Economic burden of frailty in older adults accessing community-based aged care services in Australia.

AIM: To explore the utilization of permanent residential aged care (PRAC), healthcare costs, and mortality for frail compared with non-frail individuals following their first assessment by an aged care assessment team (ACAT) for a government-funded home care package. METHODS: The study involved people aged 65 years and over who completed their first ACAT assessment in 2013 and were followed for up to 36 months. Frail and non-frail study participants were matched through caliper matching without replacement to adjust for potential unobserved confounders. Poisson regression estimated the impact of frailty on PRAC admission and mortality rates. Healthcare costs, encompassing hospital admissions, emergency department presentations, primary care consultations, and pharmaceutical use, from ACAT assessment to end of follow-up, PRAC entry or death were summarized monthly by frailty status. RESULTS: 13 315 non-frail controls were matched with up to three frail individuals (52 678 total). Frail individuals experienced higher mortality (incidence rate ratio [IRR] = 1.76; 95% confidence interval [CI] 1.70-1.83) and greater likelihood of entering PRAC (IRR = 1.73; 95% CI 1.67-1.79) compared with non-frail individuals. Total healthcare costs over the 3-year post-assessment period for 39 363 frail individuals were $1 277 659 900, compared with expected costs of $885 322 522 had they not been frail. The primary contributor to the mean monthly excess cost per frail individual (mean = $457, SD = 3192) was hospital admissions ($345; 75%). CONCLUSIONS: Frailty is associated with higher rates of mortality and of entering PRAC, and excess costs of frailty are substantial and sustained over time. These findings emphasize the potential economic value of providing home care for older people before they become frail. Geriatr Gerontol Int 2024; ••: ••-••.

The impact of ageing-in-place reforms on the provision of home care packages for older Australians, 2008-21: a repeated cross-sectional study.

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.

The prevalence of, and factors associated with, a risk of depression in residential aged care services residents: Findings from the FIRST study.

OBJECTIVES: Depression is common amongst Australian residential aged care services (RACS) residents. This study aimed to estimate the risk of depression amongst residents and identify factors associated with this risk. In care settings such as RACS, time-efficient screening tools to identify depression risk may be a preferred tool. METHODS: The two-item Patient Health Questionnaire (PHQ-2), derived from the nine-item PHQ-9 used commonly in the United States (US), was employed in this study. A resident was identified as being at risk of depression where the score was ≥3. Multivariable logistic regression analysis was used to identify independent factors associated with being at risk of depression. RESULTS: Residents' mean age was 87.7 (standard deviation: 7.3) years and 73% were female. One-fifth of residents (n = 108 or 20%) were at risk of depression. Age (odds ratio [OR] 0.96, 95% confidence interval [CI] 0.93-0.99); Pain Assessment in Advanced Dementia (PAINAD) score (OR 1.55, 95% CI 1.11-2.16); Epworth Sleepiness Scale (ESS) score (OR 1.08, 95% CI 1.03-1.13); and 38-item Frailty Index (FI) score (OR 1.07, 95% CI 1.03-1.10) were significantly associated with being at risk of depression, whilst sex, urinary incontinence, polypharmacy, Dementia Severity Rating Scale (DSRS) and Nursing Home Life Space Diameter (NHLSD) score were not. CONCLUSIONS: One in five residents were at risk of depression. Younger age, higher pain, higher daytime sleepiness and higher frailty status were associated with depressive risk. Future studies focusing on interventions targeting these factors may contribute to improved health outcomes.

Understanding the important characteristics of neighbourhoods to facilitate ageing in place and longevity.

OBJECTIVES: This study investigates which local area characteristics, included in the Healthy Ageing/Vulnerable ENvironment (HAVEN) Index, are the strongest factors predicting transition into permanent residential aged care (PRAC) and mortality, and the geographic distribution of these factors. METHODS: A retrospective cohort study of older individuals living in the community in Adelaide who received their first eligibility assessment for age care services between 2013 and 2015 (n = 16,939) was conducted. The study cohort, from the Registry of Senior Australians (ROSA), was linked by postcode to HAVEN Index items, selected following item response theory (IRT) analysis to determine the strongest local area factors associated with PRAC and mortality. Geospatial mapping of the factors determined the geographic distribution of these significant factors. RESULTS: Fourteen HAVEN Index items were associated with entry into PRAC and mortality. Three area-level items, lower educational attainment, financial housing stress and low levels of volunteering by older people, were risk factors for entry into PRAC and mortality while the remainder of the items identified were different for each outcome. The mapped local area risk factors for each outcome highlighted similar geographical areas of vulnerability. CONCLUSIONS: Local area characteristics are associated with entering PRAC and mortality. Our findings can inform area-level responses to make neighbourhoods more age-friendly, potentially allowing more people to age longer in place. Similar analyses, conducted for other areas, could provide evidence to support the widespread development of age-friendly neighbourhoods reducing area-level inequalities in ageing.

Development and validation of an intrinsic capacity score in the UK Biobank study.

BACKGROUND: In 2015, the World Health Organization introduced the concept of intrinsic capacity (IC) to define the individual-level characteristics that enable an older person to be and do the things they value. This study developed an intrinsic capacity score for UK Biobank study participants and validated its use as a tool for health outcome prediction, understanding healthy aging trajectories, and genetic research. METHODS: Our analysis included data from 45,208 UK biobank participants who had a complete record of the ten variables included in the analysis. Factor adequacy was tested using Kaiser-Meyer-Olkin, Barthelt's, and the determinant of matrix tests, and the number of factors was determined by the parallel analysis method. Exploratory and confirmatory factor analyses were employed to determine the structure and dimensionality of indicators. Finally, the intrinsic capacity score was generated, and its construct and predictive validities as well as reliability were assessed. RESULTS: The factor analysis identified a multidimensional construct comprising one general factor (intrinsic capacity) and five specific factors (locomotor, vitality, cognitive, psychological, and sensory). The bifactor structure showed a better fit (comparative fit index = 0.995, Tucker Lewis index = 0.976, root mean square error of approximation = 0.025, root mean square residual = 0.009) than the conventional five-factor structure. The intrinsic capacity score generated using the bifactor confirmatory factor analysis has good construct validity, as demonstrated by an inverse association with age (lower intrinsic capacity in older age; (ß) =-0.035 (95%CI: -0.036, -0.034)), frailty (lower intrinsic capacity score in prefrail participants, ß = -0.104 (95%CI: (-0.114, -0.094)) and frail participants, ß = -0.227 (95%CI: -0.267, -0.186) than robust participants), and comorbidity (a lower intrinsic capacity score associated with increased Charlson's comorbidity index, ß =-0.019 (95%CI: -0.022, -0.015)). The intrinsic capacity score also predicted comorbidity (a one-unit increase in baseline intrinsic capacity score led to a lower Charlson's comorbidity index, ß = 0.147 (95%CI: -0.173, -0.121)) and mortality (a one-unit increase in baseline intrinsic capacity score led to 25 % lower risk of death, odds ratio = 0.75(95%CI: 0.663, 0.848)). CONCLUSION: The bifactor structure showed a better fit in all goodness of fit tests. The intrinsic capacity construct has strong structural, construct, and predictive validities and is a promising tool for monitoring aging trajectories.

A mixed-methods study on the pharmacological management of pain in Australian and Japanese nursing homes.

BACKGROUND: Understanding how analgesics are used in different countries can inform initiatives to improve the pharmacological management of pain in nursing homes. AIMS: To compare patterns of analgesic use among Australian and Japanese nursing home residents; and explore Australian and Japanese healthcare professionals' perspectives on analgesic use. METHODS: Part one involved a cross-sectional comparison among residents from 12 nursing homes in South Australia (N = 550) in 2019 and four nursing homes in Tokyo (N = 333) in 2020. Part two involved three focus groups with Australian and Japanese healthcare professionals (N = 16) in 2023. Qualitative data were deductively content analysed using the World Health Organization six-step Guide to Good Prescribing. RESULTS: Australian and Japanese residents were similar in age (median: 89 vs 87) and sex (female: 73% vs 73%). Overall, 74% of Australian and 11% of Japanese residents used regular oral acetaminophen, non-steroidal anti-inflammatory drugs or opioids. Australian and Japanese healthcare professionals described individualising pain management and the first-line use of acetaminophen. Australian participants described their therapeutic goal was to alleviate pain and reported analgesics were often prescribed on a regular basis. Japanese participants described their therapeutic goal was to minimise impacts of pain on daily activities and reported analgesics were often prescribed for short-term durations, corresponding to episodes of pain. Japanese participants described regulations that limit opioid use for non-cancer pain in nursing homes. CONCLUSION: Analgesic use is more prevalent in Australian than Japanese nursing homes. Differences in therapeutic goals, culture, analgesic regulations and treatment durations may contribute to this apparent difference.

Deprescribing Opportunities for Frail Residents of Nursing Homes: A Multicenter Study in Australia, China, Japan, and Spain.

OBJECTIVE: Deprescribing opportunities may differ across health care systems, nursing home settings, and prescribing cultures. The objective of this study was to compare the prevalence of STOPPFrail medications according to frailty status among residents of nursing homes in Australia, China, Japan, and Spain. DESIGN: Secondary cross-sectional analyses of data from 4 cohort studies. SETTING AND PARTICIPANTS: A total of 1142 residents in 31 nursing homes. METHODS: Medication data were extracted from resident records. Frailty was assessed using the FRAIL-NH scale (non-frail 0-2; frail 3-6; most-frail 7-14). Chi-square tests and prevalence ratios (PRs) were used to compare STOPPFrail medication use across cohorts. RESULTS: In total, 84.7% of non-frail, 95.6% of frail, and 90.6% of most-frail residents received ≥1 STOPPFrail medication. Overall, the most prevalent STOPPFrail medications were antihypertensives (53.0% in China to 73.3% in Australia, P < .001), vitamin D (nil in China to 52.7% in Australia, P < .001), lipid-lowering therapies (11.1% in Japan to 38.9% in Australia, P < .001), aspirin (13.5% in Japan to 26.2% in China, P < .001), proton pump inhibitors (2.1% in Japan to 32.0% in Australia, P < .001), and antidiabetic medications (12.3% in Japan to 23.5% in China, P = .010). Overall use of antihypertensives (PR, 1.15; 95% CI, 1.06-1.25), lipid-lowering therapies (PR, 1.78; 95% CI, 1.45-2.18), aspirin (PR, 1.31; 95% CI, 1.04-1.64), and antidiabetic medications (PR, 1.31; 95% CI, 1.00-1.72) were more prevalent among non-frail and frail residents compared with most-frail residents. Antihypertensive use was more prevalent with increasing frailty in China and Japan, but less prevalent with increasing frailty in Australia. Antidiabetic medication use was less prevalent with increasing frailty in China and Spain but was consistent across frailty groups in Australia and Japan. CONCLUSIONS AND IMPLICATIONS: There were overall and frailty-specific variations in prevalence of different STOPPFrail medications across cohorts. This may reflect differences in prescribing cultures, application of clinical practice guidelines in the nursing home setting, and clinician or resident attitudes toward deprescribing.

IMPAACT: IMproving the PArticipAtion of older people in policy decision-making on common health CondiTions - a study protocol.

INTRODUCTION: Rapid population ageing is a demographic trend being experienced and documented worldwide. While increased health screening and assessment may help mitigate the burden of illness in older people, issues such as misdiagnosis may affect access to interventions. This study aims to elicit the values and preferences of evidence-informed older people living in the community on early screening for common health conditions (cardiovascular disease, diabetes, dementia and frailty). The study will proceed in three Phases: (1) generating recommendations of older people through a series of Citizens' Juries; (2) obtaining feedback from a diverse range of stakeholder groups on the jury findings; and (3) co-designing a set of Knowledge Translation resources to facilitate implementation into research, policy and practice. Conditions were chosen to reflect common health conditions characterised by increasing prevalence with age, but which have been underexamined through a Citizens' Jury methodology. METHODS AND ANALYSIS: This study will be conducted in three Phases-(1) Citizens' Juries, (2) Policy Roundtables and (3) Production of Knowledge Translation resources. First, older people aged 50+ (n=80), including those from traditionally hard-to-reach and diverse groups, will be purposively recruited to four Citizen Juries. Second, representatives from a range of key stakeholder groups, including consumers and carers, health and aged care policymakers, general practitioners, practice nurses, geriatricians, allied health practitioners, pharmaceutical companies, private health insurers and community and aged care providers (n=40) will be purposively recruited for two Policy Roundtables. Finally, two researchers and six purposively recruited consumers will co-design Knowledge Translation resources. Thematic analysis will be performed on documentation and transcripts. ETHICS AND DISSEMINATION: Ethical approval has been obtained through the Torrens University Human Research Ethics Committee. Participants will give written informed consent. Findings will be disseminated through development of a policy brief and lay summary, peer-reviewed publications, conference presentations and seminars.

The risk of fractures after entering long-term care facilities.

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.