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A principal component analysis is conducted for a case series quality appraisal checklist
- Source :
- Journal of clinical epidemiology. 69
- Publication Year :
- 2014
-
Abstract
- Objective Because of a lack of a control group, a case-series study is considered one of the weaker study designs from which to obtain evidence on treatment effectiveness. Under certain circumstances, however, this is the only available evidence to inform health-care decisions. This study's intent was to develop and validate a quality appraisal checklist specifically for case-series studies. Study design and setting A modified Delphi process was used to develop the checklist, which was then used by multiple researchers to appraise a random sample of 105 case-series studies. A principal component analysis of these appraisals was conducted to further refine the checklist. Results The modified Delphi process resulted in a 20-criterion checklist. The principal component analysis of the appraisals for the 105 case-series studies revealed two components. The first component (10 criteria) indicated the extent to which a case series presented traditional features of a statistical hypothesis-testing paradigm. The second component (seven criteria) indicated whether detailed descriptions of the subjects' characteristics that might feature in the experimental design were present, particularly in judgments about the likelihood of confounding. Conclusion This quality appraisal checklist may be useful in assessing case-series studies, but further validation of the checklist is required.
- Subjects :
- Research design
Quality Assurance, Health Care
Epidemiology
Process (engineering)
Applied psychology
computer.software_genre
03 medical and health sciences
0302 clinical medicine
Component (UML)
Surveys and Questionnaires
Medicine
030212 general & internal medicine
computer.programming_language
Principal Component Analysis
business.industry
Clinical study design
Confounding
030206 dentistry
Checklist
Research Design
Principal component analysis
Practice Guidelines as Topic
Data mining
business
computer
Delphi
Subjects
Details
- ISSN :
- 18785921
- Volume :
- 69
- Database :
- OpenAIRE
- Journal :
- Journal of clinical epidemiology
- Accession number :
- edsair.doi.dedup.....c8e02c91d87304315252f7142f7eb1b3