Trial reportImplementation science : IS2023
Engagement is a necessary condition to test audit and feedback design features: results of a pragmatic, factorial, cluster-randomized trial with an embedded process evaluation.
Trial report in Implementation science : IS, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02979964 (Pragmatic Factorial Cluster Trial of Framing and Comparators for Audit and Feedback Aiming to Address High Risk Prescribing in Nursing Homes in Ontario), which is not on this map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Pragmatic Factorial Cluster Trial of Framing and Comparators for Audit and Feedback Aiming to Address High Risk Prescribing in Nursing Homes in Ontario
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Audit and feedback: effects on professional practice.The Cochrane database of systematic reviews · 2025Pooled it
- Do process evaluations open up the 'black box' of implementation interventions in health care? A scoping review.Implementation science : IS · 2025Article
- The engagement equation: a model for understanding what drives voluntary physician engagement with data-driven clinical performance feedback.Implementation science communications · 2025Article
- Article
- Optimizing accrual to a large-scale, clinically integrated randomized trial in anesthesiology: A 2-year analysis of recruitment.Clinical trials (London, England) · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
backgroundWhile audit & feedback (A&F) is an effective implementation intervention, the design elements which maximize effectiveness are unclear. Partnering with a healthcare quality advisory organization already delivering feedback, we conducted a pragmatic, 2 × 2 factorial, cluster-randomized trial to test the impact of variations in two factors: (A) the benchmark used for comparison and (B) information framing. An embedded process evaluation explored hypothesized mechanisms of effect.
methodsEligible physicians worked in nursing homes in Ontario, Canada, and had voluntarily signed up to receive the report. Groups of nursing homes sharing physicians were randomized to (A) physicians' individual prescribing rates compared to top-performing peers (the top quartile) or the provincial median and (B) risk-framed information (reporting the number of patients prescribed high-risk medication) or benefit-framed information (reporting the number of patients not prescribed). We hypothesized that the top quartile comparator and risk-framing would lead to greater practice improvements. The primary outcome was the mean number of central nervous system-active medications per resident per month. Primary analyses compared the four arms at 6 months post-intervention. Factorial analyses were secondary. The process evaluation comprised a follow-up questionnaire and semi-structured interviews.
resultsTwo hundred sixty-seven physicians (152 clusters) were randomized: 67 to arm 1 (median benchmark, benefit framing), 65 to arm 2 (top quartile benchmark, benefit framing), 75 to arm 3 (median benchmark, risk framing), and 60 to arm 4 (top quartile benchmark, risk framing). There were no significant differences in the primary outcome across arms or for each factor. However, engagement was low (27-31% of physicians across arms downloaded the report). The process evaluation indicated that both factors minimally impacted the proposed mechanisms. However, risk-framed feedback was perceived as more actionable and more compatible with current workflows, whilst a higher target might encourage behaviour change when physicians identified with the comparator.
conclusionsRisk framing and a top quartile comparator have the potential to achieve change. Further work to establish the strategies most likely to enhance A&F engagement, particularly with physicians who may be most likely to benefit from feedback, is required to support meaningfully addressing intricate research questions concerning the design of A&F.
trial registrationClinicalTrials.gov, NCT02979964 . Registered 29 November 2016.
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