Health status and healthcare trends of individuals accessing Australian aged care programmes over a decade: the Registry of Senior Australians historical cohort

National Trends in Antidepressant Use in Australian Residential Aged Care Facilities (2006-2019)

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.

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.

The matter of grief, loss and bereavement in families of those living and dying in residential aged care setting: A systematic review

The grief, loss and bereavement needs of the families of those living and dying in residential aged care setting is not very well understood. This systematic review examines grief, loss, and bereavement experience of, and interventions relating to, family caregivers of those entering, living and dying in residential aged care. Out of 2023 papers that were identified, 35 met the inclusion criteria which included (n=28) qualitative and (n=7) quantitative intervention studies. The qualitative findings indicated quality of care provided to the resident at the end of their life, and after death care influenced family caregivers' grief reactions. The intervention studies revealed that educational interventions have the potential to lead to some benefits in the context of grief loss and bereavement outcomes. Recognizing the emotional experiences and support needs of families and carers may enhance the understanding of the ageing, caring, dying, grieving pathway for older people and their families.

Predictors of mortality shortly after entering a long-term care facility

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.

Primary, allied health, selected specialists, and mental health service utilisation by home care recipients in Australia before and after accessing the care, 2017-2019

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.

Psychological therapies for depression in older adults residing in long-term care settings

BACKGROUND

Depression is common amongst older people residing in long-term care (LTC) facilities. Currently, most residents treated for depression are prescribed antidepressant medications, despite the potential availability of psychological therapies that are suitable for older people and a preference amongst many older people for non-pharmacological treatment approaches.

OBJECTIVES

To assess the effect of psychological therapies for depression in older people living in LTC settings, in comparison with treatment as usual, waiting list control, and non-specific attentional control; and to compare the effectiveness of different types of psychological therapies in this setting.

SEARCH METHODS

We searched the Cochrane Common Mental Disorders Group Controlled Trials Register, CENTRAL, MEDLINE, Embase, five other databases, five grey literature sources, and two trial registers. We performed reference checking and citation searching, and contacted study authors to identify additional studies. The latest search was 31 October 2021.

SELECTION CRITERIA

We included randomized controlled trials (RCTs) and cluster-RCTs of any type of psychological therapy for the treatment of depression in adults aged 65 years and over residing in a LTC facility.

DATA COLLECTION AND ANALYSIS

Two review authors independently screened titles/abstracts and full-text manuscripts for inclusion. Two review authors independently performed data extraction and risk of bias assessments using the Cochrane RoB 1 tool. We contacted study authors for additional information where required. Primary outcomes were level of depressive symptomatology and treatment non-acceptability; secondary outcomes included depression remission, quality of life or psychological well-being, and level of anxious symptomatology. We used Review Manager 5 to conduct meta-analyses, using pairwise random-effects models. For continuous data, we calculated standardized mean differences and 95% confidence intervals (CIs), using endpoint data, and for dichotomous data, we used odds ratios and 95% CIs. We used GRADE to assess the certainty of the evidence.

MAIN RESULTS

We included 19 RCTs with 873 participants; 16 parallel group RCTs and three cluster-RCTs. Most studies compared psychological therapy (typically including elements of cognitive behavioural therapy, behavioural therapy, reminiscence therapy, or a combination of these) to treatment as usual or to a condition controlling for the effects of attention. We found very low-certainty evidence that psychological therapies were more effective than non-therapy control conditions in reducing symptoms of depression, with a large effect size at end-of-intervention (SMD -1.04, 95% CI -1.49 to -0.58; 18 RCTs, 644 participants) and at short-term (up to three months) follow-up (SMD -1.03, 95% CI -1.49 to -0.56; 16 RCTs, 512 participants). In addition, very low-certainty evidence from a single study with 82 participants indicated that psychological therapy was associated with a greater reduction in the number of participants presenting with major depressive disorder compared to treatment as usual control, at end-of-intervention and short-term follow-up. However, given the limited data on the effect of psychological therapies on remission of major depressive disorder, caution is advised in interpreting this result. Participants receiving psychological therapy were more likely to drop out of the trial than participants receiving a non-therapy control (odds ratio 3.44, 95% CI 1.19 to 9.93), which may indicate higher treatment non-acceptability. However, analyses were restricted due to limited dropout case data and imprecise reporting, and the finding should be interpreted with caution. There was very low-certainty evidence that psychological therapy was more effective than non-therapy control conditions in improving quality of life and psychological well-being at short-term follow-up, with a medium effect size (SMD 0.51, 95% CI 0.19 to 0.82; 5 RCTs, 170 participants), but the effect size was small at postintervention (SMD 0.40, 95% CI -0.02 to 0.82; 6 RCTs, 195 participants). There was very low-certainty evidence of no effect of psychological therapy on anxiety symptoms postintervention (SMD -0.68, 95% CI -2.50 to 1.14; 2 RCTs, 115 participants), although results lacked precision, and there was insufficient data to determine short-term outcomes.

AUTHORS' CONCLUSIONS

This systematic review suggests that cognitive behavioural therapy, behavioural therapy, and reminiscence therapy may reduce depressive symptoms compared with usual care for LTC residents, but the evidence is very uncertain. Psychological therapies may also improve quality of life and psychological well-being amongst depressed LTC residents in the short term, but may have no effect on symptoms of anxiety in depressed LTC residents, compared to control conditions. However, the evidence for these effects is very uncertain, limiting our confidence in the findings. The evidence could be strengthened by better reporting and higher-quality RCTs of psychological therapies in LTC, including trials with larger samples, reporting results separately for those with and without cognitive impairment and dementia, and longer-term outcomes to determine when effects wane.

Hospitalisations and emergency department presentations by older individuals accessing long-term aged care in Australia

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.

Excess mortality in residents of aged care facilities during COVID-19 in Australia, 2019-22

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.

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.

Primary health care service utilisation before and after entry into long-term care in Australia

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.

Neuropsychiatric symptoms of dementia in those with and without a recorded history of psychological trauma: A comparative study from an Australian dementia support service

OBJECTIVE

To compare the number and severity of neuropsychiatric symptoms (NPS) and associated caregiver distress between those with and without a noted history of psychological trauma among those referred to a specialised national dementia NPS support service.

METHODS

This was a 5-year retrospective observational study of records from the Dementia Support Australia NPS support service. NPS were reported by formal or informal caregivers at service entry using the Neuropsychiatric Inventory Nursing Home version or Questionnaire version. A history of psychological trauma was recorded in the person's social or medical history and/or endorsed as a contributor to NPS by a trained dementia consultant after a comprehensive clinical review. Regression was used to examine the impact of a recorded history of psychological trauma on NPS severity and associated caregiver distress, controlling for age and sex.

RESULTS

Among 41,876 eligible referrals with dementia, 6% (n = 2529) had some reference in their records to a history of psychological trauma. Referrals with a recorded history of psychological trauma were rated with a higher rate of both NPS severity (mean = 12.0) and associated caregiver distress (mean = 16.5) at service entry than those without a recorded history of psychological trauma (means = 10.7 and 14.5, respectively). A recorded history of psychological trauma was associated with higher odds of psychotic symptoms, agitation/aggression, irritability, disinhibition, affective symptoms and night-time behaviours.

CONCLUSIONS

Traumatic stress symptoms may represent a neglected target for intervention to reduce the impact of NPS in people with dementia.

Death by suicide among aged care recipients in Australia 2008-2017

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.

Primary, allied health, geriatric, pain and palliative healthcare service utilisation by aged care residents, 2012-2017

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.

Cohort profile: GRACE - a residential aged care cohort examining factors influencing antimicrobial resistance carriage

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.

Prevalence and Preventability of Adverse Medicine Events in a Sample of Australian Aged-Care Residents: A Secondary Analysis of Data from the ReMInDAR Trial

BACKGROUND

Aged care residents are vulnerable to the harmful effects of medicines; however, data on the prevalence and preventability of adverse medicine events in aged care residents are scarce.

AIM

To determine the prevalence and preventability of adverse medicine events in Australian aged care residents.

METHODS

A secondary analysis of data from the Reducing Medicine-Induced Deterioration and Adverse Reactions (ReMInDAR) trial was conducted. Potential adverse medicine events were identified and independently screened by two research pharmacists to produce a short-list of potential adverse medicine events. An expert clinical panel reviewed each potential adverse medicine to determine the likelihood that the event was medicine related (based on the Naranjo Probability Scale criteria). The clinical panel assessed preventability of medicine-related events using Schumock-Thornton criteria.

RESULTS

There were 583 adverse events due to medicines, involving 154 residents (62% of the 248 study participants). There was a median of three medication-related adverse events (interquartile range [IQR] 1-5) per resident over the 12-month follow-up period. The most common medication-related adverse events were falls (56%), bleeding (18%) and bruising (9%). There were 482 (83%) medication-related adverse events that were preventable, most commonly falls (66% of preventable adverse medicine events), bleeding (12%) and dizziness (8%). Of the 248 residents, 133 (54% of the cohort) had at least one preventable adverse medicine event, with a median of 2 (IQR 1-4) preventable adverse medicine events per resident.

CONCLUSION

In total, 62% of aged care residents in our study had an adverse medicine event and 54% had a preventable adverse medicine event in a 12-month period.

Aged and Health Care Service Utilization by Older Australians Receiving Home Care Packages

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.

Development of a Multivariable Prediction Model for Risk of Hospitalization With Pressure Injury After Entering Residential Aged Care

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.

Registry of Senior Australians (ROSA): integrating cross-sectoral information to evaluate quality and safety of care provided to older people

PURPOSE

The Registry of Senior Australians (ROSA) was established to evaluate aged care experiences in Australia. In this manuscript, we describe the ROSA framework, the two ROSA cohorts, highlights from research findings, and future plans.

PARTICIPANTS

The South Australian ROSA Prospective Cohort (August 2018-June 2020) enrolled 26 605 participants, of which 59.2% (N=15 745) are women, with a median age of 83 (interquartile range (IQR) 77-88). The National ROSA Historical Cohort (January 2002-June 2020) includes 1 694 206 participants with an aged care eligibility assessment, of which 59.1% (N=1 001 705) are women and the median age is 78 (IQR 72-83).

FINDINGS TO DATE

Most research using the ROSA has focused on dementia, service accessibility, quality and safety of care, falls and injuries and quality use of medicines. The ROSA has also examined the experience of individuals with highly prevalent and understudied conditions in aged care settings (eg, eye and mental health) and aspects of services (eg, built environment) and innovation (eg, mobile radiological services) that can affect older people's health. Important learnings from the ROSA's development include the significant resources and multidisciplinary expertise required for establishing this platform. Between 2018 and 2022, 43 academic publications, eight reports of the Australian Government Royal Commission into Aged Care Quality and Safety, and several reports to state health authorities and professional societies have used the ROSA.

FUTURE PLANS

Our plans include to: (1) continue delivering high-quality evidence to support the improvement of ageing and aged care services; (2) influence and improve the quality of research in and for the aged care sector; (3) expand scope to facilitate examining aims in more depth; (4) include future aged care sector data collections within the ROSA; (5) inform best practices and innovate how consumer engagement occurs in research; (6) monitor and evaluate the impact of the 2021 Australian Aged Care Reforms.

Program to Enhance Adjustment to Residential Living (PEARL): Effect on Adjustment, Anxiety, Quality of Life, and Stress

OBJECTIVES

The Program to Enhance Adjustment to Residential Living (PEARL) is a five session intervention primarily designed to address high rates of depression in newly admitted residents. This study reports the efficacy of PEARL on secondary outcomes of resident adjustment, symptoms of anxiety, quality of life, and stress.

METHODS

A cluster randomized controlled trial was conducted with 219 newly admitted nursing home residents (M age = 85.5 years) from 42 nursing homes. Outcomes were assessed at baseline, post-intervention, and at two and six month post-intervention follow-up, compared to a standard care condition.

RESULTS

There was a significant overall condition by time interaction for adjustment (p = .027) and quality of life (p = .015), but not for stress (p = .309). While the overall condition by time interaction was not significant for anxiety (p = .221), there was a significant interaction contrast six-month post-intervention, indicating a greater decrease in anxiety scores in the intervention group relative to control (p = .039).

CONCLUSIONS

This study demonstrates the broad effects of PEARL on the wellbeing of newly admitted residents.

CLINICAL IMPLICATIONS

PEARL is a brief intervention that may be feasible for routine use in nursing homes to facilitate adjustment and improve residents' quality of life.

Stakeholders' perspectives of mobile x-ray services in support of healthcare-in-place in residential aged care facilities: a qualitative study

Background

There is interest in reducing avoidable emergency department presentations from residential aged care facilities (RACF). Mobile x-ray services may enable the delivery of healthcare in residential aged care facilities. Accordingly, the Australian Government in November 2019 introduced a Medicare Benefit Schedule rebate providing for a ‘call-out’ fee payable to radiology service providers.

This study aims to understand stakeholder perspectives on the benefits of mobile x-ray services and the factors influencing their adoption by RACFs.

Design, setting, participants

Twenty-two semi-structured interviews were conducted between October 2020 and February 2021 with a range of stakeholders involved in healthcare delivery to residents: a) general practitioners; b) emergency department clinicians; c) paramedic clinicians; d) a hospital avoidance clinician; e) radiology clinicians and managers; and f) aged care clinicians and managers. Thematic analysis was conducted.

Results

Mobile x-ray services were considered valuable for RACF residents. Lack of timely general practitioner in-person assessment and referral, as well as staffing deficits in residential aged care facilities, reduces optimal use of mobile x-ray services and results in potentially unnecessary hospital transfers.

Conclusions

The use of mobile x-ray services, as a hospital avoidance strategy, depends on the capacity of RACFs to provide more complex healthcare-in-place. However, this requires greater access to general practitioners for in-person assessment and referral, adequate staffing numbers and appropriately skilled nursing staff within residential aged care facilities.

Quality and safety indicators for home care recipients in Australia: development and cross-sectional analyses

Objectives

To develop and examine the prevalence of quality and safety indicators to monitor care of older Australians receiving home care packages (HCPs), a government-funded aged care programme to support individuals to live at home independently.

Design

Cross-sectional.

Setting

Home care recipients, Australia.

Participants

90 650 older individuals (aged ≥65 years old and ≥50 years old for people of Aboriginal or Torres Strait Islander descent) who received a HCP between 1 January 2016 and 31 December 2016 nationally were included.

Primary and secondary outcome measures

The Registry of Senior Australians developed 15 quality and safety indicators: antipsychotic use, high sedative load, chronic opioid use, antimicrobial use, premature mortality, home medicines reviews, chronic disease management plan, wait-time for HCP, falls, fractures, medication-related adverse events, weight loss/malnutrition, delirium/dementia-related hospitalisations, emergency department (ED) presentations and pressure injuries. Risk adjusted prevalence (%, 95% CI) and geographical area (statistical level 3) variation during 2016 were examined.

Results

In 2016, a total of 102 590 HCP episodes were included for 90 650 individuals, with 66.9% (n=68 598) level 1–2 HCP episodes (ie, for basic care needs) and 33.1% (n=33 992) level 3–4 HCP (ie, higher care needs). The most prevalent indicators included: antibiotic use (52.4%, 95% CI 52.0 to 52.7), chronic disease management plans (38.1%, 95% CI 37.8 to 38.4), high sedative load (29.1%, 95% CI 28.8 to 29.4) and ED presentations (26.4%, 95% CI 25.9 to 26.9). HCP median wait time was 134 days (IQR 41–406). Geographical variation was highest in chronic disease management plans and ED presentations (20.7% of areas outside expected range).

Conclusion

A comprehensive outcome monitoring system to monitor the quality and safety of care and variation for HCP recipients was developed. It provides a pragmatic, efficient and low burden tool to support evidence-based quality and safety improvement initiatives for the aged care sector.

Primary and Secondary Care Related Quality Indicators for Dementia Care Among Australian Aged Care Users: National Trends, Risk Factors, and Variation

Background: Studies related to clinical quality indicators (CQIs) in dementia have focused on hospitalizations, medication management, and safety. Less attention has been paid to indicators related to primary and secondary care. Objective: To evaluate the incidence of primary and secondary care CQIs for Australians with dementia using government-subsidized aged care. The examined CQIs were: comprehensive medication reviews, 75+ health assessments, comprehensive geriatric assessments, chronic disease management plans, general practitioner (GP) mental health treatment plans, and psychiatrist attendances. Methods: Retrospective cohort study (2011–2016) of 255,458 individuals. National trend analyses estimated incidence rates and 95% confidence intervals (CI) using Poisson or negative binomial regression. Associations were assessed using backward stepwise multivariate Poisson or negative binomial regression model, as appropriate. Funnel plots examined geographic and PRAC facility variation. Results: CQI incidence increased in all CQIs but medication reviews. For the overall cohort, 75+ health assessments increased from 1.07/1000 person-days to 1.16/1000 person-days (adjusted incidence rate ratio (aIRR) = 1.03, 95% CI 1.02–1.03).Comprehensive geriatric assessments increased from 0.24 to 0.37/1000 person-days (aIRR = 1.12, 95% CI 1.10–1.14). GP mental health treatment plans increased from 1.30 to 2.1/1000 person-days (aIRR = 1.13, 95% CI 1.12–1.15). Psychiatric attendances increased from 0.09 to 0.11/1000 person-days (aIRR = 1.05, 95% CI 1.03–1.07). Being female, older, having fewer comorbidities, and living outside a major city were associated with lower likelihood of using the services. Large geographical and facility variation was observed (0–92%). Conclusion: Better use of primary and secondary care services to address needs of individuals with dementia is urgently needed.

Government-subsidised mental health services are underused in Australian residential aged care facilities

ObjectiveTo describe patterns of use of the available Government-subsidised mental health services among people living in Australian residential aged care facilities.MethodsA retrospective population-based trend analysis was conducted, including all non-Indigenous people living in an Australian facility between 2012 and 2017. Adjusted incidence proportions and trends were estimated for four groups of mental health services.ResultsThe use of Medicare-subsidised mental health services was very low overall. The proportion of residents who accessed primary care mental health services increased from 1.3% in 2012/2013 to 2.4% in 2016/2017, while psychiatry service use increased from 1.9 to 2.3%. Claims for clinical psychology increased from 0.18 to 0.26%, and claims for a registered psychologist, occupational therapist or social worker rose from 0.45 to 1.2%. People with dementia were less likely than people without dementia to access all services aside from psychiatry services.ConclusionsLess than 3% of residents accessed funding subsidies for mental health services and people with dementia experienced pronounced barriers to service access. Mental health care is a pillar of the publicly-funded health system in Australia, and low use of these services among aged care residents indicates a need for organisational and policy changes to improve access.

Provision of a comprehensive medicines review is associated with lower mortality risk for residents of aged care facilities: a retrospective cohort study

Background

no studies have examined the impact of residential medication management review (RMMR, a 24-year government subsidised comprehensive medicines review program) in Australian residential aged care facilities (RACFs) on hospitalisation or mortality.

Objective

to examine associations between RMMR provision in the 6–12 months after RACF entry and the 12-month risk of hospitalisation and mortality among older Australians in RACFs.

Design

retrospective cohort study.

Subjects

individuals aged 65–105 years taking at least one medicine, who entered an RACF in three Australian states between 1 January 2012 and 31 December 2015 and spent at least 6 months in the RACF (n = 57,719).

Methods

Cox regression models estimated adjusted hazard ratios (aHRs) with 95% confidence intervals (CIs) for associations between RMMR provision and mortality. Adjusted subdistribution hazard ratios were estimated for associations between RMMR provision and next (i) emergency department (ED) presentation or unplanned hospitalisation or (ii) fall-related ED presentation or hospitalisation.

Results

there were 12,603 (21.8%) individuals who received an RMMR within 6–12 months of RACF entry, of whom 22.2% (95%CI 21.4–22.9) died during follow-up, compared with 23.3% (95%CI 22.9–23.7) of unexposed individuals. RMMR provision was associated with a lower risk of death due to any cause over 12-months (aHR 0.96, 95%CI 0.91–0.99), but was not associated with ED presentations or hospitalisations for unplanned events or falls.

Conclusions

provision of an RMMR in the 6–12 months after RACF entry is associated with a 4.4% lower mortality risk over 12-months but was not associated with changes in hospitalisations for unplanned events or falls.

Medicines use before and after comprehensive medicines review among residents of long-term care facilities: a retrospective cohort study

Background

Residential Medication Management Review (RMMR) is a subsidized comprehensive medicines review program for individuals in Australian residential aged care facilities (RACFs). This study examined weekly trends in medicines use in the four months before and after an RMMR and among a comparison group of residents who did not receive an RMMR.

Methods

This retrospective cohort study included individuals aged 65 to 105 years who first entered permanent care between 1/1/2012 and 31/12/2016 in South Australia, Victoria, or New South Wales, and were taking at least one medicine. Individuals with an RMMR within 12 months of RACF entry were classified into one of three groups: (i) RMMR within 0 to 3 months, (ii) 3 to 6 months, or (iii) within 6 to 12 months of RACF entry. Individuals without RMMRs were included in the comparison group. Weekly trends in the number of defined daily doses per 1000 days were determined in the four months before and after the RMMR (or assigned index date in the comparison group) for 14 medicine classes.

Results

113909 individuals from 1979 RACFs were included, of whom 55021 received an RMMR. Across all three periods examined, decreased use of statins and proton pump inhibitors was observed post-RMMR in comparison to those without RMMRs. Decreases in calcium channel blockers, benzodiazepines/zopiclone, and antidepressants were observed following RMMR provision in the 3–6 and 6–12 months after RACF entry. Negligible changes in antipsychotic use were also observed following an RMMR in the 6–12 months after RACF entry by comparison to those without RMMRs. No changes in use of opioids, ACE inhibitors/sartans, beta blockers, loop diuretics, oral anticoagulants, or medicines for osteoporosis, diabetes or the cognitive symptoms of dementia were observed post-RMMR.

Conclusions

For six of the 14 medicine classes investigated, modest changes in weekly trends in use were observed after the provision of an RMMR in the 6–12 months after RACF entry compared to those without RMMRs. Findings suggest that activities such as medicines reconciliation may be prioritized when an RMMR is provided on RACF entry, with deprescribing more likely after an RMMR the longer a resident has been in the RACF.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03187-0.

The Utilization and National Variation of Plain X-Ray Services by Australian Residents of Long-Term Care Facilities

OBJECTIVES

To (1) estimate incidence, trends, and determinants of government-subsidized diagnostic radiography (ie, plain x-ray) services utilization by Australian long-term care facility (LTCF) residents between 2009 and 2016; (2) examine national variation in services use.

DESIGN

A repeated cross-sectional study.

SETTING AND PARTICIPANTS

Australian LTCF residents who were ≥65 years old.

METHODS

Medicare Benefits Schedule subsidized plain x-rays employed for diagnosing fall-related injuries, pneumonia, heart failure, and acute abdomen or bowel obstruction were identified. Yearly sex- and age-standardized utilization rates were calculated. Poisson and negative binomial regression models were employed. Facility-level variation was examined graphically. Overall and examination site-specific analyses were conducted.

RESULTS

A total of 521,497 LTCF episodes for 453,996 individuals living in 3018 LTCFs were examined. The median age was 84 years (interquartile range 79-88), 65% (n = 339,116) were women, and 53.9% (n = 281,297) had dementia. In addition, 34.5% (n = 341,6863) of episodes had at least 1 x-ray service. Overall, there was a 12% increase in utilization between 2009 and 2016 (from 535/1000 in 2009 to 602/1000 person-years in 2016, incidence rate ratio=1.02, 95% CI 1.02-1.02). Factors associated with x-ray use included being 80-89 years old, being a man, not having dementia, having multiple health conditions (4-6 or ≥7 compared to 0-3), being at a smaller facility (0-24 bed compared to 50-74), facility located in the Australian state of New South Wales, or in major cities (compared to regional areas). National variation in x-ray service use, with largest differences observed by state, was detected.

CONCLUSIONS AND IMPLICATIONS

Plain x-ray service utilization by LTCF residents increased 12% between 2009 and 2016. Sex, age, dementia status, having multiple health conditions as well as facility size, and location were associated with plain x-ray use in LTCFs and use varied geographically. Differences in x-ray service utilization by residents highlight lack of consistent access and potential over- or underutilization.

A vulnerable residential environment is associated with higher risk of mortality and early transition to permanent residential aged care for community dwelling older South Australians

Objectives

This study examined the impact of the residential environment, measured by the Healthy Ageing/Vulnerable ENvironment (HAVEN) Index, on risk of mortality or entry into Permanent Residential Aged Care (PRAC).

Design

A retrospective cohort study using data from the Registry of Senior Australians (ROSA) was conducted. HAVEN Index values were matched to the ROSA by residential postcode.

Study setting and Participants

Older individuals living in metropolitan Adelaide and receiving their first eligibility assessment for aged care services between 2014 and 2016 (N = 16,944).

Main Outcome Measure

Time to death and entry into PRAC were the main outcomes.

Results

A higher HAVEN Index value, which represents a favourable residential environment, was associated with a lower risk of mortality and delayed entry to PRAC. For every 0.1 unit increase in HAVEN Index value, the risk of mortality is 3% lower (adjusted hazard ratio [HR], 95% confidence interval [CI] = 0.97, 0.96–0.99) and the risk of entry to PRAC is 5% lower (adjusted subdistribution HR, 95%CI = 0.95, 0.94–0.97) in the first 2 years following aged care assessment. After 2 years, the HAVEN Index was not associated with the risk of transition to PRAC.

Conclusion

Place-based health inequalities were identified in Australians seeking aged care services, demonstrating that a better understanding of local neighbourhoods may provide insight into addressing ageing inequalities. Spatial indexes, such as the HAVEN Index, are useful tools to identify areas where populations are more vulnerable to adverse health outcomes, informing responses to prioritise local improvements and health interventions to enable healthy ageing.

The risk of fall-related hospitalisations at entry into permanent residential aged care

Background

Entering permanent residential aged care (PRAC) is a vulnerable time for individuals. While falls risk assessment tools exist, these have not leveraged routinely collected and integrated information from the Australian aged and health care sectors. Our study examined individual, system, medication, and health care related factors at PRAC entry that are predictors of fall-related hospitalisations and developed a risk assessment tool using integrated aged and health care data.

Methods

A retrospective cohort study was conducted on N = 32,316 individuals ≥65 years old who entered a PRAC facility (01/01/2009-31/12/2016). Fall-related hospitalisations within 90 or 365 days were the outcomes of interest. Individual, system, medication, and health care-related factors were examined as predictors. Risk prediction models were developed using elastic nets penalised regression and Fine and Gray models. Area under the receiver operating characteristics curve (AUC) assessed model discrimination.

Results

64.2% (N = 20,757) of the cohort were women and the median age was 85 years old (interquartile range 80-89). After PRAC entry, 3.7% (N = 1209) had a fall-related hospitalisation within 90 days and 9.8% (N = 3156) within 365 days. Twenty variables contributed to fall-related hospitalisation prediction within 90 days and the strongest predictors included fracture history (sub-distribution hazard ratio (sHR) = 1.87, 95% confidence interval (CI) 1.63-2.15), falls history (sHR = 1.41, 95%CI 1.21-2.15), and dementia (sHR = 1.39, 95%CI 1.22-1.57). Twenty-seven predictors of fall-related hospitalisation within 365 days were identified, the strongest predictors included dementia (sHR = 1.36, 95%CI 1.24-1.50), history of falls (sHR = 1.30, 95%CI 1.20-1.42) and fractures (sHR = 1.28, 95%CI 1.15-1.41). The risk prediction models had an AUC of 0.71 (95%CI 0.68-0.74) for fall-related hospitalisations within 90 days and 0.64 (95%CI 0.62-0.67) for within 365 days.

Conclusion

Routinely collected aged and health care data, when integrated at a clear point of action such as entry into PRAC, can identify residents at risk of fall-related hospitalisations, providing an opportunity for better targeting risk mitigation strategies.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-021-02640-w.

Predictors of hospitalisations and emergency department presentations shortly after entering a residential aged care facility in Australia: a retrospective cohort study

OBJECTIVES

To: (1) examine the 90-day incidence of unplanned hospitalisation and emergency department (ED) presentations after residential aged care facility (RACF) entry, (2) examine individual-related, facility-related, medication-related, system-related and healthcare-related predictors of these outcomes and (3) create individual risk profiles.

DESIGN

Retrospective cohort study using the Registry of Senior Australians. Fine-Gray models estimated subdistribution HRs and 95% CIs. Harrell's C-index assessed risk models' predictive ability.

SETTING AND PARTICIPANTS

Individuals aged ≥65 years old entering a RACF as permanent residents in three Australian states between 1 January 2013 and 31 December 2016 (N=116 192 individuals in 1967 RACFs).

PREDICTORS EXAMINED

Individual-related, facility-related, medication-related, system and healthcare-related predictors ascertained at assessments or within 90 days, 6 months or 1 year prior to RACF entry.

OUTCOME MEASURES

90-day unplanned hospitalisation and ED presentation post-RACF entry.

RESULTS

The cohort median age was 85 years old (IQR 80-89), 62% (N=71 861) were women, and 50.5% (N=58 714) had dementia. The 90-day incidence of unplanned hospitalisations was 18.0% (N=20 919) and 22.6% (N=26 242) had ED presentations. There were 34 predictors of unplanned hospitalisations and 34 predictors of ED presentations identified, 27 common to both outcomes and 7 were unique to each. The hospitalisation and ED presentation models out-of-sample Harrell's C-index was 0.664 (95% CI 0.657 to 0.672) and 0.655 (95% CI 0.648 to 0.662), respectively. Some common predictors of high risk of unplanned hospitalisation and ED presentations included: being a man, age, delirium history, higher activity of daily living, behavioural and complex care needs, as well as history, number and recency of healthcare use (including hospital, general practitioners attendances), experience of a high sedative load and several medications.

CONCLUSIONS

Within 90 days of RACF entry, 18.0% of individuals had unplanned hospitalisations and 22.6% had ED presentations. Several predictors, including modifiable factors, were identified at the time of care entry. This is an actionable period for targeting individuals at risk of hospitalisations.

National Trends and Policy Impacts on Provision of Home Medicines Reviews and Residential Medication Management Reviews in Older Australians, 2009-2019

Comprehensive medicines reviews such as Home Medicines Review (HMR) and Residential Medication Management Review (RMMR) can resolve medicines-related problems. Changes to Australia’s longstanding HMR and RMMR programs were implemented between 2011 and 2014. This study examined trends in HMR and RMMR provision among older Australians during 2009–2019 and determined the impact of program changes on service provision. Monthly rates of general medical practitioner (GP) HMR claims per 1000 people aged ≥65 years and RMMR claims per 1000 older residents of aged care facilities were determined using publicly available data. Interrupted time series analysis was conducted to examine changes coinciding with dates of program changes. In January 2009, monthly HMR and RMMR rates were 0.80/1000 older people and 20.17/1000 older residents, respectively. Small monthly increases occurred thereafter, with 1.89 HMRs/1000 and 34.73 RMMRs/1000 provided in February 2014. In March 2014, immediate decreases of –0.32 (95%CI –0.52 to –0.11) HMRs/1000 and –12.80 (95%CI –15.22 to –10.37) RMMRs/1000 were observed. There were 1.07 HMRs/1000 and 35.36 RMMRs/1000 provided in December 2019. In conclusion, HMR and RMMR program changes in March 2014 restricted access to subsidized medicines reviews and were associated with marked decreases in service provision. The low levels of HMR and RMMR provision observed do not represent a proactive approach to medicines safety and effectiveness among older Australians.

Temporal and regional trends of antibiotic use in long-term aged care facilities across 39 countries, 1985-2019: Systematic review and meta-analysis

BACKGROUND

Antibiotic misuse is a key contributor to antimicrobial resistance and a concern in long-term aged care facilities (LTCFs). Our objectives were to: i) summarise key indicators of systemic antibiotic use and appropriateness of use, and ii) examine temporal and regional variations in antibiotic use, in LTCFs (PROSPERO registration CRD42018107125).

METHODS & FINDINGS

Medline and EMBASE were searched for studies published between 1990-2021 reporting antibiotic use rates in LTCFs. Random effects meta-analysis provided pooled estimates of antibiotic use rates (percentage of residents on an antibiotic on a single day [point prevalence] and over 12 months [period prevalence]; percentage of appropriate prescriptions). Meta-regression examined associations between antibiotic use, year of measurement and region. A total of 90 articles representing 78 studies from 39 countries with data between 1985-2019 were included. Pooled estimates of point prevalence and 12-month period prevalence were 5.2% (95% CI: 3.3-7.9; n = 523,171) and 62.0% (95% CI: 54.0-69.3; n = 946,127), respectively. Point prevalence varied significantly between regions (Q = 224.1, df = 7, p<0.001), and ranged from 2.4% (95% CI: 1.9-2.7) in Eastern Europe to 9.0% in the British Isles (95% CI: 7.6-10.5) and Northern Europe (95% CI: 7.7-10.5). Twelve-month period prevalence varied significantly between regions (Q = 15.1, df = 3, p = 0.002) and ranged from 53.9% (95% CI: 48.3-59.4) in the British Isles to 68.3% (95% CI: 63.6-72.7) in Australia. Meta-regression found no association between year of measurement and antibiotic use prevalence. The pooled estimate of the percentage of appropriate antibiotic prescriptions was 28.5% (95% CI: 10.3-58.0; n = 17,245) as assessed by the McGeer criteria. Year of measurement was associated with decreasing appropriateness of antibiotic use over time (OR:0.78, 95% CI: 0.67-0.91). The most frequently used antibiotic classes were penicillins (n = 44 studies), cephalosporins (n = 36), sulphonamides/trimethoprim (n = 31), and quinolones (n = 28).

CONCLUSIONS

Coordinated efforts focusing on LTCFs are required to address antibiotic misuse in LTCFs. Our analysis provides overall baseline and regional estimates for future monitoring of antibiotic use in LTCFs.

Contribution of facility level factors to variation in antibiotic use in long-term care facilities: a national cohort study

OBJECTIVES

To examine national variation in systemic antibiotic use in long-term care facilities (LTCFs) and identify facility characteristics associated with antibiotic utilization.

METHODS

This retrospective cohort study included 312 375 residents of 2536 Australian LTCFs between 2011 and 2016. LTCFs were categorized as low, medium or high antibiotic use facilities according to tertiles of DDDs of systemic antibiotics dispensed per 1000 resident-days. Multivariable logistic regression estimated the associations between facility characteristics (ownership, size, location, medication quality indicator performance, prevalence of after-hours medical practitioner services) and antibiotic use (low versus high).

RESULTS

LTCFs in the lowest and highest antibiotic use categories received a median of 54.3 (IQR 46.5-60.5) and 106.1 (IQR 95.9-122.3) DDDs/1000 resident-days, respectively. Compared with not-for-profit LTCFs in major cities, government-owned non-metropolitan LTCFs were less likely to experience high antibiotic use [adjusted OR (aOR) 0.47, 95% CI 0.24-0.91]. LTCFs with 69-99 residents were less likely to experience high antibiotic use (aOR 0.69, 95% CI 0.49-0.97) than those with 25-47 residents annually. Greater prevalence of medical practitioner services accessed after-hours was associated with high antibiotic use [aOR 1.10 (per 10% increase in after-hours services), 95% CI 1.01-1.21]. South Australian LTCFs (aOR 2.17, 95% CI 1.38-3.39) were more likely, while Queensland (0.43, 95% CI 0.30-0.62) and Western Australian (aOR 0.34, 95% CI 0.21-0.57) LTCFs were less likely to experience high antibiotic use than New South Wales LTCFs.

CONCLUSIONS

Considerable facility level variation in systemic antibiotic use was observed across Australian LTCFs. Identification of facility characteristics associated with antibiotic use provides a basis for targeted stewardship initiatives.

Hospitalisation for lower respiratory viral infections in older people in residential aged care facilities

OBJECTIVE

To quantify incidence, trends and outcomes associated with lower respiratory viral infection (LRVI) hospitalisations in Australian residential aged care facilities (RACFs).

METHODS

A population-based cohort study of residents in RACFs aged ≥65 years from New South Wales (NSW), South Australia (SA) and Victoria (VIC) using data from the Registry of Senior Australians (2013-2016) was conducted. Age- and sex-standardised monthly and yearly LRVI hospitalisation incidences were calculated, and time trends and risk factors were assessed.

RESULTS

Of 268 657 residents included over the study period, 12% had ≥1 LRVI hospitalisation. Average annual incidence/1000 residents was 7.1 [6.9-7.2] in 2013, increasing to 7.8 [7.7-8.1] in 2016. Males, increasing co-morbidity, presence of CHF, respiratory disease and hypertension had a higher incidence of LRVI hospitalisation. In-hospital mortality was 14%. Within 30 days following discharge, 15% died and 8% were readmitted.

CONCLUSION

Prior to COVID-19, incidence of hospitalisation for LRVI in Australia's residential aged care population was increasing and was associated with significant morbidity and mortality.

General practitioner conduct of clinical services representing comprehensive geriatric assessment is associated with lower risk of mortality in older Australians receiving home care packages

OBJECTIVES

The purpose of this paper is to investigate the utilisation of general practice Medicare Benefit Schedule (MBS) services aligned to Comprehensive Geriatric Assessment (CGA) within 6 months of an aged care eligibility assessment and its effects on mortality and transition to permanent residential aged care (PRAC).

DESIGN

Retrospective cohort study from the Historical Cohort of the Registry of Senior Australians.

SETTING

Community.

PARTICIPANTS

In total, 69,171 Individuals (aged 75+) receiving home care packages (HCPs) between 2011 and 2015.

OUTCOME MEASURES

Mortality and transition to PRAC.

RESULTS

The claims for a management plan with team care arrangement (TCA) within 3 months of the health assessment (i.e. CGA) was present in 5% and associated with 14% lower mortality (adjusted hazard ratio [aHR], 95%CI = 0.86, 0.80-0.93) compared to no claims, lower than that seen with partial CGA which was either health assessment claims only 7.0% (aHR, 95%CI = 0.93, 0.89-0.97) or management plan coupled with TCA claims only 9.0% (aHR, 95%CI = 0.91, 0.89-0.97). This pattern was seen in those frailer but not in those where the frailty index score was <0.21. Claims for management plans coupled with TCAs alone were associated with a 10% lower transition to PRAC (asHR, 95%CI = 0.90, 0.85-0.96) in those with FI score < 0.21 while this estimate was not significant in individuals with FI score ≥ 0.21.

CONCLUSION

It appears the conduct of a combination of interventions considered to be components of the CGA by GPs was associated with a lower risk of mortality that no claims or partial conduct of CGA.

Predictors of short-term hospitalization and emergency department presentations in aged care

OBJECTIVES

To examine individual, medication, system, and healthcare related predictors of hospitalization and emergency department (ED) presentation within 90 days of entering the aged care sector, and to create risk-profiles associated with these outcomes.

DESIGN AND SETTING

Retrospective population-based cohort study using data from the Registry of Senior Australians.

PARTICIPANTS

Older people (aged 65 and older) with an aged care eligibility assessment in South Australia between January 1, 2013 and May 31, 2016 (N = 22,130).

MEASUREMENTS

Primary outcomes were unplanned hospitalization and ED presentation within 90 days of assessment. Individual, medication, system, and healthcare related predictors of the outcomes at the time of assessment, within 90 days or 1-year prior. Fine-Gray models were used to calculate subdistribution hazard ratios (sHR) and 95% confidence intervals (CI). Harrell's C-index assessed predictive ability.

RESULTS

Four thousand nine-hundred and six (22.2%) individuals were hospitalized and 5028 (22.7%) had an ED presentation within 90 days. Predictors of hospitalization included: being a man (hospitalization sHR = 1.33, 95% CI 1.26-1.42), ≥3 urgent after-hours attendances (hospitalization sHR = 1.21, 95% CI 1.06-1.39), increasing frailty index score (hospitalization sHR = 1.19, 95% CI 1.11-1.28), individuals using glucocorticoids (hospitalization sHR = 1.11, 95% CI 1.02-1.20), sulfonamides (hospitalization sHR = 1.18, 95% CI 1.10-1.27), trimethoprim antibiotics (hospitalization sHR = 1.15, 95% CI 1.03-1.29), unplanned hospitalizations 30 days prior (hospitalization sHR = 1.13, 95% CI 1.04-1.23), and ED presentations 1 year prior (hospitalization sHR = 1.07, 95% CI 1.04-1.10). Similar predictors and hazard estimates were also observed for ED presentations. The hospitalization models out-of-sample predictive ability (C-index = 0.653, 95% CI 0.635-0.670) and ED presentations (C-index = 0.647, 95% CI 0.630-0.663) were moderate.

CONCLUSIONS

One in five individuals with aged care eligibility assessments had unplanned hospitalizations and/or ED presentation within 90 days with several predictors identified at the time of aged care eligibility assessment. This is an actionable period for targeting at-risk individuals to reduce hospitalizations.

The Frailty In Residential Sector over Time (FIRST) study: methods and baseline cohort description

BACKGROUND

The Frailty In Residential Sector over Time (FIRST) Study is a 3-year prospective cohort study investigating the health of residents living in residential aged care services (RACS) in South Australia. The study aims to examine the change in frailty status and associated health outcomes.

METHODS

This interim report presents data from March 2019-October 2020. The study setting is 12 RACS from one organisation across metropolitan and rural South Australia involving 1243 residents. All permanent (i.e. respite or transition care program excluded) residents living in the RACS for at least 8 weeks were invited to participate. Residents who were deemed to be medically unstable (e.g. experiencing delirium), have less than 3 months to live, or not fluent in English were excluded. Data collected included frailty status, medical diagnoses, medicines, pain, nutrition, sarcopenia, falls, dementia, anxiety and depression, sleep quality, quality of life, satisfaction with care, activities of daily living, and life space use at baseline and 12-months. Data Linkage will occur over the 3 years from baseline.

RESULTS

A total of 561 permanent residents (mean age 87.69 ± 7.25) were included. The majority of residents were female (n = 411, 73.3%) with 95.3% (n = 527) being classified as either frail (n = 377, 68.2%) or most-frail (n = 150, 27.1%) according to the Frailty Index (FI). Most residents were severely impaired in their basic activities of daily living (n = 554, 98.8%), and were at-risk of malnutrition (n = 305, 55.0%) and at-risk of sarcopenia (n = 492, 89.5%). Most residents did not experience pain (n = 475, 85.4%), had normal daytime sleepiness (n = 385, 69.7%), and low anxiety and depression scores (n = 327, 58.9%).

CONCLUSION

This study provides valuable information on the health and frailty levels of residents living in RACS in South Australia. The results will assist in developing interventions that can help to improve the health and wellbeing of residents in aged care services.

TRIAL REGISTRATION

Prospectively registered with the Australian New Zealand Clinical Trials Registry ( ACTRN12619000500156 ).

Variation in Provision of Collaborative Medication Reviews on Entry to Long-Term Care Facilities

OBJECTIVES

Residential medication management reviews (RMMRs) are comprehensive medication reviews conducted by clinical pharmacists and general medical practitioners. RMMRs are the primary government-funded service to optimize medication management in Australian residential aged care facilities (RACFs) and are recommended for all new residents. This study investigated resident characteristics associated with timely RMMR provision within 90 days of RACF entry and national intrafacility variation in timely RMMR provision.

DESIGN

National retrospective cohort study.

SETTING AND PARTICIPANTS

Individuals aged ≥65 years who first entered permanent residential aged care in Australia between January 1, 2012, and December 31, 2015, received at least 1 medication in the previous year, and were alive at 90 days post-RACF entry.

METHODS

Resident characteristics associated with timely RMMR provision were determined using multivariate logistic regression. Crude and risk-adjusted funnel plots were used to examine intrafacility variation in timely RMMR provision.

RESULTS

Of the 143,676 residents from 2799 RACFs included, 30,883 (21.5%) received an RMMR within 90 days. Resident characteristics associated with timely provision included dementia (adjusted odds ratio [aOR] 1.05, 95% confidence interval [CI] 1.02-1.08), primary language other than English (aOR 1.04, 95% CI 1.01-1.09), number of unique prescriptions dispensed in the previous year (aOR [per additional 5 prescriptions] 1.02, 95% CI 1.01-1.03), need for medication administration assistance (aORs ranged from 1.35 to 1.42, compared with residents self-managing) and facility remoteness (aORs ranged from 0.67 to 0.75 for residents outside major cities). The proportion of new residents receiving a timely RMMR ranged from 0% (n = 303 RACFs) to 100% (n = 4 RACFs). There were 174 RACFs (6.2%) in which ≥50% of new residents received a timely RMMR.

CONCLUSIONS AND IMPLICATIONS

Although there was some evidence that RMMRs are targeted to individuals with a greater burden of medication use and those living with dementia, considerable variation in provision exists nationally. This flagship medication review service is generally underutilized among residents of Australian RACFs.

Factors associated with success in transition care services among older people in Australia

BACKGROUND

The Australian Transition Care Program (TCP) is a national intermediate care service aiming to optimise functional independence and delay entry to permanent care for older people leaving hospital. The aim of this study was to describe the outcomes of TCP and identify demographic and clinical factors associated with TCP 'success', to assist with clinical judgements about suitable candidates for the program.

METHOD

We conducted a descriptive cohort study of all older Australians accessing TCP for the first time between 2007 and 2015. Logistic regression models assessed demographic and clinical factors associated with change in performance on a modified Barthel Index from TCP entry to discharge and on discharge to community. Fine-Gray regression models estimated factors associated with transition to permanent care within 6 months of TCP discharge, with death as a competing event.

RESULTS

Functional independence improved from entry to discharge for 46,712 (38.4%) of 124,301 TCP users. Improvement was more common with younger age, less frailty, shorter hospital stay prior to TCP, and among women, those without a carer, living outside a major city, and without dementia. People who received TCP in a residential setting were far less likely to record improved functional impairment and more likely to be discharged to permanent care than those in a community setting. Discharge to community was more common with younger age and among women and those without dementia. Nearly 12% of community TCP and 63% of residential TCP users had transitioned to permanent care 6 months after discharge. Entry to permanent care was more common with older age, higher levels of frailty, and among those with dementia.

CONCLUSIONS

More than half of TCP users are discharged to home and remain at home after 6 months. However, residential-based TCP may have limited efficacy. Age, frailty, carer status, and dementia are key factors to consider when assessing program suitability. Future studies comparing users to a suitably matched control group will be very helpful for confirming whether the TCP program is meeting its aims.

The Registry of Senior Australians outcome monitoring system: quality and safety indicators for residential aged care

Objectives

To introduce the Registry of Senior Australians (ROSA) Outcome Monitoring System, which can monitor the quality and safety of care provided to individuals accessing residential aged care. Development and examination of 12 quality and safety indicators of care and their 2016 prevalence estimates are presented.

Design

Retrospective.

Setting

2690 national and 254 South Australian (SA) aged care facilities.

Participants

208 355 unique residents nationally and 18 956 in SA.

Main Outcome Measures

Risk-adjusted prevalence of high sedative load, antipsychotic use, chronic opioid use, antibiotic use, premature mortality, falls, fractures, medication-related adverse events, weight loss/malnutrition, delirium and/or dementia hospitalisations, emergency department presentations, and pressure injuries.

Results

Five indicators were estimated nationally; antibiotic use (67.5%, 95% confidence interval (CI): 67.3–67.7%) had the highest prevalence, followed by high sedative load (48.1%, 95% CI: 47.9–48.3%), chronic opioid use (26.8%, 95% CI: 26.6–26.9%), antipsychotic use (23.5%, 95% CI: 23.4–23.7%) and premature mortality (0.6%, 95% CI: 0.6–0.7%). Seven indicators were estimated in SA; emergency department presentations (19.1%, 95% CI: 18.3–20.0%) had the highest prevalence, followed by falls (10.1%, 95% CI: 9.7–10.4%), fractures (4.8%, 95% CI: 4.6–5.1%), pressure injuries (2.9%, 95% CI: 2.7–3.1%), delirium and/or dementia related hospitalisations (2.3%, 95% CI: 2.1–2.6%), weight loss/malnutrition (0.7%, 95% CI: 0.6–0.8%) and medication-related events (0.6%, 95% CI: 0.5–0.7%).

Conclusions

Twelve quality and safety indicators were developed to monitor aged care provided to older Australians based on the synthesis of existing literature and expert advisory input. These indicators rely on existing data within the aged care and healthcare sectors, therefore creating a pragmatic tool to examine quality and unwarranted care variation.