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BackgroundMany strategies aimed at deprescribing benzodiazepine receptor agonists (BZRA) in older adults have already been evaluated with various success rates. There is so far no consensus on which strategy components increase deprescribing the most. Yet, despite an unfavourable benefit-to-risk ratio, BZRA use among older adults remains high. We systematically reviewed barriers and enablers for BZRA deprescribing in older adults.MethodsTwo reviewers independently screened records identified from five electronic databases—Medline, Embase, PsycINFO, CINAHL and the Cochrane library—and published before October 2020. They searched for grey literature using Google Scholar. Qualitative and quantitative records reporting data on the attitudes of older adults, caregivers and healthcare providers towards BZRA deprescribing were included. Populations at the end of life or with specific psychiatric illness, except for dementia, were excluded. The two reviewers independently assessed the quality of the included studies using the mixed-methods appraisal tool. Barriers and enablers were identified and then coded into domains of the theoretical domains framework (TDF) using a combination of deductive and inductive qualitative analysis. The most relevant TDF domains for BZRA deprescribing were then identified.ResultsTwenty-three studies were included 13 quantitative, 8 qualitative and 2 mixed-method studies. The points of view of older adults, general practitioners and nurses were reported in 19, 9 and 3 records, respectively. We identified barriers and enablers in the majority of TDF domains and in two additional themes: “patient characteristics” and “BZRA prescribing patterns”. Overall, the most relevant TDF domains were “beliefs about capabilities”, “beliefs about consequences”, “environmental context and resources”, “intention”, “goals”, “social influences”, “memory, attention and decision processes”. Perceived barriers and enablers within domains differed across settings and across stakeholders.ConclusionThe relevant TDF domains we identified can now be linked to behavioural change techniques to help in the design of future strategies and health policies. Future studies should also assess barriers and enablers perceived by under-evaluated stakeholders (such as pharmacists, psychiatrists and health care professionals in the hospital setting).Trial registrationThis work was registered on PROSPERO under the title “Barriers and enablers to benzodiazepine receptor agonists deprescribing”. Registration number:CRD42020213035

Background identifying drug-related hospital admissions (DRAs) in older people is difficult. A standardised chart review procedure has recently been developed. It includes an adjudication team (physician and pharmacist) screening using 26 triggers and then performing causality assessment to determine whether an adverse drug event (ADE) occurred (secondary to an adverse drug reaction, overuse, misuse or underuse) and whether the ADE contributed to hospital admission (DRA). Objective to assess the performance of those triggers in detecting DRA. Design retrospective study using data from the OPERAM (OPtimising thERapy to prevent Avoidable hospital admissions in Multimorbid older people) trial. Settings four European medical centres. Subjects multimorbid (≥ 3 chronic medical conditions) older (≥ 70 years) inpatients with polypharmacy (≥ 5 chronic medications) were enrolled in the OPERAM trial (N = 2,008) and followed for 12 months. We included patients with ≥1 adjudicated hospitalisation during the follow-up. Methods the positive predictive value (PPV; number of DRAs identified by trigger/number of triggers) was calculated for each trigger and for the tool as a whole. Results of 1,235 hospitalisations adjudicated for 832 patients, 716 (58%) had at least one trigger; an ADE was identified in 673 (54%) and 518 (42%) were adjudicated as DRAs. The overall PPV of the trigger tool for detecting DRAs was 0.66 [0.62–0.69]. Conclusions this tool performs well for identifying DRAs in older people. Based on our results, a revised version of the tool was proposed but will require external validation before it can be incorporated into research and clinical practice.