Rehfuess, E.A. orcid.org/0000-0002-4318-8846, Booth, A., Brereton, L. et al. (8 more authors) (2017) Towards a taxonomy of logic models in systematic reviews and health technology assessments: a priori, staged and iterative approaches. Research Synthesis Methods, 9 (1). pp. 13-24. ISSN 1759-2879
Abstract
The complexity associated with how interventions result – or fail to result – in outcomes, and how context matters is increasingly recognised. Logic models provide an important tool for handling complexity, with contrasting uses in programme evaluation and evidence synthesis. To reconcile these, we developed an approach that combines the strengths of both traditions, propose a taxonomy of logic models, and provide guidance on how to choose between approaches and types of logic models in systematic reviews and health technology assessments (HTA).
The taxonomy distinguishes three approaches (a priori, staged, iterative) and two types (systems-based, process-orientated) of logic models. An a priori logic model is specified at the start of the systematic review/HTA and remains unchanged. With a staged logic model, the reviewer pre-specifies several points, at which major data inputs require a subsequent version. An iterative logic model is continuously modified throughout the systematic review/HTA process. System-based logic models describe the system, in which the interaction between participants, intervention and context takes place; process-orientated models display the causal pathways leading from the intervention to multiple outcomes.
The proposed taxonomy of logic models offers an improved understanding of the advantages and limitations of logic models across the spectrum from a priori to fully iterative approaches. Choice of logic model should be informed by scope of evidence synthesis, presence/absence of clearly defined PICO elements and feasibility considerations. Applications across distinct interventions and methodological approaches will deliver good-practice case studies and offer further insights on the choice and implementation of logic modelling approaches.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 John Wiley & Sons, Ltd. This is an author-produced version of a paper subsequently published in Research Synthesis Methods. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Logic model; framework; theory of change; complex intervention; guidance |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > ScHARR - Sheffield Centre for Health and Related Research |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 11 Jul 2017 15:42 |
Last Modified: | 19 Oct 2023 12:14 |
Status: | Published |
Publisher: | Wiley |
Refereed: | Yes |
Identification Number: | 10.1002/jrsm.1254 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:118841 |