Background: The cumulative effect of taking anticholinergic medicines (anticholinergic burden) is associated with adverse outcomes for older people. Prevalence of anticholinergic prescribing is increasing, and there is a need for tools to proactively identify at-risk patients for medication reviews. Aim: To explore the need for, and feasibility of, an integrated case-finding tool that predicts risks using electronic health records (EHRs), facilitating the review of anticholinergic medicines for frail older people. Methods: Mixed methods, adopting a pragmatic approach. A systematic review, prediction modelling of cohort study data, and qualitative interviews were undertaken. Results: The systematic review found anticholinergic exposure was associated with adverse outcomes for the frail; poorer physical function, falls, and mortality, indicating a need for a risk reducing intervention. In the prediction modelling study, predicting risks using composite measures of anticholinergic burden and frailty indicated limited feasibility. Neither enhanced the performance of best subset models using cohort study data. Their predictive utility needs to be investigated using EHR data, to determine their feasibility within primary care. The qualitative study found healthcare professionals needed a proactive tool, supporting risk prediction as a feasible approach. Factors influencing future implementation were; upskilling requirements, deprescribing confidence, patient reluctance, motivation, holistic care, interoperability, trust in risk prediction, remuneration, among other barriers and facilitators. Conclusions: Through identifying a need, and potential feasibility, foundations towards the future developments of a case-finding tool have been provided, informing an early tool prototype (AC-FRAIL). Recommendations for further work suggest a roadmap ahead, to maximise the potential for integrated solutions to proactively reduce anticholinergic risks. / NIHR Yorkshire and Humber Patient Safety Translational Research Centre (NIHR YHPSTRC)

Yes / Background: Anticholinergic medicines are associated with adverse outcomes for older people. However, little is known about their use in frailty. The objectives were to (1) investigate the prevalence of anticholinergic prescribing for older patients, and (2) examine anticholinergic burden according to frailty status. Methods: Cross-sectional analysis of Welsh primary care data from the Secure Anonymised Information Linkage (SAIL) databank including patients aged ≥65 at their first GP consultation between 1st January and 31st December 2018. Frailty was identified using the electronic Frailty Index (eFI) and anticholinergic burden using the Anticholinergic Cognitive Burden (ACB) scale. Descriptive analysis and logistic regression were conducted to 1) describe the type and frequency of anticholinergics prescribed; 2) to estimate the association between frailty and cumulative ACB score (ACB-Sum). Results: In this study of 529,095 patients, 47.4% of patients receiving any prescription medications were prescribed at least one anticholinergic medicine. Adjusted regression analysis showed that patients with increasing frailty had higher odds of having an ACB-Sum of >3 compared to patients who were fit (mild frailty, adj OR 1.062 (95%CI 1.061–1.064), moderate frailty, adj OR 1.134 (95%CI 1.131–1.136), severe frailty, adj OR 1.208 (95%CI 1.203–1.213)). Conclusions: Anticholinergic prescribing was high in this older population. Older people with advancing frailty are exposed to the highest anticholinergic burden despite being the most vulnerable to the associated adverse effects. Older people with advancing frailty should be considered for medicines review to prevent overaccumulation of anticholinergic medications given the risks of functional and cognitive decline that frailty presents. / NIHR / Research Development Fund Publication Prize Award winner, May 2023.