4.6 Article

Recommendations for outcome measurement for deprescribing intervention studies

期刊

JOURNAL OF THE AMERICAN GERIATRICS SOCIETY
卷 70, 期 9, 页码 2487-2497

出版社

WILEY
DOI: 10.1111/jgs.17894

关键词

deprescription; outcome assessment; polypharmacy

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Interpreting and generating actionable evidence from deprescribing interventions is challenging due to inconsistent and heterogeneous outcome definitions. A scoping review and expert panel discussions were conducted to characterize deprescribing intervention outcomes and recommend measurement approaches. The review identified common outcomes such as medication discontinuation, medication appropriateness, and a range of clinical outcomes. Recommendations included defining meaningful medication outcomes, ensuring adequate sample size and follow-up time, and selecting appropriate data sources. Further development is needed for implementation outcomes and measures of adverse drug withdrawal events.
Interpreting results from deprescribing interventions to generate actionable evidence is challenging owing to inconsistent and heterogeneous outcome definitions between studies. We sought to characterize deprescribing intervention outcomes and recommend approaches to measure outcomes for future studies. A scoping literature review focused on deprescribing interventions for polypharmacy and informed a series of expert panel discussions and recommendations. Twelve experts in deprescribing research, policy, and clinical practice interventions participating in the Measures Workgroup of the US Deprescribing Research Network sought to characterize deprescribing outcomes and recommend approaches to measure outcomes for future studies. The scoping review identified 125 papers reflecting 107 deprescribing studies. Common outcomes included medication discontinuation, medication appropriateness, and a broad range of clinical outcomes potentially resulting from medication reduction. Panel recommendations included clearly defining clinically meaningful medication outcomes (e.g., number of chronic medications, dose reductions), ensuring adequate sample size and follow-up time to capture clinical outcomes resulting from medication discontinuation (e.g., quality of life [QOL]), and selecting appropriate and feasible data sources. A new conceptual model illustrates how downstream clinical outcomes (e.g., reduction in falls) should be interpreted in the context of initial changes in medication measures (e.g., reduction in mean total medications). Areas needing further development include implementation outcomes specific to deprescribing interventions and measures of adverse drug withdrawal events. Generating evidence to guide deprescribing is essential to address patient, caregiver, and clinician concerns about the benefits and harms of medication discontinuation. This article provides recommendations and an initial conceptual framework for selecting and applying appropriate intervention outcomes to support deprescribing research.

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