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.

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

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

Quality and safety in residential aged care: an evaluation of a national quality indicator programme.

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

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.

Association Between Metabolically Different Adiposity Subtypes and Osteoarthritis: A Mendelian Randomization Study.

OBJECTIVE: In this Mendelian randomization (MR) study, the objective was to investigate the causal effect of metabolically different adiposity subtypes on osteoarthritis. METHODS: We performed 2-sample MR using summary-level data for osteoarthritis (10,083 cases and 40,425 controls) from a genome-wide association using the UK Biobank, and for site-specific osteoarthritis from the Arthritis Research UK Osteoarthritis Genetics consortium. We used 3 classes of genetic instruments, which all increase body mass index but are associated with different metabolic profiles (unfavorable, neutral, and favorable). Primary analysis was performed using inverse variance weight (IVW), with additional sensitivity analysis from different MR methods. We further applied a nonlinear MR using UK Biobank data to understand the nature of the adiposity-osteoarthritis relationship. RESULTS: Greater metabolically unfavorable and metabolically neutral adiposity were associated with higher odds of osteoarthritis (IVW odds ratio [OR] 1.56 [95% confidence interval (95% CI) 1.31, 1.85] and OR 1.60 [95% CI 1.15, 2.23], respectively). The estimate for the association between metabolically favorable adiposity and osteoarthritis was similar, although with notable imprecision (OR 1.55 [95% CI 0.70, 3.41]). Using site-specific osteoarthritis, metabolically unfavorable, neutral, and favorable adiposity were all associated with higher odds of knee osteoarthritis (OR 1.44 [95% CI 1.04, 1.98], OR 2.28 [95% CI 1.04, 4.99], and OR 6.80 [95% CI 2.08, 22.19], respectively). We found generally consistent estimates with a wider confidence interval crossing the null from other MR methods. The nonlinear MR analyses suggested a nonlinear relationship between metabolically unfavorable adiposity and osteoarthritis (Pnonlinear  = 0.003). CONCLUSION: Metabolic abnormalities did not explain the association between greater adiposity and the risk of osteoarthritis, which might suggest that the association is largely due to a mechanical effect on the joints.

A systematic review of scope and quality of health economic evaluations conducted in Ethiopia.

There has been an increased interest in health technology assessment and economic evaluations for health policy in Ethiopia over the last few years. In this systematic review, we examined the scope and quality of healthcare economic evaluation studies in Ethiopia. We searched seven electronic databases (PubMed/MEDLINE, EMBASE, PsycINFO, CINHAL, Econlit, York CRD databases and CEA Tufts) from inception to May 2021 to identify published full health economic evaluations of a health-related intervention or programme in Ethiopia. This was supplemented with forward and backward citation searches of included articles, manual search of key government websites, the Disease Control Priorities-Ethiopia project and WHO-CHOICE programme. The quality of reporting of economic evaluations was assessed using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist. The extracted data were grouped into subcategories based on the subject of the economic evaluation, organized into tables and reported narratively. This review identified 34 full economic evaluations conducted between 2009 and 2021. Around 14 (41%) of studies focussed on health service delivery, 8 (24%) on pharmaceuticals, vaccines and devices, and 4 (12%) on public-health programmes. The interventions were mostly preventive in nature and focussed on communicable diseases (n = 19; 56%) and maternal and child health (n = 6; 18%). Cost-effectiveness ratios varied widely from cost-saving to more than US $37 313 per life saved depending on the setting, perspectives, types of interventions and disease conditions. While the overall quality of included studies was judged as moderate (meeting 69% of CHEERS checklist), only four out of 27 cost-effectiveness studies characterized heterogeneity. There is a need for building local technical capacity to enhance the design, conduct and reporting of health economic evaluations in Ethiopia.

Medication use quality and safety in older adults: 2020 update.

Improving the quality of medication use and medication safety are important priorities for prescribers who care for older adults. The objective of this article was to identify four exemplary articles with this focus in 2020. We selected high-quality studies that moved the field of research forward and were not merely replication studies. The chosen articles cover domains related to deprescribing, medication safety, and optimizing medication use. The first study, a noninferiority randomized clinical trial in England, evaluated whether antihypertensive medication reduction is possible without significant changes in systolic blood pressure control or adverse events over the 12-week follow-up (domain: deprescribing). The second study, a prospective cohort study of women at Kaiser Permanente Southern, California, examined the association between bisphosphonate use and atypical femur fracture (domain: medication safety). The third study examined the effectiveness and safety of a multifaceted antimicrobial stewardship and quality improvement initiative in reducing unnecessary antimicrobial use for unlikely cystitis cases in noncatheterized residents in 25 nursing homes across the United States (domain: optimizing medication use). Lastly, the fourth study, a population-based cohort study in the United Kingdom, examined the association of tramadol use with risk of hip fracture (domain: medication safety). Collectively, this review succinctly highlights pertinent topics related to promoting safe use of medications and promotes awareness of optimizing older adults' medication regimens.

Potentially inappropriate medication use and related hospital admissions in aged care residents: The impact of dementia.

AIMS: To determine the prevalence of potentially inappropriate medication (PIM) use at hospital admission and discharge, and the contribution to hospital admission among residential aged care facility residents with and without dementia. METHODS: We conducted a secondary analysis using data from a multihospital prospective cohort study involving consecutively admitted older adults, aged 75 years or older, who were taking 5 or more medications prior to hospital admission and discharged to a residential aged care facility in South Australia. PIM use was identified using the 2015 Screening Tool for Older Persons' Prescription and 2019 Beers criteria. An expert panel of clinicians with geriatric medicine expertise evaluated the contribution of PIM to hospital admission. RESULTS: In total, 181 participants were included, the median age was 87.5 years and 54.7% were female. Ninety-one (50.3%) had a diagnosis of dementia. Participants with dementia had fewer PIMs, according to at least 1 of the 2 screening criteria, than those without dementia, at admission (dementia: 76 [83.5%] vs no dementia: 84 [93.3%], P = .04) and discharge (78 [85.7%] vs 83 [92.2%], P = .16). PIM use was causal or contributory to the admission in 28.1% of study participants (n = 45) who were taking at least 1 PIM at admission. CONCLUSIONS: Over 80% of acutely admitted older adults took PIMs at hospital admission and discharge and for over a quarter of these people the admissions were attributable to PIM use. Hospitalisation presents an opportunity for comprehensive medication reviews, and targeted interventions that enhance such a process could reduce PIM use and related harm.

Medication Use for Comorbidities in People with Alzheimer's Disease: An Australian Population-Based Study.

BACKGROUND: People with Alzheimer's disease (AD) often have multimorbidity and take multiple medicines. Yet few studies have examined medicine utilization for comorbidities comparing people with and without AD. OBJECTIVE: The aim was to investigate the patterns of medication use for comorbidities in people with and without AD. METHODS: An Australian population-based study was conducted using the Pharmaceutical Benefits Scheme 10% sample of pharmacy claims data. People with AD were defined as those dispensed medicines for dementia (cholinesterase inhibitors, memantine, or risperidone for behavioral and psychological symptoms of dementia) between January 1, 2005, and December 31, 2015, who were aged 65 years or older and alive at the end of 2016. An age- and gender-matched comparison cohort (5:1) of people without AD were identified. Medication use for comorbidities was identified using the validated comorbidity index, Rx-Risk-V. A χ2 test was used to compare differences in the pattern of medicine use between the two groups. RESULTS: A total of 8280 people with AD and 41,400 comparisons without AD were included; 63.4% were female and the median age was 82 years. The median number of comorbidities was greater in people with AD {median [interquartile range (IQR)]: 5 [3-7]} than the comparison group (median [IQR]: 4 [3-6], p<0.0001). Medications for depression, pain (treated with opioid analgesics), anxiety, diabetes, hyperthyroidism, epilepsy, Parkinson's disease, and antipsychotics were used significantly more commonly in people with AD than in those without dementia. Medications for cardiac conditions, pain (treated with anti-inflammatory medications), chronic airways disease, gout, glaucoma, renal disease, benign prostatic hyperplasia, cancer, and steroid-responsive conditions were used significantly less commonly among people with AD than the comparison group. CONCLUSIONS: This study highlighted significant variations in medication use for comorbidities between people with and without AD. Future studies should evaluate the reasons for the disparity in medicine utilization for comorbidities in people with AD.

Potentially inappropriate prescribing in people with dementia: An Australian population-based study.

OBJECTIVE: To investigate the prevalence of potentially inappropriate prescribing (PIP) using the Screening Tool of Older Person's Prescriptions (STOPP) criteria in people with dementia compared with people without dementia. METHODS: A retrospective cohort study was conducted using the Pharmaceutical Benefits Scheme 10% sample of pharmacy claims. People with dementia were defined as those dispensed a medicine for dementia (cholinesterase inhibitors, memantine, or risperidone for behavioural and psychological symptoms of dementia) between 1 January 2005 and 31 December 2015, aged 65 years or older at 1 January 2016 and alive at the end of 2016. An age- and gender-matched comparison cohort of people not dispensed medicines for dementia was identified. PIP prevalence was determined between 1 January 2016 and 31 December 2016. RESULTS: In total, 8280 people dispensed medicines for dementia and 41 400 comparisons not dispensed medicines for dementia were included: 63% were female and the median age was 82 years. PIP prevalence was 79% among people with dementia compared with 70% among the comparison group (P < .0001). Use of anticholinergics, long-term use of high-dose proton pump inhibitors, and use of benzodiazepines were the most common instances of PIP in people with dementia. After adjustments for age, gender, comorbidity, and number of prescribers, people with dementia were more likely to be exposed to PIP than comparisons (adjusted OR 1.44, 95% CI, 1.35-1.53, P < .0001). CONCLUSIONS: PIP was more common in people dispensed medicines for dementia than comparisons. These results highlight the need for effective interventions to optimize prescribing in people with dementia.

Potentially inappropriate prescribing before and after initiation of medicines for dementia: An Australian population-based study.

AIM: To evaluate the prevalence of potentially inappropriate prescribing (PIP), as defined by the internationally validated Screening Tool of Older Person's Prescriptions (STOPP) criteria, in 12 months before and after initiation of medicines for dementia. METHODS: A retrospective cohort study was carried out involving people with their first claim for dispensing of medicines for dementia (cholinesterase inhibitor or memantine) between 1 January 2015 and 31 December 2015, aged ≥65 years at 1 January 2016 and alive at the end of 2016. The index date was defined as the date of first supply of medicines for dementia. PIP was identified using the Screening Tool of Older Person's Prescriptions criteria, and PIP prevalence was compared in the 12 months pre- and post-index date. The McNemar's test was used to test differences in the prevalence of PIP between the two time periods. RESULTS: The cohort included 1176 patients: 60% were women and the median age was 80 years. The overall PIP prevalence was 85% in the 12 months pre-initiation of medicines for dementia compared with 89% in the 12 months post-initiation (P < 0.0001). The median number of Screening Tool of Older Person's Prescriptions criteria was two (interquartile range 1-4) in the 12 months pre-initiation of medicines for dementia, increasing to three (range 2-4) in the 12 months post-initiation. CONCLUSIONS: PIP was common in people dispensed medicines for dementia, with a significant increase in prevalence post-initiation of medicines for dementia compared with pre-initiation. These results highlight the need for targeted interventions to minimize inappropriate use of medicines in people with dementia. Geriatr Gerontol Int 2019; 19: 654-659.

A narrative review of problems with medicines use in people with dementia.

INTRODUCTION: People with dementia may be particularly susceptible to medication-related problems for various reasons. They include progressive cognitive decline, high sensitivity to the effect of medications on cognition and memory, and increased likelihood of comorbidities. AREAS COVERED: This paper aimed to review current literature on the frequency and the types of medication-related problems, and their contribution to hospital admission in people with dementia. Literature searches were conducted using key search terms of dementia and medication-related problems. Studies investigating any medication-related problems in people with dementia or cognitive impairment were included. EXPERT OPINION: Previous research showed a high prevalence of medication-related problems in people with dementia. However, no single category of medication-related problems was reported consistently as the most frequent type across studies. The available studies also showed that medication-related hospitalization was common among people with dementia. These findings underline the need for effective medication management services to reduce the risk of these problems in people with dementia and cognitive impairment. Further work is required to characterize medication-related problems comprehensively in this vulnerable patient group across settings of care. Future research should take a holistic approach in the identification of medication-related problems.