Evidence-based Medication knowledge Brokers in Residential Aged CarE (EMBRACE): protocol for a helix-counterbalanced randomised controlled trial.

INTRODUCTION: Clinical practice guidelines recommend against the routine use of psychotropic medications in residential aged care facilities (RACFs). Knowledge brokers are individuals or groups who facilitate the transfer of knowledge into practice. The objective of this trial is to evaluate the effectiveness and cost-effectiveness of using knowledge brokers to translate Australia's new Clinical Practice Guidelines for the Appropriate Use of Psychotropic Medications in People Living with Dementia and in Residential Aged Care. METHODS AND ANALYSIS: The Evidence-based Medication knowledge Brokers in Residential Aged CarE (EMBRACE) trial is a helix-counterbalanced randomised controlled trial. The 12-month trial will be conducted in up to 19 RACFs operated by four Australian aged care provider organisations in Victoria, New South Wales, Western Australia and Queensland. RACFs will be randomised to receive three levels of implementation strategies (knowledge broker service, pharmacist-led quality use of medications education activities and distribution of the Guidelines and supporting materials) across three medication contexts (antipsychotics, benzodiazepines and antidepressants). Implementation strategies will be delivered by an embedded on-site aged care pharmacist working at a system level across each participating RACF. All RACFs will receive all implementation strategies simultaneously but for different medication contexts. The primary outcome will be a composite dichotomous measure of 6-month RACF-level concordance with Guideline recommendations and good practice statements among people using antipsychotics, benzodiazepines and antidepressants for changed behaviours. Secondary outcomes will include proportion of residents with Guideline concordant use of antipsychotics, benzodiazepines and antidepressants measured at the RACF-level and proportion of residents with psychotropic medication use, hospitalisation, falls, falls with injury, polypharmacy, quality of life, activities of daily living, medication incidents and behavioural incidents measured at the RACF-level. DISCUSSION: The EMBRACE trial investigates a novel guideline implementation strategy to improve the safe and effective use of psychotropic medications in RACFs. We anticipate that the findings will provide new information on the potential role of knowledge brokers for successful and cost-effective guideline implementation. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12623001141639. Registered 6 November 2023 - retrospectively registered, https://www.anzctr.org.au/TrialSearch.aspx .

Addressing the gaps in evaluation of new drugs for older adults: Strategies from the International Union of Basic and Clinical Pharmacology (IUPHAR) Geriatric Committee.

The International Union of Basic and Clinical Pharmacology (IUPHAR) Geriatric Committee aims to improve the use of drugs in older adults and develop new therapeutic approaches for the syndromes and diseases of old age through advocacy, education, and research. In the present paper, we propose strategies relevant to drug development and evaluation, spanning preclinical and the full range of clinical studies. Drugs for older adults need to consider not only age, but also other characteristics common in geriatric patients, such as multimorbidity, polypharmacy, falls, cognitive impairment, and frailty. The IUPHAR Geriatric Committee's position statement on 'Measurement of Frailty in Drug Development and Evaluation' is included, highlighting 12 key principles that cover the spectrum of translational research. We propose that where older adults are likely to be major users of a drug, that frailty is measured at baseline and as an outcome. Preclinical models that replicate the age, frailty, duration of exposure, comorbidities, and co-medications of the proposed patients may improve translation. We highlight the potential application of recent technologies, such as physiologically based pharmacokinetic-pharmacodynamic modeling informed by frailty biology, and Artificial Intelligence, to inform personalized medicine for older patients. Considerations for the rapidly aging populations in low- and middle-income countries related to health-care and clinical trials are outlined. Involving older adults, their caregivers and health-care providers in all phases of research should improve drug development, evaluation, and outcomes for older adults internationally.

Cost-Consequence Analysis of Deprescribing to Optimize Health Outcomes for Frail Older People: A Within-Trial Analysis.

OBJECTIVES: The structured, clinically supervised withdrawal of medicines, known as deprescribing, is one strategy to address inappropriate polypharmacy. This study aimed to evaluate the costs and consequences of deprescribing in frail older people living in residential aged care facilities (RACFs) in Australia. DESIGN: A within-trial cost-consequence analysis of a deprescribing intervention-Opti-Med. The Opti-Med double-blind randomized controlled trial of deprescribing included 3 groups: blinded control, blinded intervention, and an open intervention group. SETTING AND PARTICIPANTS: Seventeen RACFs in Western Australia and New South Wales. Participants were 303 older people living in participating RACFs from March 2014 to February 2019. METHODS: Analysis was conducted from the health sector perspective. Health economic outcomes assessed include cost saved from deprescribed medicines and the incremental quality-adjusted life-years. Costs were presented in 2022 Australian dollars. RESULTS: The total cost of the Opti-Med intervention was $239.13 per participant. The costs saved through deprescribed medicines over 12 months after adjusting for mortality within the trial period was $328.90 per participant in the blinded intervention group and $164.00 per participant in the open intervention group. On average, the cost of the intervention was more than offset by the cost saved from deprescribed medicines. Extrapolating these findings to the Australian population suggests a potential net cost saving of about $1 to $16 million per annum for the health system nationally. The incremental quality-adjusted life-years were very similar across the 3 groups within the trial period. CONCLUSIONS AND IMPLICATIONS: Deprescribing for frail older people living in RACFs can be a cost-saving intervention without reducing the quality of life. Systemwide implementation of deprescribing across RACFs in Australia has the potential to improve health care delivery through the cost savings, which could be reapplied to further optimize care within RACFs.

The Drug Burden Index and Level of Frailty as Determinants of Healthcare Costs in a Cohort of Older Frail Adults in New Zealand.

OBJECTIVES: Frailty is common in older people and is associated with increased use of healthcare services and ongoing use of multiple medications. This study provides insights into the healthcare cost structure of a frail group of older adults in Aotearoa, New Zealand. Furthermore, we investigated the relationship between participants' anticholinergic and sedative medication burden and their total healthcare costs to explore the viability of deprescribing interventions within this cohort. METHODS: Healthcare cost analysis was conducted using data collected during a randomized controlled trial within a frail, older cohort. The collected information included participant demographics, medications used, frailty, cost of service use of aged residential care and outpatient hospital services, hospital admissions, and dispensed medications. RESULTS: Data from 338 study participants recruited between 25 September 2018 and 30 October 2020 with a mean age of 80 years were analyzed. The total cost of healthcare per participant ranged from New Zealand $15 (US dollar $10) to New Zealand $270 681 (US dollar $175 943) over 6 months postrecruitment into the study. Four individuals accounted for 26% of this cohort's total healthcare cost. We found frailty to be associated with increased healthcare costs, whereas the drug burden was only associated with increased pharmaceutical costs, not overall healthcare costs. CONCLUSIONS: With no relationship found between a patient's anticholinergic and sedative medication burden and their total healthcare costs, more research is required to understand how and where to unlock healthcare cost savings within frail, older populations.

Probing polypharmacy, ageing and sex effects on physical function using different tests.

BACKGROUND: Ageing, sex and polypharmacy affect physical function. OBJECTIVES: This mouse study investigates how ageing, sex and polypharmacy interact and affect grip strength, balance beam and wire hang, correlating and comparing the different test results between and within subgroups. METHODS: Young (2.5 months) and old (21.5 months) C57BL/6 J male and female mice (n = 10-6/group) were assessed for physical function at baseline on grip strength, balance beam and wire hang with three trials of 60 s (WH60s) and one trial of 300 s (WH300s). Mice were randomised to control or diet containing a high Drug Burden Index (DBI, total anticholinergic and sedative drug exposure) polypharmacy regimen (metoprolol, simvastatin, citalopram, oxycodone and oxybutynin at therapeutic oral doses). Following 6-8 weeks of treatment, mice were reassessed. RESULTS: High DBI polypharmacy and control mice both showed age group differences on all tests (p < 0.05). Only control mice showed sex differences, with females outperforming males on the WH60s and balance beam for old mice, WH300s for young mice (p < 0.05). Polypharmacy reduced grip strength in all subgroups (p < 0.05) and only in old females reduced wire hang time and cumulative behaviour and balance beam time and %walked (p < 0.05). Physical function assessments were all correlated with each other, with differences between subgroups (p < 0.05), and mice within subgroups showed interindividual variability in performance. CONCLUSION: Age, sex and polypharmacy have variable effects on different tests, and behavioural measures are useful adjuvants to assessing performance. There was considerable within-group variability in change in measures over time. These findings can inform design and sample size of future studies.

Association of the Drug Burden Index (DBI) exposure with outcomes: A systematic review.

BACKGROUND: The Drug Burden Index (DBI) measures an individual's total exposure to anticholinergic and sedative medications. This systematic review aimed to investigate the association of the DBI with clinical and prescribing outcomes in observational pharmaco-epidemiological studies, and the effect of DBI exposure on functional outcomes in pre-clinical models. METHODS: A systematic search of nine electronic databases, citation indexes and gray literature was performed (April 1, 2007-December 31, 2022). Studies that reported primary data on the association of the DBI with clinical or prescribing outcomes conducted in any setting in humans aged ≥18 years or animals were included. Quality assessment was performed using the Joanna Briggs Institute critical appraisal tools and the Systematic Review Centre for Laboratory animal Experimentation risk of bias tool. RESULTS: Of 2382 studies screened, 70 met the inclusion criteria (65 in humans, five in animals). In humans, outcomes reported included function (n = 56), cognition (n = 20), falls (n = 14), frailty (n = 7), mortality (n = 9), quality of life (n = 8), hospitalization (n = 7), length of stay (n = 5), readmission (n = 1), other clinical outcomes (n = 15) and prescribing outcomes (n = 2). A higher DBI was significantly associated with increased falls (11/14, 71%), poorer function (31/56, 55%), and cognition (11/20, 55%) related outcomes. Narrative synthesis was used due to significant heterogeneity in the study population, setting, study type, definition of DBI, and outcome measures. Results could not be pooled due to heterogeneity. In animals, outcomes reported included function (n = 18), frailty (n = 2), and mortality (n = 1). In pre-clinical studies, a higher DBI caused poorer function and frailty. CONCLUSIONS: A higher DBI may be associated with an increased risk of falls and decreased function and cognition. Higher DBI was inconsistently associated with increased mortality, length of stay, frailty, hospitalization or reduced quality of life. Human observational findings with respect to functional outcomes are supported by preclinical interventional studies. The DBI may be used as a tool to identify older adults at higher risk of harm.

Frailty and Associated Environmental Factors Only Have Small Effects on Age of Onset in Huntington's Disease.

BACKGROUND: Over one third of age of onset variation in Huntington's disease is unexplained by CAG repeat length. In Alzheimer's disease, frailty partly modulates the relationship between neuropathology and dementia. OBJECTIVE: We investigated whether a multi-domain frailty index, reflecting non-genetic factors in Huntington's disease, similarly modulates the relationship between CAG repeat length and age of onset. METHODS: We created a frailty index assessing comorbidities, substance abuse, polypharmacy, and education. We applied multiple linear regression models to 2,741 subjects with manifest Huntington's disease from the Enroll-HD cohort study, including 729 subjects with late-onset (post-60 years) disease, using frailty index or constituent item scores and CAG repeat length as independent variables. We used actual and "residual" ages of onset (difference between actual and CAG-based predicted onset) as dependent variables, the latter offsetting the increased time available to accumulate comorbidities in older subjects. RESULTS: Higher frailty index scores were associated with significantly lower residual ages of onset in the late-onset subgroup (p = 0.03), though the effect was small (R2 = 0.27 with frailty as a predictor vs. 0.26 without). Number of comorbidities was also associated with significantly lower residual ages of onset in the late-onset subgroup (p = 0.04). Drug abuse and smoking were associated with significantly earlier ages of onset in the whole cohort (p < 0.01, p = 0.02) and late-onset subgroup (p < 0.01, p = 0.03). CONCLUSIONS: The impact of non-genetic factors on age of onset, assessed using a frailty index or separately, in Huntington's disease is limited.

Evaluation of the Prescribing Skills Assessment implementation, performance and medical student experience in Australia and New Zealand.

AIMS: The UK Prescribing Safety Assessment was modified for use in Australia and New Zealand (ANZ) as the Prescribing Skills Assessment (PSA). We investigated the implementation, student performance and acceptability of the ANZ PSA for final-year medical students. METHODS: This study used a mixed-method approach involving student data (n = 6440) for 2017-2019 (PSA overall score and 8 domain subscores). Data were also aggregated by medical school and included student evaluation survey results. Quantitative data were analysed using descriptive and multivariate analyses. The pass rate was established by a modified Angoff method. Thematic analyses of open-ended survey comments were conducted. RESULTS: The average pass rate was slightly higher in 2017 (89%) which used a different examination to 2018 (85%) and 2019 (86%). Little difference was identified between schools for the PSA overall performance or domain subscores. There was low intercorrelation between subscores. Most students provided positive feedback about the PSA regarding the interface and clarity of questions, but an average of 35% reported insufficient time for completion. Further, 70% on average felt unprepared by their school curricula for the PSA, which is in part explained by the low prescribing experience; 69% reported completing ≤10 prescriptions during training. CONCLUSION: The ANZ PSA was associated with high pass rates and acceptability, although student preparedness was highlighted as a concern for further investigation. We demonstrate how a collaboration of medical schools can adapt a medical education assessment resource (UK PSA) as a means for fulfilling an unmet need.

Post Hoc Analyses of a Randomized Controlled Trial for the Effect of Pharmacist Deprescribing Intervention on the Anticholinergic Burden in Frail Community-Dwelling Older Adults.

OBJECTIVES: Anticholinergic burden is detrimental to cognitive health. Multiple studies found that a high anticholinergic burden is associated with an increased risk for dementia, changes to the brain structure, function, and cognitive decline. We performed a post hoc analysis of a randomized controlled deprescribing trial. We compared the effect of the intervention on baseline anticholinergic burden across the treatment and control groups and the time of recruitment before and after a lockdown due to the COVID pandemic with subgroup analyses by baseline frailty index. DESIGN: Randomized controlled trial. SETTINGS AND PARTICIPANTS: We analyzed data from a de-prescribing trial of older adults (>65 years) previously conducted in New Zealand that was focused on reducing the Drug Burden Index (DBI). METHODS: We used the anticholinergic cognitive burden (ACB) to quantify the impact of the intervention on reducing the anticholinergic burden. Participants not taking anticholinergics at the start of the trial were excluded. The primary outcome for this subgroup analysis was a change in ACB, measured with the gHedges statistic describing the difference in standard deviation units of this change between intervention and control. For this analysis, the trial participants were stratified into low, medium, and high frailty and timing into prior- and post-lockdown (public health measures for COVID-19). RESULTS: Among the 295 participants in this analysis, the median (IQR) age was 79 (74, 85), and 67% were women. For the primary outcome gHedges = -0.04 (95% CI -0.26 to 0.19) with a -0.23 mean reduction in ACB in the intervention arm and -0.19 in the control arm. Before lockdown gHedges = -0.38 (95% CI -0.84 to 0.04) and post-lockdown gHedges = 0.07 (95% CI -0.19 to 0.33). The mean change in ACB for each of the frailty strata was as follows: low frailty (-0.02; 95% CI -0.65 to 0.18); medium frailty (0.05; 95% CI -0.28 to 0.38); high frailty (0.08; 95% CI -0.40 to 0.56). CONCLUSIONS AND IMPLICATIONS: The study did not provide evidence for the effect of pharmacist deprescribing intervention on reducing the anticholinergic burden. However, this post hoc analysis examined the impact of COVID on the effectiveness of the intervention, and further research in this area may be warranted.

Deprescribing to optimise health outcomes for frail older people: a double-blind placebo-controlled randomised controlled trial-outcomes of the Opti-med study.

BACKGROUND: potentially harmful polypharmacy is very common in older people living in aged care facilities. To date, there have been no double-blind randomised controlled studies of deprescribing multiple medications. METHODS: three-arm (open intervention, blinded intervention and blinded control) randomised controlled trial enrolling people aged over 65 years (n = 303, noting pre-specified recruitment target of n = 954) living in residential aged care facilities. The blinded groups had medications targeted for deprescribing encapsulated while the medicines were deprescribed (blind intervention) or continued (blind control). A third open intervention arm had unblinded deprescribing of targeted medications. RESULTS: participants were 76% female with mean age 85.0 ± 7.5 years. Deprescribing was associated with a significant reduction in the total number of medicines used per participant over 12 months in both intervention groups (blind intervention group -2.7 medicines, 95% CI -3.5, -1.9, and open intervention group -2.3 medicines; 95% CI -3.1, -1.4) compared with the control group (-0.3, 95% CI -1.0, 0.4, P = 0.053). Deprescribing regular medicines was not associated with any significant increase in the number of 'when required' medicines administered. There were no significant differences in mortality in the blind intervention group (HR 0.93, 95% CI 0.50, 1.73, P = 0.83) or the open intervention group (HR 1.47, 95% CI 0.83, 2.61, P = 0.19) compared to the control group. CONCLUSIONS: deprescribing of two to three medicines per person was achieved with protocol-based deprescribing during this study. Pre-specified recruitment targets were not met, so the impact of deprescribing on survival and other clinical outcomes remains uncertain.

Optimising Medications in Older Vascular Surgery Patients Through Geriatric Co-management.

BACKGROUND: Prescribing of potentially inappropriate medications and under-prescribing of guideline-recommended medications for cardiovascular risk modification have both been associated with negative outcomes in older adults. Hospitalisation represents an important opportunity to optimise medication use and may be achieved through geriatrician-led interventions. OBJECTIVE: We aimed to evaluate whether implementation of a novel model of care called Geriatric Comanagement of older Vascular (GeriCO-V) surgery patients is associated with improvements in medication prescribing. METHODS: We used a prospective pre-post study design. The intervention was a geriatric co-management model, where a geriatrician delivered comprehensive geriatric assessment-based interventions including a routine medication review. We included consecutively admitted patients to the vascular surgery unit at a tertiary academic centre aged ≥ 65 years with an expected length of stay of ≥ 2 days and who were discharged from hospital. Outcomes of interest were the prevalence of at least one potentially inappropriate medication as defined by the Beers Criteria at admission and discharge, and rates of cessation of at least one potentially inappropriate medication present on admission. In the subgroup of patients with peripheral arterial disease, the prevalence of guideline-recommended medications on discharge was determined. RESULTS: There were 137 patients in the pre-intervention group (median [interquartile range] age: 80.0 [74.0-85.0] years, 83 [60.6%] with peripheral arterial disease) and 132 patients in the post-intervention group (median [interquartile range] age: 79.0 (73.0-84.0) years, 75 [56.8%] with peripheral arterial disease). There was no change in the prevalence of potentially inappropriate medication use from admission to discharge in either group (pre-intervention: 74.5% on admission vs 75.2% on discharge; post-intervention: 72.0% vs 72.7%, p = 0.65). Forty-five percent of pre-intervention group patients had at least one potentially inappropriate medication present on admission ceased, compared with 36% of post-intervention group patients (p = 0.11). A higher number of patients with peripheral arterial disease in the post-intervention group were discharged on antiplatelet agent therapy (63 [84.0%] vs 53 [63.9%], p = 0.004) and lipid-lowering therapy (58 [77.3%] vs 55 [66.3%], p = 0.12). CONCLUSIONS: Geriatric co-management was associated with an improvement in guideline-recommended antiplatelet agent prescribing aimed at cardiovascular risk modification for older vascular surgery patients. The prevalence of potentially inappropriate medications was high in this population, and was not reduced with geriatric co-management.

Towards Optimizing Hospitalized Older adults' MEdications (TO HOME): Multi-centre study of medication use and outcomes in routine care.

AIMS: Comprehensively investigate prescribing in usual care of hospitalized older people with respect to polypharmacy; potentially inappropriate medications (PIMs) according to Beers criteria; and cumulative anticholinergic and sedative medication exposure calculated with Drug Burden Index (DBI). Specifically, to quantify exposure to these measures on admission, changes between admission and discharge, associations with adverse outcomes and medication costs. METHODS: Established new retrospective inpatient cohort of 2000 adults aged ≥75 years, consecutively admitted to 6 hospitals in Sydney, Australia, with detailed information on medications, clinical characteristics and outcomes. Conducted cross-sectional analyses of index admission data from cohort. RESULTS: Cohort had mean (standard deviation) age 86.0 (5.8) years, 59% female, 21% from residential aged care. On admission, prevalence of polypharmacy was 77%, PIMs 34% and DBI > 0 in 53%. From admission to discharge, mean difference (95% confidence interval) in total number of medications increased 1.05 (0.92, 1.18); while prevalence of exposure to PIMs (-3.8% [-5.4, -2.1]) and mean DBI score (-0.02 [-0.04, -0.01]) decreased. PIMs and DBI score were associated with increased risks (adjusted odds ratio [95% confidence interval]) of falls (PIMs 1.63 [1.28, 2.08]; DBI score 1.21[1.00, 1.46]) and delirium (PIMs 1.76 [1.38, 1.46]; DBI score 1.42 [1.19, 1.71]). Each measure was associated with increased risk of adverse drug reactions (polypharmacy 1.42 [1.19, 1.71]; PIMs 1.87 [1.40, 2.49]; DBI score 1.90 [1.55, 2.15]). Cost (AU$/patient/hospital day) of medications contributing to PIMs and DBI was low ($0.29 and $0.88). CONCLUSION: In this large cohort of older inpatients, usual hospital care results in an increase in number of medications and small reductions in PIMs and DBI, with variable associations with adverse outcomes.

Deprescribing Anticholinergic and Sedative Drugs to Reduce Polypharmacy in Frail Older Adults Living in the Community: A Randomized Controlled Trial.

BACKGROUND: Polypharmacy is associated with poor outcomes in older adults. Targeted deprescribing of anticholinergic and sedative medications may improve health outcomes for frail older adults. Our pharmacist-led deprescribing intervention was a pragmatic 2-arm randomized controlled trial stratified by frailty. We compared usual care (control) with the intervention of pharmacists providing deprescribing recommendations to general practitioners. METHODS: Community-based older adults (≥65 years) from 2 New Zealand district health boards were recruited following a standardized interRAI needs assessment. The Drug Burden Index (DBI) was used to quantify the use of sedative and anticholinergic medications for each participant. The trial was stratified into low, medium, and high-frailty. We hypothesized that the intervention would increase the proportion of participants with a reduction in DBI ≥ 0.5 within 6 months. RESULTS: Of 363 participants, 21 (12.7%) in the control group and 21 (12.2%) in the intervention group had a reduction in DBI ≥ 0.5. The difference in the proportion of -0.4% (95% confidence interval [CI]: -7.9% to 7.0%) provided no evidence of efficacy for the intervention. Similarly, there was no evidence to suggest the effectiveness of this intervention for participants of any frailty level. CONCLUSION: Our pharmacist-led medication review of frail older participants did not reduce the anticholinergic/sedative load within 6 months. Coronavirus disease 2019 (COVID-19) lockdown measures required modification of the intervention. Subgroup analyses pre- and post-lockdown showed no impact on outcomes. Reviewing this and other deprescribing trials through the lens of implementation science may aid an understanding of the contextual determinants preventing or enabling successful deprescribing implementation strategies.

Consumer and Healthcare Professional Led Priority Setting for Quality Use of Medicines in People with Dementia: Gathering Unanswered Research Questions.

BACKGROUND: Historically, research questions have been posed by the pharmaceutical industry or researchers, with little involvement of consumers and healthcare professionals. OBJECTIVE: To determine what questions about medicine use are important to people living with dementia and their care team and whether they have been previously answered by research. METHODS: The James Lind Alliance Priority Setting Partnership process was followed. A national Australian qualitative survey on medicine use in people living with dementia was conducted with consumers (people living with dementia and their carers including family, and friends) and healthcare professionals. Survey findings were supplemented with key informant interviews and relevant published documents (identified by the research team). Conventional content analysis was used to generate summary questions. Finally, evidence checking was conducted to determine if the summary questions were 'unanswered'. RESULTS: A total of 545 questions were submitted by 228 survey participants (151 consumers and 77 healthcare professionals). Eight interviews were conducted with key informants and four relevant published documents were identified and reviewed. Overall, analysis resulted in 68 research questions, grouped into 13 themes. Themes with the greatest number of questions were related to co-morbidities, adverse drug reactions, treatment of dementia, and polypharmacy. Evidence checking resulted in 67 unanswered questions. CONCLUSION: A wide variety of unanswered research questions were identified. Addressing unanswered research questions identified by consumers and healthcare professionals through this process will ensure that areas of priority are targeted in future research to achieve optimal health outcomes through quality use of medicines.

Deprescribing for older people living in residential aged care facilities: Pharmacist recommendations, doctor acceptance and implementation.

BACKGROUND: Deprescribing is an intervention to address the high prevalence of inappropriate polypharmacy in older people living in residential aged care facilities (RACFs). Many deprescribing interventions are complex and involve several stages including initial pharmacist recommendation, subsequent acceptance of the recommendations by a prescriber and the patient, and then actual implementation. OBJECTIVES: This study aimed to investigate pharmacist deprescribing recommendations for residents within RACFs, general practitioner (GP) acceptance, and the actual implementation of the accepted recommendations at 12-month. METHODS: The intervention occurred as part of a randomised controlled trial and comprised a pharmacist-led medication review using an evidence-based algorithm, with the focus on identifying medications to potentially deprescribe. Consent to participate was obtained from residents (or surrogate decision-makers), RACF nursing staff and the resident's GP. Deprescribing recommendations were reviewed by GPs before implementation as part of the intervention and control arms of the trial, although control group participants continued to receive their usual medications in a blinded manner. RESULTS: There were 303 participants enrolled in the study, and 77% (941/1222) of deprescribing recommendations suggested by the pharmacists were accepted by GPs. Of the recommendations accepted by GPs, 74% (692/ 941) were successfully implemented at the end of the follow-up visit at 12 months. The most common reason for deprescribing was because medications were no longer needed (42%, 513/ 1231). CONCLUSION: Pharmacist-led deprescribing recommendations arising from an algorithm-based medication review are acceptable to doctors and can have a significant impact on reducing the number of inappropriate medications consumed by older people in RACFs. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12613001204730.

Patient-reported experience measures in deprescribing for hospitalised older patients: a prospective, multicentre, observational study.

BACKGROUND: Hospitalisation provides an opportunity for medication review and deprescribing. Patient-reported experience measures (PREM) for deprescribing in older patients in hospital are not well described. AIMS: To pilot test and describe PREM for deprescribing in older patients, compare PREM by patient characteristics and investigate patients' awareness of medication changes on hospital discharge. METHODS: This prospective, multicentre, observational cohort study at two tertiary hospitals in Sydney, Australia, evaluated the PREM questionnaire developed by the NSW Therapeutic Advisory Group. It was completed by patients (or their next of kin) recruited from acute geriatric medicine and orthogeriatric services. Association with nine patient characteristics was analysed using the Chi-squared test and multivariable regression. Awareness of medication changes and test-retest reliability were analysed using descriptive statistics. RESULTS: Overall, 201 participants completed the questionnaire, with 170 eligible for analysis; 34 (20%) of 170 were aware of reduction or cessation of their usual medications on discharge and reported involvement in decision-making and receiving enough information to reduce or stop one or more of their usual medications (positive PREM). Independent predictors of positive PREM included respondent (next of kin), hospital (Hospital 1), language (English) and specialty (acute geriatric medicine). Overall, 92 (59.4%) of 155 patients with medication changes were aware of those changes on hospital discharge. CONCLUSIONS: These PREM are a feasible tool to examine older patients' experiences of deprescribing in hospital and might be applied to evaluate interventions to improve awareness, shared decision-making and provision of information when deprescribing for older patients.

Polypharmacy With High Drug Burden Index (DBI) Alters the Gut Microbiome Overriding Aging Effects and Is Reversible With Deprescribing.

Aging, medication use, and global function are associated with changes in the microbiome. However, their interrelationships and changes over time require further characterization. In a longitudinal aging mouse study, we investigated the effects of aging, chronic polypharmacy with a high Drug Burden Index (DBI, measure of total anticholinergic and sedative medication exposure) and gradual cessation (deprescribing) on the microbiome, further exploring any association with global outcomes. Chronic administration of high DBI polypharmacy attenuated the aging-related reduction in alpha diversity, which was not sustained after deprescribing. Beta diversity and LEfSe (Linear discriminant analysis Effect Size) features varied with age, polypharmacy, and deprescribing. Aging with and without polypharmacy shared decreases in Bifidobacteriaceae, Paraprevotellaceae, Bacteroidaceae, and Clostridiaceae, while only aging with polypharmacy showed increased LEfSe features. Microbiome diversity correlated with frailty, nesting, and open field performance. Polypharmacy deprescribing reversed changes that occurred with treatment. However, the microbiome did not recover to its pretreatment composition at 12 months, nor develop the same aging-related changes from 12 to 24 months as the control group. Overall, aging, chronic polypharmacy, and deprescribing differentially affected the diversity and composition of the gut microbiome, which is associated with frailty and function.

Polypharmacy and precision medicine.

Precision medicine is an approach to maximise the effectiveness of disease treatment and prevention and minimise harm from medications by considering relevant demographic, clinical, genomic and environmental factors in making treatment decisions. Precision medicine is complex, even for decisions about single drugs for single diseases, as it requires expert consideration of multiple measurable factors that affect pharmacokinetics and pharmacodynamics, and many patient-specific variables. Given the increasing number of patients with multiple conditions and medications, there is a need to apply lessons learned from precision medicine in monotherapy and single disease management to optimise polypharmacy. However, precision medicine for optimisation of polypharmacy is particularly challenging because of the vast number of interacting factors that influence drug use and response. In this narrative review, we aim to provide and apply the latest research findings to achieve precision medicine in the context of polypharmacy. Specifically, this review aims to (1) summarise challenges in achieving precision medicine specific to polypharmacy; (2) synthesise the current approaches to precision medicine in polypharmacy; (3) provide a summary of the literature in the field of prediction of unknown drug-drug interactions (DDI) and (4) propose a novel approach to provide precision medicine for patients with polypharmacy. For our proposed model to be implemented in routine clinical practice, a comprehensive intervention bundle needs to be integrated into the electronic medical record using bioinformatic approaches on a wide range of data to predict the effects of polypharmacy regimens on an individual. In addition, clinicians need to be trained to interpret the results of data from sources including pharmacogenomic testing, DDI prediction and physiological-pharmacokinetic-pharmacodynamic modelling to inform their medication reviews. Future studies are needed to evaluate the efficacy of this model and to test generalisability so that it can be implemented at scale, aiming to improve outcomes in people with polypharmacy.

N-of-1 trials to facilitate evidence-based deprescribing: Rationale and case study.

Deprescribing has emerged as an important aspect of patient-centred medication management but is vastly underutilized in clinical practice. The current narrative review will describe an innovative patient-centred approach to deprescribing-N-of-1 trials. N-of-1 trials involve multiple-period crossover design experiments conducted within individual patients. They enable patients to compare the effects of two or more treatments or, in the case of deprescribing N-of-1 trials, continuation with a current treatment versus no treatment or placebo. N-of-1 trials are distinct from traditional between-patient studies such as parallel-group or crossover designs which provide an average effect across a group of patients and obscure differences between individuals. By generating data on the effect of an intervention for the individual rather than the population, N-of-1 trials can promote therapeutic precision. N-of-1 trials are a particularly appealing strategy to inform deprescribing because they can generate individual-level evidence for deprescribing when evidence is uncertain, and can thus allay patient and physician concerns about discontinuing medications. To illustrate the use of deprescribing N-of-1 trials, we share a case example of an ongoing series of N-of-1 trials that compare maintenance versus deprescribing of beta-blockers in patients with heart failure with preserved ejection fraction. By providing quantifiable data on patient-reported outcomes, promoting personalized pharmacotherapy, and facilitating shared decision making, N-of-1 trials represent a potentially transformative strategy to address polypharmacy.

Geriatric medicine and health care for older people in Australia.

Aged care coverage in Australia is universal but fragmented and has been challenged by government policy to deregulate aged care and open it up to market forces. A recent inquiry into aged care (Royal Commission into Aged Care Quality and Safety) documented the outcome of this policy-substandard care at most levels. The provision of services to older Aboriginal and Torres Strait Islander peoples, who have high prevalence of frailty and cognitive impairment, was also identified as inadequate. The effects of yet to be implemented changes in policy and funding in response to this report remain to be seen. Despite this policy backdrop, geriatricians have contributed to a steady growth in medical services and interventions focussed on specific geriatric issues such as dementia, falls, polypharmacy and orthogeriatrics. These are often driven by, or in collaboration with researchers, and aim to generate research data as well as provide patient care. The numbers of academic geriatricians and other aged care health professionals is increasing, and the training of specialist geriatricians now includes a significant research component.