Andrew
2009-10-01
Improving quality of care in arthroplasty is of increasing importance to payors, hospitals, surgeons, and patients. Efforts to compel improvement have traditionally focused measurement and reporting of data describing structural factors, care processes (or 'quality measures'), and clinical outcomes. Reporting structural measures (eg, surgical case volume) has been used with varying degrees of success. Care process measures, exemplified by initiatives such as the Surgical Care Improvement Project measures, are chosen based on the strength of randomized trial evidence linking the process to improved outcomes. However, evidence linking improved performance on Surgical Care Improvement Project measures with improved outcomes is limited. Outcome measures in surgery are of increasing importance as an approach to compel care improvement with prominent examples represented by the National Surgical Quality Improvement Project. Although outcomes-focused approaches are often costly, when linked to active benchmarking and collaborative activities, they may improve care broadly. Moreover, implementation of computerized data systems collecting information formerly collected on paper only will facilitate benchmarking. In the end, care will only be improved if these data are used to define methods for innovating care systems that deliver better outcomes at lower or equivalent costs.
[Study on quality standards of decoction pieces of salt Alpinia].
Li, Wenbing; Hu, Changjiang; Long, Lanyan; Huang, Qinwan; Xie, Xiuqiong
2010-12-01
To establish the quality criteria for decoction pieces of salt Alpinia. Decoction pieces of salt Alpinia were measured with moisture, total ash, acid-insoluble ash, water-extract and volatile oils according to the procedures recorded in the Chinese Pharmacopoeia 2010. The content of Nootkatone was determined by HPLC, and NaCl, by chloridion electrode method. We obtained results of total ash, acid-insoluble ash, water-extract and volatile oils of 10 batches of decoction pieces of salt Alpinia moisture; Meanwhile we set the HPLC and chloridion electrode method. This research established a fine quality standard for decoction pieces of salt Alpinia.
Vitoratou, Silia; Sevdalis, Nick; Hull, Louise
2017-01-01
Introduction Over the past 10 years, research into methods that promote the uptake, implementation and sustainability of evidence-based interventions has gathered pace. However, implementation outcomes are defined in different ways and assessed by different measures; the extent to which these measures are valid and reliable is unknown. The aim of this systematic review is to identify and appraise studies that assess the measurement properties of quantitative implementation outcome instruments used in physical healthcare settings, to advance the use of precise and accurate measures. Methods and analysis The following databases will be searched from inception to March 2017: MEDLINE, EMBASE, PsycINFO, CINAHL and the Cochrane Library. Grey literature will be sought via HMIC, OpenGrey, ProQuest for theses and Web of Science Conference Proceedings Citation Index-Science. Reference lists of included studies and relevant reviews will be hand searched. Three search strings will be combined to identify eligible studies: (1) implementation literature, (2) implementation outcomes and (3) measurement properties. Screening of titles, abstracts and full papers will be assessed for eligibility by two reviewers independently and any discrepancies resolved via consensus with the wider team. The methodological quality of the studies will be assessed using the COnsensus-based Standards for the selection of health Measurement INstruments checklist. A set of bespoke criteria to determine the quality of the instruments will be used, and the relationship between instrument usability and quality will be explored. Ethics and dissemination Ethical approval is not necessary for systematic review protocols. Researchers and healthcare professionals can use the findings of this systematic review to guide the selection of implementation outcomes instruments, based on their psychometric quality, to assess the impact of their implementation efforts. The findings will also provide a useful guide for reviewers of papers and grants to determine the psychometric quality of the measures used in implementation research. Trial registration number International Prospective Register of Systematic Reviews (PROSPERO): CRD42017065348. PMID:28993392
A Method to Identify Estuarine Water Quality Exceedances Associated with Ocean Conditions
Wind driven coastal upwelling along the Pacific Northwest Coast of the US results in oceanic water that may be periodically entrained into adjacent estuaries and which possess high nutrients and low dissolved oxygen (DO). Measurement of water quality indicators during these upwe...
STATUS OF RESEARCH ON AIR QUALITY: MERCURY, TRACE ELEMENTS, AND PARTICULATE MATTER. (R827649)
The Air Quality Conference reviewed the state of science and policy on the pollutants mercury, trace elements, and particulate matter (PM) in the environment. Critical issues dealing with impacts on health and ecosystems, emission prevention and control, measurement methods, a...
2013-01-01
Background Socioeconomic status (SES) is known to influence children’s health-related quality of life. Many SES indicators assess distinct dimensions of a family’s position rather than measuring the same underlying construct. Many researchers, however, see SES indicators as interchangeable. The primary aim of this study was to determine which measure of SES had the strongest impact on health-related quality of life. Methods This is a secondary analysis of the Pediatric Cardiac Quality of Life Inventory Validation Study. The SES variables were family income, Hollingshead Index (occupational prestige), and highest parent educational attainment level. Health-related quality of life was measured using the Pediatric Cardiac Quality of Life Inventory. Correlations tested the relationship among the three SES indicators. Regression-based modeling was used to calculate the strength of the association between SES measures and the Pediatric Cardiac Quality of Life Inventory. Results The correlations among the SES measures were moderately high, with the correlation between the Hollingshead Index and parental education being r = 0.62 (95% CI = 0.56-0.65). There were equally high correlations between family income and the Hollingshead (r = 0.61, 95% CI = 0.57-0.65) and a slightly lower correlation between family income and parental education (r = 0.55, 95% CI = 0.52-0.59). Family income had the highest explanatory value compared to the Hollingshead Index or parental educational attainment, while controlling for sex, race, current cardiac status, and original diagnosis, accounting for 4-5% of the variation in patient and parent Pediatric Cardiac Quality of Life Inventory Total score, respectively, compared to the other SES measures. Conclusion Family income as an SES measure demonstrated the greatest fidelity with respect to health-related quality of life as measured by the Pediatric Cardiac Quality of Life Inventory across respondent groups and explained more of the variation compared to the Hollingshead Index or highest parental educational attainment. PMID:23777248
Fout, G. Shay; Cashdollar, Jennifer L.; Griffin, Shannon M.; Brinkman, Nichole E.; Varughese, Eunice A.; Parshionikar, Sandhya U.
2016-01-01
EPA Method 1615 measures enteroviruses and noroviruses present in environmental and drinking waters. This method was developed with the goal of having a standardized method for use in multiple analytical laboratories during monitoring period 3 of the Unregulated Contaminant Monitoring Rule. Herein we present the protocol for extraction of viral ribonucleic acid (RNA) from water sample concentrates and for quantitatively measuring enterovirus and norovirus concentrations using reverse transcription-quantitative PCR (RT-qPCR). Virus concentrations for the molecular assay are calculated in terms of genomic copies of viral RNA per liter based upon a standard curve. The method uses a number of quality controls to increase data quality and to reduce interlaboratory and intralaboratory variation. The method has been evaluated by examining virus recovery from ground and reagent grade waters seeded with poliovirus type 3 and murine norovirus as a surrogate for human noroviruses. Mean poliovirus recoveries were 20% in groundwaters and 44% in reagent grade water. Mean murine norovirus recoveries with the RT-qPCR assay were 30% in groundwaters and 4% in reagent grade water. PMID:26862985
Tweets about hospital quality: a mixed methods study
Greaves, Felix; Laverty, Antony A; Cano, Daniel Ramirez; Moilanen, Karo; Pulman, Stephen; Darzi, Ara; Millett, Christopher
2014-01-01
Background Twitter is increasingly being used by patients to comment on their experience of healthcare. This may provide information for understanding the quality of healthcare providers and improving services. Objective To examine whether tweets sent to hospitals in the English National Health Service contain information about quality of care. To compare sentiment on Twitter about hospitals with established survey measures of patient experience and standardised mortality rates. Design A mixed methods study including a quantitative analysis of all 198 499 tweets sent to English hospitals over a year and a qualitative directed content analysis of 1000 random tweets. Twitter sentiment and conventional quality metrics were compared using Spearman's rank correlation coefficient. Key results 11% of tweets to hospitals contained information about care quality, with the most frequent topic being patient experience (8%). Comments on effectiveness or safety of care were present, but less common (3%). 77% of tweets about care quality were positive in tone. Other topics mentioned in tweets included messages of support to patients, fundraising activity, self-promotion and dissemination of health information. No associations were observed between Twitter sentiment and conventional quality metrics. Conclusions Only a small proportion of tweets directed at hospitals discuss quality of care and there was no clear relationship between Twitter sentiment and other measures of quality, potentially limiting Twitter as a medium for quality monitoring. However, tweets did contain information useful to target quality improvement activity. Recent enthusiasm by policy makers to use social media as a quality monitoring and improvement tool needs to be carefully considered and subjected to formal evaluation. PMID:24748372
Sanders, Justin J; Curtis, J Randall; Tulsky, James A
2018-03-01
High-quality care for seriously ill patients aligns treatment with their goals and values. Failure to achieve "goal-concordant" care is a medical error that can harm patients and families. Because communication between clinicians and patients enables goal concordance and also affects the illness experience in its own right, healthcare systems should endeavor to measure communication and its outcomes as a quality assessment. Yet, little consensus exists on what should be measured and by which methods. To propose measurement priorities for serious illness communication and its anticipated outcomes, including goal-concordant care. We completed a narrative review of the literature to identify links between serious illness communication, goal-concordant care, and other outcomes. We used this review to identify gaps and opportunities for quality measurement in serious illness communication. Our conceptual model describes the relationship between communication, goal-concordant care, and other relevant outcomes. Implementation-ready measures to assess the quality of serious illness communication and care include (1) the timing and setting of serious illness communication, (2) patient experience of communication and care, and (3) caregiver bereavement surveys that include assessment of perceived goal concordance of care. Future measurement priorities include direct assessment of communication quality, prospective patient or family assessment of care concordance with goals, and assessment of the bereaved caregiver experience. Improving serious illness care necessitates ensuring that high-quality communication has occurred and measuring its impact. Measuring patient experience and receipt of goal-concordant care should be our highest priority. We have the tools to measure both.
Technical methods for analyzing pricing measures to reduce transportation emissions.
DOT National Transportation Integrated Search
1998-08-01
State transportation and air quality planners have requested the Environmental Protection : Agency (EPA) and the Department of Transportation (DOT) for assistance in how to : quantify the impacts of transportation pricing measures in their regional t...
DOT National Transportation Integrated Search
2017-09-01
The mechanistic-empirical pavement design method requires the elastic resilient modulus as the key input for characterization of geomaterials. Current density-based QA procedures do not measure resilient modulus. Additionally, the density-based metho...
Quality control of fireproof coatings for reinforced concrete structures
NASA Astrophysics Data System (ADS)
Gravit, Marina; Dmitriev, Ivan; Ishkov, Alexander
2017-10-01
The article analyzes methods of quality inspection of fireproof coatings (work flow, measuring, laboratory, etc.). In modern construction there is a problem of lack of distinct monitoring for the fire protection testing. There is a description of this testing for reinforced concrete structures. The article shows the results of calculation quality control of hatches as an example of fireproof coating for reinforced concrete structures.
ERIC Educational Resources Information Center
Hong, Jinkuk; Bishop-Fitzpatrick, Lauren; Smith, Leann E.; Greenberg, Jan S.; Mailick, Marsha R.
2016-01-01
We examined factors related to subjective quality of life (QoL) of adults with autism spectrum disorder (ASD) aged 25-55 (n = 60), using the World Health Organization Quality of Life measure (WHOQOL-BREF). We used three different assessment methods: adult self-report, maternal proxy-report, and maternal report. Reliability analysis showed that…
A proteomics performance standard to support measurement quality in proteomics.
Beasley-Green, Ashley; Bunk, David; Rudnick, Paul; Kilpatrick, Lisa; Phinney, Karen
2012-04-01
The emergence of MS-based proteomic platforms as a prominent technology utilized in biochemical and biomedical research has increased the need for high-quality MS measurements. To address this need, National Institute of Standards and Technology (NIST) reference material (RM) 8323 yeast protein extract is introduced as a proteomics quality control material for benchmarking the preanalytical and analytical performance of proteomics-based experimental workflows. RM 8323 yeast protein extract is based upon the well-characterized eukaryote Saccharomyces cerevisiae and can be utilized in the design and optimization of proteomics-based methodologies from sample preparation to data analysis. To demonstrate its utility as a proteomics quality control material, we coupled LC-MS/MS measurements of RM 8323 with the NIST MS Quality Control (MSQC) performance metrics to quantitatively assess the LC-MS/MS instrumentation parameters that influence measurement accuracy, repeatability, and reproducibility. Due to the complexity of the yeast proteome, we also demonstrate how NIST RM 8323, along with the NIST MSQC performance metrics, can be used in the evaluation and optimization of proteomics-based sample preparation methods. © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
Ohtera, Shosuke; Kanazawa, Natsuko; Ozasa, Neiko; Ueshima, Kenji; Nakayama, Takeo
2017-01-27
Cardiac rehabilitation is underused and its quality in practice is unclear. A quality indicator is a measurable element of clinical practice performance. This study aimed to propose a set of quality indicators for cardiac rehabilitation following an acute coronary event in the Japanese population and conduct a small-size practice test to confirm feasibility and applicability of the indicators in real-world clinical practice. This study used a modified Delphi technique (the RAND/UCLA appropriateness method), a consensus method which involves an evidence review, a face-to-face multidisciplinary panel meeting and repeated anonymous rating. Evidence to be reviewed included clinical practice guidelines available in English or Japanese and existing quality indicators. Performance of each indicator was assessed retrospectively using medical records at a university hospital in Japan. 10 professionals in cardiac rehabilitation for the consensus panel. In the literature review, 23 clinical practice guidelines and 16 existing indicators were identified to generate potential indicators. Through the consensus-building process, a total of 30 indicators were assessed and finally 13 indicators were accepted. The practice test (n=39) revealed that 74% of patients underwent cardiac rehabilitation. Median performance of process measures was 93% (IQR 46-100%). 'Communication with the doctor who referred the patient to cardiac rehabilitation' and 'continuous participation in cardiac rehabilitation' had low performance (32% and 38%, respectively). A modified Delphi technique identified a comprehensive set of quality indicators for cardiac rehabilitation. The single-site, small-size practice test confirmed that most of the proposed indicators were measurable in real-world clinical practice. However, some clinical processes which are not covered by national health insurance in Japan had low performance. Further studies will be needed to clarify and improve the quality of care in cardiac rehabilitation. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.
A method to estimate spatiotemporal air quality in an urban traffic corridor.
Singh, Nongthombam Premananda; Gokhale, Sharad
2015-12-15
Air quality exposure assessment using personal exposure sampling or direct measurement of spatiotemporal air pollutant concentrations has difficulty and limitations. Most statistical methods used for estimating spatiotemporal air quality do not account for the source characteristics (e.g. emissions). In this study, a prediction method, based on the lognormal probability distribution of hourly-average-spatial concentrations of carbon monoxide (CO) obtained by a CALINE4 model, has been developed and validated in an urban traffic corridor. The data on CO concentrations were collected at three locations and traffic and meteorology within the urban traffic corridor.(1) The method has been developed with the data of one location and validated at other two locations. The method estimated the CO concentrations reasonably well (correlation coefficient, r≥0.96). Later, the method has been applied to estimate the probability of occurrence [P(C≥Cstd] of the spatial CO concentrations in the corridor. The results have been promising and, therefore, may be useful to quantifying spatiotemporal air quality within an urban area. Copyright © 2015 Elsevier B.V. All rights reserved.
Grimbergen, T W; van Dijk, E; de Vries, W
1998-11-01
A new method is described for the determination of x-ray quality dependent correction factors for free-air ionization chambers. The method is based on weighting correction factors for mono-energetic photons, which are calculated using the Monte Carlo method, with measured air kerma spectra. With this method, correction factors for electron loss, scatter inside the chamber and transmission through the diaphragm and front wall have been calculated for the NMi free-air chamber for medium-energy x-rays for a wide range of x-ray qualities in use at NMi. The newly obtained correction factors were compared with the values in use at present, which are based on interpolation of experimental data for a specific set of x-ray qualities. For x-ray qualities which are similar to this specific set, the agreement between the correction factors determined with the new method and those based on the experimental data is better than 0.1%, except for heavily filtered x-rays generated at 250 kV. For x-ray qualities dissimilar to the specific set, differences up to 0.4% exist, which can be explained by uncertainties in the interpolation procedure of the experimental data. Since the new method does not depend on experimental data for a specific set of x-ray qualities, the new method allows for a more flexible use of the free-air chamber as a primary standard for air kerma for any x-ray quality in the medium-energy x-ray range.
Gorecki, Claudia; Lamping, Donna L; Brown, Julia M; Madill, Anna; Firth, Jill; Nixon, Jane
2010-12-01
Evaluating outcomes such as health-related quality of life is particularly important and relevant in skin conditions such as pressure ulcers where the condition and associated interventions pose substantial burden to patients. Measures to evaluate such outcomes need to be developed by utilising patient-perspective to ensure that content and conceptualisation is relevant to patients. Our aim was to develop a conceptual framework of health-related quality of life in pressure ulcers, based on patients' views about the impact of pressure ulcers and interventions on health-related quality of life to inform the development of a new patient-reported outcome measure. SETTING, PARTICIPANTS AND METHODS: We developed a working conceptual framework based on a previous review of the literature, then used semi-structured qualitative interviews with 30 adults with pressure ulcers (22-94 years) purposively sampled from hospital, community and rehabilitation care settings in England and Northern Ireland to obtain patients' views, and thematic content analysis and review by a multidisciplinary expert group to develop the final conceptual framework. Our conceptual model includes four health-related quality of life domains (symptoms, physical functioning, psychological well-being, social functioning), divided into 13 sub-domains and defined by specific descriptive components. We have identified health-related quality of life outcomes that are important to people with pressure ulcers and developed a conceptual framework using robust and systematic methods, which provides the basis for the development of a new pressure ulcer-specific measure of health-related quality of life. Copyright © 2010 Elsevier Ltd. All rights reserved.
Goujon, Nicolas; Devine, Alexandra; Baker, Sally M; Sprunt, Beth; Edmonds, Tanya J; Booth, Jennifer K; Keeffe, Jill E
2014-01-01
A review of existing measurement instruments was conducted to examine their suitability to measure disability prevalence and assess quality of life, protection of disability rights and community participation by people with disabilities, specifically within the context of development programs in low and middle-income countries. From a search of PubMed and the grey literature, potentially relevant measurement instruments were identified and examined for their content and psychometric properties, where possible. Criteria for inclusion were: based on the WHO's International Classification of Functioning Disability and Health (ICF), used quantitative methods, suitable for population-based studies of disability inclusive development in English and published after 1990. Characteristics of existing instruments were analysed according to components of the ICF and quality of life domains. Ten instruments were identified and reviewed according to the criteria listed above. Each version of instruments was analysed separately. Only three instruments included a component on quality of life. Domains from the ICF that were addressed by some but not all instruments included the environment, technology and communication. The measurement instruments reviewed covered the range of elements required to measure disability-inclusion within development contexts. However no single measurement instrument has the capacity to measure both disability prevalence and changes in quality of life according to contemporary disability paradigms. The review of measurement instruments supports the need for developing an instrument specifically intended to measure disability inclusive practice within development programs. Implications for Rehabilitation Surveys and tools are needed to plan disability inclusive development. Existing measurement tools to determine prevalence of disability, wellbeing, rights and access to the community were reviewed. No single validated tool exists for population-based studies, uses quantitative methods and the components of the ICF to measure prevalence of disability, well-being of people with disability and their access to their communities. A measurement tool that reflects the UNCRPD and addresses all components of the ICF is needed to assist in disability inclusive development, especially in low and mid resource countries.
Drewnowski, Adam; Aggarwal, Anju; Cook, Andrea; Stewart, Orion; Vernez Moudon, Anne
2016-01-01
Background Higher socioeconomic status (SES) has been linked with higher-quality diets. New GIS methods allow for geographic mapping of diet quality at a very granular level. Objective To examine the geographic distribution of two measures of diet quality: Healthy Eating Index (HEI 2005 and HEI 2010) in relation to residential property values in Seattle-King County. Methods The Seattle Obesity Study (SOS) collected data from a population-based sample of King County adults in 2008–09. Socio-demographic data were obtained by 20-min telephone survey. Dietary data were obtained from food frequency questionnaires (FFQs). Home addresses were geocoded to the tax parcel and residential property values were obtained from the King County tax assessor. Multivariable regression analyses using 1,116 adults tested associations between SES variables and diet quality measured (HEI scores). Results Residential property values, education, and incomes were associated with higher HEI scores in bivariate analyses. Property values were not collinear with either education or income. In adjusted multivariable models, education and residential property were better associated with HEI, compared to than income. Mapping of HEI-2005 and HEI-2010 at the census block level illustrated the geographic distribution of diet quality across Seattle-King County. Conclusion The use of residential property values, an objective measure of SES, allowed for the first visual exploration of diet quality at high spatial resolution: the census block level. PMID:26657348
ERIC Educational Resources Information Center
Schweig, Jonathan
2013-01-01
Measuring school and classroom environments has become central in a nation-wide effort to develop comprehensive programs that measure teacher quality and teacher effectiveness. Formulating successful programs necessitates accurate and reliable methods for measuring these environmental variables. This paper uses a generalizability theory framework…
Development and Evaluation of a Measure of Library Automation.
ERIC Educational Resources Information Center
Pungitore, Verna L.
1986-01-01
Construct validity and reliability estimates indicate that study designed to measure utilization of automation in public and academic libraries was successful in tentatively identifying and measuring three subdimensions of level of automation: quality of hardware, method of software development, and number of automation specialists. Questionnaire…
SUPPORT FOR REFERENCE AND EQUIVALENCY PROGRAM
Federal Reference Methods (FRMs) and Federal Equivalent Methods (FEMs) form the backbone of the EPA's national monitoring strategy. They are the measurement methodologies that define attainment of a National Ambient Air Quality Standard (NAAQS). As knowledge and technology adva...
Methods for improved forewarning of critical events across multiple data channels
Hively, Lee M [Philadelphia, TN
2007-04-24
This disclosed invention concerns improvements in forewarning of critical events via phase-space dissimilarity analysis of data from mechanical devices, electrical devices, biomedical data, and other physical processes. First, a single channel of process-indicative data is selected that can be used in place of multiple data channels without sacrificing consistent forewarning of critical events. Second, the method discards data of inadequate quality via statistical analysis of the raw data, because the analysis of poor quality data always yields inferior results. Third, two separate filtering operations are used in sequence to remove both high-frequency and low-frequency artifacts using a zero-phase quadratic filter. Fourth, the method constructs phase-space dissimilarity measures (PSDM) by combining of multi-channel time-serial data into a multi-channel time-delay phase-space reconstruction. Fifth, the method uses a composite measure of dissimilarity (C.sub.i) to provide a forewarning of failure and an indicator of failure onset.
2011-01-01
Background Public and private family planning providers face different incentive structures, which may affect overall quality and ultimately the acceptability of family planning for their intended clients. This analysis seeks to quantify differences in the quality of family planning (FP) services at public and private providers in three representative sub-Saharan African countries (Tanzania, Kenya and Ghana), to assess how these quality differentials impact upon FP clients' satisfaction, and to suggest how quality improvements can improve contraceptive continuation rates. Methods Indices of technical, structural and process measures of quality are constructed from Service Provision Assessments (SPAs) conducted in Tanzania (2006), Kenya (2004) and Ghana (2002) using direct observation of facility attributes and client-provider interactions. Marginal effects from multivariate regressions controlling for client characteristics and the multi-stage cluster sample design assess the relative importance of different measures of structural and process quality at public and private facilities on client satisfaction. Results Private health facilities appear to be of higher (interpersonal) process quality than public facilities but not necessarily higher technical quality in the three countries, though these differentials are considerably larger at lower level facilities (clinics, health centers, dispensaries) than at hospitals. Family planning client satisfaction, however, appears considerably higher at private facilities - both hospitals and clinics - most likely attributable to both process and structural factors such as shorter waiting times and fewer stockouts of methods and supplies. Conclusions Because the public sector represents the major source of family planning services in developing countries, governments and Ministries of Health should continue to implement and to encourage incentives, perhaps performance-based, to improve quality at public sector health facilities, as well as to strengthen regulatory and monitoring structures to ensure quality at both public and private facilities. In the meantime, private providers appear to be fulfilling an important gap in the provision of FP services in these countries. PMID:21864335
Hospital on a page: standardizing data presentation to drive quality improvement.
Heenan, Michael; DiEmanuele, Michelle; Hayward-Murray, Kathryn; Dadgar, Ladan
2012-01-01
Over the past five years, the Credit Valley Hospital (CVH) invested time and financial and human resources into performance measurement systems. In doing so, CVH launched a number of data tools including electronic scorecards and dashboards. However, the processes and accountability structures associated with the tools struggled to gain credibility with clinical and administrative leadership as the performance measurement system was primarily driven by the technology rather than a sound information strategy. Although a corporate-level scorecard was regularly updated, program-related scorecards and other measurement tools were only populated when programs reported to the board, at the time of accreditation or as a result of regulatory requirements. In addition, information contained in data reports was often presented in a manner that did not engage clinical and corporate decision-makers in the key issues of quality, access and sustainability. Following the release of its new strategic plan in 2009, CVH renewed its performance measurement framework and the methods by which it presented data so that the organization's strategic plan could be implemented and measured from the boardroom to the bedside. Long, complex spreadsheets were transformed into strategically designed, easy-to-understand, easy-to-access reports released in a standardized method in terms of format, media, content and timing. The following article describes the method CVH adopted to communicate the organization's performance and the role it played in enhancing the culture of quality and patient safety within the hospital.
Evaluation of 3 dental unit waterline contamination testing methods
Porteous, Nuala; Sun, Yuyu; Schoolfield, John
2015-01-01
Previous studies have found inconsistent results from testing methods used to measure heterotrophic plate count (HPC) bacteria in dental unit waterline (DUWL) samples. This study used 63 samples to compare the results obtained from an in-office chairside method and 2 currently used commercial laboratory HPC methods (Standard Methods 9215C and 9215E). The results suggest that the Standard Method 9215E is not suitable for application to DUWL quality monitoring, due to the detection of limited numbers of heterotrophic organisms at the required 35°C incubation temperature. The results also confirm that while the in-office chairside method is useful for DUWL quality monitoring, the Standard Method 9215C provided the most accurate results. PMID:25574718
Quality Improvement of Liver Ultrasound Images Using Fuzzy Techniques.
Bayani, Azadeh; Langarizadeh, Mostafa; Radmard, Amir Reza; Nejad, Ahmadreza Farzaneh
2016-12-01
Liver ultrasound images are so common and are applied so often to diagnose diffuse liver diseases like fatty liver. However, the low quality of such images makes it difficult to analyze them and diagnose diseases. The purpose of this study, therefore, is to improve the contrast and quality of liver ultrasound images. In this study, a number of image contrast enhancement algorithms which are based on fuzzy logic were applied to liver ultrasound images - in which the view of kidney is observable - using Matlab2013b to improve the image contrast and quality which has a fuzzy definition; just like image contrast improvement algorithms using a fuzzy intensification operator, contrast improvement algorithms applying fuzzy image histogram hyperbolization, and contrast improvement algorithms by fuzzy IF-THEN rules. With the measurement of Mean Squared Error and Peak Signal to Noise Ratio obtained from different images, fuzzy methods provided better results, and their implementation - compared with histogram equalization method - led both to the improvement of contrast and visual quality of images and to the improvement of liver segmentation algorithms results in images. Comparison of the four algorithms revealed the power of fuzzy logic in improving image contrast compared with traditional image processing algorithms. Moreover, contrast improvement algorithm based on a fuzzy intensification operator was selected as the strongest algorithm considering the measured indicators. This method can also be used in future studies on other ultrasound images for quality improvement and other image processing and analysis applications.
Externalizing Behaviors and Callous-Unemotional Traits: Different Associations With Sleep Quality
Akhtar, Reece; Holding, Benjamin C; Murray, Christina; Panatti, Jennifer; Claridge, Gordon; Sadeh, Avi; Barclay, Nicola L; O’Leary, Rachael; Maughan, Barbara; McAdams, Tom A; Rowe, Richard; Eley, Thalia C; Viding, Essi
2017-01-01
Abstract Study Objectives Sleep quality is associated with different aspects of psychopathology, but relatively little research has examined links between sleep quality and externalizing behaviors or callous-unemotional traits. We examined: (1) whether an association exists between sleep quality and externalizing behaviors; (2) whether anxiety mediates this association; (3) whether callous-unemotional traits are associated with sleep quality. Methods Data from two studies were used. Study 1 involved 1556 participants of the G1219 study aged 18–27 years (62% female). Questionnaire measures assessed sleep quality, anxiety, externalizing behaviors, and callous-unemotional traits. Study 2 involved 338 participants aged 18–66 years (65% female). Questionnaires measured sleep quality, externalizing behaviors, and callous-unemotional traits. In order to assess objective sleep quality, actigraphic data were also recorded for a week from a subsample of study 2 participants (n = 43). Results In study 1, poorer sleep quality was associated with greater externalizing behaviors. This association was partially mediated by anxiety and moderated by levels of callous-unemotional traits. There was no significant relationship between sleep quality and callous-unemotional traits. In study 2, poorer sleep quality, as assessed via self-reported but not objective measures, was associated with higher levels of externalizing behaviors. Furthermore, in study 2, better sleep quality (indicated in both questionnaires and actigraphy measures: lower mean activity, and greater sleep efficiency) was associated with higher levels of callous-unemotional traits. Conclusions Self-reports of poorer sleep quality are associated with externalizing behaviors, and this association is partially mediated by anxiety. Callous-unemotional traits are not associated with poor sleep and may even be related to better sleep quality. This is an exceptional finding given that poor sleep quality appears to be a characteristic of most psychopathology. PMID:28575510
Studies on the Evaluation Methods for the Food Quality with a Non-contact type Capacitance Sensor.
NASA Astrophysics Data System (ADS)
Narumiya, Tadaoki; Hagura, Yoshio
Changes of capacitance and temperature of ethyl alcohol, hamburger and dough with cheese filling were measured with specially-made measuring devices during the freezing and thawing. The results of measurement of capacitance and temperature suggest a linear correlation for ethyl alcohol as a single constituent substance. The adequate correlation is too estimated from the results of food samples, though the capacitance of food sample varies greatly at the start and end of freezing and thawing process. It has been demonstrated that the quality or physical condition of food sample can be determined easily by the measurement of capacitance using the specially-made devices. Also the quality or physical condition of food can be determined easily by the non-contact and non-destructive measurements of capacitance. A variety application of the present technique is conceivable for the process control of the freezing and thawing foods.
Incorporating Measures of Sleep Quality into Cancer Studies
Redeker, Nancy S.; Pigeon, Wilfred R.; Boudreau, Eilis A.
2014-01-01
Introduction/background Sleep disturbance may influence the development of cancer and responses to treatment. It is also closely tied to recovery and quality of life in cancer patients, survivors, and caregivers, and recent studies have begun to show beneficial effects of sleep promoting interventions. Despite the importance of sleep to cancer and its treatment and the availability of numerous tools for measuring sleep quality and quantity, sleep measurements are underutilized in cancer studies. Methods This review, written for cancer researchers interested in incorporating sleep measures into their studies, is designed to raise awareness about the importance of sleep and suggest strategies for including sleep evaluation in cancer studies. Conclusions Inclusion of readily available sleep measures may ultimately improve cancer care by facilitating studies that lead to a greater understanding of how sleep and sleep disturbance influence all aspects of cancer care and the patient experience. PMID:25510361
James L. Clayton; John G. King; Russell F. Thurow
1996-01-01
Intragravel water exchange provides oxygenated water, removes metabolic waste, and is an essential factor in salmonid embryo survival. Measurements of intragravel flow velocity have been suggested as an index of gravel quality and also as a useful predictor of fry emergence; however, proposed methods for measuring velocity in gravel are problematic. We evaluate an ion...
Review of methods used by chiropractors to determine the site for applying manipulation
2013-01-01
Background With the development of increasing evidence for the use of manipulation in the management of musculoskeletal conditions, there is growing interest in identifying the appropriate indications for care. Recently, attempts have been made to develop clinical prediction rules, however the validity of these clinical prediction rules remains unclear and their impact on care delivery has yet to be established. The current study was designed to evaluate the literature on the validity and reliability of the more common methods used by doctors of chiropractic to inform the choice of the site at which to apply spinal manipulation. Methods Structured searches were conducted in Medline, PubMed, CINAHL and ICL, supported by hand searches of archives, to identify studies of the diagnostic reliability and validity of common methods used to identify the site of treatment application. To be included, studies were to present original data from studies of human subjects and be designed to address the region or location of care delivery. Only English language manuscripts from peer-reviewed journals were included. The quality of evidence was ranked using QUADAS for validity and QAREL for reliability, as appropriate. Data were extracted and synthesized, and were evaluated in terms of strength of evidence and the degree to which the evidence was favourable for clinical use of the method under investigation. Results A total of 2594 titles were screened from which 201 articles met all inclusion criteria. The spectrum of manuscript quality was quite broad, as was the degree to which the evidence favoured clinical application of the diagnostic methods reviewed. The most convincing favourable evidence was for methods which confirmed or provoked pain at a specific spinal segmental level or region. There was also high quality evidence supporting the use, with limitations, of static and motion palpation, and measures of leg length inequality. Evidence of mixed quality supported the use, with limitations, of postural evaluation. The evidence was unclear on the applicability of measures of stiffness and the use of spinal x-rays. The evidence was of mixed quality, but unfavourable for the use of manual muscle testing, skin conductance, surface electromyography and skin temperature measurement. Conclusions A considerable range of methods is in use for determining where in the spine to administer spinal manipulation. The currently published evidence falls across a spectrum ranging from strongly favourable to strongly unfavourable in regard to using these methods. In general, the stronger and more favourable evidence is for those procedures which take a direct measure of the presumptive site of care– methods involving pain provocation upon palpation or localized tissue examination. Procedures which involve some indirect assessment for identifying the manipulable lesion of the spine–such as skin conductance or thermography–tend not to be supported by the available evidence. PMID:24499598
Calculation of air movement in ice caves by using the CalcFlow method
NASA Astrophysics Data System (ADS)
Meyer, Christiane; Pflitsch, Andreas; Maggi, Valter
2017-04-01
We present a method to determine the air flow regime within ice caves by temperature loggers. Technical capabilities of conducting airflow measurements are restricted by the availability of energy at the ice cave study sites throughout the year. Though the knowledge of the airflow regime is a prerequisite for the understanding of the cave climate. By cross-correlating different time series of air temperature measurements inside a cave, we define the travel time of the air between the loggers, which corresponds to the time shift of best correlation, and use this result to derive the airflow speed. Then we estimate the temperature biases and scale factors for the temperature variations observed by the different loggers by a least squares adjustment. As quality control for bias and scale we use the formal errors of the estimation process. For the calculated airflow speed quality criteria are developed by use of a simulation study. Furthermore we will apply the method to temperature measurements in the static ice cave Schellenberger Eishöhle (Germany). In the end we show how the method can be used as an advanced filter for the separation of different signal contents of the temperature measurements.
NASA Astrophysics Data System (ADS)
Leeper, R. D.; Kochendorfer, J.
2014-12-01
The effects of evaporation on precipitation measurements have been understood to bias total precipitation lower. For automated weighing-bucket gauges, the World Meteorological Organization (WMO) suggests the use of evaporative suppressants with frequent observations. However, the use of evaporation suppressants is not always feasible due to environmental hazards and the added cost of maintenance, transport, and disposal of the gauge additive. In addition, research has suggested that evaporation prior to precipitation may affect precipitation measurements from auto-recording gauges operating at sub-hourly frequencies. For further evaluation, a field campaign was conducted to monitor evaporation and its impacts on the quality of precipitation measurements from gauges used at US Climate Reference Network (USCRN) stations. Collocated Geonor gauges with (nonEvap) and without (evap) an evaporative suppressant were compared to evaluate evaporative losses and evaporation biases on precipitation measurements. From June to August, evaporative losses from the evap gauge exceeded accumulated precipitation, with an average loss of 0.12 mm h-1. However, the impact of evaporation on precipitation measurements was sensitive to calculation methods. In general, methods that utilized a longer time series to smooth out sensor noise were more sensitive to gauge (-4.6% bias with respect to control) evaporation than methods computing depth change without smoothing (< +1% bias). These results indicate that while climate and gauge design affect gauge evaporation rates computational methods can influence the magnitude of evaporation bias on precipitation measurements. It is hoped this study will advance QA techniques that mitigate the impact of evaporation biases on precipitation measurements from other automated networks.
Continuous Real-time Viability Assessment of Kidneys Based on Oxygen Consumption
Weegman, B.P.; Kirchner, V.A.; Scott, W.E.; Avgoustiniatos, E.S.; Suszynski, T.M.; Ferrer-Fabrega, J.; Rizzari, M.D.; Kidder, L.S.; Kandaswamy, R.; Sutherland, D.E.R.; Papas, K.K.
2010-01-01
Background Current ex vivo quality assessment of donor kidneys is limited to vascular resistance measurements and histological analysis. New techniques for the assessment of organ quality before transplantation may further improve clinical outcomes while expanding the depleted deceased-donor pool. We propose the measurement of whole organ oxygen consumption rate (WOOCR) as a method to assess the quality of kidneys in real time before transplantation. Methods Five porcine kidneys were procured using a donation after cardiac death (DCD) model. The renal artery and renal vein were cannulated and the kidney connected to a custom-made hypothermic machine perfusion (HMP) system equipped with an inline oxygenator and fiber-optic oxygen sensors. Kidneys were perfused at 8°C, and the perfusion parameters and partial oxygen pressures (pO2) were measured to calculate WOOCR. Results Without an inline oxygenator, the pO2 of the perfusion solution at the arterial inlet and venous outlet diminished to near 0 within minutes. However, once adequate oxygenation was provided, a significant pO2 difference was observed and used to calculate the WOOCR. The WOOCR was consistently measured from presumably healthy kidneys, and results suggest that it can be used to differentiate between healthy and purposely damaged organs. Conclusions Custom-made HMP systems equipped with an oxygenator and inline oxygen sensors can be applied for WOOCR measurements. We suggest that WOOCR is a promising approach for the real-time quality assessment of kidneys and other organs during preservation before transplantation. PMID:20692397