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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.
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AIM: To assess the impact of comorbidities on prostate cancer mortality. METHODS: We studied 15,695 South Australian men diagnosed with prostate cancer between 2003 and 2019 from state-wide administrative linked data sets. Comorbidity was measured 1-year before prostate cancer diagnosis using Rx-Risk, a medication-based comorbidity index. Flexible parametric competing risk regression was used to estimate the independent association between comorbidities and prostate cancer-specific mortality. Specific common comorbidities within Rx-Risk (cardiac disorders, diabetes, chronic airway diseases, depression and anxiety, thrombosis, and pain) were also assessed to determine their association with mortality. All models were adjusted for sociodemographic variables, tumor characteristics, and treatment type. RESULTS: Prostate cancer-specific mortality was higher for patients with a Rx-Risk score ≥3 versus 0 (adjusted sub-hazard ratio (sHR) 1.34, 95% CI: 1.15-1.56). Lower comorbidity scores (Rx-Risk score 2 vs. 0 and Rx-Risk score 1 vs. 0) were not significantly associated with prostate cancer-specific mortality. Men who were using medications for cardiac disorders (sHR 1.31, 95% CI: 1.13-1.52), chronic airway disease (sHR 1.20, 95% CI: 1.01-1.44), depression and anxiety (sHR 1.17, 95% CI: 1.02-1.35), and thrombosis (sHR 1.21, 95% CI: 1.04-1.42) were at increased risk of dying from prostate cancer compared with men not on those medications. Use of medications for diabetes and chronic pain were not associated with prostate cancer-specific mortality. All Rx-Risk score categories and the specific comorbidities were also associated with increased risk of all-cause mortality. CONCLUSION: The findings showed that ≥3 comorbid conditions and specific comorbidities including cardiac disease, chronic airway disease, depression and anxiety, and thrombosis were associated with poor prostate cancer-specific survival. Appropriate management of these comorbidities may help to improve survival in prostate cancer patients.
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Comorbidade , Neoplasias da Próstata , Humanos , Masculino , Neoplasias da Próstata/mortalidade , Neoplasias da Próstata/epidemiologia , Idoso , Pessoa de Meia-Idade , Estudos de Coortes , Idoso de 80 Anos ou mais , Austrália do Sul/epidemiologia , Depressão/epidemiologia , Cardiopatias/mortalidade , Cardiopatias/epidemiologia , Diabetes Mellitus/epidemiologia , Diabetes Mellitus/mortalidade , Ansiedade/epidemiologiaRESUMO
OBJECTIVE: Prostate cancer can significantly impact mental wellbeing, creating uncertainty and morbidity. This study described patterns of psychotropic medication and mental health service use, as a proxy measure for mental health problems, 5 years before and 5 years after prostate cancer diagnosis. METHODS: Population-based registry data were linked with Pharmaceutical Benefits Scheme and Medicare Benefits Schedule data for all prostate cancer patients diagnosed in South Australia between 2012 and 2020 (n = 13,693). We estimated the proportion and rates of psychotropic medication and mental health service use before and after diagnosis. Multivariable adjusted interrupted time series analyses (ITSA) were conducted to uncover temporal patterns. RESULTS: Fifteen percent of men commenced psychotropic medications and 6.4% sought out mental health services for the first time after diagnosis. Psychotropic medication use rose from 34.5% 5 years before to 40.3% 5 years after diagnosis, including an increase in use of antidepressants (from 20.7% to 26.0%) and anxiolytics (from 11.3% to 12.8%). Mental health service use increased from 10.2% to 12.1%, with the increase mostly being general practice mental health visits (from 7.8% to 10.6%). Multivariable ITSA indicated a significant rise in medication and service utilisation immediately before and in the first 2 years following prostate cancer diagnosis. CONCLUSION: There is a clear increase in psychotropic medication use and mental health service use around the time of prostate cancer diagnosis. Mental health outcomes of men with prostate cancer may be improved with early mental health screening, particularly during the diagnosis process, to enable early intervention.
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Serviços de Saúde Mental , Neoplasias da Próstata , Psicotrópicos , Humanos , Masculino , Neoplasias da Próstata/tratamento farmacológico , Neoplasias da Próstata/psicologia , Neoplasias da Próstata/terapia , Idoso , Serviços de Saúde Mental/estatística & dados numéricos , Pessoa de Meia-Idade , Psicotrópicos/uso terapêutico , Austrália do Sul , Idoso de 80 Anos ou mais , Saúde Mental , Transtornos Mentais/epidemiologia , Transtornos Mentais/tratamento farmacológico , Sistema de Registros , Análise de Séries Temporais Interrompida , Ansiolíticos/uso terapêutico , Antidepressivos/uso terapêutico , Aceitação pelo Paciente de Cuidados de Saúde/estatística & dados numéricosRESUMO
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.
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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.
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Povos Aborígenes Australianos e Ilhéus do Estreito de Torres , Definição da Elegibilidade , Idoso , Idoso de 80 Anos ou mais , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Austrália/epidemiologia , Serviços de Saúde para Idosos/estatística & dados numéricos , Serviços de Saúde do Indígena/estatística & dados numéricos , Estudos RetrospectivosRESUMO
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.
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Antipsicóticos , População Australasiana , Demência , Indicadores de Qualidade em Assistência à Saúde , Humanos , Antipsicóticos/uso terapêutico , Masculino , Feminino , Demência/tratamento farmacológico , Idoso , Idoso de 80 Anos ou mais , Estudos Retrospectivos , Austrália , Instituição de Longa Permanência para Idosos/estatística & dados numéricos , Instituição de Longa Permanência para Idosos/normasRESUMO
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.
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População Australasiana , Serviços de Assistência Domiciliar , Serviços de Saúde Mental , Humanos , Idoso , Austrália , Estudos Retrospectivos , Programas Nacionais de Saúde , DorRESUMO
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.
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População Australasiana , Demência , Fraturas Ósseas , Assistência de Longa Duração , Casas de Saúde , Idoso , Idoso de 80 Anos ou mais , Feminino , Humanos , Masculino , População Australasiana/estatística & dados numéricos , Austrália/epidemiologia , Demência/epidemiologia , Di-Hidroxifenilalanina , Fraturas Ósseas/epidemiologia , Assistência de Longa Duração/estatística & dados numéricos , Casas de Saúde/estatística & dados numéricos , Fatores de RiscoRESUMO
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.
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Serviço Hospitalar de Emergência , Hospitalização , Idoso , Humanos , Estudos Retrospectivos , AustráliaRESUMO
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.
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Hipoglicemiantes , Assistência de Longa Duração , Humanos , Idoso , Hipoglicemiantes/uso terapêutico , Masculino , Feminino , Estudos Transversais , Idoso de 80 Anos ou mais , Assistência de Longa Duração/tendências , Assistência de Longa Duração/estatística & dados numéricos , Austrália/epidemiologia , Diabetes Mellitus/tratamento farmacológico , Diabetes Mellitus/epidemiologia , Metformina/uso terapêutico , Insulina/uso terapêutico , Inibidores da Dipeptidil Peptidase IV/uso terapêutico , Diabetes Mellitus Tipo 2/tratamento farmacológico , Diabetes Mellitus Tipo 2/epidemiologia , Compostos de Sulfonilureia/uso terapêuticoRESUMO
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 aged and health 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 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 the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). REVIEW REGISTRATION: Open Science Framework osf.io/8czun.
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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.
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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.