The Carer Assessment of MedicaTion Management GuidanCe for People With Dementia at Hospital Discharge (CATCH) Tool: Exploratory Factor Analysis.

PURPOSE: The Carer Assessment of medicaTion management guidanCe for people with dementia at Hospital discharge (CATCH) tool was developed to examine the carer's experiences of medication management guidance delivery at discharge. This study explored its factor structure, characterized carers' experiences at discharge, and identified predictors of carer preparedness to manage medications at discharge. METHODS: A cross-sectional survey of carers across Australia was distributed. Survey responses were analyzed descriptively, and exploratory factor and regression analyses were performed. RESULTS: A total of 185 survey responses were completed. Exploratory factor analysis revealed 2 factors in the CATCH tool: (1) shared and supported decision-making in medication management (16 items loading 0.47 to 0.93); 2) provision of medication management guidance that is easy to understand (4 items loading (0.48 to 0.82). Internal consistency was acceptable (Cronbach alpha >0.8). Almost 18% of participants stated that they were not included in decisions about medications for people with dementia. The carer reported that the measure of how guidance is provided was positively related to their confidence in the management of medications postdischarge and satisfaction ( P < 0.05 for both). CONCLUSIONS: The CATCH tool can give the patient and carer an opportunity to provide feedback on key elements of medication management guidance delivered at discharge.

Ageing and Polypharmacy in Mesenchymal Stromal Cells: Metabolic Impact Assessed by Hyperspectral Imaging of Autofluorescence.

The impact of age on mesenchymal stromal cell (MSC) characteristics has been well researched. However, increased age is concomitant with increased prevalence of polypharmacy. This adjustable factor may have further implications for the functionality of MSCs and the effectiveness of autologous MSC procedures. We applied hyperspectral microscopy of cell autofluorescence-a non-invasive imaging technique used to characterise cytometabolic heterogeneity-to identify changes in the autofluorescence signals of MSCs from (1) young mice, (2) old mice, (3) young mice randomised to receive polypharmacy (9-10 weeks of oral therapeutic doses of simvastatin, metoprolol, oxycodone, oxybutynin and citalopram), and (4) old mice randomised to receive polypharmacy. Principal Component Analysis and Logistic Regression Analysis were used to assess alterations in spectral and associated metabolic characteristics. Modelling demonstrated that cells from young mice receiving polypharmacy had less NAD(P)H and increased porphyrin relative to cells from old control mice, allowing for effective separation of the two groups (AUC of ROC curve > 0.94). Similarly, cells from old polypharmacy mice were accurately separated from those from young controls due to lower levels of NAD(P)H (p < 0.001) and higher porphyrin (p < 0.001), allowing for an extremely accurate logistic regression (AUC of ROC curve = 0.99). This polypharmacy regimen may have a more profound impact on MSCs than ageing, and can simultaneously reduce optical redox ratio (ORR) and increase porphyrin levels. This has implications for the use of autologous MSCs for older patients with chronic disease.

Deprescribing antihypertensive drugs in frail older adults.

Antihypertensive drugs are commonly used by older adults because of the high prevalence of cardiovascular disease and its risk factors, and the increased absolute benefit of blood pressure reduction with increasing age. Clinical trials of blood pressure reduction in older adults have generally excluded older adults with multimorbidity, frailty and limited life expectancy. In this population, the benefit-harm ratio of aggressive blood pressure lowering may become unfavourable; a more relaxed blood pressure target may be appropriate; and deprescribing (cessation or dose reduction) of one or more antihypertensive drugs can be considered. Before deprescribing an antihypertensive drug, it is important to consider other indications for which it may have been prescribed (e.g. heart failure with reduced ejection fraction, diabetic nephropathy, atrial fibrillation). Evidence from randomised controlled deprescribing trials indicates that it is possible to deprescribe antihypertensives in frail older people. However, some patients may experience an increase in blood pressure that warrants restarting the drug. There are limited data on long-term outcomes (follow-up in deprescribing trials ranged from 4 to 56 weeks). The risk of adverse outcomes associated with deprescribing, such as withdrawal effects, can be minimised through appropriate planning, patient engagement, dose tapering and monitoring.

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.

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.

Prescribing patterns of fall risk-increasing drugs in older adults hospitalized for heart failure.

BACKGROUND: Older adults hospitalized for heart failure (HF) are at risk for falls after discharge. One modifiable contributor to falls is fall risk-increasing drugs (FRIDs). However, the prevalence of FRIDs among older adults hospitalized for HF is unknown. We describe patterns of FRIDs use and examine predictors of a high FRID burden. METHODS: We used the national biracial REasons for Geographic and Racial Differences in Stroke (REGARDS) study, a prospective cohort recruited from 2003-2007. We included REGARDS participants aged ≥ 65 years discharged alive after a HF hospitalization from 2003-2017. We determined FRIDs -cardiovascular (CV) and non-cardiovascular (non-CV) medications - at admission and discharge from chart abstraction of HF hospitalizations. We examined the predictors of a high FRID burden at discharge via modified Poisson regression with robust standard errors. RESULTS: Among 1147 participants (46.5% women, mean age 77.6 years) hospitalized at 676 hospitals, 94% were taking at least 1 FRID at admission and 99% were prescribed at least 1 FRID at discharge. The prevalence of CV FRIDs was 92% at admission and 98% at discharge, and the prevalence of non-CV FRIDs was 32% at admission and discharge. The most common CV FRID at admission (88%) and discharge (93%) were antihypertensives; the most common agents were beta blockers (61% at admission, 75% at discharge), angiotensin-converting enzyme inhibitors (36% vs. 42%), and calcium channel blockers (32% vs. 28%). Loop diuretics had the greatest change in prevalence (53% vs. 72%). More than half of the cohort (54%) had a high FRID burden (Agency for Healthcare Research and Quality (AHRQ) score ≥ 6), indicating high falls risk after discharge. In a multivariable Poisson regression analysis, the factors strongly associated with a high FRID burden at discharge included hypertension (PR: 1.41, 95% CI: 1.20, 1.65), mood disorder (PR: 1.24, 95% CI: 1.10, 1.38), and hyperpolypharmacy (PR: 1.88, 95% CI: 1.64, 2.14). CONCLUSIONS: FRID use was nearly universal among older adults hospitalized for HF; more than half had a high FRID burden at discharge. Further work is needed to guide the management of a common clinical conundrum whereby guideline indications for treating HF may contribute to an increased risk for falls.

Preferences for deprescribing antihypertensive medications amongst clinicians, carers and people living with dementia: a discrete choice experiment.

BACKGROUND: Optimal management of hypertension in people with dementia may involve deprescribing antihypertensives. Understanding differing treatment priorities is important to enable patient-centred care. This study explored preferences for antihypertensive deprescribing amongst people living with dementia, carers and clinicians. METHODS: Discrete choice experiments (DCEs) are a stated preference survey method, underpinned by economic theory. A DCE was conducted, and respondents completed 12 labelled choice-questions, each presenting a status quo (continuing antihypertensives) and antihypertensive deprescribing option. The questions included six attributes, including pill burden, and event risks for stroke, myocardial infarction, increased blood pressure, cognitive decline, falls. RESULTS: Overall, 112 respondents (33 carers, 19 people living with dementia, and 60 clinicians) completed the survey. For people with dementia, lower pill burden increased preferences for deprescribing (odds ratio (OR) 1.95, 95% confidence interval (95% CI) 1.08-3.52). Increased stroke risk (for each additional person out of 100 having a stroke) decreased the likelihood of deprescribing for geriatricians (OR 0.71, 95% CI 0.55-0.92) and non-geriatrician clinicians (OR 0.62, 95% CI 0.45-0.86), and carers (OR 0.71, 95% CI 0.58-0.88). Increased myocardial infarction risk decreased preferences for deprescribing for non-geriatricians (OR 0.81, 95% CI 0.69-0.95) and carers (OR 0.84, 95% CI 0.73-0.98). Avoiding cognitive decline increased preferences for deprescribing for geriatricians (OR 1.17, 95% CI 1.03-1.33) and carers (OR 1.27, 95% CI 1.09-1.48). Avoiding falls increased preferences for deprescribing for clinicians (geriatricians (OR 1.20, 95% CI 1.11-1.29); non-geriatricians (OR 1.16, 95% CI 1.07-1.25)). Other attributes did not significantly influence respondent preferences. CONCLUSIONS: Antihypertensive deprescribing preferences differ amongst people with dementia, carers and clinicians. The study emphasises the importance of shared decision-making within the deprescribing process.

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.

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.

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.

New horizons in the perioperative care of older adults.

Older adults undergoing surgery have high perioperative morbidity and mortality. Age-related physiological changes and prevalence of geriatric syndromes such as frailty increase the risk of adverse postoperative outcomes. Geriatricians utilise comprehensive geriatric assessment (CGA) and management to identify and manage geriatric syndromes, and deliver patient-centred perioperative care. Perioperative models of CGA are established for older patients undergoing hip fracture surgery. Recent trials support the benefits of perioperative models of CGA for non-orthopaedic surgery, and have influenced current care recommendations for older surgical patients. Areas for further action include addressing the implementation gap between recommended evidence-based perioperative care and routine perioperative care, evaluating the clinical and cost-effectiveness of perioperative models of CGA for patients living with frailty, and embedding routine use of patient-reported outcome measures to inform quality improvement.

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.

Perspectives of residents on shared decision making in medication management: A qualitative study.

OBJECTIVES: Shared decision making is the process in which the person, their representative, and health care professional share information with each other, participate in the decision-making process, and agree on a course of action. At present, very little is known about shared decision making (SDM) in medication management from the perspective of long-term care facility residents. The objective of this study was to identify residents' beliefs, motivation, and aspects of the environment that facilitate or impede SDM. DESIGN: A qualitative study was conducted using face-to-face semi-structured interviews, and data analysis was carried out using a thematic approach. SETTING: Six long-term care facilities in Sydney, Australia. PARTICIPANTS: Thirty-one residents. RESULTS: Enablers to resident involvement in SDM were resident beliefs in exercising their right to take part in medication-related decisions, preference to maintain control over decisions, and motivation to raise concern about medication. Residents were not motivated to be involved in SDM if they believed they had no control over life circumstance, perceived that medications were necessary, or experienced no problems with their medications. Participation in SDM was hindered by limitations in opportunities for resident involvement, engagement with staff and primary care physician to discuss issues related to medications, and continuity of care with their regular physician. CONCLUSION: This study highlights that the residents' beliefs in control over decisions and concerns about medication are a significant function of the SDM process. It is important that residents are given the choice to take part in SDM, their beliefs and values regarding SDM are understood, and the culture of the care facility respects residents' right to participate in SDM.

The anticholinergic burden: from research to practice.

Drugs with anticholinergic effects are known to cause adverse effects such as dry mouth, constipation and urinary retention. In older people drugs with anticholinergic effects may contribute to cognitive decline and a loss of functional capacity. Many drugs that are not in the anticholinergic drug class also have anticholinergic effects. They include antidepressants, antipsychotics and antihistamines. Taking multiple drugs with anticholinergic effects creates an anticholinergic burden. It is important that clinicians identify which patients are at risk. There are several tools to assess the anticholinergic burden. Clinicians can use these tools to make a pharmacological risk assessment when reviewing a patient's medicines. This can assist decisions about continuing or stopping drugs with anticholinergic effects. Deprescribing drugs with anticholinergic effects has several potential benefits in older people. In addition to reversing adverse effects, deprescribing may prevent problems such as falls.

Impact of the Goal-directed Medication Review Electronic Decision Support System on Drug Burden Index: A cluster-randomised clinical trial in primary care.

AIMS: The Goal-directed Medication Review Electronic Decision Support System (G-MEDSS) assesses and reports a patient's goals, attitudes to deprescribing and Drug Burden Index (DBI) score, a measure of cumulative exposure to anticholinergic and sedative medications. This study evaluated the effect of implementing G-MEDSS in home medicines reviews (HMRs) on DBI exposure and clinical outcomes. METHODS: A cluster-randomised clinical trial was performed across Australia. Accredited clinical pharmacists were randomised into intervention (G-MEDSS with usual care HMR) or comparison groups (usual care HMR alone). Patients were recruited by pharmacists from those routinely referred by general practitioners for HMR. The primary outcome was the proportion of patients with any reduction in DBI at 3-months follow-up. Secondary outcomes included change in DBI continuous score at 3-months, HMR recommendations to change DBI and clinical outcomes. RESULTS: There were 201 patient participants at baseline (n = 88 intervention, n = 113 comparison), with 159 followed-up at 3-months (n = 63 intervention, n = 96 comparison). The proportion of patients with a reduction in DBI was not significantly different at 3-months (intervention 17%, comparison 11%; adjusted odds ratio 1.44, 95% confidence interval 0.56-3.80). Regarding secondary outcomes, there was no difference in change in DBI score at 3-months. However, the HMR report made recommendations to reduce DBI for a significantly greater proportion of patients in the intervention than in the comparison group (intervention 37%, comparison 14%; adjusted odds ratio 3.20, 95% confidence interval 1.50-6.90). No changes were observed in clinical outcomes. CONCLUSION: Implementation of G-MEDSS within HMR did not reduce patients' DBI at 3 months compared with usual care HMR.

Understanding the Role and Value of Process Quality Indicators in Older Vascular Surgery Inpatients.

BACKGROUND: Despite the development of geriatrics surgery process quality indicators (QIs), few studies have reported on these QIs in routine surgical practice. Even less is known about the links between these QIs and clinical outcomes, and patient characteristics. We aimed to measure geriatrics surgery process QIs, and investigate the association between process QIs and outcomes, and QIs and patient characteristics, in hospitalized older vascular surgery patients. METHODS: This was a prospective cohort study of 150 consecutive patients aged ≥ 65 years admitted to a tertiary vascular surgery unit. Occurrence of geriatrics surgery process QIs as part of routine vascular surgery care was measured. Associations between QIs and high-risk patient characteristics, and QIs and clinical outcomes were assessed using clustered heatmaps. RESULTS: QI occurrence rate varied substantially from 2% to 93%. Some QIs, such as cognition and delirium screening, documented treatment preferences, and geriatrician consultation were infrequent and clustered with high-risk patient characteristcs. There were two major process-outcome clusters: (a) multidisciplinary consultations, communication and screening-based process QIs with multiple adverse outcomes, and (b) documentation and prescribing-related QIs with fewer adverse outcomes. CONCLUSIONS: Clustering patterns of process QIs with clinical outcomes are complex, and there is a differential occurrence of QIs by patient characteristics. Prospective intervention studies that report on implemented QIs, outcomes and patient characteristics are needed to better understand the causal pathways between process QIs and outcomes, and to help prioritize targets for quality improvement in the care of older surgical patients.

New Horizons in the impact of frailty on pharmacokinetics: latest developments.

Frail older people have a high prevalence of drug use and are susceptible to adverse drug reactions. The physiological changes of frailty are likely to affect pharmacokinetics and pharmacodynamics. We reviewed the methods and findings of published studies of pharmacokinetics in frailty. Nine studies describing pharmacokinetics and an additional three of pharmacokinetic pathways in frail older people were identified. Most pharmacokinetic studies investigated a single administration of a medication, dose or formulation, in small populations, often with limited representation of males or females, and applied variable definitions of frailty. Pharmacokinetic sampling designs generally utilised saturated sampling followed by analysis based on the trapezoidal rule for area under the curve, with more recent studies using sparser sampling and more sophisticated modelling to obtain individual and population values of all pharmacokinetic parameters. Overall, the pharmacokinetic studies reported only small changes in some parameters for some drugs with frailty, with the most consistent change reduced hepatic clearance in frail older people. Recommendations for future studies of pharmacokinetics in frailty include (i) standard objective definitions of frailty; (ii) larger studies including people with mild, moderate and severe frailty; (iii) population pharmacokinetic modelling to allow sparser sampling and consideration of multiple influences on pharmacokinetics; (iv) physiologically based modelling as the physiology of frailty emerges and (v) longitudinal pharmacokinetic studies of chronic drug therapy from middle to old age and from robust to pre-frail to frail, including pre-clinical studies. These data, accompanied by pharmacodynamics data in frailty, will inform safe, effective prescribing for frail older people.

Development and dissemination of the national strategic action plan for reducing inappropriate polypharmacy in older Australians.

A cohesive, national approach is needed to address inappropriate polypharmacy in older adults and promote deprescribing. We describe the dissemination of the Quality Use of Medicines to Optimise Ageing in Older Australians: Recommendations for a National Strategic Action Plan to Reduce Inappropriate Polypharmacy, and the initiatives taken to date that align with, and assist in operationalising this plan.

Communicating deprescribing decisions made in hospital with general practitioners in the community.

BACKGROUND: Deprescribing, the supervised withdrawal of inappropriate medications, intends to manage polypharmacy, which is prevalent in older patients. AIMS: To examine general practitioner (GP) perceptions of communication processes between clinicians in hospital and GP in the community about deprescribing decisions made in hospital. METHODS: Focus groups and interviews were held with 15 GP, exploring deprescribing in hospitals, communication of deprescribing information and the format of communications. Sessions were audiotaped, transcribed and analysed using an inductive approach. RESULTS: GP stated that they should be involved in deprescribing decisions, especially for older complex patients, because of their good knowledge of their patients. Barriers to effective communication included the acute nature of hospital stays and lack of time. Facilitators included long-term relationships of GP with their patients and engaged patients. GP preferred communication of deprescribing decisions to be over the telephone while the patient was still in hospital, and with a concise, electronic discharge summary at the time of discharge. GP indicated that rationale for medication changes and recommended follow-up actions were crucial in a discharge summary to enable care post-discharge. CONCLUSIONS: GP welcome increased communication with hospital clinicians regarding deprescribing decisions made while patients are in hospital. Communication needs to be timely, transparent, succinct and accessible. Lack of time and difficulties contacting hospital clinicians challenge this process.

Supporting deprescribing in hospitalised patients: formative usability testing of a computerised decision support tool.

BACKGROUND: Despite growing evidence that deprescribing can improve clinical outcomes, quality of life and reduce the likelihood of adverse drug events, the practice is not widespread, particularly in hospital settings. Clinical risk assessment tools, like the Drug Burden Index (DBI), can help prioritise patients for medication review and prioritise medications to deprescribe, but are not integrated within routine care. The aim of this study was to conduct formative usability testing of a computerised decision support (CDS) tool, based on DBI, to identify modifications required to the tool prior to trialling in practice. METHODS: Our CDS tool comprised a DBI MPage in the electronic medical record (clinical workspace) that facilitated review of a patient's DBI and medication list, access to deprescribing resources, and the ability to deprescribe. Two rounds of scenario-based formative usability testing with think-aloud protocol were used. Seventeen end-users participated in the testing, including junior and senior doctors, and pharmacists. RESULTS: Participants expressed positive views about the DBI CDS tool but testing revealed a number of clear areas for improvement. These primarily related to terminology used (i.e. what is a DBI and how is it calculated?), and consistency of functionality and display. A key finding was that users wanted the CDS tool to look and function in a similar way to other decision support tools in the electronic medical record. Modifications were made to the CDS tool in response to user feedback. CONCLUSION: Usability testing proved extremely useful for identifying components of our CDS tool that were confusing, difficult to locate or to understand. We recommend usability testing be adopted prior to implementation of any digital health intervention. We hope our revised CDS tool equips clinicians with the knowledge and confidence to consider discontinuation of inappropriate medications in routine care of hospitalised patients. In the next phase of our project, we plan to pilot test the tool in practice to evaluate its uptake and effectiveness in supporting deprescribing in routine hospital care.