Search

Aim: To examine changes in the use of glucose-lowering medicine (GLM) 12 months before and 12 months after long-term care facility (LTCF) entry among people with diabetes., Materials and Methods: A national retrospective cohort study was conducted using linked health and aged care data from the Registry of Senior Australians National Historical Cohort. Residents of LTCFs with diabetes aged 65 years or older from 2015 to 2019 were included. Prevalence of GLM use and the number of defined daily doses (DDDs) dispensed per 1000 resident-days were estimated quarterly (91-day) using Poisson regression models, or negative binomial regression when overdispersion was present., Results: Among the 50 993 residents studied (median age 84 years), the prevalence of GLM use was 58.4% (95% confidence interval [CI] 58.0%-58.8%) in the 9-12 months pre-LTCF entry and 56.3% (95% CI 55.9%-56.8%) in the 9-12 months post-entry. The number of DDDs/1000 resident-days increased from 1015.2 (95% CI 1002.3-1028.1) to 1253.8 (95% CI 1168.4-1339.3) during the same period. GLM use in the 3 months pre-entry was 56.8% (95% CI 56.4%-57.2%) compared with 61.7% (95% CI 61.3%-62.1%) in the 3 months post-entry, with the increased use driven mainly by insulin. No marked changes in the number of GLMs dispensed or GLM type were observed at 9-12 months post-entry compared with 3 months pre-entry. Among 22 792 individuals dispensed a GLM in the 3 months prior to LTCF entry, 50.2% continued the same GLM at 9-12 months post-entry., Conclusions: GLM use peaked in the first 3 months following LTCF entry, driven mainly by insulin, hence, residents may benefit from close monitoring of diabetes treatment during this period., (© 2024 The Author(s). Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.)

Background: The impact of Home Medicines Reviews (HMRs) on long-term health outcomes among individuals receiving long-term in-home aged care services is unknown., Objectives: To examine associations between HMR provision and hospitalization, long-term care facility (LTCF) entry and mortality among older people receiving long-term in-home aged care services., Methods: This retrospective cohort study included individuals aged 65-105 years from three Australian states who accessed in-home aged care services between 2013 and 2017. Using propensity score matching, HMR recipients (n = 1530) were matched to individuals who did not receive an HMR (n = 1530). Associations between HMR provision and outcomes were estimated using multivariable regression models., Results: Over a median of 414 days (interquartile range 217-650) of follow-up, HMR provision was not associated with hospitalizations for unplanned events (subdistribution hazard ratio (sHR) 1.04, 95%CI 0.96-1.14), falls-related hospitalizations (sHR 0.97, 95%CI 0.83-1.13), LTCF entry (sHR 0.97, 95%CI 0.83-1.13), or all-cause mortality (adjusted HR 0.86, 95%CI 0.72-1.01)., Conclusions: In a cohort of older people receiving long-term in-home aged care services, no differences in unplanned hospitalizations, falls, LTCF entry or mortality were observed those with HMRs compared to those that did not receive an HMR., Competing Interests: Declaration of competing interest JKS, GM, SC, SJ, and AS are registered pharmacists and at the time of study conduct were accredited by the Australian Association of Consultant Pharmacy (AACP; the research funder) to perform home medicines reviews (HMRs). GM was the Chief Executive Officer of AACP, SC and SJ were Non-Executive Directors of AACP, and AS was a member of the AACP National Advisory Group. JKS is a non-executive director of Southern Cross Care SA, NT, VIC (an aged care provider organization)., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Objectives: High rates of antibiotic prescription in residential aged care are likely to promote enteric carriage of antibiotic-resistant pathogens and increase the risk of antibiotic treatment failure. Despite their importance, relationships between antibiotic exposures and patterns of enteric resistance carriage in this population remain poorly understood., Methods: We conducted a cross-sectional metagenomic cohort analysis of stool samples from residents of five long-term aged-care facilities in South Australia. Taxonomic composition was determined, and enteric carriage of antibiotic resistance genes (ARGs) was identified and quantified against the Comprehensive Antibiotic Resistance Database. Both the detection and abundance of stool taxa and ARGs were related to antibiotic exposures up to 12 months prior. Factors associated with the abundance of ARGs of high clinical concern were identified., Results: Stool samples were provided by 164 participants (median age: 88 years, IQR 81-93; 72% female). Sixty-one percent (n = 100) of participants were prescribed antibiotics at least once in the prior 12 months (median prescriptions: 4, range: 1-52), most commonly a penicillin (n = 55, 33.5%), cephalosporin (n = 53, 32.3%), diaminopyrimidine (trimethoprim) (n = 36, 22%), or tetracycline (doxycycline) (n = 21, 12.8%). More than 1100 unique ARGs, conferring resistance to 38 antibiotic classes, were identified, including 20 ARGs of high clinical concern. Multivariate logistic regression showed doxycycline exposure to be the greatest risk factor for high ARG abundance (adjusted odds ratio [aOR]=14.8, q<0.001) and a significant contributor to inter-class selection, particularly for ARGs relating to penicillins (aOR=3.1, q=0.0004) and cephalosporins (aOR=3.4, q=0.003). High enteric ARG abundance was associated with the number of separate antibiotic exposures (aOR: 6.4, q<0.001), exposures within the prior 30 days (aOR: 4.6, q=0.008) and prior 30-100 days (aOR: 2.6, q=0.008), high duration of antibiotic exposure (aOR: 7.9, q<0.001), and exposure to 3 or more antibiotic classes (aOR: 7.4, q<0.001). Carriage of one or more ARGs of high clinical concern was identified in 99% of participants (n = 162, median: 3, IQR: 2-4), involving 11 ARGs conferring resistance to aminoglycosides, four to beta-lactams, one to glycopeptides, three to fluoroquinolones, and one to oxazolidinones. Carriage of ARGs of high clinical concern was positively associated with exposure to doxycycline (aminoglycoside, fluoroquinolone, and oxazolidinone ARGs) and trimethoprim (fluoroquinolone and beta-lactam ARGs). Analysis of doxycycline impact on microbiota composition suggested that observed resistome changes arose principally through direct ARG selection, rather than through the antibiotic depletion of sensitive bacterial populations., Conclusions: The gut microbiome of aged care residents is a major reservoir of antibiotic resistance. As a critical antibiotic in medical practice, a comprehensive understanding of the impact of doxycycline exposure on the gut resistome is paramount for informed antibiotic use, particularly in an evolving landscape of prophylactic applications. Near-universal asymptomatic carriage of clinically critical resistance determinants is highly concerning and reinforces the urgent need for improved management of antibiotic use in long-term aged care., Competing Interests: Declaration of Competing Interest The authors declare that they have no competing interests, nor any financial or personal relationships with other people or organisations that could bias this study., (Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Objectives: A Star Rating system (1 to 5 stars) of long-term care facilities in Australia is based on 4 sub-categories: compliance, quality measures, residents' experience, and staffing. The objectives were to examine associations between facility characteristics and the odds of receiving a 4- or 5-star rating, and changes in ratings between the earliest reporting period (October-December 2022) to the most recent (April-June 2023)., Design: Cross-sectional, ecological study, with an additional longitudinal component., Setting: Long-term care facilities in Australia., Methods: Associations between facility characteristics and the odds of receiving a 4- or 5-star rating were examined using a multiple logistic regression model. Average changes in overall star rating and each sub-category weighted by fractional contribution to overall star rating were estimated., Results: Of 2476 facilities, 53.7% received a 4- or 5-star rating, 44.1% a 3-star rating, and 2.1% a 1- or 2-star rating in the April-June 2023 reporting period. Facility characteristics associated with higher odds of 4- or 5-star ratings included small (≤60 residents) and medium-size (61-100 residents) (odds ratios, 3.16; 95% CI, 2.51-3.98 and 1.72; 95% CI, 1.38-2.13, respectively), and Queensland location compared with New South Wales (2.42; 95% CI, 1.87-3.14). Facilities in socioeconomically disadvantaged areas (0.45; 95% CI, 0.33-0.62) and for-profit (0.12; 95% CI, 0.07-0.22) or not-for-profit facilities (0.16; 95% CI, 0.09-0.29) compared with government-operated were associated with lower odds of 4- or 5-star ratings. Between the 2 reporting periods, 25.1% of facilities' star ratings increased and 10.2% decreased (average change 0.156). Residents' experience, compliance, and staffing had the largest weighted average sub-category rating changes (0.051, 0.042, and 0.042, respectively)., Conclusions: Smaller size, government ownership, and location in socioeconomically advantaged areas were associated with higher odds of 4- or 5-star ratings in long-term care facilities. Average star ratings increased over time but increases and decreases in overall and sub-category ratings were observed., Competing Interests: Disclosure The authors declare no conflicts of interest., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)

Objectives: To assess changes following the 2013-21 Home Care Package (HCP) reforms in the rate of HCPs provided to Australians aged 65 years or older, the characteristics of people who have received HCPs, and the capacity of the program to meet demand for its services during 2018-21., Study Design: Repeated cross-sectional population-based study; analysis of Australian Institute of Health and Welfare GEN Aged Care and Australian Department of Health Home Care Packages program data., Setting, Participants: HCPs provided to non-Indigenous Australians aged 65 years or older, 2008-09 to 2020-21., Main Outcome Measures: Changes in age- and sex-standardised HCP rates (number per 1000 older people) and changes in proportions of recipients for selected characteristics, 2013-14 to 2020-21, overall and by care level; correspondence of proportional HCP supply and demand, 2018-19 to 2020-21, by care level., Results: A total of 490 276 HCPs were provided during 2008-21. The age- and sex-standardised HCP rate rose from 9.23 per 1000 people aged 65 years or more in 2013-14 to 16.4 per 1000 older people in 2020-21. The increases in age- and sex-standardised HCP rate between 2013-14 and 2020-21 were greatest for level 1 (from 0.19 to 5.05 per 1000 older people) and level 3 HCPs (from 0.35 to 3.62 per 1000 older people); the rate for level 2 HCPs declined from 6.75 to 5.82 per 1000 older people, and that for level 4 HCPs did not change. The proportion of culturally and linguistically diverse recipients rose from 10.8% to 16.2%; the overall proportion of recipients living outside major cities rose slightly, from 28.1% to 28.7%, but declined for higher care level HCPs (level 3: from 30.8% to 27.8%; level 4: from 29.6% to 25.2%). During 2018-19 to 2020-21, the proportions of lower level (1 and 2) HCPs generally exceeded demand, while the supply of higher level (3 and 4) HCPs generally fell short of demand., Conclusions: Despite the increased overall availability of HCPs, the supply of higher care level HCPs is still lower than the demand, probably contributing to suboptimal support for the ageing-in-place preferences of older Australians, especially in regional and remote areas., (© 2024 The Author(s). Medical Journal of Australia published by John Wiley & Sons Australia, Ltd on behalf of AMPCo Pty Ltd.)

Objective: The objective of this review is to identify quality indicators used to monitor the quality and safety of care provided to older people (≥ 65 years old) in 8 care settings: primary care; hospital/acute care; aged care (including residential aged care and home or community care); palliative care; rehabilitation care; care transitions; dementia care; and care in rural areas., Introduction: There is a need for high-quality, holistic, person-centered care for older people. Older people receive care across multiple care settings, and population-level monitoring of quality and safety of care across settings represents a significant challenge., Inclusion Criteria: National and international quality indicators used to monitor and evaluate the quality and safety of care at the population level for older individuals in the 8 key care settings will be considered for inclusion. English-language quantitative and mixed method studies published from 2012 will be considered., Methods: Academic (MEDLINE, Embase) and gray (government websites, clinical guidelines, Google) literature searches will be conducted. A standardized data extraction tool will be used to describe the identified quality indicators and associated tools. Quality indicators will be categorized by key domains (ie, pain, function, consumer experience, service delivery); quality indicator type (structure, process, outcome); and the Institute of Medicine's 6 dimensions of care quality (eg, efficiency, effectiveness, appropriateness, accessibility, acceptability/person-centered, safety). The scoping review will be conducted in accordance with the JBI methodology for scoping reviews and will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR)., Review Registration: Open Science Framework https://osf.io/8czun., Competing Interests: The authors declare no conflict of interest., (Copyright © 2024 JBI.)

Background: Depression is associated with inferior outcomes following hip or knee arthroplasty, though it remains unclear if this relationship is modifiable. This study examined the association between pharmacologic treatment of depression and patient-reported outcomes., Methods: This retrospective cohort study of 1,651 total hip arthroplasty (THA) and 1,792 total knee arthroplasty (TKA) procedures between October 2012 and June 2019 used institutional registry data linked to nationwide pharmaceutical claims. The primary outcome was the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) global score, with pain and function subscales assessed as secondary outcomes. The TKA and THA patients were analyzed separately via mixed-effect linear regression to compare patients who had depression treated with antidepressants (TKA, n = 210; THA, n = 150) to those who had untreated depression (TKA, n = 43; THA; n = 50), and those who did not have depression (TKA, n = 1,539; THA, n = 1,451)., Results: Among patients who had depression, not receiving preoperative antidepressant therapy was associated with smaller improvements in WOMAC global scores (TKA, adjusted mean difference [MD]: -13.1 points, 95% CI [confidence interval]: -21.4 to -4.8; THA, MD: -8.5 points, 95% CI: -15.7 to -1.2) at 2 years after surgery, but not at 1 year (TKA, MD: -5.4 points, 95% CI: -12.9 to 2.1; THA, MD: -6.3 points, 95% CI: -12.9 to 0.3). Those who did not have depression had similar improvements in WOMAC global scores to those who had treated depression at both one (TKA, MD: 0.8 points, 95% CI: -2.7 to 4.4; THA, MD: 1.8 points, 95% CI: -1.8 to 5.4) and 2 years (TKA, MD: -1.1 points, 95% CI: -4.9 to 2.7; THA, MD: -1.6 points, 95% CI: -5.6 to 2.3). The findings were consistent with secondary outcomes., Conclusions: Among patients who have depression, antidepressant therapy before TKA or THA is associated with improved outcomes. Additional studies are needed to establish the impact of interventions to address untreated depression before surgery., (Copyright © 2024. Published by Elsevier Inc.)

Objective: To characterise the socio-demographic characteristics, aged and health care needs, and aged care services used by older Aboriginal and Torres Strait Islander people assessed for aged care service eligibility., Study Design: Population-based retrospective cohort study; analysis of Registry of Senior Australians (ROSA) National Historical Cohort data., Setting, Participants: Aboriginal and Torres Strait Islander people aged 50 years or older who were first assessed for aged care service eligibility (permanent residential aged care, home care package, respite care, or transition care) during 1 January 2017 - 31 December 2019., Major Outcome Measures: Socio-demographic and aged care assessment characteristics; health conditions and functional limitations recorded at the time of the assessment; subsequent aged care service use., Results: The median age of the 6209 people assessed for aged care service eligibility was 67 years (interquartile range [IQR], 60-75 years), 3626 were women (58.4%), and 4043 lived in regional to very remote areas of Australia (65.1%). Aboriginal health workers were involved in 655 eligibility assessments (10.5%). The median number of health conditions was six (IQR, 4-8); 6013 (96.9%) had two or more health conditions, and 2592 (41.8%) had seven or more. Comorbidity was most frequent among people with mental health conditions: 597 of 1136 people with anxiety (52.5%) and 1170 of 2416 people with depression (48.5%) had seven or more other medical conditions. Geriatric syndromes were recorded for 2265 people (36.5%); assistance with at least one functional activity was required by 6190 people (99.7%). A total of 6114 people (98.5%) were approved for at least one aged care service, 3218 of whom (52.6%) subsequently used these services; the first services used were most frequently home care packages (1660 people, 51.6%)., Conclusion: Despite the high care needs of older Aboriginal and Torres Strait Islander people, only 52% used aged care services for which they were eligible. It is likely that the health and aged care needs of older Aboriginal and Torres Strait Islander people are not being adequately met., (© 2024 The Author(s). Medical Journal of Australia published by John Wiley & Sons Australia, Ltd on behalf of AMPCo Pty Ltd.)

Objective: Population-based data on the required needs for palliative care in residential aged care have been highlighted as a key information gap. This study aimed to provide a comprehensive estimate of palliative care needs among Australia's residential aged care population using a validated algorithm based on causes of death., Methods: A population-based retrospective cohort study was conducted using data from the Registry of Senior Australians of non-Indigenous residents of residential aged care services in New South Wales, Victoria, and South Australia aged older than 65 years, who died between 2016 and 2017 (n = 71,677). An internationally validated algorithm was used to estimate and characterise potential palliative care needs based on causes of death. This estimate was compared to palliative care needs identified from funding-based care needs assessment data., Results: Ninety two per cent (n = 65,949) were estimated to have had potential palliative care needs prior to their death. Of these, 19% (n = 12,467) were assigned an end-of-life trajectory related to cancer, 61% (n = 40,511) to organ failure and 20% (n = 12,971) to frailty and dementia. By comparison, only 6% (n = 4430) of residents were assessed as needing palliative care by the funding-based care needs assessment., Conclusions: Over 90% of individuals dying in residential aged care may have benefited from a palliative approach to care. This need is substantially underestimated by the funding-based care needs assessment, which utilises a narrow definition of palliative care when death is imminent. There is a clear imperative to distinguish between palliative and end-of-life care needs within residential aged care to ensure appropriate and equitable access to palliative care., (© 2024 The Author(s). Australasian Journal on Ageing published by John Wiley & Sons Australia, Ltd on behalf of AJA Inc’.)

Older individuals residing in long-term care facilities (LTCFs) are often living with multimorbidity and exposed to polypharmacy, and many experience medication-related problems. Because randomized controlled trials seldom include individuals in LTCFs, pharmacoepidemiological studies using real-world data are essential sources of new knowledge on the utilization, safety and effectiveness of pharmacotherapies and related health outcomes in this population. In this commentary, we discuss recent pharmacoepidemiological research undertaken to support the investigations and recommendations of a landmark public inquiry into the quality and safety of care provided in the approximately 3,000 Australian LTCFs which house over 240,000 residents annually and informed subsequent national medication-related policy reforms. Suitable sources of real-world data for pharmacoepidemiological studies in long-term care cohorts and methodological considerations are also discussed., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health.)

Objectives: Antipsychotics have been the focus of reforms for improving the appropriateness of psychotropic medicine use in residential aged care facilities (RACFs). Comprehensive evaluation of antidepressant use in RACFs is required to inform policy and practice initiatives targeting psychotropic medicines. This study examined national trends in antidepressant use among older people living in RACFs from 2006 to 2019., Design: National repeated cross-sectional study., Setting and Participants: Individuals aged 65 to 105 years who were permanent, long-term (≥100 days) residents of Australian RACFs between January 2006 and December 2019 were included., Methods: Annual age- and sex-adjusted antidepressant prevalence rates and defined daily doses (DDDs) supplied per 1000 resident-days from 2006 to 2019 were determined. Age- and sex-adjusted prevalence rate ratios (aRRs) and 95% confidence intervals (CIs) were estimated using Poisson and negative binomial regression models., Results: A total of 779,659 residents of 3371 RACFs were included (786,227,380 resident-days). Overall, antidepressant use increased from 46.1% (95% CI, 45.9-46.4) in 2006 to 58.5% (95% CI, 58.3-58.8) of residents in 2019 (aRR, 1.02; 95% CI, 1.02-1.02). Mirtazapine use increased from 8.4% (95% CI, 8.2-8.5) to 20.9% (95% CI, 20.7-21.1) from 2006 to 2019 (aRR, 1.07; 95% CI, 1.07-1.07). Antidepressant use increased from 350.3 (95% CI, 347.6-353.1) to 506.0 (95% CI, 502.8-509.3) DDDs/1000 resident-days (aRR, 1.03; 95% CI, 1.03-1.03), with mirtazapine utilization increasing by 6% annually (aRR, 1.06; 95% CI, 1.06-1.06)., Conclusions and Implications: This nationwide study identified a substantial increase in antidepressant use among residents of Australian RACFs, largely driven by mirtazapine. With nearly 3 in every 5 residents treated with an antidepressant in 2019, findings highlight potential off-label use and suggest that interventions to optimize care are urgently needed., Competing Interests: Disclosure J.K.S. is a non–executive director of Southern Cross Care SA, NT & VIC (an aged care provider organization). There are no other conflicts of interest to declare., (Copyright © 2024 AMDA – The Society for Post-Acute and Long-Term Care Medicine. All rights reserved.)

Aims: To examine national trends in glucose lowering medicine (GLM) use among older people with diabetes in long-term care facilities (LTCFs) during 2009-2019., Methods: A repeated cross-sectional study of individuals ≥65 years with diabetes in Australian LTCFs (n = 140,322) was conducted. Annual age-sex standardised prevalence of GLM use and number of defined daily doses (DDDs)/1000 resident-days were estimated. Multivariable Poisson or Negative binomial regression models were used to estimate adjusted rate ratios (aRRs) and 95 % confidence intervals (CIs)., Results: Prevalence of GLM use remained steady between 2009 (63.9%, 95 %CI 63.3-64.4) and 2019 (64.3%, 95 %CI 63.9-64.8) (aRR 1.00, 95 %CI 1.00-1.00). The percentage of residents receiving metformin increased from 36.0% (95 %CI 35.3-36.7) to 43.5% (95 %CI 42.9-44.1) (aRR 1.01, 95 %CI 1.01-1.01). Insulin use also increased from 21.5% (95 %CI 21.0-22.0) to 27.0% (95 %CI 26.5-27.5) (aRR 1.02, 95 %CI 1.02-1.02). Dipeptidyl peptidase-4 inhibitor use increased from 1.0% (95 %CI 0.9-1.1) to 21.1% (95 %CI 20.7-21.5) (aRR 1.24, 95 %CI 1.24-1.25), while sulfonylurea use decreased from 34.4% (95 %CI 33.8-35.1) to 19.3% (95 %CI 18.9-19.7) (aRR 0.93, 95 %CI 0.93-0.94). Similar trends were observed in DDDs/1000 resident days., Conclusions: The increasing use of insulin and ongoing use of sulfonylureas suggests a need to implement evidence-based strategies to optimise diabetes care in LTCFs., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: JKS is a non-executive director of Southern Cross Care SA, NT & VIC (aged care provider organisation). All other authors declare no conflicts of interest., (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)

Objectives: Dementia guidelines recommend antipsychotics are only used for behavioral and psychological symptoms when non-drug interventions fail, and to regularly review use. Population-level clinical quality indicators (CQIs) for dementia care in permanent residential aged care (PRAC) typically monitor prevalence of antipsychotic use but not prolonged use. This study aimed to develop a CQI for antipsychotic use >90 days and examine trends, associated factors, and variation in CQI incidence; and examine duration of the first episode of use among individuals with dementia accessing home care packages (HCPs) or PRAC., Methods: Retrospective cohort study, including older individuals with dementia who accessed HCPs (n = 50,257) or PRAC (n = 250,196). Trends in annual CQI incidence (2011-12 to 2015-16) and associated factors were determined using Poisson regression. Funnel plots examined geographical and facility variation. Time to antipsychotic discontinuation was estimated among new antipsychotic users accessing HCP (n = 2367) and PRAC (n = 15,597) using the cumulative incidence function., Results: Between 2011-12 and 2015-16, antipsychotic use for >90 days decreased in HCP recipients from 10.7% (95% CI 10.2-11.1) to 10.1% (95% CI 9.6-10.5, adjusted incidence rate ratio (aIRR) 0.97 (95% CI 0.95-0.98)), and in PRAC residents from 24.5% (95% CI 24.2-24.7) to 21.8% (95% CI 21.5-22.0, aIRR 0.97 (95% CI 0.96-0.98)). Prior antipsychotic use (both cohorts) and being male and greater socioeconomic disadvantage (PRAC cohort) were associated with higher CQI incidence. Little geographical/facility variation was observed. Median treatment duration in HCP and PRAC was 334 (interquartile range [IQR] 108-958) and 555 (IQR 197-1239) days, respectively., Conclusions: While small decreases in antipsychotic use >90 days were observed between 2011-12 and 2015-16, findings suggest antipsychotic use among aged care recipients with dementia can be further minimized., (© 2024 The Authors. International Journal of Geriatric Psychiatry published by John Wiley & Sons Ltd.)

Objective: Moving into a long-term care facility (LTCF) requires substantial personal, societal and financial investment. Identifying those at high risk of short-term mortality after LTCF entry can help with care planning and risk factor management. This study aimed to: (i) examine individual-, facility-, medication-, system- and healthcare-related predictors for 90-day mortality at entry into an LTCF and (ii) create risk profiles for this outcome., Design: Retrospective cohort study using data from the Registry of Senior Australians., Subjects: Individuals aged ≥ 65 years old with first-time permanent entry into an LTCF in three Australian states between 01 January 2013 and 31 December 2016., Methods: A prediction model for 90-day mortality was developed using Cox regression with the purposeful variable selection approach. Individual-, medication-, system- and healthcare-related factors known at entry into an LTCF were examined as predictors. Harrell's C-index assessed the predictive ability of our risk models., Results: 116,192 individuals who entered 1,967 facilities, of which 9.4% (N = 10,910) died within 90 days, were studied. We identified 51 predictors of mortality, five of which were effect modifiers. The strongest predictors included activities of daily living category (hazard ratio [HR] = 5.41, 95% confidence interval [CI] = 4.99-5.88 for high vs low), high level of complex health conditions (HR = 1.67, 95% CI = 1.58-1.77 for high vs low), several medication classes and male sex (HR = 1.59, 95% CI = 1.53-1.65). The model out-of-sample Harrell's C-index was 0.773., Conclusions: Our mortality prediction model, which includes several strongly associated factors, can moderately well identify individuals at high risk of mortality upon LTCF entry., (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Objectives: To examine changes in primary, allied health, selected specialists, and mental health service utilisation by older people in the year before and after accessing home care package (HCP) services., Methods: A retrospective cohort study using the Registry of Senior Australians Historical National Cohort (≥ 65 years old), including individuals accessing HCP services between 2017 and 2019 (N = 109,558), was conducted. The utilisation of general practice (GP) attendances, health assessments, chronic disease management plans, allied health services, geriatric, pain, palliative, and mental health services, subsidised by the Australian Government Medicare Benefits Schedule, was assessed in the 12 months before and after HCP access, stratified by HCP level (1-2 vs. 3-4, i.e., lower vs. higher care needs). Relative changes in service utilisation 12 months before and after HCP access were estimated using adjusted risk ratios (aRR) from Generalised Estimating Equation Poisson models., Results: Utilisation of health assessments (7-10.2%), chronic disease management plans (19.7-28.2%), and geriatric, pain, palliative, and mental health services (all ≤ 2.5%) remained low, before and after HCP access. Compared to 12 months prior to HCP access, 12 months after, GP after-hours attendances increased (HCP 1-2 from 6.95 to 7.5%, aRR = 1.07, 95% CI 1.03-1.11; HCP 3-4 from 7.76 to 9.32%, aRR = 1.20, 95%CI 1.13-1.28) and allied health services decreased (HCP 1-2 from 34.8 to 30.7%, aRR = 0.88, 95%CI 0.87-0.90; HCP levels 3-4 from 30.5 to 24.3%, aRR = 0.80, 95%CI 0.77-0.82)., Conclusions: Most MBS subsidised preventive, management and specialist services are underutilised by older people, both before and after HCP access and small changes are observed after they access HCP., (© 2024. The Author(s).)

Objective The study examined emergency department (ED) presentations, unplanned hospitalisations and potentially preventable hospitalisations in older people receiving long-term care by type of care received (i.e. permanent residential aged care or home care packages in the community), in Australia in 2019. Methods A retrospective cohort study was conducted using the Registry of Senior Australians National Historical Cohort. Individuals were included if they resided in South Australia, Queensland, Victoria or New South Wales, received a home care package or permanent residential aged care in 2019 and were aged ≥65 years. The cumulative incidence of ED presentations, unplanned hospitalisations and potentially preventable hospitalisations in each of the long-term care service types were estimated during the year. Days in hospital per 1000 individuals were also calculated. Results The study included 203,278 individuals accessing permanent residential aged care (209,639 episodes) and 118,999 accessing home care packages in the community (127,893 episodes). A higher proportion of people accessing home care packages had an ED presentation (43.1% [95% confidence interval, 42.8-43.3], vs 37.8% [37.6-38.0]), unplanned hospitalisation (39.8% [39.6-40.1] vs 33.4% [33.2-33.6]) and potentially preventable hospitalisation (11.8% [11.6-12.0] vs 8.2% [8.1-8.4]) than people accessing permanent residential aged care. Individuals with home care packages had more days in hospital due to unplanned hospitalisations than those in residential care (7745 vs 3049 days/1000 individuals). Conclusions While a high proportion of older people in long-term care have ED presentations, unplanned hospitalisations and potentially preventable hospitalisations, people in the community with home care packages experience these events at a higher frequency.

Background: Stratifying residents at increased risk for fractures in long-term care facilities (LTCFs) can potentially improve awareness and facilitate the delivery of targeted interventions to reduce risk. Although several fracture risk assessment tools exist, most are not suitable for individuals entering LTCF. Moreover, existing tools do not examine risk profiles of individuals at key periods in their aged care journey, specifically at entry into LTCFs., Purpose: Our objectives were to identify fracture predictors, develop a fracture risk prognostic model for new LTCF residents and compare its performance to the Fracture Risk Assessment in Long term care (FRAiL) model using the Registry of Senior Australians (ROSA) Historical National Cohort, which contains integrated health and aged care information for individuals receiving long term care services., Methods: Individuals aged ≥65 years old who entered 2079 facilities in three Australian states between 01/01/2009 and 31/12/2016 were examined. Fractures (any) within 365 days of LTCF entry were the outcome of interest. Individual, medication, health care, facility and system-related factors were examined as predictors. A fracture prognostic model was developed using elastic nets penalised regression and Fine-Gray models. Model discrimination was examined using area under the receiver operating characteristics curve (AUC) from the 20 % testing dataset. Model performance was compared to an existing risk model (i.e., FRAiL model)., Results: Of the 238,782 individuals studied, 62.3 % (N = 148,838) were women, 49.7 % (N = 118,598) had dementia and the median age was 84 (interquartile range 79-89). Within 365 days of LTCF entry, 7.2 % (N = 17,110) of individuals experienced a fracture. The strongest fracture predictors included: complex health care rating (no vs high care needs, sub-distribution hazard ratio (sHR) = 1.52, 95 % confidence interval (CI) 1.39-1.67), nutrition rating (moderate vs worst, sHR = 1.48, 95%CI 1.38-1.59), prior fractures (sHR ranging from 1.24 to 1.41 depending on fracture site/type), one year history of general practitioner attendances (≥16 attendances vs none, sHR = 1.35, 95%CI 1.18-1.54), use of dopa and dopa derivative antiparkinsonian medications (sHR = 1.28, 95%CI 1.19-1.38), history of osteoporosis (sHR = 1.22, 95%CI 1.16-1.27), dementia (sHR = 1.22, 95%CI 1.17-1.28) and falls (sHR = 1.21, 95%CI 1.17-1.25). The model AUC in the testing cohort was 0.62 (95%CI 0.61-0.63) and performed similar to the FRAiL model (AUC = 0.61, 95%CI 0.60-0.62)., Conclusions: Critical information captured during transition into LTCF can be effectively leveraged to inform fracture risk profiling. New fracture predictors including complex health care needs, recent emergency department encounters, general practitioner and consultant physician attendances, were identified., Competing Interests: Declaration of competing interest RV is a founding team member to a technological start-up, HealthyVibes.ai., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Background: To date, the excess mortality experienced by residential aged care facility (RACF) residents related to COVID-19 has not been estimated in Australia. This study examined (i) the historical mortality trends (2008-09 to 2021-22) and (ii) the excess mortality (2019-20 to 2021-22) of Australian RACF residents., Methods: A retrospective population-based study was conducted using the Australian Institute of Health and Welfare's GEN website data (publicly available aged care services information). Non-Aboriginal, older (≥65 years old) RACF residents between 2008-09 and 2021-22 were evaluated. The observed mortality rate was estimated from RACF exits compared with the RACF cohort yearly. Direct standardization was employed to estimate age-standardized mortality rates and 95% CIs. Excess mortality and 95% prediction intervals (PIs) for 2019-20 to 2021-22 were estimated using four negative binomial (NB) and NB generalized additive models and compared., Results: The age-standardized mortality rate in 2018-19 was 23 061/100 000 residents (95% CI, 22 711-23 412). This rate remained similar in 2019-20 (23 023/100 000; 95% CI, 22 674-23 372), decreased in 2020-21 (22 559/100 000; 95% CI, 22 210-22 909) and increased in 2021-22 (24 885/100 000; 95% CI, 24 543-25 227). The mortality rate increase between 2020-21 and 2021-22 was observed in all age and sex groups. All models yielded excess mortality in 2021-22. Using the best-performing model (NB), the excess mortality for 2019-20 was -160 (95% PI, -418 to 98), -958 (95% PI, -1279 to -637) for 2020-21 and 4896 (95% PI, 4503-5288) for 2021-22., Conclusions: In 2021-22, RACF residents, who represented <1% of the population, experienced 21% of the Australian national excess mortality (4896/22 886). As Australia adjusts to COVID-19, RACF residents remain a population vulnerable to COVID-19., (© The Author(s) 2023; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.)

Objectives: To examine the historical trends and predict the future rates and total volumes of permanent residential aged care (PRAC) service utilization in Australia., Design: A population-based repeated cross-sectional and projection study of non-indigenous older people (≥65 years) accessing PRAC in Australia was conducted., Setting and Participants: Publicly available aged care admissions from the Australian Institute of Health and Welfare and population estimates from the Australian Bureau of Statistics were used., Methods: Historical incidence rates (per 1000 people), incidence rate ratios (IRRs) and 95% CIs of PRAC admission from 2008-2009 to 2020-2021 were estimated using negative binomial regression models. The future incidence and prediction intervals (PIs) of PRAC admission between 2021-2022 and 2051-2052 were projected using a generalized additive model-negative binomial regression. All estimates were adjusted or standardized by sex and age., Results: Between 2008-2009 and 2020-2021, the adjusted admission to PRAC decreased (from 23.6/1000 people to 15.7/1000 people with an IRR = 0.97/year, 95% CI 0.97-0.98). The projected PRAC admission rate will decrease to 12.1/1000 (95%PI 10.8-13.3) by 2037-2038 and 9.0/1000 (95%PI 7.6-10.4) by 2051-2052. The projected volume of PRAC admission will be 73,988 (95%PI 65,960-81,425) at its highest point in 2037-2038 and 64,579 (95%PI 54,258-74,543) in 2051-2052., Conclusions and Implications: The utilization of PRAC has decreased in the past decade, and a predicted decrease in PRAC use in future years is estimated. However, the volume of PRAC utilization will still increase for the next 15 years (until 2037-2038) due to our increasingly older population. These findings can inform service planning of PRAC access in Australia., Competing Interests: Disclosures The authors declare no conflicts of interest., (Copyright © 2023 AMDA – The Society for Post-Acute and Long-Term Care Medicine. Published by Elsevier Inc. All rights reserved.)

Objectives: To examine utilisation of primary health care services (subsidised by the Australian Government, Medicare Benefits Schedule, MBS) before and after entry into long-term care (LTC) in Australia., Methods: A retrospective cohort study of older people (aged ≥65 years) who entered LTC in Australia between 2012 and 2016 using the Historical Cohort of the Registry of Senior Australians. MBS-subsidised general attendances (general practitioner (GP), medical and nurse practitioners), health assessment and management plans, allied health, mental health services and selected specialist attendances accessed in 91-day periods 12 months before and after LTC entry were examined. Adjusted relative changes in utilisation 0-3 months before and after LTC entry were estimated using risk ratios (RR) calculated using Generalised Estimating Equation Poisson models., Results: 235,217 residents were included in the study with a median age of 84 years (interquartile range 79-89) and 61.1% female. In the first 3 months following LTC entry, GP / medical practitioner attendances increased from 86.6% to 95.6% (aRR 1.10 95%CI 1.10-1.11), GP / medical practitioner urgent after hours (from 12.3% to 21.1%; aRR 1.72, 95%CI 1.70-1.74) and after-hours attendances (from 18.5% to 33.8%; aRR 1.83, 95%CI 1.81-1.84) increased almost two-fold. Pain, palliative and geriatric specialist medicine attendances were low in the 3 months prior (<3%) and decreased further following LTC admission., Conclusion: There is an opportunity to improve the utilisation of primary health care services following LTC entry to ensure that residents' increasingly complex care needs are adequately met., Competing Interests: Declaration of Competing Interest Drs Helena Williams and Andrew Kellie are practicing general practitioners. Dr Janet Sluggett is a pharmacist who is accredited to perform medicines reviews. The authors have no other conflicts of interest to declare., (Copyright © 2023. Published by Elsevier B.V.)

Objective: To describe the economic and cost considerations of mobile X-ray services (MXS) in residential aged care facilities (RACFs), according to stakeholders (involved in residents' healthcare), residents living in RACFs and informal carers (ICs) of residents., Methods: Semistructured interviews were conducted with 20 residents and 27 ICs recruited from six RACFs across metropolitan Adelaide (South Australia, Australia), and 22 stakeholders, on their perspectives of using MXS in RACFs. Data relating to economic and cost considerations were extracted and analysed using thematic analysis., Results: Residents' mean age was 85 years, 60% were women and 40% had experienced an MXS in the last 12 months. Most ICs were daughters (70%) and wives (11%) and 30% had a family member who had experienced an MXS in the last 12 months. Stakeholders included RACF staff, GPs, a hospital avoidance program clinician, paramedics, emergency department clinicians, MXS radiographers and manager, and a radiologist. Four themes were presented: (1) business considerations, where private providers found it necessary to charge residents a co-payment to deliver MXS; (2) cost and payment process as a potential barrier to using MXS, with varied willingness and ability to pay for an MXS co-payment, and equity concerns; (3) overcoming cost and payment barriers, with staff and consumers sometimes using strategies to overcome cost barriers; and (4) perceived cost benefits of MXS to the healthcare system, residents and ICs., Conclusions: Mobile X-ray services providers charge residents an upfront co-payment for business viability, which can be a barrier to some residents wishing to access MXS., (© 2023 The Authors. Australasian Journal on Ageing published by John Wiley & Sons Australia, Ltd on behalf of AJA Inc’.)

Objective: To characterize the features of aged care users who died by suicide and examine the use of mental health services and psychopharmacotherapy in the year before death., Design: Population-based, retrospective exploratory study., Setting and Participants: Individuals who died while accessing or waiting for permanent residential aged care (PRAC) or home care packages in Australia between 2008 and 2017., Measurements: Linked datasets describing aged care use, date and cause of death, health care use, medication use, and state-based hospital data collections., Results: Of 532,507 people who died, 354 (0.07%) died by suicide, including 81 receiving a home care package (0.17% of all home care package deaths), 129 in PRAC (0.03% of all deaths in PRAC), and 144 approved for but awaiting care (0.23% of all deaths while awaiting care). Factors associated with death by suicide compared to death by another cause were male sex, having a mental health condition, not having dementia, less frailty, and a hospitalization for self-injury in the year before death. Among those who were awaiting care, being born outside Australia, living alone, and not having a carer were associated with death by suicide. Those who died by suicide more often accessed Government-subsidized mental health services in the year before their death than those who died by another cause., Conclusions: Older men, those with diagnosed mental health conditions, those living alone and without an informal carer, and those hospitalized for self-injury are key targets for suicide prevention efforts.

Background: In Australia, 243 000 individuals live in approximately 2700 residential aged care facilities yearly. In 2019, a National Aged Care Mandatory Quality Indicator programme (QI programme) was implemented to monitor the quality and safety of care in facilities., Aim: To examine the validity of the QI programme indicators using explicit measure review criteria., Methods: The QI programme manual and reports were reviewed. A modified American College of Physicians Measure Review Criteria was employed to examine the QI programme's eight indicators. Five authors rated each indicator on importance, appropriateness, clinical evidence, specifications and feasibility using a nine-point scale. A median score of 1-3 was considered to not meet criteria, 4-6 to meet some criteria and 7-9 to meet criteria., Results: All indicators, except polypharmacy, met criteria (median scores = 7-9) for importance, appropriateness and clinical evidence. Polypharmacy met some criteria for importance (median = 6, range 2-8), appropriateness (median = 5, range 2-8) and clinical evidence (median = 6, range 3-8). Pressure injury, physical restraints, significant unplanned weight loss, consecutive unplanned weight loss, falls and polypharmacy indicators met some criteria for specifications validity (all median scores = 5) and feasibility and applicability (median scores = 4 to 6). Antipsychotic use and falls resulting in major injury met some criteria for specifications (median = 6-7, range 4-8) and met criteria for feasibility and applicability (median = 7, range 4-8)., Conclusions: Australia's National QI programme is a major stride towards a culture of quality promotion, improvement and transparency. Measures' specifications, feasibility and applicability could be improved to ensure the programme delivers on its intended purposes., (© 2023 The Authors. Internal Medicine Journal published by John Wiley & Sons Australia, Ltd on behalf of Royal Australasian College of Physicians.)

Objectives: To examine the incidence and trends in primary care, allied health, geriatric, pain and palliative care service use by permanent residential aged care (PRAC) residents and the older Australian population., Methods: Repeated cross-sectional analyses on PRAC residents (N = 318,484) and the older (≥65 years) Australian population (N ~ 3.5 million). Outcomes were Medicare Benefits Schedule (MBS) subsidised primary care, allied health, geriatric, pain and palliative services between 2012-13 and 2016-17. GEE Poisson models estimated incidence rates and incidence rate ratios (IRR)., Results: In 2016-17, PRAC residents had a median of 13 (interquartile range [IQR] 5-19) regular general medical practitioner (GP) attendances, 3 (IQR 1-6) after-hours attendances and 5% saw a geriatrician. Highlights of utilisation changes from 2012-13 to 2016-17 include the following: GP attendances increased by 5%/year (IRR = 1.05, 95% confidence interval [CI] 1.05-1.05) for residents compared to 1%/year (IRR = 1.01, 95%CI 1.01-1.01) for the general population. GP after-hours attendances increased by 15%/year (IRR = 1.15, 95%CI 1.14-1.15) for residents and 9%/year (IRR = 1.08, 95%CI 1.07-1.20) for the general population. GP management plans increased by 12%/year (IRR = 1.12, 95%CI 1.11-1.12) for residents and 10%/year (IRR = 1.10, 95%CI 1.09-1.11) for the general population. Geriatrician consultations increased by 28%/year (IRR = 1.28, 95%CI 1.27-1.29) for residents compared to 14%/year (IRR = 1.14, 95%CI 1.14-1.15) in the general population., Conclusions: The utilisation of most examined services increased in both cohorts over time. Preventive and management care, by primary care and allied health care providers, was low and likely influences the utilisation of other attendances. PRAC residents' access to pain, palliative and geriatric medicine services is low and may not address the residents' needs., (© 2023 The Authors. Australasian Journal on Ageing published by John Wiley & Sons Australia, Ltd on behalf of AJA Inc’.)

Background: The emergence of antimicrobial-resistant bacteria represents a considerable threat to human health, particularly for vulnerable populations such as those living in residential aged care. However, antimicrobial resistance carriage and modes of transmission remain incompletely understood. The Generating evidence on antimicrobial Resistance in the Aged Care Environment (GRACE) study was established to determine principal risk factors of antimicrobial resistance carriage and transmission in residential aged care facilities (RACFs). This article describes the cohort characteristics, national representation, and planned analyses for this study., Methods: Between March 2019 and March 2020, 279 participants were recruited from five South Australian RACFs. The median age was 88.6 years, the median period in residence was 681 days, and 71.7% were female. A dementia diagnosis was recorded in 54.5% and more than two thirds had moderate to severe cognitive impairment (68.8%). 61% had received at least one course of antibiotics in the 12 months prior to enrolment., Results: To investigate the representation of the GRACE cohort to Australians in residential aged care, its characteristics were compared to a subset of the historical cohort of the Registry of Senior Australians (ROSA). This included 142,923 individuals who were permanent residents of RACFs on June 30th, 2017. GRACE and ROSA cohorts were similar in age, sex, and duration of residential care, prevalence of health conditions, and recorded dementia diagnoses. Differences were observed in care requirements and antibiotic exposure (both higher for GRACE participants). GRACE participants had fewer hospital visits compared to the ROSA cohort, and a smaller proportion were prescribed psycholeptic medications., Conclusions: We have assembled a cohort of aged care residents that is representative of the Australian aged care population, and which provides a basis for future analyses. Metagenomic data isolated from participants and built environments will be used to determine microbiome and resistome characteristics of an individual and the facility. Individual and facility risk exposures will be aligned with metagenomic data to identify principal determinants for antimicrobial resistance carriage. Ultimately, this analysis will inform measures aimed at reducing the emergence and spread of antimicrobial resistant pathogens in this high-risk population., (© 2023. BioMed Central Ltd., part of Springer Nature.)

Objectives: To examine the (1) cohort of individuals living at home with Home Care Packages (HCPs) in 2016, (2) their access to other aged care services after HCP commencement, and (3) their hospital and ambulance service utilization., Design: A cross-sectional study was conducted using integrated aged care and health care data contained within the National Historical Cohort of the Registry of Senior Australians., Setting and Participants: This study included people who accessed HCP between January 1, 2016 and December 31, 2016., Methods: The access to permanent residential aged care, transition care, respite care, hospital and ambulance services among Australian HCP recipients ≥65 years old in 2016 was evaluated. Descriptive statistics were employed., Results: In 2016, 84,681 individuals received HCPs, of which 68.4% (n = 57,942) accessed HCP levels 1‒2, 26.0% (n = 22,057) accessed HCP levels 3‒4, and 5.5% (n = 4682) accessed both care levels within the year. Of the individuals receiving HCP, 34.0% (n = 27,787) started services that year and 16.7% (n = 14,117) moved to permanent residential aged care, 18.4% (n = 15,592) used respite care and 5.8% (n = 4937) used transition care that year. Emergency department (ED) presentations [43.6%, 95% confidence interval (CI) 43.3‒44.0] were the most common hospital encounters, followed by inpatient hospitalizations for any reason (43.3%, 95% CI 42.9‒43.7), and unplanned hospitalizations (38%, 95% CI 37.6‒38.3). Forty-four percent (44.5%, 95% CI 43.9‒45.0) of individuals utilized ambulance services. ED presentations, hospitalization for any reason, and unplanned hospitalizations were more common in individuals receiving HCP levels 3‒4 compared with those accessing HCP levels 1‒2., Conclusions and Implications: HCP recipients in Australia have frequent hospitalizations, including ED presentations. In addition, almost 1 in 5 access respite care and 16.7% transition to permanent residential care each year. As the population accessing HCP is increasing, adequate support for these individuals to live well at home and avoid health events that lead to hospitalizations are necessary., (Copyright © 2022 AMDA – The Society for Post-Acute and Long-Term Care Medicine. Published by Elsevier Inc. All rights reserved.)

Objectives: Although largely preventable, pressure injury is a major concern in individuals in permanent residential aged care (PRAC). Our study aimed to identify predictors and develop a prognostic model for risk of hospitalization with pressure injury (PI) using integrated Australian aged and health care data., Design: National retrospective cohort study., Setting and Participants: Individuals ≥65 years old (N = 206,540) who entered 1797 PRAC facilities between January 1, 2009, and December 31, 2016., Methods: PI, ascertained from hospitalization records, within 365 days of PRAC entry was the outcome of interest. Individual, medication, facility, system, and health care-related factors were examined as predictors. Prognostic models were developed using elastic nets penalized regression and Fine and Gray models. Area under the receiver operating characteristics curve (AUC) assessed model discrimination out-of-sample., Results: Within 365 days of PRAC entry, 4.3% (n = 8802) of individuals had a hospitalization with PI. The strongest predictors for PI risk include history of PIs [sub-distribution hazard ratio (sHR) 2.41; 95% CI 1.77-3.29]; numbers of prior hospitalizations (having ≥5 hospitalizations, sHR 1.95; 95% CI 1.74-2.19); history of traumatic amputation of toe, ankle, foot and leg (sHR 1.72; 95% CI 1.44-2.05); and history of skin disease (sHR 1.54; 95% CI 1.45-1.65). Lower care needs at PRAC entry with respect to mobility, complex health care, and medication assistance were associated with lower risk of PI. The risk prediction model had an AUC of 0.74 (95% CI 0.72-0.75)., Conclusions and Implications: Our prognostic model for risk of hospitalization with PI performed moderately well and can be used by health and aged care providers to implement risk-based prevention plans at PRAC entry., (Copyright © 2022 AMDA – The Society for Post-Acute and Long-Term Care Medicine. Published by Elsevier Inc. All rights reserved.)

Objectives: To examine the incidence, trends, and differences between age groups and sex in Medicare Benefits Schedule (MBS)-subsidised mental health service utilisation by older Australians over the past 10 years., Methods: A cross-sectional cohort study between 1 July 2009 and 30 June 2019 was conducted using publicly available MBS data for older individuals aged ≥65 years. Age- and sex-standardised yearly incidence rates of psychological therapy (MBS M06), GP mental health treatments (MBS A20), focussed psychological strategy (MBS M07), and psychiatric attendances (MBS A08) and incidence rate ratios (IRR) estimated using Poisson regression were calculated., Results: Overall, the rate of utilisation of primary care mental health services by the older population increased over the study period, with psychological therapy claims increasing the greatest from 14.4/1000 older persons in 2009/10 to 38.5/1000 in 2018/19 (IRR 1.11, 95% CI 1.09-1.13), followed by GP mental health treatments increasing from 43.7/1000 (95% CI 43.4-43.9) in 2009/10 to 81.0/1000 (95% CI 80.7-81.3) in 2018/19 (IRR 1.07/year, 95% CI 1.06-1.09). Females aged 65-74 years had the highest use of GP mental health treatments at 123.8/1000 compared to 63.6/1000 in males in 2018/2019., Conclusions: While utilisation of mental health services by the older population in Australia has increased over the study period, it is important that policymakers and service providers continue to support access and use of these services, which may facilitate well-being and quality of life in the older population., (© 2022 The Authors. Australasian Journal on Ageing published by John Wiley & Sons Australia, Ltd on behalf of AJA Inc’.)

Purpose: Infection is a major complication following joint replacement (JR) surgery. However, little data exist regarding antibiotic utilisation following primary JR and how use changes with subsequent revision surgery. This study aimed to examine variation in antibiotic utilisation rates before and after hip replacement surgery in those revised for infection, revised for other reasons and those without revision., Methods: This retrospective cohort analysis used linked data from the Australian Orthopaedic Association National Joint Replacement Registry and Australian Government Pharmaceutical Benefits Scheme. Patients were included if undergoing total hip replacement (THR) for osteoarthritis in private hospitals between 2002 and 2017. Three groups were examined: primary THR with no subsequent revision (n = 102 577), primary THR with a subsequent revision for reasons other than periprosthetic joint infection (PJI) (n = 3156) and primary THR with a subsequent revision for PJI (n = 520). Monthly antibiotic utilisation rates and prevalence rate ratios (PRRs) with 95% confidence intervals (CIs) were calculated in the 2 years pre- and post-THR., Results: Prior to primary THR antibiotic utilisation was 9%-10%. After primary THR, antibiotic utilisation rates were higher among patients revised for PJI (PRR 1.69, 95% CI 1.60-1.79) compared to non-revised patients, while the utilisation rate was lower in patients revised for reasons other than infection (PRR 0.96, 95% CI 0.93-0.98). For those revised for infection, antibiotic utilisation post-revision surgery was two times higher than those revised for other reasons (PRR 2.16, 95% CI 2.08-2.23). Utilisation of injectable antibiotics including, vancomycin, flucloxacillin and cephazolin was higher in those revised for PJI patients 0-2 weeks following surgery but not in those revised for other reasons compared to the non-revised group., Conclusions: Ongoing antibiotic utilisation after primary surgery may be an early signal of problems with the THR and should be a prompt for primary care physicians to refer patients to specialists for further appropriate investigations and management., (© 2022 The Authors. Pharmacoepidemiology and Drug Safety published by John Wiley & Sons Ltd.)

Background: Older people have increasingly complex healthcare needs, often requiring appropriate access to diagnostic imaging, an essential component of their health and disease management planning. Ultrasound is a safe imaging tool used to diagnose several conditions commonly experienced by older people such as deep vein thrombosis., Purpose: To evaluate the utilisation of major ultrasound services by Australians ≥ 65 years old between 2009- and 2019., Methods: This population-based and yearly cross-sectional study of ultrasound utilisation per 1,000 Australians ≥ 65 years old was conducted using publicly available data sources. Overall, examination site and age- and sex-specific incidence rate (IR) of ultrasound per 1,000 people, adjusted incidence rate ratios (IRRs) and 95% confidence intervals (CIs) were calculated using negative binomial regression models., Results: Over the study period, the crude utilisation of ultrasound increased by 83% in older Australians. Most ultrasound examinations were conducted on extremities (39%) and the chest (21%), with 25% of all ultrasounds investigating the vascular system. More men than women use ultrasounds of the chest (184/1,000 vs 268/1,000 people), particularly echocardiograms (177/1,000 vs 261/1,000 people), and abdomen (88/1,000 vs 92/1,000 people), especially in those ≥ 85 years old. Hip and pelvic ultrasound were used more by women than men (212/1,000 vs 182/1,000 people). There were increases in vascular abdominal (IRR:1.07, 95%CI:1.06-1.08) and extremeties (IRR:1.06, 95%CI:1.05-1.07) ultrasounds over the study period, particularly in ≥ 75 years old men., Conclusions: Ultrasound is a common and increasingly used diagnostic tool for conditions commonly experienced by older Australians., (© 2023. The Author(s).)