Recommendations for outcome measurement for deprescribing intervention studies

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.     

Physician detection of drinking problems in patients attending a general medicine practice

Objective:To assess the patient and physician characteristics that influence physicians’ detection of problem drinking in their medical patients. Setting:The outpatient medical clinic at an urban university teaching hospital staffed by interns and residents. Design:Cross-sectional study of a rendomly chosen subsample of consecutive patients. Measurement:Univariate and multivariate analysis with calculated adjusted odds ratios of factors associated with physician detection of drinking problems. A problem was diagnosed according to the patient’s results on the alcohol module of the Diagnostic Interview Schedule (DIS). Results:Physicians detected 22% of 189 presumably inactive problems and 49% of 92 current problems, i.e., those that have occurred within the preceding year. Multivariate correlates of detection of active problems included male patient gender, presence of gastrointestinal complications of excessive drinking, number of concurrent medical disorders, and previous medical record reference to alcohol (p<0.05). Physician gender and year of training were not associated with detection. Conclusion:Our physicians appear to rely on specific patient characteristics as well as the patient’s medical record to detect drinking problems in their ambulatory patients. Their reliance upon these factors may hinder their detection of drinking problems in women patients and less seriously impaired individuals. Supported in part by Commonwealth Center on Drug Abuse Faculty Grant Program and Bureau of Health Professions, HRSA Grant for Residency Training in General Internal Medicine.