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Specifying and reporting complex behaviour change interventions: the need for a scientific method

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TLDR
Implementation Science is introducing a policy of initially encouraging and subsequently requiring the scientific reporting of complex behaviour change interventions.
Abstract
Complex behaviour change interventions are not well described; when they are described, the terminology used is inconsistent. This constrains scientific replication, and limits the subsequent introduction of successful interventions. Implementation Science is introducing a policy of initially encouraging and subsequently requiring the scientific reporting of complex behaviour change interventions.

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Citations
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The behaviour change wheel: a new method for characterising and designing behaviour change interventions.

TL;DR: Interventions and policies to change behaviour can be usefully characterised by means of a BCW comprising: a 'behaviour system' at the hub, encircled by intervention functions and then by policy categories, and a new framework aimed at overcoming their limitations is developed.
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The Behavior Change Technique Taxonomy (v1) of 93 Hierarchically Clustered Techniques: Building an International Consensus for the Reporting of Behavior Change Interventions

TL;DR: “BCT taxonomy v1,” an extensive taxonomy of 93 consensually agreed, distinct BCTs, offers a step change as a method for specifying interventions, but the authors anticipate further development and evaluation based on international, interdisciplinary consensus.
Journal ArticleDOI

Outcomes for Implementation Research: Conceptual Distinctions, Measurement Challenges, and Research Agenda

TL;DR: A heuristic, working “taxonomy” of eight conceptually distinct implementation outcomes—acceptability, adoption, appropriateness, feasibility, fidelity, implementation cost, penetration, and sustainability—along with their nominal definitions is proposed.
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Process evaluation of complex interventions: Medical Research Council guidance

TL;DR: New MRC guidance provides a framework for conducting and reporting process evaluation studies that will help improve the quality of decision-making in the design and testing of complex interventions.
References
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Journal ArticleDOI

The Strengthening the Reporting of Observational Studies in Epidemiology [STROBE] statement: guidelines for reporting observational studies

TL;DR: The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) initiative developed recommendations on what should be included in an accurate and complete report of an observational study, resulting in a checklist of 22 items (the STROBE statement) that relate to the title, abstract, introduction, methods, results, and discussion sections of articles.
Journal ArticleDOI

The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies

TL;DR: The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Initiative developed recommendations on what should be included in an accurate and complete report of an observational study, resulting in a checklist of 22 items that relate to the title, abstract, introduction, methods, results, and discussion sections of articles.
Journal ArticleDOI

The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies

TL;DR: The STROBE Statement is a checklist of items that should be addressed in articles reporting on the 3 main study designs of analytical epidemiology: cohort, casecontrol, and cross-sectional studies; these recommendations are not prescriptions for designing or conducting studies.
Journal ArticleDOI

Developing and evaluating complex interventions: The new Medical Research Council guidance

TL;DR: The Medical Research Council's evaluation framework (2000) brought welcome clarity to the task and now the council has updated its guidance.
Journal ArticleDOI

Diffusion of Innovations in Service Organizations: Systematic Review and Recommendations

TL;DR: A parsimonious and evidence-based model for considering the diffusion of innovations in health service organizations, clear knowledge gaps where further research should be focused, and a robust and transferable methodology for systematically reviewing health service policy and management are discussed.
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