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Systematic searching for theory to inform systematic reviews: is it feasible? Is it desirable?
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.
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“To develop a more systematic approach to searching this subject area, we employed a new, iterative approach called the BeHEMoTh (Behavior of interest; Health context; Exclusions; Models or Theories) framework [24] to inform our search protocol and to build a list of names of KT theories, models and frameworks.”
From Scoping review identifies significant number of knowledge translation theories, models, and frameworks with limited use (2018) · cites this paper as [24]
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Metadata
- Authors
- Booth, A., & Carroll, C.
- Affiliations
- University of Sheffield (GB)
- Corresponding author
- Booth, Andrew
- Venue
- Health Information & Libraries Journal
- Publisher
- Wiley
- Published
- 2015-06-11
- Volume
- 32
- Issue
- 3
- Pages
- 220-235
- ISSN
- 1471-1834 (ISSN-L)
- 1471-1842
- OpenAlex
- W1935977214
- Cited by
- 196
- References
- 52
- Citations by year
- 2026: 10 · 2025: 26 · 2024: 33 · 2023: 27 · 2022: 17 · 2021: 26 · 2020: 19 · 2019: 10 · 2018: 11 · 2017: 10 · 2016: 6 · 2015: 1
- FWCI
- 1.55
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Health Information & Libraries Journal (publishedVersion)
- PubMed (publishedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Health Sciences › Nursing › Research and Theory › Methodologies in Health Research and Practice
- Keywords
- systematic reviews, search strategy design, realist synthesis, framework synthesis, complex interventions, reporting quality
- MeSH terms
- Abstracting and Indexing, Humans, Review Literature as Topic, Databases, Bibliographic, Information Storage and Retrieval
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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