Quality indicators to monitor the quality and safety of care for older people: a scoping review protocol.

OBJECTIVE: The objective of this review is to identify quality indicators used to monitor the quality and safety of care provided to older people (≥ 65 years old) in 8 care settings: primary care; hospital/acute care; aged care (including residential aged care and home or community care); palliative care; rehabilitation care; care transitions; dementia care; and care in rural areas. INTRODUCTION: There is a need for high-quality, holistic, person-centered aged and health care for older people. Older people receive care across multiple care settings, and population-level monitoring of quality and safety of care across settings represents a significant challenge. INCLUSION CRITERIA: National and international quality indicators used to monitor and evaluate quality and safety of care at the population level for older individuals in the 8 key care settings will be considered for inclusion. English-language quantitative and mixed method studies published from 2012 will be considered. METHODS: Academic (MEDLINE, Embase) and gray (government websites, clinical guidelines, Google) literature searches will be conducted. A standardized data extraction tool will be used to describe the identified quality indicators and associated tools. Quality indicators will be categorized by key domains (ie, pain, function, consumer experience, service delivery), quality indicator type (structure, process, outcome) and the Institute of Medicine's 6 dimensions of care quality (eg, efficiency, effectiveness, appropriateness, accessibility, acceptability/person-centered, safety). The scoping review will be conducted in accordance with the JBI methodology for scoping reviews and the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). REVIEW REGISTRATION: Open Science Framework osf.io/8czun.

National trends in utilisation of glucose lowering medicines by older people with diabetes in long-term care facilities.

AIMS: To examine national trends in glucose lowering medicine (GLM) use among older people with diabetes in long-term care facilities (LTCFs) during 2009-2019. METHODS: A repeated cross-sectional study of individuals ≥65 years with diabetes in Australian LTCFs (n = 140,322) was conducted. Annual age-sex standardised prevalence of GLM use and number of defined daily doses (DDDs)/1000 resident-days were estimated. Multivariable Poisson or Negative binomial regression models were used to estimate adjusted rate ratios (aRRs) and 95 % confidence intervals (CIs). RESULTS: Prevalence of GLM use remained steady between 2009 (63.9%, 95 %CI 63.3-64.4) and 2019 (64.3%, 95 %CI 63.9-64.8) (aRR 1.00, 95 %CI 1.00-1.00). The percentage of residents receiving metformin increased from 36.0% (95 %CI 35.3-36.7) to 43.5% (95 %CI 42.9-44.1) (aRR 1.01, 95 %CI 1.01-1.01). Insulin use also increased from 21.5% (95 %CI 21.0-22.0) to 27.0% (95 %CI 26.5-27.5) (aRR 1.02, 95 %CI 1.02-1.02). Dipeptidyl peptidase-4 inhibitor use increased from 1.0% (95 %CI 0.9-1.1) to 21.1% (95 %CI 20.7-21.5) (aRR 1.24, 95 %CI 1.24-1.25), while sulfonylurea use decreased from 34.4% (95 %CI 33.8-35.1) to 19.3% (95 %CI 18.9-19.7) (aRR 0.93, 95 %CI 0.93-0.94). Similar trends were observed in DDDs/1000 resident days. CONCLUSIONS: The increasing use of insulin and ongoing use of sulfonylureas suggests a need to implement evidence-based strategies to optimise diabetes care in LTCFs.

Simplifying medication regimens for residents of aged care facilities: Pharmacist and physician use of a structured five-step medication simplification tool.

BACKGROUND: Pharmacist-led medication regimen simplification using a structured approach can reduce unnecessary medication regimen complexity in residential aged care facilities (RACFs), but no studies have investigated simplification by different health professionals, nor the extent to which simplification is recommended during comprehensive medication reviews. OBJECTIVES: To compare medication regimen simplification opportunities identified by pharmacists, general medical practitioners (GPs), and geriatricians and to determine if pharmacists identified simplification opportunities during routinely conducted comprehensive medication reviews in RACFs for these same residents. METHODS: Three pharmacists, three GPs and three geriatricians independently applied the Medication Regimen Simplification Guide for Residential Aged CarE (MRS GRACE) to medication data for 83 residents taking medications at least twice daily. Interrater agreement was calculated using Fleiss's kappa. Pharmacist medication review reports for the same 83 residents were then examined to identify if the pharmacists conducting these reviews had recommended any of the simplification strategies. RESULTS: Overall, 77 residents (92.8 %) taking medications at least twice daily could have their medication regimen simplified by at least one health professional. Pharmacists independently simplified 53.0-77.1 % of medication regimens (Κ = 0.60, 95%CI 0.46-0.75, indicating substantial agreement), while GPs simplified 74.7-89.2 % (Κ = 0.44, 95%CI 0.24-0.64, moderate agreement) and geriatricians simplified 41.0-66.3 % (Κ = 0.30, 95%CI 0.16-0.44, fair agreement). No simplification recommendations were included in the reports previously prepared by pharmacists as part of the comprehensive medication reviews undertaken for these residents. CONCLUSION: Pharmacists, GPs, and geriatricians can all identify medication regimen simplification opportunities, although these opportunities differ within and between professional groups. Although opportunities to simplify medication regimens during comprehensive medication reviews exist, simplification is not currently routinely recommended by pharmacists performing these reviews in Australian RACFs.

National surveillance using a clinical quality indicator for prolonged antipsychotic use among older Australians with dementia who access aged care services.

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

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.

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.

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.

Identifying barriers and enablers to participation in infection surveillance in Australian residential aged care facilities.

BACKGROUND: Infection surveillance is a vital part of infection prevention and control activities for the aged care sector. In Australia there are two currently available infection and antimicrobial use surveillance programs for residential aged care facilities. These programs are not mandated nor available to all facilities. Development of a new surveillance program will provide standardised surveillance for all facilities in Australia. METHODS: This study aimed to assess barriers and enablers to participation in the two existing infection and antimicrobial use surveillance programs, to improve development and implementation of a new program. A mixed-methods study was performed. Aged Care staff involved in infection surveillance were invited to participate in focus groups and complete an online survey comprising 17 items. Interviews were transcribed and analysed using the COM-B framework. RESULTS: Twenty-nine staff took part in the focus groups and two hundred took part in the survey. Barriers to participating in aged care infection surveillance programs were the time needed to collect and enter data, competing priority tasks, limited understanding of surveillance from some staff, difficulty engaging clinicians, and staff fatigue after the COVID-19 pandemic. Factors that enabled participation were previous experience with surveillance, and sharing responsibilities, educational materials and using data for benchmarking and to improve practice. CONCLUSION: Streamlined and simple data entry methods will reduce the burden of surveillance on staff. Education materials will be vital for the implementation of a new surveillance program. These materials must be tailored to different aged care workers, specific to the aged care context and provide guidance on how to use surveillance results to improve practice.

Clinical Quality Indicators for Monitoring Hospitalizations Among Older People with Dementia Accessing Aged Care Services.

BACKGROUND: There is a need for clinical quality indicators (CQIs) that can be applied to dementia quality registries to monitor care outcomes for people with Alzheimer's disease and other forms of dementia. OBJECTIVE: To develop tertiary and primary care-based dementia CQIs for application to clinical registries for individuals with dementia accessing aged care services and determine 1) annual trends in CQI incidence between 2011-2012 and 2015-2016, 2) associated factors, and 3) geographic and facility variation in CQI incidence. METHODS: This retrospective repeated cross-sectional study included non-Indigenous individuals aged 65-105 years who lived with dementia between July 2008-June 2016, were assessed for government-funded aged care services, and resided in New South Wales or Victoria (n = 180,675). Poisson or negative binomial regression models estimated trends in annual CQI incidence and associated factors. Funnel plots examined CQI variation. RESULTS: Between 2011-2012 and 2015-2016, CQI incidence increased for falls (11.0% to 13.9%, adjusted incidence rate ratio (aIRR) 1.05 (95% CI 1.01-1.06)) and delirium (4.7% to 6.7%, aIRR 1.09 (95% CI 1.07-1.10)), decreased for unplanned hospitalizations (28.7% to 27.9%, aIRR 0.99 (95% CI 0.98-0.99)) and remained steady for fracture (6.2% to 6.5%, aIRR 1.01 (95% CI 0.99-1.01)) and pressure injuries (0.5% to 0.4%, aIRR 0.99 (95% CI 0.96-1.02)). Being male, older, having more comorbidities and living in a major city were associated with higher CQI incidence. Considerable geographical and facility variation was observed for unplanned hospitalizations and delirium CQIs. CONCLUSIONS: The CQI results highlighted considerable morbidity. The CQIs tested should be considered for application in clinical quality registries to monitor dementia care quality.

Hematological and Other Cancers in People Using Clozapine: Analysis of Australian Spontaneous Reports Between 1995 and 2020.

BACKGROUND: Recent observational study evidence suggests that clozapine, unlike other antipsychotics, may be associated with a small increased risk of hematological malignancy. This study described characteristics of hematological and other cancers in those taking clozapine reported to the Australian Therapeutic Goods Administration. METHODS: We analyzed public case reports for "clozapine," "Clozaril," or "Clopine" from January 1995 to December 2020 classified as "neoplasm benign, malignant and unspecified" by the Australian Therapeutic Goods Administration. Data on age, sex, dose, clozapine start and cessation dates, Medical Dictionary for Regulatory Activities reaction terms, and date of cancer were extracted. RESULTS: Overall, 384 spontaneous reports of cancers in people taking clozapine were analyzed. The mean age of patients was 53.9 years (SD, 11.4 years), and 224 (58.3%) were male. The most frequent cancers were hematological (n = 104 [27.1%]), lung (n = 50 [13.0%]), breast (n = 37 [9.6%]), and colorectal (n = 28 [7.3%]). The outcome was fatal for 33.9% of cancer reports. Lymphoma comprised 72.1% of all hematological cancers (mean patient age, 52.1 years; SD, 11.6 years). The median daily dose of clozapine at the time of hematological cancer report was 400 mg (interquartile range, 300-543.8 mg), and the median duration of clozapine use before hematological cancer diagnosis was 7.0 years (interquartile range, 2.8-13.2 years). CONCLUSIONS: Lymphoma and other hematological cancers are overrepresented in spontaneous adverse event reports compared with other cancer types. Clinicians should be aware of the possible association with hematological cancers and monitor for and report any hematological cancers identified. Future studies should examine histology of lymphomas in people using clozapine and corresponding blood level of clozapine.

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.

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.

Consumer and Healthcare Professional Led Priority Setting for Quality Use of Medicines in People with Dementia: Gathering Unanswered Research Questions.

BACKGROUND: Historically, research questions have been posed by the pharmaceutical industry or researchers, with little involvement of consumers and healthcare professionals. OBJECTIVE: To determine what questions about medicine use are important to people living with dementia and their care team and whether they have been previously answered by research. METHODS: The James Lind Alliance Priority Setting Partnership process was followed. A national Australian qualitative survey on medicine use in people living with dementia was conducted with consumers (people living with dementia and their carers including family, and friends) and healthcare professionals. Survey findings were supplemented with key informant interviews and relevant published documents (identified by the research team). Conventional content analysis was used to generate summary questions. Finally, evidence checking was conducted to determine if the summary questions were 'unanswered'. RESULTS: A total of 545 questions were submitted by 228 survey participants (151 consumers and 77 healthcare professionals). Eight interviews were conducted with key informants and four relevant published documents were identified and reviewed. Overall, analysis resulted in 68 research questions, grouped into 13 themes. Themes with the greatest number of questions were related to co-morbidities, adverse drug reactions, treatment of dementia, and polypharmacy. Evidence checking resulted in 67 unanswered questions. CONCLUSION: A wide variety of unanswered research questions were identified. Addressing unanswered research questions identified by consumers and healthcare professionals through this process will ensure that areas of priority are targeted in future research to achieve optimal health outcomes through quality use of medicines.

Medication Regimen Complexity and Risk of Bleeding in People Who Initiate Oral Anticoagulants for Atrial Fibrillation: A Population-Based Study.

BACKGROUND: Oral anticoagulants (OACs) are high-risk medications often used in older people with complex medication regimens. This study was the first to assess the association between overall regimen complexity and bleeding in people with atrial fibrillation (AF) initiating OACs. METHODS: Patients diagnosed with AF who initiated an OAC (warfarin, dabigatran, rivaroxaban, apixaban) between 2010 and 2016 were identified from the Hong Kong Clinical Database and Reporting System. Each patient's Medication Regimen Complexity Index (MRCI) score was computed. Baseline characteristics were balanced using inverse probability of treatment weighting. People were followed until a first hospitalization for bleeding (intracranial hemorrhage, gastrointestinal bleeding, or other bleeding) and censored at discontinuation of the index OAC, death, or end of the follow-up period, whichever occurred first. Cox regression was used to estimate hazard ratios (HR) between MRCI quartiles and bleeding during initiation and all follow-up. RESULTS: There were 19 292 OAC initiators (n = 9 092 warfarin, n = 10 200 direct oral anticoagulants) with a mean (standard deviation) age at initiation of 73.9 (11.0) years. More complex medication regimens were associated with an increased risk of bleeding (MRCI > 14.0-22.00: aHR 1.17, 95% confidence interval [CI] 0.93-1.49; MRCI > 22.0-32.5: aHR 1.32, 95%CI 1.06-1.66; MRCI > 32.5: aHR 1.45, 95%CI 1.13-1.87, compared to MRCI ≤ 14). No significant association between MRCI and bleeding risk was observed during the initial 30, 60, or 90 days of treatment. CONCLUSION: In this cohort study of people with AF initiating an OAC, a more complex medication regimen was associated with higher bleeding risk over periods longer than 90 days. Further prospective studies are needed to assess whether MRCI should be considered in OAC prescribing.

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 permanent residential aged care (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 0.04 to 0.07/1000 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 PRAC 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.

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.