scholarly journals Assessment of the Nursing Quality Indicators for Reporting and Evaluation (NQuIRE) database using a data quality index

2020 ◽  
Vol 27 (5) ◽  
pp. 776-782 ◽  
Author(s):  
Shanoja Naik ◽  
Stephanie Voong ◽  
Megan Bamford ◽  
Kyle Smith ◽  
Angela Joyce ◽  
...  
Keyword(s):  
Case Report ◽  
Data Quality ◽  
Quality Indicators ◽  
Quality Index ◽  
Best Practice ◽  
Quality Framework ◽  
The Impact ◽  
Nursing Quality Indicators ◽  
Nursing Quality

Abstract A comprehensive data quality assessment is necessary to expand a nursing database that is designed for evaluating the impact of implementing Best Practice Guidelines (BPG) developed by the Registered Nurses’ Association of Ontario (RNAO). This case report presents a method to standardize data quality assessments of the Nursing Quality Indicators for Reporting and Evaluation (NQuIRE) database by developing a data quality framework (DQF) and assessing key dimensions of the framework using a data quality index (DQI). The data quality index is a single key performance metric for assessing the quality of the database. The aims of sharing this case report are 2-fold: (1) to promote best practices for assessing data quality by developing and implementing a data quality framework and (2) to demonstrate an unprecedented method of assessing the data quality of a nursing database.

scholarly journals Data Quality Issues With Physician-Rating Websites: Systematic Review (Preprint)

2019 ◽  
Author(s):  
Pavankumar Mulgund ◽  
Raj Sharman ◽  
Priya Anand ◽  
Shashank Shekhar ◽  
Priya Karadi
Keyword(s):  
Data Quality ◽  
English Language ◽  
Quality Of Data ◽  
Contextual Data ◽  
Patient Reported ◽  
Physician Rating ◽  
Quality Framework ◽  
Quality Issues ◽  
The Impact

BACKGROUND In recent years, online physician-rating websites have become prominent and exert considerable influence on patients’ decisions. However, the quality of these decisions depends on the quality of data that these systems collect. Thus, there is a need to examine the various data quality issues with physician-rating websites. OBJECTIVE This study’s objective was to identify and categorize the data quality issues afflicting physician-rating websites by reviewing the literature on online patient-reported physician ratings and reviews. METHODS We performed a systematic literature search in ACM Digital Library, EBSCO, Springer, PubMed, and Google Scholar. The search was limited to quantitative, qualitative, and mixed-method papers published in the English language from 2001 to 2020. RESULTS A total of 423 articles were screened. From these, 49 papers describing 18 unique data quality issues afflicting physician-rating websites were included. Using a data quality framework, we classified these issues into the following four categories: intrinsic, contextual, representational, and accessible. Among the papers, 53% (26/49) reported intrinsic data quality errors, 61% (30/49) highlighted contextual data quality issues, 8% (4/49) discussed representational data quality issues, and 27% (13/49) emphasized accessibility data quality. More than half the papers discussed multiple categories of data quality issues. CONCLUSIONS The results from this review demonstrate the presence of a range of data quality issues. While intrinsic and contextual factors have been well-researched, accessibility and representational issues warrant more attention from researchers, as well as practitioners. In particular, representational factors, such as the impact of inline advertisements and the positioning of positive reviews on the first few pages, are usually deliberate and result from the business model of physician-rating websites. The impact of these factors on data quality has not been addressed adequately and requires further investigation.

scholarly journals Data Quality Issues With Physician-Rating Websites: Systematic Review

10.2196/15916 ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. e15916
Author(s):  
Pavankumar Mulgund ◽  
Raj Sharman ◽  
Priya Anand ◽  
Shashank Shekhar ◽  
Priya Karadi
Keyword(s):  
Data Quality ◽  
English Language ◽  
Quality Of Data ◽  
Contextual Data ◽  
Patient Reported ◽  
Physician Rating ◽  
Quality Framework ◽  
Quality Issues ◽  
The Impact

Background In recent years, online physician-rating websites have become prominent and exert considerable influence on patients’ decisions. However, the quality of these decisions depends on the quality of data that these systems collect. Thus, there is a need to examine the various data quality issues with physician-rating websites. Objective This study’s objective was to identify and categorize the data quality issues afflicting physician-rating websites by reviewing the literature on online patient-reported physician ratings and reviews. Methods We performed a systematic literature search in ACM Digital Library, EBSCO, Springer, PubMed, and Google Scholar. The search was limited to quantitative, qualitative, and mixed-method papers published in the English language from 2001 to 2020. Results A total of 423 articles were screened. From these, 49 papers describing 18 unique data quality issues afflicting physician-rating websites were included. Using a data quality framework, we classified these issues into the following four categories: intrinsic, contextual, representational, and accessible. Among the papers, 53% (26/49) reported intrinsic data quality errors, 61% (30/49) highlighted contextual data quality issues, 8% (4/49) discussed representational data quality issues, and 27% (13/49) emphasized accessibility data quality. More than half the papers discussed multiple categories of data quality issues. Conclusions The results from this review demonstrate the presence of a range of data quality issues. While intrinsic and contextual factors have been well-researched, accessibility and representational issues warrant more attention from researchers, as well as practitioners. In particular, representational factors, such as the impact of inline advertisements and the positioning of positive reviews on the first few pages, are usually deliberate and result from the business model of physician-rating websites. The impact of these factors on data quality has not been addressed adequately and requires further investigation.

scholarly journals Defining Quality Indicators for Best-Practice Management of Inflammatory Bowel Disease in Canada

2014 ◽  
Vol 28 (5) ◽  
pp. 275-285 ◽  
Author(s):  
Geoffrey C Nguyen ◽  
Shane M Devlin ◽  
Waqqas Afif ◽  
Brian Bressler ◽  
Steven E Gruchy ◽  
...  
Keyword(s):  
Health Care ◽  
Inflammatory Bowel Disease ◽  
Quality Indicators ◽  
Bowel Disease ◽  
Best Practice ◽  
Group Discussion ◽  
Published Data ◽  
Inflammatory Bowel ◽  
The Impact

BACKGROUND: There is a paucity of published data regarding the quality of care of inflammatory bowel disease (IBD) in Canada. Clinical quality indicators are quantitative end points used to guide, monitor and improve the quality of patient care. In Canada, where universal health care can vary significantly among provinces, quality indicators can be used to identify potential gaps in the delivery of IBD care and standardize the approach to interprovincial management.METHODS: The Emerging Practice in IBD Collaborative (EPIC) group generated a shortlist of IBD quality indicators based on a comprehensive literature review. An iterative voting process was used to select quality indicators to take forward. In a face-to-face meeting with the EPIC group, available evidence to support each quality indicator was presented by the EPIC member aligned to it, followed by group discussion to agree on the wording of the statements. The selected quality indicators were then ratified in a final vote by all EPIC members.RESULTS: Eleven quality indicators for the management of IBD within the single-payer health care system of Canada were developed. These focus on accurate diagnosis, appropriate and timely management, disease monitoring, and prevention or treatment of complications of IBD or its therapy.CONCLUSIONS: These quality indicators are measurable, reflective of the evidence base and expert opinion, and define a standard of care that is at least a minimum that should be expected for IBD management in Canada. The next steps for the EPIC group involve conducting research to assess current practice across Canada as it pertains to these quality indicators and to measure the impact of each of these indicators on patient outcomes.

scholarly journals Development of a Best Practice Statement on the Use of Ankle-Foot Orthoses Following Stroke in Scotland

2010 ◽  
Vol 34 (3) ◽  
pp. 245-253 ◽  
Author(s):  
Roy Bowers ◽  
Karyn Ross
Keyword(s):  
Health Service ◽  
Working Group ◽  
Best Practice ◽  
Foot Orthoses ◽  
Ankle Foot Orthoses ◽  
Expert Working Group ◽  
Health Service Quality ◽  
The Impact ◽  
Successes And Challenges

A National Health Service Quality Improvement Scotland (NHS QIS) scoping exercise in 2007 identified the use of ankle-foot orthoses (AFOs) following stroke as a clinical improvement priority, leading to the development of a best practice statement (BPS) on AFO use after stroke. This paper outlines the development process of the BPS which is available from NHS QIS. The authors were involved as part of a working group that included practitioners from the fields of orthotics, physiotherapy, stroke nursing and bioengineering, staff of NHS QIS and a patient representative. In consultation with an NHS QIS health services researcher, the authors undertook a systematic literature review to evidence where possible the recommendations made in the BPS. Where evidence was unavailable, consensus was reached by the expert working group. As the BPS was designed for the non-specialist and non-orthotic practitioner the authors also developed educational resources which were included within the BPS to aid the understanding of the principles underpinning orthotic design and prescription. The BPS has been widely distributed throughout the health service in Scotland and is available electronically at no cost via the NHS QIS website. As part of an ongoing evaluation of the impact of the BPS on the quality of orthotic provision, NHS QIS has invited feedback regarding successes and challenges to implementation.

scholarly journals Econometric Evaluation of Impact of Education Quality on Economic Growth in Azerbaijan

2021 ◽  
Vol 12 (6) ◽  
pp. 1397-1404
Author(s):  
Nazim Hajiyev, Sardar Shabanov, Yadulla Hasanli
Keyword(s):  
Higher Education ◽  
Economic Growth ◽  
Quality Index ◽  
Education Quality ◽  
Average Score ◽  
Regression Equations ◽  
Science And Engineering ◽  
Linear Type ◽  
The Impact

The article is dedicated to study of the impact of the quality of education on the economic growth in Azerbaijan. The quality index of education has been selected for two levels: a) up to higher education; b) higher school and post higher school. The indicator of average score (if available) that an applicant obtained in the current year on the country in student admission to the higher schools as a quality index of education in the country at the pre-higher education is offered as an alternative to the number of upper grades (10-12) in the secondary education. In the higher and post-higher education level, the number of articles printed on basic science and engineering per million people in Azerbaijan, and indexed on the Web of Science is taken as a quality index of education. Semi-linear type regression equations were made to assess the dependence of the indicators characterizing economic development.

scholarly journals Study of a Context Quality Model for UbiPri Middleware

2020 ◽  
Author(s):  
Diandre de Paula ◽  
Daniel Saraiva ◽  
Romeiro Natália ◽  
Nuno Garcia ◽  
Valderi Leithardt
Keyword(s):  
Quality Indicators ◽  
Data Privacy ◽  
Context Information ◽  
Adaptation Process ◽  
Context Aware ◽  
Quality Model ◽  
Context Aware Computing ◽  
Quality Of Context ◽  
The Impact

With the growth of ubiquitous computing, context-aware computing-based applications are increasingly emerging, and these applications demonstrate the impact that context has on the adaptation process. From the context, it will be possible to adapt the application according to the requirements and needs of its users. Therefore, the quality of the context information must be guaranteed so that the application does not have an incorrect or unexpected adaptation process. But like any given data, there is the possibility of inaccuracy and/or uncertainty and so Quality of Context (QoC) plays a key role in ensuring the quality of context information and optimizing the adaptation process. To guarantee the Quality of Context it is necessary to study a quality model to be created, which will have the important function of evaluating the context information. Thus, it is necessary to ensure that the parameters and quality indicators to be used and evaluated are the most appropriate for a given type of application. This paper aims to study a context quality model for the UbiPri middleware, defining its quality indicators to ensure its proper functioning in the process of adaptation in granting access to ubiquitous environments. Keywords: QoC, Model, Context-Aware, Data, Privacy

scholarly journals Facilitating Harmonized Data Quality Assessments. A Data Quality Framework for Observational Health Research Data Collections With Software Implementations in R

2020 ◽  
Author(s):  
Carsten Schmidt ◽  
Stephan Struckmann ◽  
Cornelia Enzenbach ◽  
Achim Reineke ◽  
Jürgen Stausberg ◽  
...  
Keyword(s):  
Data Quality ◽  
Quality Indicators ◽  
Health Research ◽  
Research Data ◽  
Formal Concept ◽  
Software Implementations ◽  
Quality Framework ◽  
Data Collections ◽  
Quality Assessments ◽  
Data Quality Indicators

Abstract Background No standards exist for the handling and reporting of data quality in health research. This work introduces a data quality framework for observational health research data collections with supporting software implementations to facilitate harmonized data quality assessments. Methods Developments were guided by the evaluation of an existing data quality framework and literature reviews. Functions for the computation of data quality indicators were written in R. The concept and implementations are illustrated based on data from the population-based Study of Health in Pomerania (SHIP).Results The data quality framework comprises 34 data quality indicators. These target three aspects of data quality: compliance with pre-specified structural and technical requirements (Integrity), presence of data values (completeness), and error in the data values (correctness). R functions calculate data quality metrics based on the provided study data and metadata and R Markdown reports are generated. Guidance on the concept and tools is available through a dedicated website. Conclusions The presented data quality framework is the first of its kind for observational health research data collections that links a formal concept to implementations in R. The framework and tools facilitate harmonized data quality assessments in pursue of transparent and reproducible research. Application scenarios comprise data quality monitoring while a study is carried out as well as performing an initial data analysis before starting substantive scientific analyses.

Loss of Work Productivity and Quality of Life in Patients With Autoimmune Bullous Dermatoses

2015 ◽  
Vol 19 (6) ◽  
pp. 546-554 ◽  
Author(s):  
K. Heelan ◽  
S. L. Hitzig ◽  
S. Knowles ◽  
A. M. Drucker ◽  
N. Mittmann ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Dermatology Life Quality Index ◽  
Quality Index ◽  
Life Quality ◽  
Work Productivity ◽  
Activity Impairment ◽  
Work Impairment ◽  
Life Quality Index ◽  
The Impact

Background: Little is known about quality of life and work productivity in autoimmune bullous dermatoses (AIBDs). Objective: To determine the impact of AIBDs on quality of life and work productivity. Methods: An observational cross-sectional study took place between February and May 2013 at an AIBD tertiary referral centre. Ninety-four patients were included. All participants completed the Dermatology Life Quality Index and the Work Productivity and Activity Impairment–Specific Health Problem questionnaires. Results: Responders to treatment had less impairment ( P < .001) than nonresponders. Patients with severe AIBD had significantly more impairment that those with mild ( P < .001) and moderate ( P = .002) AIBD. Greater impairment was associated with higher percentage of work missed. Those with a higher Dermatology Life Quality Index score had greater work impairment and overall activity impairment ( P = .041, P = .024). Nonresponders had increased impairment while working ( P < .001), overall work impairment ( P < .001), and activity impairment ( P < .001). Severely affected patients had worse impairment in all Work Productivity and Activity Impairment Questionnaire domains. Conclusions: AIBD has the potential to be a large burden on ability to work and quality of life. Larger studies are needed to clarify how these domains change over time and whether or not they improve with treatment.

scholarly journals The impact of acne vulgaris on quality of life and psychic health in young adolescents in Greece: results of a population survey

2012 ◽  
Vol 87 (6) ◽  
pp. 862-869 ◽  
Author(s):  
Eleni Tasoula ◽  
Stamatis Gregoriou ◽  
John Chalikias ◽  
Dimitris Lazarou ◽  
Ifigenia Danopoulou ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Dermatology Life Quality Index ◽  
Quality Index ◽  
Acne Vulgaris ◽  
Life Quality ◽  
Young Adolescents ◽  
Severe Acne ◽  
Study Population ◽  
The Impact

BACKGROUND: Acne vulgaris can severely affect social and psychological functioning. OBJECTIVE: The aim of this study was to investigate the impact of acne vulgaris and its severity on Quality of Life of young adolescents in Greece. METHODS: We conducted a questionnaire based survey among 1560 adolescent between the ages of 11 and 19 years old and 1531 of these were completed. Adolescents with acne filled all the questions including the Children Dermatology Life Quality Index. Adolescents without acne filled the questions about age, family history of acne, stress and smoking. Data were analyzed with Pearson Chi Square test. RESULTS: Acne prevalence was 51.2% affecting both sexes equally. Self reported mild acne was present in 71.2% and moderate-severe acne in 28.8% of the study population. The mean age of the study population was 15.77y. The median score of Children Dermatology Life Quality Index was 4.02. The impact of acne on quality of life is associated with the severity of the acne (p<0.0001). Patients with moderate/severe acne experience greater psychosocial and emotional impairment (p<0.0001). Body image is modified proportionally to the severity of acne (p<0.0001). Symptoms and treatment of acne are factors that also influence their quality of life. Girls and boys are equally affected. Stress and heredity are correlated with acne and its severity (p<0.0001). We didn't find any correlation between smoking and acne. CONCLUSION: Acne affects Quality of Life of young adolescents in Greece. The impact is proportional to the severity of acne. More severe acne is associated with greater effect on quality of life with implications for self esteem, body image and relationships with others.

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