Tools for assessing quality and susceptibility to bias in observational studies in epidemiology: a systematic review and annotated bibliography
University of Cambridge · Primary Health Care
Indexed incrossrefpubmed
Abstract
Background
Assessing quality and susceptibility to bias is essential when interpreting primary research and conducting systematic reviews and meta-analyses. Tools for assessing quality in clinical trials are well-described but much less attention has been given to similar tools for observational epidemiological studies.
Methods
Tools were identified from a search of three electronic databases, bibliographies and an Internet search using Google. Two reviewers extracted data using a pre-piloted extraction form and strict inclusion criteria. Tool content was evaluated for domains potentially related to bias and was informed by the STROBE guidelines for reporting observational epidemiological studies.
Citation impact
1,543
total citations
- FWCI
- 35.88
- Percentile
- 100%
- References
- 74
Citations per year
Authors
3Topics & keywords
Topics
Keywords
- Observational study
- Strengthening the reporting of observational studies in epidemiology
- Data extraction
- Critical appraisal
- Confounding
- Selection bias
- Clinical study design
- Epidemiology
UN Sustainable Development Goals
- Good health and well-being
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