A systematic review of electronic audit and feedback: intervention effectiveness and use of behaviour change theory View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-12

AUTHORS

Timothy Tuti, Jacinta Nzinga, Martin Njoroge, Benjamin Brown, Niels Peek, Mike English, Chris Paton, Sabine N van der Veer

ABSTRACT

BACKGROUND: Audit and feedback is a common intervention for supporting clinical behaviour change. Increasingly, health data are available in electronic format. Yet, little is known regarding if and how electronic audit and feedback (e-A&F) improves quality of care in practice. OBJECTIVE: The study aimed to assess the effectiveness of e-A&F interventions in a primary care and hospital context and to identify theoretical mechanisms of behaviour change underlying these interventions. METHODS: In August 2016, we searched five electronic databases, including MEDLINE and EMBASE via Ovid, and the Cochrane Central Register of Controlled Trials for published randomised controlled trials. We included studies that evaluated e-A&F interventions, defined as a summary of clinical performance delivered through an interactive computer interface to healthcare providers. Data on feedback characteristics, underlying theoretical domains, effect size and risk of bias were extracted by two independent review authors, who determined the domains within the Theoretical Domains Framework (TDF). We performed a meta-analysis of e-A&F effectiveness, and a narrative analysis of the nature and patterns of TDF domains and potential links with the intervention effect. RESULTS: We included seven studies comprising of 81,700 patients being cared for by 329 healthcare professionals/primary care facilities. Given the extremely high heterogeneity of the e-A&F interventions and five studies having a medium or high risk of bias, the average effect was deemed unreliable. Only two studies explicitly used theory to guide intervention design. The most frequent theoretical domains targeted by the e-A&F interventions included 'knowledge', 'social influences', 'goals' and 'behaviour regulation', with each intervention targeting a combination of at least three. None of the interventions addressed the domains 'social/professional role and identity' or 'emotion'. Analyses identified the number of different domains coded in control arm to have the biggest role in heterogeneity in e-A&F effect size. CONCLUSIONS: Given the high heterogeneity of identified studies, the effects of e-A&F were found to be highly variable. Additionally, e-A&F interventions tend to implicitly target only a fraction of known theoretical domains, even after omitting domains presumed not to be linked to e-A&F. Also, little evaluation of comparative effectiveness across trial arms was conducted. Future research should seek to further unpack the theoretical domains essential for effective e-A&F in order to better support strategic individual and team goals. More... »

PAGES

61

References to SciGraph publications

  • 2009-12. Specifying and reporting complex behaviour change interventions: the need for a scientific method in IMPLEMENTATION SCIENCE
  • 2008-12. Evaluating the successful implementation of evidence into practice using the PARiHS framework: theoretical and practical challenges in IMPLEMENTATION SCIENCE
  • 2015-12. Implementation of an audit with feedback knowledge translation intervention to promote medication error reporting in health care: a protocol in IMPLEMENTATION SCIENCE
  • 2014-12. No more ‘business as usual’ with audit and feedback interventions: towards an agenda for a reinvigorated intervention in IMPLEMENTATION SCIENCE
  • 2014-12. "I should have discharged him but I felt guilty": a qualitative investigation of clinicians' emotions in the context of implementing occupational therapy in IMPLEMENTATION SCIENCE
  • 2013-12. Strategies to enhance venous thromboprophylaxis in hospitalized medical patients (SENTRY): a pilot cluster randomized trial in IMPLEMENTATION SCIENCE
  • 2010-12. Embedding effective depression care: using theory for primary care organisational and systems change in IMPLEMENTATION SCIENCE
  • 2015-12. Understanding effects in reviews of implementation interventions using the Theoretical Domains Framework in IMPLEMENTATION SCIENCE
  • 2015-12. Successful implementation of an enhanced recovery after surgery programme for elective colorectal surgery: a process evaluation of champions’ experiences in IMPLEMENTATION SCIENCE
  • 2010-12. Normalisation process theory: a framework for developing, evaluating and implementing complex interventions in BMC MEDICINE
  • 2014-09. Dashboard Systems: Implementing Pharmacometrics from Bench to Bedside in THE AAPS JOURNAL
  • 2014-12. Evidence-based de-implementation for contradicted, unproven, and aspiring healthcare practices in IMPLEMENTATION SCIENCE
  • 2009-12. Mapping new theoretical and methodological terrain for knowledge translation: contributions from critical realism and the arts in IMPLEMENTATION SCIENCE
  • 2011-12. Individual determinants of research utilization by nurses: a systematic review update in IMPLEMENTATION SCIENCE
  • 2013-12. A checklist for identifying determinants of practice: A systematic review and synthesis of frameworks and taxonomies of factors that prevent or enable improvements in healthcare professional practice in IMPLEMENTATION SCIENCE
  • 2014-07. Examining Clinical Performance Feedback in Patient-Aligned Care Teams in JOURNAL OF GENERAL INTERNAL MEDICINE
  • 2015-12. Economic evaluation of the practical approach to lung health and informal provider interventions for improving the detection of tuberculosis and chronic airways disease at primary care level in Malawi: study protocol for cost-effectiveness analysis in IMPLEMENTATION SCIENCE
  • 2012-12. Building theories of knowledge translation interventions: Use the entire menu of constructs in IMPLEMENTATION SCIENCE
  • 2016-12. Effect of a web-based audit and feedback intervention with outreach visits on the clinical performance of multidisciplinary teams: a cluster-randomized trial in cardiac rehabilitation in IMPLEMENTATION SCIENCE
  • 2011-12. Evaluating complex interventions and health technologies using normalization process theory: development of a simplified approach and web-enabled toolkit in BMC HEALTH SERVICES RESEARCH
  • 2005-12. What do we know about how to do audit and feedback? Pitfalls in applying evidence from a systematic review in BMC HEALTH SERVICES RESEARCH
  • 2007-12. Use of a Registry-generated Audit, Feedback, and Patient Reminder Intervention in an Internal Medicine Resident Clinic—A Randomized Trial in JOURNAL OF GENERAL INTERNAL MEDICINE
  • 2011-12. A realist evaluation of the role of communities of practice in changing healthcare practice in IMPLEMENTATION SCIENCE
  • 2013-12. A systematic review of the use of theory in randomized controlled trials of audit and feedback in IMPLEMENTATION SCIENCE
  • 2008-12. Is reporting on interventions a weak link in understanding how and why they work? A preliminary exploration using community heart health exemplars in IMPLEMENTATION SCIENCE
  • 2015-12. Computer-supported feedback message tailoring: theory-informed adaptation of clinical audit and feedback for learning and behavior change in IMPLEMENTATION SCIENCE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s13012-017-0590-z

    DOI

    http://dx.doi.org/10.1186/s13012-017-0590-z

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1085378699

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/28494799


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