Quality improvement in neurology: AAN Parkinson disease quality measures

PubMed Central

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

Application of Nemerow Index Method and Integrated Water Quality Index Method in Water Quality Assessment of Zhangze Reservoir

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.

Quality measures in applications of image restoration.

PubMed

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.

Human voice quality measurement in noisy environments.

PubMed

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.

Evaporation from weighing precipitation gauges: impacts on automated gauge measurements and quality assurance methods

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.

Toward an applied technology for quality measurement in health care.

PubMed

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.

Theory and practice for measuring health care quality

PubMed Central

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

[Seed quality test methods of Paeonia suffruticosa].

PubMed

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.

Venous Thromboembolism Quality Measures Fail to Accurately Measure Quality.

PubMed

Lau, Brandyn D; Streiff, Michael B; Pronovost, Peter J; Haut, Elliott R

2018-03-20

Venous thromboembolism (VTE) is 1 of the most common causes of preventable harm for patients in hospitals. Consequently, the Joint Commission, the Centers for Medicare and Medicaid Services, the Agency for Healthcare Research and Quality, the United Kingdom Care Quality Commission, the Australian Commission on Safety and Quality in Health Care, the Maryland Health Services Cost Review Commission, and the American College of Surgeons have prioritized measuring and reporting VTE outcomes with the goal of reducing the incidence of and preventable harm from VTE. We developed a rubric for defect-free VTE prevention, graded each organizational VTE quality measure, and found that none of the current VTE-related quality measures adequately characterizes VTE prevention efforts or outcomes in hospitalized patients. Effective VTE prevention is multifactorial: clinicians must assess patients' risk for VTE and prescribe therapy appropriate for each patient's risk profile, patients must accept the prescribed therapy, and nurses must administer the therapy as prescribed. First, an ideal, defect-free VTE prevention process measure requires: (1) documentation of a standardized VTE risk assessment; (2) prescription of optimal, risk-appropriate VTE prophylaxis; and (3) administration of all risk-appropriate VTE prophylaxis as prescribed. Second, an ideal VTE outcome measure should define potentially preventable VTE as VTE that developed in patients who experienced any VTE prevention process failures. © 2018 American Heart Association, Inc.

Quality Measures for Hospice and Palliative Care: Piloting the PEACE Measures

PubMed Central

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

Adopting software quality measures for healthcare processes.

PubMed

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.

Echocardiographic Methods, Quality Review, and Measurement Accuracy in a Randomized Multicenter Clinical Trial of Marfan Syndrome

PubMed Central

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

Measuring Environmental Quality in the Southern Appalachian Mountains

Treesearch

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...

Measuring Rural Hospital Quality

ERIC Educational Resources Information Center

Moscovice, Ira; Wholey, Douglas R.; Klingner, Jill; Knott, Astrid

2004-01-01

Increased interest in the measurement of hospital quality has been stimulated by accrediting bodies, purchaser coalitions, government agencies, and other entities. This paper examines quality measurement for hospitals in rural settings. We seek to identify rural hospital quality measures that reflect quality in all hospitals and that are sensitive…

Measuring Up: Implementing a Dental Quality Measure in the Electronic Health Record Context

PubMed Central

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

Air Quality Measurements for Science and Policy

EPA Science Inventory

Air quality measurements and the methods used to conduct them are vital to advancing our knowledge of the source-to-receptor-to-health effects continuum^1-3. This information then forms the basis for evaluating and managing air quality to protect human health and welfa...

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…

Correction of stream quality trends for the effects of laboratory measurement bias

USGS Publications Warehouse

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.

CAN RAPID MEASURES OF RECREATIONAL WATER QUALITY PREDICT SWIMMING ASSOCIATED GASTROINTESTINAL ILLNESS?

EPA Science Inventory

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...

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.

RECREATIONAL WATER QUALITY AND SWIMMER HEALTH - CAN FASTER METHODS OF MEASURING RECREATIONAL WATER HELP PREVENT SWIMMING ASSOCIATED ILLNESS?

EPA Science Inventory

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...

Microbiological water methods: quality control measures for Federal Clean Water Act and Safe Drinking Water Act regulatory compliance.

PubMed

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.

Using Clinical Data Standards to Measure Quality: A New Approach.

PubMed

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.

Quality Measures for the Care of Patients with Insomnia

PubMed Central

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

National Quality Measures for Child Mental Health Care: Background, Progress, and Next Steps

PubMed Central

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

Redefining Quality Measurement in Cancer Care.

PubMed

Nardi, Elizabeth A; McCanney, James; Winckworth-Prejsnar, Katy; Schatz, Alyssa A; Adelson, Kerin; Neubauer, Marcus; Smith, Mary Lou; Walters, Ronald; Carlson, Robert W

2018-05-01

Quality measurement in oncology is increasing in significance as payment schemes shift from volume to value. As demand for quality measures increases, challenges in the development of quality measures, standardization across measures, and the limitations of health information technology have become apparent. Moreover, the time and financial burden associated with developing, tracking, and reporting quality measures are substantial. Despite these challenges, best practices and leaders in the field of quality measurement in oncology have emerged. To understand the current challenges and promising practices in quality measurement and to explore future considerations for measure development and measure reporting in oncology, NCCN convened the NCCN Policy Summit: Redefining Quality Measurement in Oncology. The summit included discussion of the current quality landscape and efforts to develop quality measures, use of quality measures in various programs, patient perspective of quality, and challenges and best practices for quality reporting. Copyright © 2018 by the National Comprehensive Cancer Network.

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.

[The measurement of data quality in censuses of population and housing].

PubMed

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

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)…

RAPIDLY MEASURED INDICATORS OF RECREATIONAL WATER QUALITY ARE PREDICTIVE OF SWIMMING ASSOCIATED GASTROINTESTINAL ILLNESS

EPA Science Inventory

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...

Quality measurement in diabetes care.

PubMed

Leas, Brian F; Berman, Bettina; Kash, Kathryn M; Crawford, Albert G; Toner, Richard W; Goldfarb, Neil I; Nash, David B

2009-10-01

This study aimed to evaluate diabetes quality measurement efforts, assess their strengths and areas for improvement, and identify gaps not adequately addressed by these measures. We conducted an environmental scan of diabetes quality measures, focusing on metrics included in the National Quality Measures Clearinghouse or promulgated by leading measurement organizations. Key informant interviews were also completed with thought leaders who develop, promote, and use quality measures. The environmental scan identified 146 distinct measures spanning 31 clinical processes or outcomes. This suggests a measurement system that is both redundant and inconsistent, with many different measures assessing the same clinical indicators. Interviewees believe that current diabetes measurement efforts are excessively broad and complex and expressed a need for better harmonization of these measures. Several gaps were also found, including a lack of measures focusing on population health, structural elements of health care, and prevention of diabetes.

DUQuE quality management measures: associations between quality management at hospital and pathway levels.

PubMed

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.

[Testing methods for seed quality of Bletilla striata].

PubMed

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.

Implications of measures of quality of life for policy development.

PubMed

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.

Methods for assessing the quality of data in public health information systems: a critical review.

PubMed

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.

Measuring Quality in Ethics Consultation.

PubMed

Bliss, Sally E; Oppenlander, Jane; Dahlke, Jacob M; Meyer, Gordon J; Williford, Eva M; Macauley, Robert C

2016-01-01

For all of the emphasis on quality improvement-as well as the acknowledged overlap between assessment of the quality of healthcare services and clinical ethics-the quality of clinical ethics consultation has received scant attention, especially in terms of empirical measurement. Recognizing this need, the second edition of Core Competencies for Health Care Ethics Consultation1 identified four domains of ethics quality: (1) ethicality, (2) stakeholders' satisfaction, (3) resolution of the presenting conflict/dilemma, and (4) education that translates into knowledge. This study is the first, to our knowledge, to directly measure all of these domains. Here we describe the quality improvement process undertaken at a tertiary care academic medical center, as well as the tools developed to measure the quality of ethics consultation, which include post-consultation satisfaction surveys and weekly case conferences. The information gained through these tools helps to improve not only the process of ethics consultation, but also the measurement and assurance of quality. Copyright 2016 The Journal of Clinical Ethics. All rights reserved.

Beyond Measurement and Reward: Methods of Motivating Quality Improvement and Accountability.

PubMed

Berenson, Robert A; Rice, Thomas

2015-12-01

The article examines public policies designed to improve quality and accountability that do not rely on financial incentives and public reporting of provider performance. Payment policy should help temper the current "more is better" attitude of physicians and provider organizations. Incentive neutrality would better support health professionals' intrinsic motivation to act in their patients' best interests to improve overall quality than would pay-for-performance plans targeted to specific areas of clinical care. Public policy can support clinicians' intrinsic motivation through approaches that support systematic feedback to clinicians and provide concrete opportunities to collaborate to improve care. Some programs administered by the Centers for Medicare & Medicaid Services, including Partnership for Patients and Conditions of Participation, deserve more attention; they represent available, but largely ignored, approaches to support providers to improve quality and protect beneficiaries against substandard care. Public policies related to quality improvement should focus more on methods of enhancing professional intrinsic motivation, while recognizing the potential role of organizations to actively promote and facilitate that motivation. Actually achieving improvement, however, will require a reexamination of the role played by financial incentives embedded in payments and the unrealistic expectations placed on marginal incentives in pay-for-performance schemes. © Health Research and Educational Trust.

Earnings Quality Measures and Excess Returns

PubMed Central

Perotti, Pietro; Wagenhofer, Alfred

2014-01-01

This paper examines how commonly used earnings quality measures fulfill a key objective of financial reporting, i.e., improving decision usefulness for investors. We propose a stock-price-based measure for assessing the quality of earnings quality measures. We predict that firms with higher earnings quality will be less mispriced than other firms. Mispricing is measured by the difference of the mean absolute excess returns of portfolios formed on high and low values of a measure. We examine persistence, predictability, two measures of smoothness, abnormal accruals, accruals quality, earnings response coefficient and value relevance. For a large sample of US non-financial firms over the period 1988–2007, we show that all measures except for smoothness are negatively associated with absolute excess returns, suggesting that smoothness is generally a favorable attribute of earnings. Accruals measures generate the largest spread in absolute excess returns, followed by smoothness and market-based measures. These results lend support to the widespread use of accruals measures as overall measures of earnings quality in the literature. PMID:26300582

Earnings Quality Measures and Excess Returns.

PubMed

Perotti, Pietro; Wagenhofer, Alfred

2014-06-01

This paper examines how commonly used earnings quality measures fulfill a key objective of financial reporting, i.e., improving decision usefulness for investors. We propose a stock-price-based measure for assessing the quality of earnings quality measures. We predict that firms with higher earnings quality will be less mispriced than other firms. Mispricing is measured by the difference of the mean absolute excess returns of portfolios formed on high and low values of a measure. We examine persistence, predictability, two measures of smoothness, abnormal accruals, accruals quality, earnings response coefficient and value relevance. For a large sample of US non-financial firms over the period 1988-2007, we show that all measures except for smoothness are negatively associated with absolute excess returns, suggesting that smoothness is generally a favorable attribute of earnings. Accruals measures generate the largest spread in absolute excess returns, followed by smoothness and market-based measures. These results lend support to the widespread use of accruals measures as overall measures of earnings quality in the literature.

A research agenda to advance quality measurement and improvement.

PubMed

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.

Candidate Quality Measures for Hand Surgery.

PubMed

2017-11-01

Quality measures are tools used by physicians, health care systems, and payers to evaluate performance, monitor the outcomes of interventions, and inform quality improvement efforts. A paucity of quality measures exist that address hand surgery care. We completed a RAND/UCLA (University of California Los Angeles) Delphi Appropriateness process with the goal of developing and evaluating candidate hand surgery quality measures to be used for national quality measure development efforts. A consortium of 9 academic upper limb surgeons completed a RAND/UCLA Delphi Appropriateness process to evaluate the importance, scientific acceptability, usability, and feasibility of 44 candidate quality measures. These addressed hand problems the panelists felt were most appropriate for quality measure development. Panelists rated the measures on an ordinal scale between 1 (definitely not valid) and 9 (definitely valid) in 2 rounds (preliminary round and final round) with an intervening face-to-face discussion. Ratings from 1 to 3 were considered not valid, 4 to 6 as equivocal or uncertain, and 7 to 9 as valid. If no more than 2 of the 9 ratings were outside the 3-point range that included the median (1-3, 4-6, or 7-9), the panelists were considered to be in agreement. If 3 or more of the panelists' ratings of a measure were within the 1 to 3 range and 3 or more ratings were in the 7 to 9 range, the panelists were considered to be in disagreement. There was agreement on 43% (19) of the measures as important, 27% (12) as scientifically sound, 48% (21) as usable, and 59% (26) as feasible to complete. Ten measures met all 4 of these criteria and were, therefore, considered valid measurements of quality. Quality measures that were developed address outcomes (patient-reported outcomes for assessment and improvement of function) and processes of care (utilization rates of imaging, antibiotics, occupational therapy, ultrasound, and operative treatment). The consortium developed 10

Characterization of Adipose Tissue Product Quality Using Measurements of Oxygen Consumption Rate.

PubMed

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.

Measuring housing quality in the absence of a monetized real estate market.

PubMed

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.

The Development of Quality Measures for the Performance and Interpretation of Esophageal Manometry

PubMed Central

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

MO-F-211-01: Methods for Completing Practice Quality Improvement (PQI).

PubMed

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.

Data-quality measures for stakeholder-implemented watershed-monitoring programs

USGS Publications Warehouse

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.

Adaptive measurements of urban runoff quality

NASA Astrophysics Data System (ADS)

Wong, Brandon P.; Kerkez, Branko

2016-11-01

An approach to adaptively measure runoff water quality dynamics is introduced, focusing specifically on characterizing the timing and magnitude of urban pollutographs. Rather than relying on a static schedule or flow-weighted sampling, which can miss important water quality dynamics if parameterized inadequately, novel Internet-enabled sensor nodes are used to autonomously adapt their measurement frequency to real-time weather forecasts and hydrologic conditions. This dynamic approach has the potential to significantly improve the use of constrained experimental resources, such as automated grab samplers, which continue to provide a strong alternative to sampling water quality dynamics when in situ sensors are not available. Compared to conventional flow-weighted or time-weighted sampling schemes, which rely on preset thresholds, a major benefit of the approach is the ability to dynamically adapt to features of an underlying hydrologic signal. A 28 km2 urban watershed was studied to characterize concentrations of total suspended solids (TSS) and total phosphorus. Water quality samples were autonomously triggered in response to features in the underlying hydrograph and real-time weather forecasts. The study watershed did not exhibit a strong first flush and intraevent concentration variability was driven by flow acceleration, wherein the largest loadings of TSS and total phosphorus corresponded with the steepest rising limbs of the storm hydrograph. The scalability of the proposed method is discussed in the context of larger sensor network deployments, as well the potential to improving control of urban water quality.

Best-Quality Vessel Identification Using Vessel Quality Measure in Multiple-Phase Coronary CT Angiography.

PubMed

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.

A new optical method coupling light polarization and Vis-NIR spectroscopy to improve the measured absorbance signal's quality of soil samples.

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.

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.

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.

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

Water Quality Sensing and Spatio-Temporal Monitoring Structure with Autocorrelation Kernel Methods.

PubMed

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.

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...

Incorporating Measures of Sleep Quality into Cancer Studies

PubMed Central

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

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.

Quality measures for nurse practitioner practice evaluation.

PubMed

Kleinpell, Ruth; Kapu, April N

2017-08-01

Evaluating the impact of nurse practitioner (NP) practice has become a priority area of focus for demonstrating outcomes. A number of quality measures are available to enable practice-specific evaluation of NP roles and initiatives. This article reviews sources of quality measures that can be used to facilitate quantifying the outcomes of NP practice as part of an overall evaluation agenda. National resources and published literature on NP quality measures were reviewed. Various resources and toolkits exist to assist NPs in identifying outcomes of practice using quality measures. The need to demonstrate outcomes of NP practice remains an ongoing priority area regardless of the clinical practice setting. A variety of sources of quality measures exist that can be used to showcase the effect of NP care. The use of quality measures can be effectively integrated into evaluation of NP role and NP-directed initiatives to demonstrate impact, and enhance the conduct of an NP outcomes assessment. The use of organizational, NP-specific, and national-related quality measures can help to showcase how NP care improves the quality, safety, and costs of health care. ©2017 American Association of Nurse Practitioners.

Water Quality Sensing and Spatio-Temporal Monitoring Structure with Autocorrelation Kernel Methods

PubMed Central

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

Tweets about hospital quality: a mixed methods study

PubMed Central

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

Colour-Difference Measurement Method for Evaluation of Quality of Electrolessly Deposited Copper on Polymer after Laser-Induced Selective Activation

PubMed Central

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

What Is Nursing Home Quality and How Is It Measured?

PubMed Central

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

Quality Assurance handbook for air pollution measurement systems. Volume 4, Meteorological measurements

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.

Cellular-enabled water quality measurements

NASA Astrophysics Data System (ADS)

Zhao, Y.; Kerkez, B.

2013-12-01

While the past decade has seen significant improvements in our ability to measure nutrients and other water quality parameters, the use of these sensors has yet to gain traction due to their costprohibitive nature and deployment expertise required on the part of researchers. Furthermore, an extra burden is incurred when real-time data access becomes an experimental requirement. We present an open-source hardware design to facilitate the real-time, low-cost, and robust measurements of water quality across large urbanized areas. Our hardware platform interfaces an embedded, vastly configurable, high-precision, ultra-low power measurement system, with a low-power cellular module. Each sensor station is configured with an IP address, permitting reliable streaming of sensor data to off-site locations as measurements are made. We discuss the role of high-quality hardware components during extreme event scenarios, and present preliminary performance metrics that validate the ability of the platform to provide streaming access to sensor measurements.

Measuring Inpatient Rehabilitation Facility Quality of Care: Discharge Self-Care Functional Status Quality Measure.

PubMed

Pardasaney, Poonam K; Deutsch, Anne; Iriondo-Perez, Jeniffer; Ingber, Melvin J; McMullen, Tara

2018-06-01

To describe the calculation and psychometric properties of the discharge self-care functional status quality measure implemented in the Centers for Medicare & Medicaid Services' (CMS) Inpatient Rehabilitation Facility (IRF) Quality Reporting Program on October 1, 2016. Medicare fee-for-service (FFS) patients from 38 IRFs that participated in the CMS Post-Acute Care Payment Reform Demonstration were included in this cohort study. Data came from the Continuity Assessment Record and Evaluation Item Set, IRF-Patient Assessment Instrument, and Medicare claims. For each patient, we calculated an expected discharge self-care score, risk-adjusted for demographic and baseline clinical characteristics. The performance score of each IRF equaled the percentage of patient stays where the observed discharge self-care score met or exceeded the expected score. We assessed the measure's discriminatory ability across IRFs and reliability. IRFs. Medicare FFS patients aged ≥21 years (N=4769). Not applicable. Facility-level discharge self-care quality measure performance score. A total of 4769 patient stays were included; 57% of stays were in women, and 12.1% were in patients aged <65 years. Stroke was the most common diagnosis (21.8%). The mean±SD performance score was 55.1%±16.6% (range, 25.8%-100%). About 54% of IRFs had scores significantly different from the percentage of stays that met or exceeded the expected discharge self-care score in the overall demonstration sample. The quality measure showed strong reliability, with intraclass correlation coefficients of .91. The discharge self-care quality measure showed strong discriminatory ability and reliability, representing an important initial step in evaluation of IRF self-care outcomes. A wide range in performance scores suggested a gap in quality of care across IRFs. Future work should include testing the measure with nationwide data from all IRFs. Published by Elsevier Inc.

Segmentation quality evaluation using region-based precision and recall measures for remote sensing images

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 measurement using administrative data in mandatory quality assurance].

PubMed

Heller, Günther; Szecsenyi, Joachim; Willms, Gerald; Broge, Björn

2014-01-01

For several years, the use of administrative data in mandatory quality measurement has been requested by several stakeholders in Germany. Main advantages of using administrative data include the reduction of documentary expenditures and the possibility to perform longitudinal quality analyses across different healthcare units. After a short introduction, a brief overview of the current use of administrative data for mandatory quality assurance as well as current developments is given, which will then be further exemplified by decubital ulcer prophylaxis. By using administrative data coding expenditures in this clinical area could be reduced by nine million data fields. At the same time the population analysed was expanded resulting in a more than tenfold increase in potentially quality-relevant events. Finally, perspectives, further developments, possibilities as well as limits of quality measurement with administrative data are discussed. Copyright © 2014. Published by Elsevier GmbH.

Rural relevant quality measures for critical access hospitals.

PubMed

Casey, Michelle M; Moscovice, Ira; Klingner, Jill; Prasad, Shailendra

2013-01-01

To identify current and future relevant quality measures for Critical Access Hospitals (CAHs). Three criteria (patient volume, internal usefulness for quality improvement, and external usefulness for public reporting and payment reform) were used to analyze quality measures for their relevance for CAHs. A 6-member panel with expertise in rural hospital quality measurement and improvement provided input regarding the final measure selection. The relevant quality measures for CAHs include measures that are ready for reporting now and measures that need specifications to be finalized and/or a data reporting mechanism to be established. They include inpatient measures for specific medical conditions, global measures that address appropriate care across multiple medical conditions, and Emergency Department measures. All CAHs should publicly report on relevant quality measures. Acceptance of a single consolidated set of quality measures with common specifications for CAHs by all entities involved in regulation, accreditation, and payment; a phased process to implement the relevant measures; and the provision of technical assistance would help CAHs meet the challenge of reporting. © 2012 National Rural Health Association.

Diagnostic image quality in gynaecological ultrasound: Who should measure it, what should we measure and how?

PubMed Central

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

Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research

PubMed Central

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

Height Measuring System On Video Using Otsu Method

NASA Astrophysics Data System (ADS)

Sandy, C. L. M.; Meiyanti, R.

2017-01-01

A measurement of height is comparing the value of the magnitude of an object with a standard measuring tool. The problems that exist in the measurement are still the use of a simple apparatus in which one of them is by using a meter. This method requires a relatively long time. To overcome these problems, this research aims to create software with image processing that is used for the measurement of height. And subsequent that image is tested, where the object captured by the video camera can be known so that the height of the object can be measured using the learning method of Otsu. The system was built using Delphi 7 of Vision Lab VCL 4.5 component. To increase the quality of work of the system in future research, the developed system can be combined with other methods.

Cumulative uncertainty in measured streamflow and water quality data for small watersheds

USGS Publications Warehouse

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

Quality measurement and improvement in liver transplantation.

PubMed

Mathur, Amit K; Talwalkar, Jayant

2018-06-01

There is growing interest in the quality of health care delivery in liver transplantation. Multiple stakeholders, including patients, transplant providers and their hospitals, payers, and regulatory bodies have an interest in measuring and monitoring quality in the liver transplant process, and understanding differences in quality across centres. This article aims to provide an overview of quality measurement and regulatory issues in liver transplantation performed within the United States. We review how broader definitions of health care quality should be applied to liver transplant care models. We outline the status quo including the current regulatory agencies, public reporting mechanisms, and requirements around quality assurance and performance improvement (QAPI) activities. Additionally, we further discuss unintended consequences and opportunities for growth in quality measurement. Quality measurement and the integration of quality improvement strategies into liver transplant programmes hold significant promise, but multiple challenges to successful implementation must be addressed to optimise value. Copyright © 2018 European Association for the Study of the Liver. Published by Elsevier B.V. All rights reserved.

Quality Measures in Orthopaedic Sports Medicine: A Systematic Review.

PubMed

Abrams, Geoffrey D; Greenberg, Daniel R; Dragoo, Jason L; Safran, Marc R; Kamal, Robin N

2017-10-01

To report the current quality measures that are applicable to orthopaedic sports medicine physicians. Six databases were searched with a customized search term to identify quality measures relevant to orthopaedic sports medicine surgeons: MEDLINE/PubMed, EMBASE, the National Quality Forum (NQF) Quality Positioning System (QPS), the Agency for Healthcare Research and Quality (AHRQ) National Quality Measures Clearinghouse (NQMC), the Physician Quality Reporting System (PQRS) database, and the American Academy of Orthopaedic Surgeons (AAOS) website. Results were screened by 2 Board-certified orthopaedic surgeons with fellowship training in sports medicine and dichotomized based on sports medicine-specific or general orthopaedic (nonarthroplasty) categories. Hip and knee arthroplasty measures were excluded. Included quality measures were further categorized based on Donabedian's domains and the Center for Medicare and Medicaid (CMS) National Quality Strategy priorities. A total of 1,292 quality measures were screened and 66 unique quality measures were included. A total of 47 were sports medicine-specific and 19 related to the general practice of orthopaedics for a fellowship-trained sports medicine specialist. Nineteen (29%) quality measures were collected within PQRS, with 5 of them relating to sports medicine and 14 relating to general orthopaedics. AAOS Clinical Practice Guidelines (CPGs) comprised 40 (60%) of the included measures and were all within sports medicine. Five (8%) additional measures were collected within AHRQ and 2 (3%) within NQF. Most quality measures consist of process rather than outcome or structural measures. No measures addressing concussions were identified. There are many existing quality measures relating to the practice of orthopaedic sports medicine. Most quality measures are process measures described within PQRS or AAOS CPGs. Knowledge of quality measures are important as they may be used to improve care, are increasingly being used to

Measurement methods to assess diastasis of the rectus abdominis muscle (DRAM): A systematic review of their measurement properties and meta-analytic reliability generalisation.

PubMed

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.

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.

Measuring functional service quality using SERVQUAL in a high-dependence health service relationship.

PubMed

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.

Video quality assessment method motivated by human visual perception

NASA Astrophysics Data System (ADS)

He, Meiling; Jiang, Gangyi; Yu, Mei; Song, Yang; Peng, Zongju; Shao, Feng

2016-11-01

Research on video quality assessment (VQA) plays a crucial role in improving the efficiency of video coding and the performance of video processing. It is well acknowledged that the motion energy model generates motion energy responses in a middle temporal area by simulating the receptive field of neurons in V1 for the motion perception of the human visual system. Motivated by the biological evidence for the visual motion perception, a VQA method is proposed in this paper, which comprises the motion perception quality index and the spatial index. To be more specific, the motion energy model is applied to evaluate the temporal distortion severity of each frequency component generated from the difference of Gaussian filter bank, which produces the motion perception quality index, and the gradient similarity measure is used to evaluate the spatial distortion of the video sequence to get the spatial quality index. The experimental results of the LIVE, CSIQ, and IVP video databases demonstrate that the random forests regression technique trained by the generated quality indices is highly correspondent to human visual perception and has many significant improvements than comparable well-performing methods. The proposed method has higher consistency with subjective perception and higher generalization capability.

Nebraska's forests, 2005: statistics, methods, and quality assurance

Treesearch

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

Treesearch

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...

Methods of Measurement in epidemiology: Sedentary Behaviour

PubMed Central

Atkin, Andrew J; Gorely, Trish; Clemes, Stacy A; Yates, Thomas; Edwardson, Charlotte; Brage, Soren; Salmon, Jo; Marshall, Simon J; Biddle, Stuart JH

2012-01-01

Background Research examining sedentary behaviour as a potentially independent risk factor for chronic disease morbidity and mortality has expanded rapidly in recent years. Methods We present a narrative overview of the sedentary behaviour measurement literature. Subjective and objective methods of measuring sedentary behaviour suitable for use in population-based research with children and adults are examined. The validity and reliability of each method is considered, gaps in the literature specific to each method identified and potential future directions discussed. Results To date, subjective approaches to sedentary behaviour measurement, e.g. questionnaires, have focused predominantly on TV viewing or other screen-based behaviours. Typically, such measures demonstrate moderate reliability but slight to moderate validity. Accelerometry is increasingly being used for sedentary behaviour assessments; this approach overcomes some of the limitations of subjective methods, but detection of specific postures and postural changes by this method is somewhat limited. Instruments developed specifically for the assessment of body posture have demonstrated good reliability and validity in the limited research conducted to date. Miniaturization of monitoring devices, interoperability between measurement and communication technologies and advanced analytical approaches are potential avenues for future developments in this field. Conclusions High-quality measurement is essential in all elements of sedentary behaviour epidemiology, from determining associations with health outcomes to the development and evaluation of behaviour change interventions. Sedentary behaviour measurement remains relatively under-developed, although new instruments, both objective and subjective, show considerable promise and warrant further testing. PMID:23045206

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…

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.

Bone quality assessment for total hip arthroplasty with intraoperative trabecular torque measurements.

PubMed

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.

Quality measurement in physician-staffed emergency medical services: a systematic literature review.

PubMed

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.

Apparatus and method for acoustic monitoring of steam quality and flow

DOEpatents

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.

Health Care Quality: Measuring Obesity in Performance Frameworks.

PubMed

Zvenyach, Tracy; Pickering, Matthew K

2017-08-01

Obesity affects over one-third of Americans and leads to several chronic and costly comorbid conditions. The national movement toward value-based care calls for a refocusing of efforts to address the US obesity epidemic. To help set the stage, the current landscape of obesity-specific quality measures was evaluated. Seven quality measure databases and nine professional societies were searched. Inclusion and exclusion criteria were applied. Measures were then classified by domain and by implementation in national public programs. Eleven obesity-specific quality measures in adults were identified (nine process and two outcome). Three measures received National Quality Forum (NQF) endorsement. Two measures were actively used within Centers for Medicare and Medicaid Services (CMS) programs. Only one measure was both NQF-endorsed and used by CMS. Limitations exist with respect to obesity-specific quality metrics. Such gaps provide opportunities for obesity care specialists to engage and offer valuable insights and pragmatic approaches toward quality measurement. © 2017 The Obesity Society.

History and background of quality measurement.

PubMed

Chun, Jonathan; Bafford, Andrea Chao

2014-03-01

Health care quality measurement has become increasingly emphasized, as providers and administrators respond to public and government demands for improved patient care. This article will review the evolution of surgical quality measurement and improvement from its infancy in the 1850s to the vast efforts being undertaken today.

More quality measures versus measuring what matters: a call for balance and parsimony

PubMed Central

Nelson, Eugene C; Pryor, David B; James, Brent; Swensen, Stephen J; Kaplan, Gary S; Weissberg, Jed I; Bisognano, Maureen; Yates, Gary R; Hunt, Gordon C

2012-01-01

External groups requiring measures now include public and private payers, regulators, accreditors and others that certify performance levels for consumers, patients and payers. Although benefits have accrued from the growth in quality measurement, the recent explosion in the number of measures threatens to shift resources from improving quality to cover a plethora of quality-performance metrics that may have a limited impact on the things that patients and payers want and need (ie, better outcomes, better care, and lower per capita costs). Here we propose a policy that quality measurement should be: balanced to meet the need of end users to judge quality and cost performance and the need of providers to continuously improve the quality, outcomes and costs of their services; and parsimonious to measure quality, outcomes and costs with appropriate metrics that are selected based on end-user needs. PMID:22893696

More quality measures versus measuring what matters: a call for balance and parsimony.

PubMed

Meyer, Gregg S; Nelson, Eugene C; Pryor, David B; James, Brent; Swensen, Stephen J; Kaplan, Gary S; Weissberg, Jed I; Bisognano, Maureen; Yates, Gary R; Hunt, Gordon C

2012-11-01

External groups requiring measures now include public and private payers, regulators, accreditors and others that certify performance levels for consumers, patients and payers. Although benefits have accrued from the growth in quality measurement, the recent explosion in the number of measures threatens to shift resources from improving quality to cover a plethora of quality-performance metrics that may have a limited impact on the things that patients and payers want and need (ie, better outcomes, better care, and lower per capita costs). Here we propose a policy that quality measurement should be: balanced to meet the need of end users to judge quality and cost performance and the need of providers to continuously improve the quality, outcomes and costs of their services; and parsimonious to measure quality, outcomes and costs with appropriate metrics that are selected based on end-user needs.

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.

[Development of methods and instruments for external quality assurance in inpatient parent-child rehabilitation and prevention].

PubMed

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.

EPA Method 1615. Measurement of Enterovirus and Norovirus ...

EPA Pesticide Factsheets

A standardized method is required when national studies on virus occurrence in environmental and drinking waters utilize multiple analytical laboratories. The U.S Environmental Protection Agency’s (USEPA) Method 1615 was developed with the goal of providing such a standard for measuring Enterovirus and Norovirus in these waters. Virus is concentrated from water using an electropositive filter, eluted from the filter surface with beef extract, and then concentrated further using organic flocculation. Herein we present the protocol from Method 1615 for filter elution, secondary concentration, and measurement of total culturable viruses. A portion of the concentrated eluate from each sample is inoculated onto ten replicate flasks of Buffalo Green Monkey kidney cells. The number of flasks demonstrating cytopathic effects is used to quantify the most probable number (MPN) of infectious units per liter. The method uses a number of quality controls to increase data quality and to reduce interlaboratory and intralaboratory variation. Laboratories must meet defined performance standards. Method 1615 was evaluated by examining virus recovery from reagent-grade and ground waters seeded with Sabin poliovirus type 3. Mean poliovirus recoveries with the total culturable assay were 111% in reagent grade water and 58% in groundwaters. EPA Method 1615 is being used by a number of national and international labs. This paper and the accompanying video will provide training oppo

Measurement system with high accuracy for laser beam quality.

PubMed

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%.

RAPID METHODS FOR MEASURING INDICATOR BACTERIA IN BATHING BEACH WATERS

EPA Science Inventory

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...

Measures and Indicators of Vgi Quality: AN Overview

NASA Astrophysics Data System (ADS)

Antoniou, V.; Skopeliti, A.

2015-08-01

The evaluation of VGI quality has been a very interesting and popular issue amongst academics and researchers. Various metrics and indicators have been proposed for evaluating VGI quality elements. Various efforts have focused on the use of well-established methodologies for the evaluation of VGI quality elements against authoritative data. In this paper, a number of research papers have been reviewed and summarized in a detailed report on measures for each spatial data quality element. Emphasis is given on the methodology followed and the data used in order to assess and evaluate the quality of the VGI datasets. However, as the use of authoritative data is not always possible many researchers have turned their focus on the analysis of new quality indicators that can function as proxies for the understanding of VGI quality. In this paper, the difficulties in using authoritative datasets are briefly presented and new proposed quality indicators are discussed, as recorded through the literature review. We classify theses new indicators in four main categories that relate with: i) data, ii) demographics, iii) socio-economic situation and iv) contributors. This paper presents a dense, yet comprehensive overview of the research on this field and provides the basis for the ongoing academic effort to create a practical quality evaluation method through the use of appropriate quality indicators.

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.

A proteomics performance standard to support measurement quality in proteomics.

PubMed

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.

Field methods and quality-assurance plan for water-quality activities and water-level measurements, U.S. Geological Survey, Idaho National Laboratory, Idaho

USGS Publications Warehouse

Bartholomay, Roy C.; Maimer, Neil V.; Wehnke, Amy J.

2014-01-01

Water-quality activities and water-level measurements by the personnel of the U.S. Geological Survey (USGS) Idaho National Laboratory (INL) Project Office coincide with the USGS mission of appraising the quantity and quality of the Nation’s water resources. The activities are carried out in cooperation with the U.S. Department of Energy (DOE) Idaho Operations Office. Results of the water-quality and hydraulic head investigations are presented in various USGS publications or in refereed scientific journals and the data are stored in the National Water Information System (NWIS) database. The results of the studies are used by researchers, regulatory and managerial agencies, and interested civic groups. In the broadest sense, quality assurance refers to doing the job right the first time. It includes the functions of planning for products, review and acceptance of the products, and an audit designed to evaluate the system that produces the products. Quality control and quality assurance differ in that quality control ensures that things are done correctly given the “state-of-the-art” technology, and quality assurance ensures that quality control is maintained within specified limits.

Healthcare quality measurement in orthopaedic surgery: current state of the art.

PubMed

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.

A review of data quality assessment methods for public health information systems.

PubMed

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

PubMed Central

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

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,…

Evaluating the quality of a cell counting measurement process via a dilution series experimental design.

PubMed

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.

A PROMIS Measure of Neuropathic Pain Quality

PubMed Central

Askew, Robert L.; Cook, Karon F.; Keefe, Francis J.; Nowinski, Cindy J; Cella, David; Revicki, Dennis A.; DeWitt, Esi M. Morgan; Michaud, Kaleb; Trence, Dace L.; Amtmann, Dagmar

2016-01-01

Objectives Neuropathic pain is a consequence of many chronic conditions. This study aimed to develop a unidimensional neuropathic pain scale whose scores represent levels of neuropathic pain and distinguish between individuals with neuropathic and non-neuropathic pain conditions. Methods A candidate item pool of 42 pain quality descriptors was administered to participants with osteoarthritis, rheumatoid arthritis, diabetic neuropathy, and cancer chemotherapy-induced peripheral neuropathy. A subset of pain quality descriptors (items) that best distinguished between participants with and those without neuropathic pain conditions were identified. Dimensionality of pain descriptors was evaluated in a development sample and cross-validated in a hold-out sample. Item responses were calibrated using an item response theory model, and scores were generated on a T-score metric. Neuropathic pain scale scores were evaluated in terms of reliability, validity, and the ability to distinguish between participants with and without conditions typically associated with neuropathic pain. Results Of the 42 initial items, 5 were identified for the Patient Reported Outcome Measurement Information System (PROMIS) Neuropathic Pain Quality scale (PROMIS-PQ-Neuro). The IRT-generated T-scores exhibited good discriminatory ability based on receiver operator characteristic analysis. Score thresholds were identified that optimize sensitivity and specificity. Construct, criterion, and discriminant validity, and reliability of scale scores were supported. Conclusions The 5-item PROMIS PQ-Neuro is a short and practical measure that can be used to identify patients more likely to have neuropathic pain and to distinguish levels of neuropathic pain. The data collected will support future research that targets other unidimensional pain quality domains (e.g., nociceptive pain). PMID:27565279

Laboratory Evaluations of the Enterococcus qPCR Method for Recreational Water Quality Testing: Method Performance and Sources of Uncertainty in Quantitative Measurements

EPA Science Inventory

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...

Water Quality Assessment for Deep-water Channel area of Guangzhou Port based on the Comprehensive Water Quality Identification Index Method

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.

Image Quality Ranking Method for Microscopy

PubMed Central

Koho, Sami; Fazeli, Elnaz; Eriksson, John E.; Hänninen, Pekka E.

2016-01-01

Automated analysis of microscope images is necessitated by the increased need for high-resolution follow up of events in time. Manually finding the right images to be analyzed, or eliminated from data analysis are common day-to-day problems in microscopy research today, and the constantly growing size of image datasets does not help the matter. We propose a simple method and a software tool for sorting images within a dataset, according to their relative quality. We demonstrate the applicability of our method in finding good quality images in a STED microscope sample preparation optimization image dataset. The results are validated by comparisons to subjective opinion scores, as well as five state-of-the-art blind image quality assessment methods. We also show how our method can be applied to eliminate useless out-of-focus images in a High-Content-Screening experiment. We further evaluate the ability of our image quality ranking method to detect out-of-focus images, by extensive simulations, and by comparing its performance against previously published, well-established microscopy autofocus metrics. PMID:27364703

A comprehensive method for GNSS data quality determination to improve ionospheric data analysis.

PubMed

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.

[Quality concept in health care. Methodology for its measurement].

PubMed

Morera Guitart, J

2003-12-01

It is increasingly necessary that the neurologists achieve basic knowledgement in clinical management and medical care quality. We will review the concepts of medical care quality (MCQ). Of the definitions checked, we want to emphasize the following aspects. a) application of current scientific knowledge; b) interpersonal relationship; c) environment where the assistance is dispensed; d) results in health; e) cost of assistance; f) risks for the patient and g) patient satisfaction. For the analysis of the MCQ we could distinguish several components: scientific-technical component, efficacy, effectiveness, efficiency, accessibility, continuity, equity, appropriateness, and satisfaction of the patient and of the professional. One of the main objectives to measure the MCQ is to improve the assistance itself. For its measurement we can employ diverse methods depending on our objective: to improve the process, to do Benchmarking, to know the satisfaction of the patients or to guarantee the quality of the medical attention. The most used tools for this measurement are: establishment of criteria-indicator-standard for quality, elaboration of satisfaction questionnaires, interviews to key informant, analysis of complaints and claims of patients and professionals, and clinical audits. The role of the neurologist in the achievement of a high quality neurological attention if fundamental. Therefore, it is necessary some specific formation on: scientific and technical matter, communicative abilities, teamworking, management and organisation of tasks and pharmaco-economic evaluation, and a cultural change that involves every professional on the co-responsibility of the continuous improvement of the processes and of the results of his work, advancing gradually towards the excellence of medical assistance.

North Dakota's forests, 2005: statistics, methods, and quality assurance

Treesearch

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

Treesearch

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...

Crowdsourcing as an Analytical Method: Metrology of Smartphone Measurements in Heritage Science.

PubMed

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.

DATA QUALITY OBJECTIVES AND MEASUREMENT QUALITY OBJECTIVES FOR RESEARCH PROJECTS

EPA Science Inventory

The paper provides assistance with systematic planning using measurement quality objectives to those working on research projects. These performance criteria are more familiar to researchers than data quality objectives because they are more closely associated with the measuremen...

Air quality measurements-From rubber bands to tapping the rainbow.

PubMed

Hidy, George M; Mueller, Peter K; Altshuler, Samuel L; Chow, Judith C; Watson, John G

2017-06-01

It is axiomatic that good measurements are integral to good public policy for environmental protection. The generalized term for "measurements" includes sampling and quantitation, data integrity, documentation, network design, sponsorship, operations, archiving, and accessing for applications. Each of these components has evolved and advanced over the last 200 years as knowledge of atmospheric chemistry and physics has matured. Air quality was first detected by what people could see and smell in contaminated air. Gaseous pollutants were found to react with certain materials or chemicals, changing the color of dissolved reagents such that their light absorption at selected wavelengths could be related to both the pollutant chemistry and its concentration. Airborne particles have challenged the development of a variety of sensory devices and laboratory assays for characterization of their enormous range of physical and chemical properties. Advanced electronics made possible the sampling, concentration, and detection of gases and particles, both in situ and in laboratory analysis of collected samples. Accurate and precise measurements by these methods have made possible advanced air quality management practices that led to decreasing concentrations over time. New technologies are leading to smaller and cheaper measurement systems that can further expand and enhance current air pollution monitoring networks. Ambient air quality measurement systems have a large influence on air quality management by determining compliance, tracking trends, elucidating pollutant transport and transformation, and relating concentrations to adverse effects. These systems consist of more than just instrumentation, and involve extensive support efforts for siting, maintenance, calibration, auditing, data validation, data management and access, and data interpretation. These requirements have largely been attained for criteria pollutants regulated by National Ambient Air Quality Standards

Designing and evaluating the MULTICOM protein local and global model quality prediction methods in the CASP10 experiment

PubMed Central

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

Designing and evaluating the MULTICOM protein local and global model quality prediction methods in the CASP10 experiment.

PubMed

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.

Evaluating the Psychometric Quality of Social Skills Measures: A Systematic Review

PubMed Central

Brown, Ted; Bourke-Taylor, Helen; Doma, Kenji; Leicht, Anthony

2015-01-01

Introduction Impairments in social functioning are associated with an array of adverse outcomes. Social skills measures are commonly used by health professionals to assess and plan the treatment of social skills difficulties. There is a need to comprehensively evaluate the quality of psychometric properties reported across these measures to guide assessment and treatment planning. Objective To conduct a systematic review of the literature on the psychometric properties of social skills and behaviours measures for both children and adults. Methods A systematic search was performed using four electronic databases: CINAHL, PsycINFO, Embase and Pubmed; the Health and Psychosocial Instruments database; and grey literature using PsycExtra and Google Scholar. The psychometric properties of the social skills measures were evaluated against the COSMIN taxonomy of measurement properties using pre-set psychometric criteria. Results Thirty-Six studies and nine manuals were included to assess the psychometric properties of thirteen social skills measures that met the inclusion criteria. Most measures obtained excellent overall methodological quality scores for internal consistency and reliability. However, eight measures did not report measurement error, nine measures did not report cross-cultural validity and eleven measures did not report criterion validity. Conclusions The overall quality of the psychometric properties of most measures was satisfactory. The SSBS-2, HCSBS and PKBS-2 were the three measures with the most robust evidence of sound psychometric quality in at least seven of the eight psychometric properties that were appraised. A universal working definition of social functioning as an overarching construct is recommended. There is a need for ongoing research in the area of the psychometric properties of social skills and behaviours instruments. PMID:26151362

Measuring patient-perceived hospital service quality: a conceptual framework.

PubMed

Pai, Yogesh P; Chary, Satyanarayana T

2016-04-18

Purpose - Although measuring healthcare service quality is not a new phenomenon, the instruments used to measure are timeworn. With the shift in focus to patient centric processes in hospitals and recognizing healthcare to be different compared to other services, service quality measurement needs to be tuned specifically to healthcare. The purpose of this paper is to design a conceptual framework for measuring patient perceived hospital service quality (HSQ), based on existing service quality literature. Design/methodology/approach - Using HSQ theories, expanding existing healthcare service models and literature, a conceptual framework is proposed to measure HSQ. The paper outlines patient perceived service quality dimensions. Findings - An instrument for measuring HSQ dimensions is developed and compared with other service quality measuring instruments. The latest dimensions are in line with previous studies, but a relationship dimension is added. Practical implications - The framework empowers managers to assess healthcare quality in corporate, public and teaching hospitals. Originality/value - The paper helps academics and practitioners to assess HSQ from a patient perspective.

Towards a Quality Assessment Method for Learning Preference Profiles in Negotiation

NASA Astrophysics Data System (ADS)

Hindriks, Koen V.; Tykhonov, Dmytro

In automated negotiation, information gained about an opponent's preference profile by means of learning techniques may significantly improve an agent's negotiation performance. It therefore is useful to gain a better understanding of how various negotiation factors influence the quality of learning. The quality of learning techniques in negotiation are typically assessed indirectly by means of comparing the utility levels of agreed outcomes and other more global negotiation parameters. An evaluation of learning based on such general criteria, however, does not provide any insight into the influence of various aspects of negotiation on the quality of the learned model itself. The quality may depend on such aspects as the domain of negotiation, the structure of the preference profiles, the negotiation strategies used by the parties, and others. To gain a better understanding of the performance of proposed learning techniques in the context of negotiation and to be able to assess the potential to improve the performance of such techniques a more systematic assessment method is needed. In this paper we propose such a systematic method to analyse the quality of the information gained about opponent preferences by learning in single-instance negotiations. The method includes measures to assess the quality of a learned preference profile and proposes an experimental setup to analyse the influence of various negotiation aspects on the quality of learning. We apply the method to a Bayesian learning approach for learning an opponent's preference profile and discuss our findings.

Measuring the quality of junior hospital doctors in general medicine.

PubMed

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.

Innovative United Kingdom Approaches To Measuring Service Quality.

ERIC Educational Resources Information Center

Winkworth, Ian

2001-01-01

Reports on approaches to measuring the service quality of academic libraries in the United Kingdom. Discusses the role of government and the national background of quality measurement; measurement frameworks; better use of statistics; benchmarking; measuring user satisfaction; and possible future development. (Author/LRW)

Quantitative comparison of measurements of urgent care service quality.

PubMed

Qin, Hong; Prybutok, Victor; Prybutok, Gayle

2016-01-01

Service quality and patient satisfaction are essential to health care organization success. Parasuraman, Zeithaml, and Berry introduced SERVQUAL, a prominent service quality measure not yet applied to urgent care. We develop an instrument to measure perceived service quality and identify the determinants of patient satisfaction/ behavioral intentions. We examine the relationships among perceived service quality, patient satisfaction and behavioral intentions, and demonstrate that urgent care service quality is not equivalent using measures of perceptions only, differences of expectations minus perceptions, ratio of perceptions to expectations, and the log of the ratio. Perceptions provide the best measure of urgent care service quality.

Quality Measures for the Care of Patients with Narcolepsy

PubMed Central

Krahn, Lois E.; Hershner, Shelley; Loeding, Lauren D.; Maski, Kiran P.; Rifkin, Daniel I.; Selim, Bernardo; Watson, Nathaniel F.

2015-01-01

The American Academy of Sleep Medicine (AASM) commissioned a Workgroup to develop quality measures for the care of patients with narcolepsy. Following a comprehensive literature search, 306 publications were found addressing quality care or measures. Strength of association was graded between proposed process measures and desired outcomes. Following the AASM process for quality measure development, we identified three outcomes (including one outcome measure) and seven process measures. The first desired outcome was to reduce excessive daytime sleepiness by employing two process measures: quantifying sleepiness and initiating treatment. The second outcome was to improve the accuracy of diagnosis by employing the two process measures: completing both a comprehensive sleep history and an objective sleep assessment. The third outcome was to reduce adverse events through three steps: ensuring treatment follow-up, documenting medical comorbidities, and documenting safety measures counseling. All narcolepsy measures described in this report were developed by the Narcolepsy Quality Measures Work-group 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 narcolepsy. Citation: Krahn LE, Hershner S, Loeding LD, Maski KP, Rifkin DI, Selim B, Watson NF. Quality measures for the care of patients with narcolepsy. J Clin Sleep Med 2015;11(3):335–355. PMID:25700880

Methods for collecting algal samples as part of the National Water-Quality Assessment Program

USGS Publications Warehouse

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.

From Theory to Practice: Measuring end-of-life communication quality using multiple goals theory.

PubMed

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.

Chief Complaint-Based Performance Measures: A New Focus For Acute Care Quality Measurement

PubMed Central

Griffey, Richard T; Pines, Jesse M.; Farley, Heather L.; Phelan, Michael P; Beach, Christopher; Schuur, Jeremiah D; Venkatesh, Arjun K.

2014-01-01

Performance measures are increasingly important to guide meaningful quality improvement efforts and value-based reimbursement. Populations included in most current hospital performance measures are defined by recorded diagnoses using International Disease Classification (ICD)-9 codes in administrative claims data. While the diagnosis-centric approach allows the assessment of disease-specific quality, it fails to measure one of the primary functions of emergency department (ED) care which involves diagnosing, risk-stratifying, and treating patients’ potentially life-threatening conditions based on symptoms (i.e. chief complaints). In this paper we propose chief complaint-based quality measures as a means to enhance the evaluation of quality and value in emergency care. We discuss the potential benefits of chief-complaint based measures, describe opportunities to mitigate challenges, propose an example measure set, and present several recommendations to advance this paradigm in ED-based performance measurement. PMID:25443989

Assessing data quality and the variability of source data verification auditing methods in clinical research settings.

PubMed

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.

Nurse Reported Quality of Care: A Measure of Hospital Quality

PubMed Central

McHugh, Matthew D.; Stimpfel, Amy Witkoski

2013-01-01

As the primary providers of round-the-clock bedside care, nurses are well positioned to report on hospital quality of care. Researchers have not examined how nurses’ reports of quality correspond with standard process or outcomes measures of quality. We assess the validity of evaluating hospital quality by aggregating hospital nurses’ responses to a single item that asks them to report on quality of care. We found that a 10% increment in the proportion of nurses reporting excellent quality of care was associated with lower odds of mortality and failure to rescue; greater patient satisfaction; and higher composite process of care scores for acute myocardial infarction, pneumonia, and surgical patients. Nurse reported quality of care is a useful indicator of hospital performance. PMID:22911102

Quality Measures in Stroke

PubMed Central

Poisson, Sharon N.; Josephson, S. Andrew

2011-01-01

Stroke is a major public health burden, and accounts for many hospitalizations each year. Due to gaps in practice and recommended guidelines, there has been a recent push toward implementing quality measures to be used for improving patient care, comparing institutions, as well as for rewarding or penalizing physicians through pay-for-performance. This article reviews the major organizations involved in implementing quality metrics for stroke, and the 10 major metrics currently being tracked. We also discuss possible future metrics and the implications of public reporting and using metrics for pay-for-performance. PMID:23983840

Measuring up: Implementing a dental quality measure in the electronic health record context.

PubMed

Bhardwaj, Aarti; Ramoni, Rachel; Kalenderian, Elsbeth; Neumann, Ana; Hebballi, Nutan B; White, Joel M; McClellan, Lyle; Walji, Muhammad F

2016-01-01

Quality improvement requires using quality measures that can be implemented in a valid manner. Using guidelines set forth by the Meaningful Use portion of the Health Information Technology for Economic and Clinical Health Act, the authors assessed the feasibility and performance of an automated electronic Meaningful Use dental clinical quality measure to determine the percentage of children who received fluoride varnish. The authors defined how to implement the automated measure queries in a dental electronic health record. Within records identified through automated query, the authors manually reviewed a subsample to assess the performance of the query. The automated query results revealed that 71.0% of patients had fluoride varnish compared with the manual chart review results that indicated 77.6% of patients had fluoride varnish. The automated quality measure performance results indicated 90.5% sensitivity, 90.8% specificity, 96.9% positive predictive value, and 75.2% negative predictive value. The authors' findings support the feasibility of using automated dental quality measure queries in the context of sufficient structured data. Information noted only in free text rather than in structured data would require using natural language processing approaches to effectively query electronic health records. To participate in self-directed quality improvement, dental clinicians must embrace the accountability era. Commitment to quality will require enhanced documentation to support near-term automated calculation of quality measures. Copyright © 2016 American Dental Association. Published by Elsevier Inc. All rights reserved.

Urban air quality measurements using a sensor-based system

NASA Astrophysics Data System (ADS)

Ródenas, Mila; Hernández, Daniel; Gómez, Tatiana; López, Ramón; Muñoz, Amalia

2017-04-01

Air pollution levels in urban areas have increased the interest, not only of the scientific community but also of the general public, and both at the regional and at the European level. This interest has run in parallel to the development of miniaturized sensors, which only since very recently are suitable for air quality measurements. Certainly, their small size and price allows them to be used as a network of sensors capable of providing high temporal and spatial frequency measurements to characterize an area or city and with increasing potential, under certain considerations, as a complement of conventional methods. Within the frame of the LIFE PHOTOCITYTEX project (use of photocatalytic textiles to help reducing air pollution), CEAM has developed a system to measure gaseous compounds of importance for urban air quality characterization. This system, which allows an autonomous power supply, uses commercial NO, NO2, O3 and CO2 small sensors and incorporates measurements of temperature and humidity. A first version, using XBee boards (Radiofrequency) for communications has been installed in the urban locations defined by the project (tunnel and school), permitting the long-term air quality characterization of sites in the presence of the textiles. An improved second version of the system which also comprises a sensor for measuring particles and which uses GPRS for communications, has been developed and successfully installed in the city center of Valencia. Data are sent to a central server where they can be accessed by citizens in nearly real time and online and, in general, they can be utilized in the air quality characterization, for decision-making related to decontamination (traffic regulation, photocatalytic materials, etc.), in air quality models or in mobile applications of interest for the citizens. Within this work, temporal trends obtained with this system in different urban locations will be shown, discussing the impact of the characteristics of the

Diabetes and Hypertension Quality Measurement in Four Safety-Net Sites

PubMed Central

Benkert, R.; Dennehy, P.; White, J.; Hamilton, A.; Tanner, C.

2014-01-01

Summary Background In this new era after the Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009, the literature on lessons learned with electronic health record (EHR) implementation needs to be revisited. Objectives Our objective was to describe what implementation of a commercially available EHR with built-in quality query algorithms showed us about our care for diabetes and hypertension populations in four safety net clinics, specifically feasibility of data retrieval, measurements over time, quality of data, and how our teams used this data. Methods A cross-sectional study was conducted from October 2008 to October 2012 in four safety-net clinics located in the Midwest and Western United States. A data warehouse that stores data from across the U.S was utilized for data extraction from patients with diabetes or hypertension diagnoses and at least two office visits per year. Standard quality measures were collected over a period of two to four years. All sites were engaged in a partnership model with the IT staff and a shared learning process to enhance the use of the quality metrics. Results While use of the algorithms was feasible across sites, challenges occurred when attempting to use the query results for research purposes. There was wide variation of both process and outcome results by individual centers. Composite calculations balanced out the differences seen in the individual measures. Despite using consistent quality definitions, the differences across centers had an impact on numerators and denominators. All sites agreed to a partnership model of EHR implementation, and each center utilized the available resources of the partnership for Center-specific quality initiatives. Conclusions Utilizing a shared EHR, a Regional Extension Center-like partnership model, and similar quality query algorithms allowed safety-net clinics to benchmark and improve the quality of care across differing patient populations and health care

Quality of implementation: developing measures crucial to understanding the diffusion of preventive interventions.

PubMed

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.

A Comprehensive Method for GNSS Data Quality Determination to Improve Ionospheric Data Analysis

PubMed Central

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

Measuring the quality of infection control in Dutch nursing homes using a standardized method; the Infection prevention RIsk Scan (IRIS)

PubMed Central

2014-01-01

Background We developed a standardised method to assess the quality of infection control in Dutch Nursing Home (NH), based on a cross-sectional survey that visualises the results. The method was called the Infection control RIsk Infection Scan (IRIS). We tested the applicability of this new tool in a multicentre surveillance executed June and July 2012. Methods The IRIS includes two patient outcome-variables, i.e. the prevalence of healthcare associated infections (HAI) and rectal carriage of Extended-Spectrum Beta-Lactamase (ESBL) producing Enterobacteriaceae (ESBL-E); two patient-related risk factors, i.e. use of medical devices, and antimicrobial therapy; and three ward-related risk factors, i.e. environmental contamination, availability of local guidelines, and shortcomings in infection prevention preconditions. Results were categorised as low-, intermediate- and high risk, presented in an easy-to-read graphic risk spider-plot. This plot was given as feedback to management and healthcare workers of the NH. Results Large differences were found among most the variables in the different NH. Common shortcomings were the availability of infection control guidelines and the level of environmental cleaning. Most striking differences were observed in the prevalence of ESBL carriage, ranged from zero to 20.6% (p < 0.001). Conclusions The IRIS provided a rapid and easy to understand assessment of the infection control situation of the participating NH. The results can be used to improve the quality of infection control based on the specific needs of a NH but needs further validation in future studies. Repeated measurement can determine the effectiveness of the interventions. This makes the IRIS a useful tool for quality systems. PMID:25243067

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.

Evaluation of air quality zone classification methods based on ambient air concentration exposure.

PubMed

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

Issues in Measuring and Improving Health Care Quality

PubMed Central

Friedman, Maria A.

1995-01-01

This issue of the Health Care Financing Review focuses on issues and advances in measuring and improving the quality of care, particularly for Medicare and Medicaid beneficiaries. Discussions of quality-related topics are especially timely, given the growing and widespread interest in improving quality in the organization, financing, and delivery of health care services. This article has several purposes. The first is to provide a brief description of some of the causes underlying the growth of the health care quality movement; the second is to provide a contextual framework for discussion of some of the overarching themes that emerge in this issue. These themes include examining conceptual issues, developing quality measures for specific sites and populations, and creating or adapting data sets for quality-measurement purposes. PMID:10151882

Implementation of Quality Assurance and Quality Control Measures in the National Phenology Database

NASA Astrophysics Data System (ADS)

Gerst, K.; Rosemartin, A.; Denny, E. G.; Marsh, L.; Barnett, L.

2015-12-01

The USA National Phenology Network (USA-NPN; www.usanpn.org) serves science and society by promoting a broad understanding of plant and animal phenology and the relationships among phenological patterns and environmental change. The National Phenology Database has over 5.5 million observation records for plants and animals for the period 1954-2015. These data have been used in a number of science, conservation and resource management applications, including national assessments of historical and potential future trends in phenology, regional assessments of spatio-temporal variation in organismal activity, and local monitoring for invasive species detection. Customizable data downloads are freely available, and data are accompanied by FGDC-compliant metadata, data-use and data-attribution policies, and vetted documented methodologies and protocols. The USA-NPN has implemented a number of measures to ensure both quality assurance and quality control. Here we describe the resources that have been developed so that incoming data submitted by both citizen and professional scientists are reliable; these include training materials, such as a botanical primer and species profiles. We also describe a number of automated quality control processes applied to incoming data streams to optimize data output quality. Existing and planned quality control measures for output of raw and derived data include: (1) Validation of site locations, including latitude, longitude, and elevation; (2) Flagging of records that conflict for a given date for an individual plant; (3) Flagging where species occur outside known ranges; (4) Flagging of records when phenophases occur outside of the plausible order for a species; (5) Flagging of records when intensity measures do not follow a plausible progression for a phenophase; (6) Flagging of records when a phenophase occurs outside of the plausible season, and (7) Quantification of precision and uncertainty for estimation of phenological metrics

Large radius of curvature measurement based on the evaluation of interferogram-quality metric in non-null interferometry

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%.

Dental Quality Measurement--A Practitioner Perspective.

PubMed

Amundson, Craig W

2016-04-01

This article reviews the HealthPartners Dental Group's experience with clinical quality measurement and provides information on the administrative infrastructure that supports measurement within the group. Some examples of the role measurement plays in operations and clinical practice are also reviewed.

Development and validation of the Pediatric Stroke Quality of Life Measure.

PubMed

Fiume, Andrea; Deveber, Gabrielle; Jang, Shu-Hyun; Fuller, Colleen; Viner, Shani; Friefeld, Sharon

2018-06-01

To develop and validate a disease-specific parent proxy and child quality of life (QoL) measure for patients aged 2 to 18 years surviving cerebral sinovenous thrombosis (CSVT) and arterial ischaemic stroke (AIS). Utilizing qualitative and quantitative methods, we developed a 75-item Pediatric Stroke Quality of Life Measure (PSQLM) questionnaire. We mailed the PSQLM and a standardized generic QoL measure, Pediatric Quality of Life Inventory (PedsQL), to 353 families. Stroke type, age at stroke, and neurological outcome on the Pediatric Stroke Outcome Measure were documented. We calculated the internal consistency, validity, and reliability of the PSQLM. The response rate was 29%, yielding a sample of 101 patients (mean age 9y 9mo [SD 4.30]; 69 AIS [68.3%], 32 CSVT [31.7%]). The internal consistency of the PSQLM was high (Cronbach's α=0.94-0.97). Construct validity for the PSQLM was moderately strong (r=0.3-0.4; p<0.003) and, as expected, correlation with the PedsQL was moderate, suggesting the PSQLM operationalizes QoL distinct from the PedsQL. Test-retest reliability at 2 weeks was very good (intraclass correlation coefficient [ICC] 0.85-0.95; 95% confidence interval 0.83-0.97) and good agreement was established between parent and child report (ICC 0.63-0.76). The PSQLM demonstrates sound psychometric properties. Further research will seek to increase its clinical utility by reducing length and establishing responsiveness for descriptive and longitudinal evaluative assessment. A pediatric stroke-specific quality of life (QoL) measurement tool for assessments based on perceptions of importance and satisfaction. Moderate-to-high reliability and validity established for a new clinical scale evaluating QoL among children with stroke. Perceived QoL measured using the Pediatric Stroke Quality of Life Measure appears lower in children with neurological impairment. © 2018 Mac Keith Press.

APPLICATION OF DATA QUALITY OBJECTIVES AND MEASUREMENT QUALITY OBJECTIVES TO RESEARCH PROJECTS

EPA Science Inventory

The paper assists systematic planning for research projects. It presents planning concepts in terms that have some utility for researchers. For example, measurement quality objectives are more familiar to researchers than data quality objectives because these quality criteria are...

Quality measures for the diagnosis and non-operative management of carpal tunnel syndrome in occupational settings.

PubMed

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.

Effects of phone versus mail survey methods on the measurement of health-related quality of life and emotional and behavioural problems in adolescents.

PubMed

Erhart, Michael; Wetzel, Ralf M; Krügel, André; Ravens-Sieberer, Ulrike

2009-12-30

Telephone interviews have become established as an alternative to traditional mail surveys for collecting epidemiological data in public health research. However, the use of telephone and mail surveys raises the question of to what extent the results of different data collection methods deviate from one another. We therefore set out to study possible differences in using telephone and mail survey methods to measure health-related quality of life and emotional and behavioural problems in children and adolescents. A total of 1700 German children aged 8-18 years and their parents were interviewed randomly either by telephone or by mail. Health-related Quality of Life (HRQoL) and mental health problems (MHP) were assessed using the KINDL-R Quality of Life instrument and the Strengths and Difficulties Questionnaire (SDQ) children's self-report and parent proxy report versions. Mean Differences ("d" effect size) and differences in Cronbach alpha were examined across modes of administration. Pearson correlation between children's and parents' scores was calculated within a multi-trait-multi-method (MTMM) analysis and compared across survey modes using Fisher-Z transformation. Telephone and mail survey methods resulted in similar completion rates and similar socio-demographic and socio-economic makeups of the samples. Telephone methods resulted in more positive self- and parent proxy reports of children's HRQoL (SMD < or = 0.27) and MHP (SMD < or = 0.32) on many scales. For the phone administered KINDL, lower Cronbach alpha values (self/proxy Total: 0.79/0.84) were observed (mail survey self/proxy Total: 0.84/0.87). KINDL MTMM results were weaker for the phone surveys: mono-trait-multi-method mean r = 0.31 (mail: r = 0.45); multi-trait-mono-method mean (self/parents) r = 0.29/0.36 (mail: r = 0.34/0.40); multi-trait-multi-method mean r = 0.14 (mail: r = 0.21). Weaker MTMM results were also observed for the phone administered SDQ: mono-trait-multi-method mean r = 0.32 (mail

Quality measurement for rhinosinusitis: a review from the Quality Improvement Committee of the American Rhinologic Society.

PubMed

Rudmik, Luke; Mattos, Jose; Schneider, John; Manes, Peter R; Stokken, Janalee K; Lee, Jivianne; Higgins, Thomas S; Schlosser, Rodney J; Reh, Douglas D; Setzen, Michael; Soler, Zachary M

2017-09-01

Measuring quality outcomes is an important prerequisite to improve quality of care. Rhinosinusitis represents a high value target to improve quality of care because it has a high prevalence of disease, large economic burden, and large practice variation. In this study we review the current state of quality measurement for management of both acute (ARS) and chronic rhinosinusitis (CRS). The major national quality metric repositories and clearinghouses were queried. Additional searches included the American Academy of Otolaryngology-Head and Neck Surgery database, PubMed, and Google to attempt to capture any additional quality metrics. Seven quality metrics for ARS and 4 quality metrics for CRS were identified. ARS metrics focused on appropriateness of diagnosis (n = 1), antibiotic prescribing (n = 4), and radiologic imaging (n = 2). CRS quality metrics focused on appropriateness of diagnosis (n = 1), radiologic imaging (n = 1), and measurement of patient quality of life (n = 2). The Physician Quality Reporting System (PQRS) currently tracks 3 ARS quality metrics and 1 CRS quality metric. There are no outcome-based rhinosinusitis quality metrics and no metrics that assess domains of safety, patient-centeredness, and timeliness of care. The current status of quality measurement for rhinosinusitis has focused primarily on the quality domain of efficiency and process measures for ARS. More work is needed to develop, validate, and track outcome-based quality metrics along with CRS-specific metrics. Although there has been excellent work done to improve quality measurement for rhinosinusitis, there remain major gaps and challenges that need to be considered during the development of future metrics. © 2017 ARS-AAOA, LLC.

Measurement properties of asthma-specific quality-of-life measures: protocol for a systematic review.

PubMed

Apfelbacher, Christian; Paudyal, Priya; Bülbül, Alpaslan; Smith, Helen

2014-07-24

Asthma is a frequent chronic inflammatory disease of the airways, and the assessment of health-related quality of life (HrQoL) is important in both research and routine care. Various asthma-specific measures of HrQoL exist but there is uncertainty which measures are best suited for use in research and routine care. Therefore, the aim of the proposed research is a comprehensive systematic assessment of the measurement properties of the existing measures that were developed to measure asthma-specific quality of life. This study is a systematic review of the measurement properties of asthma-specific measures of health-related quality of life. PubMed and Embase will be searched using a selection of relevant search terms. Eligible studies will be primary empirical studies evaluating, describing or comparing measurement properties of asthma-specific HRQL tools. Eligibility assessment and data abstraction will be performed independently by two reviewers. Evidence tables will be generated for study characteristics, instrument characteristics, measurement properties and interpretability. The quality of the measurement properties will be assessed using predefined criteria. Methodological quality of studies will be assessed using the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) checklist. A best evidence synthesis will be undertaken if more than one study have investigated a particular measurement property. The proposed systematic review will produce a comprehensive assessment of measurement properties of existing measures of asthma-specific health-related quality of life. We also aim to derive recommendations in order to help researchers and practitioners alike in the choice of instrument. PROSPERO registration number: CRD42014010491.

Commentary: measuring quality of care in osteoporosis.

PubMed

Silverman, Stuart L; Curtis, Jeffrey

2013-12-01

We know improving the quality of care in osteoporosis is an important goal. We have made some strides toward measuring quality of osteoporosis care, focusing on process measures regarding care that is provided. Unfortunately, improving care as measured by these process measures does not always yield improved outcomes. We need to hold health care providers and health care systems responsible not only for health care production but for production of health and well-being. However, there is a multiplicity of factors that will need to be considered to make this next step.

[Comparative quality measurements part 3: funnel plots].

PubMed

Kottner, Jan; Lahmann, Nils

2014-02-01

Comparative quality measurements between organisations or institutions are common. Quality measures need to be standardised and risk adjusted. Random error must also be taken adequately into account. Rankings without consideration of the precision lead to flawed interpretations and enhances "gaming". Application of confidence intervals is one possibility to take chance variation into account. Funnel plots are modified control charts based on Statistical Process Control (SPC) theory. The quality measures are plotted against their sample size. Warning and control limits that are 2 or 3 standard deviations from the center line are added. With increasing group size the precision increases and so the control limits are forming a funnel. Data points within the control limits are considered to show common cause variation; data points outside special cause variation without the focus of spurious rankings. Funnel plots offer data based information about how to evaluate institutional performance within quality management contexts.

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,…

Quality of vision in refractive and cataract surgery, indirect measurers: review article.

PubMed

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.

Quality improvement in neurology: dementia management quality measures.

PubMed

Odenheimer, Germaine; Borson, Soo; Sanders, Amy E; Swain-Eng, Rebecca J; Kyomen, Helen H; Tierney, Samantha; Gitlin, Laura; Forciea, Mary Ann; Absher, John; Shega, Joseph; Johnson, Jerry

2014-03-01

Professional and advocacy organizations have long urged that dementia should be recognized and properly diagnosed. With the passage of the National Alzheimer's Project Act in 2011, an Advisory Council for Alzheimer's Research, Care, and Services was convened to advise the Department of Health and Human Services. In May 2012, the Council produced the first National Plan to address Alzheimer's disease, and prominent in its recommendations is a call for quality measures suitable for evaluating and tracking dementia care in clinical settings. Although other efforts have been made to set dementia care quality standards, such as those pioneered by RAND in its series Assessing Care of Vulnerable Elders (ACOVE), practitioners, healthcare systems, and insurers have not widely embraced implementation. This executive summary (full manuscript available at www.neurology.org) reports on a new measurement set for dementia management developed by an interdisciplinary Dementia Measures Work Group (DWG) representing the major national organizations and advocacy organizations concerned with the care of individuals with dementia. The American Academy of Neurology (AAN), the American Geriatrics Society, the American Medical Directors Association, the American Psychiatric Association, and the American Medical Association-convened Physician Consortium for Performance Improvement led this effort. The ACOVE measures and the measurement set described here apply to individuals whose dementia has already been identified and properly diagnosed. Although similar in concept to ACOVE, the DWG measurement set differs in several important ways; it includes all stages of dementia in a single measure set, calls for the use of functional staging in planning care, prompts the use of validated instruments in patient and caregiver assessment and intervention, highlights the relevance of using palliative care concepts to guide care before the advanced stages of illness, and provides evidence-based support

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.

Measuring the Mathematical Quality of Instruction

ERIC Educational Resources Information Center

Journal of Mathematics Teacher Education, 2011

2011-01-01

In this article, we describe a framework and instrument for measuring the mathematical quality of mathematics instruction. In describing this framework, we argue for the separation of the "mathematical quality of instruction" (MQI), such as the absence of mathematical errors and the presence of sound mathematical reasoning, from pedagogical…

Measuring coherence of computer-assisted likelihood ratio methods.

PubMed

Haraksim, Rudolf; Ramos, Daniel; Meuwly, Didier; Berger, Charles E H

2015-04-01

Measuring the performance of forensic evaluation methods that compute likelihood ratios (LRs) is relevant for both the development and the validation of such methods. A framework of performance characteristics categorized as primary and secondary is introduced in this study to help achieve such development and validation. Ground-truth labelled fingerprint data is used to assess the performance of an example likelihood ratio method in terms of those performance characteristics. Discrimination, calibration, and especially the coherence of this LR method are assessed as a function of the quantity and quality of the trace fingerprint specimen. Assessment of the coherence revealed a weakness of the comparison algorithm in the computer-assisted likelihood ratio method used. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

A method to estimate spatiotemporal air quality in an urban traffic corridor.

PubMed

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.

Comparing two survey methods of measuring health-related indicators: Lot Quality Assurance Sampling and Demographic Health Surveys.

PubMed

Anoke, Sarah C; Mwai, Paul; Jeffery, Caroline; Valadez, Joseph J; Pagano, Marcello

2015-12-01

Two common methods used to measure indicators for health programme monitoring and evaluation are the demographic and health surveys (DHS) and lot quality assurance sampling (LQAS); each one has different strengths. We report on both methods when utilised in comparable situations. We compared 24 indicators in south-west Uganda, where data for prevalence estimations were collected independently for the two methods in 2011 (LQAS: n = 8876; DHS: n = 1200). Data were stratified (e.g. gender and age) resulting in 37 comparisons. We used a two-sample two-sided Z-test of proportions to compare both methods. The average difference between LQAS and DHS for 37 estimates was 0.062 (SD = 0.093; median = 0.039). The average difference among the 21 failures to reject equality of proportions was 0.010 (SD = 0.041; median = 0.009); among the 16 rejections, it was 0.130 (SD = 0.010, median = 0.118). Seven of the 16 rejections exhibited absolute differences of <0.10, which are clinically (or managerially) not significant; 5 had differences >0.10 and <0.20 (mean = 0.137, SD = 0.031) and four differences were >0.20 (mean = 0.261, SD = 0.083). There is 75.7% agreement across the two surveys. Both methods yield regional results, but only LQAS provides information at less granular levels (e.g. the district level) where managerial action is taken. The cost advantage and localisation make LQAS feasible to conduct more frequently, and provides the possibility for real-time health outcomes monitoring. © 2015 The Authors. Tropical Medicine & International Health Published by John Wiley & Sons Ltd.

HIV quality report cards: impact of case-mix adjustment and statistical methods.

PubMed

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.

Using collective expert judgements to evaluate quality measures of mass spectrometry images.

PubMed

Palmer, Andrew; Ovchinnikova, Ekaterina; Thuné, Mikael; Lavigne, Régis; Guével, Blandine; Dyatlov, Andrey; Vitek, Olga; Pineau, Charles; Borén, Mats; Alexandrov, Theodore

2015-06-15

Imaging mass spectrometry (IMS) is a maturating technique of molecular imaging. Confidence in the reproducible quality of IMS data is essential for its integration into routine use. However, the predominant method for assessing quality is visual examination, a time consuming, unstandardized and non-scalable approach. So far, the problem of assessing the quality has only been marginally addressed and existing measures do not account for the spatial information of IMS data. Importantly, no approach exists for unbiased evaluation of potential quality measures. We propose a novel approach for evaluating potential measures by creating a gold-standard set using collective expert judgements upon which we evaluated image-based measures. To produce a gold standard, we engaged 80 IMS experts, each to rate the relative quality between 52 pairs of ion images from MALDI-TOF IMS datasets of rat brain coronal sections. Experts' optional feedback on their expertise, the task and the survey showed that (i) they had diverse backgrounds and sufficient expertise, (ii) the task was properly understood, and (iii) the survey was comprehensible. A moderate inter-rater agreement was achieved with Krippendorff's alpha of 0.5. A gold-standard set of 634 pairs of images with accompanying ratings was constructed and showed a high agreement of 0.85. Eight families of potential measures with a range of parameters and statistical descriptors, giving 143 in total, were evaluated. Both signal-to-noise and spatial chaos-based measures performed highly with a correlation of 0.7 to 0.9 with the gold standard ratings. Moreover, we showed that a composite measure with the linear coefficients (trained on the gold standard with regularized least squares optimization and lasso) showed a strong linear correlation of 0.94 and an accuracy of 0.98 in predicting which image in a pair was of higher quality. The anonymized data collected from the survey and the Matlab source code for data processing can be found

Using collective expert judgements to evaluate quality measures of mass spectrometry images

PubMed Central

Palmer, Andrew; Ovchinnikova, Ekaterina; Thuné, Mikael; Lavigne, Régis; Guével, Blandine; Dyatlov, Andrey; Vitek, Olga; Pineau, Charles; Borén, Mats; Alexandrov, Theodore

2015-01-01

Motivation: Imaging mass spectrometry (IMS) is a maturating technique of molecular imaging. Confidence in the reproducible quality of IMS data is essential for its integration into routine use. However, the predominant method for assessing quality is visual examination, a time consuming, unstandardized and non-scalable approach. So far, the problem of assessing the quality has only been marginally addressed and existing measures do not account for the spatial information of IMS data. Importantly, no approach exists for unbiased evaluation of potential quality measures. Results: We propose a novel approach for evaluating potential measures by creating a gold-standard set using collective expert judgements upon which we evaluated image-based measures. To produce a gold standard, we engaged 80 IMS experts, each to rate the relative quality between 52 pairs of ion images from MALDI-TOF IMS datasets of rat brain coronal sections. Experts’ optional feedback on their expertise, the task and the survey showed that (i) they had diverse backgrounds and sufficient expertise, (ii) the task was properly understood, and (iii) the survey was comprehensible. A moderate inter-rater agreement was achieved with Krippendorff’s alpha of 0.5. A gold-standard set of 634 pairs of images with accompanying ratings was constructed and showed a high agreement of 0.85. Eight families of potential measures with a range of parameters and statistical descriptors, giving 143 in total, were evaluated. Both signal-to-noise and spatial chaos-based measures performed highly with a correlation of 0.7 to 0.9 with the gold standard ratings. Moreover, we showed that a composite measure with the linear coefficients (trained on the gold standard with regularized least squares optimization and lasso) showed a strong linear correlation of 0.94 and an accuracy of 0.98 in predicting which image in a pair was of higher quality. Availability and implementation: The anonymized data collected from the survey

A novel client service quality measuring model and an eHealthcare mitigating approach.

PubMed

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.

Quality Measurement in Early Childhood Settings

ERIC Educational Resources Information Center

Zaslow, Martha, Ed.; Martinez-Beck, Ivelisse, Ed.; Tout, Kathryn, Ed.; Halle, Tamara, Ed.

2011-01-01

What constitutes quality in early childhood settings, and how can it best be measured with today's widely used tools and promising new approaches? Find authoritative answers in this book, a must-have for high-level administrators and policymakers as more and more states adopt early childhood Quality Rating and Improvement Systems. The most…

Methods for measuring denitrification: Diverse approaches to a difficult problem

USGS Publications Warehouse

Groffman, Peter M; Altabet, Mary A.; Böhlke, J.K.; Butterbach-Bahl, Klaus; David, Mary B.; Firestone, Mary K.; Giblin, Anne E.; Kana, Todd M.; Nielsen , Lars Peter; Voytek, Mary A.

2006-01-01

Denitrification, the reduction of the nitrogen (N) oxides, nitrate (NO3−) and nitrite (NO2−), to the gases nitric oxide (NO), nitrous oxide (N2O), and dinitrogen (N2), is important to primary production, water quality, and the chemistry and physics of the atmosphere at ecosystem, landscape, regional, and global scales. Unfortunately, this process is very difficult to measure, and existing methods are problematic for different reasons in different places at different times. In this paper, we review the major approaches that have been taken to measure denitrification in terrestrial and aquatic environments and discuss the strengths, weaknesses, and future prospects for the different methods. Methodological approaches covered include (1) acetylene-based methods, (2) 15N tracers, (3) direct N2 quantification, (4) N2:Ar ratio quantification, (5) mass balance approaches, (6) stoichiometric approaches, (7) methods based on stable isotopes, (8) in situ gradients with atmospheric environmental tracers, and (9) molecular approaches. Our review makes it clear that the prospects for improved quantification of denitrification vary greatly in different environments and at different scales. While current methodology allows for the production of accurate estimates of denitrification at scales relevant to water and air quality and ecosystem fertility questions in some systems (e.g., aquatic sediments, well-defined aquifers), methodology for other systems, especially upland terrestrial areas, still needs development. Comparison of mass balance and stoichiometric approaches that constrain estimates of denitrification at large scales with point measurements (made using multiple methods), in multiple systems, is likely to propel more improvement in denitrification methods over the next few years.

[Designing and implementation of a web-based quality monitoring system for plasma glucose measurement in multicenter population study].

PubMed

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.

Evaluating Service Quality from Patients' Perceptions: Application of Importance-performance Analysis Method.

PubMed

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.

Resolution-Enhanced Harmonic and Interharmonic Measurement for Power Quality Analysis in Cyber-Physical Energy System.

PubMed

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.

Resolution-Enhanced Harmonic and Interharmonic Measurement for Power Quality Analysis in Cyber-Physical Energy System

PubMed Central

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

Clinical implementation of photon beam flatness measurements to verify beam quality.

PubMed

Goodall, Simon; Harding, Nicholas; Simpson, Jake; Alexander, Louise; Morgan, Steve

2015-11-08

This work describes the replacement of Tissue Phantom Ratio (TPR) measurements with beam profile flatness measurements to determine photon beam quality during routine quality assurance (QA) measurements. To achieve this, a relationship was derived between the existing TPR15/5 energy metric and beam flatness, to provide baseline values and clinically relevant tolerances. The beam quality was varied around two nominal beam energy values for four matched Elekta linear accelerators (linacs) by varying the bending magnet currents and reoptimizing the beam. For each adjusted beam quality the TPR15/5 was measured using an ionization chamber and Solid Water phantom. Two metrics of beam flatness were evaluated using two identical commercial ionization chamber arrays. A linear relationship was found between TPR15/5 and both metrics of flatness, for both nominal energies and on all linacs. Baseline diagonal flatness (FDN) values were measured to be 103.0% (ranging from 102.5% to 103.8%) for 6 MV and 102.7% (ranging from 102.6% to 102.8%) for 10 MV across all four linacs. Clinically acceptable tolerances of ± 2% for 6 MV, and ± 3% for 10 MV, were derived to equate to the current TPR15/5 clinical tolerance of ± 0.5%. Small variations in the baseline diagonal flatness values were observed between ionization chamber arrays; however, the rate of change of TPR15/5 with diagonal flatness was found to remain within experimental uncertainty. Measurements of beam flatness were shown to display an increased sensitivity to variations in the beam quality when compared to TPR measurements. This effect is amplified for higher nominal energy photons. The derivation of clinical baselines and associated tolerances has allowed this method to be incorporated into routine QA, streamlining the process whilst also increasing versatility. In addition, the effect of beam adjustment can be observed in real time, allowing increased practicality during corrective and preventive maintenance

Introduction to Field Water-Quality Methods for the Collection of Metals - 2007 Project Summary

USGS Publications Warehouse

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

Information quality measurement of medical encoding support based on usability.

PubMed

Puentes, John; Montagner, Julien; Lecornu, Laurent; Cauvin, Jean-Michel

2013-12-01

Medical encoding support systems for diagnoses and medical procedures are an emerging technology that begins to play a key role in billing, reimbursement, and health policies decisions. A significant problem to exploit these systems is how to measure the appropriateness of any automatically generated list of codes, in terms of fitness for use, i.e. their quality. Until now, only information retrieval performance measurements have been applied to estimate the accuracy of codes lists as quality indicator. Such measurements do not give the value of codes lists for practical medical encoding, and cannot be used to globally compare the quality of multiple codes lists. This paper defines and validates a new encoding information quality measure that addresses the problem of measuring medical codes lists quality. It is based on a usability study of how expert coders and physicians apply computer-assisted medical encoding. The proposed measure, named ADN, evaluates codes Accuracy, Dispersion and Noise, and is adapted to the variable length and content of generated codes lists, coping with limitations of previous measures. According to the ADN measure, the information quality of a codes list is fully represented by a single point, within a suitably constrained feature space. Using one scheme, our approach is reliable to measure and compare the information quality of hundreds of codes lists, showing their practical value for medical encoding. Its pertinence is demonstrated by simulation and application to real data corresponding to 502 inpatient stays in four clinic departments. Results are compared to the consensus of three expert coders who also coded this anonymized database of discharge summaries, and to five information retrieval measures. Information quality assessment applying the ADN measure showed the degree of encoding-support system variability from one clinic department to another, providing a global evaluation of quality measurement trends. Copyright © 2013

‘Just give me the best quality of life questionnaire’: the Karnofsky scale and the history of quality of life measurements in cancer trials

PubMed Central

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

Advancing the use of community pharmacy quality measures: a qualitative study.

PubMed

Shiyanbola, Olayinka O; Mort, Jane R; Lyons, Kayley

2013-01-01

To describe consumers' ability to interpret pharmacy quality measures data presented in a report card, to examine the tools that consumers require to interpret the information available in a pharmacy quality report card, and to determine whether pharmacy quality measures influence consumers' choice of a pharmacy. Qualitative study. Three semistructured focus groups conducted in a private meeting space at a public library in Sioux Falls, SD, from April 2011 to May 2011. 29 laypeople. Participants' skills interpreting and using pharmacy quality information were examined based on mock report cards containing the Pharmacy Quality Alliance (PQA) quality measures. Consumer perceptions of pharmacy quality data. Participants reported difficulty understanding quality measures because of knowledge deficits. They wanted supportive resources on drug class of their medications to help them understand the measures. Participants had different opinions on whether their pharmacies should be compared with other pharmacies based on specific quality measures. For example, they favored the use of drug-drug interactions as a quality measure for comparing pharmacies, while medication adherence was deemed of limited use for comparison. Participants stated that pharmacy report cards would be useful information but would not prompt a change in pharmacy. However, participants perceived that this information would be useful in selecting a new pharmacy. The results suggest that consumers require simplification of PQA quality measures and supportive resources to interpret the measures. Consumers may favor certain quality measures based on their perception of the role of the pharmacist. Education is required before full use of this quality-of-care information can be realized.

Transfer of knowledge from sound quality measurement to noise impact evaluation

NASA Astrophysics Data System (ADS)

Genuit, Klaus

2004-05-01

It is well known that the measurement and analysis of sound quality requires a complex procedure with consideration of the physical, psychoacoustical and psychological aspects of sound. Sound quality cannot be described only by a simple value based on A-weighted sound pressure level measurements. The A-weighted sound pressure level is sufficient to predict the probabilty that the human ear could be damaged by sound but the A-weighted level is not the correct descriptor for the annoyance of a complex sound situation given by several different sound events at different and especially moving positions (soundscape). On the one side, the consideration of the spectral distribution and the temporal pattern (psychoacoustics) is requested and, on the other side, the subjective attitude with respect to the sound situation, the expectation and experience of the people (psychology) have to be included in context with the complete noise impact evaluation. This paper describes applications of the newest methods of sound quality measurements-as it is well introduced at the car manufacturers-based on artifical head recordings and signal processing comparable to the human hearing used in noisy environments like community/traffic noise.

A method of rapidly evaluating image quality of NED optical system

NASA Astrophysics Data System (ADS)

Sun, Qi; Qiu, Chuankai; Yang, Huan

2014-11-01

In recent years, with the development of technology of micro-display, advanced optics and the software and hardware, near-to-eye display ( NED) optical system will have a wide range of potential applications in the fields of amusement and virtual reality. However, research on the evaluating image quality of this kind optical system is comparatively lagging behind. Although now there are some methods and equipment for evaluation, they can't be applied in commercial production because of their complex operation and inaccuracy. In this paper, an academic method is proposed and a Rapid Evaluation System (RES) is designed to evaluate the image of optical system rapidly and exactly. Firstly, a set of parameters that eyes are sensitive to and also express the quality of system should be extracted and quantized to be criterion, so the evaluation standards can be established. Then, some parameters can be detected by RES consisted of micro-display, CCD camera and computer and so on. By process of scaling, the measuring results of the RES are exact and creditable, relationship between object measurement, subjective evaluation and the RES will be established. After that, image quality of optical system can be evaluated just by detecting parameters of that. The RES is simple and the results of evaluation are exact and keeping with human vision. So the method can be used not only for optimizing design of optical system, but also for evaluation in commercial production.

The evolving landscape of quality measurement for heart failure

PubMed Central

Fitzgerald, Ashley A.; Allen, Larry A.; Masoudi, Frederick A.

2013-01-01

Heart failure (HF) is a major cause of mortality and morbidity, representing a leading cause of death and hospitalization among U.S. Medicare beneficiaries. Advances in science have generated effective interventions to reduce adverse outcomes in HF, particularly in patients with reduced left ventricular ejection fraction. Unfortunately, effective therapies for heart failure are often not utilized in an effective, safe, timely, equitable, patient-centered, and efficient manner. Further, the risk of adverse outcomes for HF remains high. The last decades have witnessed the growth of efforts to measure and improve the care and outcomes of patients with HF. This paper will review the evolution of quality measurement for HF, including a brief history of quality measurement in medicine; the measures that have been employed to characterize quality in heart failure; how the measures are obtained; how measures are employed; and present and future challenges surrounding quality measurement in heart failure. PMID:22548579

Competency-Based Education: A Framework for Measuring Quality Courses

ERIC Educational Resources Information Center

Krause, Jackie; Dias, Laura Portolese; Schedler, Chris

2015-01-01

The growth of competency-based education in an online environment requires the development and measurement of quality competency-based courses. While quality measures for online courses have been developed and standardized, they do not directly align with emerging best practices and principles in the design of quality competency-based online…

[Points of view: the role of quality measurement from the Federal Joint Committee's perspective].

PubMed

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

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…

The Quality of Medication Use in Older Adults: Methods of a Longitudinal Study

PubMed Central

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

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

Quality of Life. Volume I: Conceptualization and Measurement.

ERIC Educational Resources Information Center

Schalock, Robert L., Ed.; Siperstein, Gary N., Ed.

This volume deals with the conceptualization and measurement of quality of life for persons with mental retardation and developmental disabilities. Part 1, "The Conceptualization of Quality of Life," contains: "Self Advocacy: Foundation for Quality of Life" (Nancy A. Ward and Kenneth D. Keith); "Quality of Life and the Individual's Perspective"…

Comparing historical and modern methods of Sea Surface Temperature measurement - Part 1: Review of methods, field comparisons and dataset adjustments

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.

Measuring Flow Rate in Crystalline Bedrock Wells Using the Dissolved Oxygen Alteration Method.

PubMed

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.

Occurrences and sources of Differential Item Functioning (DIF) in patient-reported outcome measures: Description of DIF methods, and review of measures of depression, quality of life and general health

PubMed Central

Teresi, Jeanne A.; Ramirez, Mildred; Lai, Jin-Shei; Silver, Stephanie

2009-01-01

Examination of the equivalence of measures involves several levels, including conceptual equivalence of meaning, as well as quantitative tests of differential item functioning (DIF). The purpose of this review is to examine DIF in patient-reported outcomes. Reviewed were measures of self-reported depression, quality of life (QoL) and general health. Most measures of depression contained large amounts of DIF, and the impact of DIF at the scale level was typically sizeable. The studies of QoL and health measures identified a moderate amount of DIF; however, many of these studies examined only one type of DIF (uniform). Relative to DIF analyses of depression measures, less analysis of the impact of DIF on QoL and health measures was performed, and the authors of these analyses generally did not recommend remedial action, with one notable exception. While these studies represent good beginning efforts to examine measurement equivalence in patient-reported outcome measures, more cross-validation work is required using other (often larger) samples of different ethnic and language groups, as well as other methods that permit more extensive analyses of the type of DIF, together with magnitude and impact. PMID:20165561

Toward the Development of Integrative Risk-Adjusted Measures of Quality Using Large Clinical Data Bases: The Case of Anesthesia Services.

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…

Instructional Alignment as a Measure of Teaching Quality

ERIC Educational Resources Information Center

Polikoff, Morgan S.; Porter, Andrew C.

2014-01-01

Recent years have seen the convergence of two major policy streams in U.S. K-12 education: standards/accountability and teacher quality reforms. Work in these areas has led to the creation of multiple measures of teacher quality, including measures of their instructional alignment to standards/assessments, observational and student survey measures…

Diffuse prior monotonic likelihood ratio test for evaluation of fused image quality measures.

PubMed

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.

[Validation of measurement methods and estimation of uncertainty of measurement of chemical agents in the air at workstations].

PubMed

Dobecki, Marek

2012-01-01

This paper reviews the requirements for measurement methods of chemical agents in the air at workstations. European standards, which have a status of Polish standards, comprise some requirements and information on sampling strategy, measuring techniques, type of samplers, sampling pumps and methods of occupational exposure evaluation at a given technological process. Measurement methods, including air sampling and analytical procedure in a laboratory, should be appropriately validated before intended use. In the validation process, selected methods are tested and budget of uncertainty is set up. The validation procedure that should be implemented in the laboratory together with suitable statistical tools and major components of uncertainity to be taken into consideration, were presented in this paper. Methods of quality control, including sampling and laboratory analyses were discussed. Relative expanded uncertainty for each measurement expressed as a percentage, should not exceed the limit of values set depending on the type of occupational exposure (short-term or long-term) and the magnitude of exposure to chemical agents in the work environment.

Application of the acoustic voice quality index for objective measurement of dysphonia severity.

PubMed

Núñez-Batalla, Faustino; Díaz-Fresno, Estefanía; Álvarez-Fernández, Andrea; Muñoz Cordero, Gabriela; Llorente Pendás, José Luis

Over the past several decades, many acoustic parameters have been studied as sensitive to and to measure dysphonia. However, current acoustic measures might not be sensitive measures of perceived voice quality. A meta-analysis which evaluated the relationship between perceived overall voice quality and several acoustic-phonetic correlates, identified measures that do not rely on the extraction of the fundamental period, such the measures derived from the cepstrum, and that can be used in sustained vowel as well as continuous speech samples. A specific and recently developed method to quantify the severity of overall dysphonia is the acoustic voice quality index (AVQI) that is a multivariate construct that combines multiple acoustic markers to yield a single number that correlates reasonably with overall vocal quality. This research is based on one pool of voice recordings collected in two sets of subjects: 60 vocally normal and 58 voice disordered participants. A sustained vowel and a sample of connected speech were recorded and analyzed to obtain the six parameters included in the AVQI using the program Praat. Statistical analysis was completed using SPSS for Windows, version 12.0. Correlation between perception of overall voice quality and AVQI: A significant difference exists (t(95) = 9.5; p<.000) between normal and dysphonic voices. The findings of this study demonstrate the clinical feasibility of the AVQI as a measure of dysphonia severity. Copyright © 2017 Elsevier España, S.L.U. and Sociedad Española de Otorrinolaringología y Cirugía de Cabeza y Cuello. All rights reserved.

The Joint Commission Children’s Asthma Care Quality Measures and Asthma Readmissions

PubMed Central

Fassl, Bernhard A.; Nkoy, Flory L.; Stone, Bryan L.; Srivastava, Rajendu; Simon, Tamara D.; Uchida, Derek A.; Koopmeiners, Karmella; Greene, Tom; Cook, Lawrence J.

2012-01-01

BACKGROUND AND OBJECTIVES: The Joint Commission introduced 3 Children’s Asthma Care (CAC 1–3) measures to improve the quality of pediatric inpatient asthma care. Validity of the commission’s measures has not yet been demonstrated. The objectives of this quality improvement study were to examine changes in provider compliance with CAC 1–3 and associated asthma hospitalization outcomes after full implementation of an asthma care process model (CPM). METHODS: The study included children aged 2 to 17 years who were admitted to a tertiary care children’s hospital for acute asthma between January 1, 2005, and December 31, 2010. The study was divided into 3 periods: preimplementation (January 1, 2005–December 31, 2007), implementation (January 1, 2008–March 31, 2009), and postimplementation (April 1, 2009–December 31, 2010) periods. Changes in provider compliance with CAC 1–3 and associated changes in hospitalization outcomes (length of stay, costs, PICU transfer, deaths, and asthma readmissions within 6 months) were measured. Logistic regression was used to control for age, gender, race, insurance type, and time. RESULTS: A total of 1865 children were included. Compliance with quality measures before and after the CPM implementation was as follows: 99% versus 100%, CAC-1; 100% versus 100%, CAC-2; and 0% versus 87%, CAC-3 (P < .01). Increased compliance with CAC-3 was associated with a sustained decrease in readmissions from an average of 17% to 12% (P = .01) postimplementation. No change in other outcomes was observed. CONCLUSIONS: Implementation of the asthma CPM was associated with improved compliance with CAC-3 and with a delayed, yet significant and sustained decrease in hospital asthma readmission rates, validating CAC-3 as a quality measure. Due to high baseline compliance, CAC-1 and CAC-2 are of questionable value as quality measures. PMID:22908110

Outcome measures for clinical rehabilitation trials: impairment, function, quality of life, or value?

PubMed

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 Structured-Grid Quality Measure for Simulated Hypersonic Flows

NASA Technical Reports Server (NTRS)

Alter, Stephen J.

2004-01-01

A structured-grid quality measure is proposed, combining three traditional measurements: intersection angles, stretching, and curvature. Quality assesses whether the grid generated provides the best possible tradeoffs in grid stretching and skewness that enable accurate flow predictions, whereas the grid density is assumed to be a constraint imposed by the available computational resources and the desired resolution of the flow field. The usefulness of this quality measure is assessed by comparing heat transfer predictions from grid convergence studies for grids of varying quality in the range of [0.6-0.8] on an 8'half-angle sphere-cone, at laminar, perfect gas, Mach 10 wind tunnel conditions.

Measuring Service Quality in a Tertiary Institution.

ERIC Educational Resources Information Center

Soutar, Geoffrey; McNeil, Margaret

1996-01-01

Measures service quality from the viewpoint of customers (students at an Australian university), using the SERVQUAL model. Obtains evaluations of academic and administrative aspects of the educational service. Makes significant negative evaluations of administrative service quality (resulting from communication problems). Satisfaction with the…

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…

Systematic evidence-based quality measurement life-cycle approach to measure retirement in CHIPRA.

PubMed

Dougherty, Denise; Mistry, Kamila B; Lindly, Olivia; Desoto, Maushami; LLanos, Karen; Chesley, Francis

2014-01-01

In 2009, Centers for Medicare and Medicaid Services (CMS) publicly released an initial child core set (CCS) of health care quality measures for voluntary reporting by state Medicaid and Children's Health Insurance Program (CHIP) programs. CMS is responsible for implementing the reporting program and for updating the CCS annually. We assessed selected CCS measures for potential retirement. We identified a 23-member external advisory group to provide relevant expertise. We worked with the group to identify 4 major criteria with multiple subcomponents for assessing the measures. We provided information corresponding to each criterion and subcriterion, using a variety of sources such as the 2009 Medicaid Analytic eXtract (MAX), state-level Medicaid and CHIP data submitted to the CMS, and summaries of published literature on clinical and quality improvement effectiveness related to the CCS topics. Using this information, the group: 1) used a modified Delphi process to score the measures in 2 anonymous scoring rounds (on a scale of 1 to 9 in each round); 2) voted on whether each measure should be retired; and 3) provided narrative explanations of their choices (which formed the basis of our qualitative findings). Recommendations were reviewed by CMS before promulgation to state programs. The Subcommittee of the National Advisory Council on Healthcare Research and Quality (SNAC) recommended that the 4 major criteria be importance, scientific acceptability, feasibility, and usability. The SNAC recommended 3 measures for retirement: access to primary care; testing for strep before recommending antibiotics for pharyngitis; and annual HbA1c testing of children with diabetes. Explanations for suggesting retirement of the measures included: views that the well-visit measures were a better measure of access than the primary care measure; a likely ceiling effect (pharyngitis); and the paucity of clinical evidence and low prevalence (both for HbA1c). CMS recommended that state

Quality control method to measure predator evasion in wild and mass-reared Mediterranean fruit flies (Diptera: Tephritidae)

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hendrichs, M.; Wornoayporn, V.; Hendrichs, J.

Sterile male insects, mass-reared and released as part of sterile insect technique (SIT) programs, must survive long enough in the field to mature sexually and compete effectively with wild males for wild females. An often reported problem in Mediterranean fruit fly (medfly) Ceratitis capitata (Wiedemann) SIT programs is that numbers of released sterile males decrease rapidly in the field for various reasons, including losses to different types of predators. This is a serious issue in view that most operational programs release sterile flies at an age when they are still immature. Previous field and field-cage tests have confirmed that fliesmore » of laboratory strains are less able to evade predators than wild flies. Such tests involve, however, considerable manipulation and observation of predators and are therefore not suitable for routine measurements of predator evasion. Here we describe a simple quality control method with aspirators to measure agility in medflies and show that this parameter is related to the capacity of flies to evade predators. Although further standardization of the test is necessary to allow more accurate inter-strain comparisons, results confirm the relevance of measuring predator evasion in mass-reared medfly strains. Besides being a measure of this sterile male quality parameter, the described method could be used for the systematic selection of strains with a higher capacity for predator evasion. (author) [Spanish] Insectos machos esteriles criados en forma masiva para ser liberados en programas que utilizan la tecnica del insecto esteril (TIE), tienen que tener la capacidad de sobrevivir en el campo el tiempo necesario para poder madurar sexualmente y competir efectivamente con los machos silvestres por hembras silvestres. Un problema frecuentemente reportado por dichos programas de la mosca del Mediterraneo, Ceratitis capitata (Wiedemann), es que el numero de machos esteriles de laboratorio liberados en el campo, decrecen

A Novel Unsupervised Segmentation Quality Evaluation Method for Remote Sensing Images

PubMed Central

Tang, Yunwei; Jing, Linhai; Ding, Haifeng

2017-01-01

The segmentation of a high spatial resolution remote sensing image is a critical step in geographic object-based image analysis (GEOBIA). Evaluating the performance of segmentation without ground truth data, i.e., unsupervised evaluation, is important for the comparison of segmentation algorithms and the automatic selection of optimal parameters. This unsupervised strategy currently faces several challenges in practice, such as difficulties in designing effective indicators and limitations of the spectral values in the feature representation. This study proposes a novel unsupervised evaluation method to quantitatively measure the quality of segmentation results to overcome these problems. In this method, multiple spectral and spatial features of images are first extracted simultaneously and then integrated into a feature set to improve the quality of the feature representation of ground objects. The indicators designed for spatial stratified heterogeneity and spatial autocorrelation are included to estimate the properties of the segments in this integrated feature set. These two indicators are then combined into a global assessment metric as the final quality score. The trade-offs of the combined indicators are accounted for using a strategy based on the Mahalanobis distance, which can be exhibited geometrically. The method is tested on two segmentation algorithms and three testing images. The proposed method is compared with two existing unsupervised methods and a supervised method to confirm its capabilities. Through comparison and visual analysis, the results verified the effectiveness of the proposed method and demonstrated the reliability and improvements of this method with respect to other methods. PMID:29064416

The impact of the Internet on quality measurement.

PubMed

Bates, D W; Gawande, A A

2000-01-01

Consumers are eager for information about health. However, their use of such data has been limited to date. When consumers do consider data in making health care choices, they rely more on word-of-mouth reputation than on traditional quality measures, although this information has not necessarily been readily accessible. The Internet changes the exercise of quality measurement in several ways. First, quality information--including reputation--will be more readily available. Second, consumers will increasingly use it. Third, the Internet provides a low-cost, standard platform that will make it vastly easier for providers to collect quality information and pass it on to others. However, major barriers still stand in the way of public access to quality information on the Internet as well as of having that access actually improve patients' care.

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.

Nuclear and analytical methods for investigation of high quality wines

NASA Astrophysics Data System (ADS)

Tonev, D.; Geleva, E.; Grigorov, T.; Goutev, N.; Protohristov, H.; Stoyanov, Ch; Bashev, V.; Tringovska, I.; Kostova, D.

2018-05-01

Nuclear and analytical methods can help to determine the year of production – vintage and the geographical provenance of high quality wines. A complex analytical investigation of Melnik fine wines from “Artarkata” vineyards, Vinogradi village near Melnik in Southwest Bulgaria using different methods and equipment were performed. Nuclear methods, based on measured gamma-ray activity of 137Cs and specific activity of 3H can be used to determine the year of wine production. The specific activity of 137Cs was measured in wines from different vintages using Low-Background High-Resolution Gamma-Spectrometry. Tritium measurements in wine samples were carried out by using a low level liquid scintillation counting in a Packard Tri-Carb 2770 TR/SL liquid scintillation analyzer. The identification of the origin of wines using their chemical fingerprints is of great interest for wine consumers and producers. Determination of 16 chemical elements in samples from soil, wine stems, wine leaves and fine wine from the type Shiroka Melnishka, which are grown in typical Melnik vineyard was made, using Inductively Coupled Plasma-Optical Emission Spectrometry (ICP-OES).

The Attributive Theory of Quality: A Model for Quality Measurement in Higher Education.

ERIC Educational Resources Information Center

Afshar, Arash

A theoretical basis for defining and measuring the quality of institutions of higher education, namely for accreditation purposes, is developed. The theory, the Attributive Theory of Quality, is illustrated using a calculation model that is based on general systems theory. The theory postulates that quality only exists in relation to the…

Nondestructive methods of evaluating quality of wood in preservative-treated piles

Treesearch

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...

Essential tips for measuring levels of consumer satisfaction with rural health service quality.

PubMed

Smith, Karly B; Humphreys, John S; Jones, Judith A

2006-01-01

Quality of health services is a matter of increasing importance to health authorities. Monitoring consumer satisfaction of health care is an important input to improving the quality of health services. This article highlights a number of important considerations learned from rural consumer studies relevant to ensuring the valid measurement of consumer satisfaction with rural health services, as a means of contributing to quality improvements. This article compares two methods of analysing rural consumers' satisfaction with healthcare services. In one study of three rural communities in western New South Wales (NSW) and eight communities in north-west Victoria, residents were asked to rate their satisfaction with five key aspects of local health services (availability, geographical accessibility, choice, continuity, economic accessibility as measured by affordability) using a 5 point Likert scale from: one = very satisfied to five = very dissatisfied. An alternative method of assessing levels of consumer satisfaction was undertaken in the survey of eight rural communities in north-west Victoria by investigating consumers' experiences with actual and potential complaints in relation to health services. Both the NSW and Victorian respondents reported generally high levels of satisfaction with the five indicators of quality of health care. At the same time, 11% of Victorian study respondents reported having made a complaint about a health service in the previous 12 months, and one-third of the Victorian respondents reported experiences with their health services about which they wanted to complain but did not, over the same period. Interpretation of apparent consumer satisfaction with their health services must take particular account of the measures and research methods used. In assessing consumer satisfaction with health services in rural areas, specific attention should be given to maximising the engagement of rural consumers in order to ensure representativeness of

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…

Identifying positive deviants in healthcare quality and safety: a mixed methods study.

PubMed

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.

Measuring Indoor Air Quality of Hookah Lounges

PubMed Central

Fiala, Steven C.; Pawlak, Rebecca L.

2012-01-01

Many states have implemented smoke-free workplace laws to protect employees and customers from exposure to secondhand smoke. However, exemptions in these laws have allowed indoor tobacco smoking in hookah lounges to proliferate in recent years. To describe the amount of secondhand smoke in hookah lounges, we measured the indoor air quality of 10 hookah lounges in Oregon. Air quality measurements ranged from “unhealthy” to “hazardous” according to Environmental Protection Agency standards, indicating a potential health risk for patrons and employees. PMID:22994168

Comparison of two methods in deriving a short version of oral health-related quality of life measure.

PubMed

Saub, R; Locker, D; Allison, P

2008-09-01

To compare two methods of developing short forms of the Malaysian Oral Health Impact Profile (OHIP-M) measure. Cross sectional data obtained using the long form of the OHIP-M was used to produce two types of OHIP-M short forms, derived using two different methods; namely regression and item frequency methods. The short version derived using a regression method is known as Reg-SOHIP(M) and that derived using a frequency method is known as Freq-SOHIP(M). Both short forms contained 14 items. These two forms were then compared in terms of their content, scores, reliability, validity and the ability to distinguish between groups. Out of 14 items, only four were in common. The form derived from the frequency method contained more high prevalence items and higher scores than the form derived from the regression method. Both methods produced a reliable and valid measure. However, the frequency method produced a measure, which was slightly better in terms of distinguishing between groups. Regardless of the method used to produce the measures, both forms performed equally well when tested for their cross-sectional psychometric properties.

Iodine absorption cells quality evaluation methods

NASA Astrophysics Data System (ADS)

Hrabina, Jan; Zucco, Massimo; Holá, Miroslava; Šarbort, Martin; Acef, Ouali; Du-Burck, Frédéric; Lazar, Josef; Číp, Ondřej

2016-12-01

The absorption cells represent an unique tool for the laser frequency stabilization. They serve as irreplaceable optical frequency references in realization of high-stable laser standards and laser sources for different brands of optical measurements, including the most precise frequency and dimensional measurement systems. One of the most often used absorption media covering visible and near IR spectral range is molecular iodine. It offers rich atlas of very strong and narrow spectral transitions which allow realization of laser systems with ultimate frequency stabilities in or below 10-14 order level. One of the most often disccussed disadvantage of the iodine cells is iodine's corrosivity and sensitivity to presence of foreign substances. The impurities react with absorption media and cause spectral shifts of absorption spectra, spectral broadening of the transitions and decrease achievable signal-to-noise ratio of the detected spectra. All of these unwanted effects directly influence frequency stability of the realized laser standard and due to this fact, the quality of iodine cells must be precisely controlled. We present a comparison of traditionally used method of laser induced fluorescence (LIF) with novel technique based on hyperfine transitions linewidths measurement. The results summarize advantages and drawbacks of these techniques and give a recommendation for their practical usage.

Measuring the qualities of nurses: development and testing of the Qualities of Nurses Scale.

PubMed

Johnson, Maree; Cowin, Leanne

2013-01-01

This paper reports on the creation, development and testing of a new instrument to measure qualities of nurses, known as the Qualities of Nurses (QON) scale, applicable to student nurses. High attrition rates within nursing programs and during early postgraduate years are an international phenomena. Mismatches between idealized perceptions of nursing and the realities of education and clinical experiences have been identified as contributing factors. A survey method was used to elicit responses to scale items from 678 first-year nursing students at a large university. A one-factor 12-item solution explaining 47 percent of variance in the construct was demonstrated. The QON can assist in the initial assessment and ongoing monitoring of changes in students' perceptions of nurses. Using the QON, researchers and educators can identify initial student nurses' perceptions and any changes associated in educational or other events that ultimately could be manipulated to reduce attrition.

Impact of Quality Improvement Educational Interventions on Documented Adherence to Quality Measures for Adults with Crohn's Disease.

PubMed

Greene, Laurence; Sapir, Tamar; Moreo, Kathleen; Carter, Jeffrey D; Patel, Barry; Higgins, Peter D R

2015-09-01

In recent years, leading organizations in inflammatory bowel disease (IBD) have developed quality measures for the care of adults with Crohn's disease or ulcerative colitis. We used chart audits to assess the impact of quality improvement educational activities on documented adherence to Physician Quality Reporting System measures for IBD. Twenty community-based gastroenterologists were recruited to participate in baseline chart audits (n = 200), a series of 4 accredited educational activities with feedback, and follow-up chart audits (n = 200). Trained abstractors reviewed randomly selected charts of adults with moderate or severe Crohn's disease. The charts were retrospectively abstracted for physicians' documented performance of the 2013 Physician Quality Reporting System IBD quality measures. We compared the physicians' baseline and posteducation rates of documented adherence with 10 of these measures. In a secondary analysis, we compared preeducation with posteducation difference scores of low-performing physicians, those whose baseline documentation rates were in the lowest quartile, and the rest of the cohort. At baseline, documentation of mean provider-level adherence to the 10 quality measures ranged from 3% to 98% (grand mean = 35.8%). In the overall analysis, baseline and posteducation rates of documented adherence did not differ significantly for any of the measures. However, for 4 measures, preeducation to posteducation difference scores were significantly greater among low performers than physicians in the highest 3 quartiles. The results of this preliminary pragmatic study indicate that quality improvement education affords the potential to improve adherence to Physician Quality Reporting System quality measures for IBD among low-performing gastroenterologists.

The application of intraoperative transit time flow measurement to accurately assess anastomotic quality in sequential vein grafting

PubMed Central

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

Response Surface Methods for Spatially-Resolved Optical Measurement Techniques

NASA Technical Reports Server (NTRS)

Danehy, P. M.; Dorrington, A. A.; Cutler, A. D.; DeLoach, R.

2003-01-01

Response surface methods (or methodology), RSM, have been applied to improve data quality for two vastly different spatial ly-re solved optical measurement techniques. In the first application, modern design of experiments (MDOE) methods, including RSM, are employed to map the temperature field in a direct-connect supersonic combustion test facility at NASA Langley Research Center. The laser-based measurement technique known as coherent anti-Stokes Raman spectroscopy (CARS) is used to measure temperature at various locations in the combustor. RSM is then used to develop temperature maps of the flow. Even though the temperature fluctuations at a single point in the flowfield have a standard deviation on the order of 300 K, RSM provides analytic fits to the data having 95% confidence interval half width uncertainties in the fit as low as +/-30 K. Methods of optimizing future CARS experiments are explored. The second application of RSM is to quantify the shape of a 5-meter diameter, ultra-light, inflatable space antenna at NASA Langley Research Center.

A Proposal of a Method to Measure and Evaluate the Effect to Apply External Support Measures for Owners by Construction Management Method, etc

NASA Astrophysics Data System (ADS)

Tada, Hiroshi; Miyatake, Ichiro; Mouri, Junji; Ajiki, Norihiko; Fueta, Toshiharu

In Japan, various approaches have been taken to ensure the quality of public works or to support the procurement regime of the governmental agencies, as a means to utilize external resources, which include the procurement support service or the construction management (CM) method. Although discussions on these measures to utilize external resources (hereinafter referred to as external support measure) have been going on, as well as the follow-up surveys showing the positive effects of such measures have been conducted, the surveys only deal with the matters concerning the overall effects of the external support measure on the whole, meaning that the effect of each item of the tasks have not been addressed, and that the extent it dealt with the expectations of the client is unknown. However, the effective use of the external support measure in future cannot be achieved without knowing what was the purpose to introduce the external support measure, and what effect was expected on each task item, and what extent the expectation fulfilled. Furthermore, it is important to clarify not only the effect as compared to the client's expectation (performance), but also the public benefit of this measure (value improvement). From this point of view, there is not an established method to figure out the effect of the client's measure to utilize external resources. In view of this background, this study takes the CM method as an example of the external support measure, and proposes a method to measure and evaluate the effect by each task item, and suggests the future issues and possible responses, in the aim of contributing the promotion, improvement, and proper implementation of the external support measures in future.

Composite Quality Measures for Common Inpatient Medical Conditions

PubMed Central

Chen, Lena M.; Staiger, Douglas O.; Birkmeyer, John D.; Ryan, Andrew M.; Zhang, Wenying; Dimick, Justin B.

2014-01-01

Background Public reporting on quality aims to help patients select better hospitals. However, individual quality measures are sub-optimal in identifying superior and inferior hospitals based on outcome performance. Objective To combine structure, process, and outcome measures into an empirically-derived composite quality measure for heart failure (HF), acute myocardial infarction (AMI), and pneumonia (PNA). To assess how well the composite measure predicts future high and low performers, and explains variance in future hospital mortality. Research Design Using national Medicare data, we created a cohort of older patients treated at an acute care hospital for HF (n=1,203,595), AMI (n=625,595), or PNA (n=1,234,299). We ranked hospitals based on their July 2005 to June 2008 performance on the composite. We then estimated the odds of future (July to December 2009) 30-day, risk-adjusted mortality at the worst vs. best quintile of hospitals. We repeated this analysis using 2005-2008 performance on existing quality indicators, including mortality. Results The composite (vs. Hospital Compare) explained 68% (vs. 39%) of variation in future AMI mortality rates. In 2009, if an AMI patient had chosen a hospital in the worst vs. best quintile of performance using 2005-2008 composite (vs. Hospital Compare) rankings, he or she would have had 1.61 (vs. 1.39) times the odds of dying in 30 days (p-value for difference < 0.001). Results were similar for HF and PNA. Conclusions Composite measures of quality for HF, AMI, and PNA performed better than existing measures at explaining variation in future mortality and predicting future high and low performers. PMID:23942222

Rural southeast Texas air quality measurements during the 2006 Texas Air Quality Study.

PubMed

Schade, Gunnar W; Khan, Siraj; Park, Changhyoun; Boedeker, Ian

2011-10-01

The authors conducted air quality measurements of the criteria pollutants carbon monoxide, nitrogen oxides, and ozone together with meteorological measurements at a park site southeast of College Station, TX, during the 2006 Texas Air Quality Study II (TexAQS). Ozone, a primary focus of the measurements, was above 80 ppb during 3 days and above 75 ppb during additional 8 days in summer 2006, suggestive of possible violations of the ozone National Ambient Air Quality Standard (NAAQS) in this area. In concordance with other air quality measurements during the TexAQS II, elevated ozone mixing ratios coincided with northerly flows during days after cold front passages. Ozone background during these days was as high as 80 ppb, whereas southerly air flows generally provided for an ozone background lower than 40 ppb. Back trajectory analysis shows that local ozone mixing ratios can also be strongly affected by the Houston urban pollution plume, leading to late afternoon ozone increases of as high as 50 ppb above background under favorable transport conditions. The trajectory analysis also shows that ozone background increases steadily the longer a southern air mass resides over Texas after entering from the Gulf of Mexico. In light of these and other TexAQS findings, it appears that ozone air quality is affected throughout east Texas by both long-range and regional ozone transport, and that improvements therefore will require at least a regionally oriented instead of the current locally oriented ozone precursor reduction policies.

[Evaluation method with radiographic image quality indicator for internal defects of dental casting metallic restoration].

PubMed

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.

Methods of measurement for semiconductor materials, process control, and devices

NASA Technical Reports Server (NTRS)

Bullis, W. M. (Editor)

1973-01-01

This progress report describes NBS activities directed toward the development of methods of measurement for semiconductor materials, process control, and devices. Significant accomplishments during this reporting period include design of a plan to provide standard silicon wafers for four-probe resistivity measurements for the industry, publication of a summary report on the photoconductive decay method for measuring carrier lifetime, publication of a comprehensive review of the field of wire bond fabrication and testing, and successful completion of organizational activity leading to the establishment of a new group on quality and hardness assurance in ASTM Committee F-1 on Electronics. Work is continuing on measurement of resistivity of semiconductor crystals; characterization of generation-recombination-trapping centers in silicon; study of gold-doped silicon; development of the infrared response technique; evaluation of wire bonds and die attachment; and measurement of thermal properties of semiconductor devices, delay time and related carrier transport properties in junction devices, and noise properties of microwave diodes.

Measuring the quality of health care: state of the art.

PubMed

Donaldson, M S; Nolan, K

1997-05-01

September 12-13, 1996, in Washington, DC, the Institute of Medicine, as part of its Special Initiative on Health Care Quality, held an invitational conference to illustrate exemplary quality measurement and to discuss the results. Patient reports, innovative uses of outcome measures for quality improvement, risk adjustment, assessment in integrated health plans and health care settings, clinical guidelines, and projects on disseminating information on quality measurement techniques and tools were among the topics represented. Brent James described studies undertaken to reduce adverse drug events (ADEs). When implementing any measurement system where error is a possible factor, it is important to emphasize identifying problems for the purpose of learning, not judgment. Lucian Leape agreed that staff involved must feel that the purpose of the study is to examine system problems, not individuals' mistakes. David Classen described a nonproprietary computerized disease-management program designed to reduce ADEs in infectious diseases. "A QUALITY VISION": Robert Brook said that the relationship between cost or resources devoted to care and quality is not well understood and is certainly not simple. He also said that although investments in measurement strategies are needed to make them better, that doesn't mean we shouldn't attempt to use the measurements we have now. Mark Chassin said that the presentations at the conference provided evidence that should allow us to conclude beyond a reasonable doubt that quality can be measured-with a degree of scientific precision equal to that of most of the measures used to take care of patients every day.

Effectiveness Comparison of TxDOT Quality Control/Quality Assurance and Method Specifications

DOT National Transportation Integrated Search

1998-12-01

Original Report date: October 1997. This is the first and final report for research project 0-1721, "Effectiveness Comparison of TxDOT Quality Control/Quality Assurance and Method Specifications." This study was established and sponsored by TxDOT to ...

Use of focus measure operators for characterization of flood illumination adaptive optics ophthalmoscopy image quality

PubMed Central

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

Use of focus measure operators for characterization of flood illumination adaptive optics ophthalmoscopy image quality.

PubMed

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.

A Linear Algebra Measure of Cluster Quality.

ERIC Educational Resources Information Center

Mather, Laura A.

2000-01-01

Discussion of models for information retrieval focuses on an application of linear algebra to text clustering, namely, a metric for measuring cluster quality based on the theory that cluster quality is proportional to the number of terms that are disjoint across the clusters. Explains term-document matrices and clustering algorithms. (Author/LRW)

Measuring quality in services for children with an intellectual disability.

PubMed

Koornneef, Erik

2006-01-01

To evaluate the application of one particular quality measurement tool, the SERVQUAL instrument, as a potential mechanism to measure quality in services for children with disabilities Staff and family of children with an intellectual disability in two organisations providing specialist therapy and day completed an adapted SERVQUAL questionnaire. A total of 81 SERVQUAL questionnaires were distributed and 59 questionnaires were returned (response rate of 73 per cent). The SERVQUAL instrument can be considered as a useful diagnostic tool to identify particular strengths and areas for improvement in services for people with disabilities as the instrument lends itself for the monitoring of the effectiveness of quality improvement initiatives over time. The findings also showed relatively high customer expectations and the organisations involved in this research are currently not meeting all of these high expectations as significant quality gaps were found in the areas of reliability and responsiveness. The sample size was relatively small and the measurement of quality using the SERVQUAL instrument remains a challenge, due to the conceptual and empirical difficulties. The SERVQUAL instrument is probably most be attractive to service managers and funding organisations because of its ability to identify gaps in the quality of the service. The tool had been used to measure quality in services for people with disabilities and the research has shown that this tool might be an important additional quality measurement tool for services.

Dual redundant arm system operational quality measures and their applications - Static measures

NASA Technical Reports Server (NTRS)

Lee, Sukhan; Kim, Sungbok

1990-01-01

The authors present dual-arm system static operational quality measures which quantify the efficiency and capability of a dual-arm system in generating Cartesian velocities and static forces. First, they define and analyze the kinematic interactions between the two arms incurred by the various modes of dual-arm cooperation, such as transport, assembly, and grasping modes of cooperation, and specify the kinematic constraints imposed on individual arms in Cartesian space due to the kinematic interactions. Dual-arm static manipulability is presented. Finally, dual-arm operational quality is scaled by a task-oriented operational quality measure (TOQs) obtained by the comparison between the desired and actual static manipulabilities. TOQs is used in the optimization of dual-arm joint configurations. Simulation results are shown.

Impact of image quality on OCT angiography based quantitative measurements.

PubMed

Al-Sheikh, Mayss; Ghasemi Falavarjani, Khalil; Akil, Handan; Sadda, SriniVas R

2017-01-01

To study the impact of image quality on quantitative measurements and the frequency of segmentation error with optical coherence tomography angiography (OCTA). Seventeen eyes of 10 healthy individuals were included in this study. OCTA was performed using a swept-source device (Triton, Topcon). Each subject underwent three scanning sessions 1-2 min apart; the first two scans were obtained under standard conditions and for the third session, the image quality index was reduced using application of a topical ointment. En face OCTA images of the retinal vasculature were generated using the default segmentation for the superficial and deep retinal layer (SRL, DRL). Intraclass correlation coefficient (ICC) was used as a measure for repeatability. The frequency of segmentation error, motion artifact, banding artifact and projection artifact was also compared among the three sessions. The frequency of segmentation error, and motion artifact was statistically similar between high and low image quality sessions (P = 0.707, and P = 1 respectively). However, the frequency of projection and banding artifact was higher with a lower image quality. The vessel density in the SRL was highly repeatable in the high image quality sessions (ICC = 0.8), however, the repeatability was low, comparing the high and low image quality measurements (ICC = 0.3). In the DRL, the repeatability of the vessel density measurements was fair in the high quality sessions (ICC = 0.6 and ICC = 0.5, with and without automatic artifact removal, respectively) and poor comparing high and low image quality sessions (ICC = 0.3 and ICC = 0.06, with and without automatic artifact removal, respectively). The frequency of artifacts is higher and the repeatability of the measurements is lower with lower image quality. The impact of image quality index should be always considered in OCTA based quantitative measurements.

Optimizing Scoring and Sampling Methods for Assessing Built Neighborhood Environment Quality in Residential Areas

PubMed Central

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

Optimizing Scoring and Sampling Methods for Assessing Built Neighborhood Environment Quality in Residential Areas.

PubMed

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.

[Quality assurance in geriatric rehabilitation--approaches and methods].

PubMed

Deckenbach, B; Borchelt, M; Steinhagen-Thiessen, E

1997-08-01

It did not take the provisions of the 5th Book of the Social Code for quality assurance issues to gain significance in the field of geriatric rehabilitation as well. While in the surgical specialties, experience in particular with external quality assurance have already been gathered over several years now, suitable concepts and methods for the new Geriatric Rehabilitation specialty are still in the initial stages of development. Proven methods from the industrial and service sectors, such as auditing, monitoring and quality circles, can in principle be drawn on for devising geriatric rehabilitation quality assurance schemes; these in particular need to take into account the multiple factors influencing the course and outcome of rehabilitation entailed by multimorbidity and multi-drug use; the eminent role of the social environment; therapeutic interventions by a multidisciplinary team; as well as the multi-dimensional nature of rehabilitation outcomes. Moreover, the specific conditions of geriatric rehabilitation require development not only of quality standards unique to this domain but also of quality assurance procedures specific to geriatrics. Along with a number of other methods, standardized geriatric assessment will play a crucial role in this respect.

Suitability of Optical, Physical and Chemical Measurements for Detection of Changes in Bacterial Drinking Water Quality

PubMed Central

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

Suitability of optical, physical and chemical measurements for detection of changes in bacterial drinking water quality.

PubMed

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.

The use of qualitative methods in developing the descriptive systems of preference-based measures of health-related quality of life for use in economic evaluation.

PubMed

Stevens, Katherine; Palfreyman, Simon

2012-12-01

To describe how qualitative methods can be used in the development of descriptive systems of preference-based measures (PBMs) of health-related quality of life. The requirements of the National Institute for Health and Clinical Excellence and other agencies together with the increasing use of patient-reported outcome measures has led to an increase in the demand for PBMs. Recently, interest has grown in developing new PBMs and while previous research on PBMs has mainly focused on the methods of valuation, research into the methods of developing descriptive systems is an emerging field. Traditionally, descriptive systems of PBMs were developed by using top-down methods, where content was derived from existing measures, the literature, or health surveys. A contrasting approach is a bottom-up methodology, which takes the views of patients or laypeople on how their life is affected by their health. This approach generally requires the use of qualitative methods. Qualitative methods lend themselves well to the development of PBMs. They also ensure that the measure has appropriate language, content validity, and responsiveness to change. While the use of qualitative methods in the development of non-PBMs is fairly standard, their use in developing PBMs was until recently nonexistent. In this article, we illustrate the use of qualitative methods by presenting two case studies of recently developed PBMs, one generic and one condition specific. We outline the stages involved, discuss the strengths and weaknesses of the approach, and compare with the top-down approach used in the majority of PBMs to date. Copyright © 2012 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

The Aeroflex: A Bicycle for Mobile Air Quality Measurements

PubMed Central

Elen, Bart; Peters, Jan; Van Poppel, Martine; Bleux, Nico; Theunis, Jan; Reggente, Matteo; Standaert, Arnout

2013-01-01

Fixed air quality stations have limitations when used to assess people's real life exposure to air pollutants. Their spatial coverage is too limited to capture the spatial variability in, e.g., an urban or industrial environment. Complementary mobile air quality measurements can be used as an additional tool to fill this void. In this publication we present the Aeroflex, a bicycle for mobile air quality monitoring. The Aeroflex is equipped with compact air quality measurement devices to monitor ultrafine particle number counts, particulate mass and black carbon concentrations at a high resolution (up to 1 second). Each measurement is automatically linked to its geographical location and time of acquisition using GPS and Internet time. Furthermore, the Aeroflex is equipped with automated data transmission, data pre-processing and data visualization. The Aeroflex is designed with adaptability, reliability and user friendliness in mind. Over the past years, the Aeroflex has been successfully used for high resolution air quality mapping, exposure assessment and hot spot identification. PMID:23262484

The Aeroflex: a bicycle for mobile air quality measurements.

PubMed

Elen, Bart; Peters, Jan; Poppel, Martine Van; Bleux, Nico; Theunis, Jan; Reggente, Matteo; Standaert, Arnout

2012-12-24

Fixed air quality stations have limitations when used to assess people's real life exposure to air pollutants. Their spatial coverage is too limited to capture the spatial variability in, e.g., an urban or industrial environment. Complementary mobile air quality measurements can be used as an additional tool to fill this void. In this publication we present the Aeroflex, a bicycle for mobile air quality monitoring. The Aeroflex is equipped with compact air quality measurement devices to monitor ultrafine particle number counts, particulate mass and black carbon concentrations at a high resolution (up to 1 second). Each measurement is automatically linked to its geographical location and time of acquisition using GPS and Internet time. Furthermore, the Aeroflex is equipped with automated data transmission, data pre-processing and data visualization. The Aeroflex is designed with adaptability, reliability and user friendliness in mind. Over the past years, the Aeroflex has been successfully used for high resolution air quality mapping, exposure assessment and hot spot identification. 

Challenges of using quality improvement methods in nursing homes that "need improvement".

PubMed

Rantz, Marilyn J; Zwygart-Stauffacher, Mary; Flesner, Marcia; Hicks, Lanis; Mehr, David; Russell, Teresa; Minner, Donna

2012-10-01

Qualitatively describe the adoption of strategies and challenges experienced by intervention facilities participating in a study targeted to improve quality of care in nursing homes "in need of improvement". To describe how staff use federal quality indicator/quality measure (QI/QM) scores and reports, quality improvement methods and activities, and how staff supported and sustained the changes recommended by their quality improvement teams. A randomized, two-group, repeated-measures design was used to test a 2-year intervention for improving quality of care and resident outcomes in facilities in "need of improvement". Intervention group (n = 29) received an experimental multilevel intervention designed to help them: (1) use quality-improvement methods, (2) use team and group process for direct-care decision-making, (3) focus on accomplishing the basics of care, and (4) maintain more consistent nursing and administrative leadership committed to communication and active participation of staff in decision-making. A qualitative analysis revealed a subgroup of homes likely to continue quality improvement activities and readiness indicators of homes likely to improve: (1) a leadership team (nursing home administrator, director of nurses) interested in learning how to use their federal QI/QM reports as a foundation for improving resident care and outcomes; (2) one of the leaders to be a "change champion" and make sure that current QI/QM reports are consistently printed and shared monthly with each nursing unit; (3) leaders willing to involve all staff in the facility in educational activities to learn about the QI/QM process and the reports that show how their facility compares with others in the state and nation; (4) leaders willing to plan and continuously educate new staff about the MDS and federal QI/QM reports and how to do quality improvement activities; (5) leaders willing to continuously involve all staff in quality improvement committee and team activities so

A novel method of measuring the melting point of animal fats.

PubMed

Lloyd, S S; Dawkins, S T; Dawkins, R L

2014-10-01

The melting point (TM) of fat is relevant to health, but available methods of determining TM are cumbersome. One of the standard methods of measuring TM for animal and vegetable fats is the slip point, also known as the open capillary method. This method is imprecise and not amenable to automation or mass testing. We have developed a technique for measuring TM of animal fat using the Rotor-Gene Q (Qiagen, Hilden, Germany). The assay has an intra-assay SD of 0.08°C. A single operator can extract and assay up to 250 samples of animal fat in 24 h, including the time to extract the fat from the adipose tissue. This technique will improve the quality of research into genetic and environmental contributions to fat composition of meat.

Quality of care: measuring a neglected driver of improved health

PubMed Central

Kruk, Margaret E

2017-01-01

Abstract The quality of care provided by health systems contributes towards efforts to reach sustainable development goal 3 on health and well-being. There is growing evidence that the impact of health interventions is undermined by poor quality of care in lower-income countries. Quality of care will also be crucial to the success of universal health coverage initiatives; citizens unhappy with the quality and scope of covered services are unlikely to support public financing of health care. Moreover, an ethical impetus exists to ensure that all people, including the poorest, obtain a minimum quality standard of care that is effective for improving health. However, the measurement of quality today in low- and middle-income countries is inadequate to the task. Health information systems provide incomplete and often unreliable data, and facility surveys collect too many indicators of uncertain utility, focus on a limited number of services and are quickly out of date. Existing measures poorly capture the process of care and the patient experience. Patient outcomes that are sensitive to health-care practices, a mainstay of quality assessment in high-income countries, are rarely collected. We propose six policy recommendations to improve quality-of-care measurement and amplify its policy impact: (i) redouble efforts to improve and institutionalize civil registration and vital statistics systems; (ii) reform facility surveys and strengthen routine information systems; (iii) innovate new quality measures for low-resource contexts; (iv) get the patient perspective on quality; (v) invest in national quality data; and (vi) translate quality evidence for policy impact. PMID:28603313

Measuring quality of care: considering conceptual approaches to quality indicator development and evaluation.

PubMed

Stelfox, Henry T; Straus, Sharon E

2013-12-01

In this article, we describe one approach for developing and evaluating quality indicators. We focus on describing different conceptual approaches to quality indicator development, review one approach for developing quality indicators, outline how to evaluate quality indicators once developed, and discuss quality indicator maintenance. The key steps for developing quality indicators include specifying a clear goal for the indicators; using methodologies to incorporate evidence, expertise, and patient perspectives; and considering contextual factors and logistics of implementation. The Strategic Framework Board and the National Quality Measure Clearinghouse have developed criteria for evaluating quality indicators that complement traditional psychometric evaluations. Optimal strategies for quality indicator maintenance and dissemination have not been determined, but experiences with clinical guideline maintenance may be informative. For quality indicators to effectively guide quality improvement efforts, they must be developed, evaluated, maintained, and implemented using rigorous evidence-informed practices. Copyright © 2013 Elsevier Inc. All rights reserved.

Are the CMS Hospital Outpatient Quality Measures Relevant for Rural Hospitals?

ERIC Educational Resources Information Center

Casey, Michelle M.; Prasad, Shailendra; Klingner, Jill; Moscovice, Ira

2012-01-01

Context: Quality measures focused on outpatient settings are of increasing interest to policy makers, but little research has been conducted on hospital outpatient quality measures, especially in rural settings. Purpose: To evaluate the relevance of Centers for Medicare and Medicaid Services' (CMS) outpatient quality measures for rural hospitals,…

Quality Control Guidelines for SAM Chemical Methods

EPA Pesticide Factsheets

Learn more about quality control guidelines and recommendations for the analysis of samples using the chemistry methods listed in EPA's Selected Analytical Methods for Environmental Remediation and Recovery (SAM).

Quality Control Guidelines for SAM Radiochemical Methods

EPA Pesticide Factsheets

Learn more about quality control guidelines and recommendations for the analysis of samples using the radiochemistry methods listed in EPA's Selected Analytical Methods for Environmental Remediation and Recovery (SAM).

Quality Control Guidelines for SAM Biotoxin Methods

EPA Pesticide Factsheets

Learn more about quality control guidelines and recommendations for the analysis of samples using the pathogen methods listed in EPA's Selected Analytical Methods for Environmental Remediation and Recovery (SAM).

Quality Control Guidelines for SAM Pathogen Methods

EPA Pesticide Factsheets

Learn more about quality control guidelines and recommendations for the analysis of samples using the biotoxin methods listed in EPA's Selected Analytical Methods for Environmental Remediation and Recovery (SAM).

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…

Identification of suitable fundus images using automated quality assessment methods.

PubMed

Şevik, Uğur; Köse, Cemal; Berber, Tolga; Erdöl, Hidayet

2014-04-01

Retinal image quality assessment (IQA) is a crucial process for automated retinal image analysis systems to obtain an accurate and successful diagnosis of retinal diseases. Consequently, the first step in a good retinal image analysis system is measuring the quality of the input image. We present an approach for finding medically suitable retinal images for retinal diagnosis. We used a three-class grading system that consists of good, bad, and outlier classes. We created a retinal image quality dataset with a total of 216 consecutive images called the Diabetic Retinopathy Image Database. We identified the suitable images within the good images for automatic retinal image analysis systems using a novel method. Subsequently, we evaluated our retinal image suitability approach using the Digital Retinal Images for Vessel Extraction and Standard Diabetic Retinopathy Database Calibration level 1 public datasets. The results were measured through the F1 metric, which is a harmonic mean of precision and recall metrics. The highest F1 scores of the IQA tests were 99.60%, 96.50%, and 85.00% for good, bad, and outlier classes, respectively. Additionally, the accuracy of our suitable image detection approach was 98.08%. Our approach can be integrated into any automatic retinal analysis system with sufficient performance scores.

The Need for Comprehensive Health Care Quality Measures for Older Adults.

PubMed

MacLeod, Stephanie; Schwebke, Kay; Hawkins, Kevin; Ruiz, Joann; Hoo, Emma; Yeh, Charlotte S

2017-10-24

Research indicates that older adults receive only about half of their recommended care, with varying quality and limited attention to social issues impacting their health through the most commonly used quality measures. Additionally, many existing measures neglect to address nonclinical social determinants of health. Evidence of the need for more comprehensive measures for seniors is growing. The primary purpose of this article, which is supported by a limited review of literature, is to describe gaps among current quality measures in addressing certain nonclinical needs of older adults, including key social determinants of health. In doing so, the authors describe their position on the need for expanded measures to incorporate these factors to improve care and quality of life. The authors conducted a limited review of the literature to inform this article, focusing specifically on selected measures for older adults rather than a broader systematic review of all measures. Most research identified was related to clinical practice guidelines rather than quality measures of care as applied to older adults. Furthermore, the literature reviewed reflected limited evidence of efforts to tailor quality measures for the unique social needs of older adults, confirming a potential gap in this area. A growing need exists for improved quality measures specifically designed to help providers address the unique social needs of older adults. Filling this gap will improve overall understanding of seniors and help them to achieve optimal health and successful aging.

Tests to measure the quality of spermatozoa at spermiation

PubMed Central

Amann, Rupert P.

2010-01-01

This commentary is to critique the revised World Health Organization (WHO) semen analysis manual as it pertains to characteristics of a spermatozoon at spermiation. The aims of the revised WHO manual include improving the 'quality of semen analysis' without any restriction to clinical use. Furthermore, the manual states that semen analysis may be useful for (a) 'investigating male fertility status' and (b) 'monitoring spermatogenesis during and following male fertility regulation.' However, if the analysis of ejaculated spermatozoa is intended for the purposes described in (b), then cells that are abnormal at spermiation must be identified. This paper takes the position that the manual does not identify methods to estimate the quality of spermatozoa at spermiation. Instead, it uses a 'gold standard' of sperm passing through the cervical mucus or arriving near the site of fertilization. Although this standard is appropriate for drawing conclusions regarding the probability that an individual could impregnate his partner, it is not appropriate for studying illness of the testes per se. Herein, the measures of sperm quality presented in the WHO manual are critiqued with respect to the detection of spermatozoa that were abnormal at spermiation vs. those that became abnormal subsequently. Quality assessments based on the percentage of motile or 'viable' spermatozoa are meaningless. Alternative quality attributes defining spermatozoa at spermiation are presented in this paper. In conclusion, assessment of spermatozoal quality at spermiation, on the basis of quality attributes of individual ejaculated spermatozoa, is best achieved through application of (a) a new paradigm for the morphological evaluation of sperm quality and (b) modern analytical techniques to evaluate, in an adequate sample, several appropriate independent attributes in each spermatozoon in order to more accurately identify the proportion of abnormal spermatozoa. PMID:20111084

Quality control algorithms for rainfall measurements

NASA Astrophysics Data System (ADS)

Golz, Claudia; Einfalt, Thomas; Gabella, Marco; Germann, Urs

2005-09-01

One of the basic requirements for a scientific use of rain data from raingauges, ground and space radars is data quality control. Rain data could be used more intensively in many fields of activity (meteorology, hydrology, etc.), if the achievable data quality could be improved. This depends on the available data quality delivered by the measuring devices and the data quality enhancement procedures. To get an overview of the existing algorithms a literature review and literature pool have been produced. The diverse algorithms have been evaluated to meet VOLTAIRE objectives and sorted in different groups. To test the chosen algorithms an algorithm pool has been established, where the software is collected. A large part of this work presented here is implemented in the scope of the EU-project VOLTAIRE ( Validati on of mu ltisensors precipit ation fields and numerical modeling in Mediter ran ean test sites).

Tensile and shear methods for measuring strength of bilayer tablets.

PubMed

Chang, Shao-Yu; Li, Jian-Xin; Sun, Changquan Calvin

2017-05-15

Both shear and tensile measurement methods have been used to quantify interfacial bonding strength of bilayer tablets. The shear method is more convenient to perform, but reproducible strength data requires careful control of the placement of tablet and contact point for shear force application. Moreover, data obtained from the shear method depend on the orientation of the bilayer tablet. Although more time-consuming to perform, the tensile method yields data that are straightforward to interpret. Thus, the tensile method is preferred in fundamental bilayer tableting research to minimize ambiguity in data interpretation. Using both shear and tensile methods, we measured the mechanical strength of bilayer tablets made of several different layer combinations of lactose and microcrystalline cellulose. We observed a good correlation between strength obtained by the tensile method and carefully conducted shear method. This suggests that the shear method may be used for routine quality test of bilayer tablets during manufacturing because of its speed and convenience, provided a protocol for careful control of the placement of the tablet interface, tablet orientation, and blade is implemented. Copyright © 2017 Elsevier B.V. All rights reserved.

90-day postoperative mortality is a legitimate measure of hepatopancreatobiliary surgical quality

PubMed Central

Mise, Yoshihiro; Vauthey, Jean-Nicolas; Zimmitti, Giuseppe; Parker, Nathan H.; Conrad, Claudius; Aloia, Thomas A.; Lee, Jeffery E.; Fleming, Jason B.; Katz, Matthew H. G.

2015-01-01

Objective To investigate the legitimacy of 90-day mortality as a measure of hepatopancreatobiliary quality. Summary Background Data The 90-day mortality rate has been increasingly but not universally reported after hepatopancreatobiliary surgery. The legitimacy of this definition as a measure of surgical quality has not been evaluated. Methods We retrospectively reviewed the causes of all deaths that occurred within 365 postoperative days in patients undergoing hepatectomy (n = 2811) and/or pancreatectomy (n = 1092) from January 1997 through December 2012. The rates of surgery-related, disease-related, and overall mortality within 30 days, within 30 days or during the index hospitalization, within 90 days, and within 180 days following surgery were calculated. Results Seventy-nine (3%) surgery-related deaths and 92 (3%) disease-related deaths occurred within 365 days after hepatectomy. Twenty (2%) surgery-related deaths and 112 (10%) disease-related deaths occurred within 365 days after pancreatectomy. The overall mortality rates at 99 day and 118 days optimally reflected surgery-related mortality following hepatobiliary and pancreatic operations, respectively. The 90-day overall mortality rate was a less sensitive but equivalently specific measure of surgery-related death. Conclusions and Relevance The 99-day and 118-day definitions of postoperative mortality optimally reflected surgery-related mortality following hepatobiliary and pancreatic operations, respectively. However, among commonly reported metrics, the 90-day overall mortality rate represents a legitimate measure of surgical quality. PMID:25590497

SPRUCE Advanced Molecular Techniques Provide a Rigorous Method for Characterizing Organic Matter Quality in Complex Systems: Supporting 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.

RAPIDLY-MEASURED INDICATORS OF RECREATIONAL WATER QUALITY ARE PREDICTIVE OF SWIMMING-ASSOCIATED GASTROINTESTINAL ILLNESS

EPA Science Inventory

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 Measurement the Quality Metrics in a Printing System

NASA Astrophysics Data System (ADS)

Varepo, L. G.; Brazhnikov, A. Yu; Nagornova, I. V.; Novoselskaya, O. A.

2018-04-01

One of the main criteria for choosing ink as a component of printing system is scumming ability of the ink. The realization of algorithm for estimating the quality metrics in a printing system is shown. The histograms of ink rate of various printing systems are presented. A quantitative estimation of stability of offset inks emulsifiability is given.

Rapid core measure improvement through a "business case for quality".

PubMed

Perlin, Jonathan B; Horner, Stephen J; Englebright, Jane D; Bracken, Richard M

2014-01-01

Incentives to improve performance are emerging as revenue or financial penalties are linked to the measured quality of service provided. The HCA "Getting to Green" program was designed to rapidly increase core measure performance scores. Program components included (1) the "business case for quality"-increased awareness of how quality drives financial performance; (2) continuous communication of clinical and financial performance data; and (3) evidence-based clinical protocols, incentives, and tools for process improvement. Improvement was measured by comparing systemwide rates of adherence to national quality measures for heart failure (HF), acute myocardial infarction (AMI), pneumonia (PN), and surgical care (SCIP) to rates from all facilities reporting to the Centers for Medicare and Medicaid Services (CMS). As of the second quarter of 2011, 70% of HCA total measure set composite scores were at or above the 90th percentile of CMS scores. A test of differences in regression coefficients between the CMS national average and the HCA average revealed significant differences for AMI (p = .001), HF (p = .012), PN (p < .001), and SCIP (p = .015). This program demonstrated that presentation of the financial implications of quality, transparency in performance data, and clearly defined goals could cultivate the desire to use improvement tools and resources to raise performance. © 2012 National Association for Healthcare Quality.

Measuring the quality-of-life effects of diagnostic and screening tests.

PubMed

Swan, J Shannon; Miksad, Rebecca A

2009-08-01

Health-related quality of life (HRQL) is a central concept for understanding the outcomes of medical care. When used in cost-effectiveness analysis, HRQL is typically measured for conditions persisting over long time frames (years), and quality-adjusted life year (QALY) values are generated. Consequently, years are the basic unit of time for cost-effectiveness analysis results: dollars spent per QALY gained. However, shorter term components of health care may also affect HRQL, and there is increased interest in measuring and accounting for these events. In radiology, the short-term HRQL effects of screening and diagnostic testing may affect a test's cost-effectiveness, even though they may only last for days. The unique challenge in radiology HRQL assessment is to realistically tap into the testing and screening experience while remaining consistent with QALY theory. The authors review HRQL assessment and highlight methods developed to specifically address the short-term effects of radiologic screening and testing.

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.

Measuring saliency in images: which experimental parameters for the assessment of image quality?

NASA Astrophysics Data System (ADS)

Fredembach, Clement; Woolfe, Geoff; Wang, Jue

2012-01-01

Predicting which areas of an image are perceptually salient or attended to has become an essential pre-requisite of many computer vision applications. Because observers are notoriously unreliable in remembering where they look a posteriori, and because asking where they look while observing the image necessarily in uences the results, ground truth about saliency and visual attention has to be obtained by gaze tracking methods. From the early work of Buswell and Yarbus to the most recent forays in computer vision there has been, perhaps unfortunately, little agreement on standardisation of eye tracking protocols for measuring visual attention. As the number of parameters involved in experimental methodology can be large, their individual in uence on the nal results is not well understood. Consequently, the performance of saliency algorithms, when assessed by correlation techniques, varies greatly across the literature. In this paper, we concern ourselves with the problem of image quality. Specically: where people look when judging images. We show that in this case, the performance gap between existing saliency prediction algorithms and experimental results is signicantly larger than otherwise reported. To understand this discrepancy, we rst devise an experimental protocol that is adapted to the task of measuring image quality. In a second step, we compare our experimental parameters with the ones of existing methods and show that a lot of the variability can directly be ascribed to these dierences in experimental methodology and choice of variables. In particular, the choice of a task, e.g., judging image quality vs. free viewing, has a great impact on measured saliency maps, suggesting that even for a mildly cognitive task, ground truth obtained by free viewing does not adapt well. Careful analysis of the prior art also reveals that systematic bias can occur depending on instrumental calibration and the choice of test images. We conclude this work by proposing a

Softcopy quality ruler method: implementation and validation

NASA Astrophysics Data System (ADS)

Jin, Elaine W.; Keelan, Brian W.; Chen, Junqing; Phillips, Jonathan B.; Chen, Ying

2009-01-01

A softcopy quality ruler method was implemented for the International Imaging Industry Association (I3A) Camera Phone Image Quality (CPIQ) Initiative. This work extends ISO 20462 Part 3 by virtue of creating reference digital images of known subjective image quality, complimenting the hardcopy Standard Reference Stimuli (SRS). The softcopy ruler method was developed using images from a Canon EOS 1Ds Mark II D-SLR digital still camera (DSC) and a Kodak P880 point-and-shoot DSC. Images were viewed on an Apple 30in Cinema Display at a viewing distance of 34 inches. Ruler images were made for 16 scenes. Thirty ruler images were generated for each scene, representing ISO 20462 Standard Quality Scale (SQS) values of approximately 2 to 31 at an increment of one just noticeable difference (JND) by adjusting the system modulation transfer function (MTF). A Matlab GUI was developed to display the ruler and test images side-by-side with a user-adjustable ruler level controlled by a slider. A validation study was performed at Kodak, Vista Point Technology, and Aptina Imaging in which all three companies set up a similar viewing lab to run the softcopy ruler method. The results show that the three sets of data are in reasonable agreement with each other, with the differences within the range expected from observer variability. Compared to previous implementations of the quality ruler, the slider-based user interface allows approximately 2x faster assessments with 21.6% better precision.

A proposal for quality standards for measuring medication adherence in research

PubMed Central

Williams, Ann Bartley; Amico, K. Rivet; Bova, Carol; Womack, Julie A.

2012-01-01

A decade after widespread recognition that adherence to medication regimens is key to antiretroviral (ARV) effectiveness, considerable controversy remains regarding a “gold standard” for adherence measurement. Each adherence measurement approach has strengths and weaknesses and each rests on specific assumptions. The range of assumptions regarding adherence measurement and the diversity with which each approach is implemented strongly suggest that the evaluation of a particular measure outside of the context in which it was used (e.g. the study’s operational protocol) may result in undeserved confidence or lack of confidence in study results. The purpose of this paper is to propose a set of best practices across commonly used measurement methods. Recommendations regarding what information should be included in published reports regarding how adherence was measured are provided to promote improvement in the quality of measurement of medication adherence in research. PMID:22407465

Comparative evaluation of two asthma care quality measures among Medicaid beneficiaries.

PubMed

Samnaliev, Mihail; Baxter, Jeffrey D; Clark, Robin E

2009-05-01

The relative performance of asthma care quality measures has not been evaluated in Medicaid populations. Using complete claims and pharmaceutical data for 19,076 patients with persistent asthma (based on Health Effectiveness and Data Information Set criteria) in five Medicaid populations, we compared the following two measures of asthma care quality: filling prescriptions for controller asthma medications within 1 year and the ratio of controller medication to the total number of asthma medication prescriptions filled within 1 year. We calculated whether meeting each quality measure was associated with decreased odds of emergency department (ED) treatment episodes. We then compared the odds ratios, receiver operating characteristic (ROC) curves, and deviances between models, using each measure to predict ED utilization in Medicaid populations. Although meeting each measure was associated with lower odds of ED utilization, this decrease was larger if the controller asthma medication measure was met rather than the ratio measure. Additionally, models using the controller medication measure had greater areas under the ROC curve and smaller deviances than models using the ratio measure. Both administrative measures of asthma care quality were associated with lower odds of ED utilization. The controller medication measure of asthma care quality may be better than the ratio measure in relation to emergency asthma care utilization by Medicaid beneficiaries.

Development and Pilot Testing of Caregiver-Reported Pediatric Quality Measures for Transitions Between Sites of Care.

PubMed

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.

A mixed methods approach to adapting health-related quality of life measures for use in routine oncology clinical practice.

PubMed

Harley, Clare; Takeuchi, Elena; Taylor, Sally; Keding, Ada; Absolom, Kate; Brown, Julia; Velikova, Galina

2012-04-01

The current study reviewed and adapted existing health-related quality of life (HRQoL) instruments for use in routine clinical practice delivering outpatient chemotherapy for colorectal, breast and gynaecological cancers. 564 (288 gynaecological, 208 breast and 68 colorectal) outpatient consultations of 141 patients were audio-recorded and analysed to identify discussed issues. Issues were ranked from most to least commonly discussed within each disease group. Existing HRQoL instruments were evaluated against these lists and best fitting items entered into cancer-specific item banks. Item banks were evaluated during semi-structured interviews by twenty-one oncologists (13 consultants and 8 specialist registrars), four clinical nurse specialists and thirty patients, from breast, gynaecological and colorectal cancer practices. Pilot questionnaires were completed by 448 (145 breast, 148 gynaecological and 155 colorectal) patients attending outpatient clinics. Item selection and scale reliability was explored using descriptive data and psychometric methods alongside qualitative patient and clinician ratings. Each questionnaire includes five physical and three psychosocial function scales each with good internal consistency reliability (α > 0.70) plus disease-specific individual-symptom items identified as useful in clinical practice. Three cancer-specific health-related quality of life measures were developed for use in routine clinical practice. Initial analyses suggest good clinical utility and acceptable psychometric properties for the new instruments.

Quality Control Method for a Micro-Nano-Channel Microfabricated Device

NASA Technical Reports Server (NTRS)

Grattoni, Alessandro; Ferrari, Mauro; Li, Xuewu

2012-01-01

A variety of silicon-fabricated devices is used in medical applications such as drug and cell delivery, and DNA and protein separation and analysis. When a fluidic device inlet is connected to a compressed gas reservoir, and the outlet is at a lower pressure, a gas flow occurs through the membrane toward the outside. The method relies on the measurement of the gas pressure over the elapsed time inside the upstream and downstream environments. By knowing the volume of the upstream reservoir, the gas flow rate through the membrane over the pressure drop can be calculated. This quality control method consists of measuring the gas flow through a device and comparing the results with a standard curve, which can be obtained by testing standard devices. Standard devices can be selected through a variety of techniques, both destructive and nondestructive, such as SEM, AFM, and standard particle filtration.

Comparative analysis of water quality and toxicity assessment methods for urban highway runoff.

PubMed

Chen, Rui-Hong; Li, Fei-Peng; Zhang, Hai-Ping; Jiang, Yue; Mao, Ling-Chen; Wu, Ling-Ling; Chen, Ling

2016-05-15

In this study, comparative analyses of highway runoff samples obtained from seventeen storm events have been conducted between the traditional water quality assessment method and biotoxicity tests, using zebrafish (Danio rerio) embryos and luminous bacteria (Vibrio qinghaiensis. Q67) to provide useful information for ecotoxicity assessment of urban highway runoff. The study results showed that the Nemerow pollution index based on US EPA recommended Criteria Maximum Concentrations (CMC) (as traditional water quality assessment method) had no significant correlation with luminous bacteria acute toxicity test results, while significant correlation has been observed with two indicators of 72 hpf (hours post fertilization) hour hatching rate and 96 hpf abnormality rate from the toxicity test with zebrafish embryos. It is therefore concluded that the level of mixture toxicity of highway runoff could not be adequately measured by the Nemerow assessment method. Moreover, the key pollutants identified from the water quality assessment and from the biotoxicity evaluation were not consistent. For biotoxic effect evaluation of highway runoff, three indexes were found to be sensitive, i.e. 24 hpf lethality and 96 hpf abnormality of zebrafish embryos, as well as the inhibition rate for luminous bacteria Q67. It is therefore recommended that these indexes could be incorporated into the traditional Nemerow method to provide a more reasonable evaluation of the highway runoff quality and ecotoxicity. Copyright © 2016 Elsevier B.V. All rights reserved.

A method for measuring the inertia properties of rigid bodies

NASA Astrophysics Data System (ADS)

Gobbi, M.; Mastinu, G.; Previati, G.

2011-01-01

A method for the measurement of the inertia properties of rigid bodies is presented. Given a rigid body and its mass, the method allows to measure (identify) the centre of gravity location and the inertia tensor during a single test. The proposed technique is based on the analysis of the free motion of a multi-cable pendulum to which the body under consideration is connected. The motion of the pendulum and the forces acting on the system are recorded and the inertia properties are identified by means of a proper mathematical procedure based on a least square estimation. After the body is positioned on the test rig, the full identification procedure takes less than 10 min. The natural frequencies of the pendulum and the accelerations involved are quite low, making this method suitable for many practical applications. In this paper, the proposed method is described and two test rigs are presented: the first is developed for bodies up to 3500 kg and the second for bodies up to 400 kg. A validation of the measurement method is performed with satisfactory results. The test rig holds a third part quality certificate according to an ISO 9001 standard and could be scaled up to measure the inertia properties of huge bodies, such as trucks, airplanes or even ships.

e-Measures: insight into the challenges and opportunities of automating publicly reported quality measures

PubMed Central

Garrido, Terhilda; Kumar, Sudheen; Lekas, John; Lindberg, Mark; Kadiyala, Dhanyaja; Whippy, Alan; Crawford, Barbara; Weissberg, Jed

2014-01-01

Using electronic health records (EHR) to automate publicly reported quality measures is receiving increasing attention and is one of the promises of EHR implementation. Kaiser Permanente has fully or partly automated six of 13 the joint commission measure sets. We describe our experience with automation and the resulting time savings: a reduction by approximately 50% of abstractor time required for one measure set alone (surgical care improvement project). However, our experience illustrates the gap between the current and desired states of automated public quality reporting, which has important implications for measure developers, accrediting entities, EHR vendors, public/private payers, and government. PMID:23831833

*A FASTER METHOD OF MEASURING RECREATIONAL WATER QUALITY FOR BETTER PROTECTION OF SWIMMER'S HEALTH

EPA Science Inventory

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...

Measuring Software Product Quality: The ISO 25000 Series and CMMI

DTIC Science & Technology

2004-06-14

performance objectives” covers objectives and requirements for product quality, service quality , and process performance. Process performance objectives...such that product quality, service quality , and process performance attributes are measurable and controlled throughout the project (internal and

Quality Measures for the Care of Adult Patients with Obstructive Sleep Apnea

PubMed Central

Aurora, R. Nisha; Collop, Nancy A.; Jacobowitz, Ofer; Thomas, Sherene M.; Quan, Stuart F.; Aronsky, Amy J.

2015-01-01

Obstructive sleep apnea (OSA) is a prevalent disorder associated with a multitude of adverse outcomes when left untreated. There is significant heterogeneity in the evaluation and management of OSA resulting in variation in cost and outcomes. Thus, the goal for developing these measures was to have a way to evaluate the outcomes and reliability of the processes involved with the standard care approaches used in the diagnosis and management of OSA. The OSA quality care measures presented here focus on both outcomes and processes. The AASM commissioned the Adult OSA Quality Measures Workgroup to develop quality care measures aimed at optimizing care for adult patients with OSA. These quality care measures developed by the Adult OSA Quality Measures Workgroup are an extension of the original Centers for Medicare & Medicaid Services (CMS) approved Physician Quality Reporting System (PQRS) measures group for OSA. The measures are based on the available scientific evidence, focus on public safety, and strive to improve quality of life and cardiovascular outcomes for individual OSA patients. The three outcomes that were selected were as follows: (1) improve disease detection and categorization; (2) improve quality of life; and (3) reduce cardiovascular risk. After selecting these relevant outcomes, a total of ten process measures were chosen that could be applied and assessed for the purpose of accomplishing these outcomes. In the future, the measures described in this document may be reported through the PQRS in addition to, or as a replacement for, the current OSA measures group. The overall objective for the development of these measures is that implementation of these quality measures will result in improved patient outcomes, reduce the public health burden of OSA, and provide a measurable standard for evaluating and managing OSA. Citation: Aurora RN, Collop NA, Jacobowitz O, Thomas SM, Quan SF, Aronsky AJ. Quality measures for the care of adult patients with

Methods for computing water-quality loads at sites in the U.S. Geological Survey National Water Quality Network

USGS Publications Warehouse

Lee, Casey J.; Murphy, Jennifer C.; Crawford, Charles G.; Deacon, Jeffrey R.

2017-10-24

The U.S. Geological Survey publishes information on concentrations and loads of water-quality constituents at 111 sites across the United States as part of the U.S. Geological Survey National Water Quality Network (NWQN). This report details historical and updated methods for computing water-quality loads at NWQN sites. The primary updates to historical load estimation methods include (1) an adaptation to methods for computing loads to the Gulf of Mexico; (2) the inclusion of loads computed using the Weighted Regressions on Time, Discharge, and Season (WRTDS) method; and (3) the inclusion of loads computed using continuous water-quality data. Loads computed using WRTDS and continuous water-quality data are provided along with those computed using historical methods. Various aspects of method updates are evaluated in this report to help users of water-quality loading data determine which estimation methods best suit their particular application.

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…

Comparison of case note review methods for evaluating quality and safety in health care.

PubMed

Hutchinson, A; Coster, J E; Cooper, K L; McIntosh, A; Walters, S J; Bath, P A; Pearson, M; Young, T A; Rantell, K; Campbell, M J; Ratcliffe, J

2010-02-01

To determine which of two methods of case note review--holistic (implicit) and criterion-based (explicit)--provides the most useful and reliable information for quality and safety of care, and the level of agreement within and between groups of health-care professionals when they use the two methods to review the same record. To explore the process-outcome relationship between holistic and criterion-based quality-of-care measures and hospital-level outcome indicators. Case notes of patients at randomly selected hospitals in England. In the first part of the study, retrospective multiple reviews of 684 case notes were undertaken at nine acute hospitals using both holistic and criterion-based review methods. Quality-of-care measures included evidence-based review criteria and a quality-of-care rating scale. Textual commentary on the quality of care was provided as a component of holistic review. Review teams comprised combinations of: doctors (n = 16), specialist nurses (n = 10) and clinically trained audit staff (n = 3) and non-clinical audit staff (n = 9). In the second part of the study, process (quality and safety) of care data were collected from the case notes of 1565 people with either chronic obstructive pulmonary disease (COPD) or heart failure in 20 hospitals. Doctors collected criterion-based data from case notes and used implicit review methods to derive textual comments on the quality of care provided and score the care overall. Data were analysed for intrarater consistency, inter-rater reliability between pairs of staff using intraclass correlation coefficients (ICCs) and completeness of criterion data capture, and comparisons were made within and between staff groups and between review methods. To explore the process-outcome relationship, a range of publicly available health-care indicator data were used as proxy outcomes in a multilevel analysis. Overall, 1473 holistic and 1389 criterion-based reviews were undertaken in the first part of the study

COMPUTERIZED NEEDS-ORIENTED QUALITY MEASUREMENT EVALUATION SYSTEM (CONQUEST)

EPA Science Inventory

CONQUEST is an easy-to-use quality improvement software tool that uses a common structure and language to help users identity, understand, compare, evaluate, and select among 1,200 clinical performance measures that can be used to assess and improve quality of care. CONQUEST's in...

Quality assessment of solar UV irradiance measured with array spectroradiometers

NASA Astrophysics Data System (ADS)

Egli, Luca; Gröbner, Julian; Hülsen, Gregor; Bachmann, Luciano; Blumthaler, Mario; Dubard, Jimmy; Khazova, Marina; Kift, Richard; Hoogendijk, Kees; Serrano, Antonio; Smedley, Andrew; Vilaplana, José-Manuel

2016-04-01

The reliable quantification of ultraviolet (UV) radiation at the earth's surface requires accurate measurements of spectral global solar UV irradiance in order to determine the UV exposure to human skin and to understand long-term trends in this parameter. Array spectroradiometers (ASRMs) are small, light, robust and cost-effective instruments, and are increasingly used for spectral irradiance measurements. Within the European EMRP ENV03 project "Solar UV", new devices, guidelines and characterization methods have been developed to improve solar UV measurements with ASRMs, and support to the end user community has been provided. In order to assess the quality of 14 end user ASRMs, a solar UV intercomparison was held on the measurement platform of the World Radiation Center (PMOD/WRC) in Davos, Switzerland, from 10 to 17 July 2014. The results of the blind intercomparison revealed that ASRMs, currently used for solar UV measurements, show a large variation in the quality of their solar UV measurements. Most of the instruments overestimate the erythema-weighted UV index - in particular at large solar zenith angles - due to stray light contribution in the UV-B range. The spectral analysis of global solar UV irradiance further supported the finding that the uncertainties in the UV-B range are very large due to stray light contribution in this wavelength range. In summary, the UV index may be detected by some commercially available ASRMs within 5 % compared to the world reference spectroradiometer, if well characterized and calibrated, but only for a limited range of solar zenith angles. Generally, the tested instruments are not yet suitable for solar UV measurements for the entire range between 290 and 400 nm under all atmospheric conditions.

Quality assessment of solar UV irradiance measured with array spectroradiometers

NASA Astrophysics Data System (ADS)

Egli, L.; Gröbner, J.; Hülsen, G.; Bachmann, L.; Blumthaler, M.; Dubard, J.; Khazova, M.; Kift, R.; Hoogendijk, K.; Serrano, A.; Smedley, A. R. D.; Vilaplana, J.-M.

2015-12-01

The reliable quantification of ultraviolet (UV) radiation at the Earth's surface requires accurate measurements of spectral global solar UV irradiance in order to determine the UV exposure to human skin and to understand long-term trends in this parameter. Array spectroradiometers are small, light, robust and cost effective instruments and are increasingly used for spectral irradiance measurements. Within the European EMRP-ENV03 project "Solar UV", new devices, guidelines, and characterization methods have been developed to improve solar UV measurements with array spectroradiometers and support to the end-user community has been provided. In order to assess the quality of 14 end-user array spectroradiometers, a solar UV intercomparison was held on the measurement platform of the World Radiation Center (PMOD/WRC) in Davos, Switzerland, from 10 to 17 July 2014. The results of the intercomparison revealed that array spectroradiometers, currently used for solar UV measurements, show a large variation in the quality of their solar UV measurements. Most of the instruments overestimate the erythema weighted UV index - in particular at low solar zenith angles - due to stray light contribution in the UV-B range. The spectral analysis of global solar UV irradiance further supported the finding that the uncertainties in the UV-B range are very large due to stray light contribution in this wavelength range. In summary, the UV index may be detected by some commercially available array spectroradiometer within 5 % compared to the world reference spectroradiometer, if well characterized and calibrated, but only for a limited range or solar zenith angle. Generally, the tested instruments are not yet suitable for solar UV measurements for the entire range between 290 to 400 nm under all atmospheric conditions.

The Relationship between Health Plan Performance Measures and Physician Network Overlap: Implications for Measuring Plan Quality

PubMed Central

Maeng, Daniel D; Scanlon, Dennis P; Chernew, Michael E; Gronniger, Tim; Wodchis, Walter P; McLaughlin, Catherine G

2010-01-01

Objective To examine the extent to which health plan quality measures capture physician practice patterns rather than plan characteristics. Data Source We gathered and merged secondary data from the following four sources: a private firm that collected information on individual physicians and their health plan affiliations, The National Committee for Quality Assurance, InterStudy, and the Dartmouth Atlas. Study Design We constructed two measures of physician network overlap for all health plans in our sample and linked them to selected measures of plan performance. Two linear regression models were estimated to assess the relationship between the measures of physician network overlap and the plan performance measures. Principal Findings The results indicate that in the presence of a higher degree of provider network overlap, plan performance measures tend to converge to a lower level of quality. Conclusions Standard health plan performance measures reflect physician practice patterns rather than plans' effort to improve quality. This implies that more provider-oriented measurement, such as would be possible with accountable care organizations or medical homes, may facilitate patient decision making and provide further incentives to improve performance. PMID:20403064

A proposed methodology for impact assessment of air quality traffic-related measures: The case of PM2.5 in Beijing.

PubMed

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.

LiDAR for Air Quality Measurements

DOT National Transportation Integrated Search

2017-02-02

The overall goal of this research is to investigate a unique light detection and ranging (LiDAR) technology for ambient air quality measurement of particulate matter. The ODU team has recently received a state-of-the-art elastic LiDAR from NASA Langl...

The measurement of quality of care in the Veterans Health Administration.

PubMed

Halpern, J

1996-03-01

The Veterans Health Administration (VHA) is committed to continual refinement of its system of quality measurement. The VHA organizational structure for quality measurement has three levels. At the national level, the Associate Chief Medical Director for Quality Management provides leadership, sets policy, furnishes measurement tools, develops and distributes measures of quality, and delivers educational programs. At the intermediate level, VHA has four regional offices with staff responsible for reviewing risk management data, investigating quality problems, and ensuring compliance with accreditation requirements. At the hospital level, staff reporting directly to the chief of staff or the hospital director are responsible for implementing VHA quality management policy. The Veterans Health Administration's philosophy of quality measurement recognizes the agency's moral imperative to provide America's veterans with care that meets accepted standards. Because the repair of faulty systems is more efficient than the identification of poor performers, VHA has integrated the techniques of total quality into a multifaceted improvement program that also includes the accreditation program and traditional quality assurance activities. VHA monitors its performance by maintaining adverse incident databases, conducting patient satisfaction surveys, contracting for external peer review of 50,000 records per year, and comparing process and outcome rates internally and when possible with external benchmarks. The near-term objectives of VHA include providing medical centers with a quality matrix that will permit local development of quality indicators, construction of a report card for VHA's customers, and implementing the Malcolm W. Baldrige system for quality improvement as the road map for systemwide continuous improvement. Other goals include providing greater access to data, creating a patient-centered database, providing real-time clinical decision support, and expanding the

Developing Resident-Sensitive Quality Measures: A Model From Pediatric Emergency Medicine.

PubMed

Schumacher, Daniel J; Holmboe, Eric S; van der Vleuten, Cees; Busari, Jamiu O; Carraccio, Carol

2017-12-05

To begin closing the gap with respect to quality measures available for use among residents, the authors sought to identify and develop resident-sensitive quality measures (RSQMs) for use in the pediatric emergency department (PED) setting. In May 2016, the authors reviewed National Quality Measures Clearinghouse (NQMC) measures to identify resident-sensitive measures. To create additional measures focused on common, acute illnesses (acute asthma exacerbation, bronchiolitis, closed head injury [CHI]) in the PED, the authors used a nominal group technique (NGT) and Delphi process from September to December 2016. To achieve a local focus for developing these measures, all NGT and Delphi participants were from Cincinnati Children's Hospital Medical Center. Delphi participants rated measures developed through the NGT in two areas: importance of measure to quality care and likelihood that measure represents the work of a resident. The review of NQMC measures identified 28 of 183 as being potentially resident-sensitive. The NGT produced 67 measures for asthma, 46 for bronchiolitis, and 48 for CHI. These were used in the first round of the Delphi process. After two rounds, 18 measures for asthma, 21 for bronchiolitis, and 22 for CHI met automatic inclusion criteria. In round three, participants categorized the potential final measures by their top 10 and next 5. This study describes a template for identifying and developing RSQMs that may promote high-quality care delivery during and following training. Next steps should include implementing and seeking validity evidence for the locally developed measures.

A new method for water quality assessment: by harmony degree equation.

PubMed

Zuo, Qiting; Han, Chunhui; Liu, Jing; Ma, Junxia

2018-02-22

Water quality assessment is an important basic work in the development, utilization, management, and protection of water resources, and also a prerequisite for water safety. In this paper, the harmony degree equation (HDE) was introduced into the research of water quality assessment, and a new method for water quality assessment was proposed according to the HDE: by harmony degree equation (WQA-HDE). First of all, the calculation steps and ideas of this method were described in detail, and then, this method with some other important methods of water quality assessment (single factor assessment method, mean-type comprehensive index assessment method, and multi-level gray correlation assessment method) were used to assess the water quality of the Shaying River (the largest tributary of the Huaihe in China). For this purpose, 2 years (2013-2014) dataset of nine water quality variables covering seven monitoring sites, and approximately 189 observations were used to compare and analyze the characteristics and advantages of the new method. The results showed that the calculation steps of WQA-HDE are similar to the comprehensive assessment method, and WQA-HDE is more operational comparing with the results of other water quality assessment methods. In addition, this new method shows good flexibility by setting the judgment criteria value HD 0 of water quality; when HD 0  = 0.8, the results are closer to reality, and more realistic and reliable. Particularly, when HD 0  = 1, the results of WQA-HDE are consistent with the single factor assessment method, both methods are subject to the most stringent "one vote veto" judgment condition. So, WQA-HDE is a composite method that combines the single factor assessment and comprehensive assessment. This research not only broadens the research field of theoretical method system of harmony theory but also promotes the unity of water quality assessment method and can be used for reference in other comprehensive assessment.

Decision Dissonance: Evaluating an Approach to Measuring the Quality of Surgical Decision Making

PubMed Central

Fowler, Floyd J.; Gallagher, Patricia M.; Drake, Keith M.; Sepucha, Karen R.

2013-01-01

Background Good decision making has been increasingly cited as a core component of good medical care, and shared decision making is one means of achieving high decision quality. If it is to be a standard, good measures and protocols are needed for assessing the quality of decisions. Consistency with patient goals and concerns is one defining characteristic of a good decision. A new method for evaluating decision quality for major surgical decisions was examined, and a methodology for collecting the needed data was developed. Methods For a national probability sample of fee-for-service Medicare beneficiaries who had a coronary artery bypass graft (CABG), a lumpectomy or a mastectomy for breast cancer, or surgery for prostate cancer during the last half of 2008, a mail survey of selected patients was carried out about one year after the procedures. Patients’ goals and concerns, knowledge, key aspects of interactions with clinicians, and feelings about the decisions were assessed. A Decision Dissonance Score was created that measured the extent to which patient ratings of goals ran counter to the treatment received. The construct and predictive validity of the Decision Dissonance Score was then assessed. Results When data were averaged across all four procedures, patients with more knowledge and those who reported more involvement reported significantly lower Decision Dissonance Scores. Patients with lower Decision Dissonance Scores also reported more confidence in their decisions and feeling more positively about how the treatment turned out, and they were more likely to say that they would make the same decision again. Conclusions Surveying discharged surgery patients is a feasible way to evaluate decision making, and Decision Dissonance appears to be a promising approach to validly measuring decision quality. PMID:23516764

Patient-specific quantification of image quality: An automated method for measuring spatial resolution in clinical CT images

DOE Office of Scientific and Technical Information (OSTI.GOV)

Sanders, Jeremiah, E-mail: jeremiah.sanders@duke.e

Purpose: To develop and validate an automated technique for evaluating the spatial resolution characteristics of clinical computed tomography (CT) images. Methods: Twenty one chest and abdominopelvic clinical CT datasets were examined in this study. An algorithm was developed to extract a CT resolution index (RI) analogous to the modulation transfer function from clinical CT images by measuring the edge-spread function (ESF) across the patient’s skin. A polygon mesh of the air-skin boundary was created. The faces of the mesh were then used to measure the ESF across the air-skin interface. The ESF was differentiated to obtain the line-spread function (LSF),more » and the LSF was Fourier transformed to obtain the RI. The algorithm’s ability to detect the radial dependence of the RI was investigated. RIs measured with the proposed method were compared with a conventional phantom-based method across two reconstruction algorithms (FBP and iterative) using the spatial frequency at 50% RI, f{sub 50}, as the metric for comparison. Three reconstruction kernels were investigated for each reconstruction algorithm. Finally, an observer study was conducted to determine if observers could visually perceive the differences in the measured blurriness of images reconstructed with a given reconstruction method. Results: RI measurements performed with the proposed technique exhibited the expected dependencies on the image reconstruction. The measured f{sub 50} values increased with harder kernels for both FBP and iterative reconstruction. Furthermore, the proposed algorithm was able to detect the radial dependence of the RI. Patient-specific measurements of the RI were comparable to the phantom-based technique, but the patient data exhibited a large spread in the measured f{sub 50}, indicating that some datasets were blurrier than others even when the projection data were reconstructed with the same reconstruction algorithm and kernel. Results from the observer study

Validation of a combi oven cooking method for preparation of chicken breast meat for quality assessment.

PubMed

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.

Comparison of microstickies measurement methods. Part I, sample preparation and measurement methods

Treesearch

Mahendra R. Doshi; Angeles Blanco; Carlos Negro; Gilles M. Dorris; Carlos C. Castro; Axel Hamann; R. Daniel Haynes; Carl Houtman; Karen Scallon; Hans-Joachim Putz; Hans Johansson; R.A. Venditti; K. Copeland; H.-M. Chang

2003-01-01

Recently, we completed a project on the comparison of macrostickies measurement methods. Based on the success of the project, we decided to embark on this new project on comparison of microstickies measurement methods. When we started this project, there were some concerns and doubts principally due to the lack of an accepted definition of microstickies. However, we...

Evaluation Measures and Methods: Some Intersections.

ERIC Educational Resources Information Center

Elliott, John

The literature is reviewed for four combinations of evaluation measures and methods: traditional methods with traditional measures (T-Meth/T-Mea), nontraditional methods with traditional measures (N-Meth/T-Mea), traditional measures with nontraditional measures (T-Meth/N-Mea), and nontraditional methods with nontraditional measures (N-Meth/N-Mea).…

Estimation of pressure-particle velocity impedance measurement uncertainty using the Monte Carlo method.

PubMed

Brandão, Eric; Flesch, Rodolfo C C; Lenzi, Arcanjo; Flesch, Carlos A

2011-07-01

The pressure-particle velocity (PU) impedance measurement technique is an experimental method used to measure the surface impedance and the absorption coefficient of acoustic samples in situ or under free-field conditions. In this paper, the measurement uncertainty of the the absorption coefficient determined using the PU technique is explored applying the Monte Carlo method. It is shown that because of the uncertainty, it is particularly difficult to measure samples with low absorption and that difficulties associated with the localization of the acoustic centers of the sound source and the PU sensor affect the quality of the measurement roughly to the same extent as the errors in the transfer function between pressure and particle velocity do. © 2011 Acoustical Society of America

Measuring Quality of Care in Community Mental Health: Validation of Concordant Clinician and Client Quality-of-Care Scales.

PubMed

Luther, Lauren; Fukui, Sadaaki; Garabrant, Jennifer M; Rollins, Angela L; Morse, Gary; Henry, Nancy; Shimp, Dawn; Gearhart, Timothy; Salyers, Michelle P

2018-04-12

Measuring quality of care can transform care, but few tools exist to measure quality from the client's perspective. The aim of this study was to create concordant clinician and client self-report quality-of-care scales in a sample of community mental health clinicians (n = 189) and clients (n = 469). The client scale had three distinct factors (Person-Centered Care, Negative Staff Interactions, and Inattentive Care), while the clinician scale had two: Person-Centered Care and Discordant Care. Both versions demonstrated adequate internal consistency and validity with measures related to satisfaction and the therapeutic relationship. These measures are promising, brief quality assessment tools.

Distributor- Retailer Interface in Pharmaceutical Supply Chain: Service Quality Measurement Scale.

PubMed

Mehralian, Gholamhossein; Babapour, Jafar; Peiravian, Farzad

2016-01-01

In the current competitive market, service quality management is the key to the survival and success of businesses. SERVQUAL is a popular service quality measurement scale (SQMS) that has served as a basis for subsequent research on service quality; it has been used for testing different aspects of service quality in a market. The purpose of our study is, therefore, to develop a service quality measurement scale (SQMS) for the distributor-retailer interface of Pharm supply chains (PSC) in Iran. A survey was performed to collect data from pharmacies located in Tehran. A valid and reliable questionnaire delivered to pharmacies, and 400 pharmacies were intended to participate in our survey. Confirmatory factor analysis (CFA) was used to develop an SQMS in this study. Sufficient sampling was undertaken to do CFA. Consistent with other service quality studies, this Res developed an SQMS with five dimensions and 20 items for PSC, and contributes to mangers to regularly measure service quality. This is an initial study to develop a framework for measuring service quality in Iranian PCS. The framework can be used effectively to achieve competitive advantage at the distributor-retailer interface.

Distributor– Retailer Interface in Pharmaceutical Supply Chain: Service Quality Measurement Scale

PubMed Central

Mehralian, Gholamhossein; Babapour, Jafar; peiravian, farzad

2016-01-01

In the current competitive market, service quality management is the key to the survival and success of businesses. SERVQUAL is a popular service quality measurement scale (SQMS) that has served as a basis for subsequent research on service quality; it has been used for testing different aspects of service quality in a market. The purpose of our study is, therefore, to develop a service quality measurement scale (SQMS) for the distributor–retailer interface of Pharm supply chains (PSC) in Iran. A survey was performed to collect data from pharmacies located in Tehran. A valid and reliable questionnaire delivered to pharmacies, and 400 pharmacies were intended to participate in our survey. Confirmatory factor analysis (CFA) was used to develop an SQMS in this study. Sufficient sampling was undertaken to do CFA. Consistent with other service quality studies, this Res developed an SQMS with five dimensions and 20 items for PSC, and contributes to mangers to regularly measure service quality. This is an initial study to develop a framework for measuring service quality in Iranian PCS. The framework can be used effectively to achieve competitive advantage at the distributor–retailer interface. PMID:28243297

DockQ: A Quality Measure for Protein-Protein Docking Models

PubMed Central

Basu, Sankar

2016-01-01

The state-of-the-art to assess the structural quality of docking models is currently based on three related yet independent quality measures: Fnat, LRMS, and iRMS as proposed and standardized by CAPRI. These quality measures quantify different aspects of the quality of a particular docking model and need to be viewed together to reveal the true quality, e.g. a model with relatively poor LRMS (>10Å) might still qualify as 'acceptable' with a descent Fnat (>0.50) and iRMS (<3.0Å). This is also the reason why the so called CAPRI criteria for assessing the quality of docking models is defined by applying various ad-hoc cutoffs on these measures to classify a docking model into the four classes: Incorrect, Acceptable, Medium, or High quality. This classification has been useful in CAPRI, but since models are grouped in only four bins it is also rather limiting, making it difficult to rank models, correlate with scoring functions or use it as target function in machine learning algorithms. Here, we present DockQ, a continuous protein-protein docking model quality measure derived by combining Fnat, LRMS, and iRMS to a single score in the range [0, 1] that can be used to assess the quality of protein docking models. By using DockQ on CAPRI models it is possible to almost completely reproduce the original CAPRI classification into Incorrect, Acceptable, Medium and High quality. An average PPV of 94% at 90% Recall demonstrating that there is no need to apply predefined ad-hoc cutoffs to classify docking models. Since DockQ recapitulates the CAPRI classification almost perfectly, it can be viewed as a higher resolution version of the CAPRI classification, making it possible to estimate model quality in a more quantitative way using Z-scores or sum of top ranked models, which has been so valuable for the CASP community. The possibility to directly correlate a quality measure to a scoring function has been crucial for the development of scoring functions for protein structure

Effect of freezing method and frozen storage duration on instrumental quality of lamb throughout display.

PubMed

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.

Two-point method uncertainty during control and measurement of cylindrical element diameters

NASA Astrophysics Data System (ADS)

Glukhov, V. I.; Shalay, V. V.; Radev, H.

2018-04-01

The topic of the article is devoted to the urgent problem of the reliability of technical products geometric specifications measurements. The purpose of the article is to improve the quality of parts linear sizes control by the two-point measurement method. The article task is to investigate methodical extended uncertainties in measuring cylindrical element linear sizes. The investigation method is a geometric modeling of the element surfaces shape and location deviations in a rectangular coordinate system. The studies were carried out for elements of various service use, taking into account their informativeness, corresponding to the kinematic pairs classes in theoretical mechanics and the number of constrained degrees of freedom in the datum element function. Cylindrical elements with informativity of 4, 2, 1 and θ (zero) were investigated. The uncertainties estimation of in two-point measurements was made by comparing the results of of linear dimensions measurements with the functional diameters maximum and minimum of the element material. Methodical uncertainty is formed when cylindrical elements with maximum informativeness have shape deviations of the cut and the curvature types. Methodical uncertainty is formed by measuring the element average size for all types of shape deviations. The two-point measurement method cannot take into account the location deviations of a dimensional element, so its use for elements with informativeness less than the maximum creates unacceptable methodical uncertainties in measurements of the maximum, minimum and medium linear dimensions. Similar methodical uncertainties also exist in the arbitration control of the linear dimensions of the cylindrical elements by limiting two-point gauges.

Measurement of IgE antibodies using liquid allergens--an inter-method and inter-laboratory quality assessment.

PubMed

Aberer, Werner; Kränke, Birger

2002-11-30

The determination of IgE antibodies is important for the in vitro diagnosis of allergic diseases. However, not all systems currently available in the market fulfill essential quality criteria, e.g. regarding characteristics such as sensitivity and specificity, and the data do not always reflect true clinical relevance in the required fashion. Recent innovations may reduce the workload for the technician, and thus help save time and money. More importantly, they might reduce potential sources of error. Two allergy systems, the well established Pharmacia CAP system that uses the allergens conventionally in a solid phase and the ALLERgen system that employs liquid allergens, were compared with regard to quality criteria and practicability. Defined serum pools were checked for within-run and between-days imprecision of IgE antibody detection in two independent laboratories. Serum specimens from allergic patients and controls were tested in parallel using both methods for total and antigen-specific IgE antibody detection under standardized conditions. In addition, one laboratory working exclusively with the ALLERgen system participated in the Austrian inter-laboratory quality assessment program. The two systems were comparable in terms of sensitivity and specificity, and also showed good correlation. Within-run evaluations were excellent for total IgE and antigen-specific IgE, and the between-days imprecision was satisfactory. Coefficients of variation were within an acceptable range for the different groups of allergens. In the external quality control program the data obtained with the ALLERgen system showed good concordance with other systems in use; up to 94% of the results were identical when considering clinically relevant sensitizations. Regarding practicability, both systems were most satisfactory for the operator. The ALLERgen system offered a certain advantage in terms of automated operation, which resulted in shorter fixed and variable phases of personnel

Measuring the quality of provided services for patients with chronic kidney disease.

PubMed

Bahadori, Mohammadkarim; Raadabadi, Mehdi; Heidari Jamebozorgi, Majid; Salesi, Mahmood; Ravangard, Ramin

2014-09-01

The healthcare organizations need to develop and implement quality improvement plans for their survival and success. Measuring quality in the healthcare competitive environment is an undeniable necessity for these organizations and will lead to improved patient satisfaction. This study aimed to measure the quality of provided services for patients with chronic kidney disease in Kerman in 2014. This cross-sectional, descriptive-analytic study was performed from 23 January 2014 to 14 February 2014 in four hemodialysis centers in Kerman. All of the patients on chronic hemodialysis (n = 195) who were referred to these four centers were selected and studied using census method. The required data were collected using the SERVQUAL questionnaire, consisting of two parts: questions related to the patients' demographic characteristics, and 28 items to measure the patients' expectations and perceptions of the five dimensions of service quality, including tangibility, reliability, responsiveness, assurance, and empathy. The collected data were analyzed using SPSS 21.0 through some statistical tests, including independent-samples t test, one-way ANOVA, and paired-samples t test. The results showed that the means of patients' expectations were more than their perceptions of the quality of provided services in all dimensions, which indicated that there were gaps in all dimensions. The highest and lowest means of negative gaps were related to empathy (-0.52 ± 0.48) and tangibility (-0.29 ± 0.51). In addition, among the studied patients' demographic characteristics and the five dimensions of service quality, only the difference between the patients' income levels and the gap in assurance were statistically significant (P < 0.001). Overall, the results of the present study showed that the expectations of patients on hemodialysis were more than their perceptions of provided services. The healthcare providers and employees should pay more attention to the patients' opinions and

The role of quality measurement in a competitive marketplace.

PubMed

Epstein, A M

1996-01-01

Quality measurement is not a new idea. However, in recent years, several new trends have gained prominence: greater interest in publicly reported information on quality of care, access to care, and patient satisfaction; an increased focus on health plans and integrated systems of care rather than on institutional providers and practitioners as the unit of observation; wide adoption of the techniques of continuous quality improvement within the health care sector; increased use of clinical practice guidelines to improve care for a broad range of medical conditions; incorporation of computer technology into the clinical setting; and greater appreciation for health outcomes as a measure of quality of care. This chapter first reviews the changes in the medical landscape that have seeded these trends and the distinction between quality assurance and quality improvement. It then focuses on public policy concerns, in particular on the emergence of publicly disseminated information about quality of care, now often called "quality report cards." The major prototypes of these reports developed to date, the responses to quality reporting by different members of the delivery system, and the major criticisms of this approach are reviewed. The chapter concludes by predicting probable developments and the strategies most likely to move health care forward in a productive direction.

Measuring patients' experiences with rheumatic care: the consumer quality index rheumatoid arthritis.

PubMed

Zuidgeest, Marloes; Sixma, Herman; Rademakers, Jany

2009-12-01

Rheumatologists and other caregivers can learn from patients’ experiences with the quality of care that can be measured with the CQ-index Rheumatoid Arthritis (CQ-index RA) survey. Patients with RA (n = 590) received this survey were they rated their actual experiences and what they find important in rheumatic healthcare. Descriptive analyses and psychometric methods were used to test the reliability. The response rate was 69%. The items in the pilot instrument could be grouped into 10 scales (α ranged from 0.77 to 0.94). The most important quality aspects according to patients concerned the alertness when prescribing medication. Providing patients with information on a special website of the hospital about RA was the highest quality improvement aspect. The results of this study show that the CQ-index RA is a reliable instrument for quality assessment from the patients’ perspective. The instrument provides rheumatologists and other caregivers with feedback for service improvement initiatives.

Development of quality assurance methods for epoxy graphite prepreg

NASA Technical Reports Server (NTRS)

Chen, J. S.; Hunter, A. B.

1982-01-01

Quality assurance methods for graphite epoxy/prepregs were developed. Liquid chromatography, differential scanning calorimetry, and gel permeation chromatography were investigated. These methods were applied to a second prepreg system. The resin matrix formulation was correlated with mechanical properties. Dynamic mechanical analysis and fracture toughness methods were investigated. The chromatography and calorimetry techniques were all successfully developed as quality assurance methods for graphite epoxy prepregs. The liquid chromatography method was the most sensitive to changes in resin formulation. The were also successfully applied to the second prepreg system.

Measurement bias detection with Kronecker product restricted models for multivariate longitudinal data: an illustration with health-related quality of life data from thirteen measurement occasions.

PubMed

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.

Composite measures of watershed health from a water quality perspective.

PubMed

Mallya, Ganeshchandra; Hantush, Mohamed; Govindaraju, Rao S

2018-05-15

Water quality data at gaging stations are typically compared with established federal, state, or local water quality standards to determine if violations (concentrations of specific constituents falling outside acceptable limits) have occurred. Based on the frequency and severity of water quality violations, risk metrics such as reliability, resilience, and vulnerability (R-R-V) are computed for assessing water quality-based watershed health. In this study, a modified methodology for computing R-R-V measures is presented, and a new composite watershed health index is proposed. Risk-based assessments for different water quality parameters are carried out using identified national sampling stations within the Upper Mississippi River Basin, the Maumee River Basin, and the Ohio River Basin. The distributional properties of risk measures with respect to water quality parameters are reported. Scaling behaviors of risk measures using stream order, specifically for the watershed health (WH) index, suggest that WH values increased with stream order for suspended sediment concentration, nitrogen, and orthophosphate in the Upper Mississippi River Basin. Spatial distribution of risk measures enable identification of locations exhibiting poor watershed health with respect to the chosen numerical standard, and the role of land use characteristics within the watershed. Copyright © 2018 Elsevier Ltd. All rights reserved.

Measuring quality progress

NASA Astrophysics Data System (ADS)

Lambert, Larry D.

The study by the American Productivity & Quality Center (APQC) was commissioned by Loral Space Information Systems, Inc. and the National Aeronautics and Space Administration (NASA) to evaluate internal assessment systems. APQC benchmarked approaches to the internal assessment of quality management systems in three phases. The first phase included work conducted for the International Benchmarking Clearinghouse (IBC) and consisted of an in-depth analysis of the 1991 Malcolm Baldrige National Quality Award criteria. The second phase was also performed for the IBC and compared the 1991 award criteria among the following quality awards: Deming Prize, Malcolm Baldrige National Quality Award, The President's Award for Quality and Productivity Improvement, The NASA Excellence Award (The George M. Lowe Trophy) for Quality and Productivity Improvement and the Shigeo Shingo Award for Excellence in Manufacturing. The third phase compared the internal implementation approaches of 23 companies selected from American industry for their recognized, formal assessment systems.

Measuring quality progress

NASA Technical Reports Server (NTRS)

Lambert, Larry D.

1992-01-01

The study by the American Productivity & Quality Center (APQC) was commissioned by Loral Space Information Systems, Inc. and the National Aeronautics and Space Administration (NASA) to evaluate internal assessment systems. APQC benchmarked approaches to the internal assessment of quality management systems in three phases. The first phase included work conducted for the International Benchmarking Clearinghouse (IBC) and consisted of an in-depth analysis of the 1991 Malcolm Baldrige National Quality Award criteria. The second phase was also performed for the IBC and compared the 1991 award criteria among the following quality awards: Deming Prize, Malcolm Baldrige National Quality Award, The President's Award for Quality and Productivity Improvement, The NASA Excellence Award (The George M. Lowe Trophy) for Quality and Productivity Improvement and the Shigeo Shingo Award for Excellence in Manufacturing. The third phase compared the internal implementation approaches of 23 companies selected from American industry for their recognized, formal assessment systems.

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…

Measuring access to primary care appointments: a review of methods

PubMed Central

Jones, Wendy; Elwyn, Glyn; Edwards, Peter; Edwards, Adrian; Emmerson, Melody; Hibbs, Richard

2003-01-01

Background Patient access to primary care appointments is not routinely measured despite the increasing interest in this aspect of practice activity. The generation of standardised data (or benchmarks) for access could inform developments within primary care organisations and act as a quality marker for clinical governance. Logically the setting of targets should be based on a sound system of measurement. The practicalities of developing appropriate measures need debate. Therefore we aimed to search for and compare methods that have been published or are being developed to measure patient access to primary care appointments, with particular focus on finding methods using appointment system data. Method A search and review was made of the primary care literature from 1990 to 2001, which included an assessment of online resources (websites) and communication with recognised experts. The identified methods were assessed. Results The published literature in this specific area was not extensive but revealed emerging interest in the late 1990s. Two broad approaches to the measurement of waiting times to GP appointments were identified. Firstly, appointment systems in primary care organisations were analysed in differing ways to provide numerical data and, secondly, patient perceptions (reports) of access were evaluated using survey techniques. Six different methods were found which were based on appointment systems data. Conclusion The two approaches of either using patient questionnaires or appointment system data are methods that represent entirely different aims. The latter method when used to represent patient waiting times for 'routine' elective appointments seems to hold promise as a useful tool and this avoids the definitional problems that surround 'urgent' appointments. The purpose for which the data is being collected needs to be borne in mind and will determine the chosen methods of data retrieval and representation. PMID:12846934

Health-related quality of life measurement in oncology: advances and opportunities.

PubMed

Cella, David; Stone, Arthur A

2015-01-01

The concept of health-related quality of life has a long history in the field of oncology treatment and research. We present a brief history of how the concept has evolved in oncology and the sentinel events in that process. We then focus on advances in measurement science as applied to health-related quality of life measures and argue that a compelling new set of measurement tools is now available, including brief, generic measures with good psychometric qualities (exemplified by the new PROMIS measures and the possibility of a common metric spanning all diseases). The last section of the paper turns to emerging opportunities for these measures, including in clinical trials, healthcare reform, and regulatory deliberations. Our conclusion is that health-related quality of life is more important today than it has ever been, and that the time has come for an even wider adoption of the new measures. PsycINFO Database Record (c) 2015 APA, all rights reserved.

Measuring quality of life in cleft lip and palate patients: currently available patient-reported outcomes measures.

PubMed

Eckstein, Donna A; Wu, Rebecca L; Akinbiyi, Takintope; Silver, Lester; Taub, Peter J

2011-11-01

Patient-reported outcomes in cleft lip and palate treatment are critical for patient care. Traditional surgical outcomes focused on objective measures, such as photographs, anatomic measurements, morbidity, and mortality. Although these remain important, they leave many questions unanswered. Surveys that include aesthetics, speech, functionality, self-image, and quality of life provide more thorough outcomes assessment. It is vital that reliable, valid, and comprehensive questionnaires are available to craniofacial surgeons. The authors performed a literature review to identify questionnaires validated in cleft lip and palate patients. Qualifying instruments were assessed for adherence to guidelines for development and validation by the scientific advisory committee and for content. The authors identified 44 measures used in cleft lip and palate studies. After 15 ad hoc questionnaires, eight generic instruments, 11 psychiatric instruments, and one non-English language questionnaire were excluded, nine measures remained. Of these, four were never validated in the cleft population. Analysis revealed one craniofacial-specific measure (Youth Quality of Life-Facial Differences), two voice-related measures (Patient Voice-Related Quality of Life and Cleft Audit Protocol for Speech-Augmented), and two oral health-related measures (Child Oral Health Impact Profile and Child Oral Health Quality of Life). The Youth Quality of Life-Facial Differences, Child Oral Health Impact Profile, and Child Oral Health Quality of Life questionnaires were sufficiently validated. None was created specifically for clefts, resulting in content limitations. There is a lack of comprehensive, valid, and reliable questionnaires for cleft lip and palate surgery. For thorough assessment of satisfaction, further research to develop and validate cleft lip and palate surgery-specific instruments is needed.

Reliability and validity of non-radiographic methods of thoracic kyphosis measurement: a systematic review.

PubMed

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.

Is the maturity of hospitals' quality improvement systems associated with measures of quality and patient safety?

PubMed Central

2011-01-01

Background Previous research addressed the development of a classification scheme for quality improvement systems in European hospitals. In this study we explore associations between the 'maturity' of the hospitals' quality improvement system and clinical outcomes. Methods The maturity classification scheme was developed based on survey results from 389 hospitals in eight European countries. We matched the hospitals from the Spanish sample (113 hospitals) with those hospitals participating in a nation-wide, voluntary hospital performance initiative. We then compared sample distributions and explored associations between the 'maturity' of the hospitals' quality improvement system and a range of composite outcomes measures, such as adjusted hospital-wide mortality, -readmission, -complication and -length of stay indices. Statistical analysis includes bivariate correlations for parametrically and non-parametrically distributed data, multiple robust regression models and bootstrapping techniques to obtain confidence-intervals for the correlation and regression estimates. Results Overall, 43 hospitals were included. Compared to the original sample of 113, this sample was characterized by a higher representation of university hospitals. Maturity of the quality improvement system was similar, although the matched sample showed less variability. Analysis of associations between the quality improvement system and hospital-wide outcomes suggests significant correlations for the indicator adjusted hospital complications, borderline significance for adjusted hospital readmissions and non-significance for the adjusted hospital mortality and length of stay indicators. These results are confirmed by the bootstrap estimates of the robust regression model after adjusting for hospital characteristics. Conclusions We assessed associations between hospitals' quality improvement systems and clinical outcomes. From this data it seems that having a more developed quality improvement

Measurement properties of adult quality-of-life measurement instruments for eczema: a systematic review.

PubMed

Heinl, D; Prinsen, C A C; Deckert, S; Chalmers, J R; Drucker, A M; Ofenloch, R; Humphreys, R; Sach, T; Chamlin, S L; Schmitt, J; Apfelbacher, C

2016-03-01

The Harmonising Outcome Measures for Eczema (HOME) initiative has identified quality of life (QoL) as a core outcome domain to be evaluated in every eczema trial. It is unclear which of the existing QoL instruments is most appropriate for this domain. Thus, the aim of this review was to systematically assess the measurement properties of existing measurement instruments developed and/or validated for the measurement of QoL in adult eczema. We conducted a systematic literature search in PubMed and Embase identifying studies on measurement properties of adult eczema QoL instruments. For all eligible studies, we assessed the adequacy of the measurement properties and the methodological quality with the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) checklist. A best evidence synthesis summarizing findings from different studies was the basis to assign four degrees of recommendation (A-D). A total of 15 articles reporting on 17 instruments were included. No instrument fulfilled the criteria for category A. Six instruments were placed in category B, meaning that they have the potential to be recommended depending on the results of further validation studies. Three instruments had poor adequacy in at least one required adequacy criterion and were therefore put in category C. The remaining eight instruments were minimally validated and were thus placed in category D. Currently, no QoL instrument can be recommended for use in adult eczema. The Quality of Life Index for Atopic Dermatitis (QoLIAD) and the Dermatology Life Quality Index (DLQI) are recommended for further validation research. © 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Useful measures and models for analytical quality management in medical laboratories.

PubMed

Westgard, James O

2016-02-01

The 2014 Milan Conference "Defining analytical performance goals 15 years after the Stockholm Conference" initiated a new discussion of issues concerning goals for precision, trueness or bias, total analytical error (TAE), and measurement uncertainty (MU). Goal-setting models are critical for analytical quality management, along with error models, quality-assessment models, quality-planning models, as well as comprehensive models for quality management systems. There are also critical underlying issues, such as an emphasis on MU to the possible exclusion of TAE and a corresponding preference for separate precision and bias goals instead of a combined total error goal. This opinion recommends careful consideration of the differences in the concepts of accuracy and traceability and the appropriateness of different measures, particularly TAE as a measure of accuracy and MU as a measure of traceability. TAE is essential to manage quality within a medical laboratory and MU and trueness are essential to achieve comparability of results across laboratories. With this perspective, laboratory scientists can better understand the many measures and models needed for analytical quality management and assess their usefulness for practical applications in medical laboratories.

Linking Quality and Spending to Measure Value for People with Serious Illness.

PubMed

Ryan, Andrew M; Rodgers, Phillip E

2018-03-01

Healthcare payment is rapidly evolving to reward value by measuring and paying for quality and spending performance. Rewarding value for the care of seriously ill patients presents unique challenges. To evaluate the state of current efforts to measure and reward value for the care of seriously ill patients. We performed a PubMed search of articles related to (1) measures of spending for people with serious illness and (2) linking spending and quality measures and rewarding performance for the care of people with serious illness. We limited our search to U.S.-based studies published in English between January 1, 1960, and March 31, 2017. We supplemented this search by identifying public programs and other known initiatives that linked quality and spending for the seriously ill and extracted key program elements. Our search related to linking spending and quality measures and rewarding performance for the care of people with serious illness yielded 277 articles. We identified three current public programs that currently link measures of quality and spending-or are likely to within the next few years-the Oncology Care Model; the Comprehensive End-Stage Renal Disease Model; and Home Health Value-Based Purchasing. Models that link quality and spending consist of four core components: (1) measuring quality, (2) measuring spending, (3) the payment adjustment model, and (4) the linking/incentive model. We found that current efforts to reward value for seriously ill patients are targeted for specific patient populations, do not broadly encourage the use of palliative care, and have not closely aligned quality and spending measures related to palliative care. We develop recommendations for policymakers and stakeholders about how measures of spending and quality can be balanced in value-based payment programs.

Linking Quality and Spending to Measure Value for People with Serious Illness

PubMed Central

Rodgers, Phillip E.

2018-01-01

Abstract Background: Healthcare payment is rapidly evolving to reward value by measuring and paying for quality and spending performance. Rewarding value for the care of seriously ill patients presents unique challenges. Objective: To evaluate the state of current efforts to measure and reward value for the care of seriously ill patients. Design: We performed a PubMed search of articles related to (1) measures of spending for people with serious illness and (2) linking spending and quality measures and rewarding performance for the care of people with serious illness. We limited our search to U.S.-based studies published in English between January 1, 1960, and March 31, 2017. We supplemented this search by identifying public programs and other known initiatives that linked quality and spending for the seriously ill and extracted key program elements. Results: Our search related to linking spending and quality measures and rewarding performance for the care of people with serious illness yielded 277 articles. We identified three current public programs that currently link measures of quality and spending—or are likely to within the next few years—the Oncology Care Model; the Comprehensive End-Stage Renal Disease Model; and Home Health Value-Based Purchasing. Models that link quality and spending consist of four core components: (1) measuring quality, (2) measuring spending, (3) the payment adjustment model, and (4) the linking/incentive model. We found that current efforts to reward value for seriously ill patients are targeted for specific patient populations, do not broadly encourage the use of palliative care, and have not closely aligned quality and spending measures related to palliative care. Conclusions: We develop recommendations for policymakers and stakeholders about how measures of spending and quality can be balanced in value-based payment programs. PMID:29091529

Use of near-infrared spectroscopy and multipoint measurements for quality control of pharmaceutical drug products.

PubMed

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.

Evaluation of ride quality prediction methods for operational military helicopters

NASA Technical Reports Server (NTRS)

Leatherwood, J. D.; Clevenson, S. A.; Hollenbaugh, D. D.

1984-01-01

The results of a simulator study conducted to compare and validate various ride quality prediction methods for use in assessing passenger/crew ride comfort within helicopters are presented. Included are results quantifying 35 helicopter pilots' discomfort responses to helicopter interior noise and vibration typical of routine flights, assessment of various ride quality metrics including the NASA ride comfort model, and examination of possible criteria approaches. Results of the study indicated that crew discomfort results from a complex interaction between vibration and interior noise. Overall measures such as weighted or unweighted root-mean-square acceleration level and A-weighted noise level were not good predictors of discomfort. Accurate prediction required a metric incorporating the interactive effects of both noise and vibration. The best metric for predicting crew comfort to the combined noise and vibration environment was the NASA discomfort index.

Modeling individualized coefficient alpha to measure quality of test score data.

PubMed

Liu, Molei; Hu, Ming; Zhou, Xiao-Hua

2018-05-23

Individualized coefficient alpha is defined. It is item and subject specific and is used to measure the quality of test score data with heterogenicity among the subjects and items. A regression model is developed based on 3 sets of generalized estimating equations. The first set of generalized estimating equation models the expectation of the responses, the second set models the response's variance, and the third set is proposed to estimate the individualized coefficient alpha, defined and used to measure individualized internal consistency of the responses. We also use different techniques to extend our method to handle missing data. Asymptotic property of the estimators is discussed, based on which inference on the coefficient alpha is derived. Performance of our method is evaluated through simulation study and real data analysis. The real data application is from a health literacy study in Hunan province of China. Copyright © 2018 John Wiley & Sons, Ltd.

Laboratory validation of four black carbon measurement methods for the determination of non-volatile particulate matter (PM) mass emissions . . .

EPA Science Inventory

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...

Geospatial distribution modeling and determining suitability of groundwater quality for irrigation purpose using geospatial methods and water quality index (WQI) in Northern Ethiopia

NASA Astrophysics Data System (ADS)

Gidey, Amanuel

2018-06-01

Determining suitability and vulnerability of groundwater quality for irrigation use is a key alarm and first aid for careful management of groundwater resources to diminish the impacts on irrigation. This study was conducted to determine the overall suitability of groundwater quality for irrigation use and to generate their spatial distribution maps in Elala catchment, Northern Ethiopia. Thirty-nine groundwater samples were collected to analyze and map the water quality variables. Atomic absorption spectrophotometer, ultraviolet spectrophotometer, titration and calculation methods were used for laboratory groundwater quality analysis. Arc GIS, geospatial analysis tools, semivariogram model types and interpolation methods were used to generate geospatial distribution maps. Twelve and eight water quality variables were used to produce weighted overlay and irrigation water quality index models, respectively. Root-mean-square error, mean square error, absolute square error, mean error, root-mean-square standardized error, measured values versus predicted values were used for cross-validation. The overall weighted overlay model result showed that 146 km2 areas are highly suitable, 135 km2 moderately suitable and 60 km2 area unsuitable for irrigation use. The result of irrigation water quality index confirms 10.26% with no restriction, 23.08% with low restriction, 20.51% with moderate restriction, 15.38% with high restriction and 30.76% with the severe restriction for irrigation use. GIS and irrigation water quality index are better methods for irrigation water resources management to achieve a full yield irrigation production to improve food security and to sustain it for a long period, to avoid the possibility of increasing environmental problems for the future generation.

Methods to Develop the Eye-tem Bank to Measure Ophthalmic Quality of Life.

PubMed

Khadka, Jyoti; Fenwick, Eva; Lamoureux, Ecosse; Pesudovs, Konrad

2016-12-01

There is an increasing demand for high-standard, comprehensive, and reliable patient-reported outcome (PRO) instruments in all the disciplines of health care including in ophthalmology and optometry. Over the past two decades, a plethora of PRO instruments have been developed to assess the impact of eye diseases and their treatments. Despite this large number of instruments, significant shortcomings exist for the measurement of ophthalmic quality of life (QoL). Most PRO instruments are short-form instruments designed for clinical use, but this limits their content coverage often poorly targeting any study population other than that which they were developed for. Also, existing instruments are static paper and pencil based and unable to be updated easily leading to outdated and irrelevant item content. Scores obtained from different PRO instruments may not be directly comparable. These shortcomings can be addressed using item banking implemented with computer-adaptive testing (CAT). Therefore, we designed a multicenter project (The Eye-tem Bank project) to develop and validate such PROs to enable comprehensive measurement of ophthalmic QoL in eye diseases. Development of the Eye-tem Bank follows four phases: Phase I, Content Development; Phase II, Pilot Testing and Item Calibration; Phase III, Validation; and Phase IV, Evaluation. This project will deliver technologically advanced comprehensive QoL PROs in the form of item banking implemented via a CAT system in eye diseases. Here, we present a detailed methodological framework of this project.

Can a Focus on Preventable Events Help Untangle the Quality Measurement Mess?

PubMed

Miller, Michael

2016-01-01

The success of a shift from paying for volume to paying for value depends on our ability to measure quality. Unfortunately, current approaches to measuring quality and linking quality to payment have frustrated providers and failed to provide essential information to patients. Shifting to a focus on preventable events could go a long way toward clarifying and simplifying quality measurement, but successful adoption of that approach requires overcoming several substantive and political challenges.

Assessing quality of care for migraineurs: a model health plan measurement set.

PubMed

Leas, Brian F; Gagne, Joshua J; Goldfarb, Neil I; Rupnow, Marcia F T; Silberstein, Stephen

2008-08-01

Quality of care measures are increasingly important to health plans, purchasers, physicians, and patients. Appropriate measures can be used to assess quality and evaluate improvement and are necessary components of pay-for-performance programs. Despite the broad scope of activity in the development of quality measures, migraine headache has received little attention. Given the enormous costs associated with migraine, especially in terms of lost productivity and preventable health care utilization, health plans could gain from a structured approach to measuring the quality of migraine care their beneficiaries receive. A potential migraine quality measurement set was developed through a review of migraine care literature and guidelines, interviews with leaders in migraine care, health care purchasing, and managed care, and the assembly of an advisory board. The board discussed candidate measures and established consensus on a testable measurement set. Twenty measures were developed, focused primarily on diagnosis and utilization. Areas of utilization include physician visits, emergency department visits, hospitalizations, and imaging. Use of both acute and preventive medications is included. More complex aspects of migraine care are also addressed, including triptan overuse, the relationship between acute and preventive medications, and follow-up after emergency department visits. The measures are currently being tested in health plans to assess their feasibility and value. A compelling case can be made for the development of migraine-specific quality measures for health plans. This effort to develop and test a starter set of measures should lead to new and innovative efforts to assess and improve quality of care for migraineurs.

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.