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Systematic searching for theory to inform systematic reviews: is it feasible? Is it desirable?
Andrew Booth1, Christopher Carroll1
1Health Economics & Decision Science (HEDS), School of Health & Related Research (ScHARR), University of Sheffield, Sheffield, UK.
Background:
In recognising the potential value of theory in understanding how interventions work comes a challenge - how to make identification of theory less haphazard?
Objectives:
To explore the feasibility of systematic identification of theory.
Method:
We searched PubMed for published reviews (1998-2012) that had explicitly sought to identify theory. Systematic searching may be characterised by a structured question, methodological filters and an itemised search procedure. We constructed a template (BeHEMoTh - Behaviour of interest; Health context; Exclusions; Models or Theories) for use when systematically identifying theory. The authors tested the template within two systematic reviews.
Results:
Of 34 systematic reviews, only 12 reviews (35%) reported a method for identifying theory. Nineteen did not specify how they identified studies containing theory. Data were unavailable for three reviews. Candidate terms include concept(s)/conceptual, framework(s), model(s), and theory/theories/theoretical. Information professionals must overcome inadequate reporting and the use of theory out of context. The review team faces an additional concern in lack of 'theory fidelity'.
Conclusions:
Based on experience with two systematic reviews, the BeHEMoTh template and procedure offers a feasible and useful approach for identification of theory. Applications include realist synthesis, framework synthesis or review of complex interventions. The procedure requires rigorous evaluation.
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