A principal component analysis is conducted for a case series quality appraisal checklist

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...

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Veröffentlicht in:Journal of clinical epidemiology Jg. 69; S. 199 - 207.e2
Hauptverfasser: Guo, Bing, Moga, Carmen, Harstall, Christa, Schopflocher, Don
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Elsevier Inc 01.01.2016
Elsevier Limited
Schlagworte:
Bias
Case series
Checklist - standards
Confidence intervals
Delphi
Epidemiology
Experimental design
Internal Medicine
Intervention
Practice Guidelines as Topic
Principal Component Analysis
Principal components analysis
Quality
Quality appraisal
Quality Assurance, Health Care - methods
Research Design
Research evidence
Studies
Surveys and Questionnaires
Treatment intervention
Validation
Validation
Quality appraisal
Treatment intervention
Case series
Research evidence
Delphi
ISSN:0895-4356, 1878-5921, 1878-5921
Online-Zugang:Volltext
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Zusammenfassung: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. 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. 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. This quality appraisal checklist may be useful in assessing case-series studies, but further validation of the checklist is required.
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ISSN:0895-4356
1878-5921
1878-5921
DOI:10.1016/j.jclinepi.2015.07.010