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Objective: To describe patterns of use of the available Government-subsidised mental health services among people living in Australian residential aged care facilities. Methods: A retrospective population-based trend analysis was conducted, including all non-Indigenous people living in an Australian facility between 2012 and 2017. Adjusted incidence proportions and trends were estimated for four groups of mental health services. Results: The use of Medicare-subsidised mental health services was very low overall. The proportion of residents who accessed primary care mental health services increased from 1.3% in 2012/2013 to 2.4% in 2016/2017, while psychiatry service use increased from 1.9 to 2.3%. Claims for clinical psychology increased from 0.18 to 0.26%, and claims for a registered psychologist, occupational therapist or social worker rose from 0.45 to 1.2%. People with dementia were less likely than people without dementia to access all services aside from psychiatry services. Conclusions: Less than 3% of residents accessed funding subsidies for mental health services and people with dementia experienced pronounced barriers to service access. Mental health care is a pillar of the publicly-funded health system in Australia, and low use of these services among aged care residents indicates a need for organisational and policy changes to improve access. What is known about the topic? People living in residential aged care facilities report very high rates of mental health conditions, including depression and anxiety. What does this paper add? We demonstrate very low use (<3%) of Government-funded mental health services among people living in residential aged care facilities in Australia, with only small increases in use over time. What are the implications for practitioners? Practitioners should routinely assess the mental health needs of people living in residential aged care and refer for in-reach mental health services where needed, noting that facility staff are usually not trained for this role. [ABSTRACT FROM AUTHOR]

Objective: To quantify incidence, trends and outcomes associated with lower respiratory viral infection (LRVI) hospitalisations in Australian residential aged care facilities (RACFs). Methods: A population‐based cohort study of residents in RACFs aged ≥65 years from New South Wales (NSW), South Australia (SA) and Victoria (VIC) using data from the Registry of Senior Australians (2013‐2016) was conducted. Age‐ and sex‐standardised monthly and yearly LRVI hospitalisation incidences were calculated, and time trends and risk factors were assessed. Results: Of 268 657 residents included over the study period, 12% had ≥1 LRVI hospitalisation. Average annual incidence/1000 residents was 7.1 [6.9‐7.2] in 2013, increasing to 7.8 [7.7‐8.1] in 2016. Males, increasing co‐morbidity, presence of CHF, respiratory disease and hypertension had a higher incidence of LRVI hospitalisation. In‐hospital mortality was 14%. Within 30 days following discharge, 15% died and 8% were readmitted. Conclusions: Prior to COVID‐19, incidence of hospitalisation for LRVI in Australia's residential aged care population was increasing and was associated with significant morbidity and mortality. [ABSTRACT FROM AUTHOR]

Background Clinicians prescribe high-cost medicines for rare diseases and nonapproved indications when conventional therapies have failed. Objective To examine the use of non-formulary high-cost medicines at an Australian public hospital. Methods Retrospective audit of individual patient use applications for nonformulary medicines costing more than $5000 AUD per year at a large tertiary referral hospital in Adelaide, South Australia over a 12-month study period from January 2015 to December 2015. Main outcome measures Total cost of non-formulary high-cost medicines, medication class, indications for use, level of supporting evidence and proposed monitoring outcomes. Results Eighty-seven individual patient use applications were examined. All except one were approved, at a total cost of $1,339,203 AUD. The most common drug classes were anti-CD20 (n = 33, 38%), combined antiretrovirals (n = 10, 11%) and TNF-alpha antagonists (n = 10, 11%). There were 56 indications for these medicines with the majority being inflammatory conditions (n = 52, 60%), followed by infections (n = 14, 16%) and malignancies (n = 14, 16%). Of the first-time individual patient use applications (n = 63), there were 25 applications (40%) that provided a case series as supporting evidence. Approximately half of new individual patient use applications (n = 32) proposed an objective monitoring outcome, but few (n = 13, 21%) contained sufficient information to allow a third party to determine efficacy of the medication. Conclusions Non-formulary high-cost medicines are being used for a broad range of indications based largely on low levels of evidence. Prospective definition of an adequate response to treatment and reporting of these outcomes is required to improve the evidence-base and to aid decision-making for subsequent treatment courses. [ABSTRACT FROM AUTHOR]

Background: Medication errors are a leading cause of harm to patients in hospital that can be decreased by electronic medication management systems. Aims: This study determined the effects of electronic prescribing using the Enterprise Patient Administration System (EPAS) on prescribing errors and adverse drug reaction (ADR) documentation in South Australian public hospitals. Methods: A prospective structured medication chart audit was conducted before (in 2012) and after the implementation (in Dec 2014) of EPAS, comparing the paper‐based National Inpatient Medication Chart (NIMC) with prescribing. All inpatients were eligible for inclusion in the study. Prescribing order errors were determined by the percentage of medication orders that had unclear, illegal or unsafe prescriptions. The quality of ADR documentation was assessed by the percentage of patients with correct documentation. Results: The total number of prescribing errors before and after the implementation of EPAS was 67.7 and 2.8 per 100 orders, respectively. The frequency of prescribing order errors due to unclear, illegal and unsafe prescriptions decreased to almost zero with EPAS. Prescriptions classified as unsafe due to incorrect dose, route of administration or dosing frequency decreased from 5.8% to 0.03% of medication orders before versus after EPAS implementation (p < 0.0001). Completed ADR documentation was similar between the paper‐based NIMC and EPAS, but the percentage of patients with ADR alerts who required them was 100% in EPAS compared with 27% on the NIMC (p < 0.0001). Conclusions: E‐prescribing using EPAS significantly decreased prescribing errors and increased ADR alerts. Continued implementation of electronic medication management systems is an important approach to improve medication safety. [ABSTRACT FROM AUTHOR]

Background The majority of patients with penicillin allergy labels tolerate penicillins. Inappropriate avoidance of penicillin is associated with increased hospitalisation, infections and healthcare costs. Aims To examine the documentation of penicillin adverse drug reactions ( ADR) in a large-scale hospital-based electronic health record. Methods Penicillin ADR were extracted from 96 708 patient records in the Enterprise Patient Administration System in South Australia. Expert criteria were used to determine consistency of ADR entry and suitability for further evaluation. Results Of 43 011 unique ADR reports, there were 5023 ADR to penicillins with most being entered as allergy ( n = 4773, 95.0%) rather than intolerance ( n = 250, 5.0%). A significant proportion did not include a reaction description ( n = 1052, 20.9%). Using pre-set criteria, 10.1% of reports entered as allergy had a reaction description that was consistent with intolerance and 31.0% of the entered intolerances had descriptions consistent with allergy. Virtually all ADR ( n = 4979, 99.1%) were appropriate for further evaluation by history taking or immunological testing and half (50.7%, n = 2549) had documented reactions suggesting low-risk of penicillin allergy. Conclusion The frequency of penicillin allergy label in this data set is consistent with the known overdiagnosis of penicillin allergy in the hospital population. ADR documentation was poor with incomplete entries and inconsistent categorisation. The concepts of allergy and intolerance for ADR classification, whilst mechanistically valid, may not be useful at the point of ADR entry by generalist clinicians. Systematic evaluation of reported ADR is needed to improve the quality of information for future prescribers. [ABSTRACT FROM AUTHOR]

Objectives: To examine individual, medication, system, and healthcare related predictors of hospitalization and emergency department (ED) presentation within 90 days of entering the aged care sector, and to create risk-profiles associated with these outcomes., Design and Setting: Retrospective population-based cohort study using data from the Registry of Senior Australians., Participants: Older people (aged 65 and older) with an aged care eligibility assessment in South Australia between January 1, 2013 and May 31, 2016 (N = 22,130)., Measurements: Primary outcomes were unplanned hospitalization and ED presentation within 90 days of assessment. Individual, medication, system, and healthcare related predictors of the outcomes at the time of assessment, within 90 days or 1-year prior. Fine-Gray models were used to calculate subdistribution hazard ratios (sHR) and 95% confidence intervals (CI). Harrell's C-index assessed predictive ability., Results: Four thousand nine-hundred and six (22.2%) individuals were hospitalized and 5028 (22.7%) had an ED presentation within 90 days. Predictors of hospitalization included: being a man (hospitalization sHR = 1.33, 95% CI 1.26-1.42), ≥3 urgent after-hours attendances (hospitalization sHR = 1.21, 95% CI 1.06-1.39), increasing frailty index score (hospitalization sHR = 1.19, 95% CI 1.11-1.28), individuals using glucocorticoids (hospitalization sHR = 1.11, 95% CI 1.02-1.20), sulfonamides (hospitalization sHR = 1.18, 95% CI 1.10-1.27), trimethoprim antibiotics (hospitalization sHR = 1.15, 95% CI 1.03-1.29), unplanned hospitalizations 30 days prior (hospitalization sHR = 1.13, 95% CI 1.04-1.23), and ED presentations 1 year prior (hospitalization sHR = 1.07, 95% CI 1.04-1.10). Similar predictors and hazard estimates were also observed for ED presentations. The hospitalization models out-of-sample predictive ability (C-index = 0.653, 95% CI 0.635-0.670) and ED presentations (C-index = 0.647, 95% CI 0.630-0.663) were moderate., Conclusions: One in five individuals with aged care eligibility assessments had unplanned hospitalizations and/or ED presentation within 90 days with several predictors identified at the time of aged care eligibility assessment. This is an actionable period for targeting at-risk individuals to reduce hospitalizations., (© 2021 The American Geriatrics Society.)

Background: Studies have demonstrated that heart failure (HF) patients who receive direct pharmacist input as part of multidisciplinary care have better clinical outcomes. This study evaluated/compared the difference in prescribing practices of guideline-directed medical therapy (GDMT) for chronic HF patients between two multidisciplinary clinics-with and without the direct involvement of a pharmacist., Methods: A retrospective audit of chronic HF patients, presenting to two multidisciplinary outpatient clinics between March 2005 and January 2017, was performed; a Multidisciplinary Ambulatory Consulting Service (MACS) with an integrated pharmacist model of care and a General Cardiology Heart Failure Service (GCHFS) clinic, without the active involvement of a pharmacist., Results: MACS clinic patients were significantly older (80 vs. 73 years, p < .001), more likely to be female (p < .001), and had significantly higher systolic (123 vs. 112 mmHg, p < .001) and diastolic (67 vs. 60 mmHg, p < .05) blood pressures compared to the GCHF clinic patients. Moreover, the MACS clinic patients showed more polypharmacy and higher prevalence of multiple comorbidities. Both clinics had similar prescribing rates of GDMT and achieved maximal tolerated doses of angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) in HFrEF. However, HFpEF patients in the MACS clinic were significantly more likely to be prescribed ACEIs/ARBs (70.5% vs. 56.2%, p = 0.0314) than the GCHFS patients. Patients with both HFrEF and HFpEF (MACS clinic) were significantly less likely to be prescribed β-blockers and mineralocorticoid receptor antagonists. Use of digoxin in chronic atrial fibrillation (AF) in MACS clinic was significantly higher in HFrEF patients (82.5% vs. 58.5%, p = 0.004), but the number of people anticoagulated in presence of AF (27.1% vs. 48.0%, p = 0.002) and prescribed diuretics (84.0% vs. 94.5%, p = 0.022) were significantly lower in HFpEF patients attending the MACS clinic. Age, heart rate, systolic blood pressure (SBP), anemia, chronic renal failure, and other comorbidities were the main significant predictors of utilization of GDMT in a multivariate binary logistic regression., Conclusions: Lower prescription rates of some medications in the pharmacist-involved multidisciplinary team were found. Careful consideration of demographic and clinical characteristics, contraindications for use of medications, polypharmacy, and underlying comorbidities is necessary to achieve best practice.

Background: Polypharmacy has been associated with increased mortality but the contribution of different medication-related factors to this is unknown., Aims: The aim of this study was to identify demographic and medication-related predictors of mortality in the older population. Given the intrinsic link between polypharmacy and multimorbidity, the secondary aim was to examine if the medicines or underlying diseases predicted mortality., Methods: Patients aged ≥ 65 years from an outpatient multimorbidity clinic were included. Medication-related factors included the medicines count, high-risk medicines, inappropriate medicines duplication, and potential drug-drug and drug-disease interactions. Logistic regression was used to identify mortality predictors within a year of clinic discharge from the outpatient clinic. Patients attend the clinic until medications and comorbidity management have been optimised, at which point they are discharged from the clinic, and their General Practitioner provides ongoing care., Results: A total of 584 patients were included (median age 80.0 years) and 9.9% (n = 58) died within a year of discharge. Demographics, namely age (adjusted odds ratio [aOR] 1.05; 95% CI 1.01-1.09; p = 0.018) and being male (aOR 5.10; 95% CI 2.63-9.88; p < 0.001); chronic disease, namely heart failure (aOR 3.36; 95% CI 1.78-6.35; p < 0.001); and medication-related factors, namely the number of sedative and anticholinergic medicines (aOR 1.66; 95% CI 1.19-2.33; p = 0.003) predicted mortality in the study population., Conclusion: Whilst polypharmacy has been defined using the number of medicines in the literature, a combination of demographics, chronic disease and medications predicted mortality in our study. This provides guidance for the development of future tools and guidelines regarding the inclusion of key factors for identifying high-risk patients at risk of adverse health outcomes such as mortality.

Initial Assessment: Older people are at increased risk of medication-related potentially preventable hospitalizations (MR-PPH) due to the presence of multiple chronic conditions (multimorbidity) and subsequent polypharmacy., Choice of Solution: A pilot study was conducted, using evidence-based indicators to detect older patients in a chronic disease management program (CDMP) at risk of hospitalization due to sub-optimal medication use., Implementation: Previously validated indicators for MR-PPH were applied to patients with multimorbidity, aged 65 years or older and who were enrolled in a national community-based CDMP. Nurse-led telephone interviews and case note abstraction were used as data sources., Evaluation: Nineteen patients triggered the MR-PPH indicators 85 times with a median of four per patient. Sub-optimal medication management was identified 34 times (40%) with a median of two per patient. The most common reasons for sub-optimal medication management were exposure to medications associated with falls, underuse of angiotensin-converting enzyme inhibitor/angiotensin-2 receptor blocker medications for cardiovascular disease and low rates of hemoglobin A1c and renal monitoring in patients with diabetes., Lessons Learned: This study has shown the utility of MR-PPH indicators within a CDMP to identify and monitor sub-optimal medication-related care. Implementation and ongoing monitoring of these types of indicators can support the development of targeted programs to reduce the ongoing risk of adverse events in the older population and improve the overall quality of life., (© The Author(s) 2018. Published by Oxford University Press in association with the International Society for Quality in Health Care. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Importance: Statin medications are widely prescribed for cardiovascular risk reduction. Myalgia and rhabdomyolysis are well-recognized adverse effects of statins, and they resolve with the cessation of statin therapy. Idiopathic inflammatory myositis (IIM) is a heterogeneous group of autoimmune myopathies that may also be associated with statin use. Recently, statin-associated autoimmune myopathy has been recognized as a distinct entity with the presence of specific autoantibodies against hydroxymethylglutaryl-coenzyme A reductase, which results in a necrotizing myositis that does not resolve with cessation of statin therapy and requires treatment with immunosuppressive agents., Objective: To examine the association between histologically confirmed IIM and current exposure to statin medications., Design, Setting, and Participants: Population-based case-control study using the South Australian Myositis Database of all histologically confirmed cases of IIM diagnosed between 1990 and 2014 in patients 40 years or older (n = 221) and population-based controls from the North West Adelaide Health Study (n = 662), matched by age and sex in a 3:1 ratio of controls to cases. Data analysis using conditional logistic regression was performed from June 1, 2016, to July 14, 2017., Exposures: Current statin medication use., Main Outcomes and Measures: Unadjusted and adjusted (for diabetes and cardiovascular disease) odds ratios and 95% CIs for likelihood of inflammatory myositis., Results: A total of 221 IIM cases met the inclusion criteria with a mean (SD) age of 62.2 (10.8) years, and 132 (59.7%) were female. Statin exposure at the time of IIM diagnosis was 68 of 221 patients (30.8%) and 142 of 662 matched controls (21.5%) (P = .005). There was an almost 2-fold increased likelihood of statin exposure in patients with IIM compared with controls (adjusted odds ratio, 1.79; 95% CI, 1.23-2.60; P = .001). Similar results were observed when patients with necrotizing myositis were excluded from the analysis (adjusted odds ratio, 1.92; 95% CI, 1.29-2.86; P = .001)., Conclusions and Relevance: In this large population-based study, statin exposure was significantly associated with histologically confirmed IIM. Given the increased use of statins worldwide and the severity of IIM, increased awareness and recognition of this potentially rare adverse effect of statin exposure is needed.