Systematic searching for theory to inform systematic reviews: is it feasible? Is it desirable?

Health Info Libr J. 2015 Sep;32(3):220-35. doi: 10.1111/hir.12108. Epub 2015 Jun 11.

Abstract

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.

Keywords: bibliographic databases; database searching; information retrieval; literature searching; review and systematic search.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Abstracting and Indexing*
  • Databases, Bibliographic / statistics & numerical data*
  • Humans
  • Information Storage and Retrieval / methods*
  • Information Storage and Retrieval / trends
  • Review Literature as Topic*