Using audit and feedback to guide tailored implementations of measurement-based care in community mental health: a multiple case study.

Autor: Snider MDH; Department of Psychology, West Virginia University, 53 Campus Drive Morgantown, Morgantown, WV, 26505, USA. mdh0054@mix.wvu.edu., Boyd MR; Department of Psychology, University of California Los Angeles, Los Angeles, USA., Walker MR; Center for Health Equity Research, University of North Carolina, Chapel Hill, USA., Powell BJ; Center for Mental Health Services Research, Brown School, Washington University in St. Louis, St. Louis, USA.; Division of Infectious Diseases, John T. Milliken Department of Medicine, Washington University School of Medicine, Washington University in St. Louis, St. Louis, USA.; Center for Dissemination and Implementation, Institute for Public Health, Washington University in St. Louis, St. Louis, USA., Lewis CC; Kaiser Permanente Washington Health Research Institute, Seattle, USA.
Jazyk: angličtina
Zdroj: Implementation science communications [Implement Sci Commun] 2023 Aug 14; Vol. 4 (1), pp. 94. Date of Electronic Publication: 2023 Aug 14.
DOI: 10.1186/s43058-023-00474-8
Abstrakt: Background: Audit and feedback (A&F) is an implementation strategy that can facilitate implementation tailoring by identifying gaps between desired and actual clinical care. While there are several theory-based propositions on which A&F components lead to better implementation outcomes, many have not been empirically investigated, and there is limited guidance for stakeholders when applying A&F in practice. The current study aims to illustrate A&F procedures in six community mental health clinics, with an emphasis on reporting A&F components that are relevant to theories of how feedback elicits behavior change.
Methods: Six clinics from a larger trial using a tailored approach to implement measurement-based care (MBC) were analyzed for feedback content, delivery mechanisms, barriers to feedback, and outcomes of feedback using archival data. Pattern analysis was conducted to examine relations between A&F components and changes in MBC use.
Results: Several sites utilized both aggregate and individualized data summaries, and data accuracy concerns were common. Feedback cycles featuring individual-level clinician data, data relevant to MBC barriers, and information requested by data recipients were related to patterns of increased MBC use.
Conclusions: These findings support extant theory, such as Feedback Intervention Theory. Mental health professionals wishing to apply A&F should consider establishing reciprocal feedback mechanisms on the quality and amount of data being received and adopting specific roles communicating and addressing data quality concerns.
Trial Registration: ClinicalTrials.gov Identifier: NCT02266134.
(© 2023. BioMed Central Ltd.)
Databáze: MEDLINE
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