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How much searching is enough? Comprehensive versus optimal retrieval for technology assessments
1School of Health and RelatedResearch, University of Sheffield, Regent Court, 30 Regent Street, Sheffield, South Yorkshire S1 4DA, United Kingdom. A.Booth@sheffield.ac.uk
International Journal of Technology Assessment in Health Care
|October 7, 2010
Summary
This study reviews eight methods for optimizing literature retrieval in health technology assessments (HTA). Formal evaluation of these methods is limited, highlighting a need for further research into their strengths and weaknesses.
Area of Science:
- Health Technology Assessment (HTA)
- Information Science
- Evidence Synthesis
Background:
- Effective literature searching is crucial for comprehensive Health Technology Assessment (HTA) reports.
- Deciding when to stop searching is a critical but often subjective aspect of evidence synthesis.
Purpose of the Study:
- To review and identify various methods for optimizing study retrieval in Health Technology Assessment (HTA).
- To highlight the current lack of formal evaluation regarding the efficacy of different retrieval optimization techniques.
Main Methods:
- Systematic review of methodology literature concerning literature searching strategies.
- Identification and categorization of techniques used to evaluate search yield and determine search cessation.
Main Results:
- Eight distinct methods for optimizing literature retrieval were identified.
- Methods include Capture-recapture, commissioner feedback, disconfirming cases, Gold standard comparison, Known items retrieval, diminishing returns, a priori stopping rules, and theoretical saturation.
Conclusions:
- A variety of methods exist for optimizing literature retrieval in HTA, but formal evaluation is scarce.
- An agenda for future research is proposed, focusing on evaluating method strengths/weaknesses and the impact of missing studies.
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