Family Conferences to Facilitate Deprescribing in Older Outpatients With Frailty and With Polypharmacy: The COFRAIL Cluster Randomized Trial.

Importance: For older adults with frailty syndrome, reducing polypharmacy may have utility as a safety-promoting treatment option. Objective: To investigate the effects of family conferences on medication and clinical outcomes in community-dwelling older adults with frailty receiving polypharmacy. Design, Setting, and Participants: This cluster randomized clinical trial was conducted from April 30, 2019, to June 30, 221, at 110 primary care practices in Germany. The study included community-dwelling adults aged 70 years or older with frailty syndrome, daily use of at least 5 different medications, a life expectancy of at least 6 months, and no moderate or severe dementia. Interventions: General practitioners (GPs) in the intervention group received 3 training sessions on family conferences, a deprescribing guideline, and a toolkit with relevant nonpharmacologic interventions. Three GP-led family conferences for shared decision-making involving the participants and family caregivers and/or nursing services were subsequently held per patient at home over a period of 9 months. Patients in the control group received care as usual. Main Outcomes and Measures: The primary outcome was the number of hospitalizations within 12 months, as assessed by nurses during home visits or telephone interviews. Secondary outcomes included the number of medications, the number of European Union list of the number of potentially inappropriate medication (EU[7]-PIM) for older people, and geriatric assessment parameters. Both per-protocol and intention-to-treat analyses were conducted. Results: The baseline assessment included 521 individuals (356 women [68.3%]; mean [SD] age, 83.5 [6.17] years). The intention-to-treat analysis with 510 patients showed no significant difference in the adjusted mean (SD) number of hospitalizations between the intervention group (0.98 [1.72]) and the control group (0.99 [1.53]). In the per-protocol analysis including 385 individuals, the mean (SD) number of medications decreased from 8.98 (3.56) to 8.11 (3.21) at 6 months and to 8.49 (3.63) at 12 months in the intervention group and from 9.24 (3.44) to 9.32 (3.59) at 6 months and to 9.16 (3.42) at 12 months in the control group, with a statistically significant difference at 6 months in the mixed-effect Poisson regression model (P = .001). After 6 months, the mean (SD) number of EU(7)-PIMs was significantly lower in the intervention group (1.30 [1.05]) than in the control group (1.71 [1.25]; P = .04). There was no significant difference in the mean number of EU(7)-PIMs after 12 months. Conclusions and Relevance: In this cluster randomized clinical trial with older adults taking 5 or more medications, the intervention consisting of GP-led family conferences did not achieve sustainable effects in reducing the number of hospitalizations or the number of medications and EU(7)-PIMs after 12 months. Trial Registration: German Clinical Trials Register: DRKS00015055.

Anticholinergic burden measures, symptoms, and fall-associated risk in older adults with polypharmacy: Development and validation of a prognostic model.

BACKGROUND: Anticholinergic burden has been associated with adverse outcomes such as falls. To date, no gold standard measure has been identified to assess anticholinergic burden, and no conclusion has been drawn on which of the different measure algorithms best predicts falls in older patients from general practice. This study compared the ability of five measures of anticholinergic burden to predict falls. To account for patients' individual susceptibility to medications, the added predictive value of typical anticholinergic symptoms was further quantified in this context. METHODS AND FINDINGS: To predict falls, models were developed and validated based on logistic regression models created using data from two German cluster-randomized controlled trials. The outcome was defined as "≥ 1 fall" vs. "no fall" within a 6-month follow-up period. Data from the RIME study (n = 1,197) were used in model development, and from PRIMUM (n = 502) for external validation. The models were developed step-wise in order to quantify the predictive ability of anticholinergic burden measures, and anticholinergic symptoms. In the development set, 1,015 patients had complete data and 188 (18.5%) experienced ≥ 1 fall within the 6-month follow-up period. The overall predictive value of the five anticholinergic measures was limited, with neither the employed anticholinergic variable (binary / count / burden), nor dose-dependent or dose-independent measures differing significantly in their ability to predict falls. The highest c-statistic was obtained using the German Anticholinergic Burden Score (0.73), whereby the optimism-corrected c-statistic was 0.71 after interval validation using bootstrapping and 0.63 in the external validation. Previous falls and dizziness / vertigo had the strongest prognostic value in all models. CONCLUSIONS: The ability of anticholinergic burden measures to predict falls does not appear to differ significantly, and the added value they contribute to risk classification in fall-prediction models is limited. Previous falls and dizziness / vertigo contributed most to model performance.

Development of a deprescribing manual for frail older people for use in the COFRAIL study and in primary care.

Introduction: Many older adults are affected by multimorbidity and subsequent polypharmacy which is associated with adverse outcomes. This is especially relevant for frail older patients. Polypharmacy may be reduced via deprescribing. As part of the complex intervention in the COFRAIL study, we developed a deprescribing manual to be used by general practitioners (GPs) in family conferences, in which GPs, patients and caregivers jointly discuss treatments. Methods: We selected indications with a high prevalence in older adults in primary care (e.g. diabetes mellitus, hypertension) and conducted a literature search to identify deprescribing criteria for these indications. We additionally reviewed clinical practice guidelines. Based on the extracted information, we created a deprescribing manual which was then piloted in an expert workshop and in family conferences with volunteer patients according to the inclusion and exclusion criteria of the study protocol. Results: Initially, 13 indications/topics were selected. The literature search identified deprescribing guides, reviews and clinical trials as well as lists of potentially inappropriate medication and systematic reviews on the risk and benefits of specific drugs and drug classes in older patients. After piloting and revisions, the deprescribing manual now covers 11 indications/topics. In each chapter, patient- and medication-related deprescribing criteria, monitoring and communication strategies, and information about concerns related to the use of specific drugs in older patients are provided. Discussion: We found varying deprescribing strategies in the literature, which we consolidated in our deprescribing manual. Whether this approach leads to successful deprescribing in family conferences is being investigated in the cluster-randomised controlled COFRAIL study. Plain Language Summary: Development of a manual to help doctors to identify which medications can be withdrawn Many older adults suffer from chronic diseases and take multiple medications concurrently. This can lead to side effects and other undesired events. We developed a manual to help doctors identify which medications can be withdrawn, so that they can discuss this with their patients. This manual was used in the COFRAIL study where doctors, patients and caregivers met in family conferences to discuss their preferences and decide together how future treatments should be handled. The manual contains information on common medications, symptoms and diseases in older patients such as diabetes and high blood pressure. Before the manual was used in the study, it was tested by volunteer patients and their doctors and caregivers to make sure that it is user-friendly.