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Добірка наукової літератури з теми "Data quality indicators"

Автор: Grafiati

Опубліковано: 15 березня 2025

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Статті в журналах з теми "Data quality indicators"

Matute, Jorge, and A. P. Gupta. "Data Quality and Indicators." American Journal of Agricultural and Biological Sciences 2, no. 1 (January 1, 2007): 23–30. http://dx.doi.org/10.3844/ajabssp.2007.23.30.

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Johnson, Barry L., T. Damstra, Chris Derosa, C. Elmer, and M. Gilbert. "Workshop on Toxicological Data Quality Indicators." Toxicology and Industrial Health 9, no. 4 (July 1993): 577–604. http://dx.doi.org/10.1177/074823379300900402.

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Iseni, Jeton, and Olaf Jacob. "I33 Data quality indicators for huntington’s disease observational studies; data quality indicators framework – an explorative study." Journal of Neurology, Neurosurgery & Psychiatry 87, Suppl 1 (September 2016): A70.2—A70. http://dx.doi.org/10.1136/jnnp-2016-314597.198.

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Weiss, Manfred S. "Global indicators of X-ray data quality." Journal of Applied Crystallography 34, no. 2 (April 1, 2001): 130–35. http://dx.doi.org/10.1107/s0021889800018227.

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Global indicators of the quality of diffraction data are presented and discussed, and are evaluated in terms of their performance with respect to various tasks. Based on the results obtained, it is suggested that some of the conventional indicators still in use in the crystallographic community should be abandoned, such as the nominal resolutiondminor the mergingRfactorRmerge, and replaced by more objective and more meaningful numbers, such as the effective optical resolutiondeff,optand the redundancy-independent mergingRfactorRr.i.m.. Furthermore, it is recommended that the precision-indicating mergingRfactorRp.i.m.should be reported with every diffraction data set published, because it describes the precision of the averaged measurements, which are the quantities normally used in crystallography as observables.

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Cadarette, S. M., S. B. Jaglal, L. Raman-Wilms, D. E. Beaton, and J. M. Paterson. "Osteoporosis quality indicators using healthcare utilization data." Osteoporosis International 22, no. 5 (June 25, 2010): 1335–42. http://dx.doi.org/10.1007/s00198-010-1329-8.

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Weiss, M. S., and R. Hilgenfeld. "Global Indicators of X-ray Data Quality." Acta Crystallographica Section A Foundations of Crystallography 56, s1 (August 25, 2000): s105. http://dx.doi.org/10.1107/s0108767300022789.

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Pulido Moncada, Mansonia, Donald Gabriels, and Wim M. Cornelis. "Data-driven analysis of soil quality indicators using limited data." Geoderma 235-236 (December 2014): 271–78. http://dx.doi.org/10.1016/j.geoderma.2014.07.014.

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Pickering, Ashley E., Petrus Malherbe, Joan Nambuba, Corey B. Bills, Emilie Calvello Hynes, and Brian Rice. "Clinical emergency care quality indicators in Africa: a scoping review and data summary." BMJ Open 13, no. 5 (May 2023): e069494. http://dx.doi.org/10.1136/bmjopen-2022-069494.

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ObjectivesEmergency care services are rapidly expanding in Africa; however, development must focus on quality. The African Federation of Emergency Medicine consensus conference (AFEM-CC)-based quality indicators were published in 2018. This study sought to increase knowledge of quality through identifying all publications from Africa containing data relevant to the AFEM-CC process clinical and outcome quality indicators.DesignWe conducted searches for general quality of emergency care in Africa and for each of 28 AFEM-CC process clinical and five outcome clinical quality indicators individually in the medical and grey literature.Data sourcesPubMed (1964—2 January 2022), Embase (1947—2 January 2022) and CINAHL (1982—3 January 2022) and various forms of grey literature were queried.Eligibility criteriaStudies published in English, addressing the African emergency care population as a whole or large subsegment of this population (eg, trauma, paediatrics), and matching AFEM-CC process quality indicator parameters exactly were included. Studies with similar, but not exact match, data were collected separately as ‘AFEM-CC quality indicators near match’.Data extraction and synthesisDocument screening was done in duplicate by two authors, using Covidence, and conflicts were adjudicated by a third. Simple descriptive statistics were calculated.ResultsOne thousand three hundred and fourteen documents were reviewed, 314 in full text. 41 studies met a priori criteria and were included, yielding 59 unique quality indicator data points. Documentation and assessment quality indicators accounted for 64% of data points identified, clinical care for 25% and outcomes for 10%. An additional 53 ‘AFEM-CC quality indicators near match’ publications were identified (38 new publications and 15 previously identified studies that contained additional ‘near match’ data), yielding 87 data points.ConclusionsData relevant to African emergency care facility-based quality indicators are highly limited. Future publications on emergency care in Africa should be aware of, and conform with, AFEM-CC quality indicators to strengthen understanding of quality.

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Kolozsvári, László Róbert, and Imre Rurik. "Quality improvement in primary care. Financial incentives related to quality indicators in Europe." Orvosi Hetilap 154, no. 28 (July 2013): 1096–101. http://dx.doi.org/10.1556/oh.2013.29631.

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Quality improvement in primary care has been an important issue worldwide for decades. Quality indicators are increasingly used quantitative tools for quality measurement. One of the possible motivational methods for doctors to provide better medical care is the implementation of financial incentives, however, there is no sufficient evidence to support or contradict their effect in quality improvement. Quality indicators and financial incentives are used in the primary care in more and more European countries. The authors provide a brief update on the primary care quality indicator systems of the United Kingdom, Hungary and other European countries, where financial incentives and quality indicators were introduced. There are eight countries where quality indicators linked to financial incentives are used which can influence the finances/salary of family physicians with a bonus of 1–25%. Reliable data are essential for quality indicators, although such data are lacking in primary care of most countries. Further, improvement of indicator systems should be based on broad professional consensus. Orv. Hetil., 2013, 154, 1096–1101.

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Schnelle, John F., Mary P. Cadogan, June Yoshii, Nahla R. Al-Samarrai, Dan Osterweil, Barbara M. Bates-Jensen, and Sandra F. Simmons. "The Minimum Data Set Urinary Incontinence Quality Indicators." Medical Care 41, no. 8 (August 2003): 909–22. http://dx.doi.org/10.1097/00005650-200308000-00005.

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Дисертації з теми "Data quality indicators"

Tiano, Donato. "Learning models on healthcare data with quality indicators." Electronic Thesis or Diss., Lyon 1, 2022. http://www.theses.fr/2022LYO10182.

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Les séries temporelles sont des collections de données obtenues par des mesures dans le temps. Cette données vise à fournir des éléments de réflexion pour l'extraction d'événements et à les représenter dans une configuration compréhensible pour une utilisation ultérieure. L'ensemble du processus de découverte et d'extraction de modèles à partir de l'ensemble de données s'effectue avec plusieurs techniques d'extraction, notamment l'apprentissage automatique, les statistiques et les clusters. Ce domaine est ensuite divisé par le nombre de sources adoptées pour surveiller un phénomène. Les séries temporelles univariées lorsque la source de données est unique, et les séries temporelles multivariées lorsque la source de données est multiple. La série chronologique n'est pas une structure simple. Chaque observation de la série a une relation forte avec les autres observations. Cette interrelation est la caractéristique principale des séries temporelles, et toute opération d'extraction de séries temporelles doit y faire face. La solution adoptée pour gérer l'interrelation est liée aux opérations d'extraction. Le principal problème de ces techniques est de ne pas adopter d'opération de prétraitement sur les séries temporelles. Les séries temporelles brutes comportent de nombreux effets indésirables, tels que des points bruyants ou l'énorme espace mémoire requis pour les longues séries. Nous proposons de nouvelles techniques d'exploration de données basées sur l'adoption des caractéristiques plus représentatives des séries temporelles pour obtenir de nouveaux modèles à partir des données. L'adoption des caractéristiques a un impact profond sur la scalabilité des systèmes. En effet, l'extraction d'une caractéristique de la série temporelle permet de réduire une série entière en une seule valeur. Par conséquent, cela permet d'améliorer la gestion des séries temporelles, en réduisant la complexité des solutions en termes de temps et d'espace. FeatTS propose une méthode de clustering pour les séries temporelles univariées qui extrait les caractéristiques les plus représentatives de la série. FeatTS vise à adopter les particularités en les convertissant en réseaux de graphes pour extraire les interrelations entre les signaux. Une matrice de cooccurrence fusionne toutes les communautés détectées. L'intuition est que si deux séries temporelles sont similaires, elles appartiennent souvent à la même communauté, et la matrice de cooccurrence permet de le révéler. Dans Time2Feat, nous créons un nouveau clustering de séries temporelles multivariées. Time2Feat propose deux extractions différentes pour améliorer la qualité des caractéristiques. Le premier type d'extraction est appelé extraction de caractéristiques intra-signal et permet d'obtenir des caractéristiques à partir de chaque signal de la série temporelle multivariée. Inter-Signal Features Extraction permet d'obtenir des caractéristiques en considérant des couples de signaux appartenant à la même série temporelle multivariée. Les deux méthodes fournissent des caractéristiques interprétables, ce qui rend possible une analyse ultérieure. L'ensemble du processus de clustering des séries temporelles est plus léger, ce qui réduit le temps nécessaire pour obtenir le cluster final. Les deux solutions représentent l'état de l'art dans leur domaine. Dans AnomalyFeat, nous proposons un algorithme pour révéler des anomalies à partir de séries temporelles univariées. La caractéristique de cet algorithme est la capacité de travailler parmi des séries temporelles en ligne, c'est-à-dire que chaque valeur de la série est obtenue en streaming. Dans la continuité des solutions précédentes, nous adoptons les fonctionnalités de révélation des anomalies dans les séries. Avec AnomalyFeat, nous unifions les deux algorithmes les plus populaires pour la détection des anomalies : le clustering et le réseau neuronal récurrent. Nous cherchons à découvrir la zone de densité du nouveau point obtenu avec le clustering
Time series are collections of data obtained through measurements over time. The purpose of this data is to provide food for thought for event extraction and to represent them in an understandable pattern for later use. The whole process of discovering and extracting patterns from the dataset is carried out with several extraction techniques, including machine learning, statistics, and clustering. This domain is then divided by the number of sources adopted to monitor a phenomenon. Univariate time series when the data source is single and multivariate time series when the data source is multiple. The time series is not a simple structure. Each observation in the series has a strong relationship with the other observations. This interrelationship is the main characteristic of time series, and any time series extraction operation has to deal with it. The solution adopted to manage the interrelationship is related to the extraction operations. The main problem with these techniques is that they do not adopt any pre-processing operation on the time series. Raw time series have many undesirable effects, such as noisy points or the huge memory space required for long series. We propose new data mining techniques based on the adoption of the most representative features of time series to obtain new models from the data. The adoption of features has a profound impact on the scalability of systems. Indeed, the extraction of a feature from the time series allows for the reduction of an entire series to a single value. Therefore, it allows for improving the management of time series, reducing the complexity of solutions in terms of time and space. FeatTS proposes a clustering method for univariate time series that extracts the most representative features of the series. FeatTS aims to adopt the features by converting them into graph networks to extract interrelationships between signals. A co-occurrence matrix merges all detected communities. The intuition is that if two time series are similar, they often belong to the same community, and the co-occurrence matrix reveals this. In Time2Feat, we create a new multivariate time series clustering. Time2Feat offers two different extractions to improve the quality of the features. The first type of extraction is called Intra-Signal Features Extraction and allows to obtain of features from each signal of the multivariate time series. Inter-Signal Features Extraction is used to obtain features by considering pairs of signals belonging to the same multivariate time series. Both methods provide interpretable features, which makes further analysis possible. The whole time series clustering process is lighter, which reduces the time needed to obtain the final cluster. Both solutions represent the state of the art in their field. In AnomalyFeat, we propose an algorithm to reveal anomalies from univariate time series. The characteristic of this algorithm is the ability to work among online time series, i.e. each value of the series is obtained in streaming. In the continuity of previous solutions, we adopt the functionality of revealing anomalies in the series. With AnomalyFeat, we unify the two most popular algorithms for anomaly detection: clustering and recurrent neural network. We seek to discover the density area of the new point obtained with clustering

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Lai, Yuk-lin. "Analysis of incomplete survey data with application to the construction of social indicators of Hong Kong /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B19929523.

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Ntshuntshe-Matshaya, Pateka Patricia. "Investigating the relevance of quality measurement indicators for South African higher education libraries." University of the Western Cape, 2021. http://hdl.handle.net/11394/8337.

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Philosophiae Doctor - PhD
This study investigates the relevance of quality measurement indicators at higher education libraries for faculty academics, librarians, and students. The study followed a mixed-method design with a mixture of quantitative and qualitative data collection. Faculty academics, librarians and students ranked the existing quality measurement indicators for South African higher education libraries. The findings revealed that for library quality measures to meet the needs of faculty academics, librarians, and students, the resources must be accessible both physically and virtually, and staff should be accountable and willing to offer services responsive to the users' needs and expectations of a safe, secure, and comfortable library space, be it physical or virtual. The qualitative data highlighted the importance of adequate resources and the adoption of new developments as measures for quality. Quality measurement indicators must include elements such as adequate funding; relevant resources aligned with teaching and learning programmes; programmes that are integrated into teaching plans; effective supplier collaboration with respect to the process of acquiring relevant learning materials; effective student training; communication of the value of library services and alignment with the student learning outcomes; research support in a digital environment with e-tools and website navigability; research data management; and open access, which is a prominent role of the library. Based on the data, there was a quality measure (process) that was commendable even though it did not form part of the existing quality measures nor a service whose relevance was assessed. The separation of undergraduate and postgraduate learning spaces was amongst those services that ranked quite high from the students' responses (qualitative data). Even though there were differences emphasized on each indicator by either faculty academics or students, there were also discrepancies in the interpretation of what each quality indicator means to each study population group. As the study of this nature has recommendations and gaps identified in terms of research findings, it is quite important to record that there was a series of gaps that were identified in terms of library expectations and perceptions. These gaps were suggested as part of further research that must be conducted to fill the void in terms of library users’ voices in the development of higher education library measurement indicators.

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Rojas-Candio, Piero, Arturo Villantoy-Pasapera, Jimmy Armas-Aguirre, and Santiago Aguirre-Mayorga. "Evaluation Method of Variables and Indicators for Surgery Block Process Using Process Mining and Data Visualization." Repositorio Academico - UPC, 2021. http://hdl.handle.net/10757/653799.

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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
In this paper, we proposed a method that allows us to formulate and evaluate process mining indicators through questions related to the process traceability, and to bring about a clear understanding of the process variables through data visualization techniques. This proposal identifies bottlenecks and violations of policies that arise due to the difficulty of carrying out measurements and analysis for the improvement of process quality assurance and process transformation. The proposal validation was carried out in a health clinic in Lima (Peru) with data obtained from an information system that supports the surgery block process. Finally, the results contribute to the optimization of decision-making by the medical staff involved in the surgery block process.
Revisión por pares

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Hackl, Peter, and Michaela Denk. "Data Integration: Techniques and Evaluation." Austrian Statistical Society, 2004. http://epub.wu.ac.at/5631/1/435%2D1317%2D1%2DSM.pdf.

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Within the DIECOFIS framework, ec3, the Division of Business Statistics from the Vienna University of Economics and Business Administration and ISTAT worked together to find methods to create a comprehensive database of enterprise data required for taxation microsimulations via integration of existing disparate enterprise data sources. This paper provides an overview of the broad spectrum of investigated methodology (including exact and statistical matching as well as imputation) and related statistical quality indicators, and emphasises the relevance of data integration, especially for official statistics, as a means of using available information more efficiently and improving the quality of a statistical agency's products. Finally, an outlook on an empirical study comparing different exact matching procedures in the maintenance of Statistics Austria's Business Register is presented.

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Miranda, Inês Brás de Moura Duarte. "KPIs as a measure for quality in master data." Master's thesis, Instituto Superior de Economia e Gestão, 2017. http://hdl.handle.net/10400.5/14590.

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Mestrado em Gestão de Sistemas de Informação
Numa época em que as empresas estão a dar mais e mais importância à implementação de sistemas de informação para suportar o seu negócio, o termo Master Data está a tornar-se mais usual uma vez que concerne a informação mais importante de uma empresa (p.e. dados de clientes e colaboradores). Manter níveis elevados de qualidade para estes dados é um desafio que precisa de ser medido através de indicadores de performance (p.e. Key Performance Indicators). O presente estudo tem o objetivo de investigar a definição, cálculo, divulgação e uso de Key Performance Indicators numa empresa multinacional. Para este propósito, uma formação de 6 meses foi providenciada pela empresa para explicar como calcular estes valores e como obter toda a informação necessária relativamente a estes indicadores dentro do departamento de Recursos Humanos. A análise mostrou que, apesar dos KPIs existentes estarem bem definidos e serem bem calculados, não são suficientes para incluir todas as classes de master data e são também muito abrangentes, tornando quase impossível que seja encontrada a raíz do problema dos RH na empresa.
In a time where companies are giving more and more importance to the implementation of information systems to support their businesses, the term Master Data is becoming more usual since it concerns the core information of a company (e.g. customer and employee data). Maintaining the highest quality for this data is nevertheless a challenge that needs to be measured through performance measures (for example: Key Performance Indicators). The present case study has the purpose of investigating the definition, calculation, divulgation and use of Key Performance Indicators within a multinational company. To this end, a training of 6 months was provided by the company to teach participants how to calculate these values and also how to obtain all the necessary information regarding these indicators within the Human Resources department. The analysis showed that, even though the existing KPIs are well defined and calculated, they are not enough to include all existing master data classes and are also too wide-ranging, making it almost impossible to find the root of the HR problems within the company.
info:eu-repo/semantics/publishedVersion

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Breuler, Lindsay Mildred. "Developing Ohio 4-H Horse Project Quality Indicators through the Analysis of Enrollment Data and Volunteer Leader Discourse: A Mixed Model Approach." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429549736.

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Campbell, William W. III. "A COMPARISON OF QUALITY INDICATORS BETWEEN MEDICARE ACCOUNTABLE CARE ORGANIZATIONS AND HEALTH MAINTENANCE ORGANIZATIONS USING PUBLICLY AVAILABLE DATA." VCU Scholars Compass, 2018. https://scholarscompass.vcu.edu/etd/5284.

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The purpose of this study is to explore differences in quality between Medicare Accountable Care Organizations (ACO) and Health Maintenance Organizations (HMO). Three outcomes measures reported by these plans use different methodologies but possess enough alignment to permit comparison: percent of diabetic patients with last HbA1c > 9.0%, colon cancer screening rate and ER visits per 1,000. These outcomes are the dependent variables (DV). A secondary purpose is to explore differences in quality based on the size of the beneficiary population served, using the same measures. As the Medicare program faces threats to its solvency in coming decades, with 10,000 baby boomers becoming eligible every day, and the ongoing national conversation about healthcare more generally, approaches to Value-Based Purchasing (VBP) are becoming more common. Organizations seeking to identify the types of VBP arrangements in which they should enter have precious little information on the comparative performance of VBP approaches relative to outcomes measures. Different structures create different incentives through the plan design and risk/reward. The convergence or dissipation of the plan incentives at the level of the provider, particularly in primary care, may be a source of variance. This study is retrospective, non-experimental, and uses publicly available data on the performance of Medicare ACO and HMO plans in calendar year 2015, for the identified measures. Using the Donabedian Structure-Process-Outcome framework, this study explores the impact of structure by type of plan and size of population served, relative to the outcomes. Race, average Hierarchical Condition Category (HCC) risk score and duration of operations are control variables. The analysis uses multiple hierarchical regression to better understand the relationship between the independent variables (IV) and DVs, after the impact of the control variables (CV). After controls, the IVs did offer some explanation of variation in outcomes. The ACO plans fared better on HbA1c control, while HMO plans had fewer ER visits per 1,000. No discernable difference existed between the HMO and ACO plans with regard to colon cancer screening rate. Serving larger populations led to better performance on all three measures. In general performance was worse on each measure in both models when the percent of not-White patients or average HCC risk score increased. A longer duration of operations also associated to better performance on the outcome measures.

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Bentley, Tabitha Anne. "Performance Improvement Data and Staff Responsibility." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/3485.

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Improving the role the nurse plays in health care delivery should be embodied in the performance improvement initiatives to successfully improve the quality of care that is delivered. The purpose of this evidence-based practice project was to collect performance improvement data and present it to staff who, in turn, used the information to improve practice and influence patient safety outcomes. The practice-focused question addressed what would occur if a tool that allowed frequent data trending was used to measure effectiveness of care and thereby influence key outcome measures. Duffy's quality caring model provided a framework for the study to support the need for the development of a dashboard for staff and to ensure that staff were informed as they developed interventions to improve patient outcomes. Publicly available data published by the Centers for Medicare/ Medicaid (CMS) for the Quality Star Report were explored to inform the project. Workgroups, comprised of volunteers from leadership and staff providing care at the bedside, were formed to implement practice changes based on the dashboard reports. By bringing the data to the attention of nurses within the organization, improvements were made in the overall score for safety of care from below national average (25th percentile of the reported 3,647 hospitals across the nation) to the same as national average (47th percentile) as reported by CMS. Through staff involvement, social change occurred as strategies were hardwired to improve categories of the Quality Star Report and ultimately patient care. The project showed that quality improvement tools can assist in empowering staff to understand the data needed to implement process improvement strategies.

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Elefante, Elena. "Integrating Patient Reported Outcomes, clinical data and quality indicators to physician driven data in clinical management of chronic rheumatic diseases: the paradigm of Systemic Lupus Erythematosus (SLE)." Doctoral thesis, Università di Siena, 2021. http://hdl.handle.net/11365/1160790.

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A discordance exists between patients and physicians in the assessment of Systemic Lupus Erythematosus (SLE). A more patient-oriented research to address the multifaceted dimensions of the disease burden is warranted. The aim of this study was to investigate patients’ needs and expectations about their medical care, with the objective of integrating patient-reported data to the traditional physician evaluation towards a new shared strategy for the monitoring of SLE. The first step of the project was a systematic literature review of existing clinical and non-clinical indicators for the management of SLE and of currently available SLE-dedicated IT tools (Apps) designed to involve the patient in the gathering of clinical and quality of life data about their health. On the basis of the results of the literature review, ad-hoc on-line surveys have been designed, targeting European experts in the field and SLE patients. The aim was to investigate both the real use of such indicators in clinical practice and to identify needs and expectations experienced by doctors and patients in management of the disease. Finally, the survey results have been discussed in dedicated focus groups of patients, clinicians but also general practitioners, nurses and one caregiver. According to the project results, the key elements for the development of a new paradigm for SLE management should include: • MULTIDISCIPLINARITY and NETWORKING • PATIENT-PHYSICIAN COMMUNICATION • PATIENT’S EDUCATION • PATIENT’S EMPOWERMENT First of all, the ideal setting for the management of the disease seems to be represented by a dedicated “Lupus clinic”, where the patient can be in charge of a team of expert health care professionals. The networking with multi-disciplinary specialists should be encouraged. From both the patients’ and clinicians’ perspective emerged that the communication between the parts is often inadequate in terms of both contents and means. SLE patients declared that they have a real, shared hunger for information about the disease and, on the other hand, clinicians think that only an educated patient can be really empowered. Some instruments may be of help to make such an educational process to happen. Both clinicians and patients agreed on the fact that an ideal IT solution would be of benefit in the management of the disease. Self-management of simple tasks is important as one of the first steps towards patient’s engagement and empowerment. In conclusion, several unmet needs seem to be present in the management of SLE, both from the patient’s and the clinician’s point of view. In this setting, the results of the project pointed out a path to follow in the management of Lupus patients and lay the foundations for a new shared strategy for disease management in clinical practice which may serve as a prototype for other chronic diseases.

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Книги з теми "Data quality indicators"

Bank, World. The development data book: A guide to social and economic statistics : with a comprehensive data table. 3rd ed. Washington, D.C: World Bank, 1995.

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Association, American Nurses', ed. Nursing quality indicators: Guide for implementation. 2nd ed. Washington, D.C: American Nurses Association (600 Maryland Ave., S.W., Washington D.C. 20024-2571), 1999.

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United Nations Research Institute for Social Development., ed. Qualitative indicators and development data: Current concerns and priorities. Geneva, Switzerland: The Institute, 1991.

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Population Research Centre (Institute for Social and Economic Change). Assessing the quality of district data for improved planning and monitoring of development programmes. New Delhi: United Nations Population Fund, 2011.

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United States. Forest Service. Northern Research Station, ed. FIA national assessment of data quality for forest health indicators. Newtown Square, PA: U.S. Dept. of Agriculture, Forest Service, Northern Research Station, 2009.

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Stanton, Cynthia. DHS maternal mortality indicators: An assessment of data quality and implications for data use. Calverton: Macro International, 1997.

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Noureddine, Abderrahim, Hill Ken 1945-, and Macro International. Institute for Resource Development. Demographic and Health Surveys, eds. DHS maternal mortality indicators: An assessment of data quality and implications for data use. Calverton, Md: Macro International, Inc., 1997.

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Office, General Accounting. Vietnam economic data: Assessment of availability and quality : report to Congressional requesters. Washington, D.C. (P.O. Box 37050 Washington, D.C. 20013): The Office, 1999.

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Nezlek, John B. Community health & resource data guide 2000. [Richmond, Va: Dept. of Health, 2000.

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Commission, European, and Statistical Office of the European Communities., eds. Living conditions in Europe: Statistical pocketbook : data 1998-2002. 2nd ed. Luxembourg: Office for Official Publications of the European Communities, 2004.

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Частини книг з теми "Data quality indicators"

Kiatkajitmun, Pranungwad, Chanwit Chanton, Pairach Piboonrungroj, and Juggapong Natwichai. "Data Quality Assessment Framework and Economic Indicators." In Advances in Networked-based Information Systems, 97–105. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-40978-3_11.

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Kąkol, Krzysztof, Gražina Korvel, and Bożena Kostek. "Improving Objective Speech Quality Indicators in Noise Conditions." In Data Science: New Issues, Challenges and Applications, 199–218. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39250-5_11.

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Doran, John W., and Timothy B. Parkin. "Quantitative Indicators of Soil Quality: A Minimum Data Set." In SSSA Special Publications, 25–37. Madison, WI, USA: Soil Science Society of America, 2015. http://dx.doi.org/10.2136/sssaspecpub49.c2.

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Prabhakar, Deepak, Raquel Y. Qualls-Hampton, Rachael Jackson, and Kathryn M. Cardarelli. "Mental Health Indicator Parity: Integrating National, State, and Local Data." In Community Quality-of-Life Indicators: Best Cases IV, 81–109. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2243-1_4.

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López-Mesa, Belinda, Carlos Beltrán-Velamazán, Marta Gómez-Gil, Marta Monzón-Chavarrías, and Almudena Espinosa-Fernández. "New Approaches to Generate Data to Measure the Progress of Decarbonization of the Building Stock in Europe and Spain." In Digital Innovations in Architecture, Engineering and Construction, 317–46. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-51829-4_12.

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AbstractThe European Commission has initiated efforts to establish indicator frameworks for monitoring building renovation policies and the decarbonization progress of the building stock, to be developed by EU Member States. The chapter suggests that the use of emerging technologies can improve the quality and availability of data for this purpose, focusing on two specific technologies whose potential is explored for the case of Spain. These technologies are, on one hand, georeferencing and automated cross-referencing of existing data, and, on the other, the Digital Building Logbook (DBL). The results of the study show that georeferencing and automated cross-referencing applications include calculating solar potential and estimating energy production, consumption, and emissions using Urban Energy Models (UBEMs). The UBEM, applied to Spain, enables the collection of previously unavailable indicators, improving data availability and quality mainly in the subjects of ‘An overview of the general characteristics of the national building stock’ and ‘An overview of the energy characteristics of the national building stock’. Examining the feasibility of collecting indicators through the DBL indicates that close to 69% of all necessary indicators for monitoring building renovation policies can be obtained. However, challenges in realizing DBL's full potential involve undefined tool models, owner awareness, funding uncertainties, regulatory alignment, and technical hurdles for large-scale implementation.

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Wess, Raphael, Heiner Klock, Hans-Stefan Siller, and Gilbert Greefrath. "Test Quality." In International Perspectives on the Teaching and Learning of Mathematical Modelling, 77–84. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78071-5_4.

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AbstractGeneral standards in the form of quality criteria can be used in order to assess the quality of an instrument and/or to construct a high-quality test. Three main indicators, the so-called “core quality criteria,” have emerged: objectivity, reliability and validity (e.g. Bühner, 2011; Ebel & Frisbie, 1991; Linn, 2011; Miller, Linn & Grolund, 2009; Rost, 2004). These primary and selected secondary quality criteria (fairness and usability) are examined in more detail in the following using a data set of 349 pre-service teachers for secondary education at several German universities.

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Fattore, Marco, Filomena Maggino, and Emilio Colombo. "From Composite Indicators to Partial Orders: Evaluating Socio-Economic Phenomena Through Ordinal Data." In Quality of life in Italy, 41–68. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-3898-0_4.

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Gómez-Gil, Marta, Markel Arbulu, Rufino J. Hernández-Minguillón, and Belinda López-Mesa. "On the Availability and Quality of Data in Spain for the Development of Indicators to Measure Building Renovation Policies Effectiveness and the Decarbonization of the Building Stock." In Digital Innovations in Architecture, Engineering and Construction, 291–316. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-51829-4_11.

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AbstractIt is crucial to achieve long-term decarbonization goals in the building sector by relying building renovation policies on well-founded evidence based on indicators regarding the current state of the building stock, decarbonization requirements and potential, feasibility of solutions, possible failures, risks, and other relevant factors. To develop such indicators, it is necessary to have data of good quality. This chapter analyzes the availability of data in Spain and its quality to develop indicators to assess the effectiveness of building renovation policies and the progress of decarbonization. With this objective, the developability of a set of indicators was analyzed regarding their availability, processing method and data processability, and the data source quality was assessed regarding data processability, georeferencing, and data update frequency. The results show pronounced challenges related to data availability in indicators concerning deep renovation of buildings and policies for mobilizing investments into building renovation. The diversity in data processing methods, with 42% indicators directly processable and 58% requiring indirect methods, underscores the complexity in obtaining and manipulating data. Additionally, the limited georeferencing (9%) and insufficient update frequencies (54% with update frequencies of more than five years) highlight areas for improvement.

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Ridzi, Frank. "Goldilocks Data-Connecting Community Indicators to Program Evaluation and Everything in Between." In Community Quality-of-Life and Well-Being, 15–35. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48182-7_2.

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Ol’ha, Bashyns’ka, Kazymyr Volodymyr, Nesterenko Sergii, and Olga Prila. "Dynamic Assessment of the UAS Quality Indicators by Technical Diagnostics Data." In Advances in Intelligent Systems and Computing, 154–63. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25741-5_16.

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Тези доповідей конференцій з теми "Data quality indicators"

Brook, Anna, and Eyal Ben Dor. "Spectral quality indicators for hyperspectral data." In 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2011. http://dx.doi.org/10.1109/whispers.2011.6080934.

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Marev, Milen, Ernesto Compatangelo, and Wamberto Vasconcelos. "Intrinsic Indicators for Numerical Data Quality." In 5th International Conference on Internet of Things, Big Data and Security. SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0009411403410348.

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"Data Quality Sensitivity Analysis on Aggregate Indicators." In International Conference on Data Technologies and Applications. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0004040300970108.

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Wenlu Yang, Alzennyr Da Silva, and Marie-Luce Picard. "Computing data quality indicators on Big Data streams using a CEP." In 2015 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM). IEEE, 2015. http://dx.doi.org/10.1109/iwcim.2015.7347061.

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Vlčková, Miroslava. "Dependency of Accounting Data Quality on Selected Financial Indicators." In Hradec Economic Days 2018, edited by Petra Maresova, Pavel Jedlicka, and Ivan Soukal. University of Hradec Kralove, 2018. http://dx.doi.org/10.36689/uhk/hed/2018-02-043.

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Wimalasena, NN, A. Chang-Richards, KIK Wang, and K. Dirks. "Housing quality indicators: A systematic review." In 10th World Construction Symposium. Building Economics and Management Research Unit (BEMRU), University of Moratuwa, 2022. http://dx.doi.org/10.31705/wcs.2022.43.

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A wealth of studies has demonstrated the significance of adequate or quality housing on occupant’s productivity, performance, comfort and health. However, insufficient data on the conditions of existing housing stocks and a lack of consensus measures of housing quality hinder housing developments from achieving residential needs. Due to the lack of quality indicators, the quality of housing is not often assessed. Therefore, this paper presents a systematic review using the PRISMA protocol to provide an overview of the housing quality indicators that can be employed to evaluate housing quality. The review consisted of 62 studies investigating 66 housing quality indicators. Each fall into one of eight categories, namely 1) dwelling unit architectural design characteristics and features; 2) user comfort; 3) housing site location and neighbourhood; 4) building services; 5) construction quality and stability; 6) economic aspect; 7) building maintenance; or 8) sustainability. The results show that investigating housing quality indicators is a growing research field where adequate ventilation was the most critical indicator of a quality home. Since the identified indicators are essential determinants of a quality house, architects and engineers can integrate these features at the design and construction stages in upgrading the conditions of dwellings while satisfying occupant’s comfort and quality of life. Further, governments can develop housing quality standards or regulations using these indicators to improve the quality of new housing constructions.

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Bedzsula, Balint. "QUALITY IMPROVEMENT IN HIGHER EDUCATION BASED ON DATA AND INDICATORS." In 2nd International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM2015. Stef92 Technology, 2015. http://dx.doi.org/10.5593/sgemsocial2015/b12/s3.102.

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Lazzaris, Joana, André M. Carvalho, and Maria Sameiro Carvalho. "Towards Data-Driven, Sustainable Supply Chain Quality Management 5.0 Indicators." In 6th European International Conference on Industrial Engineering and Operations Management. Michigan, USA: IEOM Society International, 2023. http://dx.doi.org/10.46254/eu6.20230113.

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Jašková, Dana. "Development of Human Capital Quality Based on Quantitative Indicators." In 6th International Scientific Conference – EMAN 2022 – Economics and Management: How to Cope With Disrupted Times. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2022. http://dx.doi.org/10.31410/eman.2022.145.

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Human capital represents the knowledge, skills and characteristics of an individual that facilitate the creation of personal, social and economic well-being. Measuring, analyzing and subsequently developing human capital is a prerequisite for the region’s prosperity. Human capital is a set of human abilities and skills that has a direct impact on the potential of social activity. Measuring and monitoring human capital development is an important part of regional policy. This process is complex because human capital is a qualitative characteristic of man. The links, correlations and causal links between the different sets of human resources data are identified. The assessment of human capital levels must be based on many quantitative indicators. This paper evaluates the development of human capital in Slovakia using an aggregated, composite indicator. The composite indicator is constructed using selected weighted indicators. By applying more complex multidimensional statistical methods, the assessed indicators are aggregated into a composite indicator, and its development is then evaluated.

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Ronné, Jules, Laura Dubuis, and Thomas Robert. "Assessment of bicycle experimental objective handling quality indicators." In The Evolving Scholar - BMD 2023, 5th Edition. The Evolving Scholar - BMD 2023, 5th Edition, 2023. http://dx.doi.org/10.59490/6504c0e90df003ee2fc2a2e0.

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Understanding and mastering handling quality is a critical concern for bicycle designers, as it directly impacts safety, comfort, and performance. However, this aspect has received limited attention to date. Existing literature offers experimental handling quality indicators based on bicycle kinematics, but their validity has yet to be established. This study aims to assess the predictive power of these indicators using experimental data derived from subjective assessments of handling quality. These data, obtained from a protocol involving 20 participants and 2 bicycles, enabled testing 39 experimental indicators. The results indicate that certain vehicle kinematic quantities are indeed correlated with the perception of handling quality but with low predictive power. Indicators based on handlebar movement are the most effective in explaining the sensation of handling quality. These indicators perform particularly well at low speeds, where physical and cognitive workload are associated with the quantity of control actions on the handlebars.

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Звіти організацій з теми "Data quality indicators"

Westfall, James A. FIA national assessment of data quality for forest health indicators. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station, 2009. http://dx.doi.org/10.2737/nrs-gtr-53.

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Roux, Anne M., Jessica E. Rast, K. A. Anderson, and Paul T. Shattuck. National Autism Indicators Report: Vocational Rehab. A.J. Drexel Autism Institute, May 2016. http://dx.doi.org/10.17918/nairvocrehab2016.

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Employment is about more than simply earning a paycheck - it influences quality of life, independence, and wellness. Historically, employment outcomes for adults with autism are poor. The U.S. Vocational Rehabilitation system (VR) is designed to provide support to states for implementation of services to assist people with disabilities to prepare for, find, and keep employment. VR data allow us to examine some outcomes for those with autism compared to their peers.

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Vos, Rob. Educational Indicators: What's to Be Measured? Inter-American Development Bank, January 1996. http://dx.doi.org/10.18235/0011588.

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Currently, numerous strategies and new initiatives for improving quality of schooling at the primary and secondary levels are being considered and implemented, with strong support from multilateral agencies, including the World Bank and the IDB. These initiatives include increasing availability and quality of teaching materials, in-service training of teachers, improvement of teaching methods, supply of subsidized breakfast and lunches at school, etc. There is little dispute these are important and necessary interventions. However, the design, monitoring and evaluation of the cost-effectiveness of these programs and of the educational sector in general is hampered by persistent deficiencies in the quality and timely availability of educational statistics. The objective of the present paper is to provide a framework for the identification of relevant educational indicators. Which are relevant types of information depends on what one wishes to analyze for which policy need. Accordingly, the paper conceptualizes two typologies. The first identifies different types of operational educational indicators, distinguishing between input, access, output and outcome indicators to show that an appropriate information system requires to cover the whole process from supplying educational services, demand factors and accessibility, to results in terms of educational performance and externalities derived from enhanced human capital formation. The second typology distinguishes various types of policy-relevant analysis, such as the assessment of educational performance and needs, cost-effectiveness analysis of educational programs, impact evaluation and assessment of externalities. The informational needs in terms of indicators are specified for each type of policy analysis. The paper concludes with a specification of priority needs in data improvement.

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Asfaw, Etenesh, and Bakhrom Mirkasimov. Tracking Green Growth Indicators for Uzbekistan: A first stocktaking exercise-2023. TOSHKENT SHAHRIDAGI XALQARO VESTMINSTER UNIVERSITETI, April 2024. https://doi.org/10.70735/mulu8653.

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Uzbekistan is becoming more efficient in using water and energy resources. However, the pressure on natural capital still remains and the development of renewable energy sources is slow. The natural asset base of Uzbekistan's economy, including land and forest, needs more maintenance. The environmental dimensions of Uzbekistan’s population quality of life, including access to sewerage and solid waste collection systems are improving. At the same time, challenges remain in outdoor air pollution. Energy subsidies are still high and environmental expenditures are small. Tariffs for water and energy use do not represent the cost. Uzbekistan needs to tap into more economic opportunities for the transition to a green economy. Data on green growth indicators for Uzbekistan is fragmented and inconsistent. It will benefit if it becomes harmonised with international measurement methods and better data coordination.

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Hilgert, Marianne, and Miguel Székely. What's Behind the Inequality We Measure: An Investigation Using Latin American Data. Inter-American Development Bank, December 1999. http://dx.doi.org/10.18235/0010769.

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The use of income distribution indicators in the economics literature has increased considerably in recent years. This work relies on household surveys from 18 LAC countries to take a step back from the use of these indicators, and explore what's behind the numbers, and what information they convey. We find: a) that the way countries rank according to inequality measured in a conventional way is to a large extent an illusion created by differences in characteristics of the data and on the particular ways in which the data is treated; b) Our ideas about the effect of inequality on economic growth are also driven by quality and coverage differences in household surveys and by the way in which the data is treated; c) Standard household surveys in LAC are unable to capture the incomes of the richest sectors of society; so, the inequality we are able to measure is most likely a gross underestimation. Our main conclusion is that there is an important story behind each number. This story influences our judgement about how unequal countries are and about the relation between inequality and other development indicators, but it is seldom told or known. Perhaps other statistics commonly used in economics also have their own interesting story, and it might be worth trying to find out what it is.

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Rast, Jessica E., Kaitlin H. Koffer Miller, Julianna Rava, Jonas C. Ventimiglia, Sha Tao, Jennifer Bromberg, Jennifer L. Ames, Lisa A. Croen, Alice Kuo, and Lindsay L. Shea. National Autism Indicators Report: Health and the COVID-19 Pandemic: July 2023. A.J. Drexel Autism Institute, 2023. http://dx.doi.org/10.17918/covidnair2023.

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The COVID-19 pandemic changed how autistic people accessed services and engaged in their communities, ultimately impacting their quality of life. Access to appropriate services and accommodations help autistic individuals in maintaining employment, pursuing education, caring for their health, and establishing independence. Changes in access to services result in long-term consequences, which can be dire for autistic people. In an effort to improve policies and programs for autistic individuals, documentation of disruptions in accessing services during the COVID-19 pandemic informs better evidence-based practices for future public health emergencies. This report examines the impact of the COVID-19 pandemic on health and healthcare among autistic children and adults. To build a comprehensive picture, we included various data sources, including health care claims and administrative records. We explored the availability of services for autistic children based on caregiver report from the National Survey of Children’s Health (NSCH). To understand hospitalization covered by both private and public health insurance, we used national emergency hospitalization records (via the National Emergency Department Sample [NEDS]) and hospital admissions data (via the National Inpatient Sample [NIS]). Finally, we used patient medical records from Kaiser Permanente Northern California (KPNC) to look at service utilization among adult autistic patients from Northern California over the same period. These data sources cover various populations, some of which provide nationally representative pictures of autistic children and adults, others cover specific or regional populations but cover diverse populations in terms of income and race and ethnicity.

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Anilkumar, Rahul, Benjamin Melone, Michael Patsula, Christopher Tran, Christopher Wang, Kevin Dick, Hoda Khalil, and G. A. Wainer. Canadian jobs amid a pandemic : examining the relationship between professional industry and salary to regional key performance indicators. Department of Systems and Computer Engineering, Carleton University, June 2022. http://dx.doi.org/10.22215/dsce/220608.

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The COVID-19 pandemic has contributed to massive rates of unemployment and greater uncertainty in the job market. There is a growing need for data-driven tools and analyses to better inform the public on trends within the job market. In particular, obtaining a “snapshot” of available employment opportunities mid-pandemic promises insights to inform policy and support retraining programs. In this work, we combine data scraped from the Canadian Job Bank and Numbeo globally crowd-sourced repository to explore the relationship between job postings during a global pandemic and Key Performance Indicators (e.g. quality of life index, cost of living) for major cities across Canada. This analysis aims to help Canadians make informed career decisions, collect a “snapshot” of the Canadian employment opportunities amid a pandemic, and inform job seekers in identifying the correct fit between the desired lifestyle of a city and their career. We collected a new high-quality dataset of job postings from jobbank.gc.ca obtained with the use of ethical web scraping and performed exploratory data analysis on this dataset to identify job opportunity trends. When optimizing for average salary of job openings with quality of life, affordability, cost of living, and traffic indices, it was found that Edmonton, AB consistently scores higher than the mean, and is therefore an attractive place to move. Furthermore, we identified optimal provinces to relocate to with respect to individual skill levels. It was determined that Ajax, Marathon, and Chapleau, ON are each attractive cities for IT professionals, construction workers, and healthcare workers respectively when maximizing average salary. Finally, we publicly release our scraped dataset as a mid-pandemic snapshot of Canadian employment opportunities and present a public web application that provides an interactive visual interface that summarizes our findings for the general public and the broader research community.

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Weissinger, Rebecca, and Carolyn Hackbarth. Water quality in the Northern Colorado Plateau Network: Water years 2019?2022. National Park Service, 2024. http://dx.doi.org/10.36967/2304433.

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Water quality monitoring in National Park Service units of the Northern Colorado Plateau Network (NCPN) is made possible through partnerships between the National Park Service Inventory & Monitoring Division, individual park units, the U.S. Geological Survey, and the Utah Department of Environmental Quality. This report evaluates water quality data from site visits at 42 different locations within and around eight park units in Utah and Colorado from October 1, 2018 through September 30, 2022. Data are compared to state water quality standards for the purpose of providing information to park managers about potential water quality problems. Parks included for evaluation are Arches National Park (NP), Bryce Canyon NP, Canyonlands NP, Capitol Reef NP, Dinosaur National Monument (NM), Hovenweep NM, Timpanogos Cave NM, and Zion NP. Evaluation of water quality parameters relative to state water quality standards indicated that 21,644 (96.8%) of the 22,356 total designated beneficial-use evaluations completed for the period covered in this report met state water quality standards. The most common parameters that did not meet a standard include fecal indicator bacteria (Escherichia coli), water temperature, and total dissolved solids (TDS). While TDS can be an indicator of pollution, in NCPN parks, it mostly occurs downstream of rock outcrops that naturally increase TDS in streams. Phosphorus concentrations were often greater than acceptable thresholds but were rarely associated with indicators of impairment such as algal blooms, fish kills, or low dissolved oxygen. Sites monitored in Arches NP, Bryce Canyon NP, Capitol Reef NP, Dinosaur NM, Hovenweep NM, and Zion NP all had occurrences when fecal indicator bacteria concentrations were greater than associated state standards. State-coordinated plans to reduce waste contamination are in place for the North Fork Virgin River (Zion NP) and the Fremont River (Capitol Reef NP). The plans have resulted in a decrease in the number of chronic and acute standard violations at Zion. Elevated water temperatures occurred at sites in Canyonlands NP, Capitol Reef NP, and Zion NP. Water temperature is strongly correlated with air temperature in surface waters across the Colorado Plateau. Additional issues of management concern include low dissolved oxygen in Salt Wash at Wolfe Ranch (Arches NP) and Square Tower Spring (Hovenweep NM), as well as selenium in the Colorado River (Arches NP and Canyonlands NP). State-coordinated plans to reduce selenium concentrations in the Upper Colorado River basin are in place.

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Boix, Carles, Alícia Adserà, and J. Mark Payne. Are You Being Served?: Political Accountability and Quality of Government. Inter-American Development Bank, November 2000. http://dx.doi.org/10.18235/0010787.

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This paper explores, both formally and empirically, the political accountability mechanisms that lie behind the varying levels of public corruption and of effective governance taking place across nations. The first section develops a principal-agent model in which good governance is a function of the extent to which citizens can hold political officials accountable for their actions. Although policy-makers may have strong incentives to appropriate parts of the citizens' income, well-designed institutions (those increasing both informational flows and elite competitiveness) boost political accountability and reduce the space left for the appropriation of rents. The following sections of the paper test the model. The presence of democratic mechanisms of control and an increasingly informed electorate, measured through the frequency of newspaper readership, explain considerably well the distribution of corrupt practices and governmental ineffectiveness in three types of data sets: a large cross-section of countries in the late 1990s for which an extensive battery of governance indicators has been recently developed by Kaufmann et al. (1999a); a panel data set for the period 1980-95 and about 100 nations on corruption and bureaucratic quality based on experts' rankings; and corruption data for the cross-section of US states in the period 1977-95.

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Li, wanlin, jie Yun, siying He, ziqi Zhou, and ling He. Effect of different exercise therapies on fatigue in maintenance hemodialysis patients:A Bayesian Network Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2022. http://dx.doi.org/10.37766/inplasy2022.11.0144.

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Review question / Objective: Population: maintenance hemodialysis patients. Intervention: exercise therapy (resistance exercise； aerobic exercise； resistance combined aerobic exercise； muscle relaxation training； Baduanjin ). Comparison: simple routine nursing. Outcome: fatigue； sleep quality. Study design: randomized controlled trial. Eligibility criteria: Inclusion and exclusion criteria： RCT of study type exercise intervention in MHD patients' fatigue； Study subjects： MHD patients ≥18 years old, regardless of gender, nationality or race； The intervention measures were exercise therapy, including resistance exercise, aerobic exercise, resistance combined aerobic exercise, Baduanjin, muscle relaxation training, etc. The control group was conventional nursing measures or the comparison of the above exercise therapy； Outcome indicators： The primary outcome indicator was fatigue score, and the secondary outcome indicator was sleep quality score； Exclusion criteria： Literature using non-exercise intervention; Non-Chinese and English documents; Unable to obtain the full text or repeated publication of literature; The data cannot be extracted or the extraction is incomplete; There are serious defects in the design of the research experiment.

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