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

The Effectiveness of the Higher Education Quality Assessment System: Problems and Countermeasures in China

ERIC Educational Resources Information Center

Guangli, Zhou

2016-01-01

The effectiveness of the higher education quality assessment system is essentially a matter of policy evaluation. On the macro level, such a system refers to external quality assessment, which includes government evaluation, quality certification, and university rankings. Depending on the degree of government intervention, the external quality…

Ohio Step Up to Quality: QRS Profile. The Child Care Quality Rating System (QRS) Assessment

ERIC Educational Resources Information Center

Child Trends, 2010

2010-01-01

This paper presents a profile of Ohio's Step Up to Quality prepared as part of the Child Care Quality Rating System (QRS) Assessment Study. The profile consists of several sections and their corresponding descriptions including: (1) Program Information; (2) Rating Details; (3) Quality Indicators for Center-Based Programs; (4) Indicators for Family…

A systematic review of instruments that assess the implementation of hospital quality management systems.

PubMed

Groene, Oliver; Botje, Daan; Suñol, Rosa; Lopez, Maria Andrée; Wagner, Cordula

2013-10-01

Health-care providers invest substantial resources to establish and implement hospital quality management systems. Nevertheless, few tools are available to assess implementation efforts and their effect on quality and safety outcomes. This review aims to (i) identify instruments to assess the implementation of hospital quality management systems, (ii) describe their measurement properties and (iii) assess the effects of quality management on quality improvement and quality of care outcomes. We performed a systematic literature search from 1990 to 2011 in PubMed, CINAHL, EMBASE, Cochrane Library and Web of Science. In addition, we used snowball strategies, screened the reference lists of eligible papers, reviewed grey literature and contacted experts in the field. and data extraction Two reviewers screened eligible papers based on pre-defined inclusion and exclusion criteria and all authors extracted data. Eligible papers are described in terms of general characteristics (settings, type and level of respondents, mode of data collection), methodological properties (sampling strategy, item derivation, conceptualization of quality management, assessment of reliability and validity, scoring) and application/implementation (accounting for context, organizational adaptations, sensitivity to change, deployment and effect size). Eighteen papers were deemed eligible for inclusion. While some common domains emerged in measurement conceptualization, substantial differences in scope persist. The instruments' measurement properties were insufficiently described and only few instruments assessed links between the implementation of quality management systems (QMS) and improvement strategies or outcomes. There is currently no well-established measure to assess the implementation and effectiveness of quality management systems. Future research should address this gap.

Vermont STep Ahead Recognition System: QRS Profile. The Child Care Quality Rating System (QRS) Assessment

ERIC Educational Resources Information Center

Child Trends, 2010

2010-01-01

This paper presents a profile of Vermont's STep Ahead Recognition System (STARS) prepared as part of the Child Care Quality Rating System (QRS) Assessment Study. The profile consists of several sections and their corresponding descriptions including: (1) Program Information; (2) Rating Details; (3) Quality Indicators for All Child Care Programs;…

Tennessee Star-Quality Child Care Program: QRS Profile. The Child Care Quality Rating System (QRS) Assessment

ERIC Educational Resources Information Center

Child Trends, 2010

2010-01-01

This paper presents a profile of Tennessee's Star-Quality Child Care Program prepared as part of the Child Care Quality Rating System (QRS) Assessment Study. The profile consists of several sections and their corresponding descriptions including: (1) Program Information; (2) Rating Details; (3) Quality Indicators for Center-Based Programs; (4)…

Oregon Child Care Quality Indicators Program: QRS Profile. The Child Care Quality Rating System (QRS) Assessment

ERIC Educational Resources Information Center

Child Trends, 2010

2010-01-01

This paper presents a profile of Oregon's Child Care Quality Indicators Program prepared as part of the Child Care Quality Rating System (QRS) Assessment Study. The profile consists of several sections and their corresponding descriptions including: (1) Program Information; (2) Rating Details; (3) Quality Indicators for Center-Based Programs; (4)…

Development of Internal System of Education Quality Assessment at a University

ERIC Educational Resources Information Center

Kalimullin, Aydar M.; Khodyreva, Elena ?.; Koinova-Zoellner, Julia

2016-01-01

The urgency of the research is determined by the need to ensure the quality of higher education an essential factor of which is development of the internal assessment system for educational activities at universities. The aim of the article is validation of the model of development of the internal assessment system for educational activities at…

Quality assessment of urban environment

NASA Astrophysics Data System (ADS)

Ovsiannikova, T. Y.; Nikolaenko, M. N.

2015-01-01

This paper is dedicated to the research applicability of quality management problems of construction products. It is offered to expand quality management borders in construction, transferring its principles to urban systems as economic systems of higher level, which qualitative characteristics are substantially defined by quality of construction product. Buildings and structures form spatial-material basis of cities and the most important component of life sphere - urban environment. Authors justify the need for the assessment of urban environment quality as an important factor of social welfare and life quality in urban areas. The authors suggest definition of a term "urban environment". The methodology of quality assessment of urban environment is based on integrated approach which includes the system analysis of all factors and application of both quantitative methods of assessment (calculation of particular and integrated indicators) and qualitative methods (expert estimates and surveys). The authors propose the system of indicators, characterizing quality of the urban environment. This indicators fall into four classes. The authors show the methodology of their definition. The paper presents results of quality assessment of urban environment for several Siberian regions and comparative analysis of these results.

A new air quality monitoring and early warning system: Air quality assessment and air pollutant concentration prediction.

PubMed

Yang, Zhongshan; Wang, Jian

2017-10-01

Air pollution in many countries is worsening with industrialization and urbanization, resulting in climate change and affecting people's health, thus, making the work of policymakers more difficult. It is therefore both urgent and necessary to establish amore scientific air quality monitoring and early warning system to evaluate the degree of air pollution objectively, and predict pollutant concentrations accurately. However, the integration of air quality assessment and air pollutant concentration prediction to establish an air quality system is not common. In this paper, we propose a new air quality monitoring and early warning system, including an assessment module and forecasting module. In the air quality assessment module, fuzzy comprehensive evaluation is used to determine the main pollutants and evaluate the degree of air pollution more scientifically. In the air pollutant concentration prediction module, a novel hybridization model combining complementary ensemble empirical mode decomposition, a modified cuckoo search and differential evolution algorithm, and an Elman neural network, is proposed to improve the forecasting accuracy of six main air pollutant concentrations. To verify the effectiveness of this system, pollutant data for two cities in China are used. The result of the fuzzy comprehensive evaluation shows that the major air pollutants in Xi'an and Jinan are PM 10 and PM 2.5 respectively, and that the air quality of Xi'an is better than that of Jinan. The forecasting results indicate that the proposed hybrid model is remarkably superior to all benchmark models on account of its higher prediction accuracy and stability. Copyright © 2017 Elsevier Inc. All rights reserved.

Human visual system consistent quality assessment for remote sensing image fusion

NASA Astrophysics Data System (ADS)

Liu, Jun; Huang, Junyi; Liu, Shuguang; Li, Huali; Zhou, Qiming; Liu, Junchen

2015-07-01

Quality assessment for image fusion is essential for remote sensing application. Generally used indices require a high spatial resolution multispectral (MS) image for reference, which is not always readily available. Meanwhile, the fusion quality assessments using these indices may not be consistent with the Human Visual System (HVS). As an attempt to overcome this requirement and inconsistency, this paper proposes an HVS-consistent image fusion quality assessment index at the highest resolution without a reference MS image using Gaussian Scale Space (GSS) technology that could simulate the HVS. The spatial details and spectral information of original and fused images are first separated in GSS, and the qualities are evaluated using the proposed spatial and spectral quality index respectively. The overall quality is determined without a reference MS image by a combination of the proposed two indices. Experimental results on various remote sensing images indicate that the proposed index is more consistent with HVS evaluation compared with other widely used indices that may or may not require reference images.

North Carolina Star Rated License System: QRS Profile. The Child Care Quality Rating System (QRS) Assessment

ERIC Educational Resources Information Center

Child Trends, 2010

2010-01-01

This paper presents a profile of North Carolina's Star Rated License System prepared as part of the Child Care Quality Rating System (QRS) Assessment Study. The profile consists of several sections and their corresponding descriptions including: (1) Program Information; (2) Rating Details; (3) Quality Indicators for Center-Based Programs; (4)…

Models and Methods of Aggregating Linguistic Information in Multi-criteria Hierarchical Quality Assessment Systems

NASA Astrophysics Data System (ADS)

Azarnova, T. V.; Titova, I. A.; Barkalov, S. A.

2018-03-01

The article presents an algorithm for obtaining an integral assessment of the quality of an organization from the perspective of customers, based on the method of aggregating linguistic information on a multilevel hierarchical system of quality assessment. The algorithm is of a constructive nature, it provides not only the possibility of obtaining an integral evaluation, but also the development of a quality improvement strategy based on the method of linguistic decomposition, which forms the minimum set of areas of work with clients whose quality change will allow obtaining the required level of integrated quality assessment.

Colorado Qualistar. QRS Profile. The Child Care Quality Rating System (QRS) Assessment

ERIC Educational Resources Information Center

Child Trends, 2010

2010-01-01

This paper presents a profile of Colorado's Qualistar prepared as part of the Child Care Quality Rating System (QRS) Assessment Study. The profile consists of several sections and their corresponding descriptions including: (1) Program Information; (2) Rating Details; (3) Quality Indicators for Center-Based Programs; (4) Indicators for Family…

APPLICATION OF A WATER QUALITY ASSESSMENT MODELING SYSTEM AT A SUPERFUND SITE

EPA Science Inventory

Water quality modeling and related exposure assessments at a Superfund site, Silver Bow Creek-Clark Fork River in Montana, demonstrate the capability to predict the fate of mining waste pollutants in the environment. inked assessment system--consisting of hydrology and erosion, r...

Concepts of Quality in Student Assessment.

ERIC Educational Resources Information Center

Harlen, Wynne

This paper gives an overview of the methods of moderation, or quality assurance and quality control, as they may be more widely known, that are used to enhance the quality of student assessment. The discussion is based on the educational systems of the United Kingdom but is applicable to assessment in other countries. Quality in assessment is seen…

Assessing the Validity of the Qualistar Early Learning Quality Rating and Improvement System as a Tool for Improving Child-Care Quality

ERIC Educational Resources Information Center

Zellman, Gail L.; Perlman, Michal; Le, Vi-Nhuan; Setodji, Claude Messan

2008-01-01

As a result of the generally low quality of child care in the United States and the increased emphasis on accountability in education policy, quality rating systems (QRSs) are proliferating in the child-care arena. QRSs assess child-care providers on multiple dimensions of quality and integrate these assessments into an easily understood summary…

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.

10 Principles for Building a High-Quality System of Assessments

ERIC Educational Resources Information Center

Jobs for the Future, 2018

2018-01-01

Many states and districts are working toward developing and implementing high-quality systems that align assessments with each other, and to college and career readiness, and a comprehensive set of higher-order thinking skills. In order to support states, districts, and communities in this, the following 10 principles as guidance and common…

Pennsylvania Keystone STARS: QRS Profile. The Child Care Quality Rating System (QRS) Assessment

ERIC Educational Resources Information Center

Child Trends, 2010

2010-01-01

This paper presents a profile of Pennsylvania's Keystone STARS prepared as part of the Child Care Quality Rating System (QRS) Assessment Study. The profile consists of several sections and their corresponding descriptions including: (1) Program Information; (2) Rating Details; (3) Quality Indicators for Center-Based Programs; (4) Indicators for…

Minnesota Parent Aware: QRS Profile. The Child Care Quality Rating System (QRS) Assessment

ERIC Educational Resources Information Center

Child Trends, 2010

2010-01-01

This paper presents a profile of Minnesota's Parent Aware prepared as part of the Child Care Quality Rating System (QRS) Assessment Study. The profile consists of several sections and their corresponding descriptions including: (1) Program Information; (2) Rating Details; (3) Quality Indicators for Center-Based Programs; (4) Indicators for Family…

National Assessment of Data Quality and Associated Systems-Level Factors in Malawi

PubMed Central

O'Hagan, Richael; Marx, Melissa A; Finnegan, Karen E; Naphini, Patrick; Ng'ambi, Kumbukani; Laija, Kingsley; Wilson, Emily; Park, Lois; Wachepa, Sautso; Smith, Joseph; Gombwa, Lewis; Misomali, Amos; Mleme, Tiope; Yosefe, Simeon

2017-01-01

ABSTRACT Background: Routine health data can guide health systems improvements, but poor quality of these data hinders use. To address concerns about data quality in Malawi, the Ministry of Health and National Statistical Office conducted a data quality assessment (DQA) in July 2016 to identify systems-level factors that could be improved. Methods: We used 2-stage stratified random sampling methods to select health centers and hospitals under Ministry of Health auspices, included those managed by faith-based entities, for this DQA. Dispensaries, village clinics, police and military facilities, tertiary-level hospitals, and private facilities were excluded. We reviewed client registers and monthly reports to verify availability, completeness, and accuracy of data in 4 service areas: antenatal care (ANC), family planning, HIV testing and counseling, and acute respiratory infection (ARI). We also conducted interviews with facility and district personnel to assess health management information system (HMIS) functioning and systems-level factors that may be associated with data quality. We compared systems and quality factors by facility characteristics using 2-sample t tests with Welch's approximation, and calculated verification ratios comparing total entries in registers to totals from summarized reports. Results: We selected 16 hospitals (of 113 total in Malawi), 90 health centers (of 466), and 16 district health offices (of 28) in 16 of Malawi's 28 districts. Nearly all registers were available and complete in health centers and district hospitals, but data quality varied across service areas; median verification ratios comparing register and report totals at health centers ranged from 0.78 (interquartile range [IQR]: 0.25, 1.07) for ARI and 0.99 (IQR: 0.82, 1.36) for family planning to 1.00 (IQR: 0.96, 1.00) for HIV testing and counseling and 1.00 (IQR: 0.80, 1.23) for ANC. More than half (60%) of facilities reported receiving a documented supervisory visit for

High-volume image quality assessment systems: tuning performance with an interactive data visualization tool

NASA Astrophysics Data System (ADS)

Bresnahan, Patricia A.; Pukinskis, Madeleine; Wiggins, Michael

1999-03-01

Image quality assessment systems differ greatly with respect to the number and types of mags they need to evaluate, and their overall architectures. Managers of these systems, however, all need to be able to tune and evaluate system performance, requirements often overlooked or under-designed during project planning. Performance tuning tools allow users to define acceptable quality standards for image features and attributes by adjusting parameter settings. Performance analysis tools allow users to evaluate and/or predict how well a system performs in a given parameter state. While image assessment algorithms are becoming quite sophisticated, duplicating or surpassing the human decision making process in their speed and reliability, they often require a greater investment in 'training' or fine tuning of parameters in order to achieve optimum performance. This process may involve the analysis of hundreds or thousands of images, generating a large database of files and statistics that can be difficult to sort through and interpret. Compounding the difficulty is the fact that personnel charged with tuning and maintaining the production system may not have the statistical or analytical background required for the task. Meanwhile, hardware innovations have greatly increased the volume of images that can be handled in a given time frame, magnifying the consequences of running a production site with an inadequately tuned system. In this paper, some general requirements for a performance evaluation and tuning data visualization system are discussed. A custom engineered solution to the tuning and evaluation problem is then presented, developed within the context of a high volume image quality assessment, data entry, OCR, and image archival system. A key factor influencing the design of the system was the context-dependent definition of image quality, as perceived by a human interpreter. This led to the development of a five-level, hierarchical approach to image quality

Remote Sensing Image Quality Assessment Experiment with Post-Processing

NASA Astrophysics Data System (ADS)

Jiang, W.; Chen, S.; Wang, X.; Huang, Q.; Shi, H.; Man, Y.

2018-04-01

This paper briefly describes the post-processing influence assessment experiment, the experiment includes three steps: the physical simulation, image processing, and image quality assessment. The physical simulation models sampled imaging system in laboratory, the imaging system parameters are tested, the digital image serving as image processing input are produced by this imaging system with the same imaging system parameters. The gathered optical sampled images with the tested imaging parameters are processed by 3 digital image processes, including calibration pre-processing, lossy compression with different compression ratio and image post-processing with different core. Image quality assessment method used is just noticeable difference (JND) subject assessment based on ISO20462, through subject assessment of the gathered and processing images, the influence of different imaging parameters and post-processing to image quality can be found. The six JND subject assessment experimental data can be validated each other. Main conclusions include: image post-processing can improve image quality; image post-processing can improve image quality even with lossy compression, image quality with higher compression ratio improves less than lower ratio; with our image post-processing method, image quality is better, when camera MTF being within a small range.

Towards a Fuzzy Expert System on Toxicological Data Quality Assessment.

PubMed

Yang, Longzhi; Neagu, Daniel; Cronin, Mark T D; Hewitt, Mark; Enoch, Steven J; Madden, Judith C; Przybylak, Katarzyna

2013-01-01

Quality assessment (QA) requires high levels of domain-specific experience and knowledge. QA tasks for toxicological data are usually performed by human experts manually, although a number of quality evaluation schemes have been proposed in the literature. For instance, the most widely utilised Klimisch scheme1 defines four data quality categories in order to tag data instances with respect to their qualities; ToxRTool2 is an extension of the Klimisch approach aiming to increase the transparency and harmonisation of the approach. Note that the processes of QA in many other areas have been automatised by employing expert systems. Briefly, an expert system is a computer program that uses a knowledge base built upon human expertise, and an inference engine that mimics the reasoning processes of human experts to infer new statements from incoming data. In particular, expert systems have been extended to deal with the uncertainty of information by representing uncertain information (such as linguistic terms) as fuzzy sets under the framework of fuzzy set theory and performing inferences upon fuzzy sets according to fuzzy arithmetic. This paper presents an experimental fuzzy expert system for toxicological data QA which is developed on the basis of the Klimisch approach and the ToxRTool in an effort to illustrate the power of expert systems to toxicologists, and to examine if fuzzy expert systems are a viable solution for QA of toxicological data. Such direction still faces great difficulties due to the well-known common challenge of toxicological data QA that "five toxicologists may have six opinions". In the meantime, this challenge may offer an opportunity for expert systems because the construction and refinement of the knowledge base could be a converging process of different opinions which is of significant importance for regulatory policy making under the regulation of REACH, though a consensus may never be reached. Also, in order to facilitate the implementation

A Systems-Level Approach to Building Sustainable Assessment Cultures: Moderation, Quality Task Design and Dependability of Judgement

ERIC Educational Resources Information Center

Colbert, Peta; Wyatt-Smith, Claire; Klenowski, Val

2012-01-01

This article considers the conditions that are necessary at system and local levels for teacher assessment to be valid, reliable and rigorous. With sustainable assessment cultures as a goal, the article examines how education systems can support local-level efforts for quality learning and dependable teacher assessment. This is achieved through…

Institutional Consequences of Quality Assessment

ERIC Educational Resources Information Center

Joao Rosa, Maria; Tavares, Diana; Amaral, Alberto

2006-01-01

This paper analyses the opinions of Portuguese university rectors and academics on the quality assessment system and its consequences at the institutional level. The results obtained show that university staff (rectors and academics, with more of the former than the latter) held optimistic views of the positive consequences of quality assessment…

Developing a multidisciplinary robotic surgery quality assessment program.

PubMed

Gonsenhauser, Iahn; Abaza, Ronney; Mekhjian, Hagop; Moffatt-Bruce, Susan D

2012-01-01

The objective of this study was to test the feasibility of a novel quality-improvement (QI) program designed to incorporate multiple robotic surgical sub-specialties in one health care system. A robotic surgery quality assessment program was developed by The Ohio State University College of Medicine (OSUMC) in conjunction with The Ohio State University Medical Center Quality Improvement and Operations Department. A retrospective review of cases was performed using data interrogated from the OSUMC Information Warehouse from January 2007 through August 2009. Robotic surgery cases (n=2200) were assessed for operative times, length of stay (LOS), conversions, returns to surgery, readmissions and cancellations as potential quality indicators. An actionable and reproducible framework for the quality measurement and assessment of a multidisciplinary and interdepartmental robotic surgery program was successfully completed demonstrating areas for improvement opportunities. This report supports that standard quality indicators can be applied to multiple specialties within a health care system to develop a useful quality tracking and assessment tool in the highly specialized area of robotic surgery. © 2012 National Association for Healthcare Quality.

Delaware Stars for Early Success. QRS Profile. The Child Care Quality Rating System (QRS) Assessment

ERIC Educational Resources Information Center

Child Trends, 2010

2010-01-01

This paper presents a profile of Delaware's Stars for Early Success prepared as part of the Child Care Quality Rating System (QRS) Assessment Study. The profile consists of several sections and their corresponding descriptions including: (1) Program Information; (2) Rating Details; (3) Quality Indicators for Center-Based Programs; (4) Indicators…

Kentucky STARS for KIDS NOW: QRS Profile. The Child Care Quality Rating System (QRS) Assessment

ERIC Educational Resources Information Center

Child Trends, 2010

2010-01-01

This paper presents a profile of Kentucky's STARS for KIDS NOW prepared as part of the Child Care Quality Rating System (QRS) Assessment Study. The profile consists of several sections and their corresponding descriptions including: (1) Program Information; (2) Rating Details; (3) Quality Indicators for Center-Based Programs; (4) Indicators for…

Integrating sentinel watershed-systems into the monitoring and assessment of Minnesota's (USA) waters quality.

PubMed

Magner, J A; Brooks, K N

2008-03-01

Section 303(d) of the Clean Water Act requires States and Tribes to list waters not meeting water quality standards. A total maximum daily load must be prepared for waters identified as impaired with respect to water quality standards. Historically, the management of pollution in Minnesota has been focused on point-source regulation. Regulatory effort in Minnesota has improved water quality over the last three decades. Non-point source pollution has become the largest driver of conventional 303(d) listings in the 21st century. Conventional pollutants, i.e., organic, sediment and nutrient imbalances can be identified with poor land use management practices. However, the cause and effect relationship can be elusive because of natural watershed-system influences that vary with scale. Elucidation is complex because the current water quality standards in Minnesota were designed to work best with water quality permits to control point sources of pollution. This paper presents a sentinel watershed-systems approach (SWSA) to the monitoring and assessment of Minnesota waterbodies. SWSA integrates physical, chemical, and biological data over space and time using advanced technologies at selected small watersheds across Minnesota to potentially improve understanding of natural and anthropogenic watershed processes and the management of point and non-point sources of pollution. Long-term, state-of-the-art monitoring and assessment is needed to advance and improve water quality standards. Advanced water quality or ecologically-based standards that integrate physical, chemical, and biological numeric criteria offer the potential to better understand, manage, protect, and restore Minnesota's waterbodies.

Quality of HIV Testing Data Before and After the Implementation of a National Data Quality Assessment and Feedback System.

PubMed

Beltrami, John; Wang, Guoshen; Usman, Hussain R; Lin, Lillian S

In 2010, the Centers for Disease Control and Prevention (CDC) implemented a national data quality assessment and feedback system for CDC-funded HIV testing program data. Our objective was to analyze data quality before and after feedback. Coinciding with required quarterly data submissions to CDC, each health department received data quality feedback reports and a call with CDC to discuss the reports. Data from 2008 to 2011 were analyzed. Fifty-nine state and local health departments that were funded for comprehensive HIV prevention services. Data collected by a service provider in conjunction with a client receiving HIV testing. National data quality assessment and feedback system. Before and after intervention implementation, quality was assessed through the number of new test records reported and the percentage of data values that were neither missing nor invalid. Generalized estimating equations were used to assess the effect of feedback in improving the completeness of variables. Data were included from 44 health departments. The average number of new records per submission period increased from 197 907 before feedback implementation to 497 753 afterward. Completeness was high before and after feedback for race/ethnicity (99.3% vs 99.3%), current test results (99.1% vs 99.7%), prior testing and results (97.4% vs 97.7%), and receipt of results (91.4% vs 91.2%). Completeness improved for HIV risk (83.6% vs 89.5%), linkage to HIV care (56.0% vs 64.0%), referral to HIV partner services (58.9% vs 62.8%), and referral to HIV prevention services (55.3% vs 63.9%). Calls as part of feedback were associated with improved completeness for HIV risk (adjusted odds ratio [AOR] = 2.28; 95% confidence interval [CI], 1.75-2.96), linkage to HIV care (AOR = 1.60; 95% CI, 1.31-1.96), referral to HIV partner services (AOR = 1.73; 95% CI, 1.43-2.09), and referral to HIV prevention services (AOR = 1.74; 95% CI, 1.43-2.10). Feedback contributed to increased data quality. CDC and

Objective assessment of MPEG-2 video quality

NASA Astrophysics Data System (ADS)

Gastaldo, Paolo; Zunino, Rodolfo; Rovetta, Stefano

2002-07-01

The increasing use of video compression standards in broadcasting television systems has required, in recent years, the development of video quality measurements that take into account artifacts specifically caused by digital compression techniques. In this paper we present a methodology for the objective quality assessment of MPEG video streams by using circular back-propagation feedforward neural networks. Mapping neural networks can render nonlinear relationships between objective features and subjective judgments, thus avoiding any simplifying assumption on the complexity of the model. The neural network processes an instantaneous set of input values, and yields an associated estimate of perceived quality. Therefore, the neural-network approach turns objective quality assessment into adaptive modeling of subjective perception. The objective features used for the estimate are chosen according to the assessed relevance to perceived quality and are continuously extracted in real time from compressed video streams. The overall system mimics perception but does not require any analytical model of the underlying physical phenomenon. The capability to process compressed video streams represents an important advantage over existing approaches, like avoiding the stream-decoding process greatly enhances real-time performance. Experimental results confirm that the system provides satisfactory, continuous-time approximations for actual scoring curves concerning real test videos.

[Quality assessment in anesthesia].

PubMed

Kupperwasser, B

1996-01-01

Quality assessment (assurance/improvement) is the set of methods used to measure and improve the delivered care and the department's performance against pre-established criteria or standards. The four stages of the self-maintained quality assessment cycle are: problem identification, problem analysis, problem correction and evaluation of corrective actions. Quality assessment is a measurable entity for which it is necessary to define and calibrate measurement parameters (indicators) from available data gathered from the hospital anaesthesia environment. Problem identification comes from the accumulation of indicators. There are four types of quality indicators: structure, process, outcome and sentinel indicators. The latter signal a quality defect, are independent of outcomes, are easier to analyse by statistical methods and closely related to processes and main targets of quality improvement. The three types of methods to analyse the problems (indicators) are: peer review, quantitative methods and risks management techniques. Peer review is performed by qualified anaesthesiologists. To improve its validity, the review process should be explicited and conclusions based on standards of practice and literature references. The quantitative methods are statistical analyses applied to the collected data and presented in a graphic format (histogram, Pareto diagram, control charts). The risks management techniques include: a) critical incident analysis establishing an objective relationship between a 'critical' event and the associated human behaviours; b) system accident analysis, based on the fact that accidents continue to occur despite safety systems and sophisticated technologies, checks of all the process components leading to the impredictable outcome and not just the human factors; c) cause-effect diagrams facilitate the problem analysis in reducing its causes to four fundamental components (persons, regulations, equipment, process). Definition and implementation

District of Columbia Going for the Gold Tiered Rate Reimbursement System. QRS Profile. The Child Care Quality Rating System (QRS) Assessment

ERIC Educational Resources Information Center

Child Trends, 2010

2010-01-01

This paper presents a profile of District of Columbia's Going for the Gold Tiered Rate Reimbursement Systemp repared as part of the Child Care Quality Rating System (QRS) Assessment Study. The profile consists of several sections and their corresponding descriptions including: (1) Program Information; (2) Rating Details; (3) Quality Indicators for…

Standardized quality-assessment system to evaluate pressure ulcer care in the nursing home.

PubMed

Bates-Jensen, Barbara M; Cadogan, Mary; Jorge, Jennifer; Schnelle, John F

2003-09-01

To demonstrate reliability and feasibility of a standardized protocol to assess and score quality indicators relevant to pressure ulcer (PU) care processes in nursing homes (NHs). Descriptive. Eight NHs. One hundred ninety-one NH residents for whom the PU Resident Assessment Protocol of the Minimum Data Set was initiated. Nine quality indicators (two related to screening and prevention of PU, two focused on assessment, and five addressing management) were scored using medical record data, direct human observation, and wireless thigh monitor observation data. Feasibility and reliability of medical record, observation, and thigh monitor protocols were determined. The percentage of participants who passed each of the indicators, indicating care consistent with practice guidelines, ranged from 0% to 98% across all indicators. In general, participants in NHs passed fewer indicators and had more problems with medical record accuracy before a PU was detected (screening/prevention indicators) than they did once an ulcer was documented (assessment and management indicators). Reliability of the medical record protocol showed kappa statistics ranging from 0.689 to 1.00 and percentage agreement from 80% to 100%. Direct observation protocols yielded kappa statistics of 0.979 and 0.928. Thigh monitor protocols showed kappa statistics ranging from 0.609 to 0.842. Training was variable, with the observation protocol requiring 1 to 2 hours, medical records requiring joint review of 20 charts with average time to complete the review of 20 minutes, and the thigh monitor data requiring 1 week for training in data preparation and interpretation. The standardized quality assessment system generated scores for nine PU quality indicators with good reliability and provided explicit scoring rules that permit reproducible conclusions about PU care. The focus of the indicators on care processes that are under the control of NH staff made the protocol useful for external survey and internal

[Quality management and strategic consequences of assessing documentation and coding under the German Diagnostic Related Groups system].

PubMed

Schnabel, M; Mann, D; Efe, T; Schrappe, M; V Garrel, T; Gotzen, L; Schaeg, M

2004-10-01

The introduction of the German Diagnostic Related Groups (D-DRG) system requires redesigning administrative patient management strategies. Wrong coding leads to inaccurate grouping and endangers the reimbursement of treatment costs. This situation emphasizes the roles of documentation and coding as factors of economical success. The aims of this study were to assess the quantity and quality of initial documentation and coding (ICD-10 and OPS-301) and find operative strategies to improve efficiency and strategic means to ensure optimal documentation and coding quality. In a prospective study, documentation and coding quality were evaluated in a standardized way by weekly assessment. Clinical data from 1385 inpatients were processed for initial correctness and quality of documentation and coding. Principal diagnoses were found to be accurate in 82.7% of cases, inexact in 7.1%, and wrong in 10.1%. Effects on financial returns occurred in 16%. Based on these findings, an optimized, interdisciplinary, and multiprofessional workflow on medical documentation, coding, and data control was developed. Workflow incorporating regular assessment of documentation and coding quality is required by the DRG system to ensure efficient accounting of hospital services. Interdisciplinary and multiprofessional cooperation is recognized to be an important factor in establishing an efficient workflow in medical documentation and coding.

Academics' Perceptions on the Purposes of Quality Assessment

ERIC Educational Resources Information Center

Rosa, Maria J.; Sarrico, Claudia S.; Amaral, Alberto

2012-01-01

The accountability versus improvement debate is an old one. Although being traditionally considered dichotomous purposes of higher education quality assessment, some authors defend the need of balancing both in quality assessment systems. This article goes a step further and contends that not only they should be balanced but also that other…

Quality Rating and Improvement Systems: A Strategic Movement for Defining Quality

ERIC Educational Resources Information Center

Neugebauer, Roger

2009-01-01

One of the most important trends in the early childhood field is the emergence of quality rating systems (QRS), or quality rating and improvement systems (QRIS), which are designed to assess, improve, and communicate the level of quality of early and school-age care programs. QRS came onto the scene in 1998 when Oklahoma enacted its "Reaching…

Assessment of Clinical Risk Management System in Hospitals: An Approach for Quality Improvement

PubMed Central

Farokhzadian, Jamileh; Nayeri, Nahid Dehghan; Borhani, Fariba

2015-01-01

Background: Clinical risks have created major problems in healthcare system such as serious adverse effects on patient safety and enhancing the financial burden for the healthcare. Thus, clinical risk management (CRM) system has been introduced for improving the quality and safety of services to health care. The aim of this study was to assess the status of CRM in the hospitals. Methods: A cross-sectional study was conducted on 200 nursing staff from three teaching hospitals affiliated with the Kerman University of Medical Sciences in southeast of Iran. Data were collected from the participants using questionnaire and observational checklist in quality improvement offices and selected wards. The data were analyzed using SPSS version 20. Results: Almost, 57% of persons participated in at least one of training sessions on CRM. The status of CRM system was rated from weak to moderate (2.93±0.72- 3.18±0.66). Among the six domains of CRM system, the highest mean belonged to domain the monitoring of analysis, evaluation and risk control (3.18±0.72); the lowest mean belonged to domain the staff’s knowledge, recognition and understanding of CRM (2.93±0.66). There were no integrated electronic systems for recording and analyzing clinical risks and incidents in the hospitals. Conclusion: Attempts have been made to establish CRM through improvement quality approach such as clinical governance and accreditation, but not enough, however, health care should move toward quality improvement and safe practice through the effective integration of CRM in organizational process. PMID:26156927

Assessment of the Quality of Digital Terrain Model Produced from Unmanned Aerial System Imagery

NASA Astrophysics Data System (ADS)

Kosmatin Fras, M.; Kerin, A.; Mesarič, M.; Peterman, V.; Grigillo, D.

2016-06-01

Production of digital terrain model (DTM) is one of the most usual tasks when processing photogrammetric point cloud generated from Unmanned Aerial System (UAS) imagery. The quality of the DTM produced in this way depends on different factors: the quality of imagery, image orientation and camera calibration, point cloud filtering, interpolation methods etc. However, the assessment of the real quality of DTM is very important for its further use and applications. In this paper we first describe the main steps of UAS imagery acquisition and processing based on practical test field survey and data. The main focus of this paper is to present the approach to DTM quality assessment and to give a practical example on the test field data. For data processing and DTM quality assessment presented in this paper mainly the in-house developed computer programs have been used. The quality of DTM comprises its accuracy, density, and completeness. Different accuracy measures like RMSE, median, normalized median absolute deviation and their confidence interval, quantiles are computed. The completeness of the DTM is very often overlooked quality parameter, but when DTM is produced from the point cloud this should not be neglected as some areas might be very sparsely covered by points. The original density is presented with density plot or map. The completeness is presented by the map of point density and the map of distances between grid points and terrain points. The results in the test area show great potential of the DTM produced from UAS imagery, in the sense of detailed representation of the terrain as well as good height accuracy.

Hydrologic and Water Quality System (HAWQS)

EPA Science Inventory

The Hydrologic and Water Quality System (HAWQS) is a web-based interactive water quantity and quality modeling system that employs as its core modeling engine the Soil and Water Assessment Tool (SWAT), an internationally-recognized public domain model. HAWQS provides users with i...

Los Angeles County Steps to Excellence Project: QRS Profile. The Child Care Quality Rating System (QRS) Assessment

ERIC Educational Resources Information Center

Child Trends, 2010

2010-01-01

This paper presents a profile of Los Angeles County's Steps to Excellence Project prepared as part of the Child Care Quality Rating System (QRS) Assessment Study. The profile consists of several sections and their corresponding descriptions including: (1) Program Information; (2) Rating Details; (3) Quality Indicators for Center-Based Programs;…

Expert Assessment of Conditions for Accredited Quality Management System Functioning in Testing Laboratories

NASA Astrophysics Data System (ADS)

Mytych, Joanna; Ligarski, Mariusz J.

2018-03-01

The quality management systems compliant with the ISO 9001:2009 have been thoroughly researched and described in detail in the world literature. The accredited management systems used in the testing laboratories and compliant with the ISO/IEC 17025:2005 have been mainly described in terms of the system design and implementation. They have also been investigated from the analytical point of view. Unfortunately, a low number of studies concerned the management system functioning in the accredited testing laboratories. The aim of following study was to assess the management system functioning in the accredited testing laboratories in Poland. On 8 October 2015, 1,213 accredited testing laboratories were present in Poland. They investigated various scientific areas and substances/objects. There are more and more such laboratories that have various problems and different long-term experience when it comes to the implementation, maintenance and improvement of the management systems. The article describes the results of the conducted expert assessment (survey) carried out to examine the conditions for the functioning of a management system in an accredited laboratory. It also focuses on the characteristics of the accredited research laboratories in Poland. The authors discuss the selection of the external and internal conditions that may affect the accredited management system. They show how the experts assessing the selected conditions were chosen. The survey results are also presented.

[Quality control an assessment system. Its location within a program for food, nutrition and metabolic intervention].

PubMed

Santana Porbén, S

2012-01-01

A design proposal for a HQCAS Hospital Quality Control and Assessment System of the nutritional and feeding care processes conducted in a hospital environment is presented in this article. The design proposal is accompanied of the results of inspections conducted by the hospital NST Nutritional Support Group between 2005-2010. The system design includes quality policies that should rule the useful and safe conduction of such processes, the recording and documentary foundations of the System, and the quality control and assessment exercises for the continuous verification of such established policies. The current state of the conduction of these processes was documented from secondary records opened by the NST after satisfying consultation requests from the medical care teams of the institution. Inspections conducted by the NST revealed that less than half of clinical charts contained information minimally enough for elaborating nutritional judgments, almost one-fifth of the assisted patients were on Nils Per Oris, for whom no nutritional support schemes were prescribed, and a low prescription and usage of artificial nutrition schemes. Corrective measures adopted by the NST served to significantly increase the rates of successful completion of inspected processes. Quality assurance of feeding and nutritional care processes is a practical as well as an intellectual activity subjected to constant remodeling, in order to always warrant the fulfillment of quality policies advanced by the NST, and thus, that the patient benefits from the prescribed nutritional intervention strategy.

Stability assessment of QKD procedures in commercial quantum cryptography systems versus quality of dark channel

NASA Astrophysics Data System (ADS)

Jacak, Monika; Melniczuk, Damian; Jacak, Janusz; Jóźwiak, Ireneusz; Gruber, Jacek; Jóźwiak, Piotr

2015-02-01

In order to assess the susceptibility of the quantum key distribution (QKD) systems to the hacking attack including simultaneous and frequent system self-decalibrations, we analyze the stability of the QKD transmission organized in two commercially available systems. The first one employs non-entangled photons as flying qubits in the dark quantum channel for communication whereas the second one utilizes the entangled photon pairs to secretly share the cryptographic key. Applying standard methods of the statistical data analysis to the characteristic indicators of the quality of the QKD communication (the raw key exchange rate [RKER] and the quantum bit error rate [QBER]), we have estimated the pace of the self-decalibration of both systems and the repeatability rate in the case of controlled worsening of the dark channel quality.

Assessment of river quality in a subtropical Austral river system: a combined approach using benthic diatoms and macroinvertebrates

NASA Astrophysics Data System (ADS)

Nhiwatiwa, Tamuka; Dalu, Tatenda; Sithole, Tatenda

2017-12-01

River systems constitute areas of high human population densities owing to their favourable conditions for agriculture, water supply and transportation network. Despite human dependence on river systems, anthropogenic activities severely degrade water quality. The main aim of this study was to assess the river health of Ngamo River using diatom and macroinvertebrate community structure based on multivariate analyses and community metrics. Ammonia, pH, salinity, total phosphorus and temperature were found to be significantly different among the study seasons. The diatom and macroinvertebrate taxa richness increased downstream suggesting an improvement in water as we moved away from the pollution point sources. Canonical correspondence analyses identified nutrients (total nitrogen and reactive phosphorus) as important variables structuring diatom and macroinvertebrate community. The community metrics and diversity indices for both bioindicators highlighted that the water quality of the river system was very poor. These findings indicate that both methods can be used for water quality assessments, e.g. sewage and agricultural pollution, and they show high potential for use during water quality monitoring programmes in other regions.

Human Visual System-Based Fundus Image Quality Assessment of Portable Fundus Camera Photographs.

PubMed

Wang, Shaoze; Jin, Kai; Lu, Haitong; Cheng, Chuming; Ye, Juan; Qian, Dahong

2016-04-01

Telemedicine and the medical "big data" era in ophthalmology highlight the use of non-mydriatic ocular fundus photography, which has given rise to indispensable applications of portable fundus cameras. However, in the case of portable fundus photography, non-mydriatic image quality is more vulnerable to distortions, such as uneven illumination, color distortion, blur, and low contrast. Such distortions are called generic quality distortions. This paper proposes an algorithm capable of selecting images of fair generic quality that would be especially useful to assist inexperienced individuals in collecting meaningful and interpretable data with consistency. The algorithm is based on three characteristics of the human visual system--multi-channel sensation, just noticeable blur, and the contrast sensitivity function to detect illumination and color distortion, blur, and low contrast distortion, respectively. A total of 536 retinal images, 280 from proprietary databases and 256 from public databases, were graded independently by one senior and two junior ophthalmologists, such that three partial measures of quality and generic overall quality were classified into two categories. Binary classification was implemented by the support vector machine and the decision tree, and receiver operating characteristic (ROC) curves were obtained and plotted to analyze the performance of the proposed algorithm. The experimental results revealed that the generic overall quality classification achieved a sensitivity of 87.45% at a specificity of 91.66%, with an area under the ROC curve of 0.9452, indicating the value of applying the algorithm, which is based on the human vision system, to assess the image quality of non-mydriatic photography, especially for low-cost ophthalmological telemedicine applications.

Assessment of the impact of traditional septic tank soakaway systems on water quality in Ireland.

PubMed

Keegan, Mary; Kilroy, Kate; Nolan, Daniel; Dubber, Donata; Johnston, Paul M; Misstear, Bruce D R; O'Flaherty, Vincent; Barrett, Maria; Gill, Laurence W

2014-01-01

One of the key threats to groundwater and surface water quality in Ireland is the impact of poorly designed, constructed or maintained on-site wastewater treatment systems. An extensive study was carried out to quantify the impact of existing sites on water quality. Six existing sites, consisting of a traditional septic tank and soakaway system, located in various ranges of subsoil permeabilities were identified and monitored to determine how well they function under varying subsoil and weather conditions. The preliminary results of the chemical and microbiological pollutant attenuation in the subsoil of the systems have been assessed and treatment performance evaluated, as well as impact on local surface water and groundwater quality. The source of any faecal contamination detected in groundwater, nearby surface water and effluent samples was confirmed by microbial source tracking. From this, it can be seen that the transport and treatment of percolate vary greatly depending on the permeability and composition of the subsoil.

Water-Quality Assessment of the High Plains Aquifer, 1999-2004

USGS Publications Warehouse

McMahon, Peter B.; Dennehy, Kevin F.; Bruce, Breton W.; Gurdak, Jason J.; Qi, Sharon L.

2007-01-01

Water quality of the High Plains aquifer was assessed for the period 1999-2004 as part of the U.S. Geological Survey's National Water-Quality Assessment (NAWQA) Program. This effort represents the first systematic regional assessment of water quality in this nationally important aquifer. A stratified, nested group of studies was designed to assess linkages between the quality of water recharging the aquifer, the effect of transport through the hydrologic system on water quality, and the quality of the resource used for human consumption and agricultural applications. The stratified, nested design facilitated upscaling of monitoring results to unmonitored areas of the aquifer as well as upscaling of process understanding from local to regional scales.

Monitoring system for the quality assessment in additive manufacturing

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

Carl, Volker, E-mail: carl@t-zfp.de

Additive Manufacturing (AM) refers to a process by which a set of digital data -representing a certain complex 3dim design - is used to grow the respective 3dim real structure equal to the corresponding design. For the powder-based EOS manufacturing process a variety of plastic and metal materials can be used. Thereby, AM is in many aspects a very powerful tool as it can help to overcome particular limitations in conventional manufacturing. AM enables more freedom of design, complex, hollow and/or lightweight structures as well as product individualisation and functional integration. As such it is a promising approach with respectmore » to the future design and manufacturing of complex 3dim structures. On the other hand, it certainly calls for new methods and standards in view of quality assessment. In particular, when utilizing AM for the design of complex parts used in aviation and aerospace technologies, appropriate monitoring systems are mandatory. In this respect, recently, sustainable progress has been accomplished by joining the common efforts and concerns of a manufacturer Additive Manufacturing systems and respective materials (EOS), along with those of an operator of such systems (MTU Aero Engines) and experienced application engineers (Carl Metrology), using decent know how in the field of optical and infrared methods regarding non-destructive-examination (NDE). The newly developed technology is best described by a high-resolution layer by layer inspection technique, which allows for a 3D tomography-analysis of the complex part at any time during the manufacturing process. Thereby, inspection costs are kept rather low by using smart image-processing methods as well as CMOS sensors instead of infrared detectors. Moreover, results from conventional physical metallurgy may easily be correlated with the predictive results of the monitoring system which not only allows for improvements of the AM monitoring system, but finally leads to an optimisation of the

Monitoring system for the quality assessment in additive manufacturing

NASA Astrophysics Data System (ADS)

Carl, Volker

2015-03-01

Additive Manufacturing (AM) refers to a process by which a set of digital data -representing a certain complex 3dim design - is used to grow the respective 3dim real structure equal to the corresponding design. For the powder-based EOS manufacturing process a variety of plastic and metal materials can be used. Thereby, AM is in many aspects a very powerful tool as it can help to overcome particular limitations in conventional manufacturing. AM enables more freedom of design, complex, hollow and/or lightweight structures as well as product individualisation and functional integration. As such it is a promising approach with respect to the future design and manufacturing of complex 3dim structures. On the other hand, it certainly calls for new methods and standards in view of quality assessment. In particular, when utilizing AM for the design of complex parts used in aviation and aerospace technologies, appropriate monitoring systems are mandatory. In this respect, recently, sustainable progress has been accomplished by joining the common efforts and concerns of a manufacturer Additive Manufacturing systems and respective materials (EOS), along with those of an operator of such systems (MTU Aero Engines) and experienced application engineers (Carl Metrology), using decent know how in the field of optical and infrared methods regarding non-destructive-examination (NDE). The newly developed technology is best described by a high-resolution layer by layer inspection technique, which allows for a 3D tomography-analysis of the complex part at any time during the manufacturing process. Thereby, inspection costs are kept rather low by using smart image-processing methods as well as CMOS sensors instead of infrared detectors. Moreover, results from conventional physical metallurgy may easily be correlated with the predictive results of the monitoring system which not only allows for improvements of the AM monitoring system, but finally leads to an optimisation of the quality

New Mexico Look for the STARS--AIM HIGH: QRS Profile. The Child Care Quality Rating System (QRS) Assessment

ERIC Educational Resources Information Center

Child Trends, 2010

2010-01-01

This paper presents a profile of New Mexico's Look for the STARS--AIM HIGH prepared as part of the Child Care Quality Rating System (QRS) Assessment Study. The profile consists of several sections and their corresponding descriptions including: (1) Program Information; (2) Rating Details; (3) Quality Indicators for Center-Based Programs; (4)…

A suite of phantom-based test methods for assessing image quality of photoacoustic tomography systems

NASA Astrophysics Data System (ADS)

Vogt, William C.; Jia, Congxian; Wear, Keith A.; Garra, Brian S.; Pfefer, T. Joshua

2017-03-01

As Photoacoustic Tomography (PAT) matures and undergoes clinical translation, objective performance test methods are needed to facilitate device development, regulatory clearance and clinical quality assurance. For mature medical imaging modalities such as CT, MRI, and ultrasound, tissue-mimicking phantoms are frequently incorporated into consensus standards for performance testing. A well-validated set of phantom-based test methods is needed for evaluating performance characteristics of PAT systems. To this end, we have constructed phantoms using a custom tissue-mimicking material based on PVC plastisol with tunable, biologically-relevant optical and acoustic properties. Each phantom is designed to enable quantitative assessment of one or more image quality characteristics including 3D spatial resolution, spatial measurement accuracy, ultrasound/PAT co-registration, uniformity, penetration depth, geometric distortion, sensitivity, and linearity. Phantoms contained targets including high-intensity point source targets and dye-filled tubes. This suite of phantoms was used to measure the dependence of performance of a custom PAT system (equipped with four interchangeable linear array transducers of varying design) on design parameters (e.g., center frequency, bandwidth, element geometry). Phantoms also allowed comparison of image artifacts, including surface-generated clutter and bandlimited sensing artifacts. Results showed that transducer design parameters create strong variations in performance including a trade-off between resolution and penetration depth, which could be quantified with our method. This study demonstrates the utility of phantom-based image quality testing in device performance assessment, which may guide development of consensus standards for PAT systems.

Assessing Question Quality Using NLP

ERIC Educational Resources Information Center

Kopp, Kristopher J.; Johnson, Amy M.; Crossley, Scott A.; McNamara, Danielle S.

2017-01-01

An NLP algorithm was developed to assess question quality to inform feedback on questions generated by students within iSTART (an intelligent tutoring system that teaches reading strategies). A corpus of 4575 questions was coded using a four-level taxonomy. NLP indices were calculated for each question and machine learning was used to predict…

An assessment model for quality management

NASA Astrophysics Data System (ADS)

Völcker, Chr.; Cass, A.; Dorling, A.; Zilioli, P.; Secchi, P.

2002-07-01

SYNSPACE together with InterSPICE and Alenia Spazio is developing an assessment method to determine the capability of an organisation in the area of quality management. The method, sponsored by the European Space Agency (ESA), is called S9kS (SPiCE- 9000 for SPACE). S9kS is based on ISO 9001:2000 with additions from the quality standards issued by the European Committee for Space Standardization (ECSS) and ISO 15504 - Process Assessments. The result is a reference model that supports the expansion of the generic process assessment framework provided by ISO 15504 to nonsoftware areas. In order to be compliant with ISO 15504, requirements from ISO 9001 and ECSS-Q-20 and Q-20-09 have been turned into process definitions in terms of Purpose and Outcomes, supported by a list of detailed indicators such as Practices, Work Products and Work Product Characteristics. In coordination with this project, the capability dimension of ISO 15504 has been revised to be consistent with ISO 9001. As contributions from ISO 9001 and the space quality assurance standards are separable, the stripped down version S9k offers organisations in all industries an assessment model based solely on ISO 9001, and is therefore interesting to all organisations, which intend to improve their quality management system based on ISO 9001.

National Water-Quality Assessment Program: Central Arizona Basins

USGS Publications Warehouse

Cordy, Gail E.

1994-01-01

In 1991, the U.S. Geological Survey (USGS) began to implement a full-scale National Water-Quality Assessment (NAWQA) program. The long-term goals of the NAWQA program are to describe the status and trends in the quality of a large, representative part of the Nation's surface-water and ground-water resources and to provide a sound, scientific understanding of the primary natural and human factors affecting the quality of these resources. In meeting these goals, the program will produce a wealth of water-quality information that will be useful to policymakers and managers at the National, State, and local levels. Studies of 60 hydrologic systems that include parts of most major river basins and aquifer systems (study-unit investigations) are the building blocks of the national assessment. The 60 study units range in size from 1,000 to about 60,000 mi2 and represent 60 to 70 percent of the Nation's water use and population served by public water supplies. Twenty study-unit investigations were started in 1991, 20 additional studies started in 1994, and 20 more are planned to start in 1997. The Central Arizona Basins study unit began assessment activities in 1994.

Educational Quality, Outcomes Assessment, and Policy Change: The Virginia Example

ERIC Educational Resources Information Center

Culver, Steve

2010-01-01

The higher education system in the Commonwealth of Virginia in the United States provides a case model for how discussions regarding educational quality and assessment of that quality have affected institutions' policy decisions and implementation. Using Levin's (1998) policy analysis framework, this essay explores how assessment of student…

Quality of data gathered with International Caries Detection and Assessment System (ICDAS) assessment and dentists' perceptions of completion of dental records.

PubMed

Aidara, Adjaratou W; Pitts, Nigel; Markowska, Neda; Bourgeois, Denis

2011-12-01

The FDI World Dental Federation is engaged in a global consultation process to assess the potential challenges and impacts of the introduction of a preventive model to existing systems for caries management. The aims of this study were to evaluate the quality of dental disease data collected with the International Caries Detection and Assessment System (ICDAS) index and dentists' perceptions with regard to the collection of data using the 'European Global Oral Health Indicators Development' (EGOHID) survey methods, and to estimate the mean time required for completion of the dental records according to the practitioners' perceptions. The data - 2877 clinical examinations and 2877 individual assessments - were collected in 2008 using a network of 146 sentinel dentists in eight European countries. A clinical survey was completed for each participant and the dentist gave a detailed assessment of each patient investigated. This study shows that practitioners' perceptions have an impact on the mean time required to complete the dental record. Mistakes originate from dentists' attempts to simplify the completion of many boxes. This results in a larger number of missing data than of error codes. These missing data have an effect on the time required for information collection. The quality of the data collected will allow the establishment of recommendations based on this method. © 2011 FDI World Dental Federation.

Assessment of the Quality Management Models in Higher Education

ERIC Educational Resources Information Center

Basar, Gulsun; Altinay, Zehra; Dagli, Gokmen; Altinay, Fahriye

2016-01-01

This study involves the assessment of the quality management models in Higher Education by explaining the importance of quality in higher education and by examining the higher education quality assurance system practices in other countries. The qualitative study was carried out with the members of the Higher Education Planning, Evaluation,…

42 CFR 493.1239 - Standard: General laboratory systems quality assessment.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 42 Public Health 5 2011-10-01 2011-10-01 false Standard: General laboratory systems quality... for Nonwaived Testing General Laboratory Systems § 493.1239 Standard: General laboratory systems... laboratory systems requirements specified at §§ 493.1231 through 493.1236. (b) The general laboratory systems...

Assessment and the Quality of Educational Programmes: What Constitutes Evidence?

ERIC Educational Resources Information Center

Shay, Sueellen; Jawitz, Jeff

2005-01-01

In a climate of growing accountability for Higher Education, there is an increased demand on assessment to play an evaluative role. National, professional and institutional quality assurance systems expect that the assessment of student performance can be used to evaluate the quality of teachers, learners, programmes and even institutions for the…

Retinal image quality assessment based on image clarity and content

NASA Astrophysics Data System (ADS)

Abdel-Hamid, Lamiaa; El-Rafei, Ahmed; El-Ramly, Salwa; Michelson, Georg; Hornegger, Joachim

2016-09-01

Retinal image quality assessment (RIQA) is an essential step in automated screening systems to avoid misdiagnosis caused by processing poor quality retinal images. A no-reference transform-based RIQA algorithm is introduced that assesses images based on five clarity and content quality issues: sharpness, illumination, homogeneity, field definition, and content. Transform-based RIQA algorithms have the advantage of considering retinal structures while being computationally inexpensive. Wavelet-based features are proposed to evaluate the sharpness and overall illumination of the images. A retinal saturation channel is designed and used along with wavelet-based features for homogeneity assessment. The presented sharpness and illumination features are utilized to assure adequate field definition, whereas color information is used to exclude nonretinal images. Several publicly available datasets of varying quality grades are utilized to evaluate the feature sets resulting in area under the receiver operating characteristic curve above 0.99 for each of the individual feature sets. The overall quality is assessed by a classifier that uses the collective features as an input vector. The classification results show superior performance of the algorithm in comparison to other methods from literature. Moreover, the algorithm addresses efficiently and comprehensively various quality issues and is suitable for automatic screening systems.

Estimating occupant satisfaction of HVAC system noise using quality assessment index.

PubMed

Forouharmajd, Farhad; Nassiri, Parvin; Monazzam, Mohammad R; Yazdchi, Mohammadreza

2012-01-01

Noise may be defined as any unwanted sound. Sound becomes noise when it is too loud, unexpected, uncontrolled, happens at the wrong time, contains unwanted pure tones or unpleasant. In addition to being annoying, loud noise can cause hearing loss, and, depending on other factors, can affect stress level, sleep patterns and heart rate. The primary object for determining subjective estimations of loudness is to present sounds to a sample of listeners under controlled conditions. In heating, ventilation and air conditioning (HVAC) systems only the ventilation fan industry (e.g., bathroom exhaust and sidewall propeller fans) uses loudness ratings. In order to find satisfaction, percent of exposure to noise is the valuable issue for the personnel who are working in these areas. The room criterion (RC) method has been defined by ANSI standard S12.2, which is based on measured levels of in HVAC systems noise in spaces and is used primarily as a diagnostic tool. The RC method consists of a family of criteria curves and a rating procedure. RC measures background noise in the building over the frequency range of 16-4000 Hz. This rating system requires determination of the mid-frequency average level and determining the perceived balance between high-frequency (HF) sound and low-frequency (LF) sound. The arithmetic average of the sound levels in the 500, 1000 and 2000 Hz octave bands is 44.6 dB; therefore, the RC 45 curve is selected as the reference for spectrum quality evaluation. The spectral deviation factors in the LF, medium-frequency sound and HF regions are 2.9, 7.5 and -2.3, respectively, giving a Quality Assessment Index (QAI) of 9.8. This concludes the QAI is useful in estimating an occupant's probable reaction when the system design does not produce optimum sound quality. Thus, a QAI between 5 and 10 dB represents a marginal situation in which acceptance by an occupant is questionable. However, when sound pressure levels in the 16 or 31.5 Hz octave bands exceed 65

An assessment of drinking-water quality post-Haiyan.

PubMed

Magtibay, Bonifacio; Anarna, Maria Sonabel; Fernando, Arturo

2015-01-01

Access to safe drinking-water is one of the most important public health concerns in an emergency setting. This descriptive study reports on an assessment of water quality in drinking-water supply systems in areas affected by Typhoon Haiyan immediately following and 10 months after the typhoon. Water quality testing and risk assessments of the drinking-water systems were conducted three weeks and 10 months post-Haiyan. Portable test kits were used to determine the presence of Escherichia coli and the level of residual chlorine in water samples. The level of risk was fed back to the water operators for their action. Of the 121 water samples collected three weeks post-Haiyan, 44% were contaminated, while 65% (244/373) of samples were found positive for E. coli 10 months post-Haiyan. For the three components of drinking-water systems - source, storage and distribution - the proportions of contaminated systems were 70%, 67% and 57%, respectively, 10 months after Haiyan. Vulnerability to faecal contamination was attributed to weak water safety programmes in the drinking-water supply systems. Poor water quality can be prevented or reduced by developing and implementing a water safety plan for the systems. This, in turn, will help prevent waterborne disease outbreaks caused by contaminated water post-disaster.

Compendium of Quality Rating Systems and Evaluations: The Child Care Quality Rating System (QRS) Assessment

ERIC Educational Resources Information Center

Tout, Kathryn; Starr, Rebecca; Soli, Margaret; Moodie, Shannon; Kirby, Gretchen; Boller, Kimberly

2010-01-01

Quality Rating Systems (QRS) are currently operating, under development, or being piloted in over 25 states or local areas. As the QRS model becomes integrated into the landscape of child care and education service delivery, policy, and the decisions parents make about child care across the United States, there is an increasing need for…

Assessment of data quality and reporting systems for underserved populations: the case of integrated community case management programs in Nigeria.

PubMed

Nyangara, Florence M; Hai, Tajrina; Zalisk, Kirsten; Ozor, Lynda; Ufere, Joy; Isiguzo, Chinwoke; Abubakar, Ibrahim Ndaliman

2018-05-01

Decision makers are searching for reliable data and best practices to support the implementation and scale-up of the integrated community case management (iCCM) programs in underserved areas to reduce under-five mortality in low-income countries. This study assesses data quality and reporting systems of the World Health Organization supported Rapid Access Expansion program implementing iCCM in Abia and Niger States, Nigeria. This cross-sectional study used data from 16 primary health facilities in both states. Data were collected through review of registers and monthly summary reports of 140 community-oriented resource persons (CORPs), assessments of the five dimensions of the data reporting systems and 46 key informant interviews with stakeholders. Data quality was assessed by availability, completeness and consistency. Each component of the reporting system was assessed on a 3-point scale (weak, satisfactory and strong). Results show that both the structure, functions and capabilities, as well as data collection and reporting tools dimensions of the reporting system were strong, scoring (2.80, 2.73) for Abia and (2.88, 2.75) for Niger, respectively. Data management processes and links with national reporting system components scored low 2 s, indicating fair strength. Data availability, completeness and consistency were found to be good, an indication of adequate training and supervision of CORPs and community health extension workers. Indicator definitions and reporting guidelines were the weakest dimension of the system due to lack of data reporting guidelines in both states. In conclusion, the results indicate satisfactory data reporting systems and good quality data during early implementation of iCCM programs in the two states. Hence, countries planning to adopt and implement iCCM programs should first develop structures, establish national standardized tools for collecting and reporting data, provide for adequate training and supervision of community

Sediment quality triad assessment survey of the Galveston Bay, Texas system

USGS Publications Warehouse

Carr, R. Scott; Chapman, Duane C.; Howard, Cynthia L.; Biedenbach, James M.

1996-01-01

To characterize the quality of sediments at key sites in the Galveston Bay Estuary, sediment samples were collected concurrently for chemical and physical analyses, toxicity testing and an assessment of benthic community structure. Significant toxicity, as determined by the sea urchin (Arbacia punetulata) pore water embryological development assay, was observed at 12 of the 24 sites investigated in this study. No toxicity was observed at any of the sites with the amphipod (Grandidierella japonica) solid-phase test. There were a number of sites with elevated levels of trace metals and petroleum hydrocarbons. The chemistry, toxicity and benthic data were ranked by station and a scaled rank sum was calculated to facilitate comparisons among the stations. Five sites exhibited strong evidence of contaminant-induced degradation, while 15 stations showed no evidence of contaminant-induced degradation. At eight additional sites the sediment quality triad (SQT) data indicated that unmeasured chemicals or conditions were stressing the system. Contaminant impacts could be reduced or eliminated by alternative regulatory and management practices, including the restriction of produced water discharges into coastal estuaries and the use of dredge material disposal practices that minimize the reintroduction of sediment-associated contaminants to the bays.

Orion Entry Handling Qualities Assessments

NASA Technical Reports Server (NTRS)

Bihari, B.; Tiggers, M.; Strahan, A.; Gonzalez, R.; Sullivan, K.; Stephens, J. P.; Hart, J.; Law, H., III; Bilimoria, K.; Bailey, R.

2011-01-01

The Orion Command Module (CM) is a capsule designed to bring crew back from the International Space Station (ISS), the moon and beyond. The atmospheric entry portion of the flight is deigned to be flown in autopilot mode for nominal situations. However, there exists the possibility for the crew to take over manual control in off-nominal situations. In these instances, the spacecraft must meet specific handling qualities criteria. To address these criteria two separate assessments of the Orion CM s entry Handling Qualities (HQ) were conducted at NASA s Johnson Space Center (JSC) using the Cooper-Harper scale (Cooper & Harper, 1969). These assessments were conducted in the summers of 2008 and 2010 using the Advanced NASA Technology Architecture for Exploration Studies (ANTARES) six degree of freedom, high fidelity Guidance, Navigation, and Control (GN&C) simulation. This paper will address the specifics of the handling qualities criteria, the vehicle configuration, the scenarios flown, the simulation background and setup, crew interfaces and displays, piloting techniques, ratings and crew comments, pre- and post-fight briefings, lessons learned and changes made to improve the overall system performance. The data collection tools, methods, data reduction and output reports will also be discussed. The objective of the 2008 entry HQ assessment was to evaluate the handling qualities of the CM during a lunar skip return. A lunar skip entry case was selected because it was considered the most demanding of all bank control scenarios. Even though skip entry is not planned to be flown manually, it was hypothesized that if a pilot could fly the harder skip entry case, then they could also fly a simpler loads managed or ballistic (constant bank rate command) entry scenario. In addition, with the evaluation set-up of multiple tasks within the entry case, handling qualities ratings collected in the evaluation could be used to assess other scenarios such as the constant bank angle

The Northeast Stream Quality Assessment

USGS Publications Warehouse

Van Metre, Peter C.; Riva-Murray, Karen; Coles, James F.

2016-04-22

In 2016, the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) is assessing stream quality in the northeastern United States. The goal of the Northeast Stream Quality Assessment (NESQA) is to assess the quality of streams in the region by characterizing multiple water-quality factors that are stressors to aquatic life and evaluating the relation between these stressors and biological communities. The focus of NESQA in 2016 will be on the effects of urbanization and agriculture on stream quality in all or parts of eight states: Connecticut, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, and Vermont.Findings will provide the public and policymakers with information about the most critical factors affecting stream quality, thus providing insights about possible approaches to protect the health of streams in the region. The NESQA study will be the fourth regional study conducted as part of NAWQA and will be of similar design and scope to the first three, in the Midwest in 2013, the Southeast in 2014, and the Pacific Northwest in 2015 (http://txpub.usgs.gov/RSQA/).

Assessment of efficiency of functioning the infocommunication systems a special purpose in the conditions of violation quality of relevance information

NASA Astrophysics Data System (ADS)

Parinov, A. V.; Korotkikh, L. P.; Desyatov, D. B.; Stepanov, L. V.

2018-03-01

The uniqueness of information processing mechanisms in special-purpose infocommunication systems and the increased interest of intruders lead to an increase in the relevance of the problems associated with their protection. The paper considers the issues of building risk-models for the violation of the relevance and value of information in infocommunication systems for special purposes. Also, special attention is paid to the connection between the qualities of relevance and the value of information obtained as a result of the operation of infocommunication systems for special purposes. Analytical expressions for the risk and damage function in the time range in special-purpose infocommunication systems are obtained, which can serve as a mathematical basis for risk assessment. Further, an analytical expression is obtained to assess the chance of obtaining up-to-date information in the operation of infocommunication systems up to the time the information quality is violated. An analytical expression for estimating the chance can be used to calculate the effectiveness of a special-purpose infocommunication system.

A Global Assessment on Climate Research Engaging Indigenous Knowledge Systems and Recommendations for Quality Standards of Research Practice in Indigenous Communities

NASA Astrophysics Data System (ADS)

Davíd-Chavez, D. M.; Gavin, M. C.

2017-12-01

Indigenous communities worldwide have maintained their own knowledge systems for millennia informed through careful observation of dynamics of environmental changes. Withstanding centuries of challenges to their rights to maintain and practice these knowledge systems, Indigenous peoples continually speak to a need for quality standards for research in their communities. Although, international and Indigenous peoples' working groups emphasize Indigenous knowledge systems and the communities who hold them as critical resources for understanding and adapting to climate change, there has yet to be a comprehensive, evidence based analysis into how diverse knowledge systems are integrated in scientific studies. Do current research practices challenge or support Indigenous communities in their efforts to maintain and appropriately apply their knowledge systems? This study addresses this question using a systematic literature review and meta-analysis assessing levels of Indigenous community participation and decision-making in all stages of the research process (initiation, design, implementation, analysis, dissemination). Assessment is based on reported quality indicators such as: outputs that serve the community, ethical guidelines in practice (free, prior, and informed consent and intellectual property rights), and community access to findings. These indicators serve to identify patterns between levels of community participation and quality standards in practice. Meta-analysis indicates most climate studies practice an extractive model in which Indigenous knowledge systems are co-opted with minimal participation or decision-making authority from communities who hold them. Few studies report outputs that directly serve Indigenous communities, ethical guidelines in practice, or community access to findings. Studies reporting the most quality indicators were initiated in mutual agreement between Indigenous communities and outside researchers or by communities themselves

Assessing the quality of cost management

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

Fayne, V.; McAllister, A.; Weiner, S.B.

1995-12-31

Managing environmental programs can be effective only when good cost and cost-related management practices are developed and implemented. The Department of Energy`s Office of Environmental Management (EM), recognizing this key role of cost management, initiated several cost and cost-related management activities including the Cost Quality Management (CQM) Program. The CQM Program includes an assessment activity, Cost Quality Management Assessments (CQMAs), and a technical assistance effort to improve program/project cost effectiveness. CQMAs provide a tool for establishing a baseline of cost-management practices and for measuring improvement in those practices. The result of the CQMA program is an organization that has anmore » increasing cost-consciousness, improved cost-management skills and abilities, and a commitment to respond to the public`s concerns for both a safe environment and prudent budget outlays. The CQMA program is part of the foundation of quality management practices in DOE. The CQMA process has contributed to better cost and cost-related management practices by providing measurements and feedback; defining the components of a quality cost-management system; and helping sites develop/improve specific cost-management techniques and methods.« less

An assessment of drinking-water quality post-Haiyan

PubMed Central

Anarna, Maria Sonabel; Fernando, Arturo

2015-01-01

Introduction Access to safe drinking-water is one of the most important public health concerns in an emergency setting. This descriptive study reports on an assessment of water quality in drinking-water supply systems in areas affected by Typhoon Haiyan immediately following and 10 months after the typhoon. Methods Water quality testing and risk assessments of the drinking-water systems were conducted three weeks and 10 months post-Haiyan. Portable test kits were used to determine the presence of Escherichia coli and the level of residual chlorine in water samples. The level of risk was fed back to the water operators for their action. Results Of the 121 water samples collected three weeks post-Haiyan, 44% were contaminated, while 65% (244/373) of samples were found positive for E. coli 10 months post-Haiyan. For the three components of drinking-water systems – source, storage and distribution – the proportions of contaminated systems were 70%, 67% and 57%, respectively, 10 months after Haiyan. Discussion Vulnerability to faecal contamination was attributed to weak water safety programmes in the drinking-water supply systems. Poor water quality can be prevented or reduced by developing and implementing a water safety plan for the systems. This, in turn, will help prevent waterborne disease outbreaks caused by contaminated water post-disaster. PMID:26767136

Quality Rating Systems--The Experiences of Center Directors

ERIC Educational Resources Information Center

Friedman, Dana E.

2007-01-01

Quality Rating System (QRS) initiatives define levels of quality based on research and then support providers with funding and technical assistance to increase their quality. Each program is assessed and given a number of "stars" to indicate to parents what level of quality the program has reached. In this article, the author describes…

42 CFR 431.832 - Reporting requirements for claims processing assessment systems.

Code of Federal Regulations, 2010 CFR

2010-10-01

... assessment systems. 431.832 Section 431.832 Public Health CENTERS FOR MEDICARE & MEDICAID SERVICES... GENERAL ADMINISTRATION Quality Control Medicaid Quality Control (mqc) Claims Processing Assessment System § 431.832 Reporting requirements for claims processing assessment systems. (a) The agency must submit...

Assessment of density in enriched colony cages: Egg quality

USDA-ARS?s Scientific Manuscript database

Enriched colony cage production systems are becoming more prevalent in the US. A study was undertaken to determine the impact of housing density on hen health, well-being, egg production and quality. Six densities were examined with 8 housing replicates per density. Egg quality was assessed at hen a...

Assessment and prediction of air quality using fuzzy logic and autoregressive models

NASA Astrophysics Data System (ADS)

Carbajal-Hernández, José Juan; Sánchez-Fernández, Luis P.; Carrasco-Ochoa, Jesús A.; Martínez-Trinidad, José Fco.

2012-12-01

In recent years, artificial intelligence methods have been used for the treatment of environmental problems. This work, presents two models for assessment and prediction of air quality. First, we develop a new computational model for air quality assessment in order to evaluate toxic compounds that can harm sensitive people in urban areas, affecting their normal activities. In this model we propose to use a Sigma operator to statistically asses air quality parameters using their historical data information and determining their negative impact in air quality based on toxicity limits, frequency average and deviations of toxicological tests. We also introduce a fuzzy inference system to perform parameter classification using a reasoning process and integrating them in an air quality index describing the pollution levels in five stages: excellent, good, regular, bad and danger, respectively. The second model proposed in this work predicts air quality concentrations using an autoregressive model, providing a predicted air quality index based on the fuzzy inference system previously developed. Using data from Mexico City Atmospheric Monitoring System, we perform a comparison among air quality indices developed for environmental agencies and similar models. Our results show that our models are an appropriate tool for assessing site pollution and for providing guidance to improve contingency actions in urban areas.

Quality Improvement Awards and Vocational Education Assessment. ERIC Digest No. 182.

ERIC Educational Resources Information Center

Brown, Bettina Lankard

Quality system awards offer blueprints for assessing quality in vocational education as well as in business and industry. The three most prestigious awards recognizing quality improvement in business and industry are the Malcolm Baldrige Quality Award, Deming Application Prize, and ISO 9000 Registration. When comparing standards for the quality…

The California stream quality assessment

USGS Publications Warehouse

Van Metre, Peter C.; Egler, Amanda L.; May, Jason T.

2017-03-06

In 2017, the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) project is assessing stream quality in coastal California, United States. The USGS California Stream Quality Assessment (CSQA) will sample streams over most of the Central California Foothills and Coastal Mountains ecoregion (modified from Griffith and others, 2016), where rapid urban growth and intensive agriculture in the larger river valleys are raising concerns that stream health is being degraded. Findings will provide the public and policy-makers with information regarding which human and natural factors are the most critical in affecting stream quality and, thus, provide insights about possible approaches to protect the health of streams in the region.

State-Level Cancer Quality Assessment and Research

PubMed Central

Lipscomb, Joseph; Gillespie, Theresa W.

2016-01-01

Over a decade ago, the Institute of Medicine called for a national cancer data system in the United States to support quality-of-care assessment and improvement, including research on effective interventions. Although considerable progress has been achieved in cancer quality measurement and effectiveness research, the nation still lacks a population-based data infrastructure for accurately identifying cancer patients and tracking services and outcomes over time. For compelling reasons, the most effective pathway forward may be the development of state-level cancer data systems, in which central registry data are linked to multiple public and private secondary sources. These would include administrative/claims files from Medicare, Medicaid, and private insurers. Moreover, such a state-level system would promote rapid learning by encouraging adoption of near-real-time reporting and feedback systems, such as the Commission on Cancer’s new Rapid Quality Reporting System. The groundwork for such a system is being laid in the state of Georgia, and similar work is advancing in other states. The pace of progress depends on the successful resolution of issues related to the application of information technology, financing, and governance. PMID:21799333

Assessing the quality of healthcare provided to children.

PubMed

Mangione-Smith, R; McGlynn, E A

1998-10-01

To present a conceptual framework for evaluating quality of care for children and adolescents, summarize the key issues related to developing measures to assess pediatric quality of care, examine some existing measures, and present evidence about their current level of performance. Assessing the quality of care for children poses many challenges not encountered when making these measurements in the adult population. Children and adolescents (from this point forward referred to collectively as children unless differentiation is necessary) differ from adults in two clinically important ways (Jameson and Wehr 1993): (1) their normal developmental trajectory is characterized by change, and (2) they have differential morbidity. These factors contribute to the limitations encountered when developing measures to assess the quality of care for children. The movement of a child through the various stages of development makes it difficult to establish what constitutes a "normal" outcome and by extension what constitutes a poor outcome. Additionally, salient developmental outcomes that result from poor quality of care may not be observed for several years. This implies that poor outcomes may be observed when the child is receiving care from a delivery system other than the one that provided the low-quality care. Attributing the suboptimal outcome to the new delivery system would be inappropriate. Differential morbidity refers to the fact that the type, prevalence, and severity of illness experienced by children is measurably different from that observed in adults. Most children experience numerous self-limited illness of mild severity. A minority of children suffer from markedly more severe diseases. Thus, condition-specific measures in children are problematic to implement for routine assessments because of the extremely low incidence and prevalence of most severe pediatric diseases (Halfon 1996). However, children with these conditions are potentially the segment of the

42 CFR 431.834 - Access to records: Claims processing assessment systems.

Code of Federal Regulations, 2010 CFR

2010-10-01

... ADMINISTRATION Quality Control Medicaid Quality Control (mqc) Claims Processing Assessment System § 431.834 Access to records: Claims processing assessment systems. The agency, upon written request, must provide HHS staff with access to all records pertaining to its MQC claims processing assessment system reviews...

An annual assessment of air quality with the CALIOPE modeling system over Spain.

PubMed

Baldasano, J M; Pay, M T; Jorba, O; Gassó, S; Jiménez-Guerrero, P

2011-05-01

The CALIOPE project, funded by the Spanish Ministry of the Environment, aims at establishing an air quality forecasting system for Spain. With this goal, CALIOPE modeling system was developed and applied with high resolution (4km×4km, 1h) using the HERMES emission model (including emissions of resuspended particles from paved roads) specifically built up for Spain. The present study provides an evaluation and the assessment of the modeling system, coupling WRF-ARW/HERMES/CMAQ/BSC-DREAM8b for a full-year simulation in 2004 over Spain. The evaluation focuses on the capability of the model to reproduce the temporal and spatial distribution of gas phase species (NO(2), O(3), and SO(2)) and particulate matter (PM10) against ground-based measurements from the Spanish air quality monitoring network. The evaluation of the modeling results on an hourly basis shows a strong dependency of the performance of the model on the type of environment (urban, suburban and rural) and the dominant emission sources (traffic, industrial, and background). The O(3) chemistry is best represented in summer, when mean hourly variability and high peaks are generally well reproduced. The mean normalized error and bias meet the recommendations proposed by the United States Environmental Protection Agency (US-EPA) and the European regulations. Modeled O(3) shows higher performance for urban than for rural stations, especially at traffic stations in large cities, since stations influenced by traffic emissions (i.e., high-NO(x) environments) are better characterized with a more pronounced daily variability. NO(x)/O(3) chemistry is better represented under non-limited-NO(2) regimes. SO(2) is mainly produced from isolated point sources (power generation and transformation industries) which generate large plumes of high SO(2) concentration affecting the air quality on a local to national scale where the meteorological pattern is crucial. The contribution of mineral dust from the Sahara desert through

Water-quality assessment of the Cambrian-Ordovician aquifer system in the northern Midwest, United States

USGS Publications Warehouse

Wilson, John T.

2012-01-01

This report provides a regional assessment of groundwater quality of the Cambrian-Ordovician aquifer system, based primarily on raw water samples collected by the NAWQA Program during 1995 through 2007. The NAWQA Program has published findings in local study-unit reports encompassing parts of the Cambrian-Ordovician aquifer system. Data collected from the aquifer system were used in national synthesis reports on selected topics such as specific water-quality constituent classes, well type, or aquifer material; however, a synthesis of groundwater quality at the principal aquifer scale has not been completed and is therefore the major purpose of this report. Water samples collected by the NAWQA Program were analyzed for various classes of characteristics including physical properties, major ions, trace elements, nutrients and dissolved organic carbon, radionuclides (tritium, radon, and radium), pesticides, and volatile organic compounds. Subsequent sections of this report provide discussions on these classes of characteristics. The assessment objectives of this report are to (1) summarize constituent concentrations and compare them to human-health benchmarks and non-health guidelines; (2) determine the geographic distribution of constituent concentrations and relate them to various factors such as confining conditions, well type, land use, and groundwater age; and (3) evaluate near-decadal-scale changes in nitrate concentrations and pesticide detections. The most recent sample collected from each well by the NAWQA Program was used for most analyses. Near-decadal-scale changes in nitrate concentrations and pesticide detections were evaluated for selected well networks by using the most recent sample from each well and comparing it to the results from a sample collected 7 or 11 years earlier. Because some of the NAWQA well networks provide a limited areal coverage of the aquifer system, data for raw water samples from other USGS sources and state agencies were included

Rapid Training System Self-Assessment

ERIC Educational Resources Information Center

Flesher, Jeff

2007-01-01

A systematic self-assessment mirrors quality system and certification models, thus making a strong argument for high-quality design, control, and management of the training function. Accomplished for the ongoing betterment of the function, not as a summative judgment of conformance, it discovers strengths and weaknesses and results in a common…

[Assessment of the quality of laboratory diagnosis of intestinal parasitic diseases by the laboratories participating in the Federal System of External Quality Assessment of Clinical Laboratory Testing].

PubMed

Malakhov, V N; Dovgalev, A S; Astanina, S Iu; Serdiuk, A P

2014-01-01

In 2010-2013, the quality of microscopic detection of the causative agents ofparasitic diseases in the feces has been assessed by the specialists of the laboratories of the therapeutic-and-prophylactic institutions (TPIs) and Hygiene and Epidemiology Centers, Russian Inspectorate for the Protection of Consumer Rights and Human Welfare, which are participants of the Federal System of External Quality Assessment of Clinical Laboratory Testing. Thirty-two specimens containing 16 species of human helminths and 4 species of enteric protozoa in different combinations were examined. The findings suggest that the quality of microscopic detection of the causative agents of parasitic diseases is low in the laboratories of health care facilities and that the specialists of the laboratories of TPIs and Hygiene and Epidemiology Centers, Russian Inspectorate for the Protection of Consumer Rights and Human Welfare, do not not possess the knowledge and skills necessary to make a laboratory diagnosis of helminths and enteric protozoa. The average detection rates of helminths and protozoa were at a level of 64 and 36%, respectively. The correct results showed that the proportion of helminths and protozoa were 94.5 and 5.5%, respectively. According to the biological and epidemiological classification of helminths, there were higher detection rates for contact group parasites (Enterobius vermicularis and Hymenolepis nana) and geohelminths (Ascaris, Trichuris trichiura, and others). Biohelminths (Opisthorchis, tapeworms, and others) Were detectable slightly worse.

A Web-Based Decision Support System for Assessing Regional Water-Quality Conditions and Management Actions

NASA Astrophysics Data System (ADS)

Booth, N. L.; Everman, E.; Kuo, I.; Sprague, L.; Murphy, L.

2011-12-01

A new web-based decision support system has been developed as part of the U.S. Geological Survey (USGS) National Water Quality Assessment Program's (NAWQA) effort to provide ready access to Spatially Referenced Regressions On Watershed attributes (SPARROW) results of stream water-quality conditions and to offer sophisticated scenario testing capabilities for research and water-quality planning via an intuitive graphical user interface with a map-based display. The SPARROW Decision Support System (DSS) is delivered through a web browser over an Internet connection, making it widely accessible to the public in a format that allows users to easily display water-quality conditions, distribution of nutrient sources, nutrient delivery to downstream waterbodies, and simulations of altered nutrient inputs including atmospheric and agricultural sources. The DSS offers other features for analysis including various background map layers, model output exports, and the ability to save and share prediction scenarios. SPARROW models currently supported by the DSS are based on the modified digital versions of the 1:500,000-scale River Reach File (RF1) and 1:100,000-scale National Hydrography Dataset (medium-resolution, NHDPlus) stream networks. The underlying modeling framework and server infrastructure illustrate innovations in the information technology and geosciences fields for delivering SPARROW model predictions over the web by performing intensive model computations and map visualizations of the predicted conditions within the stream network.

Photovoltaic Impact Assessment of Smart Inverter Volt-VAR Control on Distribution System Conservation Voltage Reduction and Power Quality

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

Ding, Fei; Nagarajan, Adarsh; Chakraborty, Sudipta

This report presents an impact assessment study of distributed photovoltaic (PV) with smart inverter Volt-VAR control on conservation voltage reduction (CVR) energy savings and distribution system power quality. CVR is a methodology of flattening and lowering a distribution system voltage profile in order to conserve energy. Traditional CVR relies on operating utility voltage regulators and switched capacitors. However, with the increased penetration of distributed PV systems, smart inverters provide the new opportunity to control local voltage and power factor by regulating the reactive power output, leading to a potential increase in CVR energy savings. This report proposes a methodology tomore » implement CVR scheme by operating voltage regulators, capacitors, and autonomous smart inverter Volt-VAR control in order to achieve increased CVR benefit. Power quality is an important consideration when operating a distribution system, especially when implementing CVR. It is easy to measure the individual components that make up power quality, but a comprehensive method to incorporate all of these values into a single score has yet to be undertaken. As a result, this report proposes a power quality scoring mechanism to measure the relative power quality of distribution systems using a single number, which is aptly named the 'power quality score' (PQS). Both the CVR and PQS methodologies were applied to two distribution system models, one obtained from the Hawaiian Electric Company (HECO) and another obtained from Pacific Gas and Electric (PG&E). These two models were converted to the OpenDSS platform using previous model conversion tools that were developed by NREL. Multiple scenarios including various PV penetration levels and smart inverter densities were simulated to analyze the impact of smart inverter Volt-VAR support on CVR energy savings and feeder power quality. In order to analyze the CVR benefit and PQS, an annual simulation was conducted for each scenario.« less

Informational system as an instrument for assessing the performance of the quality management system

NASA Astrophysics Data System (ADS)

Rohan, R.; Roşu, M. M.

2017-08-01

At present there is used a significant number of techniques and methods for diagnosis and management analysis which support the decision-making process. All these methods facilitate reaching the objectives for improving the results through efficiency, quality and customer satisfaction. By developing a methodology for analysing the problems identified in the macro-productive companies there can be brought outstanding benefits to the management and there are offered new perspectives on the critical influencing factors within a system. Through this paper we present an effective management strategy, applicable to an organization with productive profile in order to design an informational system aimed to manage one of its most important and complex systems, namely the coordination of the quality management system. The informational organisation of the quality management system on management principles, ensures an optimization of the informational energy consumption, allowing the management to deal with the following: to ascertain the current situation; to seize the opportunities, but also the potential risks afferent to the organisation policy; to observe the strengths and weaknesses; to take appropriate decisions and then to control the effects obtained. In this way, the decisional factors are able to better understand the available opportunities and to base more efficiently the process of choosing the alternatives.

Synthesized view comparison method for no-reference 3D image quality assessment

NASA Astrophysics Data System (ADS)

Luo, Fangzhou; Lin, Chaoyi; Gu, Xiaodong; Ma, Xiaojun

2018-04-01

We develop a no-reference image quality assessment metric to evaluate the quality of synthesized view rendered from the Multi-view Video plus Depth (MVD) format. Our metric is named Synthesized View Comparison (SVC), which is designed for real-time quality monitoring at the receiver side in a 3D-TV system. The metric utilizes the virtual views in the middle which are warped from left and right views by Depth-image-based rendering algorithm (DIBR), and compares the difference between the virtual views rendered from different cameras by Structural SIMilarity (SSIM), a popular 2D full-reference image quality assessment metric. The experimental results indicate that our no-reference quality assessment metric for the synthesized images has competitive prediction performance compared with some classic full-reference image quality assessment metrics.

Quality Rating and Improvement System State Evaluations and Research

ERIC Educational Resources Information Center

Ferguson, Daniel

2016-01-01

A quality rating and improvement system (QRIS) is a method used by states and local jurisdictions to assess the level of quality of child care and early education programs, improve quality, and convey quality ratings to parents and other consumers. A typical QRIS incorporates the following components: quality standards for participating providers;…

Guidance on Data Quality Assessment for Life Cycle Inventory ...

EPA Pesticide Factsheets

Data quality within Life Cycle Assessment (LCA) is a significant issue for the future support and development of LCA as a decision support tool and its wider adoption within industry. In response to current data quality standards such as the ISO 14000 series, various entities within the LCA community have developed different methodologies to address and communicate the data quality of Life Cycle Inventory (LCI) data. Despite advances in this field, the LCA community is still plagued by the lack of reproducible data quality results and documentation. To address these issues, US EPA has created this guidance in order to further support reproducible life cycle inventory data quality results and to inform users of the proper application of the US EPA supported data quality system. The work for this report was begun in December 2014 and completed as of April 2016.The updated data quality system includes a novel approach to the pedigree matrix by addressing data quality at the flow and the process level. Flow level indicators address source reliability, temporal correlation, geographic correlation, technological correlation and data sampling methods. The process level indicators address the level of review the unit process has undergone and its completeness. This guidance is designed to be updatable as part of the LCA Research Center’s continuing commitment to data quality advancements. Life cycle assessment is increasingly being used as a tool to identify areas of

Toward utilization of data for program management and evaluation: quality assessment of five years of health management information system data in Rwanda.

PubMed

Nisingizwe, Marie Paul; Iyer, Hari S; Gashayija, Modeste; Hirschhorn, Lisa R; Amoroso, Cheryl; Wilson, Randy; Rubyutsa, Eric; Gaju, Eric; Basinga, Paulin; Muhire, Andrew; Binagwaho, Agnès; Hedt-Gauthier, Bethany

2014-01-01

Health data can be useful for effective service delivery, decision making, and evaluating existing programs in order to maintain high quality of healthcare. Studies have shown variability in data quality from national health management information systems (HMISs) in sub-Saharan Africa which threatens utility of these data as a tool to improve health systems. The purpose of this study is to assess the quality of Rwanda's HMIS data over a 5-year period. The World Health Organization (WHO) data quality report card framework was used to assess the quality of HMIS data captured from 2008 to 2012 and is a census of all 495 publicly funded health facilities in Rwanda. Factors assessed included completeness and internal consistency of 10 indicators selected based on WHO recommendations and priority areas for the Rwanda national health sector. Completeness was measured as percentage of non-missing reports. Consistency was measured as the absence of extreme outliers, internal consistency between related indicators, and consistency of indicators over time. These assessments were done at the district and national level. Nationally, the average monthly district reporting completeness rate was 98% across 10 key indicators from 2008 to 2012. Completeness of indicator data increased over time: 2008, 88%; 2009, 91%; 2010, 89%; 2011, 90%; and 2012, 95% (p<0.0001). Comparing 2011 and 2012 health events to the mean of the three preceding years, service output increased from 3% (2011) to 9% (2012). Eighty-three percent of districts reported ratios between related indicators (ANC/DTP1, DTP1/DTP3) consistent with HMIS national ratios. Conclusion and policy implications: Our findings suggest that HMIS data quality in Rwanda has been improving over time. We recommend maintaining these assessments to identify remaining gaps in data quality and that results are shared publicly to support increased use of HMIS data.

Toward utilization of data for program management and evaluation: quality assessment of five years of health management information system data in Rwanda

PubMed Central

Nisingizwe, Marie Paul; Iyer, Hari S.; Gashayija, Modeste; Hirschhorn, Lisa R.; Amoroso, Cheryl; Wilson, Randy; Rubyutsa, Eric; Gaju, Eric; Basinga, Paulin; Muhire, Andrew; Binagwaho, Agnès; Hedt-Gauthier, Bethany

2014-01-01

Background Health data can be useful for effective service delivery, decision making, and evaluating existing programs in order to maintain high quality of healthcare. Studies have shown variability in data quality from national health management information systems (HMISs) in sub-Saharan Africa which threatens utility of these data as a tool to improve health systems. The purpose of this study is to assess the quality of Rwanda's HMIS data over a 5-year period. Methods The World Health Organization (WHO) data quality report card framework was used to assess the quality of HMIS data captured from 2008 to 2012 and is a census of all 495 publicly funded health facilities in Rwanda. Factors assessed included completeness and internal consistency of 10 indicators selected based on WHO recommendations and priority areas for the Rwanda national health sector. Completeness was measured as percentage of non-missing reports. Consistency was measured as the absence of extreme outliers, internal consistency between related indicators, and consistency of indicators over time. These assessments were done at the district and national level. Results Nationally, the average monthly district reporting completeness rate was 98% across 10 key indicators from 2008 to 2012. Completeness of indicator data increased over time: 2008, 88%; 2009, 91%; 2010, 89%; 2011, 90%; and 2012, 95% (p<0.0001). Comparing 2011 and 2012 health events to the mean of the three preceding years, service output increased from 3% (2011) to 9% (2012). Eighty-three percent of districts reported ratios between related indicators (ANC/DTP1, DTP1/DTP3) consistent with HMIS national ratios. Conclusion and policy implications Our findings suggest that HMIS data quality in Rwanda has been improving over time. We recommend maintaining these assessments to identify remaining gaps in data quality and that results are shared publicly to support increased use of HMIS data. PMID:25413722

National Water-Quality Assessment Program; the Allegheny-Monongahela River Basin

USGS Publications Warehouse

McAuley, Steven D.

1995-01-01

In 1991, the U.S. Geological Survey (USGS) began a National Water-Quality Assessment (NAWQA) program. The three major objectives of the NAWQA program are to provide a consistent description of current water-quality conditions for a large part of the Nation's water resources, define long-term trends in water quality, and identify, describe, and explain the major factors that affect water-quality conditions and trends. The program produces water-quality information that is useful to policy makers and managers at the National, State, and local levels.The program will be implemented through 60 separate investigations of river basins and aquifer systems called study units. These study-unit investigations will be conducted at the State and local level and will form the foundation on which national- and regional-level assessments are based. The 60 study units are hydrologic systems that include parts of most major river basins and aquifer systems. The study-unit areas range from 1,000 to more than 60,000 square miles and include about 60 to 70 percent of the Nation's water use and population served by public water supplies. Twenty studyunit investigations were started in 1991, 20 started in 1994, and 20 more are planned to start in 1997. The Allegheny-Monongahela River Basin was selected to begin assessment activities as a NAWQA study unit in 1994. The study team will work from the office of the USGS in Pittsburgh, Pa.

Assessment and mitigation of power quality problems for PUSPATI TRIGA Reactor (RTP)

NASA Astrophysics Data System (ADS)

Zakaria, Mohd Fazli; Ramachandaramurthy, Vigna K.

2017-01-01

An electrical power systems are exposed to different types of power quality disturbances. Investigation and monitoring of power quality are necessary to maintain accurate operation of sensitive equipment especially for nuclear installations. This paper will discuss the power quality problems observed at the electrical sources of PUSPATI TRIGA Reactor (RTP). Assessment of power quality requires the identification of any anomalous behavior on a power system, which adversely affects the normal operation of electrical or electronic equipment. A power quality assessment involves gathering data resources; analyzing the data (with reference to power quality standards) then, if problems exist, recommendation of mitigation techniques must be considered. Field power quality data is collected by power quality recorder and analyzed with reference to power quality standards. Normally the electrical power is supplied to the RTP via two sources in order to keep a good reliability where each of them is designed to carry the full load. The assessment of power quality during reactor operation was performed for both electrical sources. There were several disturbances such as voltage harmonics and flicker that exceeded the thresholds. To reduce these disturbances, mitigation techniques have been proposed, such as to install passive harmonic filters to reduce harmonic distortion, dynamic voltage restorer (DVR) to reduce voltage disturbances and isolate all sensitive and critical loads.

Water quality modeling in the systems impact assessment model for the Klamath River basin - Keno, Oregon to Seiad Valley, California

USGS Publications Warehouse

Hanna, R. Blair; Campbell, Sharon G.

2000-01-01

This report describes the water quality model developed for the Klamath River System Impact Assessment Model (SIAM). The Klamath River SIAM is a decision support system developed by the authors and other US Geological Survey (USGS), Midcontinent Ecological Science Center staff to study the effects of basin-wide water management decisions on anadromous fish in the Klamath River. The Army Corps of Engineersa?? HEC5Q water quality modeling software was used to simulate water temperature, dissolved oxygen and conductivity in 100 miles of the Klamath River Basin in Oregon and California. The water quality model simulated three reservoirs and the mainstem Klamath River influenced by the Shasta and Scott River tributaries. Model development, calibration and two validation exercises are described as well as the integration of the water quality model into the SIAM decision support system software. Within SIAM, data are exchanged between the water quantity model (MODSIM), the water quality model (HEC5Q), the salmon population model (SALMOD) and methods for evaluating ecosystem health. The overall predictive ability of the water quality model is described in the context of calibration and validation error statistics. Applications of SIAM and the water quality model are described.

The creation, management, and use of data quality information for life cycle assessment.

PubMed

Edelen, Ashley; Ingwersen, Wesley W

2018-04-01

Despite growing access to data, questions of "best fit" data and the appropriate use of results in supporting decision making still plague the life cycle assessment (LCA) community. This discussion paper addresses revisions to assessing data quality captured in a new US Environmental Protection Agency guidance document as well as additional recommendations on data quality creation, management, and use in LCA databases and studies. Existing data quality systems and approaches in LCA were reviewed and tested. The evaluations resulted in a revision to a commonly used pedigree matrix, for which flow and process level data quality indicators are described, more clarity for scoring criteria, and further guidance on interpretation are given. Increased training for practitioners on data quality application and its limits are recommended. A multi-faceted approach to data quality assessment utilizing the pedigree method alongside uncertainty analysis in result interpretation is recommended. A method of data quality score aggregation is proposed and recommendations for usage of data quality scores in existing data are made to enable improved use of data quality scores in LCA results interpretation. Roles for data generators, data repositories, and data users are described in LCA data quality management. Guidance is provided on using data with data quality scores from other systems alongside data with scores from the new system. The new pedigree matrix and recommended data quality aggregation procedure can now be implemented in openLCA software. Additional ways in which data quality assessment might be improved and expanded are described. Interoperability efforts in LCA data should focus on descriptors to enable user scoring of data quality rather than translation of existing scores. Developing and using data quality indicators for additional dimensions of LCA data, and automation of data quality scoring through metadata extraction and comparison to goal and scope are needed.

Higher Education Quality Assessment Model: Towards Achieving Educational Quality Standard

ERIC Educational Resources Information Center

Noaman, Amin Y.; Ragab, Abdul Hamid M.; Madbouly, Ayman I.; Khedra, Ahmed M.; Fayoumi, Ayman G.

2017-01-01

This paper presents a developed higher education quality assessment model (HEQAM) that can be applied for enhancement of university services. This is because there is no universal unified quality standard model that can be used to assess the quality criteria of higher education institutes. The analytical hierarchy process is used to identify the…

Assessment of disease activity and quality of life in systemic lupus erythematosus - New aspects.

PubMed

Yee, Chee-Seng; McElhone, Kathleen; Teh, Lee-Suan; Gordon, Caroline

2009-08-01

Outcomes in systemic lupus erythematosus (SLE) can be described in three domains: disease activity, accumulated damage and health-related quality of life (HRQoL). Over the past decade, our understanding and perception of SLE have changed considerably. Gastrointestinal and ophthalmic manifestations have increasingly been recognised, and they are associated with significant morbidity and mortality. Furthermore, it has been realised that there is a deficiency in using generic scales (such as the short form-36 (SF-36)) to assess HRQoL in patients with SLE as they fail to identify issues that are important to patients. As a result, SLE-specific measures of HRQoL have been developed recently. This article looks at the recent updates and changes in the standardised assessment of disease activity and HRQoL in SLE.

River Pollution: Part II. Biological Methods for Assessing Water Quality.

ERIC Educational Resources Information Center

Openshaw, Peter

1984-01-01

Discusses methods used in the biological assessment of river quality and such indicators of clean and polluted waters as the Trent Biotic Index, Chandler Score System, and species diversity indexes. Includes a summary of a river classification scheme based on quality criteria related to water use. (JN)

Application of the Welfare Quality® assessment system on European beef bull farms.

PubMed

Kirchner, M K; Schulze Westerath, H; Knierim, U; Tessitore, E; Cozzi, G; Pfeiffer, C; Winckler, C

2014-05-01

Welfare concerns for intensive beef production have often been raised, but on-farm welfare assessment studies are rare. The aim of this study was to apply the Welfare Quality® (WQ) welfare assessment system for fattening cattle on beef bull farms to evaluate the state of welfare at the level of WQ measures and of aggregated scores, as well as overall classification. In addition, the purpose was to evaluate two ways of providing feedback information to the farmers with regard to possible welfare improvements on the farms. The study was conducted in Austria, Germany and Italy on a total of 63 beef bull farms with deep litter or cubicle-housing systems. Assessments were carried out 3 times (1 month and 7 months apart from the initial visit). In every country, farmers were assigned to two treatment groups (feedback from initial visit as written report, F, written feedback plus oral advice, FA) and a control group (C), which did not receive any feedback. At the criterion level, the highest average welfare scores were obtained from 'Absence of prolonged hunger' (94/100 points) followed by 'Absence of pain induced by management procedures' (88/100) and 'Comfort around resting' (77/100). Most welfare concerns related to the criteria 'Absence of disease' (40/100), 'Expression of social behaviour' (44/100) and 'Positive emotional state' (48/100), thus indicating room for improvements. Two-thirds of the farms achieved the 'Enhanced' level, about one-third was judged 'Acceptable' and only one farm 'Excellent'. After 6 months of monitoring period, there was no significant welfare improvement in both the treatment groups as compared with the control group. Reasons for the lack of effect may mainly be seen in the short monitoring period and a lack of external incentives. In conclusion, the WQ assessment system revealed areas for improvement, but longer term studies and investigations on alternative ways of transferring outcomes from on-farm welfare assessments to farmers should

Display device-adapted video quality-of-experience assessment

NASA Astrophysics Data System (ADS)

Rehman, Abdul; Zeng, Kai; Wang, Zhou

2015-03-01

Today's viewers consume video content from a variety of connected devices, including smart phones, tablets, notebooks, TVs, and PCs. This imposes significant challenges for managing video traffic efficiently to ensure an acceptable quality-of-experience (QoE) for the end users as the perceptual quality of video content strongly depends on the properties of the display device and the viewing conditions. State-of-the-art full-reference objective video quality assessment algorithms do not take into account the combined impact of display device properties, viewing conditions, and video resolution while performing video quality assessment. We performed a subjective study in order to understand the impact of aforementioned factors on perceptual video QoE. We also propose a full reference video QoE measure, named SSIMplus, that provides real-time prediction of the perceptual quality of a video based on human visual system behaviors, video content characteristics (such as spatial and temporal complexity, and video resolution), display device properties (such as screen size, resolution, and brightness), and viewing conditions (such as viewing distance and angle). Experimental results have shown that the proposed algorithm outperforms state-of-the-art video quality measures in terms of accuracy and speed.

Groundwater quality in the glacial aquifer system, United States

USGS Publications Warehouse

Stackelberg, Paul E.

2017-12-07

Groundwater provides nearly 50 percent of the Nation’s drinking water. To help protect this vital resource, the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Project assesses groundwater quality in aquifers that are important sources of drinking water (Burow and Belitz, 2014). The glacial aquifer system constitutes one of the important areas being evaluated.

Measuring patient experience in dialysis: a new paradigm of quality assessment.

PubMed

Rhee, Connie M; Brunelli, Steven M; Subramanian, Lalita; Tentori, Francesca

2018-04-01

Patients' experience of care (PEC) is as an important dimension in quality of care. As a distinct entity from patient satisfaction and patient health-related quality of life, PEC is defined as patients' perceptions of the range of interactions they have with the health care system, including care from providers, facilities, and health plans. While traditionally PEC may be ascertained via informal assessments, in recent years, especially in the United States, there has been a shift towards standardized surveillance of PEC amongst dialysis patients in order to: (1) set a normative expectation regarding the importance of PEC; (2) standardize the components of patients' experience that are assessed to minimize potential "blind spots"; (3) provide a direct "voice" to the patient in communicating perceptions of their care; (4) facilitate comparisons of quality across facilities; and (5) broaden accountability for PEC to the entire multidisciplinary dialysis care team. In this review, we will discuss the significance of PEC as a quality of care metric in dialysis patients; the history of PEC assessment across other health care arenas; the development of the In-Center Hemodialysis Consumer Assessment of Healthcare Provider and Systems survey as a means to standardize PEC assessment among US dialysis patients; experiences in PEC assessment across international dialysis populations; and future areas of research needed to refine the ascertainment of PEC and its impact upon patient outcomes.

Automatic assessment of the quality of patient positioning in mammography

NASA Astrophysics Data System (ADS)

Bülow, Thomas; Meetz, Kirsten; Kutra, Dominik; Netsch, Thomas; Wiemker, Rafael; Bergtholdt, Martin; Sabczynski, Jörg; Wieberneit, Nataly; Freund, Manuela; Schulze-Wenck, Ingrid

2013-02-01

Quality assurance has been recognized as crucial for the success of population-based breast cancer screening programs using x-ray mammography. Quality guidelines and criteria have been defined in the US as well as the European Union in order to ensure the quality of breast cancer screening. Taplin et al. report that incorrect positioning of the breast is the major image quality issue in screening mammography. Consequently, guidelines and criteria for correct positioning and for the assessment of the positioning quality in mammograms play an important role in the quality standards. In this paper we present a system for the automatic evaluation of positioning quality in mammography according to the existing standardized criteria. This involves the automatic detection of anatomic landmarks in medio- lateral oblique (MLO) and cranio-caudal (CC) mammograms, namely the pectoral muscle, the mammilla and the infra-mammary fold. Furthermore, the detected landmarks are assessed with respect to their proper presentation in the image. Finally, the geometric relations between the detected landmarks are investigated to assess the positioning quality. This includes the evaluation whether the pectoral muscle is imaged down to the mammilla level, and whether the posterior nipple line diameter of the breast is consistent between the different views (MLO and CC) of the same breast. Results of the computerized assessment are compared to ground truth collected from two expert readers.

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.

Assessing Lymphatic Filariasis Data Quality in Endemic Communities in Ghana, Using the Neglected Tropical Diseases Data Quality Assessment Tool for Preventive Chemotherapy.

PubMed

de Souza, Dziedzom K; Yirenkyi, Eric; Otchere, Joseph; Biritwum, Nana-Kwadwo; Ameme, Donne K; Sackey, Samuel; Ahorlu, Collins; Wilson, Michael D

2016-03-01

The activities of the Global Programme for the Elimination of Lymphatic Filariasis have been in operation since the year 2000, with Mass Drug Administration (MDA) undertaken yearly in disease endemic communities. Information collected during MDA-such as population demographics, age, sex, drugs used and remaining, and therapeutic and geographic coverage-can be used to assess the quality of the data reported. To assist country programmes in evaluating the information reported, the WHO, in collaboration with NTD partners, including ENVISION/RTI, developed an NTD Data Quality Assessment (DQA) tool, for use by programmes. This study was undertaken to evaluate the tool and assess the quality of data reported in some endemic communities in Ghana. A cross sectional study, involving review of data registers and interview of drug distributors, disease control officers, and health information officers using the NTD DQA tool, was carried out in selected communities in three LF endemic Districts in Ghana. Data registers for service delivery points were obtained from District health office for assessment. The assessment verified reported results in comparison with recounted values for five indicators: number of tablets received, number of tablets used, number of tablets remaining, MDA coverage, and population treated. Furthermore, drug distributors, disease control officers, and health information officers (at the first data aggregation level), were interviewed, using the DQA tool, to determine the performance of the functional areas of the data management system. The results showed that over 60% of the data reported were inaccurate, and exposed the challenges and limitations of the data management system. The DQA tool is a very useful monitoring and evaluation (M&E) tool that can be used to elucidate and address data quality issues in various NTD control programmes.

21 CFR 26.41 - Exchange and endorsement of quality system evaluation reports.

Code of Federal Regulations, 2014 CFR

2014-04-01

... 21 Food and Drugs 1 2014-04-01 2014-04-01 false Exchange and endorsement of quality system... DEVICE QUALITY SYSTEM AUDIT REPORTS, AND CERTAIN MEDICAL DEVICE PRODUCT EVALUATION REPORTS: UNITED STATES... endorsement of quality system evaluation reports. (a) Listed European Community (EC) conformity assessment...

21 CFR 26.41 - Exchange and endorsement of quality system evaluation reports.

Code of Federal Regulations, 2011 CFR

2011-04-01

... 21 Food and Drugs 1 2011-04-01 2011-04-01 false Exchange and endorsement of quality system... DEVICE QUALITY SYSTEM AUDIT REPORTS, AND CERTAIN MEDICAL DEVICE PRODUCT EVALUATION REPORTS: UNITED STATES... endorsement of quality system evaluation reports. (a) Listed European Community (EC) conformity assessment...

21 CFR 26.41 - Exchange and endorsement of quality system evaluation reports.

Code of Federal Regulations, 2013 CFR

2013-04-01

... 21 Food and Drugs 1 2013-04-01 2013-04-01 false Exchange and endorsement of quality system... DEVICE QUALITY SYSTEM AUDIT REPORTS, AND CERTAIN MEDICAL DEVICE PRODUCT EVALUATION REPORTS: UNITED STATES... endorsement of quality system evaluation reports. (a) Listed European Community (EC) conformity assessment...

21 CFR 26.41 - Exchange and endorsement of quality system evaluation reports.

Code of Federal Regulations, 2012 CFR

2012-04-01

... 21 Food and Drugs 1 2012-04-01 2012-04-01 false Exchange and endorsement of quality system... DEVICE QUALITY SYSTEM AUDIT REPORTS, AND CERTAIN MEDICAL DEVICE PRODUCT EVALUATION REPORTS: UNITED STATES... endorsement of quality system evaluation reports. (a) Listed European Community (EC) conformity assessment...

42 CFR 460.140 - Additional quality assessment activities.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 42 Public Health 4 2010-10-01 2010-10-01 false Additional quality assessment activities. 460.140... FOR THE ELDERLY (PACE) Quality Assessment and Performance Improvement § 460.140 Additional quality assessment activities. A PACE organization must meet external quality assessment and reporting requirements...

Dosimetry and image quality assessment in a direct radiography system

PubMed Central

Oliveira, Bruno Beraldo; de Oliveira, Marcio Alves; Paixão, Lucas; Teixeira, Maria Helena Araújo; Nogueira, Maria do Socorro

2014-01-01

Objective To evaluate the mean glandular dose with a solid state detector and the image quality in a direct radiography system, utilizing phantoms. Materials and Methods Irradiations were performed with automatic exposure control and polymethyl methacrylate slabs with different thicknesses to calculate glandular dose values. The image quality was evaluated by means of the structures visualized on the images of the phantoms. Results Considering the uncertainty of the measurements, the mean glandular dose results are in agreement with the values provided by the equipment and with internationally adopted reference levels. Results obtained from images of the phantoms were in agreement with the reference values. Conclusion The present study contributes to verify the equipment conformity as regards dose values and image quality. PMID:25741119

Many roads may lead to Rome: Selected features of quality control within environmental assessment systems in the US, NL, CA, and UK

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

Günther, Markus, E-mail: markus.guenther@tu-berlin.de; Geißler, Gesa; Köppel, Johann

As there is no one-and-only concept on how to precisely define and establish quality control (QC) or quality assurance (QA) in the making of environmental assessments (EA), this paper presents selected features of international approaches that address quality in EA systems in the USA, the Netherlands, Canada, and the United Kingdom. Based on explanative case studies, we highlight the embedding of specific quality control features within the EA systems, the objectives and processes, and relevant transparency challenges. Such features of QC/QA approaches can be considered in cases where substantial quality control and assurance efforts are still missing. Yet further researchmore » needs to be conducted on the efficacy of these approaches, which remains beyond the scope of this study. - Highlights: • We present four tools for quality control and assurance from different EA systems. • Approaches vary in institutional setting, objectives, procedures, and transparency. • Highlighted features might provide guidance in cases where QC/QA is still lacking.« less

Implementation of a channelized Hotelling observer model to assess image quality of x-ray angiography systems.

PubMed

Favazza, Christopher P; Fetterly, Kenneth A; Hangiandreou, Nicholas J; Leng, Shuai; Schueler, Beth A

2015-01-01

Evaluation of flat-panel angiography equipment through conventional image quality metrics is limited by the scope of standard spatial-domain image quality metric(s), such as contrast-to-noise ratio and spatial resolution, or by restricted access to appropriate data to calculate Fourier domain measurements, such as modulation transfer function, noise power spectrum, and detective quantum efficiency. Observer models have been shown capable of overcoming these limitations and are able to comprehensively evaluate medical-imaging systems. We present a spatial domain-based channelized Hotelling observer model to calculate the detectability index (DI) of our different sized disks and compare the performance of different imaging conditions and angiography systems. When appropriate, changes in DIs were compared to expectations based on the classical Rose model of signal detection to assess linearity of the model with quantum signal-to-noise ratio (SNR) theory. For these experiments, the estimated uncertainty of the DIs was less than 3%, allowing for precise comparison of imaging systems or conditions. For most experimental variables, DI changes were linear with expectations based on quantum SNR theory. DIs calculated for the smallest objects demonstrated nonlinearity with quantum SNR theory due to system blur. Two angiography systems with different detector element sizes were shown to perform similarly across the majority of the detection tasks.

Performance indicators used to assess the quality of primary dental care.

PubMed

González, Grisel Zacca; Klazinga, Niek; ten Asbroek, Guus; Delnoij, Diana M

2006-12-01

An appropriate quality of medical care including dental care should be an objective of every government that aims to improve the oral health of its population. To determine performance indicators that could be used to assess the quality of primary dental care at different levels of a health care system, the sources for data collection and finally, the dimensions of quality measured by these indicators. An explorative study of the international literature was conducted using medical databases, journals and books, and official websites of organisations and associations. This resulted in a set of 57 indicators, which were classified into the following dimensions for each intended user group: For patients: health outcomes and subjective indicators; for professionals: their performance and the rates of success, failure and complications; for health care system managers and policymakers: their resources, finances and health care utilisation. A set of 57 performance indicators were identified to assess the quality of primary dental care at the levels of patients, professionals and the health care system. These indicators could be used by managers and decision-makers at any level of the health care system according to the characteristics of the services.

Research Notes - Openness and Evolvability - Documentation Quality Assessment

DTIC Science & Technology

2016-08-01

UNCLASSIFIED UNCLASSIFIED Notes – Openness and Evolvability – Documentation Quality Assessment Michael Haddy* and Adam Sbrana...Methods and Processes. This set of Research Notes focusses on Documentation Quality Assessment. This work was undertaken from the late 1990s to 2007...1 2. DOCUMENTATION QUALITY ASSESSMENT ......................................................... 1 2.1 Documentation Quality Assessment

Water quality evaluation system to assess the status and the suitability of the Citarum river water to different uses.

PubMed

Fulazzaky, Mohamad Ali

2010-09-01

Water quality degradation in the Citarum river will increase from the year to year due to increasing pollutant loads when released particularly from Bandung region of the upstream areas into the river without treatment. This will be facing the problems on water quality status to use for multi-purposes in the downstream areas. The water quality evaluation system is used to evaluate the available water condition that distinguishes into two categories, i.e., the water quality index (WQI) and water quality aptitude (WQA). The assessment of water quality for the Citarum river from 10 selected stations was found that the WQI situates in the bad category generally and the WQA ranges from the suitable quality for agriculture and livestock watering uses to the unsuitable for biological potential function, drinking water production, and leisure activities and sports in the upstream areas of Saguling dam generally.

Quality transitivity and traceability system of herbal medicine products based on quality markers.

PubMed

Liu, Changxiao; Guo, De-An; Liu, Liang

2018-05-15

Due to a variety of factors to affect the herb quality, the existing quality management model is unable to evaluate the process control. The development of the concept of "quality marker" (Q-marker) lays basis for establishing an independent process quality control system for herbal products. To ensure the highest degree of safety, effectiveness and quality process control of herbal products, it is aimed to establish a quality transitivity and traceability system of quality and process control from raw materials to finished herbal products. Based on the key issues and challenges of quality assessment, the current status of quality and process controls from raw materials to herbal medicinal products listed in Pharmacopoeia were analyzed and the research models including discovery and identification of Q-markers, analysis and quality management of risk evaluation were designed. Authors introduced a few new technologies and methodologies, such as DNA barcoding, chromatographic technologies, fingerprint analysis, chemical markers, bio-responses, risk management and solution for quality process control. The quality and process control models for herbal medicinal products were proposed and the transitivity and traceability system from raw materials to the finished products was constructed to improve the herbal quality from the entire supply and production chain. The transitivity and traceability system has been established based on quality markers, especially on how to control the production process under Good Engineering Practices, as well as to implement the risk management for quality and process control in herbal medicine production. Copyright © 2018 Elsevier GmbH. All rights reserved.

In-pipe water quality monitoring in water supply systems under steady and unsteady state flow conditions: a quantitative assessment.

PubMed

Aisopou, Angeliki; Stoianov, Ivan; Graham, Nigel J D

2012-01-01

Monitoring the quality of drinking water from the treatment plant to the consumers tap is critical to ensure compliance with national standards and/or WHO guideline levels. There are a number of processes and factors affecting the water quality during transmission and distribution which are little understood. A significant obstacle for gaining a detailed knowledge of various physical and chemical processes and the effect of the hydraulic conditions on the water quality deterioration within water supply systems is the lack of reliable and low-cost (both capital and O & M) water quality sensors for continuous monitoring. This paper has two objectives. The first one is to present a detailed evaluation of the performance of a novel in-pipe multi-parameter sensor probe for reagent- and membrane-free continuous water quality monitoring in water supply systems. The second objective is to describe the results from experimental research which was conducted to acquire continuous water quality and high-frequency hydraulic data for the quantitative assessment of the water quality changes occurring under steady and unsteady-state flow conditions. The laboratory and field evaluation of the multi-parameter sensor probe showed that the sensors have a rapid dynamic response, average repeatability and unreliable accuracy. The uncertainties in the sensor data present significant challenges for the analysis and interpretation of the acquired data and their use for water quality modelling, decision support and control in operational systems. Notwithstanding these uncertainties, the unique data sets acquired from transmission and distribution systems demonstrated the deleterious effect of unsteady state flow conditions on various water quality parameters. These studies demonstrate: (i) the significant impact of the unsteady-state hydraulic conditions on the disinfectant residual, turbidity and colour caused by the re-suspension of sediments, scouring of biofilms and tubercles from the

Water Quality Assessment and Management

EPA Pesticide Factsheets

Overview of Clean Water Act (CWA) restoration framework including; water quality standards, monitoring/assessment, reporting water quality status, TMDL development, TMDL implementation (point & nonpoint source control)

Medical faculties educational network: multidimensional quality assessment.

PubMed

Komenda, Martin; Schwarz, Daniel; Feberová, Jitka; Stípek, Stanislav; Mihál, Vladimír; Dušek, Ladislav

2012-12-01

Today, World Wide Web technology provides many opportunities in the disclosure of electronic learning and teaching content. The MEFANET project (MEdical FAculties NETwork) has initiated international, effective and open cooperation among all Czech and Slovak medical faculties in the medical education fields. This paper introduces the original MEFANET educational web portal platform. Its main aim is to present the unique collaborative environment, which combines the sharing of electronic educational resources with the use tools for their quality evaluation. It is in fact a complex e-publishing system, which consists of ten standalone portal instances and one central gateway. The fundamental principles of the developed system and used technologies are reported here, as well as procedures of a new multidimensional quality assessment. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

[Assessment of the air quality improment of cleaning and disinfection on central air-conditioning ventilation system].

PubMed

Liu, Hongliang; Zhang, Lei; Feng, Lihong; Wang, Fei; Xue, Zhiming

2009-09-01

To assess the effect of air quality of cleaning and disinfection on central air-conditioning ventilation systems. 102 air-conditioning ventilation systems in 46 public facilities were sampled and investigated based on Hygienic assessment criterion of cleaning and disinfection of public central air-conditioning systems. Median dust volume decreased from 41.8 g/m2 to 0.4 g/m2, and the percentage of pipes meeting the national standard for dust decreased from 17.3% (13/60) to 100% (62/62). In the dust, median aerobic bacterial count decreased from 14 cfu/cm2 to 1 cfu/cm2. Median aerobic fungus count decreased from 10 cfu/cm2 to 0 cfu/cm2. The percentage of pipes with bacterial and fungus counts meeting the national standard increased from 92.4% (171/185) and 82.2% (152/185) to 99.4% (165/166) and 100% (166/166), respectively. In the ventilation air, median aerobic bacterial count decreased from 756 cfu/m3 to 229 cfu/m3. Median aerobic fungus count decreased from 382 cfu/m3 to 120 cfu/m3. The percentage of pipes meeting the national standard for ventilation air increased from 33.3% (81/243) and 62.1% (151/243) to 79.8% (292/366) and 87.7% (242/276), respectively. But PM10 rose from 0.060 mg/m3 to 0.068 mg/m3, and the percentage of pipes meeting the national standard for PM10 increased from 74.2% (13/60) to 90.2% (46/51). The cleaning and disinfection of central air-conditioning ventilation systems could have a beneficial effect of air quality.

Design of a practical model-observer-based image quality assessment method for CT imaging systems

NASA Astrophysics Data System (ADS)

Tseng, Hsin-Wu; Fan, Jiahua; Cao, Guangzhi; Kupinski, Matthew A.; Sainath, Paavana

2014-03-01

The channelized Hotelling observer (CHO) is a powerful method for quantitative image quality evaluations of CT systems and their image reconstruction algorithms. It has recently been used to validate the dose reduction capability of iterative image-reconstruction algorithms implemented on CT imaging systems. The use of the CHO for routine and frequent system evaluations is desirable both for quality assurance evaluations as well as further system optimizations. The use of channels substantially reduces the amount of data required to achieve accurate estimates of observer performance. However, the number of scans required is still large even with the use of channels. This work explores different data reduction schemes and designs a new approach that requires only a few CT scans of a phantom. For this work, the leave-one-out likelihood (LOOL) method developed by Hoffbeck and Landgrebe is studied as an efficient method of estimating the covariance matrices needed to compute CHO performance. Three different kinds of approaches are included in the study: a conventional CHO estimation technique with a large sample size, a conventional technique with fewer samples, and the new LOOL-based approach with fewer samples. The mean value and standard deviation of area under ROC curve (AUC) is estimated by shuffle method. Both simulation and real data results indicate that an 80% data reduction can be achieved without loss of accuracy. This data reduction makes the proposed approach a practical tool for routine CT system assessment.

National water-quality assessment program : the Albemarle- Pamlico drainage

USGS Publications Warehouse

Lloyd, O.B.; Barnes, C.R.; Woodside, M.D.

1991-01-01

In 1991, the U.S. Geological Survey (USGS) began to implement a full-scale National Water-Quality Assessment (NAWQA) program. Long-term goals of the NAWQA program are to describe the status and trends in the quality of a large, representative part of the Nation's surface- and ground-water resources and to provide a sound, scientific understanding of the primary natural and human factors affecting the quality of these resources. In meeting these goals, the program will produce a wealth of water quality information that will be useful to policy makers and managers at the national, State, and local levels. Study-unit investigations constitute a major component of the NAWQA program, forming the principal building blocks on which national-level assessment activities are based. The 60 study-unit investigations that make up the program are hydrologic systems that include parts of most major river basins and aquifer systems. These study units cover areas of 1,200 to more than 65,000 square miles and incorporate about 60 to 70 percent of the Nation's water use and population served by public water supply. In 1991, the Albemarle-Pamlico drainage was among the first 20 NAWQA study units selected for study under the full-scale implementation plan. The Albemarle-Pamlico drainage study will examine the physical, chemical, and biological aspects of water quality issues in a coordinated investigation of surface water and ground water in the Albemarle-Pamlico drainage basin. The quantity and quality of discharge from the Albemarle-Pamlico drainage basin contribute to some water quality problems in the biologically sensitive waters of Albemarle and Pamlico Sounds. A retrospective analysis of existing water quality data will precede a 3-year period of intensive data-collection and analysis activities. The data resulting from this study and the improved understanding of important processes and issues in the upstream part of the study unit will enhance understanding of the quality of

A Web-Based Decision Support System for Assessing Regional Water-Quality Conditions and Management Actions

USGS Publications Warehouse

Booth, N.L.; Everman, E.J.; Kuo, I.-L.; Sprague, L.; Murphy, L.

2011-01-01

The U.S. Geological Survey National Water Quality Assessment Program has completed a number of water-quality prediction models for nitrogen and phosphorus for the conterminous United States as well as for regional areas of the nation. In addition to estimating water-quality conditions at unmonitored streams, the calibrated SPAtially Referenced Regressions On Watershed attributes (SPARROW) models can be used to produce estimates of yield, flow-weighted concentration, or load of constituents in water under various land-use condition, change, or resource management scenarios. A web-based decision support infrastructure has been developed to provide access to SPARROW simulation results on stream water-quality conditions and to offer sophisticated scenario testing capabilities for research and water-quality planning via a graphical user interface with familiar controls. The SPARROW decision support system (DSS) is delivered through a web browser over an Internet connection, making it widely accessible to the public in a format that allows users to easily display water-quality conditions and to describe, test, and share modeled scenarios of future conditions. SPARROW models currently supported by the DSS are based on the modified digital versions of the 1:500,000-scale River Reach File (RF1) and 1:100,000-scale National Hydrography Dataset (medium-resolution, NHDPlus) stream networks. ?? 2011 American Water Resources Association. This article is a U.S. Government work and is in the public domain in the USA.

Integrated quality assessment of sediments from harbour areas in Santos-São Vicente Estuarine System, Southern Brazil

NASA Astrophysics Data System (ADS)

Buruaem, Lucas Moreira; de Castro, Ítalo Braga; Hortellani, Marcos Antonio; Taniguchi, Satie; Fillmann, Gilberto; Sasaki, Silvio Tarou; Varella Petti, Mônica Angélica; Sarkis, Jorge Eduardo de Souza; Bícego, Márcia Caruso; Maranho, Luciane Alves; Davanso, Marcela Bergo; Nonato, Edmundo Ferraz; Cesar, Augusto; Costa-Lotufo, Leticia Veras; Abessa, Denis Moledo de Souza

2013-09-01

Santos-São Vicente Estuarine System is a highly populated coastal zone in Brazil and where it is located the major port of Latin America. Historically, port activities, industrial and domestic effluents discharges have constituted the main sources of contaminants to estuarine system. This study aimed to assess the recent status of sediment quality from 5 zones of Port of Santos by applying a lines-of-evidence approach through integrating results of: (1) acute toxicity of whole sediment and chronic toxicity of liquid phases; (2) grain size, organic matter, organic carbon, nitrogen, phosphorus, trace metals, polycyclic aromatic hydrocarbons, linear alkylbenzenes and butyltins; (3) benthic community descriptors. Results revealed a gradient of increasing contamination for metals and organic compounds, alongside with their geochemical carriers. Sediment liquid phases were more toxic compared to whole sediment. Low number of species and individuals indicated the impoverishment of benthic community. The use of site-specific sediment quality guidelines was more appropriate to predict sediment toxicity. The integration of results through Sediment Quality Triad approach and principal component analysis allowed observing the effects of natural stressors and dredging on sediment quality and benthic distribution. Even with recent governmental efforts to control, pollution is still relevant in Port of Santos and a threat to local ecosystems.

National Water-Quality Assessment program: The Trinity River Basin

USGS Publications Warehouse

Land, Larry F.

1991-01-01

In 1991, the U.S. Geological Survey (USGS) began to implement a full-scale National Water-Quality Assessment (NAWQA) program. The long-term goals of the NAWQA program are to describe the status and trends in the quality of a large, representative part of the Nation's surface- and ground-water resources and to provide a sound, scientific understanding of the primary natural and human factors affecting the quality of these resources. In meeting these goals, the program will produce a wealth of water-quality information that will be useful to policy makers and managers at the national, State, and local levels. A major design feature of the NAWQA program will enable water-quality information at different areal scales to be integrated. A major component of the program is study-unit investigations, which comprise the principal building blocks of the program on which national-level assessment activities will be based. The 60 study-unit investigations that make up the program are hydrologic systems that include parts of most major river basins and aquifer systems. These study units cover areas of 1,200 to more than 65,000 square miles and incorporate about 60 to 70 percent of the Nation's water use and population served by public water supply. In 1991, the Trinity River basin study was among the first 20 NAWQA study units selected for study under the full-scale implementation plan.

National Water-Quality Assessment Program: The Sacramento River Basin

USGS Publications Warehouse

Domagalski, Joseph L.; Brown, Larry R.

1994-01-01

In 1991, the U.S. Geological Survey (USGS) began to implement a full-scale National Water-Quality Assessment (NAWQA) program. The long-term goals of the NAWQA program are to describe the status of and trends in the quality of a large, representative part of the Nation's surface- and ground-water resources and to identify the major natural and human factors that affect the quality of those resources. In addressing these goals, the program will provide a wealth of water- quality information that will be useful to policy makers and managers at the national, State, and local levels. A major asset of the NAWQA program is that it will allow for the integration of water-quality information collected at several scales. A major component of the program is the study-unit investigation-the foundation of national- level assessment. The 60 study units of the NAWQA program are hydrologic systems that include parts of most major river basins and aquifer systems of the conterminous United States. These study units cover areas of 1,000 to more than 60,000 square miles and represent 60 to 70 percent of the Nation's water use and population served by public water supplies. Investigations of the first 20 study units began in 1991. In 1994, the Sacramento River Basin was among the second set of 20 NAWQA study units selected for investigation.

42 CFR 431.836 - Corrective action under the MQC claims processing assessment system.

Code of Federal Regulations, 2010 CFR

2010-10-01

... assessment system. 431.836 Section 431.836 Public Health CENTERS FOR MEDICARE & MEDICAID SERVICES, DEPARTMENT... ADMINISTRATION Quality Control Medicaid Quality Control (mqc) Claims Processing Assessment System § 431.836 Corrective action under the MQC claims processing assessment system. The agency must— (a) Take action to...

[Integrated Quality Management System (IQMS): a model for improving the quality of reproductive health care in rural Kenya].

PubMed

Herrler, Claudia; Bramesfeld, Anke; Brodowski, Marc; Prytherch, Helen; Marx, Irmgard; Nafula, Maureen; Richter-Aairijoki, Heide; Musyoka, Lucy; Marx, Michael; Szecsenyi, Joachim

2015-01-01

To develop a model aiming to improve the quality of services for reproductive health care in rural Kenya and designed to measure the quality of reproductive health services in such a way that allows these services to identify measures for improving their performance. The Integrated Quality Management System (IQMS) was developed on the basis of a pre-existing and validated model for quality promotion, namely the European Practice Assessment (EPA). The methodology for quality assessment and feedback of assessment results to the service teams was adopted from the EPA model. Quality assessment methodology included data assessment through staff, patient surveys and service visitation. Quality is assessed by indicators, and so indicators had to be developed that were appropriate for assessing reproductive health care in rural Kenya. A search of the Kenyan and international literature was conducted to identify potential indicators. These were then rated for their relevance and clarity by a panel of Kenyan experts. 260 indicators were rated as relevant and assigned to 29 quality dimensions and 5 domains. The implementation of IQMS in ten facilities showed that IQMS is a feasible model for assessing the quality of reproductive health services in rural Kenya. IQMS enables these services to identify quality improvement targets and necessary improvement measures. Both strengths and limitations of IQMS will be discussed. Copyright © 2015. Published by Elsevier GmbH.

Portfolio Assessment and Quality Teaching

ERIC Educational Resources Information Center

Kim, Youb; Yazdian, Lisa Sensale

2014-01-01

Our article focuses on using portfolio assessment to craft quality teaching. Extant research literature on portfolio assessment suggests that the primary purpose of assessment is to serve learning, and portfolio assessments facilitate the process of making linkages among assessment, curriculum, and student learning (Asp, 2000; Bergeron, Wermuth,…

Grain quality inspection system

NASA Technical Reports Server (NTRS)

Flood, C. A., Jr.; Singletow, D. P.; James, S. N.

1979-01-01

A review of grain quality indicators and measurement methods was conducted in order to assess the feasibility of using remote sensing technology to develop a continuous monitoring system for use during grain transfer operations. Most detection methods were found to be too slow or too expensive to be incorporated into the normal inspection procedure of a grain elevator on a continuous basis. Two indicators, moisture content and broken corn and foreign material, show potential for automation and are of an economic value. A microprocessor based system which utilizes commercially available electronic moisture meter was developed and tested. A method for automating BCFM measurement is described. A complete system description is presented along with performance test results.

Russian Quality Assessment System in Education: Key Lessons

ERIC Educational Resources Information Center

Bolotov, V.; Valdman, I.; Kovaleva, G.; Pinskaya, M.

2015-01-01

This article examines key lessons learned by Russia while developing national assessment system in education. It shows that reforms are more likely to succeed backed with sustained political support, clearly defined goals or priorities, gradual introduction, and open discussion with stakeholders. [This article was translated by Lucy Gunderson.

[TEIS--a system for public health offices for assessing, presenting, evaluating and communicating data on the quality of drinking water].

PubMed

Henke, A; Overath, H; Heinzke, J

1999-05-01

Monitoring the quality of drinking water is a cardinal task of German Public Health Offices and of the relevant Ministries of Health of the German Federal states ("Länder"). Today this can be tackled on a large scale and economically only with computer assistance. A system has been developed in North Rhine Westphalia on behalf of the Ministry of Health, for data assessment and communication which is suitable for practical work and user friendly. It aims at supporting the Public Health Offices in their daily work and at improving and simplifying the monitoring of drinking water supply systems and of drinking water quality control.

Implementation of a channelized Hotelling observer model to assess image quality of x-ray angiography systems

PubMed Central

Favazza, Christopher P.; Fetterly, Kenneth A.; Hangiandreou, Nicholas J.; Leng, Shuai; Schueler, Beth A.

2015-01-01

Abstract. Evaluation of flat-panel angiography equipment through conventional image quality metrics is limited by the scope of standard spatial-domain image quality metric(s), such as contrast-to-noise ratio and spatial resolution, or by restricted access to appropriate data to calculate Fourier domain measurements, such as modulation transfer function, noise power spectrum, and detective quantum efficiency. Observer models have been shown capable of overcoming these limitations and are able to comprehensively evaluate medical-imaging systems. We present a spatial domain-based channelized Hotelling observer model to calculate the detectability index (DI) of our different sized disks and compare the performance of different imaging conditions and angiography systems. When appropriate, changes in DIs were compared to expectations based on the classical Rose model of signal detection to assess linearity of the model with quantum signal-to-noise ratio (SNR) theory. For these experiments, the estimated uncertainty of the DIs was less than 3%, allowing for precise comparison of imaging systems or conditions. For most experimental variables, DI changes were linear with expectations based on quantum SNR theory. DIs calculated for the smallest objects demonstrated nonlinearity with quantum SNR theory due to system blur. Two angiography systems with different detector element sizes were shown to perform similarly across the majority of the detection tasks. PMID:26158086

Nursing Quality Assurance: The Wisconsin System

ERIC Educational Resources Information Center

Hover, Julie; Zimmer, Marie J.

1978-01-01

Evaluation model guidelines for hospital departments of nursing to use in their nursing quality assurance programs are presented as developed in Wisconsin. Four essential components of the Wisconsin outcome evaluation system are criteria, assessment, standards, and improvement of care. Sample tests and charts are included in the article. (MF)

No-reference quality assessment based on visual perception

NASA Astrophysics Data System (ADS)

Li, Junshan; Yang, Yawei; Hu, Shuangyan; Zhang, Jiao

2014-11-01

The visual quality assessment of images/videos is an ongoing hot research topic, which has become more and more important for numerous image and video processing applications with the rapid development of digital imaging and communication technologies. The goal of image quality assessment (IQA) algorithms is to automatically assess the quality of images/videos in agreement with human quality judgments. Up to now, two kinds of models have been used for IQA, namely full-reference (FR) and no-reference (NR) models. For FR models, IQA algorithms interpret image quality as fidelity or similarity with a perfect image in some perceptual space. However, the reference image is not available in many practical applications, and a NR IQA approach is desired. Considering natural vision as optimized by the millions of years of evolutionary pressure, many methods attempt to achieve consistency in quality prediction by modeling salient physiological and psychological features of the human visual system (HVS). To reach this goal, researchers try to simulate HVS with image sparsity coding and supervised machine learning, which are two main features of HVS. A typical HVS captures the scenes by sparsity coding, and uses experienced knowledge to apperceive objects. In this paper, we propose a novel IQA approach based on visual perception. Firstly, a standard model of HVS is studied and analyzed, and the sparse representation of image is accomplished with the model; and then, the mapping correlation between sparse codes and subjective quality scores is trained with the regression technique of least squaresupport vector machine (LS-SVM), which gains the regressor that can predict the image quality; the visual metric of image is predicted with the trained regressor at last. We validate the performance of proposed approach on Laboratory for Image and Video Engineering (LIVE) database, the specific contents of the type of distortions present in the database are: 227 images of JPEG2000, 233

42 CFR 431.834 - Access to records: Claims processing assessment systems.

Code of Federal Regulations, 2013 CFR

2013-10-01

... 42 Public Health 4 2013-10-01 2013-10-01 false Access to records: Claims processing assessment systems. 431.834 Section 431.834 Public Health CENTERS FOR MEDICARE & MEDICAID SERVICES, DEPARTMENT OF... ADMINISTRATION Quality Control Medicaid Quality Control (mqc) Claims Processing Assessment System § 431.834...

42 CFR 431.834 - Access to records: Claims processing assessment systems.

Code of Federal Regulations, 2011 CFR

2011-10-01

... 42 Public Health 4 2011-10-01 2011-10-01 false Access to records: Claims processing assessment systems. 431.834 Section 431.834 Public Health CENTERS FOR MEDICARE & MEDICAID SERVICES, DEPARTMENT OF... ADMINISTRATION Quality Control Medicaid Quality Control (mqc) Claims Processing Assessment System § 431.834...

Enhanced Gender Recognition System Using an Improved Histogram of Oriented Gradient (HOG) Feature from Quality Assessment of Visible Light and Thermal Images of the Human Body.

PubMed

Nguyen, Dat Tien; Park, Kang Ryoung

2016-07-21

With higher demand from users, surveillance systems are currently being designed to provide more information about the observed scene, such as the appearance of objects, types of objects, and other information extracted from detected objects. Although the recognition of gender of an observed human can be easily performed using human perception, it remains a difficult task when using computer vision system images. In this paper, we propose a new human gender recognition method that can be applied to surveillance systems based on quality assessment of human areas in visible light and thermal camera images. Our research is novel in the following two ways: First, we utilize the combination of visible light and thermal images of the human body for a recognition task based on quality assessment. We propose a quality measurement method to assess the quality of image regions so as to remove the effects of background regions in the recognition system. Second, by combining the features extracted using the histogram of oriented gradient (HOG) method and the measured qualities of image regions, we form a new image features, called the weighted HOG (wHOG), which is used for efficient gender recognition. Experimental results show that our method produces more accurate estimation results than the state-of-the-art recognition method that uses human body images.

Enhanced Gender Recognition System Using an Improved Histogram of Oriented Gradient (HOG) Feature from Quality Assessment of Visible Light and Thermal Images of the Human Body

PubMed Central

Nguyen, Dat Tien; Park, Kang Ryoung

2016-01-01

With higher demand from users, surveillance systems are currently being designed to provide more information about the observed scene, such as the appearance of objects, types of objects, and other information extracted from detected objects. Although the recognition of gender of an observed human can be easily performed using human perception, it remains a difficult task when using computer vision system images. In this paper, we propose a new human gender recognition method that can be applied to surveillance systems based on quality assessment of human areas in visible light and thermal camera images. Our research is novel in the following two ways: First, we utilize the combination of visible light and thermal images of the human body for a recognition task based on quality assessment. We propose a quality measurement method to assess the quality of image regions so as to remove the effects of background regions in the recognition system. Second, by combining the features extracted using the histogram of oriented gradient (HOG) method and the measured qualities of image regions, we form a new image features, called the weighted HOG (wHOG), which is used for efficient gender recognition. Experimental results show that our method produces more accurate estimation results than the state-of-the-art recognition method that uses human body images. PMID:27455264

Image quality evaluation and patient dose assessment of medical fluoroscopic X-ray systems: a national study.

PubMed

Economides, S; Hourdakis, C J; Kalivas, N; Kalathaki, M; Simantirakis, G; Tritakis, P; Manousaridis, G; Vogiatzi, S; Kipouros, P; Boziari, A; Kamenopoulou, V

2008-01-01

This study presents the results from a survey conducted by the Greek Atomic Energy Commission (GAEC), during the period 1998-2003, in 530 public and private owned fluoroscopic X-ray systems in Greece. Certain operational parameters for conventional and remote control systems were assessed, according to a quality control protocol developed by GAEC on the basis of the current literature. Public (91.5%) and private (81.5%) owned fluoroscopic units exhibit high-contrast resolution values over 1 lp mm(-1). Moreover, 88.5 and 87.1% of the fluoroscopic units installed in the public and private sector, respectively, present Maximum Patient Entrance Kerma Rate values lower than 100 mGy min(-1). Additionally, 68.3% of the units assessed were found to perform within the acceptance limits. Finally, the third quartile of the Entrance Surface Dose Rate distribution was estimated according to the Dose Reference Level definition and found equal to 35 mGy min(-1).

Assessing systems quality in a changing health care environment: the 2009-10 national survey of children with special health care needs.

PubMed

Strickland, Bonnie B; Jones, Jessica R; Newacheck, Paul W; Bethell, Christina D; Blumberg, Stephen J; Kogan, Michael D

2015-02-01

To provide a national, population-based assessment of the quality of the health care system for children and youth with special health care needs using a framework of six health care system quality indicators. 49,242 interviews with parents of children with special health care needs from the 2009-10 National Survey of Children with Special Health Care Needs (NS-CSHCN) were examined to determine the extent to which CSHCN had access to six quality indicators of a well-functioning system of services. Criteria for determining access to each indicator were established and applied to the survey data to estimate the proportion of CSHCN meeting each quality indicator by socio-demographic status and functional limitations. 17.6% of CSHCN received care consistent with all six quality indicators. Results for each component of the system quality framework ranged from a high of 70.3% of parents reporting that they shared decision-making with healthcare providers to a low of 40% of parents reporting receipt of services needed for transition to adult health care. Attainment rates were lower for CSHCN of minority racial and ethnic groups, those residing in households where English was not the primary language, those in lower income households, and those most impacted by their health condition. Only a small proportion of CSHCN receive all identified attributes of a high-quality system of services. Moreover, significant disparities exist whereby those most impacted by their conditions and those in traditionally disadvantaged groups are served least well by the current system. A small proportion of CSHCN appear to remain essentially outside of the system, having met few if any of the elements studied.

ASQ Program Observation Instrument: A Tool for Assessing School-Age Child Care Quality.

ERIC Educational Resources Information Center

O'Connor, Susan; And Others

ASQ (Assessing School-Aged Child Care Quality) is a system for determining the quality of school-age child care programs. The ASQ Program Observation Instrument is a ten-step, self assessment process to guide program improvement. This instrument does not work well in full-day programs that have a single focus, but works well in programs that offer…

A Real-Time Safety and Quality Reporting System: Assessment of Clinical Data and Staff Participation

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

Rahn, Douglas A.; Kim, Gwe-Ya; Mundt, Arno J.

Purpose: To report on the use of an incident learning system in a radiation oncology clinic, along with a review of staff participation. Methods and Materials: On September 24, 2010, our department initiated an online real-time voluntary reporting system for safety issues, called the Radiation Oncology Quality Reporting System (ROQRS). We reviewed these reports from the program's inception through January 18, 2013 (2 years, 3 months, 25 days) to assess error reports (defined as both near-misses and incidents of inaccurate treatment). Results: During the study interval, there were 60,168 fractions of external beam radiation therapy and 955 brachytherapy procedures. There were 298 entriesmore » in the ROQRS system, among which 108 errors were reported. There were 31 patients with near-misses reported and 27 patients with incidents of inaccurate treatment reported. These incidents of inaccurate treatment occurred in 68 total treatment fractions (0.11% of treatments delivered during the study interval). None of these incidents of inaccurate treatment resulted in deviation from the prescription by 5% or more. A solution to the errors was documented in ROQRS in 65% of the cases. Errors occurred as repeated errors in 22% of the cases. A disproportionate number of the incidents of inaccurate treatment were due to improper patient setup at the linear accelerator (P<.001). Physician participation in ROQRS was nonexistent initially, but improved after an education program. Conclusions: Incident learning systems are a useful and practical means of improving safety and quality in patient care.« less

A framework for performance and data quality assessment of Radio Frequency IDentification (RFID) systems in health care settings.

PubMed

van der Togt, Remko; Bakker, Piet J M; Jaspers, Monique W M

2011-04-01

RFID offers great opportunities to health care. Nevertheless, prior experiences also show that RFID systems have not been designed and tested in response to the particular needs of health care settings and might introduce new risks. The aim of this study is to present a framework that can be used to assess the performance of RFID systems particularly in health care settings. We developed a framework describing a systematic approach that can be used for assessing the feasibility of using an RFID technology in a particular healthcare setting; more specific for testing the impact of environmental factors on the quality of RFID generated data and vice versa. This framework is based on our own experiences with an RFID pilot implementation in an academic hospital in The Netherlands and a literature review concerning RFID test methods and current insights of RFID implementations in healthcare. The implementation of an RFID system within the blood transfusion chain inside a hospital setting was used as a show case to explain the different phases of the framework. The framework consists of nine phases, including an implementation development plan, RFID and medical equipment interference tests, data accuracy- and data completeness tests to be run in laboratory, simulated field and real field settings. The potential risks that RFID technologies may bring to the healthcare setting should be thoroughly evaluated before they are introduced into a vital environment. The RFID performance assessment framework that we present can act as a reference model to start an RFID development, engineering, implementation and testing plan and more specific, to assess the potential risks of interference and to test the quality of the RFID generated data potentially influenced by physical objects in specific health care environments. Copyright © 2010 Elsevier Inc. All rights reserved.

A review of approaches to quality assurance of veterinary systems for health-status certification.

PubMed

Stärk, Katharina D C; Salman, Mo; Tempelman, Yuval; Kihm, Ulrich

2002-12-18

Regarding national and international trade of animals and animal products, certificates are required to document specific health levels. The credibility of such certificates depends on the quality of the data used to establish the status. Credibility also depends on the quality of the design and protocols used in the data-gathering process (i.e. on the quality of the surveillance-and-monitoring systems (SMS) and on the quality of the veterinary administrative systems (VAdminS)). The major requirements for the assessment of the SMS and VAdminS are: objectivity, accuracy, transparency, practicality, quantitative in nature. To assess the quality of SMS and VAdminS, systems analysis might provide a suitable framework. Systems analysis requires the identification and description of all components of the system-how they interact with each other and with other systems. Graphical methods (e.g. fault trees) are available to support this procedure. To assess the quality of SMS, scoring systems have been suggested. Their main weakness is the inherent subjectiveness. Alternatively, performance indicators (PI) could be used. For the assessment of VAdminS, questionnaires have been developed and applied. Their main limitations are that they focus on the input rather than on the output and that they are purely descriptive in nature. Thus, comparisons between countries are almost impossible. Semi-quantitative questionnaires using scores now are being developed and tested, although their limitations will be similar to those mentioned above. Another approach is the use of risk assessment including standardised data files assembled by countries volunteering to be assessed. This was applied successfully by the European Union (EU) in the geographic risk assessment for bovine spongiform encephalopathy (BSE). In general, the publication and documentation of veterinary systems needs to be encouraged to make them accessible to peer review.

Performance Assessment Examples from the Quality Performance Assessment Network

ERIC Educational Resources Information Center

Kuriacose, Christina

2017-01-01

In this brief article, Christina Kuriacose provides four sample performance assessments. Spanning grade levels, these assessments are strong examples of teacher-developed performance assessments from schools within the Center for Collaborative Education's Quality Performance Assessment network. These performance tasks demonstrate the pedagogical…

Design of a practical model-observer-based image quality assessment method for x-ray computed tomography imaging systems

PubMed Central

Tseng, Hsin-Wu; Fan, Jiahua; Kupinski, Matthew A.

2016-01-01

Abstract. The use of a channelization mechanism on model observers not only makes mimicking human visual behavior possible, but also reduces the amount of image data needed to estimate the model observer parameters. The channelized Hotelling observer (CHO) and channelized scanning linear observer (CSLO) have recently been used to assess CT image quality for detection tasks and combined detection/estimation tasks, respectively. Although the use of channels substantially reduces the amount of data required to compute image quality, the number of scans required for CT imaging is still not practical for routine use. It is our desire to further reduce the number of scans required to make CHO or CSLO an image quality tool for routine and frequent system validations and evaluations. This work explores different data-reduction schemes and designs an approach that requires only a few CT scans. Three different kinds of approaches are included in this study: a conventional CHO/CSLO technique with a large sample size, a conventional CHO/CSLO technique with fewer samples, and an approach that we will show requires fewer samples to mimic conventional performance with a large sample size. The mean value and standard deviation of areas under ROC/EROC curve were estimated using the well-validated shuffle approach. The results indicate that an 80% data reduction can be achieved without loss of accuracy. This substantial data reduction is a step toward a practical tool for routine-task-based QA/QC CT system assessment. PMID:27493982

Science Assessments for All: Integrating Science Simulations into Balanced State Science Assessment Systems

ERIC Educational Resources Information Center

Quellmalz, Edys S.; Timms, Michael J.; Silberglitt, Matt D.; Buckley, Barbara C.

2012-01-01

This article reports on the collaboration of six states to study how simulation-based science assessments can become transformative components of multi-level, balanced state science assessment systems. The project studied the psychometric quality, feasibility, and utility of simulation-based science assessments designed to serve formative purposes…

Electronic Monitoring Systems to Assess Urinary Incontinence: A Health Technology Assessment

PubMed Central

Nevis, Immaculate; Kabali, Conrad; Anh Tu, Hong; Ekanayake, Samanthika; Mistry, Jigna; Wells, David; Ali, Arshia; Walter, Melissa; Higgins, Caroline

2018-01-01

Background Urinary incontinence is involuntary leakage of urine and can affect people of all ages. Incidence rises as people age, often because of reduced mobility or conditions affecting the nervous system, such as dementia and stroke. Urinary incontinence can be a distressing condition and can harm a person's physical, financial, social, and emotional well-being. People with urinary incontinence are susceptible to skin irritation, pressure sores, and urinary tract infections. Urinary incontinence is also associated with an increased risk of falls in older adults. This health technology assessment examined the effectiveness of, budget impact of, and patient values and preferences about electronic monitoring systems to assess urinary incontinence for residents of long-term care homes or geriatric hospital inpatients with complex conditions. Methods A clinical evidence review of the published clinical literature was conducted to June 9, 2017. Critical appraisal of the clinical evidence included assessment of risk of bias and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) Working Group criteria to reflect the certainty of the evidence. We calculated the funding required for an electronic urinary incontinence monitoring system in the first year of implementation (when facilities would buy the systems) and in subsequent years. We interviewed six people with urinary incontinence and two caregivers, who described ways urinary incontinence affected daily life. Results We included one observational study in the clinical review. Most of the 31 participants in the observational study were female (78%) and required high levels of care, primarily because of cognitive impairment. The quality of evidence for all outcomes was very low owing to potential risk of bias and indirectness. We are consequently uncertain about how electronic monitoring systems affect management of urinary incontinence. For patients living in long-term care homes who are

Electronic Monitoring Systems to Assess Urinary Incontinence: A Health Technology Assessment.

PubMed

2018-01-01

Urinary incontinence is involuntary leakage of urine and can affect people of all ages. Incidence rises as people age, often because of reduced mobility or conditions affecting the nervous system, such as dementia and stroke. Urinary incontinence can be a distressing condition and can harm a person's physical, financial, social, and emotional well-being. People with urinary incontinence are susceptible to skin irritation, pressure sores, and urinary tract infections. Urinary incontinence is also associated with an increased risk of falls in older adults.This health technology assessment examined the effectiveness of, budget impact of, and patient values and preferences about electronic monitoring systems to assess urinary incontinence for residents of long-term care homes or geriatric hospital inpatients with complex conditions. A clinical evidence review of the published clinical literature was conducted to June 9, 2017. Critical appraisal of the clinical evidence included assessment of risk of bias and the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) Working Group criteria to reflect the certainty of the evidence.We calculated the funding required for an electronic urinary incontinence monitoring system in the first year of implementation (when facilities would buy the systems) and in subsequent years.We interviewed six people with urinary incontinence and two caregivers, who described ways urinary incontinence affected daily life. We included one observational study in the clinical review. Most of the 31 participants in the observational study were female (78%) and required high levels of care, primarily because of cognitive impairment. The quality of evidence for all outcomes was very low owing to potential risk of bias and indirectness. We are consequently uncertain about how electronic monitoring systems affect management of urinary incontinence.For patients living in long-term care homes who are eligible for the technology, we

The reliability-quality relationship for quality systems and quality risk management.

PubMed

Claycamp, H Gregg; Rahaman, Faiad; Urban, Jason M

2012-01-01

Engineering reliability typically refers to the probability that a system, or any of its components, will perform a required function for a stated period of time and under specified operating conditions. As such, reliability is inextricably linked with time-dependent quality concepts, such as maintaining a state of control and predicting the chances of losses from failures for quality risk management. Two popular current good manufacturing practice (cGMP) and quality risk management tools, failure mode and effects analysis (FMEA) and root cause analysis (RCA) are examples of engineering reliability evaluations that link reliability with quality and risk. Current concepts in pharmaceutical quality and quality management systems call for more predictive systems for maintaining quality; yet, the current pharmaceutical manufacturing literature and guidelines are curiously silent on engineering quality. This commentary discusses the meaning of engineering reliability while linking the concept to quality systems and quality risk management. The essay also discusses the difference between engineering reliability and statistical (assay) reliability. The assurance of quality in a pharmaceutical product is no longer measured only "after the fact" of manufacturing. Rather, concepts of quality systems and quality risk management call for designing quality assurance into all stages of the pharmaceutical product life cycle. Interestingly, most assays for quality are essentially static and inform product quality over the life cycle only by being repeated over time. Engineering process reliability is the fundamental concept that is meant to anticipate quality failures over the life cycle of the product. Reliability is a well-developed theory and practice for other types of manufactured products and manufacturing processes. Thus, it is well known to be an appropriate index of manufactured product quality. This essay discusses the meaning of reliability and its linkages with quality

Blind image quality assessment based on aesthetic and statistical quality-aware features

NASA Astrophysics Data System (ADS)

Jenadeleh, Mohsen; Masaeli, Mohammad Masood; Moghaddam, Mohsen Ebrahimi

2017-07-01

The main goal of image quality assessment (IQA) methods is the emulation of human perceptual image quality judgments. Therefore, the correlation between objective scores of these methods with human perceptual scores is considered as their performance metric. Human judgment of the image quality implicitly includes many factors when assessing perceptual image qualities such as aesthetics, semantics, context, and various types of visual distortions. The main idea of this paper is to use a host of features that are commonly employed in image aesthetics assessment in order to improve blind image quality assessment (BIQA) methods accuracy. We propose an approach that enriches the features of BIQA methods by integrating a host of aesthetics image features with the features of natural image statistics derived from multiple domains. The proposed features have been used for augmenting five different state-of-the-art BIQA methods, which use statistical natural scene statistics features. Experiments were performed on seven benchmark image quality databases. The experimental results showed significant improvement of the accuracy of the methods.

Image quality assessment using deep convolutional networks

NASA Astrophysics Data System (ADS)

Li, Yezhou; Ye, Xiang; Li, Yong

2017-12-01

This paper proposes a method of accurately assessing image quality without a reference image by using a deep convolutional neural network. Existing training based methods usually utilize a compact set of linear filters for learning features of images captured by different sensors to assess their quality. These methods may not be able to learn the semantic features that are intimately related with the features used in human subject assessment. Observing this drawback, this work proposes training a deep convolutional neural network (CNN) with labelled images for image quality assessment. The ReLU in the CNN allows non-linear transformations for extracting high-level image features, providing a more reliable assessment of image quality than linear filters. To enable the neural network to take images of any arbitrary size as input, the spatial pyramid pooling (SPP) is introduced connecting the top convolutional layer and the fully-connected layer. In addition, the SPP makes the CNN robust to object deformations to a certain extent. The proposed method taking an image as input carries out an end-to-end learning process, and outputs the quality of the image. It is tested on public datasets. Experimental results show that it outperforms existing methods by a large margin and can accurately assess the image quality on images taken by different sensors of varying sizes.

[National Antimicrobial Resistance Surveillance System (NAMRSS) external quality assessment studies: 2011-2016].

PubMed

Süzük Yıldız, Serap; Şimşek, Hüsniye; Çöplü, Nilay; Gülay, Zeynep

2017-07-01

Establishment of sustainable and evidence-based surveillance systems are recommended for prevention of microbial resistance by the World Health Organization (WHO). As a necessity of these surveillance systems, participants are recommended to implement an external quality assessment (EQA) program. In this scope, National Antimicrobial Resistance Surveillance System (NARSS) has been established within the Public Health Institute of Turkey (PHIT) in our country since 2011. In the scope of this surveillance, NARSS EQA program has been implemented in a cycle per year and four isolates were sent to participants per cycle every year since 2011. In this study, it was aimed to evaluate the six years results of the EQA programs being implemented on NARSS participants between 2011 and 2016. The surveillance system consisted of 118 laboratories. Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, Staphylococcus aureus, Streptococcus pneumoniae, Enterococcus faecium/faecalis and Acinetobacter baumannii bacteria included in scope of the surveillance were sent to participants. Identification of bacteria to the species level, verification of the antibiotic susceptibility test results and existence of specified resistance of the isolates performed with valid test methods required from the participants. Identified isolates were cultured with routine microbiological methods and sent to participants in ambient temperature in triple carrying pouches inside suitable carrying media via PTT Cargo. The results were entered by means of passwords prepared by PHIT and sent to the web based system. The analysis of results were made with SPSS program. A total of twenty-three isolates were sent to participants between 2011 and 2016. It was determined that participants commonly preferred automated systems for bacterial identification and antibiotic sensitivity test results. The use of MALDI TOF MS system was determined to be raised up to 15.65% in 2016. It has been determined that

Colonoscopy video quality assessment using hidden Markov random fields

NASA Astrophysics Data System (ADS)

Park, Sun Young; Sargent, Dusty; Spofford, Inbar; Vosburgh, Kirby

2011-03-01

With colonoscopy becoming a common procedure for individuals aged 50 or more who are at risk of developing colorectal cancer (CRC), colon video data is being accumulated at an ever increasing rate. However, the clinically valuable information contained in these videos is not being maximally exploited to improve patient care and accelerate the development of new screening methods. One of the well-known difficulties in colonoscopy video analysis is the abundance of frames with no diagnostic information. Approximately 40% - 50% of the frames in a colonoscopy video are contaminated by noise, acquisition errors, glare, blur, and uneven illumination. Therefore, filtering out low quality frames containing no diagnostic information can significantly improve the efficiency of colonoscopy video analysis. To address this challenge, we present a quality assessment algorithm to detect and remove low quality, uninformative frames. The goal of our algorithm is to discard low quality frames while retaining all diagnostically relevant information. Our algorithm is based on a hidden Markov model (HMM) in combination with two measures of data quality to filter out uninformative frames. Furthermore, we present a two-level framework based on an embedded hidden Markov model (EHHM) to incorporate the proposed quality assessment algorithm into a complete, automated diagnostic image analysis system for colonoscopy video.

Operational CryoSat Product Quality Assessment

NASA Astrophysics Data System (ADS)

Mannan, Rubinder; Webb, Erica; Hall, Amanda; Bouzinac, Catherine

2013-12-01

The performance and quality of the CryoSat data products are routinely assessed by the Instrument Data quality Evaluation and Analysis Service (IDEAS). This information is then conveyed to the scientific and user community in order to allow them to utilise CryoSat data with confidence. This paper presents details of the Quality Control (QC) activities performed for CryoSat products under the IDEAS contract. Details of the different QC procedures and tools deployed by IDEAS to assess the quality of operational data are presented. The latest updates to the Instrument Processing Facility (IPF) for the Fast Delivery Marine (FDM) products and the future update to Baseline-C are discussed.

Quality Assessment of Landsat Surface Reflectance Products Using MODIS Data

NASA Technical Reports Server (NTRS)

Feng, Min; Huang, Chengquan; Channan, Saurabh; Vermote, Eric; Masek, Jeffrey G.; Townshend, John R.

2012-01-01

Surface reflectance adjusted for atmospheric effects is a primary input for land cover change detection and for developing many higher level surface geophysical parameters. With the development of automated atmospheric correction algorithms, it is now feasible to produce large quantities of surface reflectance products using Landsat images. Validation of these products requires in situ measurements, which either do not exist or are difficult to obtain for most Landsat images. The surface reflectance products derived using data acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS), however, have been validated more comprehensively. Because the MODIS on the Terra platform and the Landsat 7 are only half an hour apart following the same orbit, and each of the 6 Landsat spectral bands overlaps with a MODIS band, good agreements between MODIS and Landsat surface reflectance values can be considered indicators of the reliability of the Landsat products, while disagreements may suggest potential quality problems that need to be further investigated. Here we develop a system called Landsat-MODIS Consistency Checking System (LMCCS). This system automatically matches Landsat data with MODIS observations acquired on the same date over the same locations and uses them to calculate a set of agreement metrics. To maximize its portability, Java and open-source libraries were used in developing this system, and object-oriented programming (OOP) principles were followed to make it more flexible for future expansion. As a highly automated system designed to run as a stand-alone package or as a component of other Landsat data processing systems, this system can be used to assess the quality of essentially every Landsat surface reflectance image where spatially and temporally matching MODIS data are available. The effectiveness of this system was demonstrated using it to assess preliminary surface reflectance products derived using the Global Land Survey (GLS) Landsat

Towards Quality Assessment in an EFL Programme

ERIC Educational Resources Information Center

Ali, Holi Ibrahim Holi; Al Ajmi, Ahmed Ali Saleh

2013-01-01

Assessment is central in education and the teaching-learning process. This study attempts to explore the perspectives and views about quality assessment among teachers of English as a Foreign Language (EFL), and to find ways of promoting quality assessment. Quantitative methodology was used to collect data. To answer the study questions, a…

Does a quality management system improve quality in primary care practices in Switzerland? A longitudinal study.

PubMed

Goetz, Katja; Hess, Sigrid; Jossen, Marianne; Huber, Felix; Rosemann, Thomas; Brodowski, Marc; Künzi, Beat; Szecsenyi, Joachim

2015-04-21

To examine the effectiveness of the quality management programme--European Practice Assessment--in primary care in Switzerland. Longitudinal study with three points of measurement. Primary care practices in Switzerland. In total, 45 of 91 primary care practices completed European Practice Assessment three times. The interval between each assessment was around 36 months. A variance analyses for repeated measurements were performed for all 129 quality indicators from the domains: 'infrastructure', 'information', 'finance', and 'quality and safety' to examine changes over time. Significant improvements were found in three of four domains: 'quality and safety' (F=22.81, p<0.01), 'information' (F=27.901, p<0.01) and 'finance' (F=4.073, p<0.02). The 129 quality indicators showed a significant improvement within the three points of measurement (F=33.864, p<0.01). The European Practice Assessment for primary care practices thus provides a functioning quality management programme, focusing on the sustainable improvement of structural and organisational aspects to promote high quality of primary care. The implementation of a quality management system which also includes a continuous improvement process would give added value to provide good care. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Groundwater quality in the Rio Grande aquifer system, southwestern United States

USGS Publications Warehouse

Musgrove, MaryLynn; Bexfield, Laura M.

2017-12-07

Groundwater provides nearly 50 percent of the Nation’s drinking water. To help protect this vital resource, the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Project assesses groundwater quality in aquifers that are important sources of drinking water (Burow and Belitz, 2014). The Rio Grande aquifer system constitutes one of the important areas being evaluated.

Groundwater quality in the Cambrian-Ordovician aquifer system, midwestern United States

USGS Publications Warehouse

Stackelberg, Paul E.

2017-12-07

Groundwater provides nearly 50 percent of the Nation’s drinking water. To help protect this vital resource, the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) Project assesses groundwater quality in aquifers that are important sources of drinking water (Burow and Belitz, 2014). The Cambrian-Ordovician aquifer system constitutes one of the important areas being evaluated.

Assessing Systems Quality in a Changing Health Care Environment: The 2009–10 National Survey of Children with Special Health Care Needs

PubMed Central

Jones, Jessica R.; Newacheck, Paul W.; Bethell, Christina D.; Blumberg, Stephen J.; Kogan, Michael D.

2016-01-01

To provide a national, population-based assessment of the quality of the health care system for children and youth with special health care needs using a framework of six health care system quality indicators. 49,242 interviews with parents of children with special health care needs from the 2009–10 National Survey of Children with Special Health Care Needs (NS-CSHCN) were examined to determine the extent to which CSHCN had access to six quality indicators of a well-functioning system of services. Criteria for determining access to each indicator were established and applied to the survey data to estimate the proportion of CSHCN meeting each quality indicator by socio-demographic status and functional limitations. 17.6 % of CSHCN received care consistent with all six quality indicators. Results for each component of the system quality framework ranged from a high of 70.3 % of parents reporting that they shared decision-making with healthcare providers to a low of 40 % of parents reporting receipt of services needed for transition to adult health care. Attainment rates were lower for CSHCN of minority racial and ethnic groups, those residing in households where English was not the primary language, those in lower income households, and those most impacted by their health condition. Only a small proportion of CSHCN receive all identified attributes of a high-quality system of services. Moreover, significant disparities exist whereby those most impacted by their conditions and those in traditionally disadvantaged groups are served least well by the current system. A small proportion of CSHCN appear to remain essentially outside of the system, having met few if any of the elements studied. PMID:24912943

A Risk-based Assessment And Management Framework For Multipollutant Air Quality

PubMed Central

Frey, H. Christopher; Hubbell, Bryan

2010-01-01

The National Research Council recommended both a risk- and performance-based multipollutant approach to air quality management. Specifically, management decisions should be based on minimizing the exposure to, and risk of adverse effects from, multiple sources of air pollution and that the success of these decisions should be measured by how well they achieved this objective. We briefly describe risk analysis and its application within the current approach to air quality management. Recommendations are made as to how current practice could evolve to support a fully risk- and performance-based multipollutant air quality management system. The ability to implement a risk assessment framework in a credible and policy-relevant manner depends on the availability of component models and data which are scientifically sound and developed with an understanding of their application in integrated assessments. The same can be said about accountability assessments used to evaluate the outcomes of decisions made using such frameworks. The existing risk analysis framework, although typically applied to individual pollutants, is conceptually well suited for analyzing multipollutant management actions. Many elements of this framework, such as emissions and air quality modeling, already exist with multipollutant characteristics. However, the framework needs to be supported with information on exposure and concentration response relationships that result from multipollutant health studies. Because the causal chain that links management actions to emission reductions, air quality improvements, exposure reductions and health outcomes is parallel between prospective risk analyses and retrospective accountability assessments, both types of assessment should be placed within a single framework with common metrics and indicators where possible. Improvements in risk reductions can be obtained by adopting a multipollutant risk analysis framework within the current air quality management

Automatic quality assessment of planetary images

NASA Astrophysics Data System (ADS)

Sidiropoulos, P.; Muller, J.-P.

2015-10-01

A significant fraction of planetary images are corrupted beyond the point that much scientific meaning can be extracted. For example, transmission errors result in missing data which is unrecoverable. The available planetary image datasets include many such "bad data", which both occupy valuable scientific storage resources and create false impressions about planetary image availability for specific planetary objects or target areas. In this work, we demonstrate a pipeline that we have developed to automatically assess the quality of planetary images. Additionally, this method discriminates between different types of image degradation, such as low-quality originating from camera flaws or low-quality triggered by atmospheric conditions, etc. Examples of quality assessment results for Viking Orbiter imagery will be also presented.

A knowledge-based patient assessment system: conceptual and technical design.

PubMed Central

Reilly, C. A.; Zielstorff, R. D.; Fox, R. L.; O'Connell, E. M.; Carroll, D. L.; Conley, K. A.; Fitzgerald, P.; Eng, T. K.; Martin, A.; Zidik, C. M.; Segal, M.

2000-01-01

This paper describes the design of an inpatient patient assessment application that captures nursing assessment data using a wireless laptop computer. The primary aim of this system is to capture structured information for facilitating decision support and quality monitoring. The system also aims to improve efficiency of recording patient assessments, reduce costs, and improve discharge planning and early identification of patient learning needs. Object-oriented methods were used to elicit functional requirements and to model the proposed system. A tools-based development approach is being used to facilitate rapid development and easy modification of assessment items and rules for decision support. Criteria for evaluation include perceived utility by clinician users, validity of decision support rules, time spent recording assessments, and perceived utility of aggregate reports for quality monitoring. PMID:11079970

A knowledge-based patient assessment system: conceptual and technical design.

PubMed

Reilly, C A; Zielstorff, R D; Fox, R L; O'Connell, E M; Carroll, D L; Conley, K A; Fitzgerald, P; Eng, T K; Martin, A; Zidik, C M; Segal, M

2000-01-01

This paper describes the design of an inpatient patient assessment application that captures nursing assessment data using a wireless laptop computer. The primary aim of this system is to capture structured information for facilitating decision support and quality monitoring. The system also aims to improve efficiency of recording patient assessments, reduce costs, and improve discharge planning and early identification of patient learning needs. Object-oriented methods were used to elicit functional requirements and to model the proposed system. A tools-based development approach is being used to facilitate rapid development and easy modification of assessment items and rules for decision support. Criteria for evaluation include perceived utility by clinician users, validity of decision support rules, time spent recording assessments, and perceived utility of aggregate reports for quality monitoring.

NATIONAL WATER-QUALITY ASSESSMENT (NAWQA) PROGRAM

EPA Science Inventory

The National Water-Quality Assessment (NAWQA) Program is designed to describe the status and trends in the quality of the Nations ground- and surface-water resources and to provide a sound understanding of the natural and human factors that affect the quality of these resources. ...

SU-F-J-143: Initial Assessment of Image Quality of An Integrated MR-Linac System with ACR Phantom

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

Wang, J; Fuller, C; Yung, J

Purpose/Objective(s): To assess the image quality of an integrated MR-Linac system and compare with other MRI systems that are primarily used for diagnostic purposes. Materials/Methods: An ACR MRI quality control (QC) phantom was used to evaluate the image quality of a fully integrated 1.5T MRI-Linac system recently installed at our institution. This system has a new split magnet design which gives the magnetic field strength of 1.5T. All images were acquired with a set of phased-array surface coils which are designed to have minimal attention of radiation beam. The anterior coil rests on a coil holder which keeps the anteriormore » coil’s position consistent for QA purposes. The posterior coil is imbedded in the patient couch. Multiple sets of T1, T2/PD images were acquired using the protocols as prescribed by the ACR on three different dates, ranging 3 months apart. Results: The geometric distortion are within 0.5 mm in the axial scans and within 1mm in the saggital (z-direction) scans. Slice thickness accuracy, image uniformity, ghosting ratio, high contrast detectability are comparable to other 1.5T diagnostic MRI scanners. The low-contrast object detectability are lower comparatively, which is a result of using the body array coil. Additionally, the beam’s-eye-view images (oblique coronal and saggital images) have minimal geometric distortion at all linac gantry angles tested. No observable changes or drift in image quality is found from images acquired 3 month apart. Conclusion: Despite the use of a body array surface coil, the image quality is comparable to that of an 1.5T MRI scanner and is of sufficient quality to pass the ACR MRI accreditation program. The geometric distortion of the MRI system of the integrated MR-Linac is within 1mm for an object size similar to the ACR phantom, sufficient for radiation therapy treatment purpose. The authors received corporate sponsored research grants from Elekta which is the vendor for the MR-Linac evaluated in

Learning Receptive Fields and Quality Lookups for Blind Quality Assessment of Stereoscopic Images.

PubMed

Shao, Feng; Lin, Weisi; Wang, Shanshan; Jiang, Gangyi; Yu, Mei; Dai, Qionghai

2016-03-01

Blind quality assessment of 3D images encounters more new challenges than its 2D counterparts. In this paper, we propose a blind quality assessment for stereoscopic images by learning the characteristics of receptive fields (RFs) from perspective of dictionary learning, and constructing quality lookups to replace human opinion scores without performance loss. The important feature of the proposed method is that we do not need a large set of samples of distorted stereoscopic images and the corresponding human opinion scores to learn a regression model. To be more specific, in the training phase, we learn local RFs (LRFs) and global RFs (GRFs) from the reference and distorted stereoscopic images, respectively, and construct their corresponding local quality lookups (LQLs) and global quality lookups (GQLs). In the testing phase, blind quality pooling can be easily achieved by searching optimal GRF and LRF indexes from the learnt LQLs and GQLs, and the quality score is obtained by combining the LRF and GRF indexes together. Experimental results on three publicly 3D image quality assessment databases demonstrate that in comparison with the existing methods, the devised algorithm achieves high consistent alignment with subjective assessment.

Standardizing Quality Assessment of Fused Remotely Sensed Images

NASA Astrophysics Data System (ADS)

Pohl, C.; Moellmann, J.; Fries, K.

2017-09-01

The multitude of available operational remote sensing satellites led to the development of many image fusion techniques to provide high spatial, spectral and temporal resolution images. The comparison of different techniques is necessary to obtain an optimized image for the different applications of remote sensing. There are two approaches in assessing image quality: 1. Quantitatively by visual interpretation and 2. Quantitatively using image quality indices. However an objective comparison is difficult due to the fact that a visual assessment is always subject and a quantitative assessment is done by different criteria. Depending on the criteria and indices the result varies. Therefore it is necessary to standardize both processes (qualitative and quantitative assessment) in order to allow an objective image fusion quality evaluation. Various studies have been conducted at the University of Osnabrueck (UOS) to establish a standardized process to objectively compare fused image quality. First established image fusion quality assessment protocols, i.e. Quality with No Reference (QNR) and Khan's protocol, were compared on varies fusion experiments. Second the process of visual quality assessment was structured and standardized with the aim to provide an evaluation protocol. This manuscript reports on the results of the comparison and provides recommendations for future research.

Associations between nutritional quality of meals and snacks assessed by the Food Standards Agency nutrient profiling system and overall diet quality and adiposity measures in British children and adolescents.

PubMed

Murakami, Kentaro

2018-05-01

This cross-sectional study examined how the nutritional quality of meals and snacks was associated with overall diet quality and adiposity measures. Based on 7-d weighed dietary record data, all eating occasions were divided into meals or snacks based on time (meals: 06:00-09:00 h, 12:00-14:00 h, and 17:00-20:00 h; snacks: others) or contribution to energy intake (meals: ≥15%; snacks: <15%) in British children aged 4-10 (n = 808) and adolescents aged 11-18 (n = 809). The nutritional quality of meals and snacks was assessed as the arithmetical energy intake-weighted means of the Food Standards Agency (FSA) nutrient profiling system score of each food and beverage consumed, based on the contents of energy, saturated fatty acid, total sugar, sodium, fruits/vegetables/nuts, dietary fiber, and protein. Regardless of the definition of meals and snacks, higher FSA score (lower nutritional quality) of meals was inversely associated with overall diet quality assessed by the Mediterranean diet score in both children and adolescents (P <0.0001), whereas the inverse associations for the FSA score of snacks did not reach statistical significance. The FSA score of meals based on time was inversely associated with body mass index z-score only in children, whereas that of snacks based on time showed a positive association. Lower nutritional quality of meals, but not snacks, assessed by the FSA score was associated with lower overall diet quality, whereas no consistent associations were observed with regard to adiposity measures. Copyright © 2017 Elsevier Inc. All rights reserved.

A scientifically based nationwide assessment of groundwater quality in the United States

USGS Publications Warehouse

Alley, W.M.; Cohen, P.

1991-01-01

Beginning in 1986, the U.S. Geological Survey began an effort to develop a National Water-Quality Assessment Program. The basic premise underlying this initiative is that a better understanding of the quality of water resources across the country, both surface- and groundwater, is needed to develop effective programs and policies to meet the nation's water-quality concerns. The program will focus on water-quality conditions that are prevalent or large in scale, such as occur from nonpoint sources of pollution or from a high density of point sources. The design of the program is substantially different from the traditional approach of a diffuse national monitoring network. The major activities of the assessment program will be clustered within a set of hydrologic systems (river basins and aquifer systems), referred to as study units. In aggregate, the study units will account for a large part of the nation's water use and represent a wide range of settings across the country. Unique attributes of the program include: (1) the use of consistent study approaches, field and laboratory methods, water-quality measurements, and ancillary data measurements for all study units; (2) the development of a progressive understanding of water-quality conditions and trends in each study unit through long-term studies that rotate periods of intensive data collection and analysis with periods during which the assessment activities are less intensive; and (3) the focus of considerable effort on synthesizing results from among the study units to provide information on regional and national water-quality issues. ?? 1991 Springer-Verlag New York Inc.

Country Immunization Information System Assessments - Kenya, 2015 and Ghana, 2016.

PubMed

Scott, Colleen; Clarke, Kristie E N; Grevendonk, Jan; Dolan, Samantha B; Ahmed, Hussein Osman; Kamau, Peter; Ademba, Peter Aswani; Osadebe, Lynda; Bonsu, George; Opare, Joseph; Diamenu, Stanley; Amenuvegbe, Gregory; Quaye, Pamela; Osei-Sarpong, Fred; Abotsi, Francis; Ankrah, Joseph Dwomor; MacNeil, Adam

2017-11-10

The collection, analysis, and use of data to measure and improve immunization program performance are priorities for the World Health Organization (WHO), global partners, and national immunization programs (NIPs). High quality data are essential for evidence-based decision-making to support successful NIPs. Consistent recording and reporting practices, optimal access to and use of health information systems, and rigorous interpretation and use of data for decision-making are characteristics of high-quality immunization information systems. In 2015 and 2016, immunization information system assessments (IISAs) were conducted in Kenya and Ghana using a new WHO and CDC assessment methodology designed to identify root causes of immunization data quality problems and facilitate development of plans for improvement. Data quality challenges common to both countries included low confidence in facility-level target population data (Kenya = 50%, Ghana = 53%) and poor data concordance between child registers and facility tally sheets (Kenya = 0%, Ghana = 3%). In Kenya, systemic challenges included limited supportive supervision and lack of resources to access electronic reporting systems; in Ghana, challenges included a poorly defined subdistrict administrative level. Data quality improvement plans (DQIPs) based on assessment findings are being implemented in both countries. IISAs can help countries identify and address root causes of poor immunization data to provide a stronger evidence base for future investments in immunization programs.

Meat Quality Assessment by Electronic Nose (Machine Olfaction Technology)

PubMed Central

Ghasemi-Varnamkhasti, Mahdi; Mohtasebi, Seyed Saeid; Siadat, Maryam; Balasubramanian, Sundar

2009-01-01

Over the last twenty years, newly developed chemical sensor systems (so called “electronic noses”) have made odor analyses possible. These systems involve various types of electronic chemical gas sensors with partial specificity, as well as suitable statistical methods enabling the recognition of complex odors. As commercial instruments have become available, a substantial increase in research into the application of electronic noses in the evaluation of volatile compounds in food, cosmetic and other items of everyday life is observed. At present, the commercial gas sensor technologies comprise metal oxide semiconductors, metal oxide semiconductor field effect transistors, organic conducting polymers, and piezoelectric crystal sensors. Further sensors based on fibreoptic, electrochemical and bi-metal principles are still in the developmental stage. Statistical analysis techniques range from simple graphical evaluation to multivariate analysis such as artificial neural network and radial basis function. The introduction of electronic noses into the area of food is envisaged for quality control, process monitoring, freshness evaluation, shelf-life investigation and authenticity assessment. Considerable work has already been carried out on meat, grains, coffee, mushrooms, cheese, sugar, fish, beer and other beverages, as well as on the odor quality evaluation of food packaging material. This paper describes the applications of these systems for meat quality assessment, where fast detection methods are essential for appropriate product management. The results suggest the possibility of using this new technology in meat handling. PMID:22454572

Soil quality assessment using weighted fuzzy association rules

USGS Publications Warehouse

Xue, Yue-Ju; Liu, Shu-Guang; Hu, Yue-Ming; Yang, Jing-Feng

2010-01-01

Fuzzy association rules (FARs) can be powerful in assessing regional soil quality, a critical step prior to land planning and utilization; however, traditional FARs mined from soil quality database, ignoring the importance variability of the rules, can be redundant and far from optimal. In this study, we developed a method applying different weights to traditional FARs to improve accuracy of soil quality assessment. After the FARs for soil quality assessment were mined, redundant rules were eliminated according to whether the rules were significant or not in reducing the complexity of the soil quality assessment models and in improving the comprehensibility of FARs. The global weights, each representing the importance of a FAR in soil quality assessment, were then introduced and refined using a gradient descent optimization method. This method was applied to the assessment of soil resources conditions in Guangdong Province, China. The new approach had an accuracy of 87%, when 15 rules were mined, as compared with 76% from the traditional approach. The accuracy increased to 96% when 32 rules were mined, in contrast to 88% from the traditional approach. These results demonstrated an improved comprehensibility of FARs and a high accuracy of the proposed method.

National Water-Quality Assessment (NAWQA) Area-Characterization Toolbox

USGS Publications Warehouse

Price, Curtis

2010-01-01

This is release 1.0 of the National Water-Quality Assessment (NAWQA) Area-Characterization Toolbox. These tools are designed to be accessed using ArcGIS Desktop software (versions 9.3 and 9.3.1). The toolbox is composed of a collection of custom tools that implement geographic information system (GIS) techniques used by the NAWQA Program to characterize aquifer areas, drainage basins, and sampled wells.

Online Faculty Development and Assessment System (OFDAS)

ERIC Educational Resources Information Center

Villar, Luis M.; Alegre, Olga M.

2006-01-01

The rapid growth of online learning has led to the development of faculty inservice evaluation models focused on quality improvement of degree programs. Based on current "best practices" of student online assessment, the Online Faculty Development and Assessment System (OFDAS), created at the Canary Islands, was designed to serve the…

Does a quality management system improve quality in primary care practices in Switzerland? A longitudinal study

PubMed Central

Goetz, Katja; Hess, Sigrid; Jossen, Marianne; Huber, Felix; Rosemann, Thomas; Brodowski, Marc; Künzi, Beat; Szecsenyi, Joachim

2015-01-01

Objectives To examine the effectiveness of the quality management programme—European Practice Assessment—in primary care in Switzerland. Design Longitudinal study with three points of measurement. Setting Primary care practices in Switzerland. Participants In total, 45 of 91 primary care practices completed European Practice Assessment three times. Outcomes The interval between each assessment was around 36 months. A variance analyses for repeated measurements were performed for all 129 quality indicators from the domains: ‘infrastructure’, ‘information’, ‘finance’, and ‘quality and safety’ to examine changes over time. Results Significant improvements were found in three of four domains: ‘quality and safety’ (F=22.81, p<0.01), ‘information’ (F=27.901, p<0.01) and ‘finance’ (F=4.073, p<0.02). The 129 quality indicators showed a significant improvement within the three points of measurement (F=33.864, p<0.01). Conclusions The European Practice Assessment for primary care practices thus provides a functioning quality management programme, focusing on the sustainable improvement of structural and organisational aspects to promote high quality of primary care. The implementation of a quality management system which also includes a continuous improvement process would give added value to provide good care. PMID:25900466

Maximising Confidence in Assessment Decision-Making: A Springboard to Quality in Assessment.

ERIC Educational Resources Information Center

Clayton, Berwyn; Booth, Robin; Roy, Sue

The introduction of training packages has focused attention on the quality of assessment in the Australian vocational education and training (VET) sector on the quality of assessment. For the process of mutual recognition under the Australian Recognition Framework (ARF) to work effectively, there needs to be confidence in assessment decisions made…

A manufacturing quality assessment model based-on two stages interval type-2 fuzzy logic

NASA Astrophysics Data System (ADS)

Purnomo, Muhammad Ridwan Andi; Helmi Shintya Dewi, Intan

2016-01-01

This paper presents the development of an assessment models for manufacturing quality using Interval Type-2 Fuzzy Logic (IT2-FL). The proposed model is developed based on one of building block in sustainable supply chain management (SSCM), which is benefit of SCM, and focuses more on quality. The proposed model can be used to predict the quality level of production chain in a company. The quality of production will affect to the quality of product. Practically, quality of production is unique for every type of production system. Hence, experts opinion will play major role in developing the assessment model. The model will become more complicated when the data contains ambiguity and uncertainty. In this study, IT2-FL is used to model the ambiguity and uncertainty. A case study taken from a company in Yogyakarta shows that the proposed manufacturing quality assessment model can work well in determining the quality level of production.

Carbon Nanotube Material Quality Assessment

NASA Technical Reports Server (NTRS)

Yowell, Leonard; Arepalli, Sivaram; Sosa, Edward; Niolaev, Pavel; Gorelik, Olga

2006-01-01

The nanomaterial activities at NASA Johnson Space Center focus on carbon nanotube production, characterization and their applications for aerospace systems. Single wall carbon nanotubes are produced by arc and laser methods. Characterization of the nanotube material is performed using the NASA JSC protocol developed by combining analytical techniques of SEM, TEM, UV-VIS-NIR absorption, Raman, and TGA. A possible addition of other techniques such as XPS, and ICP to the existing protocol will be discussed. Changes in the quality of the material collected in different regions of the arc and laser production chambers is assessed using the original JSC protocol. The observed variations indicate different growth conditions in different regions of the production chambers.

Groundwater quality data from the National Water-Quality Assessment Project, May 2012 through December 2013

USGS Publications Warehouse

Arnold, Terri L.; Desimone, Leslie A.; Bexfield, Laura M.; Lindsey, Bruce D.; Barlow, Jeannie R.; Kulongoski, Justin T.; Musgrove, MaryLynn; Kingsbury, James A.; Belitz, Kenneth

2016-06-20

Groundwater-quality data were collected from 748 wells as part of the National Water-Quality Assessment Project of the U.S. Geological Survey National Water-Quality Program from May 2012 through December 2013. The data were collected from four types of well networks: principal aquifer study networks, which assess the quality of groundwater used for public water supply; land-use study networks, which assess land-use effects on shallow groundwater quality; major aquifer study networks, which assess the quality of groundwater used for domestic supply; and enhanced trends networks, which evaluate the time scales during which groundwater quality changes. Groundwater samples were analyzed for a large number of water-quality indicators and constituents, including major ions, nutrients, trace elements, volatile organic compounds, pesticides, and radionuclides. These groundwater quality data are tabulated in this report. Quality-control samples also were collected; data from blank and replicate quality-control samples are included in this report.

Assessment of reservoir system variable forecasts

NASA Astrophysics Data System (ADS)

Kistenmacher, Martin; Georgakakos, Aris P.

2015-05-01

Forecast ensembles are a convenient means to model water resources uncertainties and to inform planning and management processes. For multipurpose reservoir systems, forecast types include (i) forecasts of upcoming inflows and (ii) forecasts of system variables and outputs such as reservoir levels, releases, flood damage risks, hydropower production, water supply withdrawals, water quality conditions, navigation opportunities, and environmental flows, among others. Forecasts of system variables and outputs are conditional on forecasted inflows as well as on specific management policies and can provide useful information for decision-making processes. Unlike inflow forecasts (in ensemble or other forms), which have been the subject of many previous studies, reservoir system variable and output forecasts are not formally assessed in water resources management theory or practice. This article addresses this gap and develops methods to rectify potential reservoir system forecast inconsistencies and improve the quality of management-relevant information provided to stakeholders and managers. The overarching conclusion is that system variable and output forecast consistency is critical for robust reservoir management and needs to be routinely assessed for any management model used to inform planning and management processes. The above are demonstrated through an application from the Sacramento-American-San Joaquin reservoir system in northern California.

Investigating organizational quality improvement systems, patient empowerment, organizational culture, professional involvement and the quality of care in European hospitals: the 'Deepening our Understanding of Quality Improvement in Europe (DUQuE)' project.

PubMed

Groene, Oliver; Klazinga, Niek; Wagner, Cordula; Arah, Onyebuchi A; Thompson, Andrew; Bruneau, Charles; Suñol, Rosa

2010-09-24

Hospitals in European countries apply a wide range of quality improvement strategies. Knowledge of the effectiveness of these strategies, implemented as part of an overall hospital quality improvement system, is limited. We propose to study the relationships among organisational quality improvement systems, patient empowerment, organisational culture, professionals' involvement with the quality of hospital care, including clinical effectiveness, patient safety and patient involvement. We will employ a cross-sectional, multi-level study design in which patient-level measurements are nested in hospital departments, which are in turn nested in hospitals in different EU countries. Mixed methods will be used for data collection, measurement and analysis. Hospital/care pathway level constructs that will be assessed include external pressure, hospital governance, quality improvement system, patient empowerment in quality improvement, organisational culture and professional involvement. These constructs will be assessed using questionnaires. Patient-level constructs include clinical effectiveness, patient safety and patient involvement, and will be assessed using audit of patient records, routine data and patient surveys. For the assessment of hospital and pathway level constructs we will collect data from randomly selected hospitals in eight countries. For a sample of hospitals in each country we will carry out additional data collection at patient-level related to four conditions (stroke, acute myocardial infarction, hip fracture and delivery). In addition, structural components of quality improvement systems will be assessed using visits by experienced external assessors. Data analysis will include descriptive statistics and graphical representations and methods for data reduction, classification techniques and psychometric analysis, before moving to bi-variate and multivariate analysis. The latter will be conducted at hospital and multilevel. In addition, we will apply

Assessing Assessment Quality: Criteria for Quality Assurance in Design of (Peer) Assessment for Learning--A Review of Research Studies

ERIC Educational Resources Information Center

Tillema, Harm; Leenknecht, Martijn; Segers, Mien

2011-01-01

The interest in "assessment for learning" (AfL) has resulted in a search for new modes of assessment that are better aligned to students' learning how to learn. However, with the introduction of new assessment tools, also questions arose with respect to the quality of its measurement. On the one hand, the appropriateness of traditional,…

Assessing Quality in Home Visiting Programs

ERIC Educational Resources Information Center

Korfmacher, Jon; Laszewski, Audrey; Sparr, Mariel; Hammel, Jennifer

2013-01-01

Defining quality and designing a quality assessment measure for home visitation programs is a complex and multifaceted undertaking. This article summarizes the process used to create the Home Visitation Program Quality Rating Tool (HVPQRT) and identifies next steps for its development. The HVPQRT measures both structural and dynamic features of…

Quality assessment for color reproduction using a blind metric

NASA Astrophysics Data System (ADS)

Bringier, B.; Quintard, L.; Larabi, M.-C.

2007-01-01

This paper deals with image quality assessment. This field plays nowadays an important role in various image processing applications. Number of objective image quality metrics, that correlate or not, with the subjective quality have been developed during the last decade. Two categories of metrics can be distinguished, the first with full-reference and the second with no-reference. Full-reference metric tries to evaluate the distortion introduced to an image with regards to the reference. No-reference approach attempts to model the judgment of image quality in a blind way. Unfortunately, the universal image quality model is not on the horizon and empirical models established on psychophysical experimentation are generally used. In this paper, we focus only on the second category to evaluate the quality of color reproduction where a blind metric, based on human visual system modeling is introduced. The objective results are validated by single-media and cross-media subjective tests.

Measuring and Improving the Quality of Preprocedural Assessments.

PubMed

Manji, Farah; McCarty, Kelsey; Kurzweil, Vanessa; Mark, Eden; Rathmell, James P; Agarwala, Aalok V

2017-06-01

testing clinic or phone program (P < .0001). The most common reason given for "unsatisfactory" ratings was a perception of "missing information" (49.2%). Chart reviews revealed that inadequate documentation was in reality the most common deficiency in preprocedural evaluations (35 of 67 reviews, 52.2%). The overwhelming majority of preprocedural assessments performed at our institution were considered satisfactory or exemplary by day-of-surgery anesthesia providers. This was demonstrated by both the case-by-case ratings and midpoint survey. However, the perceived frequency of "unsatisfactory" evaluations was worse when providers were asked to reflect on the quality of preprocedural evaluations generally versus rate them individually. Analysis of comments left by providers allowed us to identify specific and actionable areas for improvement. This method can be used by other institutions to identify systemic deficiencies in the preprocedural evaluation process.

Do European hospitals have quality and safety governance systems and structures in place?

PubMed

Shaw, C; Kutryba, B; Crisp, H; Vallejo, P; Suñol, R

2009-02-01

Internal systems for quality and safety were assessed in 89 hospitals in six European states, by external teams using standardised criteria and procedures, as part of the Methods of Assessing Response to Quality Improvement Strategies (MARQuIS) project. The assessments were made primarily to identify the current use of quality management systems in the sample hospitals, and also to demonstrate a potential tool for comparable assessment of hospitals in general. The large majority of the hospitals had a formal, documented infrastructure to manage quality and safety, but a significant minority had no designated mission, programme or coordination. In two-thirds of hospitals, the governing body was active in defining policy and programmes for improvement, and received reports on quality, safety and patient satisfaction at least once a year. The brief on-site assessments identified systematic variations, within and between countries, in structures and processes of governance and to document the uptake of best practice. Unacceptable variations in practice could be reduced, to the benefit of consumers and providers, by developing and publishing basic organisational standards relevant to all European states. The simple assessment criteria designed for this project could be developed into a practical tool for self-assessment, peer review or benchmarking of hospitals across national borders. This assessment, combined with explicit, relevant and achievable standards, could provide a vehicle to promote the voluntary uptake of best practice and consistency in quality and safety among hospitals in Europe.

Assessment of eco-environmental quality of Western Taiwan Straits Economic Zone.

PubMed

Ma, He; Shi, Longyu

2016-05-01

Regional eco-environmental quality is the key and foundation to the sustainable socio-economic development of a region. Eco-environmental quality assessment can reveal the capacity of sustainable socio-economic development in a region and the degree of coordination between social production and the living environment. As part of a new development strategy for Fujian Province, the Western Taiwan Straits Economic Zone (hereafter referred to as the Economic Zone) provides an important guarantee for the development of China's southeastern coastal area. Based on ecological and remote sensing data on the Economic Zone obtained in 2000, 2005, and 2010, this study investigated county-level administrative regions with a comprehensive index of eco-environmental indicators. An objective weighting method was used to determine the importance of each indicator. This led to the development of an indicator system to assess the eco-environmental quality of the economic zone. ArcGIS software was used to assess the eco-environmental quality of the economic zone based on each indicator. The eco-environmental quality index (EQI) of the county-level administrative regions was calculated. The overall eco-environmental quality of the Economic Zone during the period studied is described and analyzed. The results show that the overall eco-environmental quality of the Economic Zone is satisfactory, but significant intraregional differences still exist. The key to improving the overall eco-environmental quality of this area is to restore vegetation and preserve biodiversity.

Rating methodological quality: toward improved assessment and investigation.

PubMed

Moyer, Anne; Finney, John W

2005-01-01

Assessing methodological quality is considered essential in deciding what investigations to include in research syntheses and in detecting potential sources of bias in meta-analytic results. Quality assessment is also useful in characterizing the strengths and limitations of the research in an area of study. Although numerous instruments to measure research quality have been developed, they have lacked empirically-supported components. In addition, different summary quality scales have yielded different findings when they were used to weight treatment effect estimates for the same body of research. Suggestions for developing improved quality instruments include: distinguishing distinct domains of quality, such as internal validity, external validity, the completeness of the study report, and adherence to ethical practices; focusing on individual aspects, rather than domains of quality; and focusing on empirically-verified criteria. Other ways to facilitate the constructive use of quality assessment are to improve and standardize the reporting of research investigations, so that the quality of studies can be more equitably and thoroughly compared, and to identify optimal methods for incorporating study quality ratings into meta-analyses.

Human Variome Project Quality Assessment Criteria for Variation Databases.

PubMed

Vihinen, Mauno; Hancock, John M; Maglott, Donna R; Landrum, Melissa J; Schaafsma, Gerard C P; Taschner, Peter

2016-06-01

Numerous databases containing information about DNA, RNA, and protein variations are available. Gene-specific variant databases (locus-specific variation databases, LSDBs) are typically curated and maintained for single genes or groups of genes for a certain disease(s). These databases are widely considered as the most reliable information source for a particular gene/protein/disease, but it should also be made clear they may have widely varying contents, infrastructure, and quality. Quality is very important to evaluate because these databases may affect health decision-making, research, and clinical practice. The Human Variome Project (HVP) established a Working Group for Variant Database Quality Assessment. The basic principle was to develop a simple system that nevertheless provides a good overview of the quality of a database. The HVP quality evaluation criteria that resulted are divided into four main components: data quality, technical quality, accessibility, and timeliness. This report elaborates on the developed quality criteria and how implementation of the quality scheme can be achieved. Examples are provided for the current status of the quality items in two different databases, BTKbase, an LSDB, and ClinVar, a central archive of submissions about variants and their clinical significance. © 2016 WILEY PERIODICALS, INC.

Quality Assessment in Oncology

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

Albert, Jeffrey M.; Das, Prajnan, E-mail: prajdas@mdanderson.org

2012-07-01

The movement to improve healthcare quality has led to a need for carefully designed quality indicators that accurately reflect the quality of care. Many different measures have been proposed and continue to be developed by governmental agencies and accrediting bodies. However, given the inherent differences in the delivery of care among medical specialties, the same indicators will not be valid across all of them. Specifically, oncology is a field in which it can be difficult to develop quality indicators, because the effectiveness of an oncologic intervention is often not immediately apparent, and the multidisciplinary nature of the field necessarily involvesmore » many different specialties. Existing and emerging comparative effectiveness data are helping to guide evidence-based practice, and the increasing availability of these data provides the opportunity to identify key structure and process measures that predict for quality outcomes. The increasing emphasis on quality and efficiency will continue to compel the medical profession to identify appropriate quality measures to facilitate quality improvement efforts and to guide accreditation, credentialing, and reimbursement. Given the wide-reaching implications of quality metrics, it is essential that they be developed and implemented with scientific rigor. The aims of the present report were to review the current state of quality assessment in oncology, identify existing indicators with the best evidence to support their implementation, and propose a framework for identifying and refining measures most indicative of true quality in oncologic care.« less

[Effectiveness of incorporating a quality management system].

PubMed

Seki, Akira; Hankins, Raleigh W; Miya, Tetsumasa

2010-01-01

In 2003, the ISO 15189 international standardization program on the quality and competence of the clinical reference laboratory was introduced. To date, 46 facilities have committed themselves to providing a higher level of medical service by incorporating a quality management system (QMS) and acquiring accreditation. QMS is defined as "setting up a policy and goals pertaining to quality, and adopting an appropriate system," and is a scheme that includes all managerial and technical factors that can affect test results. Regarding the Health Sciences Research Institute Group, 4 facilities have previously received the accreditation described above, but in the process of implementing the QMS, a number of problems have been identified. Here, we report on the effectiveness of adopting such a QMS based on the results of employee questionnaires, internal audits, customer complaint analyses, and external audits by the Japan Accreditation Board for Conformity Assessment (JAB), the official inspection body for accreditation.

Assessing quality in volcanic ash soils

Treesearch

Terry L. Craigg; Steven W. Howes

2007-01-01

Forest managers must understand how changes in soil quality resulting from project implementation affect long-term productivity and watershed health. Volcanic ash soils have unique properties that affect their quality and function; and which may warrant soil quality standards and assessment techniques that are different from other soils. We discuss the concept of soil...

QCloud: A cloud-based quality control system for mass spectrometry-based proteomics laboratories

PubMed Central

Chiva, Cristina; Olivella, Roger; Borràs, Eva; Espadas, Guadalupe; Pastor, Olga; Solé, Amanda

2018-01-01

The increasing number of biomedical and translational applications in mass spectrometry-based proteomics poses new analytical challenges and raises the need for automated quality control systems. Despite previous efforts to set standard file formats, data processing workflows and key evaluation parameters for quality control, automated quality control systems are not yet widespread among proteomics laboratories, which limits the acquisition of high-quality results, inter-laboratory comparisons and the assessment of variability of instrumental platforms. Here we present QCloud, a cloud-based system to support proteomics laboratories in daily quality assessment using a user-friendly interface, easy setup, automated data processing and archiving, and unbiased instrument evaluation. QCloud supports the most common targeted and untargeted proteomics workflows, it accepts data formats from different vendors and it enables the annotation of acquired data and reporting incidences. A complete version of the QCloud system has successfully been developed and it is now open to the proteomics community (http://qcloud.crg.eu). QCloud system is an open source project, publicly available under a Creative Commons License Attribution-ShareAlike 4.0. PMID:29324744

Assessment of maternal health care quality: conceptual and methodologic issues.

PubMed

Lane, D S; Kelman, H R

1975-10-01

Past efforts in assessment of the quality of maternity care have been analyzed in order to develop an evaluation framework that will have utility and applicability beyond a specific program, population, or health discipline. Presently available evaluation approaches have focused attention on either "high risk" populations or upon women experiencing a complicated pregnancy or delivery. Quality has been defined as the extent to which normative or empirically derived standards of obstetrical care have been applied. An alternative approach is suggested which conceives of the pregnancy as a normal physiological event but with the potentiality of either causing or exacerbating social or health problems. Maternity care quality is viewed as the application of those necessary health and health-related services that are required to safeguard the health of the mother and offspring, minimize the noxious consequences of pre-existing or concurrent health hazards or conditions, and upgrade the health and social functioning of those women who require it. Additionally, the system of services should be functionally organized to optimize care. Indicators of quality are suggested which incorporate structural, process, and outcome variables, and which link medical and consumer criteria in a comprehensive community level approach to quality assessment.

Understanding the Impacts of Quality Assessment: An Exploratory Use of Cultural Theory

ERIC Educational Resources Information Center

Veiga, Amelia; Rosa, Maria Joao; Amaral, Alberto

2011-01-01

Cultural theory is tentatively used to understand how far quality assessment affects institutions by influencing the group and grid dimensions. This paper argues that the self-assessment phase of the Portuguese system, in use until recently, promoted the egalitarian (logic of mistrusting power and expertise) and the individualist (logic of freedom…

Assessing the Quality of Teachers' Teaching Practices

ERIC Educational Resources Information Center

Chen, Weiyun; Mason, Stephen; Staniszewski, Christina; Upton, Ashley; Valley, Megan

2012-01-01

This study assessed the extent to which nine elementary physical education teachers implemented the quality of teaching practices. Thirty physical education lessons taught by the nine teachers to their students in grades K-5 were videotaped. Four investigators coded the taped lessons using the Assessing Quality Teaching Rubric (AQTR) designed and…

The Midwest Stream Quality Assessment

USGS Publications Warehouse

,

2012-01-01

In 2013, the U.S. Geological Survey (USGS) National Water-Quality Assessment Program (NAWQA) and USGS Columbia Environmental Research Center (CERC) will be collaborating with the U.S. Environmental Protection Agency (EPA) National Rivers and Streams Assessment (NRSA) to assess stream quality across the Midwestern United States. The sites selected for this study are a subset of the larger NRSA, implemented by the EPA, States and Tribes to sample flowing waters across the United States (http://water.epa.gov/type/rsl/monitoring/riverssurvey/index.cfm). The goals are to characterize water-quality stressors—contaminants, nutrients, and sediment—and ecological conditions in streams throughout the Midwest and to determine the relative effects of these stressors on aquatic organisms in the streams. Findings will contribute useful information for communities and policymakers by identifying which human and environmental factors are the most critical in controlling stream quality. This collaborative study enhances information provided to the public and policymakers and minimizes costs by leveraging and sharing data gathered under existing programs. In the spring and early summer, NAWQA will sample streams weekly for contaminants, nutrients, and sediment. During the same time period, CERC will test sediment and water samples for toxicity, deploy time-integrating samplers, and measure reproductive effects and biomarkers of contaminant exposure in fish or amphibians. NRSA will sample sites once during the summer to assess ecological and habitat conditions in the streams by collecting data on algal, macroinvertebrate, and fish communities and collecting detailed physical-habitat measurements. Study-team members from all three programs will work in collaboration with USGS Water Science Centers and State agencies on study design, execution of sampling and analysis, and reporting.

Quality Assessment Parameters for Student Support at Higher Education Institutions

ERIC Educational Resources Information Center

Sajiene, Laima; Tamuliene, Rasa

2012-01-01

The research presented in this article aims to validate quality assessment parameters for student support at higher education institutions. Student support is discussed as the system of services provided by a higher education institution which helps to develop student-centred curriculum and fulfils students' emotional, academic, social needs, and…

Assessing Pre-Service Teachers' Quality Teaching Practices

ERIC Educational Resources Information Center

Chen, Weiyun; Hendricks, Kristin; Archibald, Kelsi

2011-01-01

The purpose of this study was to design and validate the Assessing Quality Teaching Rubrics (AQTR) that assesses the pre-service teachers' quality teaching practices in a live lesson or a videotaped lesson. Twenty-one lessons taught by 13 Physical Education Teacher Education (PETE) students were videotaped. The videotaped lessons were evaluated…

The WHO AFRO external quality assessment programme (EQAP): Linking laboratory networks through EQA programmes.

PubMed

Boeras, Debrah I; Peeling, Rosanna W; Onyebujoh, Philip; Yahaya, Ali A; Gumede-Moeletsi, Hieronyma N; Ndihokubwayo, Jean B

2016-01-01

External Quality Assessment (EQA) surveys performed by the World Health Organization Regional Office for Africa (WHO AFRO) revealed the need for the strengthening of public health microbiology laboratories, particularly for testing of epidemic-prone diseases in the African Region. These surveys revealed common issues such as supply chain management, skilled personnel, logistical support and overall lack of quality standards. For sustainable improvements to health systems as well as global health security, deficiencies identified need to be actively corrected through robust quality assurance programmes and implementation of laboratory quality management systems. Given all the pathogens of public health importance, an external quality assessment programme with a focus on vaccine-preventable diseases and emerging and re-emerging dangerous pathogens is important, and should not be stand-alone, but integrated within laboratory networks as seen in polio, measles, yellow fever and rubella. In 2015, WHO AFRO collaborated with the US Centers for Disease Control and Prevention, the London School of Hygiene & Tropical Medicine and partners in a series of consultations with countries and national and regional EQA providers for the development of quality assurance models to support HIV point-of-care testing and monitoring. These consultations revealed similar challenges as seen in the WHO AFRO surveys. WHO AFRO brought forth its experience in implementing quality standards for health programmes, and also opened discussions on how lessons learned through such established programmes can be utilised to supporting and strengthening the introduction of early infant diagnosis of HIV and viral load point-of-care testing. An optimised external quality assessment programme will impact the ability of countries to meet core capacities, providing improved quality management systems, improving the confidence of diagnostic network services in Africa, and including capacities to detect events

The WHO AFRO external quality assessment programme (EQAP): Linking laboratory networks through EQA programmes

PubMed Central

Yahaya, Ali A.; Gumede-Moeletsi, Hieronyma N.

2016-01-01

External Quality Assessment (EQA) surveys performed by the World Health Organization Regional Office for Africa (WHO AFRO) revealed the need for the strengthening of public health microbiology laboratories, particularly for testing of epidemic-prone diseases in the African Region. These surveys revealed common issues such as supply chain management, skilled personnel, logistical support and overall lack of quality standards. For sustainable improvements to health systems as well as global health security, deficiencies identified need to be actively corrected through robust quality assurance programmes and implementation of laboratory quality management systems. Given all the pathogens of public health importance, an external quality assessment programme with a focus on vaccine-preventable diseases and emerging and re-emerging dangerous pathogens is important, and should not be stand-alone, but integrated within laboratory networks as seen in polio, measles, yellow fever and rubella. In 2015, WHO AFRO collaborated with the US Centers for Disease Control and Prevention, the London School of Hygiene & Tropical Medicine and partners in a series of consultations with countries and national and regional EQA providers for the development of quality assurance models to support HIV point-of-care testing and monitoring. These consultations revealed similar challenges as seen in the WHO AFRO surveys. WHO AFRO brought forth its experience in implementing quality standards for health programmes, and also opened discussions on how lessons learned through such established programmes can be utilised to supporting and strengthening the introduction of early infant diagnosis of HIV and viral load point-of-care testing. An optimised external quality assessment programme will impact the ability of countries to meet core capacities, providing improved quality management systems, improving the confidence of diagnostic network services in Africa, and including capacities to detect events

The effect of clustering on lot quality assurance sampling: a probabilistic model to calculate sample sizes for quality assessments

PubMed Central

2013-01-01

Background Traditional Lot Quality Assurance Sampling (LQAS) designs assume observations are collected using simple random sampling. Alternatively, randomly sampling clusters of observations and then individuals within clusters reduces costs but decreases the precision of the classifications. In this paper, we develop a general framework for designing the cluster(C)-LQAS system and illustrate the method with the design of data quality assessments for the community health worker program in Rwanda. Results To determine sample size and decision rules for C-LQAS, we use the beta-binomial distribution to account for inflated risk of errors introduced by sampling clusters at the first stage. We present general theory and code for sample size calculations. The C-LQAS sample sizes provided in this paper constrain misclassification risks below user-specified limits. Multiple C-LQAS systems meet the specified risk requirements, but numerous considerations, including per-cluster versus per-individual sampling costs, help identify optimal systems for distinct applications. Conclusions We show the utility of C-LQAS for data quality assessments, but the method generalizes to numerous applications. This paper provides the necessary technical detail and supplemental code to support the design of C-LQAS for specific programs. PMID:24160725

The effect of clustering on lot quality assurance sampling: a probabilistic model to calculate sample sizes for quality assessments.

PubMed

Hedt-Gauthier, Bethany L; Mitsunaga, Tisha; Hund, Lauren; Olives, Casey; Pagano, Marcello

2013-10-26

Traditional Lot Quality Assurance Sampling (LQAS) designs assume observations are collected using simple random sampling. Alternatively, randomly sampling clusters of observations and then individuals within clusters reduces costs but decreases the precision of the classifications. In this paper, we develop a general framework for designing the cluster(C)-LQAS system and illustrate the method with the design of data quality assessments for the community health worker program in Rwanda. To determine sample size and decision rules for C-LQAS, we use the beta-binomial distribution to account for inflated risk of errors introduced by sampling clusters at the first stage. We present general theory and code for sample size calculations.The C-LQAS sample sizes provided in this paper constrain misclassification risks below user-specified limits. Multiple C-LQAS systems meet the specified risk requirements, but numerous considerations, including per-cluster versus per-individual sampling costs, help identify optimal systems for distinct applications. We show the utility of C-LQAS for data quality assessments, but the method generalizes to numerous applications. This paper provides the necessary technical detail and supplemental code to support the design of C-LQAS for specific programs.

Quality assessment of color images based on the measure of just noticeable color difference

NASA Astrophysics Data System (ADS)

Chou, Chun-Hsien; Hsu, Yun-Hsiang

2014-01-01

Accurate assessment on the quality of color images is an important step to many image processing systems that convey visual information of the reproduced images. An accurate objective image quality assessment (IQA) method is expected to give the assessment result highly agreeing with the subjective assessment. To assess the quality of color images, many approaches simply apply the metric for assessing the quality of gray scale images to each of three color channels of the color image, neglecting the correlation among three color channels. In this paper, a metric for assessing color images' quality is proposed, in which the model of variable just-noticeable color difference (VJNCD) is employed to estimate the visibility thresholds of distortion inherent in each color pixel. With the estimated visibility thresholds of distortion, the proposed metric measures the average perceptible distortion in terms of the quantized distortion according to the perceptual error map similar to that defined by National Bureau of Standards (NBS) for converting the color difference enumerated by CIEDE2000 to the objective score of perceptual quality assessment. The perceptual error map in this case is designed for each pixel according to the visibility threshold estimated by the VJNCD model. The performance of the proposed metric is verified by assessing the test images in the LIVE database, and is compared with those of many well-know IQA metrics. Experimental results indicate that the proposed metric is an effective IQA method that can accurately predict the image quality of color images in terms of the correlation between objective scores and subjective evaluation.

A Goal Orientation Analysis of Teachers' Motivations to Participate in the School Self-Assessment Processes of a Quality Assurance System in Chile

ERIC Educational Resources Information Center

Montecinos, Carmen; Madrid, Romina; Fernández, María Beatriz; Ahumada, Luis

2014-01-01

The current study examined the goal orientations that could be inferred from how teachers from six municipal schools in Chile described their understandings, emotions, and behaviors during their participation in the assessment phase of the School Management Quality Assurance System. Content analysis of focus group interview transcripts evidenced…

[Cardiology quality assessment in Germany--pro and contra].

PubMed

von Hodenberg, E; Eder, S; Grunebaum, P; Melichercik, J

2009-10-01

The German National Institute for Quality in Healthcare has also developed a program of external quality assessment in the field of cardiology. Hospitals are committed to collect certain data of diagnostic coronary angiography, percutaneous coronary interventions and pacemaker implantations. If statistical abnormalities are observed a so called structured dialogue is implemented. The responsible physicians of the hospitals are asked to comment possible quality deficits. Appointed members of quality commissions examine the answers and can invite the responsible physicians for interviews or also visit the hospital. However the validity of the quality data is problematic, because audits or check-ups of quality assessment in place are lacking. Therefore the results should not be misused for a comparison or ranking of hospitals with each other. As long as the validity of the quality assessment has not been improved, the results should also not be accessible for other parties, such as health insurances. Georg Thieme Verlag KG Stuttgart, New York.

Integrationof Remote Sensing and Geographic information system in Ground Water Quality Assessment and Management

NASA Astrophysics Data System (ADS)

Shakak, N.

2015-04-01

Spatial variations in ground water quality in the Khartoum state, Sudan, have been studied using geographic information system (GIS) and remote sensing technique. Gegraphical informtion system a tool which is used for storing, analyzing and displaying spatial data is also used for investigating ground water quality information. Khartoum landsat mosac image aquired in 2013was used, Arc/Gis software applied to extract the boundary of the study area, the image was classified to create land use/land cover map. The land use map,geological and soil map are used for correlation between land use , geological formations, and soil types to understand the source of natural pollution that can lower the ground water quality. For this study, the global positioning system (GPS), used in the field to identify the borehole location in a three dimentional coordinate (Latitude, longitude, and altitude), water samples were collected from 156 borehole wells, and analyzed for physico-chemical parameters like electrical conductivity, Total dissolved solid,Chloride, Nitrate, Sodium, Magnisium, Calcium,and Flouride, using standard techniques in the laboratory and compared with the standards.The ground water quality maps of the entire study area have been prepared using spatial interpolation technique for all the above parameters.then the created maps used to visualize, analyze, and understand the relationship among the measured points. Mapping was coded for potable zones, non-potable zones in the study area, in terms of water quality sutability for drinking water and sutability for irrigation. In general satellite remote sensing in conjunction with geographical information system (GIS) offers great potential for water resource development and management.

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

Colometer: a real-time quality feedback system for screening colonoscopy.

PubMed

Filip, Dobromir; Gao, Xuexin; Angulo-Rodríguez, Leticia; Mintchev, Martin P; Devlin, Shane M; Rostom, Alaa; Rosen, Wayne; Andrews, Christopher N

2012-08-28

To investigate the performance of a new software-based colonoscopy quality assessment system. The software-based system employs a novel image processing algorithm which detects the levels of image clarity, withdrawal velocity, and level of the bowel preparation in a real-time fashion from live video signal. Threshold levels of image blurriness and the withdrawal velocity below which the visualization could be considered adequate have initially been determined arbitrarily by review of sample colonoscopy videos by two experienced endoscopists. Subsequently, an overall colonoscopy quality rating was computed based on the percentage of the withdrawal time with adequate visualization (scored 1-5; 1, when the percentage was 1%-20%; 2, when the percentage was 21%-40%, etc.). In order to test the proposed velocity and blurriness thresholds, screening colonoscopy withdrawal videos from a specialized ambulatory colon cancer screening center were collected, automatically processed and rated. Quality ratings on the withdrawal were compared to the insertion in the same patients. Then, 3 experienced endoscopists reviewed the collected videos in a blinded fashion and rated the overall quality of each withdrawal (scored 1-5; 1, poor; 3, average; 5, excellent) based on 3 major aspects: image quality, colon preparation, and withdrawal velocity. The automated quality ratings were compared to the averaged endoscopist quality ratings using Spearman correlation coefficient. Fourteen screening colonoscopies were assessed. Adenomatous polyps were detected in 4/14 (29%) of the collected colonoscopy video samples. As a proof of concept, the Colometer software rated colonoscope withdrawal as having better visualization than the insertion in the 10 videos which did not have any polyps (average percent time with adequate visualization: 79% ± 5% for withdrawal and 50% ± 14% for insertion, P < 0.01). Withdrawal times during which no polyps were removed ranged from 4-12 min. The median quality

[The organization of system of quality management in large multitype hospital].

PubMed

Taĭts, B M; Krichmar, G N; Stvolinskiĭ, I Iu; Grandilevskaia, O L

2013-01-01

The article presents the characteristics and assessment of functioning of model of quality management in large multitype hospital. The results of work of the municipal hospital of Saint Venerable martyr Elizabeth of St Petersburg concerning the implementation of system of quality management in 2001-2011 of the foundation of principles of total quality management of medical service and principles of quality management according international standards ISO and their Russian analogues.

[Compatibility of different quality control systems].

PubMed

Invernizzi, Enrico

2002-01-01

Management of the good laboratory practice (GLP) quality system presupposes its linking to a basic recognized and approved quality system, from which it can draw on management procedures common to all quality systems, such as the ISO 9000 set of norms. A quality system organized in this way can also be integrated with other dedicated quality systems, or parts of them, to obtain principles or management procedures for specific topics. The aim of this organization is to set up a reliable, recognized quality system compatible with the principles of GLP and other quality management systems, which provides users with a simplified set of easily accessible management tools and answers. The organization of this quality system is set out in the quality assurance programme, which is actually the document in which the test facility incorporates the GLP principles into its own quality organization.

External Quality Assessment for Rubella Virus RNA Detection Using Armored RNA in China.

PubMed

Zhang, D; Lin, G; Yi, L; Hao, M; Fan, G; Yang, X; Peng, R; Ding, J; Zhang, K; Zhang, R; Li, J

2017-02-01

Although tremendous efforts have been made to reduce rubella incidence, there are still 300 new cases of congenital rubella syndrome daily; thus, rubella infections remain one of the leading causes of preventable congenital birth defects. An effective surveillance system, which could be achieved and maintained by using an external quality assessment program, is critical for prevention and control of this disease. Armored RNAs, which are noninfectious and RNase-resistant, were used for encapsulation of the E1 gene of rubella virus and for preparation of a 10-specimen panel for external quality assessment. Thirty-two laboratories across mainland China that used nucleic acid tests for rubella virus RNA detection were included in the external quality assessment program organized by the National Center for Clinical Laboratories of China. Different kinds of commercial kits were used by the laboratories for nucleic acid extraction and TaqMan real-time reverse-transcription PCR for rubella virus RNA detection; 99.2% sensitivity and 100% specificity were achieved in this external quality assessment program. Most of the participating laboratories obtained accurate results for rubella nucleic acid tests, thereby achieving the quality required for regional rubella and congenital rubella syndrome elimination.

Systems Engineering Metrics: Organizational Complexity and Product Quality Modeling

NASA Technical Reports Server (NTRS)

Mog, Robert A.

1997-01-01

Innovative organizational complexity and product quality models applicable to performance metrics for NASA-MSFC's Systems Analysis and Integration Laboratory (SAIL) missions and objectives are presented. An intensive research effort focuses on the synergistic combination of stochastic process modeling, nodal and spatial decomposition techniques, organizational and computational complexity, systems science and metrics, chaos, and proprietary statistical tools for accelerated risk assessment. This is followed by the development of a preliminary model, which is uniquely applicable and robust for quantitative purposes. Exercise of the preliminary model using a generic system hierarchy and the AXAF-I architectural hierarchy is provided. The Kendall test for positive dependence provides an initial verification and validation of the model. Finally, the research and development of the innovation is revisited, prior to peer review. This research and development effort results in near-term, measurable SAIL organizational and product quality methodologies, enhanced organizational risk assessment and evolutionary modeling results, and 91 improved statistical quantification of SAIL productivity interests.

A ranking index for quality assessment of forensic DNA profiles forensic DNA profiles

PubMed Central

2010-01-01

Background Assessment of DNA profile quality is vital in forensic DNA analysis, both in order to determine the evidentiary value of DNA results and to compare the performance of different DNA analysis protocols. Generally the quality assessment is performed through manual examination of the DNA profiles based on empirical knowledge, or by comparing the intensities (allelic peak heights) of the capillary electrophoresis electropherograms. Results We recently developed a ranking index for unbiased and quantitative quality assessment of forensic DNA profiles, the forensic DNA profile index (FI) (Hedman et al. Improved forensic DNA analysis through the use of alternative DNA polymerases and statistical modeling of DNA profiles, Biotechniques 47 (2009) 951-958). FI uses electropherogram data to combine the intensities of the allelic peaks with the balances within and between loci, using Principal Components Analysis. Here we present the construction of FI. We explain the mathematical and statistical methodologies used and present details about the applied data reduction method. Thereby we show how to adapt the ranking index for any Short Tandem Repeat-based forensic DNA typing system through validation against a manual grading scale and calibration against a specific set of DNA profiles. Conclusions The developed tool provides unbiased quality assessment of forensic DNA profiles. It can be applied for any DNA profiling system based on Short Tandem Repeat markers. Apart from crime related DNA analysis, FI can therefore be used as a quality tool in paternal or familial testing as well as in disaster victim identification. PMID:21062433

The Role of Reliability, Vulnerability and Resilience in the Management of Water Quality Systems

NASA Astrophysics Data System (ADS)

Lence, B. J.; Maier, H. R.

2001-05-01

The risk based performance indicators reliability, vulnerability and resilience provide measures of the frequency, magnitude and duration of the failure of water resources systems, respectively. They have been applied primarily to water supply problems, including the assessment of the performance of reservoirs and water distribution systems. Applications to water quality case studies have been limited, although the need to consider the length and magnitude of violations of a particular water quality standard has been recognized for some time. In this research, the role of reliability, vulnerability and resilience in water quality management applications is investigated by examining their significance as performance measures for water quality systems and assessing their potential for assisting in decision making processes. The importance of each performance indicator is discussed and a framework for classifying such systems, based on the relative significance of each of these indicators, is introduced and illustrated qualitatively with various case studies. Quantitative examples drawn from both lake and river water quality modeling exercises are then provided.

Assessing the Hydrologic Performance of the EPA's Nonpoint Source Water Quality Assessment Decision Support Tool Using North American Land Data Assimilation System (Products)

NASA Technical Reports Server (NTRS)

Lee, S.; Ni-Meister, W.; Toll, D.; Nigro, J.; Guiterrez-Magness, A.; Engman, T.

2010-01-01

The accuracy of streamflow predictions in the EPA's BASINS (Better Assessment Science Integrating Point and Nonpoint Sources) decision support tool is affected by the sparse meteorological data contained in BASINS. The North American Land Data Assimilation System (NLDAS) data with high spatial and temporal resolutions provide an alternative to the NOAA National Climatic Data Center (NCDC)'s station data. This study assessed the improvement of streamflow prediction of the Hydrological Simulation Program-FORTRAN (HSPF) model contained within BASINS using the NLDAS 118 degree hourly precipitation and evapotranspiration estimates in seven watersheds of the Chesapeake Bay region. Our results demonstrated consistent improvements of daily streamflow predictions in five of the seven watersheds when NLDAS precipitation and evapotranspiration data was incorporated into BASINS. The improvement of using the NLDAS data is significant when watershed's meteorological station is either far away or not in a similar climatic region. When the station is nearby, using the NLDAS data produces similar results. The correlation coefficients of the analyses using the NLDAS data were greater than 0.8, the Nash-Sutcliffe (NS) model fit efficiency greater than 0.6, and the error in the water balance was less than 5%. Our analyses also showed that the streamflow improvements were mainly contributed by the NLDAS's precipitation data and that the improvement from using NLDAS's evapotranspiration data was not significant; partially due to the constraints of current BASINS-HSPF settings. However, NLDAS's evapotranspiration data did improve the baseflow prediction. This study demonstrates the NLDAS data has the potential to improve stream flow predictions, thus aid the water quality assessment in the EPA nonpoint water quality assessment decision tool.

National quality improvement policies and strategies in European healthcare systems.

PubMed

Spencer, E; Walshe, K

2009-02-01

This survey provides an overview of the development of policies and strategies for quality improvement in European healthcare systems, by mapping quality improvement policies and strategies, progress in their implementation, and early indications of their impact. A survey of quality improvement policies and strategies in healthcare systems of the European Union was conducted in 2005 for the first phase of the Methods of Assessing Response to Quality Improvement Strategies (MARQuIS) project. The survey, completed by 68 key experts in quality improvement from 24 European Union member states, represents their views and accounts of quality improvement policies and strategies in their healthcare systems. There are substantial international and intra-national variations in the development of healthcare quality improvement. Legal requirements for quality improvement strategies are an important driver of progress, along with the activities of national governments and professional associations and societies. Patient and service user organisations appear to have less influence on quality improvement. Wide variation in voluntary and mandatory coverage of quality improvement policies and strategies across sectors can potentially lead to varying levels of progress in implementation. Many healthcare organisations lack basic infrastructure for quality improvement. Some convergence can be observed in policies on quality improvement in healthcare. Nevertheless, the growth of patient mobility across borders, along with the implications of free market provisions for the organisation and funding of healthcare systems in European Union member states, require policies for cooperation and learning transfer.

Integrated assessment of sources, chemical stressors and stream quality along a groundwater fed stream system

NASA Astrophysics Data System (ADS)

Løgstrup Bjerg, Poul; Sonne, Anne T.; Rønde, Vinni; McKnight, Ursula S.

2016-04-01

Streams are impacted by significant contamination at the catchment scale, as they are often locations of multiple chemical stressor inputs. The European Water Framework Directive requires EU member states to ensure good chemical and ecological status of surface water bodies by 2027. This requires monitoring of stream water quality, comparison with environmental quality standards (EQS) and assessment of ecological status. However, the achievement of good status of stream water also requires a strong focus on contaminant sources, pathways and links to stream water impacts, so source management and remedial measures can be implemented. Fate and impacts of different contaminant groups are governed by different processes and are dependent on the origin (geogenic, anthropogenic), source type (point or diffuse) and pathway of the contaminant. To address this issue, we identified contaminant sources and chemical stressors on a groundwater-fed stream to quantify the contaminant discharges, link the chemical impact and stream water quality and assess the main chemical risk drivers in the stream system potentially driving ecological impact. The study was conducted in the 8 m wide Grindsted stream (Denmark) along a 16 km stream stretch that is potentially impacted by two contaminated sites (Grindsted Factory site, Grindsted Landfill), fish farms, waste water discharges, and diffuse sources from agriculture and urban areas. Water samples from the stream and the hyporheic zone as well as bed sediment samples were collected during three campaigns in 2012 and 2014. Data for xenobiotic organic groundwater contaminants, pesticides, heavy metals, general water chemistry, physical conditions and stream flow were collected. The measured chemical concentrations were converted to toxic units (TU) based on the 48h acute toxicity tests with D. magna. The results show a substantial impact of the Grindsted Factory site at a specific stretch of the stream. The groundwater plume caused

Retinal Prosthesis System for Advanced Retinitis Pigmentosa: A Health Technology Assessment Update

PubMed Central

Lee, Christine; Tu, Hong Anh; Wells, David; Holubowich, Corinne

2017-01-01

Background Retinitis pigmentosa is a group of inherited disorders characterized by the degeneration of the photoreceptors in the retina, resulting in progressive vision loss. The Argus II system is designed to restore partial functional vision in patients with profound vision loss from advanced retinitis pigmentosa. At present, it is the only treatment option approved by Health Canada for this patient population. In June 2016, Health Quality Ontario published a health technology assessment of the Argus II retinal prosthesis system for patients with advanced retinitis pigmentosa. Based on that assessment, the Ontario Health Technology Advisory Committee recommended against publicly funding the Argus II system for this population. It also recommended that Health Quality Ontario re-evaluate the evidence in 1 year. The objective of this report was to examine new evidence published since the 2016 health technology assessment. Methods We completed a health technology assessment, which included an evaluation of clinical benefits and harms, value for money, and patient preferences related to the Argus II system. We performed a systematic literature search for studies published since the 2016 Argus II health technology assessment. We developed a Markov decision-analytic model to assess the cost-effectiveness of the Argus II system compared with standard care, and we calculated incremental cost-effectiveness ratios over a 20-year time horizon. We also conducted a five-year budget impact analysis. Finally, we interviewed people with retinitis pigmentosa about their lived experience with vision loss, and with the Argus II system. Results Four publications from one multicentre international study were included in the clinical review. Patients showed significant improvements in visual function and functional outcomes with the Argus II system, and these outcomes were sustained up to a 5-year follow-up (moderate quality of evidence). The safety profile was generally acceptable. In

[Assessment of financial performance improves the quality of healthcare provided by medical organizations].

PubMed

Afek, Arnon; Meilik, Ahuva; Rotstein, Zeev

2009-01-01

Today, medical organizations have to contend with a highly competitive environment, an atmosphere saturated with a multitude of innovative new technologies and ever-increasing costs. The ability of these organizations to survive and to develop and expand their services mandates adoption of management guidelines based on the world of finance/commerce, adapted to make them relevant to the world of medical service. In this article the authors chose to present a management administration assessment which is a process that ensures that the management will effectively administer the organization's resources, and meet the goals set by the organization. The system demands that hospital "centers of responsibility" be defined, a management information system be set up, activities be priced, budget be defined and the expenses assessed. These processes make it possible to formulate a budget and assess any possible deviation between the budget and the actual running costs. An assessment of deviations will reveal any possible deviation of the most significant factor--efficiency. Medical organization managers, with the cooperation of the directors of the "centers of responsibility", can assess subunit activities and gain an understanding of the significance of management decisions and thus improve the quality of management, and the medical organization. The goal of this management system is not only to Lower costs and to meet the financial goals that were set; it is a tool that ensures quality. Decreasing expenditure is important in this case, but is only secondary in importance and will be a result of reducing the costs incurred by services lacking in quality.

42 CFR 431.834 - Access to records: Claims processing assessment systems.

Code of Federal Regulations, 2014 CFR

2014-10-01

... ADMINISTRATION Quality Control Medicaid Quality Control (mqc) Claims Processing Assessment System § 431.834... to which the State has access, including information available under part 435, subpart J, of this...

42 CFR 431.834 - Access to records: Claims processing assessment systems.

Code of Federal Regulations, 2012 CFR

2012-10-01

... ADMINISTRATION Quality Control Medicaid Quality Control (mqc) Claims Processing Assessment System § 431.834... to which the State has access, including information available under part 435, subpart J, of this...

Implementation and quality assessment of a pharmacy services call center for outpatient pharmacies and specialty pharmacy services in an academic health system.

PubMed

Rim, Matthew H; Thomas, Karen C; Chandramouli, Jane; Barrus, Stephanie A; Nickman, Nancy A

2018-05-15

The implementation and quality assessment of a pharmacy services call center (PSCC) for outpatient pharmacies and specialty pharmacy services within an academic health system are described. Prolonged wait times in outpatient pharmacies or hold times on the phone affect the ability of pharmacies to capture and retain prescriptions. To support outpatient pharmacy operations and improve quality, a PSCC was developed to centralize handling of all outpatient and specialty pharmacy calls. The purpose of the PSCC was to improve the quality of pharmacy telephone services by (1) decreasing the call abandonment rate, (2) improving the speed of answer, (3) increasing first-call resolution, (4) centralizing all specialty pharmacy and prior authorization calls, (5) increasing labor efficiency and pharmacy capacities, (6) implementing a quality evaluation program, and (7) improving workplace satisfaction and retention of outpatient pharmacy staff. The PSCC centralized pharmacy calls from 9 pharmacy locations, 2 outpatient clinics, and a specialty pharmacy. Since implementation, the PSCC has achieved and maintained program goals, including improved abandonment rate, speed of answer, and first-call resolution. A centralized 24-7 support line for specialty pharmacy patients was also successfully established. A quality calibration program was implemented to ensure service quality and excellent patient experience. Additional ongoing evaluations measure the impact of the PSCC on improving workplace satisfaction and retention of outpatient pharmacy staff. The design and implementation of the PSCC have significantly improved the health system's patient experiences, efficiency, and quality. Copyright © 2018 by the American Society of Health-System Pharmacists, Inc. All rights reserved.

Quality Assessment of Internationalised Studies: Theory and Practice

ERIC Educational Resources Information Center

Juknyte-Petreikiene, Inga

2013-01-01

The article reviews forms of higher education internationalisation at an institutional level. The relevance of theoretical background of internationalised study quality assessment is highlighted and definitions of internationalised studies quality are presented. Existing methods of assessment of higher education internationalisation are criticised…

Water quality assessment with hierarchical cluster analysis based on Mahalanobis distance.

PubMed

Du, Xiangjun; Shao, Fengjing; Wu, Shunyao; Zhang, Hanlin; Xu, Si

2017-07-01

Water quality assessment is crucial for assessment of marine eutrophication, prediction of harmful algal blooms, and environment protection. Previous studies have developed many numeric modeling methods and data driven approaches for water quality assessment. The cluster analysis, an approach widely used for grouping data, has also been employed. However, there are complex correlations between water quality variables, which play important roles in water quality assessment but have always been overlooked. In this paper, we analyze correlations between water quality variables and propose an alternative method for water quality assessment with hierarchical cluster analysis based on Mahalanobis distance. Further, we cluster water quality data collected form coastal water of Bohai Sea and North Yellow Sea of China, and apply clustering results to evaluate its water quality. To evaluate the validity, we also cluster the water quality data with cluster analysis based on Euclidean distance, which are widely adopted by previous studies. The results show that our method is more suitable for water quality assessment with many correlated water quality variables. To our knowledge, it is the first attempt to apply Mahalanobis distance for coastal water quality assessment.

Validation of selected analytical methods using accuracy profiles to assess the impact of a Tobacco Heating System on indoor air quality.

PubMed

Mottier, Nicolas; Tharin, Manuel; Cluse, Camille; Crudo, Jean-René; Lueso, María Gómez; Goujon-Ginglinger, Catherine G; Jaquier, Anne; Mitova, Maya I; Rouget, Emmanuel G R; Schaller, Mathieu; Solioz, Jennifer

2016-09-01

Studies in environmentally controlled rooms have been used over the years to assess the impact of environmental tobacco smoke on indoor air quality. As new tobacco products are developed, it is important to determine their impact on air quality when used indoors. Before such an assessment can take place it is essential that the analytical methods used to assess indoor air quality are validated and shown to be fit for their intended purpose. Consequently, for this assessment, an environmentally controlled room was built and seven analytical methods, representing eighteen analytes, were validated. The validations were carried out with smoking machines using a matrix-based approach applying the accuracy profile procedure. The performances of the methods were compared for all three matrices under investigation: background air samples, the environmental aerosol of Tobacco Heating System THS 2.2, a heat-not-burn tobacco product developed by Philip Morris International, and the environmental tobacco smoke of a cigarette. The environmental aerosol generated by the THS 2.2 device did not have any appreciable impact on the performances of the methods. The comparison between the background and THS 2.2 environmental aerosol samples generated by smoking machines showed that only five compounds were higher when THS 2.2 was used in the environmentally controlled room. Regarding environmental tobacco smoke from cigarettes, the yields of all analytes were clearly above those obtained with the other two air sample types. Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.

Informatics: essential infrastructure for quality assessment and improvement in nursing.

PubMed Central

Henry, S B

1995-01-01

In recent decades there have been major advances in the creation and implementation of information technologies and in the development of measures of health care quality. The premise of this article is that informatics provides essential infrastructure for quality assessment and improvement in nursing. In this context, the term quality assessment and improvement comprises both short-term processes such as continuous quality improvement (CQI) and long-term outcomes management. This premise is supported by 1) presentation of a historical perspective on quality assessment and improvement; 2) delineation of the types of data required for quality assessment and improvement; and 3) description of the current and potential uses of information technology in the acquisition, storage, transformation, and presentation of quality data, information, and knowledge. PMID:7614118

Construction of the descriptive system for the Assessment of Quality of Life AQoL-6D utility instrument.

PubMed

Richardson, Jeffrey R J; Peacock, Stuart J; Hawthorne, Graeme; Iezzi, Angelo; Elsworth, Gerald; Day, Neil A

2012-04-17

Multi attribute utility (MAU) instruments are used to include the health related quality of life (HRQoL) in economic evaluations of health programs. Comparative studies suggest different MAU instruments measure related but different constructs. The objective of this paper is to describe the methods employed to achieve content validity in the descriptive system of the Assessment of Quality of Life (AQoL)-6D, MAU instrument. The AQoL program introduced the use of psychometric methods in the construction of health related MAU instruments. To develop the AQoL-6D we selected 112 items from previous research, focus groups and expert judgment and administered them to 316 members of the public and 302 hospital patients. The search for content validity across a broad spectrum of health states required both formative and reflective modelling. We employed Exploratory Factor Analysis and Structural Equation Modelling (SEM) to meet these dual requirements. The resulting instrument employs 20 items in a multi-tier descriptive system. Latent dimension variables achieve sensitive descriptions of 6 dimensions which, in turn, combine to form a single latent QoL variable. Diagnostic statistics from the SEM analysis are exceptionally good and confirm the hypothesised structure of the model. The AQoL-6D descriptive system has good psychometric properties. They imply that the instrument has achieved construct validity and provides a sensitive description of HRQoL. This means that it may be used with confidence for measuring health related quality of life and that it is a suitable basis for modelling utilities for inclusion in the economic evaluation of health programs.

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.

Environmental assessment of three egg production systems--Part I: Monitoring system and indoor air quality.

PubMed

Zhao, Y; Shepherd, T A; Li, H; Xin, H

2015-03-01

To comprehensively assess conventional vs. some alternative laying-hen housing systems under U.S. production conditions, a multi-institute and multi-disciplinary project, known as the Coalition for Sustainable Egg Supply (CSES) study, was carried out at a commercial egg production farm in the Midwestern United States over two single-cycle production flocks. The housing systems studied include a conventional cage house (200,000 hen capacity), an aviary house (50,000 hen capacity), and an enriched colony house (50,000 hen capacity). As an integral part of the CSES project, continual environmental monitoring over a 27-month period described in this paper quantifies indoor gaseous and particulate matter concentrations, thermal environment, and building ventilation rate of each house. Results showed that similar indoor thermal environments in all three houses were maintained through ventilation management and environmental control. Gaseous and particulate matter concentrations of the enriched colony house were comparable with those of the conventional cage house. In comparison, the aviary house had poorer indoor air quality, especially in wintertime, resulting from the presence of floor litter (higher ammonia levels) and hens' activities (higher particulate matter levels) in it. Specifically, daily mean indoor ammonia concentrations had the 95% confidence interval values of 3.8 to 4.2 (overall mean of 4.0) ppm for the conventional cage house; 6.2 to 7.2 (overall mean of 6.7) ppm for the aviary house; and 2.7 to 3.0 (overall mean of 2.8) ppm for the enriched colony house. The 95% confidence interval (overall mean) values of daily mean indoor carbon dioxide concentrations were 1997 to 2170 (2083) ppm for the conventional cage house, 2367 to 2582 (2475) ppm for the aviary house, and 2124 to 2309 (2216) ppm for the enriched colony house. Daily mean indoor methane concentrations were similar for all three houses, with 95% confidence interval values of 11.1 to 11.9 (overall

Multiscale visual quality assessment for cluster analysis with self-organizing maps

NASA Astrophysics Data System (ADS)

Bernard, Jürgen; von Landesberger, Tatiana; Bremm, Sebastian; Schreck, Tobias

2011-01-01

Cluster analysis is an important data mining technique for analyzing large amounts of data, reducing many objects to a limited number of clusters. Cluster visualization techniques aim at supporting the user in better understanding the characteristics and relationships among the found clusters. While promising approaches to visual cluster analysis already exist, these usually fall short of incorporating the quality of the obtained clustering results. However, due to the nature of the clustering process, quality plays an important aspect, as for most practical data sets, typically many different clusterings are possible. Being aware of clustering quality is important to judge the expressiveness of a given cluster visualization, or to adjust the clustering process with refined parameters, among others. In this work, we present an encompassing suite of visual tools for quality assessment of an important visual cluster algorithm, namely, the Self-Organizing Map (SOM) technique. We define, measure, and visualize the notion of SOM cluster quality along a hierarchy of cluster abstractions. The quality abstractions range from simple scalar-valued quality scores up to the structural comparison of a given SOM clustering with output of additional supportive clustering methods. The suite of methods allows the user to assess the SOM quality on the appropriate abstraction level, and arrive at improved clustering results. We implement our tools in an integrated system, apply it on experimental data sets, and show its applicability.

Assessment of Power Quality based on Fuzzy Logic and Discrete Wavelet Transform for Nonstationary Disturbances

NASA Astrophysics Data System (ADS)

Sinha, Pampa; Nath, Sudipta

2010-10-01

The main aspects of power system delivery are reliability and quality. If all the customers of a power system get uninterrupted power through the year then the system is considered to be reliable. The term power quality may be referred to as maintaining near sinusoidal voltage at rated frequency at the consumers end. The power component definitions are defined according to the IEEE Standard 1459-2000 both for single phase and three phase unbalanced systems based on Fourier Transform (FFT). In the presence of nonstationary power quality (PQ) disturbances results in accurate values due to its sensitivity to the spectral leakage problem. To overcome these limitations the power quality components are calculated using Discrete Wavelet Transform (DWT). In order to handle the uncertainties associated with electric power systems operations fuzzy logic has been incorporated in this paper. A new power quality index has been introduced here which can assess the power quality under nonstationary disturbances.

[Quality assessment of dermatology in the G-DRG system 2004].

PubMed

Fürstenberg, T; Hensen, P; Rompel, R; Roeder, N

2004-11-01

Since January 2004, all German hospitals have been obliged to operate with a new hospital funding system based on DRGs. For the DRG system to serve as a fair basis for reimbursement requires that the dermatologic services be adequately covered in the classification system. The German Dermatologic Society (DDG) in cooperation with the DRG-Research Group of the University Hospital Muenster carried out a DRG evaluation study. Based on these results, suggestions for the adjustment of the G-DRG system were proposed by the DDG in the G-DRG adaptation round for 2004. Based on data of the DRG evaluation project (14,555 dermatological cases from 19 hospitals) the homogeneity in the G-DRG system 2004 was examined and compared with the quality of depiction in the G-DRG version 1.0. The correlation between expenditure and case mix index in the hospitals improved in the G-DRG system 2004. Most proposals submitted by the German Dermatologic Society for the adaptation into the G-DRG system 2004 were accepted. Some fundamental problems such as reimbursement of high cost drugs and special services, as well as the reimbursement of high and low outliers, were only marginally addressed. The G-DRG system 2004 will need to be continuously adapted in the field of dermatology. Based on this work, the German Dermatologic Society has made suggestions to be adapted in the G-DRG system 2005 and submitted them to the German DRG Institute.

Measuring Quality in Rural Kindergarten Classrooms: Reliability and Validity Evidence for the Classroom Assessment Scoring System, Kindergarten-Third Grade (CLASS K-3)

ERIC Educational Resources Information Center

Sandilos, Lia E.

2012-01-01

The purpose of the current study was to evaluate the structural validity and stability of scores on a measure of global classroom quality, the Classroom Assessment Scoring System, Kindergarten-Third Grade (CLASS K-3; Pianta, La Paro, & Hamre, 2008). Using data from a sample of 417 kindergarten classrooms in the rural Southern and Mid-Atlantic…

Quality assessment tools add value.

PubMed

Paul, L

1996-10-01

The rapid evolution of the health care marketplace can be expected to continue as we move closer to the 21st Century. Externally-imposed pressures for cost reduction will increasingly be accompanied by pressure within health care organizations as risk-sharing reimbursement arrangements become more commonplace. Competitive advantage will be available to those organizations that can demonstrate objective value as defined by the cost-quality equation. The tools an organization chooses to perform quality assessment will be an important factor in its ability to demonstrate such value. Traditional quality assurance will in all likelihood continue, but the extent to which quality improvement activities are adopted by the culture of an organization may determine its ability to provide objective evidence of better health status outcomes.

Quality Assessment of Collection 6 MODIS Atmospheric Science Products

NASA Astrophysics Data System (ADS)

Manoharan, V. S.; Ridgway, B.; Platnick, S. E.; Devadiga, S.; Mauoka, E.

2015-12-01

Since the launch of the NASA Terra and Aqua satellites in December 1999 and May 2002, respectively, atmosphere and land data acquired by the MODIS (Moderate Resolution Imaging Spectroradiometer) sensor on-board these satellites have been reprocessed five times at the MODAPS (MODIS Adaptive Processing System) located at NASA GSFC. The global land and atmosphere products use science algorithms developed by the NASA MODIS science team investigators. MODAPS completed Collection 6 reprocessing of MODIS Atmosphere science data products in April 2015 and is currently generating the Collection 6 products using the latest version of the science algorithms. This reprocessing has generated one of the longest time series of consistent data records for understanding cloud, aerosol, and other constituents in the earth's atmosphere. It is important to carefully evaluate and assess the quality of this data and remove any artifacts to maintain a useful climate data record. Quality Assessment (QA) is an integral part of the processing chain at MODAPS. This presentation will describe the QA approaches and tools adopted by the MODIS Land/Atmosphere Operational Product Evaluation (LDOPE) team to assess the quality of MODIS operational Atmospheric products produced at MODAPS. Some of the tools include global high resolution images, time series analysis and statistical QA metrics. The new high resolution global browse images with pan and zoom have provided the ability to perform QA of products in real time through synoptic QA on the web. This global browse generation has been useful in identifying production error, data loss, and data quality issues from calibration error, geolocation error and algorithm performance. A time series analysis for various science datasets in the Level-3 monthly product was recently developed for assessing any long term drifts in the data arising from instrument errors or other artifacts. This presentation will describe and discuss some test cases from the

A Quality Process Approach to Electronic System Reliability: Supplier Quality Assessment Procedure. Volume 2

DTIC Science & Technology

1993-11-01

AND SUPPORT SERVICE QUALITY ....... 16 3.5.7 SUPPLIER QUALITY ............................................................................. 16 3.6...RESULTS ......................................................................................................... 16 3.6.1 PRODUCT AND SERVICE QUALITY RESULTS...10 5.6 Business Process and Support Service Quality 20 5.7 Supplier Quality 20 6.0 Results 180 6.1 Product and Service Quality Results 90 6.2 Business

Balancing Quality Early Education and Parents' Workforce Success: Insights from the Urban Institute's Assessment of the Massachusetts Subsidized Child Care System. Research Report

ERIC Educational Resources Information Center

Adams, Gina; Katz, Michael

2015-01-01

This report examines the Massachusetts child care subsidy system's balance between providing quality early childhood education and providing workforce support for parents. It is based on qualitative and quantitative data and findings from several studies conducted as part of a legislatively mandated assessment of the Massachusetts subsidized child…

A critical comparison of different approaches to sediment-quality assessments in the Santos Estuarine System in Brazil.

PubMed

Torres, Ronaldo J; Cesar, Augusto; Pastor, Victor A; Pereira, Camilo D S; Choueri, Rodrigo B; Cortez, Fernando S; Morais, Rodofley D; Abessa, Denis M S; do Nascimento, Marcos R L; Morais, Cassia R; Fadini, Pedro S; Casillas, Tomas A Del Valls; Mozeto, Antônio A

2015-01-01

This study focuses on the discussion of different lines of evidence (LoEs) applied to a sediment-quality assessment that considered the following: chemical concentrations of metals; polycyclic aromatic hydrocarbons (PAHs) in estuarine waters, sediments, and oysters (native and caged Crassostrea brasiliana); PAHs in semipermeable membrane devices (SPMDs); simultaneously extracted metals-acid volatile sulfides (SEM-AVS); benthic community assessment (the exploratory benthic index and the relative benthic index); chronic toxicity tests with the sea urchin Lytechinus variegatus; and bioaccumulation models. Significantly contaminated sediments from the Santos Estuarine System and the consequent toxicity of tested organisms were measured. Caged oysters presented bioaccumulation rates ≤2,500% of total PAH content and 200% of metal content when compared with control organisms from an uncontaminated area. SPMD results presented the same bioaccumulation pattern as caged oysters but at lower concentrations. Benthic communities presented some alterations, and there was a predominance of tolerant species in the inner part of the estuary. According to the SEM-AVS approach, metals should be assumed to be nonbioavailable, but experiments with transplanted C. brasiliana showed metal bioaccumulation, particularly in the cases of chromium, copper, mercury, and zinc. The weight-of-evidence approach was applied to compare and harmonize LoEs commonly used in sediment-quality assessments and to then classify estuary environments according to both their potential for having adverse effects on the biota and their possible ecological risks. All of the results of these approaches (except for SEM-AVS) were found to complement each other.

A clinimetric approach to assessing quality of life in epilepsy.

PubMed

Cramer, J A

1993-01-01

Clinimetrics is a concept involving the use of rating scales for clinical phenomena ranging from physical examinations to functional performance. Clinimetric or rating scales can be used for defining patient status and changes that occur during long-term observation. The scores derived from such scales can be used as guidelines for intervention, treatment, or prediction of outcome. In epilepsy, clinimetric scales have been developed for assessing seizure frequency, seizure severity, adverse effects related to antiepileptic drugs (AEDs), and quality of life after surgery for epilepsy. The VA Epilepsy Cooperative Study seizure rating scale combines frequency and severity in a weighted scoring system for simple and complex partial and generalized tonic-clonic seizures, summing all items in a total seizure score. Similarly, the rating scales for systemic toxicity and neurotoxicity use scores weighted for severity for assessing specific adverse effects typically related to AEDs. A composite score, obtained by adding the scores for seizures, systemic toxicity, and neurotoxicity, represents the overall status of the patient at a given time. The Chalfont Seizure Severity Scale also applies scores relative to the impact of a given item on the patient, without factoring in seizure frequency. The Liverpool Seizure Severity Scale is a patient questionnaire covering perceived seizure severity and the impact of ictal and postictal events. The UCLA Epilepsy Surgery Inventory (ESI-55) assesses quality of life for patients who have undergone surgery for epilepsy using generic health status instruments with additional epilepsy-specific items.(ABSTRACT TRUNCATED AT 250 WORDS)

National Water-Quality Assessment Program--Southern High Plains, Texas and New Mexico

USGS Publications Warehouse

Woodward, Dennis G.; Diniz, Cecilia G.

1994-01-01

BACKGROUND In 1991, the U.S. Geological Survey (USGS) began a National Water-Quality Assessment (NAWQA) program. The long-term goals of the NAWQA program are to describe the status of, and trends in, the quality of a large, representative part of the Nation's surface- and ground-water resources and to identify the major natural and human factors that affect the quality of these resources. In addressing these goals, the program will produce a wealth of water-quality information that will be useful to policy makers and managers at the National, State, and local levels. The NAWQA program emphasis is on regional water-quality problems. The program will not diminish the need for smaller studies and monitoring designed and currently being conducted by Federal, State, and local agencies to meet their individual needs. The NAWQA program, however, will provide a large-scale framework for conducting many of these activities and an understanding about National and regional water-quality conditions that cannot be acquired from individual, small-scale programs and studies. Studies of 60 hydrologic systems that include parts of most major river basins and aquifer systems (study-unit investigations) are the building blocks of the National assessment. The 60 study units range in size from 1,000 mi 2 (square miles) to more than 60,000 mi 2 and represent 60 to 70 percent of the Nation's water use and population served by public water supplies. Twenty study-unit investigations were started in 1991, 20 additional are starting in 1994, and 20 more are planned to start in 1997. The Southern High Plains study unit was selected as one of 20 study units to begin assessment activities in 1994. This study will be run from the New Mexico District office of the USGS in Albuquerque, New Mexico.

Impact assessment of on-site sanitation system on groundwater quality in alluvial settings: A case study from Lucknow city in North India.

PubMed

Jangam, Chandrakant; Ramya Sanam, S; Chaturvedi, M K; Padmakar, C; Pujari, Paras R; Labhasetwar, Pawan K

2015-10-01

The present case study has been undertaken to investigate the impact of on-site sanitation on groundwater quality in alluvial settings in Lucknow City in India. The groundwater samples have been collected in the areas of Lucknow City where the on-site sanitation systems have been implemented. The groundwater samples have been analyzed for the major physicochemical parameters and fecal coliform. The results of analysis reveal that none of the groundwater samples exceeded the Bureau of Indian Standards (BIS) limits for all the parameters. Fecal coliform was not found in majority of the samples including those samples which were very close to the septic tank. The study area has a thick alluvium cover as a top layer which acts as a natural barrier for groundwater contamination from the on-site sanitation system. The t test has been performed to assess the seasonal effect on groundwater quality. The statistical t test implies that there is a significant effect of season on groundwater quality in the study area.

A CNN based neurobiology inspired approach for retinal image quality assessment.

PubMed

Mahapatra, Dwarikanath; Roy, Pallab K; Sedai, Suman; Garnavi, Rahil

2016-08-01

Retinal image quality assessment (IQA) algorithms use different hand crafted features for training classifiers without considering the working of the human visual system (HVS) which plays an important role in IQA. We propose a convolutional neural network (CNN) based approach that determines image quality using the underlying principles behind the working of the HVS. CNNs provide a principled approach to feature learning and hence higher accuracy in decision making. Experimental results demonstrate the superior performance of our proposed algorithm over competing methods.

Methodological Quality Assessment of Meta-Analyses of Hyperthyroidism Treatment.

PubMed

Qin, Yahong; Yao, Liang; Shao, Feifei; Yang, Kehu; Tian, Limin

2018-01-01

Hyperthyroidism is a common condition that is associated with increased morbidity and mortality. A number of meta-analyses (MAs) have assessed the therapeutic measures for hyperthyroidism, including antithyroid drugs, surgery, and radioiodine, however, the methodological quality has not been evaluated. This study evaluated the methodological quality and summarized the evidence obtained from MAs of hyperthyroidism treatments for radioiodine, antithyroid drugs, and surgery. We searched the PubMed, EMBASE, Cochrane Library, Web of Science, and Chinese Biomedical Literature Database databases. Two investigators independently assessed the meta-analyses titles and abstracts for inclusion. Methodological quality was assessed using the validated AMSTAR (Assessing the Methodological Quality of Systematic Reviews) tool. A total of 26 MAs fulfilled the inclusion criteria. Based on the AMSTAR scores, the average methodological quality was 8.31, with large variability ranging from 4 to 11. The methodological quality of English meta-analyses was better than that of Chinese meta-analyses. Cochrane reviews had better methodological quality than non-Cochrane reviews due to better study selection and data extraction, the inclusion of unpublished studies, and better reporting of study characteristics. The authors did not report conflicts of interest in 53.8% meta-analyses, and 19.2% did not report the harmful effects of treatment. Publication bias was not assessed in 38.5% of meta-analyses, and 19.2% did not report the follow-up time. Large-scale assessment of methodological quality of meta-analyses of hyperthyroidism treatment highlighted methodological strengths and weaknesses. Consideration of scientific quality when formulating conclusions should be made explicit. Future meta-analyses should improve on reporting conflict of interest. © Georg Thieme Verlag KG Stuttgart · New York.

Assessing the Quality of Research Supervision in Mainland Chinese Higher Education

ERIC Educational Resources Information Center

Peng, Hongbing

2015-01-01

This article assesses the quality of research supervision in mainland Chinese higher education by critiquing the related literature. It provides an evaluative overview of the Chinese graduate supervisor-student relationship after presenting the supervision system that is at work. The study has revealed that despite the general satisfaction felt…

Quantitative Procedures for the Assessment of Quality in Higher Education Institutions.

ERIC Educational Resources Information Center

Moran, Tom; Rowse, Glenwood

The development of procedures designed to provide quantitative assessments of quality in higher education institutions are reviewed. These procedures employ a systems framework and utilize quantitative data to compare institutions or programs of similar types with one another. Three major elements essential in the development of models focusing on…

Expert database system for quality control

NASA Astrophysics Data System (ADS)

Wang, Anne J.; Li, Zhi-Cheng

1993-09-01

There are more competitors today. Markets are not homogeneous they are fragmented into increasingly focused niches requiring greater flexibility in the product mix shorter manufacturing production runs and above allhigher quality. In this paper the author identified a real-time expert system as a way to improve plantwide quality management. The quality control expert database system (QCEDS) by integrating knowledge of experts in operations quality management and computer systems use all information relevant to quality managementfacts as well as rulesto determine if a product meets quality standards. Keywords: expert system quality control data base

The immunization data quality audit: verifying the quality and consistency of immunization monitoring systems.

PubMed Central

Ronveaux, O.; Rickert, D.; Hadler, S.; Groom, H.; Lloyd, J.; Bchir, A.; Birmingham, M.

2005-01-01

OBJECTIVE: To evaluate the consistency and quality of immunization monitoring systems in 27 countries during 2002-03 using standardized data quality audits (DQAs) that had been launched within the framework of the Global Alliance for Vaccines and Immunization. METHODS: The consistency of reporting systems was estimated by determining the proportion of third doses of diphtheria-tetanuspertussis (DTP-3) vaccine reported as being administered that could be verified by written documentation at health facilities and districts. The quality of monitoring systems was measured using quality indices for different components of the monitoring systems. These indices were applied to each level of the health service (health unit, district and national). FINDINGS: The proportion of verified DTP-3 doses was lower than 85% in 16 countries. Difficulties in verifying the doses administered often arose at the peripheral level of the health service, usually as the result of discrepancies in information between health units and their corresponding districts or because completed recording forms were not available from health units. All countries had weaknesses in their monitoring systems; these included the inconsistent use of monitoring charts; inadequate monitoring of vaccine stocks, injection supplies and adverse events; unsafe computer practices; and poor monitoring of completeness and timeliness of reporting. CONCLUSION: Inconsistencies in immunization data occur in many countries, hampering their ability to manage their immunization programmes. Countries should use these findings to strengthen monitoring systems so that data can reliably guide programme activities. The DQA is an innovative tool that provides a way to independently assess the quality of immunization monitoring systems at all levels of a health service and serves as a point of entry to make improvements. It provides a useful example for other global health initiatives. PMID:16175824

Quality assurance and reliability sub-committee W88-0/Mk5 weapon assessment NSA lab test results (u)

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

Whitney, Earl M

2010-11-29

The purpose of this report is to gather appropriate level of relevant stockpile surveillance data to assess trends in the NEP quality, reliability, performance, and safety over the life of the system. The objectives are to gather relevant stockpile data to assess NEP quality and trends and to develop metrics to assess the suitability of the surveillance sampling regime to meet assessment process requirements.

Automated image quality assessment for chest CT scans.

PubMed

Reeves, Anthony P; Xie, Yiting; Liu, Shuang

2018-02-01

Medical image quality needs to be maintained at standards sufficient for effective clinical reading. Automated computer analytic methods may be applied to medical images for quality assessment. For chest CT scans in a lung cancer screening context, an automated quality assessment method is presented that characterizes image noise and image intensity calibration. This is achieved by image measurements in three automatically segmented homogeneous regions of the scan: external air, trachea lumen air, and descending aorta blood. Profiles of CT scanner behavior are also computed. The method has been evaluated on both phantom and real low-dose chest CT scans and results show that repeatable noise and calibration measures may be realized by automated computer algorithms. Noise and calibration profiles show relevant differences between different scanners and protocols. Automated image quality assessment may be useful for quality control for lung cancer screening and may enable performance improvements to automated computer analysis methods. © 2017 American Association of Physicists in Medicine.

Towards the Next Generation Air Quality Modeling System ...

EPA Pesticide Factsheets

The community multiscale air quality (CMAQ) model of the U.S. Environmental Protection Agency is one of the most widely used air quality model worldwide; it is employed for both research and regulatory applications at major universities and government agencies for improving understanding of the formation and transport of air pollutants. It is noted, however, that air quality issues and climate change assessments need to be addressed globally recognizing the linkages and interactions between meteorology and atmospheric chemistry across a wide range of scales. Therefore, an effort is currently underway to develop the next generation air quality modeling system (NGAQM) that will be based on a global integrated meteorology and chemistry system. The model for prediction across scales-atmosphere (MPAS-A), a global fully compressible non-hydrostatic model with seamlessly refined centroidal Voronoi grids, has been chosen as the meteorological driver of this modeling system. The initial step of adapting MPAS-A for the NGAQM was to implement and test the physics parameterizations and options that are preferred for retrospective air quality simulations (see the work presented by R. Gilliam, R. Bullock, and J. Herwehe at this workshop). The next step, presented herein, would be to link the chemistry from CMAQ to MPAS-A to build a prototype for the NGAQM. Furthermore, the techniques to harmonize transport processes between CMAQ and MPAS-A, methodologies to connect the chemis

Redox processes and water quality of selected principal aquifer systems

USGS Publications Warehouse

McMahon, P.B.; Chapelle, F.H.

2008-01-01

Reduction/oxidation (redox) conditions in 15 principal aquifer (PA) systems of the United States, and their impact on several water quality issues, were assessed from a large data base collected by the National Water-Quality Assessment Program of the USGS. The logic of these assessments was based on the observed ecological succession of electron acceptors such as dissolved oxygen, nitrate, and sulfate and threshold concentrations of these substrates needed to support active microbial metabolism. Similarly, the utilization of solid-phase electron acceptors such as Mn(IV) and Fe(III) is indicated by the production of dissolved manganese and iron. An internally consistent set of threshold concentration criteria was developed and applied to a large data set of 1692 water samples from the PAs to assess ambient redox conditions. The indicated redox conditions then were related to the occurrence of selected natural (arsenic) and anthropogenic (nitrate and volatile organic compounds) contaminants in ground water. For the natural and anthropogenic contaminants assessed in this study, considering redox conditions as defined by this framework of redox indicator species and threshold concentrations explained many water quality trends observed at a regional scale. An important finding of this study was that samples indicating mixed redox processes provide information on redox heterogeneity that is useful for assessing common water quality issues. Given the interpretive power of the redox framework and given that it is relatively inexpensive and easy to measure the chemical parameters included in the framework, those parameters should be included in routine water quality monitoring programs whenever possible.

A framework for assessing Health Economic Evaluation (HEE) quality appraisal instruments.

PubMed

Langer, Astrid

2012-08-16

Health economic evaluations support the health care decision-making process by providing information on costs and consequences of health interventions. The quality of such studies is assessed by health economic evaluation (HEE) quality appraisal instruments. At present, there is no instrument for measuring and improving the quality of such HEE quality appraisal instruments. Therefore, the objectives of this study are to establish a framework for assessing the quality of HEE quality appraisal instruments to support and improve their quality, and to apply this framework to those HEE quality appraisal instruments which have been subject to more scrutiny than others, in order to test the framework and to demonstrate the shortcomings of existing HEE quality appraisal instruments. To develop the quality assessment framework for HEE quality appraisal instruments, the experiences of using appraisal tools for clinical guidelines are used. Based on a deductive iterative process, clinical guideline appraisal instruments identified through literature search are reviewed, consolidated, and adapted to produce the final quality assessment framework for HEE quality appraisal instruments. The final quality assessment framework for HEE quality appraisal instruments consists of 36 items organized within 7 dimensions, each of which captures a specific domain of quality. Applying the quality assessment framework to four existing HEE quality appraisal instruments, it is found that these four quality appraisal instruments are of variable quality. The framework described in this study should be regarded as a starting point for appraising the quality of HEE quality appraisal instruments. This framework can be used by HEE quality appraisal instrument producers to support and improve the quality and acceptance of existing and future HEE quality appraisal instruments. By applying this framework, users of HEE quality appraisal instruments can become aware of methodological deficiencies

21 CFR 820.5 - Quality system.

Code of Federal Regulations, 2011 CFR

2011-04-01

... 21 Food and Drugs 8 2011-04-01 2011-04-01 false Quality system. 820.5 Section 820.5 Food and Drugs... QUALITY SYSTEM REGULATION General Provisions § 820.5 Quality system. Each manufacturer shall establish and maintain a quality system that is appropriate for the specific medical device(s) designed or manufactured...

21 CFR 820.5 - Quality system.

Code of Federal Regulations, 2014 CFR

2014-04-01

... 21 Food and Drugs 8 2014-04-01 2014-04-01 false Quality system. 820.5 Section 820.5 Food and Drugs... QUALITY SYSTEM REGULATION General Provisions § 820.5 Quality system. Each manufacturer shall establish and maintain a quality system that is appropriate for the specific medical device(s) designed or manufactured...

21 CFR 820.5 - Quality system.

Code of Federal Regulations, 2010 CFR

2010-04-01

... 21 Food and Drugs 8 2010-04-01 2010-04-01 false Quality system. 820.5 Section 820.5 Food and Drugs... QUALITY SYSTEM REGULATION General Provisions § 820.5 Quality system. Each manufacturer shall establish and maintain a quality system that is appropriate for the specific medical device(s) designed or manufactured...

Assessment of timeliness, representativeness and quality of data reported to Italy's national integrated surveillance system for acute viral hepatitis (SEIEVA).

PubMed

Tosti, M E; Longhi, S; de Waure, C; Mele, A; Franco, E; Ricciardi, W; Filia, A

2015-05-01

Periodic assessment of surveillance systems is recommended to verify whether they are appropriately monitoring the public health problem under surveillance. The aim of this study was to evaluate timeliness, data quality and representativeness of data reported to the Italian Integrated Epidemiological System for Acute Viral Hepatitis (SEIEVA). Cross-sectional analysis of surveillance data. Quantitative indicators were used to evaluate representativeness of reported cases, data quality, and timeliness between surveillance steps, for reports of acute viral hepatitis cases with date of onset of symptoms from 2009 to 2012 (N = 4516). Representativeness was 75%. Over 95% of records reported information on age, sex, city of residence, risk factors for hepatitis A and vaccination status. Information on risk factors for hepatitis B and C were reported less consistently (83%), as was information on early outcome (60%). Wide delays were found between surveillance steps. The system collects high quality data on acute viral hepatitis cases in Italy. Timeliness was found to be the main limit and needs to be improved by optimizing web-based reporting procedures, increasing communication with participating centres, improving feedback and increasing dissemination of surveillance results. The study highlights the importance of reporting timeliness to detect outbreaks of acute viral hepatitis. Copyright © 2015 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

Quality Management Systems Implementation Compared With Organizational Maturity in Hospital.

PubMed

Moradi, Tayebeh; Jafari, Mehdi; Maleki, Mohammad Reza; Naghdi, Seyran; Ghiasvand, Hesam

2015-07-27

A quality management system can provide a framework for continuous improvement in order to increase the probability of customers and other stakeholders' satisfaction. The test maturity model helps organizations to assess the degree of maturity in implementing effective and sustained quality management systems; plan based on the current realities of the organization and prioritize their improvement programs. We aim to investigate and compare the level of organizational maturity in hospitals with the status of quality management systems implementation. This analytical cross sectional study was conducted among hospital administrators and quality experts working in hospitals with over 200 beds located in Tehran. In the first step, 32 hospitals were selected and then 96 employees working in the selected hospitals were studied. The data were gathered using the implementation checklist of quality management systems and the organization maturity questionnaire derived from ISO 10014. The content validity was calculated using Lawshe method and the reliability was estimated using test - retest method and calculation of Cronbach's alpha coefficient. The descriptive and inferential statistics were used to analyze the data using SPSS 18 software. According to the table, the mean score of organizational maturity among hospitals in the first stage of quality management systems implementation was equal to those in the third stage and hypothesis was rejected (p-value = 0.093). In general, there is no significant difference in the organizational maturity between the first and third level hospitals (in terms of implementation of quality management systems). Overall, the findings of the study show that there is no significant difference in the organizational maturity between the hospitals in different levels of the quality management systems implementation and in fact, the maturity of the organizations cannot be attributed to the implementation of such systems. As a result, hospitals

Quality Management Systems Implementation Compared With Organizational Maturity in Hospital

PubMed Central

Moradi, Tayebeh; Jafari, Mehdi; Maleki, Mohammad Reza; Naghdi, Seyran; Ghiyasvand, Hesam

2016-01-01

Background: A quality management system can provide a framework for continuous improvement in order to increase the probability of customers and other stakeholders’ satisfaction. The test maturity model helps organizations to assess the degree of maturity in implementing effective and sustained quality management systems; plan based on the current realities of the organization and prioritize their improvement programs. Objectives: We aim to investigate and compare the level of organizational maturity in hospitals with the status of quality management systems implementation. Materials and Methods: This analytical cross sectional study was conducted among hospital administrators and quality experts working in hospitals with over 200 beds located in Tehran. In the first step, 32 hospitals were selected and then 96 employees working in the selected hospitals were studied. The data were gathered using the implementation checklist of quality management systems and the organization maturity questionnaire derived from ISO 10014. The content validity was calculated using Lawshe method and the reliability was estimated using test - retest method and calculation of Cronbach's alpha coefficient. The descriptive and inferential statistics were used to analyze the data using SPSS 18 software. Results: According to the table, the mean score of organizational maturity among hospitals in the first stage of quality management systems implementation was equal to those in the third stage and hypothesis was rejected (p-value = 0.093). In general, there is no significant difference in the organizational maturity between the first and third level hospitals (in terms of implementation of quality management systems). Conclusions: Overall, the findings of the study show that there is no significant difference in the organizational maturity between the hospitals in different levels of the quality management systems implementation and in fact, the maturity of the organizations cannot be

Standards-Based Assessments in the Classroom: A Feasible Approach to Improving the Quality of Students' Learning

ERIC Educational Resources Information Center

Sharma, Priyanka

2015-01-01

In the new millennium, the Indian education system has experienced a major shift and the issue of the quality of education has taken centre stage in policy discussion fora. Globally, assessment has become an important means of improving the quality of education, both at the systemic level and at the level of individual students. It necessitates…

Durability assessment of prefabricated bridge elements and systems.

DOT National Transportation Integrated Search

2015-02-01

This study aims to address some of the concerns related to implementation of prefabricated bridge elements and systems (PBES) : and accelerated bridge construction (ABC) in Maryland, where some barriers included assessment of the quality and durabili...

Development and Validation of Assessing Quality Teaching Rubrics

ERIC Educational Resources Information Center

Chen, Weiyun; Mason, Steve; Hammond-Bennett, Austin; Zlamout, Sandy

2014-01-01

Purpose: This study aimed at examining the psychometric properties of the Assessing Quality Teaching Rubric (AQTR) that was designed to assess in-service teachers' quality levels of teaching practices in daily lessons. Methods: 45 physical education lessons taught by nine physical education teachers to students in grades K-5 were videotaped. They…

Patient Experience Assessment is a Requisite for Quality Evaluation: A Discussion of the In-Center Hemodialysis Consumer Assessment of Health Care Providers and Systems (ICH CAHPS) Survey.

PubMed

Cavanaugh, Kerri L

2016-01-01

Patient experience surveys provide a critical and unique perspective on the quality of patient-centered healthcare delivery. These surveys provide a mechanism to systematically express patients' voice on topics valued by patients to make decisions about choices in care. They also provide an assessment to healthcare organizations about their service that cannot be obtained from any other source. Regulatory agencies have mandated the assessment of patients' experience as part of healthcare value based purchasing programs and weighted the results to account for up to 30% of the total scoring. This is a testimony to the accepted importance of this metric as a fundamental assessment of quality. After more than a decade of rigorous research, there is a significant body of growing evidence supporting specifically the validity and use of the Consumer Assessment of Healthcare Providers and Systems (CAHPS) surveys, including a version specific to in-center hemodialysis (ICH CAHPS). This review will focus on the ICH CAHPS survey including a review of its development, content, administration, and also a discussion of common criticisms. Although it is suggested that the survey assesses activities and experiences that are not modifiable by the healthcare organization (or the dialysis facility in our case) emerging evidence suggests otherwise. Dialysis providers have an exclusive opportunity to lead the advancement of understanding the implications and serviceability of the evaluation of the patient experience in health care. © 2016 Wiley Periodicals, Inc.

Quality Assessment in the Blog Space

ERIC Educational Resources Information Center

Schaal, Markus; Fidan, Guven; Muller, Roland M.; Dagli, Orhan

2010-01-01

Purpose: The purpose of this paper is the presentation of a new method for blog quality assessment. The method uses the temporal sequence of link creation events between blogs as an implicit source for the collective tacit knowledge of blog authors about blog quality. Design/methodology/approach: The blog data are processed by the novel method for…

Construction of the descriptive system for the assessment of quality of life AQoL-6D utility instrument

PubMed Central

2012-01-01

Background Multi attribute utility (MAU) instruments are used to include the health related quality of life (HRQoL) in economic evaluations of health programs. Comparative studies suggest different MAU instruments measure related but different constructs. The objective of this paper is to describe the methods employed to achieve content validity in the descriptive system of the Assessment of Quality of Life (AQoL)-6D, MAU instrument. Methods The AQoL program introduced the use of psychometric methods in the construction of health related MAU instruments. To develop the AQoL-6D we selected 112 items from previous research, focus groups and expert judgment and administered them to 316 members of the public and 302 hospital patients. The search for content validity across a broad spectrum of health states required both formative and reflective modelling. We employed Exploratory Factor Analysis and Structural Equation Modelling (SEM) to meet these dual requirements. Results and Discussion The resulting instrument employs 20 items in a multi-tier descriptive system. Latent dimension variables achieve sensitive descriptions of 6 dimensions which, in turn, combine to form a single latent QoL variable. Diagnostic statistics from the SEM analysis are exceptionally good and confirm the hypothesised structure of the model. Conclusions The AQoL-6D descriptive system has good psychometric properties. They imply that the instrument has achieved construct validity and provides a sensitive description of HRQoL. This means that it may be used with confidence for measuring health related quality of life and that it is a suitable basis for modelling utilities for inclusion in the economic evaluation of health programs. PMID:22507254

Key Elements for Judging the Quality of a Risk Assessment

PubMed Central

Fenner-Crisp, Penelope A.; Dellarco, Vicki L.

2016-01-01

Background: Many reports have been published that contain recommendations for improving the quality, transparency, and usefulness of decision making for risk assessments prepared by agencies of the U.S. federal government. A substantial measure of consensus has emerged regarding the characteristics that high-quality assessments should possess. Objective: The goal was to summarize the key characteristics of a high-quality assessment as identified in the consensus-building process and to integrate them into a guide for use by decision makers, risk assessors, peer reviewers and other interested stakeholders to determine if an assessment meets the criteria for high quality. Discussion: Most of the features cited in the guide are applicable to any type of assessment, whether it encompasses one, two, or all four phases of the risk-assessment paradigm; whether it is qualitative or quantitative; and whether it is screening level or highly sophisticated and complex. Other features are tailored to specific elements of an assessment. Just as agencies at all levels of government are responsible for determining the effectiveness of their programs, so too should they determine the effectiveness of their assessments used in support of their regulatory decisions. Furthermore, if a nongovernmental entity wishes to have its assessments considered in the governmental regulatory decision-making process, then these assessments should be judged in the same rigorous manner and be held to similar standards. Conclusions: The key characteristics of a high-quality assessment can be summarized and integrated into a guide for judging whether an assessment possesses the desired features of high quality, transparency, and usefulness. Citation: Fenner-Crisp PA, Dellarco VL. 2016. Key elements for judging the quality of a risk assessment. Environ Health Perspect 124:1127–1135; http://dx.doi.org/10.1289/ehp.1510483 PMID:26862984

Noise Estimation and Quality Assessment of Gaussian Noise Corrupted Images

NASA Astrophysics Data System (ADS)

Kamble, V. M.; Bhurchandi, K.

2018-03-01

Evaluating the exact quantity of noise present in an image and quality of an image in the absence of reference image is a challenging task. We propose a near perfect noise estimation method and a no reference image quality assessment method for images corrupted by Gaussian noise. The proposed methods obtain initial estimate of noise standard deviation present in an image using the median of wavelet transform coefficients and then obtains a near to exact estimate using curve fitting. The proposed noise estimation method provides the estimate of noise within average error of +/-4%. For quality assessment, this noise estimate is mapped to fit the Differential Mean Opinion Score (DMOS) using a nonlinear function. The proposed methods require minimum training and yields the noise estimate and image quality score. Images from Laboratory for image and Video Processing (LIVE) database and Computational Perception and Image Quality (CSIQ) database are used for validation of the proposed quality assessment method. Experimental results show that the performance of proposed quality assessment method is at par with the existing no reference image quality assessment metric for Gaussian noise corrupted images.

How do we know? An assessment of integrated community case management data quality in four districts of Malawi.

PubMed

Yourkavitch, Jennifer; Zalisk, Kirsten; Prosnitz, Debra; Luhanga, Misheck; Nsona, Humphreys

2016-11-01

The World Health Organization contracted annual data quality assessments of Rapid Access Expansion (RAcE) projects to review integrated community case management (iCCM) data quality and the monitoring and evaluation (M&E) system for iCCM, and to suggest ways to improve data quality. The first RAcE data quality assessment was conducted in Malawi in January 2014 and we present findings pertaining to data from the health management information system at the community, facility and other sub-national levels because RAcE grantees rely on that for most of their monitoring data. We randomly selected 10 health facilities (10% of eligible facilities) from the four RAcE project districts, and collected quantitative data with an adapted and comprehensive tool that included an assessment of Malawi's M&E system for iCCM data and a data verification exercise that traced selected indicators through the reporting system. We rated the iCCM M&E system across five function areas based on interviews and observations, and calculated verification ratios for each data reporting level. We also conducted key informant interviews with Health Surveillance Assistants and facility, district and central Ministry of Health staff. Scores show a high-functioning M&E system for iCCM with some deficiencies in data management processes. The system lacks quality controls, including data entry verification, a protocol for addressing errors, and written procedures for data collection, entry, analysis and management. Data availability was generally high except for supervision data. The data verification process identified gaps in completeness and consistency, particularly in Health Surveillance Assistants' record keeping. Staff at all levels would like more training in data management. This data quality assessment illuminates where an otherwise strong M&E system for iCCM fails to ensure some aspects of data quality. Prioritizing data management with documented protocols, additional training and

Published methodological quality of randomized controlled trials does not reflect the actual quality assessed in protocols

PubMed Central

Mhaskar, Rahul; Djulbegovic, Benjamin; Magazin, Anja; Soares, Heloisa P.; Kumar, Ambuj

2011-01-01

Objectives To assess whether reported methodological quality of randomized controlled trials (RCTs) reflect the actual methodological quality, and to evaluate the association of effect size (ES) and sample size with methodological quality. Study design Systematic review Setting Retrospective analysis of all consecutive phase III RCTs published by 8 National Cancer Institute Cooperative Groups until year 2006. Data were extracted from protocols (actual quality) and publications (reported quality) for each study. Results 429 RCTs met the inclusion criteria. Overall reporting of methodological quality was poor and did not reflect the actual high methodological quality of RCTs. The results showed no association between sample size and actual methodological quality of a trial. Poor reporting of allocation concealment and blinding exaggerated the ES by 6% (ratio of hazard ratio [RHR]: 0.94, 95%CI: 0.88, 0.99) and 24% (RHR: 1.24, 95%CI: 1.05, 1.43), respectively. However, actual quality assessment showed no association between ES and methodological quality. Conclusion The largest study to-date shows poor quality of reporting does not reflect the actual high methodological quality. Assessment of the impact of quality on the ES based on reported quality can produce misleading results. PMID:22424985

Motivating medical information system performance by system quality, service quality, and job satisfaction for evidence-based practice.

PubMed

Chang, Ching-Sheng; Chen, Su-Yueh; Lan, Yi-Ting

2012-11-21

No previous studies have addressed the integrated relationships among system quality, service quality, job satisfaction, and system performance; this study attempts to bridge such a gap with evidence-based practice study. The convenience sampling method was applied to the information system users of three hospitals in southern Taiwan. A total of 500 copies of questionnaires were distributed, and 283 returned copies were valid, suggesting a valid response rate of 56.6%. SPSS 17.0 and AMOS 17.0 (structural equation modeling) statistical software packages were used for data analysis and processing. The findings are as follows: System quality has a positive influence on service quality (γ11= 0.55), job satisfaction (γ21= 0.32), and system performance (γ31= 0.47). Service quality (β31= 0.38) and job satisfaction (β32= 0.46) will positively influence system performance. It is thus recommended that the information office of hospitals and developers take enhancement of service quality and user satisfaction into consideration in addition to placing b on system quality and information quality when designing, developing, or purchasing an information system, in order to improve benefits and gain more achievements generated by hospital information systems.

A framework for assessing Health Economic Evaluation (HEE) quality appraisal instruments

PubMed Central

2012-01-01

Background Health economic evaluations support the health care decision-making process by providing information on costs and consequences of health interventions. The quality of such studies is assessed by health economic evaluation (HEE) quality appraisal instruments. At present, there is no instrument for measuring and improving the quality of such HEE quality appraisal instruments. Therefore, the objectives of this study are to establish a framework for assessing the quality of HEE quality appraisal instruments to support and improve their quality, and to apply this framework to those HEE quality appraisal instruments which have been subject to more scrutiny than others, in order to test the framework and to demonstrate the shortcomings of existing HEE quality appraisal instruments. Methods To develop the quality assessment framework for HEE quality appraisal instruments, the experiences of using appraisal tools for clinical guidelines are used. Based on a deductive iterative process, clinical guideline appraisal instruments identified through literature search are reviewed, consolidated, and adapted to produce the final quality assessment framework for HEE quality appraisal instruments. Results The final quality assessment framework for HEE quality appraisal instruments consists of 36 items organized within 7 dimensions, each of which captures a specific domain of quality. Applying the quality assessment framework to four existing HEE quality appraisal instruments, it is found that these four quality appraisal instruments are of variable quality. Conclusions The framework described in this study should be regarded as a starting point for appraising the quality of HEE quality appraisal instruments. This framework can be used by HEE quality appraisal instrument producers to support and improve the quality and acceptance of existing and future HEE quality appraisal instruments. By applying this framework, users of HEE quality appraisal instruments can become aware

Factors Affecting Variance in Classroom Assessment Scoring System Scores: Season, Context, and Classroom Composition

ERIC Educational Resources Information Center

Buell, Martha; Han, Myae; Vukelich, Carol

2017-01-01

Early care and education programme quality is usually assessed at the classroom level. One such measure of classroom quality is the classroom assessment scoring system (CLASS). In an effort to ensure higher quality programming, the CLASS is being used to direct teacher professional development. However, there has been relatively little research on…

Laboratory quality management system: road to accreditation and beyond.

PubMed

Wadhwa, V; Rai, S; Thukral, T; Chopra, M

2012-01-01

This review attempts to clarify the concepts of Laboratory Quality Management System (Lab QMS) for a medical testing and diagnostic laboratory in a holistic way and hopes to expand the horizon beyond quality control (QC) and quality assurance. It provides an insight on accreditation bodies and highlights a glimpse of existing laboratory practices but essentially it takes the reader through the journey of accreditation and during the course of reading and understanding this document, prepares the laboratory for the same. Some of the areas which have not been highlighted previously include: requirement for accreditation consultants, laboratory infrastructure and scope, applying for accreditation, document preparation. This section is well supported with practical illustrations and necessary tables and exhaustive details like preparation of a standard operating procedure and a quality manual. Concept of training and privileging of staff has been clarified and a few of the QC exercises have been dealt with in a novel way. Finally, a practical advice for facing an actual third party assessment and caution needed to prevent post-assessment pitfalls has been dealt with.

Progressing quality control in environmental impact assessment beyond legislative compliance: An evaluation of the IEMA EIA Quality Mark certification scheme

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

Bond, Alan, E-mail: alan.bond@uea.ac.uk; Research Unit for Environmental Sciences and Management, North-West University; Fischer, Thomas B, E-mail: fischer@liverpool.ac.uk

The effectiveness of Environmental Impact Assessment (EIA) systems is contingent on a number of control mechanisms: procedural; judicial; evaluative; public and government agency; professional; and development aid agency. If we assume that procedural and judicial controls are guaranteed in developed EIA systems, then progressing effectiveness towards an acceptable level depends on improving the performance of other control mechanisms over time. These other control mechanisms are either absent, or are typically centrally controlled, requiring public finances; this we argue is an unpopular model in times of greater Government austerity. Here we evaluate a market-based mechanism for improving the performance of evaluativemore » and professional control mechanisms, the UK Institute of Environmental Management and Assessments' EIA Quality Mark. We do this by defining dimensions of effectiveness for the purposes of our evaluation, and by identifying international examples of the approaches taken to delivering the other control measures to validate the approach taken in the EIA Quality Mark. We then evaluate the EIA Quality Mark, when used in combination with legal procedures and an active judiciary, against the effectiveness dimensions and use time-series analysis of registrant data to examine its ability to progress practice. We conclude that the EIA Quality Mark has merit as a model for a market-based mechanism, and may prove a more financially palatable approach for delivering effective EIA in mature systems in countries that lack centralised agency oversight. It may, therefore, be of particular interest to some Member States of the European Union for ensuring forthcoming certification requirements stemming from recent amendments to the EIA Directive. - Highlights: • Quality control mechanisms in EIA are identified. • Effectiveness of EIA is conceptualised for evaluation purposes. • The UK IEMA EIA Quality Mark is introduced as a market-based mechanism. �

Life quality assessment among patients with atopic eczema.

PubMed

Holm, E A; Wulf, H C; Stegmann, H; Jemec, G B E

2006-04-01

Quantification of quality of life (QoL) related to disease severity is important in patients with atopic eczema (AE), because the assessment provides additional information to the traditional objective clinical scoring systems. To measure health-related QoL (HRQoL) in patients with AE; to analyse discriminant, divergent and convergent validity by examining the association between various QoL methods; and to examine the association between disease severity assessed by an objective Severity Scoring of Atopic Dermatitis (SCORAD) and QoL. HRQoL was assessed at two visits at a 6-monthly interval in 101 patients with AE and 30 controls with one dermatology-specific questionnaire [Dermatology Life Quality Index (DLQI) or Children's DLQI (CDLQI)], one generic instrument (SF-36) and three visual analogue scales (VASs) of severity and pruritus. Objective SCORAD was used to measure disease severity. Patients with AE had significantly lower QoL than healthy controls and the general population. DLQI /CDLQI, pruritus, and patient and investigator overall assessment of eczema severity were significantly (P < 0.0001) and positively correlated with SCORAD, while the generic questionnaire showed only poor correlation. A gender difference was found for the mental component score of SF-36 (P = 0.019). AE has an impact on HRQoL. Patients' mental health, social functioning and role emotional functioning seem to be more affected than physical functioning. A simple VAS score of patients' assessment of disease severity showed the highest and most significant correlations with most of the HRQoL methods used. There is evidence to support the ability of patients with AE to make an accurate determination of their disease severity and QoL.

International drug price comparisons: quality assessment.

PubMed

Machado, Márcio; O'Brodovich, Ryan; Krahn, Murray; Einarson, Thomas R

2011-01-01

To quantitatively summarize results (i.e., prices and affordability) reported from international drug price comparison studies and assess their methodological quality. A systematic search of the most relevant databases-Medline, Embase, International Pharmaceutical Abstracts (IPA), and Scopus, from their inception to May 2009-was conducted to identify original research comparing international drug prices. International drug price information was extracted and recorded from accepted papers. Affordability was reported as drug prices adjusted for income. Study quality was assessed using six criteria: use of similar countries, use of a representative sample of drugs, selection of specific types of prices, identification of drug packaging, different weights on price indices, and the type of currency conversion used. Of the 1 828 studies identified, 21 were included. Only one study adequately addressed all quality issues. A large variation in study quality was observed due to the many methods used to conduct the drug price comparisons, such as different indices, economic parameters, price types, basket of drugs, and more. Thus, the quality of published studies was considered poor. Results varied across studies, but generally, higher income countries had higher drug prices. However, after adjusting drug prices for affordability, higher income countries had more affordable prices than lower income countries. Differences between drug prices and affordability in different countries were found. Low income countries reported less affordability of drugs, leaving room for potential problems with drug access, and consequently, a negative impact on health. The quality of the literature on this topic needs improvement.

A rapid response air quality analysis system for use in projects having stringent quality assurance requirements

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

Bowman, A.W.

1990-04-01

This paper describes an approach to solve air quality problems which frequently occur during iterations of the baseline change process. From a schedule standpoint, it is desirable to perform this evaluation in as short a time as possible while budgetary pressures limit the size of the staff available to do the work. Without a method in place to deal with baseline change proposal requests the environment analysts may not be able to produce the analysis results in the time frame expected. Using a concept called the Rapid Response Air Quality Analysis System (RAAS), the problems of timing and cost becomemore » tractable. The system could be adapted to assess other atmospheric pathway impacts, e.g., acoustics or visibility. The air quality analysis system used to perform the EA analysis (EA) for the Salt Repository Project (part of the Civilian Radioactive Waste Management Program), and later to evaluate the consequences of proposed baseline changes, consists of three components: Emission source data files; Emission rates contained in spreadsheets; Impact assessment model codes. The spreadsheets contain user-written codes (macros) that calculate emission rates from (1) emission source data (e.g., numbers and locations of sources, detailed operating schedules, and source specifications including horsepower, load factor, and duty cycle); (2) emission factors such as those published by the U.S. Environmental Protection Agency, and (3) control efficiencies.« less

Indoor air quality investigation and health risk assessment at correctional institutions.

PubMed

Ofungwu, Joseph

2005-04-01

A comprehensive indoor air-quality (IAQ) investigation was conducted at a state correctional facility in New Jersey, USA with a lengthy history of IAQ problems. The IAQ investigation comprised preliminary indoor air screening using direct readout instrumentation, indoor air/surface wipe sampling and laboratory analysis, as well as a heating, ventilation, and air-conditioning system evaluation, and a building envelope survey. In addition to air sampling, a human health risk assessment was performed to evaluate the potential for exposure to site-related air contaminants with respect to the inmate and worker populations. The risk assessment results for the prison facility indicated the potential for significant health risks for the inmate population, possibly reflecting the effects of their confinement and extended exposure to indoor air contaminants, as compared to the prison guard and worker population. Based on the results of the risk assessment, several mitigation measures are recommended to minimize prison population health risks and improve indoor air quality at prison facilities.

Assessment of the integration capability of system architectures from a complex and distributed software systems perspective

NASA Astrophysics Data System (ADS)

Leuchter, S.; Reinert, F.; Müller, W.

2014-06-01

Procurement and design of system architectures capable of network centric operations demand for an assessment scheme in order to compare different alternative realizations. In this contribution an assessment method for system architectures targeted at the C4ISR domain is presented. The method addresses the integration capability of software systems from a complex and distributed software system perspective focusing communication, interfaces and software. The aim is to evaluate the capability to integrate a system or its functions within a system-of-systems network. This method uses approaches from software architecture quality assessment and applies them on the system architecture level. It features a specific goal tree of several dimensions that are relevant for enterprise integration. These dimensions have to be weighed against each other and totalized using methods from the normative decision theory in order to reflect the intention of the particular enterprise integration effort. The indicators and measurements for many of the considered quality features rely on a model based view on systems, networks, and the enterprise. That means it is applicable to System-of-System specifications based on enterprise architectural frameworks relying on defined meta-models or domain ontologies for defining views and viewpoints. In the defense context we use the NATO Architecture Framework (NAF) to ground respective system models. The proposed assessment method allows evaluating and comparing competing system designs regarding their future integration potential. It is a contribution to the system-of-systems engineering methodology.

E-Services quality assessment framework for collaborative networks

NASA Astrophysics Data System (ADS)

Stegaru, Georgiana; Danila, Cristian; Sacala, Ioan Stefan; Moisescu, Mihnea; Mihai Stanescu, Aurelian

2015-08-01

In a globalised networked economy, collaborative networks (CNs) are formed to take advantage of new business opportunities. Collaboration involves shared resources and capabilities, such as e-Services that can be dynamically composed to automate CN participants' business processes. Quality is essential for the success of business process automation. Current approaches mostly focus on quality of service (QoS)-based service selection and ranking algorithms, overlooking the process of service composition which requires interoperable, adaptable and secure e-Services to ensure seamless collaboration, data confidentiality and integrity. Lack of assessment of these quality attributes can result in e-Service composition failure. The quality of e-Service composition relies on the quality of each e-Service and on the quality of the composition process. Therefore, there is the need for a framework that addresses quality from both views: product and process. We propose a quality of e-Service composition (QoESC) framework for quality assessment of e-Service composition for CNs which comprises of a quality model for e-Service evaluation and guidelines for quality of e-Service composition process. We implemented a prototype considering a simplified telemedicine use case which involves a CN in e-Healthcare domain. To validate the proposed quality-driven framework, we analysed service composition reliability with and without using the proposed framework.

Assessing the quality of the volume-outcome relationship in uro-oncology.

PubMed

Mayer, Erik K; Purkayastha, Sanjay; Athanasiou, Thanos; Darzi, Ara; Vale, Justin A

2009-02-01

To assess systematically the quality of evidence for the volume-outcome relationship in uro-oncology, and thus facilitate the formulating of health policy within this speciality, as 'Implementation of Improving Outcome Guidance' has led to centralization of uro-oncology based on published studies that have supported a 'higher volume-better outcome' relationship, but improved awareness of methodological drawbacks in health service research has questioned the strength of this proposed volume-outcome relationship. We systematically searched previous relevant reports and extracted all articles from 1980 onwards assessing the volume-outcome relationship for cystectomy, prostatectomy and nephrectomy at the institution and/or surgeon level. Studies were assessed for their methodological quality using a previously validated rating system. Where possible, meta-analytical methods were used to calculate overall differences in outcome measures between low and high volume healthcare providers. In all, 22 studies were included in the final analysis; 19 of these were published in the last 5 years. Only four studies appropriately explored the effect of both the institution and surgeon volume on outcome measures. Mortality and length of stay were the most frequently measured outcomes. The median total quality scores within each of the operation types were 8.5, 9 and 8 for cystectomy, prostatectomy and nephrectomy, respectively (possible maximum score 18). Random-effects modelling showed a higher risk of mortality in low-volume institutions than in higher-volume institutions for both cystectomy and nephrectomy (odds ratio 1.88, 95% confidence interval 1.54-2.29, and 1.28, 1.10-1.49, respectively). The methodological quality of volume-outcome research as applied to cystectomy, prostatectomy and nephrectomy is only modest at best. Accepting several limitations, pooled analysis confirms a higher-volume, lower-mortality relationship for cystectomy and nephrectomy. Future research should

Image quality assessment of automatic three-segment MR attenuation correction vs. CT attenuation correction.

PubMed

Partovi, Sasan; Kohan, Andres; Gaeta, Chiara; Rubbert, Christian; Vercher-Conejero, Jose L; Jones, Robert S; O'Donnell, James K; Wojtylak, Patrick; Faulhaber, Peter

2013-01-01

The purpose of this study is to systematically evaluate the usefulness of Positron emission tomography/Magnetic resonance imaging (PET/MRI) images in a clinical setting by assessing the image quality of Positron emission tomography (PET) images using a three-segment MR attenuation correction (MRAC) versus the standard CT attenuation correction (CTAC). We prospectively studied 48 patients who had their clinically scheduled FDG-PET/CT followed by an FDG-PET/MRI. Three nuclear radiologists evaluated the image quality of CTAC vs. MRAC using a Likert scale (five-point scale). A two-sided, paired t-test was performed for comparison purposes. The image quality was further assessed by categorizing it as acceptable (equal to 4 and 5 on the five-point Likert scale) or unacceptable (equal to 1, 2, and 3 on the five-point Likert scale) quality using the McNemar test. When assessing the image quality using the Likert scale, one reader observed a significant difference between CTAC and MRAC (p=0.0015), whereas the other readers did not observe a difference (p=0.8924 and p=0.1880, respectively). When performing the grouping analysis, no significant difference was found between CTAC vs. MRAC for any of the readers (p=0.6137 for reader 1, p=1 for reader 2, and p=0.8137 for reader 3). All three readers more often reported artifacts on the MRAC images than on the CTAC images. There was no clinically significant difference in quality between PET images generated on a PET/MRI system and those from a Positron emission tomography/Computed tomography (PET/CT) system. PET images using the automatic three-segmented MR attenuation method provided diagnostic image quality. However, future research regarding the image quality obtained using different MR attenuation based methods is warranted before PET/MRI can be used clinically.

Technology Needs Assessment of an Atmospheric Observation System for Multidisciplinary Air Quality/Meteorology Missions, Part 2

NASA Technical Reports Server (NTRS)

Alvarado, U. R.; Bortner, M. H.; Grenda, R. N.; Brehm, W. F.; Frippel, G. G.; Alyea, F.; Kraiman, H.; Folder, P.; Krowitz, L.

1982-01-01

The technology advancements that will be necessary to implement the atmospheric observation systems are considered. Upper and lower atmospheric air quality and meteorological parameters necessary to support the air quality investigations were included. The technology needs were found predominantly in areas related to sensors and measurements of air quality and meteorological measurements.

Assessing primary care data quality.

PubMed

Lim, Yvonne Mei Fong; Yusof, Maryati; Sivasampu, Sheamini

2018-04-16

Purpose The purpose of this paper is to assess National Medical Care Survey data quality. Design/methodology/approach Data completeness and representativeness were computed for all observations while other data quality measures were assessed using a 10 per cent sample from the National Medical Care Survey database; i.e., 12,569 primary care records from 189 public and private practices were included in the analysis. Findings Data field completion ranged from 69 to 100 per cent. Error rates for data transfer from paper to web-based application varied between 0.5 and 6.1 per cent. Error rates arising from diagnosis and clinical process coding were higher than medication coding. Data fields that involved free text entry were more prone to errors than those involving selection from menus. The authors found that completeness, accuracy, coding reliability and representativeness were generally good, while data timeliness needs to be improved. Research limitations/implications Only data entered into a web-based application were examined. Data omissions and errors in the original questionnaires were not covered. Practical implications Results from this study provided informative and practicable approaches to improve primary health care data completeness and accuracy especially in developing nations where resources are limited. Originality/value Primary care data quality studies in developing nations are limited. Understanding errors and missing data enables researchers and health service administrators to prevent quality-related problems in primary care data.

Interactions between patients, providers, and health systems and technical quality of care.

PubMed

Yelin, Edward; Yazdany, Jinoos; Tonner, Chris; Trupin, Laura; Criswell, Lindsey A; Katz, Patricia; Schmajuk, Gabriela

2015-03-01

Prior studies have established disparities by race/ethnicity and socioeconomic status (SES) in the kind, quantity, and technical quality of systemic lupus erythematosus (SLE) care and outcomes. In this study we evaluate whether disparities exist in assessments of interactions with health care providers and health plans and whether such interactions affect the technical quality of SLE care. Data derive from the Lupus Outcomes Study (LOS). Principal data collection is an annual structured phone interview including items from the Consumer Assessment of Health Plans and Interpersonal Processes of Care Scale measuring dimensions of health care interactions. We use general estimating equations to assess whether disparities exist by race/ethnicity and SES in being in the lowest quartile of ratings of such interactions and whether ratings in the lowest quartile of interactions are associated with technical quality of care after adjustment for sociodemographic and disease characteristics. In the 2012 LOS interview, there were 793 respondents, of whom 640 had ≥1 visit to their principal SLE provider. Nonwhite race/ethnicity and education were not associated with low ratings on any dimension of provider or system interaction; poverty was associated only with low ratings of health plan interactions. After adjustment for demographics, SLE status, and health care variables, ratings in the lowest quartile on all dimensions were associated with significantly lower technical quality of care. Ratings in the lowest quartile on all dimensions of interactions with providers and the health care system were associated with lower technical quality of care, potentially resulting in poorer SLE outcomes. Copyright © 2015 by the American College of Rheumatology.

Quality of Life in Patients With Advanced Cancer: Differential Association With Performance Status and Systemic Inflammatory Response.

PubMed

Laird, Barry J A; Fallon, Marie; Hjermstad, Marianne J; Tuck, Sharon; Kaasa, Stein; Klepstad, Pål; McMillan, Donald C

2016-08-10

Quality of life is a key component of cancer care; however, the factors that determine quality of life are not well understood. The aim of this study was to examine the relationship between quality of life parameters, performance status (PS), and the systemic inflammatory response in patients with advanced cancer. An international biobank of patients with advanced cancer was analyzed. Quality of life was assessed at a single time point by using the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire C-30 (EORTC QLQ-C30). PS was assessed by using the Eastern Cooperative Oncology Group (ECOG) classification. Systemic inflammation was assessed by using the modified Glasgow Prognostic Score (mGPS), which combines C-reactive protein and albumin. The relationship between quality of life parameters, ECOG PS, and the mGPS was examined. Data were available for 2,520 patients, and the most common cancers were GI (585 patients [22.2%]) and pulmonary (443 patients [17.6%]). The median survival was 4.25 months (interquartile range, 1.36 to 12.9 months). Increasing mGPS (systemic inflammation) and deteriorating PS were associated with deterioration in quality-of-life parameters (P < .001). Increasing systemic inflammation was associated with deterioration in quality-of-life parameters independent of PS. Systemic inflammation was associated with quality-of-life parameters independent of PS in patients with advanced cancer. Further investigation of these relationships in longitudinal studies and investigations of possible effects of attenuating systemic inflammation are now warranted. © 2016 by American Society of Clinical Oncology.

Funneling Child Welfare Consumers into and through the Mental Health System: Assessment, Referral, and Quality Issues

PubMed Central

Fedoravicius, Nicole; McMillen, J. Curtis; Rowe, Jill E.; Kagotho, Njeri; Ware, Norma C.

2012-01-01

This qualitative study explores how consumers of child welfare services reach nonpsychiatric mental health providers and the perceived quality of these services. It relies on iterative interviews with individuals and groups, as well as on court observations from one metropolitan area. Results suggest that, consistent with theories of street-level bureaucracy, efficiency issues drive mental health service use, as clients are routinely subjected to psychological evaluations and funneled into mental health services as a matter of course. Referral practices are shaped by child welfare professionals' routines, discretion, and desire to meet such system objectives as providing short turnaround times for reports. The results suggest that, despite stakeholders' best intentions, maltreated children are not benefiting from thoughtful processes geared to screen for, assess, and provide targeted treatment for unmet mental health needs. PMID:22740722

Published methodological quality of randomized controlled trials does not reflect the actual quality assessed in protocols.

PubMed

Mhaskar, Rahul; Djulbegovic, Benjamin; Magazin, Anja; Soares, Heloisa P; Kumar, Ambuj

2012-06-01

To assess whether the reported methodological quality of randomized controlled trials (RCTs) reflects the actual methodological quality and to evaluate the association of effect size (ES) and sample size with methodological quality. Systematic review. This is a retrospective analysis of all consecutive phase III RCTs published by eight National Cancer Institute Cooperative Groups up to 2006. Data were extracted from protocols (actual quality) and publications (reported quality) for each study. Four hundred twenty-nine RCTs met the inclusion criteria. Overall reporting of methodological quality was poor and did not reflect the actual high methodological quality of RCTs. The results showed no association between sample size and actual methodological quality of a trial. Poor reporting of allocation concealment and blinding exaggerated the ES by 6% (ratio of hazard ratio [RHR]: 0.94; 95% confidence interval [CI]: 0.88, 0.99) and 24% (RHR: 1.24; 95% CI: 1.05, 1.43), respectively. However, actual quality assessment showed no association between ES and methodological quality. The largest study to date shows that poor quality of reporting does not reflect the actual high methodological quality. Assessment of the impact of quality on the ES based on reported quality can produce misleading results. Copyright © 2012 Elsevier Inc. All rights reserved.

42 CFR 460.136 - Internal quality assessment and performance improvement activities.

Code of Federal Regulations, 2010 CFR

2010-10-01

... 42 Public Health 4 2010-10-01 2010-10-01 false Internal quality assessment and performance improvement activities. 460.136 Section 460.136 Public Health CENTERS FOR MEDICARE & MEDICAID SERVICES....136 Internal quality assessment and performance improvement activities. (a) Quality assessment and...

42 CFR 460.136 - Internal quality assessment and performance improvement activities.

Code of Federal Regulations, 2014 CFR

2014-10-01

... in quality assessment and performance improvement activities, including providing information about... 42 Public Health 4 2014-10-01 2014-10-01 false Internal quality assessment and performance...) PROGRAMS OF ALL-INCLUSIVE CARE FOR THE ELDERLY (PACE) Quality Assessment and Performance Improvement § 460...

42 CFR 460.136 - Internal quality assessment and performance improvement activities.

Code of Federal Regulations, 2012 CFR

2012-10-01

... in quality assessment and performance improvement activities, including providing information about... 42 Public Health 4 2012-10-01 2012-10-01 false Internal quality assessment and performance...) PROGRAMS OF ALL-INCLUSIVE CARE FOR THE ELDERLY (PACE) Quality Assessment and Performance Improvement § 460...

42 CFR 460.136 - Internal quality assessment and performance improvement activities.

Code of Federal Regulations, 2013 CFR

2013-10-01

... in quality assessment and performance improvement activities, including providing information about... 42 Public Health 4 2013-10-01 2013-10-01 false Internal quality assessment and performance...) PROGRAMS OF ALL-INCLUSIVE CARE FOR THE ELDERLY (PACE) Quality Assessment and Performance Improvement § 460...

Revised Methods for Characterizing Stream Habitat in the National Water-Quality Assessment Program

USGS Publications Warehouse

Fitzpatrick, Faith A.; Waite, Ian R.; D'Arconte, Patricia J.; Meador, Michael R.; Maupin, Molly A.; Gurtz, Martin E.

1998-01-01

Stream habitat is characterized in the U.S. Geological Survey's National Water-Quality Assessment (NAWQA) Program as part of an integrated physical, chemical, and biological assessment of the Nation's water quality. The goal of stream habitat characterization is to relate habitat to other physical, chemical, and biological factors that describe water-quality conditions. To accomplish this goal, environmental settings are described at sites selected for water-quality assessment. In addition, spatial and temporal patterns in habitat are examined at local, regional, and national scales. This habitat protocol contains updated methods for evaluating habitat in NAWQA Study Units. Revisions are based on lessons learned after 6 years of applying the original NAWQA habitat protocol to NAWQA Study Unit ecological surveys. Similar to the original protocol, these revised methods for evaluating stream habitat are based on a spatially hierarchical framework that incorporates habitat data at basin, segment, reach, and microhabitat scales. This framework provides a basis for national consistency in collection techniques while allowing flexibility in habitat assessment within individual Study Units. Procedures are described for collecting habitat data at basin and segment scales; these procedures include use of geographic information system data bases, topographic maps, and aerial photographs. Data collected at the reach scale include channel, bank, and riparian characteristics.

Surgical quality assessment. A simplified approach.

PubMed

DeLong, D L

1991-10-01

The current approach to QA primarily involves taking action when problems are discovered and designing a documentation system that records the deliverance of quality care. Involving the entire staff helps eliminate problems before they occur. By keeping abreast of current problems and soliciting input from staff members, the QA at our hospital has improved dramatically. The cross-referencing of JCAHO and AORN standards on the assessment form and the single-sheet reporting form expedite the evaluation process and simplify record keeping. The bulletin board increases staff members' understanding of QA and boosts morale and participation. A sound and effective QA program does not require reorganizing an entire department, nor should it invoke negative connotations. Developing an effective QA program merely requires rethinking current processes. The program must meet the department's specific needs, and although many departments concentrate on documentation, auditing charts does not give a complete picture of the quality of care delivered. The QA committee must employ a variety of data collection methods on multiple indicators to ensure an accurate representation of the care delivered, and they must not overlook any issues that directly affect patient outcomes.

Motivating medical information system performance by system quality, service quality, and job satisfaction for evidence-based practice

PubMed Central

2012-01-01

Background No previous studies have addressed the integrated relationships among system quality, service quality, job satisfaction, and system performance; this study attempts to bridge such a gap with evidence-based practice study. Methods The convenience sampling method was applied to the information system users of three hospitals in southern Taiwan. A total of 500 copies of questionnaires were distributed, and 283 returned copies were valid, suggesting a valid response rate of 56.6%. SPSS 17.0 and AMOS 17.0 (structural equation modeling) statistical software packages were used for data analysis and processing. Results The findings are as follows: System quality has a positive influence on service quality (γ11= 0.55), job satisfaction (γ21= 0.32), and system performance (γ31= 0.47). Service quality (β31= 0.38) and job satisfaction (β32= 0.46) will positively influence system performance. Conclusions It is thus recommended that the information office of hospitals and developers take enhancement of service quality and user satisfaction into consideration in addition to placing b on system quality and information quality when designing, developing, or purchasing an information system, in order to improve benefits and gain more achievements generated by hospital information systems. PMID:23171394

A new approach to subjectively assess quality of plenoptic content

NASA Astrophysics Data System (ADS)

Viola, Irene; Řeřábek, Martin; Ebrahimi, Touradj

2016-09-01

Plenoptic content is becoming increasingly popular thanks to the availability of acquisition and display devices. Thanks to image-based rendering techniques, a plenoptic content can be rendered in real time in an interactive manner allowing virtual navigation through the captured scenes. This way of content consumption enables new experiences, and therefore introduces several challenges in terms of plenoptic data processing, transmission and consequently visual quality evaluation. In this paper, we propose a new methodology to subjectively assess the visual quality of plenoptic content. We also introduce a prototype software to perform subjective quality assessment according to the proposed methodology. The proposed methodology is further applied to assess the visual quality of a light field compression algorithm. Results show that this methodology can be successfully used to assess the visual quality of plenoptic content.

Automated Assessment of the Quality of Depression Websites

PubMed Central

Tang, Thanh Tin; Hawking, David; Christensen, Helen

2005-01-01

Background Since health information on the World Wide Web is of variable quality, methods are needed to assist consumers to identify health websites containing evidence-based information. Manual assessment tools may assist consumers to evaluate the quality of sites. However, these tools are poorly validated and often impractical. There is a need to develop better consumer tools, and in particular to explore the potential of automated procedures for evaluating the quality of health information on the web. Objective This study (1) describes the development of an automated quality assessment procedure (AQA) designed to automatically rank depression websites according to their evidence-based quality; (2) evaluates the validity of the AQA relative to human rated evidence-based quality scores; and (3) compares the validity of Google PageRank and the AQA as indicators of evidence-based quality. Method The AQA was developed using a quality feedback technique and a set of training websites previously rated manually according to their concordance with statements in the Oxford University Centre for Evidence-Based Mental Health’s guidelines for treating depression. The validation phase involved 30 websites compiled from the DMOZ, Yahoo! and LookSmart Depression Directories by randomly selecting six sites from each of the Google PageRank bands of 0, 1-2, 3-4, 5-6 and 7-8. Evidence-based ratings from two independent raters (based on concordance with the Oxford guidelines) were then compared with scores derived from the automated AQA and Google algorithms. There was no overlap in the websites used in the training and validation phases of the study. Results The correlation between the AQA score and the evidence-based ratings was high and significant (r=0.85, P<.001). Addition of a quadratic component improved the fit, the combined linear and quadratic model explaining 82 percent of the variance. The correlation between Google PageRank and the evidence-based score was lower than

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.

Quality control in public participation assessments of water quality: the OPAL Water Survey.

PubMed

Rose, N L; Turner, S D; Goldsmith, B; Gosling, L; Davidson, T A

2016-07-22

Public participation in scientific data collection is a rapidly expanding field. In water quality surveys, the involvement of the public, usually as trained volunteers, generally includes the identification of aquatic invertebrates to a broad taxonomic level. However, quality assurance is often not addressed and remains a key concern for the acceptance of publicly-generated water quality data. The Open Air Laboratories (OPAL) Water Survey, launched in May 2010, aimed to encourage interest and participation in water science by developing a 'low-barrier-to-entry' water quality survey. During 2010, over 3000 participant-selected lakes and ponds were surveyed making this the largest public participation lake and pond survey undertaken to date in the UK. But the OPAL approach of using untrained volunteers and largely anonymous data submission exacerbates quality control concerns. A number of approaches were used in order to address data quality issues including: sensitivity analysis to determine differences due to operator, sampling effort and duration; direct comparisons of identification between participants and experienced scientists; the use of a self-assessment identification quiz; the use of multiple participant surveys to assess data variability at single sites over short periods of time; comparison of survey techniques with other measurement variables and with other metrics generally considered more accurate. These quality control approaches were then used to screen the OPAL Water Survey data to generate a more robust dataset. The OPAL Water Survey results provide a regional and national assessment of water quality as well as a first national picture of water clarity (as suspended solids concentrations). Less than 10 % of lakes and ponds surveyed were 'poor' quality while 26.8 % were in the highest water quality band. It is likely that there will always be a question mark over untrained volunteer generated data simply because quality assurance is uncertain

Assessment Quality and Practices in Secondary PE in the Netherlands

ERIC Educational Resources Information Center

Borghouts, Lars B.; Slingerland, Menno; Haerens, Leen

2017-01-01

Background: Assessment can have various functions, and is an important impetus for student learning. For assessment to be effective, it should be aligned with curriculum goals and of sufficient quality. Although it has been suggested that assessment quality in physical education (PE) is suboptimal, research into actual assessment practices has…

School Awards Programs and Accountability in Massachusetts: Misusing MCAS Scores To Assess School Quality.

ERIC Educational Resources Information Center

Wheelock, Anne

Scores on the Massachusetts Comprehensive Assessment System (MCAS) tests are used to select exemplary schools in Massachusetts, and the schools thus identified can receive awards from three different programs. This study examined the evidence about the use of MCAS scores to assess school quality. These three programs use MCAS to identify exemplary…

Doctors or technicians: assessing quality of medical education

PubMed Central

Hasan, Tayyab

2010-01-01

Medical education institutions usually adapt industrial quality management models that measure the quality of the process of a program but not the quality of the product. The purpose of this paper is to analyze the impact of industrial quality management models on medical education and students, and to highlight the importance of introducing a proper educational quality management model. Industrial quality management models can measure the training component in terms of competencies, but they lack the educational component measurement. These models use performance indicators to assess their process improvement efforts. Researchers suggest that the performance indicators used in educational institutions may only measure their fiscal efficiency without measuring the quality of the educational experience of the students. In most of the institutions, where industrial models are used for quality assurance, students are considered as customers and are provided with the maximum services and facilities possible. Institutions are required to fulfill a list of recommendations from the quality control agencies in order to enhance student satisfaction and to guarantee standard services. Quality of medical education should be assessed by measuring the impact of the educational program and quality improvement procedures in terms of knowledge base development, behavioral change, and patient care. Industrial quality models may focus on academic support services and processes, but educational quality models should be introduced in parallel to focus on educational standards and products. PMID:23745059

Doctors or technicians: assessing quality of medical education.

PubMed

Hasan, Tayyab

2010-01-01

Medical education institutions usually adapt industrial quality management models that measure the quality of the process of a program but not the quality of the product. The purpose of this paper is to analyze the impact of industrial quality management models on medical education and students, and to highlight the importance of introducing a proper educational quality management model. Industrial quality management models can measure the training component in terms of competencies, but they lack the educational component measurement. These models use performance indicators to assess their process improvement efforts. Researchers suggest that the performance indicators used in educational institutions may only measure their fiscal efficiency without measuring the quality of the educational experience of the students. In most of the institutions, where industrial models are used for quality assurance, students are considered as customers and are provided with the maximum services and facilities possible. Institutions are required to fulfill a list of recommendations from the quality control agencies in order to enhance student satisfaction and to guarantee standard services. Quality of medical education should be assessed by measuring the impact of the educational program and quality improvement procedures in terms of knowledge base development, behavioral change, and patient care. Industrial quality models may focus on academic support services and processes, but educational quality models should be introduced in parallel to focus on educational standards and products.

[Integrated health information system based on Resident Assessment Instruments].

PubMed

Frijters, D; Achterberg, W; Hirdes, J P; Fries, B E; Morris, J N; Steel, K

2001-02-01

The paper explores the meaning of Resident Assessment Instruments. It gives a summary of existing RAI instruments and derived applications. It argues how all of these form the basis for an integrated health information system for "chain care" (home care, home for the elderly care, nursing home care, mental health care and acute care). The primary application of RAI systems is the assessment of client care needs, followed by an analysis of the required and administered care with the objective to make an optimal individual care plan. On the basis of RAI, however, applications have been derived for reimbursement systems, quality improvement programs, accreditation, benchmarking, best practice comparison and care eligibility systems. These applications have become possible by the development on the basis of the Minimum Data Set of RAI of outcome measures (item scores, scales and indices), case-mix classifications and quality indicators. To illustrate the possibilities of outcome measures of RAI we present a table and a figure with data of six Dutch nursing homes which shows how social engagement is related to ADL and cognition. We argue that RAI/MDS assessment instruments comprise an integrated health information system because they have consistent terminology, common core items, and a common conceptual basis in a clinical approach that emphasizes the identification of functional problems.

Work System Assessment to Facilitate the Dissemination of a Quality Improvement Program for Optimizing Blood Culture Use: A Case Study Using a Human Factors Engineering Approach.

PubMed

Xie, Anping; Woods-Hill, Charlotte Z; King, Anne F; Enos-Graves, Heather; Ascenzi, Judy; Gurses, Ayse P; Klaus, Sybil A; Fackler, James C; Milstone, Aaron M

2017-11-20

Work system assessments can facilitate successful implementation of quality improvement programs. Using a human factors engineering approach, we conducted a work system assessment to facilitate the dissemination of a quality improvement program for optimizing blood culture use in pediatric intensive care units at 2 hospitals. Semistructured face-to-face interviews were conducted with clinicians from Johns Hopkins All Children's Hospital and University of Virginia Medical Center. Interview data were analyzed using qualitative content analysis. Blood culture-ordering practices are influenced by various work system factors, including people, tasks, tools and technologies, the physical environment, organizational conditions, and the external environment. A clinical decision-support tool could facilitate implementation by (1) standardizing blood culture-ordering practices, (2) ensuring that prescribing clinicians review the patient's condition before ordering a blood culture, (3) facilitating critical thinking, and (4) empowering nurses to communicate with physicians and advocate for adherence to blood culture-ordering guidelines. The success of interventions for optimizing blood culture use relies heavily on the local context. A work system analysis using a human factors engineering approach can identify key areas to be addressed for the successful dissemination of quality improvement interventions. © The Author 2017. Published by Oxford University Press on behalf of The Journal of the Pediatric Infectious Diseases Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Organ Donation European Quality System: ODEQUS project methodology.

PubMed

Manyalich, M; Guasch, X; Gomez, M P; Páez, G; Teixeira, L

2013-01-01

Differences in the number of organ donors among hospitals cannot be explained only by the number of intensive care unit beds used or neurologic patients treated. The figures obtained are influenced by the organizational structure of the donation process and how efficient it is. The Organ Donation European Quality System (ODEQUS) is a 3-year project (from October 2010 to September 2013) co-financed by the European Agency for Health and Consumers (EAHC20091108) which aims to define a methodology to evaluate organ procurement performance at the hospital level. ODEQUS's specific objectives are to identify quality criteria and to develop quality indicators in three types of organ donation (after brain death, after cardiac death, and living donation). Those tools will be useful for hospitals' self-assessment as well as for developing an international auditing model. A consortium has been established involving 14 associated partners from Austria, Croatia, France, Germany, Italy, Poland, Portugal, Romania, Spain, Sweden, and the United Kingdom, as well as five collaborating partners from Greece, Hungary, Malta, Slovenia, and Turkey. The project has been established in three steps: 1) Design of a survey about the use of quality tools in a wide sample of European hospitals; 2) Development of quality criteria and quality indicators by the project experts. The main fields considered have been organizational structures, clinical procedures, and outcomes; and 3) Elaboration of an evaluation system to test the quality indicators in 11 European hospitals. Two types of training have been designed and performed: one concerns the development of quality criteria and quality indicators, whereas another is focused on how to use evaluation tools. Following this methodology, the project has so far identified 131 quality criteria and developed 31 quality indicators. Currently, the quality indicators are being tested in 11 selected hospitals. Copyright © 2013 Elsevier Inc. All rights

Validation of a method for assessing resident physicians' quality improvement proposals.

PubMed

Leenstra, James L; Beckman, Thomas J; Reed, Darcy A; Mundell, William C; Thomas, Kris G; Krajicek, Bryan J; Cha, Stephen S; Kolars, Joseph C; McDonald, Furman S

2007-09-01

Residency programs involve trainees in quality improvement (QI) projects to evaluate competency in systems-based practice and practice-based learning and improvement. Valid approaches to assess QI proposals are lacking. We developed an instrument for assessing resident QI proposals--the Quality Improvement Proposal Assessment Tool (QIPAT-7)-and determined its validity and reliability. QIPAT-7 content was initially obtained from a national panel of QI experts. Through an iterative process, the instrument was refined, pilot-tested, and revised. Seven raters used the instrument to assess 45 resident QI proposals. Principal factor analysis was used to explore the dimensionality of instrument scores. Cronbach's alpha and intraclass correlations were calculated to determine internal consistency and interrater reliability, respectively. QIPAT-7 items comprised a single factor (eigenvalue = 3.4) suggesting a single assessment dimension. Interrater reliability for each item (range 0.79 to 0.93) and internal consistency reliability among the items (Cronbach's alpha = 0.87) were high. This method for assessing resident physician QI proposals is supported by content and internal structure validity evidence. QIPAT-7 is a useful tool for assessing resident QI proposals. Future research should determine the reliability of QIPAT-7 scores in other residency and fellowship training programs. Correlations should also be made between assessment scores and criteria for QI proposal success such as implementation of QI proposals, resident scholarly productivity, and improved patient outcomes.

Ground-water quality assessment of the central Oklahoma Aquifer, Oklahoma; project description

USGS Publications Warehouse

Christenson, S.C.; Parkhurst, D.L.

1987-01-01

In April 1986, the U.S. Geological Survey began a pilot program to assess the quality of the Nation's surface-water and ground-water resources. The program, known as the National Water-Quality Assessment (NAWQA) program, is designed to acquire and interpret information about a variety of water-quality issues. The Central Oklahoma aquifer project is one of three ground-water pilot projects that have been started. The NAWQA program also incudes four surface-water pilot projects. The Central Oklahoma aquifer project, as part of the pilot NAWQA program, will develop and test methods for performing assessments of ground-water quality. The objectives of the Central Oklahoma aquifer assessment are: (1) To investigate regional ground-water quality throughout the aquifer in the manner consistent with the other pilot ground-water projects, emphasizing the occurrence and distribution of potentially toxic substances in ground water, including trace elements, organic compounds, and radioactive constituents; (2) to describe relations between ground-water quality, land use, hydrogeology, and other pertinent factors; and (3) to provide a general description of the location, nature, and possible causes of selected prevalent water-quality problems within the study unit; and (4) to describe the potential for water-quality degradation of ground-water zones within the study unit. The Central Oklahoma aquifer, which includes in descending order the Garber Sandstone and Wellington Formation, the Chase Group, the Council Grove Group, the Admire Group, and overlying alluvium and terrace deposits, underlies about 3,000 square miles of central Oklahoma and is used extensively for municipal, industrial, commercial, and domestic water supplies. The aquifer was selected for study by the NAWQA program because it is a major source for water supplies in central Oklahoma and because it has several known or suspected water-quality problems. Known problems include concentrations of arsenic, chromium

Quality assurance, benchmarking, assessment and mutual international recognition of qualifications.

PubMed

Hobson, R; Rolland, S; Rotgans, J; Schoonheim-Klein, M; Best, H; Chomyszyn-Gajewska, M; Dymock, D; Essop, R; Hupp, J; Kundzina, R; Love, R; Memon, R A; Moola, M; Neumann, L; Ozden, N; Roth, K; Samwel, P; Villavicencio, J; Wright, P; Harzer, W

2008-02-01

The aim of this report is to provide guidance to assist in the international convergence of quality assurance, benchmarking and assessment systems to improve dental education. Proposals are developed for mutual recognition of qualifications, to aid international movement and exchange of staff and students including and supporting developing countries. Quality assurance is the responsibility of all staff involved in dental education and involves three levels: internal, institutional and external. Benchmarking information provides a subject framework. Benchmarks are useful for a variety of purposes including design and validation of programmes, examination and review; they can also strengthen the accreditation process undertaken by professional and statutory bodies. Benchmark information can be used by institutions as part of their programme approval process, to set degree standards. The standards should be developed by the dental academic community through formal groups of experts. Assessment outcomes of student learning are a measure of the quality of the learning programme. The goal of an effective assessment strategy should be that it provides the starting point for students to adopt a positive approach to effective and competent practice, reflective and lifelong learning. All assessment methods should be evidence based or based upon research. Mutual recognition of professional qualifications means that qualifications gained in one country (the home country) are recognized in another country (the host country). It empowers movement of skilled workers, which can help resolve skills shortages within participating countries. These proposals are not intended to be either exhaustive or prescriptive; they are purely for guidance and derived from the identification of what is perceived to be 'best practice'.

Southwest principal aquifers regional ground-water quality assessment

USGS Publications Warehouse

Anning, D.W.; Thiros, Susan A.; Bexfield, L.M.; McKinney, T.S.; Green, J.M.

2009-01-01

The National Water-Quality Assessment (NAWQA) Program of the U.S. Geological Survey is conducting a regional analysis of water quality in the principal aquifers in the southwestern United States. The Southwest Principal Aquifers (SWPA) study is building a better understanding of the susceptibility and vulnerability of basin-fill aquifers in the region to ground-water contamination by synthesizing the baseline knowledge of ground-water quality conditions in 15 basins previously studied by the NAWQA Program. The improved understanding of aquifer susceptibility and vulnerability to contamination is assisting in the development of tools that water managers can use to assess and protect the quality of ground-water resources. This fact sheet provides an overview of the basin-fill aquifers in the southwestern United States and description of the completed and planned regional analyses of ground-water quality being performed by the SWPA study.

A research review of quality assessment for software

NASA Technical Reports Server (NTRS)

1991-01-01

Measures were recommended to assess the quality of software submitted to the AdaNet program. The quality factors that are important to software reuse are explored and methods of evaluating those factors are discussed. Quality factors important to software reuse are: correctness, reliability, verifiability, understandability, modifiability, and certifiability. Certifiability is included because the documentation of many factors about a software component such as its efficiency, portability, and development history, constitute a class for factors important to some users, not important at all to other, and impossible for AdaNet to distinguish between a priori. The quality factors may be assessed in different ways. There are a few quantitative measures which have been shown to indicate software quality. However, it is believed that there exists many factors that indicate quality and have not been empirically validated due to their subjective nature. These subjective factors are characterized by the way in which they support the software engineering principles of abstraction, information hiding, modularity, localization, confirmability, uniformity, and completeness.

Quality assessments for cancer centers in the European Union.

PubMed

Wind, Anke; Rajan, Abinaya; van Harten, Wim H

2016-09-07

Cancer centers are pressured to deliver high-quality services that can be measured and improved, which has led to an increase of assessments in many countries. A critical area of quality improvement is to improve patient outcome. An overview of existing assessments can help stakeholders (e.g., healthcare professionals, managers and policy makers) improve the quality of cancer research and care and lead to patient benefits. This paper presents key aspects of assessments undertaken by European cancer centers, such as: are assessments mandatory or voluntary? Do they focus on evaluating research, care or both? And are they international or national? A survey was sent to 33 cancer centers in 28 European Union member states. Participants were asked to score the specifics for each assessment that they listed. Based on the responses from 19 cancer centers from 18 member states, we found 109 assessments. The numbers have steadily increased from 1990's till 2015. Although, a majority of assessments are on patient-care aspects (n = 45), it is unclear how many of those include assessing patient benefits. Only few assessments cover basic research. There is an increasing trend towards mixed assessments (i.e., combining research and patient-care aspects) The need for assessments in cancer centers is increasing. To improve efforts in the quality of research and patient care and to prevent new assessments that "reinvent the wheel", it is advised to start comparative research into the assessments that are likely to bring patient benefits and improve patient outcome. Do assessments provide consistent and reliable information that create added value for all key stakeholders?

Personal and macro-systemic factors as predictors of quality of life in chronic schizophrenia.

PubMed

Fontanil-Gómez, Yolanda; Alcedo Rodríguez, María A; Gutiérrez López, María I

2017-05-01

The goal of this research was to establish possible predictive factors for both subjective and externally assessed quality of life in people with chronic schizophrenia. Sixty-eight people with schizophrenia took part in the study and were assessed using the World Health Organisation Quality of Life Assessment - Brief Version (WHOQOL-BREF), the Quality of Life Scale (QLS), the Positive and Negative Syndrome Scale for Schizophrenia (PANSS), the Global Assessment of Functioning (GAF), the Social Functioning Scale (SFS) tests. Correlations and multiple regression analysis were conducted to determine possible predictors of quality of life. The residential environment (rural/urban), diagnosis, age at onset of disorder, global functioning and social functioning explained 68% of the total variance based on proxies’ assessment quality of life. Living arrangements and social functioning emerged as predictor variables for subjective quality of life, explaining a 47.3% of the total variance. Socio-cultural factors, such as social integration or the quality of interpersonal relationships, have more influence on these peoples’ physical and psychological health than certain personal factors, such as psychopathology. It is therefore advisable to pay attention to the environment and macro-systemic variables when developing intervention plans to improve their quality of life.

A systematic literature review of open source software quality assessment models.

PubMed

Adewumi, Adewole; Misra, Sanjay; Omoregbe, Nicholas; Crawford, Broderick; Soto, Ricardo

2016-01-01

Many open source software (OSS) quality assessment models are proposed and available in the literature. However, there is little or no adoption of these models in practice. In order to guide the formulation of newer models so they can be acceptable by practitioners, there is need for clear discrimination of the existing models based on their specific properties. Based on this, the aim of this study is to perform a systematic literature review to investigate the properties of the existing OSS quality assessment models by classifying them with respect to their quality characteristics, the methodology they use for assessment, and their domain of application so as to guide the formulation and development of newer models. Searches in IEEE Xplore, ACM, Science Direct, Springer and Google Search is performed so as to retrieve all relevant primary studies in this regard. Journal and conference papers between the year 2003 and 2015 were considered since the first known OSS quality model emerged in 2003. A total of 19 OSS quality assessment model papers were selected. To select these models we have developed assessment criteria to evaluate the quality of the existing studies. Quality assessment models are classified into five categories based on the quality characteristics they possess namely: single-attribute, rounded category, community-only attribute, non-community attribute as well as the non-quality in use models. Our study reflects that software selection based on hierarchical structures is found to be the most popular selection method in the existing OSS quality assessment models. Furthermore, we found that majority (47%) of the existing models do not specify any domain of application. In conclusion, our study will be a valuable contribution to the community and helps the quality assessment model developers in formulating newer models and also to the practitioners (software evaluators) in selecting suitable OSS in the midst of alternatives.

Forensic mental health assessment in France: recommendations for quality improvement.

PubMed

Combalbert, Nicolas; Andronikof, Anne; Armand, Marine; Robin, Cécile; Bazex, Hélène

2014-01-01

The quality of forensic mental health assessment has been a growing concern in various countries on both sides of the Atlantic, but the legal systems are not always comparable and some aspects of forensic assessment are specific to a given country. This paper describes the legal context of forensic psychological assessment in France (i.e. pre-trial investigation phase entrusted to a judge, with mental health assessment performed by preselected professionals called "experts" in French), its advantages and its pitfalls. Forensic psychiatric or psychological assessment is often an essential and decisive element in criminal cases, but since a judiciary scandal which was made public in 2005 (the Outreau case) there has been increasing criticism from the public and the legal profession regarding the reliability of clinical conclusions. Several academic studies and a parliamentary report have highlighted various faulty aspects in both the judiciary process and the mental health assessments. The heterogeneity of expert practices in France appears to be mainly related to a lack of consensus on several core notions such as mental health diagnosis or assessment methods, poor working conditions, lack of specialized training, and insufficient familiarity with the Code of Ethics. In this article we describe and analyze the French practice of forensic psychologists and psychiatrists in criminal cases and propose steps that could be taken to improve its quality, such as setting up specialized training courses, enforcing the Code of Ethics for psychologists, and calling for consensus on diagnostic and assessment methods. Copyright © 2014 Elsevier Ltd. All rights reserved.

42 CFR 460.140 - Additional quality assessment activities.

Code of Federal Regulations, 2011 CFR

2011-10-01

... SERVICES (CONTINUED) PROGRAMS OF ALL-INCLUSIVE CARE FOR THE ELDERLY (PACE) PROGRAMS OF ALL-INCLUSIVE CARE FOR THE ELDERLY (PACE) Quality Assessment and Performance Improvement § 460.140 Additional quality...

EPA National Quality System Contacts

EPA Pesticide Factsheets

Web links and contacts for the individual quality systems developed in support of the EPA Quality System by each EPA Regional Office, National Program Office and ORD National Research Laboratory and Center.

Water Quality Assessment using Satellite Remote Sensing

NASA Astrophysics Data System (ADS)

Haque, Saad Ul

2016-07-01

The two main global issues related to water are its declining quality and quantity. Population growth, industrialization, increase in agriculture land and urbanization are the main causes upon which the inland water bodies are confronted with the increasing water demand. The quality of surface water has also been degraded in many countries over the past few decades due to the inputs of nutrients and sediments especially in the lakes and reservoirs. Since water is essential for not only meeting the human needs but also to maintain natural ecosystem health and integrity, there are efforts worldwide to assess and restore quality of surface waters. Remote sensing techniques provide a tool for continuous water quality information in order to identify and minimize sources of pollutants that are harmful for human and aquatic life. The proposed methodology is focused on assessing quality of water at selected lakes in Pakistan (Sindh); namely, HUBDAM, KEENJHAR LAKE, HALEEJI and HADEERO. These lakes are drinking water sources for several major cities of Pakistan including Karachi. Satellite imagery of Landsat 7 (ETM+) is used to identify the variation in water quality of these lakes in terms of their optical properties. All bands of Landsat 7 (ETM+) image are analyzed to select only those that may be correlated with some water quality parameters (e.g. suspended solids, chlorophyll a). The Optimum Index Factor (OIF) developed by Chavez et al. (1982) is used for selection of the optimum combination of bands. The OIF is calculated by dividing the sum of standard deviations of any three bands with the sum of their respective correlation coefficients (absolute values). It is assumed that the band with the higher standard deviation contains the higher amount of 'information' than other bands. Therefore, OIF values are ranked and three bands with the highest OIF are selected for the visual interpretation. A color composite image is created using these three bands. The water quality

Higher Education Quality Assessment in China: An Impact Study

ERIC Educational Resources Information Center

Liu, Shuiyun

2015-01-01

This research analyses an external higher education quality assessment scheme in China, namely, the Quality Assessment of Undergraduate Education (QAUE) scheme. Case studies were conducted in three Chinese universities with different statuses. Analysis shows that the evaluated institutions responded to the external requirements of the QAUE…

A CIS (Clinical Information System) Quality Evaluation Tool for Nursing Care Services

ERIC Educational Resources Information Center

Lee, Seon Ah

2010-01-01

The purpose of this study was to develop a tool to evaluate the quality of a clinical information system (CIS) conceived by nurses and conduct a pilot test with the developed tool as an initial assessment. CIS quality is required for successful implementation in information technology (IT) environments. The study started with the realization that…

Assessing Personal Qualities in Medical School Admissions.

ERIC Educational Resources Information Center

Albanese, Mark A.; Snow, Mikel H.; Skochelak, Susan E.; Huggett, Kathryn N.; Farrell, Philip M.

2003-01-01

Analyzes the challenges to using academic measures (MCAT scores and GPAs) as thresholds for medical school admissions and, for applicants exceeding the threshold, using personal qualities for admission decisions; reviews the literature on using the medical school interview and other admission data to assess personal qualities of applicants;…

Portable Imagery Quality Assessment Test Field for Uav Sensors

NASA Astrophysics Data System (ADS)

Dąbrowski, R.; Jenerowicz, A.

2015-08-01

Nowadays the imagery data acquired from UAV sensors are the main source of all data used in various remote sensing applications, photogrammetry projects and in imagery intelligence (IMINT) as well as in other tasks as decision support. Therefore quality assessment of such imagery is an important task. The research team from Military University of Technology, Faculty of Civil Engineering and Geodesy, Geodesy Institute, Department of Remote Sensing and Photogrammetry has designed and prepared special test field- The Portable Imagery Quality Assessment Test Field (PIQuAT) that provides quality assessment in field conditions of images obtained with sensors mounted on UAVs. The PIQuAT consists of 6 individual segments, when combined allow for determine radiometric, spectral and spatial resolution of images acquired from UAVs. All segments of the PIQuAT can be used together in various configurations or independently. All elements of The Portable Imagery Quality Assessment Test Field were tested in laboratory conditions in terms of their radiometry and spectral reflectance characteristics.

A dynamic quality assessment tool for laparoscopic hysterectomy to measure surgical outcomes.