Pharmacological intervention for irritability, aggression, and self-injury in autism spectrum disorder (ASD).

BACKGROUND: Pharmacological interventions are frequently used for people with autism spectrum disorder (ASD) to manage behaviours of concern, including irritability, aggression, and self-injury. Some pharmacological interventions might help treat some behaviours of concern, but can also have adverse effects (AEs). OBJECTIVES: To assess the effectiveness and AEs of pharmacological interventions for managing the behaviours of irritability, aggression, and self-injury in ASD. SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase, 11 other databases and two trials registers up to June 2022. We also searched reference lists of relevant studies, and contacted study authors, experts and pharmaceutical companies. SELECTION CRITERIA: We included randomised controlled trials of participants of any age with a clinical diagnosis of ASD, that compared any pharmacological intervention to an alternative drug, standard care, placebo, or wait-list control. DATA COLLECTION AND ANALYSIS: We used standard Cochrane methods. Primary outcomes were behaviours of concern in ASD, (irritability, aggression and self-injury); and AEs. Secondary outcomes were quality of life, and tolerability and acceptability. Two review authors independently assessed each study for risk of bias, and used GRADE to judge the certainty of the evidence for each outcome. MAIN RESULTS: We included 131 studies involving 7014 participants in this review. We identified 26 studies as awaiting classification and 25 as ongoing. Most studies involved children (53 studies involved only children under 13 years), children and adolescents (37 studies), adolescents only (2 studies) children and adults (16 studies), or adults only (23 studies). All included studies compared a pharmacological intervention to a placebo or to another pharmacological intervention. Atypical antipsychotics versus placebo At short-term follow-up (up to 6 months), atypical antipsychotics probably reduce irritability compared to placebo (standardised mean difference (SMD) -0.90, 95% confidence interval (CI) -1.25 to -0.55, 12 studies, 973 participants; moderate-certainty evidence), which may indicate a large effect. However, there was no clear evidence of a difference in aggression between groups (SMD -0.44, 95% CI -0.89 to 0.01; 1 study, 77 participants; very low-certainty evidence). Atypical antipsychotics may also reduce self-injury (SMD -1.43, 95% CI -2.24 to -0.61; 1 study, 30 participants; low-certainty evidence), possibly indicating a large effect. There may be higher rates of neurological AEs (dizziness, fatigue, sedation, somnolence, and tremor) in the intervention group (low-certainty evidence), but there was no clear evidence of an effect on other neurological AEs. Increased appetite may be higher in the intervention group (low-certainty evidence), but we found no clear evidence of an effect on other metabolic AEs. There was no clear evidence of differences between groups in musculoskeletal or psychological AEs. Neurohormones versus placebo At short-term follow-up, neurohormones may have minimal to no clear effect on irritability when compared to placebo (SMD -0.18, 95% CI -0.37 to -0.00; 8 studies; 466 participants; very low-certainty evidence), although the evidence is very uncertain. No data were reported for aggression or self -injury. Neurohormones may reduce the risk of headaches slightly in the intervention group, although the evidence is very uncertain. There was no clear evidence of an effect of neurohormones on any other neurological AEs, nor on any psychological, metabolic, or musculoskeletal AEs (low- and very low-certainty evidence). Attention-deficit hyperactivity disorder (ADHD)-related medications versus placebo At short-term follow-up, ADHD-related medications may reduce irritability slightly (SMD -0.20, 95% CI -0.40 to -0.01; 10 studies, 400 participants; low-certainty evidence), which may indicate a small effect. However, there was no clear evidence that ADHD-related medications have an effect on self-injury (SMD -0.62, 95% CI -1.63 to 0.39; 1 study, 16 participants; very low-certainty evidence). No data were reported for aggression. Rates of neurological AEs (drowsiness, emotional AEs, fatigue, headache, insomnia, and irritability), metabolic AEs (decreased appetite) and psychological AEs (depression) may be higher in the intervention group, although the evidence is very uncertain (very low-certainty evidence). There was no evidence of a difference between groups for any other metabolic, neurological, or psychological AEs (very low-certainty evidence). No data were reported for musculoskeletal AEs. Antidepressants versus placebo At short-term follow-up, there was no clear evidence that antidepressants have an effect on irritability (SMD -0.06, 95% CI -0.30 to 0.18; 3 studies, 267 participants; low-certainty evidence). No data for aggression or self-injury were reported or could be included in the analysis. Rates of metabolic AEs (decreased energy) may be higher in participants receiving antidepressants (very low-certainty evidence), although no other metabolic AEs showed clear evidence of a difference. Rates of neurological AEs (decreased attention) and psychological AEs (impulsive behaviour and stereotypy) may also be higher in the intervention group (very low-certainty evidence) although the evidence is very uncertain. There was no clear evidence of any difference in the other metabolic, neurological, or psychological AEs (very low-certainty evidence), nor between groups in musculoskeletal AEs (very low-certainty evidence). Risk of bias We rated most of the studies across the four comparisons at unclear overall risk of bias due to having multiple domains rated as unclear, very few rated as low across all domains, and most having at least one domain rated as high risk of bias. AUTHORS' CONCLUSIONS: Evidence suggests that atypical antipsychotics probably reduce irritability, ADHD-related medications may reduce irritability slightly, and neurohormones may have little to no effect on irritability in the short term in people with ASD. There was some evidence that atypical antipsychotics may reduce self-injury in the short term, although the evidence is uncertain. There was no clear evidence that antidepressants had an effect on irritability. There was also little to no difference in aggression between atypical antipsychotics and placebo, or self-injury between ADHD-related medications and placebo. However, there was some evidence that atypical antipsychotics may result in a large reduction in self-injury, although the evidence is uncertain. No data were reported (or could be used) for self-injury or aggression for neurohormones versus placebo. Studies reported a wide range of potential AEs. Atypical antipsychotics and ADHD-related medications in particular were associated with an increased risk of metabolic and neurological AEs, although the evidence is uncertain for atypical antipsychotics and very uncertain for ADHD-related medications. The other drug classes had minimal or no associated AEs.

Staff perceptions following a training programme about reducing psychotropic medication use in adults with intellectual disability: The need for a realistic professional practice framework.

BACKGROUND: Adults with intellectual disability are at higher risk of being administered psychotropic medications. The UK-developed SPECTROM (Short-term PsychoEducation for Carers To Reduce Over Medication of people with intellectual disabilities) training programme educates disability support workers on psychotropic medications and alternatives to these medications. METHOD: Interviews were conducted with 10 participants who took part in the pilot SPECTROM training programme to elicit their views on the programme and its appropriateness in an Australian context. RESULTS: The key theme was 'Need for a psychotropic medication practice framework'. Four sub-themes were Broad satisfaction with the SPECTROM training programme; Disability support workers acknowledging the limitations of their scope of practice; Empowering training through prescriptive and reflective methods and; Need for future mentoring from Multi-Disciplinary Team members in the application of new knowledge. CONCLUSIONS: Participants felt that whilst they could improve their knowledge and attitudes surrounding psychotropic medication administration for behaviours of concern through SPECTROM training, a national practice framework is needed to execute its goals at scale.

The use of predictive fall models for older adults receiving aged care, using routinely collected electronic health record data: a systematic review.

BACKGROUND: Falls in older adults remain a pressing health concern. With advancements in data analytics and increasing uptake of electronic health records, developing comprehensive predictive models for fall risk is now possible. We aimed to systematically identify studies involving the development and implementation of predictive falls models which used routinely collected electronic health record data in home-based, community and residential aged care settings. METHODS: A systematic search of entries in Cochrane Library, CINAHL, MEDLINE, Scopus, and Web of Science was conducted in July 2020 using search terms relevant to aged care, prediction, and falls. Selection criteria included English-language studies, published in peer-reviewed journals, had an outcome of falls, and involved fall risk modelling using routinely collected electronic health record data. Screening, data extraction and quality appraisal using the Critical Appraisal Skills Program for Clinical Prediction Rule Studies were conducted. Study content was synthesised and reported narratively. RESULTS: From 7,329 unique entries, four relevant studies were identified. All predictive models were built using different statistical techniques. Predictors across seven categories were used: demographics, assessments of care, fall history, medication use, health conditions, physical abilities, and environmental factors. Only one of the four studies had been validated externally. Three studies reported on the performance of the models. CONCLUSIONS: Adopting predictive modelling in aged care services for adverse events, such as falls, is in its infancy. The increased availability of electronic health record data and the potential of predictive modelling to document fall risk and inform appropriate interventions is making use of such models achievable. Having a dynamic prediction model that reflects the changing status of an aged care client is key to this moving forward for fall prevention interventions.

Quality of life measurement in community-based aged care - understanding variation between clients and between care service providers.

BACKGROUND: Measuring person-centred outcomes and using this information to improve service delivery is a challenge for many care providers. We aimed to identify predictors of QoL among older adults receiving community-based aged care services and examine variation across different community care service outlets. METHODS: A retrospective sample of 1141 Australians aged ≥60 years receiving community-based care services from a large service provider within 19 service outlets. Clients' QoL was captured using the ICEpop CAPability Index. QoL scores and predictors of QoL (i.e. sociodemographic, social participation and service use) were extracted from clients' electronic records and examined using multivariable regression. Funnel plots were used to examine variation in risk-adjusted QoL scores across service outlets. RESULTS: Mean age was 81.5 years (SD = 8) and 75.5% were women. Clients had a mean QoL score of 0.81 (range 0-1, SD = 0.15). After accounting for other factors, being older (p < 0.01), having lower-level care needs (p < 0.01), receiving services which met needs for assistance with activities of daily living (p < 0.01), and having higher levels of social participation (p < 0.001) were associated with higher QoL scores. Of the 19 service outlets, 21% (n = 4) had lower mean risk-adjusted QoL scores than expected (< 95% control limits) and 16% (n = 3) had higher mean scores than expected. CONCLUSION: Using QoL as an indicator to compare care quality may be feasible, with appropriate risk adjustment. Implementing QoL tools allows providers to measure and monitor their performance and service outcomes, as well as identify clients with poor quality of life who may need extra support. TRIAL REGISTRATION: Australian and New Zealand clinical trial registry number: ACTRN12617001212347 . Registered 18/08/2017.

A mixed-methods study evaluating the impact of an excursion-based social group on quality of life of older adults.

BACKGROUND: Social isolation is an increasing concern for older adults who live in the community. Despite some availability of social support programs to address social isolation, their effectiveness is not routinely measured. This study aimed to evaluate an innovative excursion-based program offering unique social experiences to older adults receiving aged care services. METHODS: This six-month before and after mixed-methods study evaluated the outcomes of an Australian excursion-based program which offered social and physical outings to bring older adults receiving aged care services into the wider community. The study combined two parts: Part 1 was a pre-post survey assessing the quality of life of older adults who received the excursion-based program for 6 months (n = 56; two time-points, analysed using signed rank test) and Part 2 involved qualitative in-depth, semi-structured interviews (n = 24 aged care staff, older adults and carers; analysed using thematic analysis). RESULTS: Older adults experienced a significant increase in quality of life scores (p < 0.001) between baseline and 6 months. Interviews confirmed these observations and suggested that benefits of participation included increased opportunities for social participation, psychological wellbeing, physical function, and carer respite. Interviews also revealed being in a group setting, having tailored, convenient and accessible activities, alongside supportive staff were key drivers in improving the wellbeing of participants. CONCLUSIONS: Participating in an excursion-based community program may improve wellbeing in older adults. Aging policy should focus on prioritizing initiatives that promote social connectivity with the wider community and assist in improving outcomes for older adults.

Measuring the prevalence of 60 health conditions in older Australians in residential aged care with electronic health records: a retrospective dynamic cohort study.

BACKGROUND: The number of older Australians using aged care services is increasing, yet there is an absence of reliable data on their health. Multimorbidity in this population has not been well described. A clear picture of the health status of people using aged care is essential for informing health practice and policy to support evidence-based, equitable, high-quality care. Our objective was to describe the health status of older Australians living in residential aged care facilities (RACFs) and develop a model for monitoring health conditions using data from electronic health record systems. METHODS: Using a dynamic retrospective cohort of 9436 RACF residents living in 68 RACFs in New South Wales and the Australian Capital Territory from 2014 to 2017, we developed an algorithm to identify residents' conditions using aged care funding assessments, medications administered, and clinical notes from their facility electronic health record (EHR). We generated age- and sex-specific prevalence estimates for 60 health conditions. Agreement between conditions recorded in aged care funding assessments and those documented in residents' EHRs was evaluated using Cohen's kappa. Cluster analysis was used to describe combinations of health conditions (multimorbidity) occurring among residents. RESULTS: Using all data sources, 93% of residents had some form of circulatory disease, with hypertension the most common (62%). Most residents (93%) had a mental or behavioural disorder, including dementia (58%) or depression (54%). For most conditions, EHR data identified approximately twice the number of people with the condition compared to aged care funding assessments. Agreement between data sources was highest for multiple sclerosis, Huntington's disease, and dementia. The cluster analysis identified seven groups with distinct combinations of health conditions and demographic characteristics and found that the most complex cluster represented a group of residents that had on average the longest lengths of stay in residential care. CONCLUSIONS: The prevalence of many health conditions among RACF residents in Australia is underestimated in previous reports. Aged care EHR data have the potential to be used to better understand the complex health needs of this vulnerable population and can help fill the information gaps needed for population health surveillance and quality monitoring.

Ageing well: evaluation of social participation and quality of life tools to enhance community aged care (study protocol).

BACKGROUND: Several outcome measures can be utilised to measure social participation and Quality of Life (QoL) in research and clinical practice. However there have been few large-scale trials of these tools in community care to identify their value to clients and providers. This study aims to evaluate the implementation of the Australian Community Participation Questionnaire (ACPQ) and the ICEpop CAPability measure for Older people (ICECAP-O) as tools to measure social participation and QoL for clients receiving community aged care services. The specific research questions focus on determining: (1) the levels and predictors of social participation and QoL among older adults using community aged care services; (2) the acceptability and feasibility of implementation of ACPQ and ICECAP-O tools into routine community aged care assessments; (3) if implementation of the tools change service provision and outcomes for older adults receiving community aged care services. METHODS: A mixed method design will be used to collect data from a large Australian aged care provider. Community aged care clients' ACPQ and ICECAP-O scores, as well as other key outcomes (e.g. services used, hospitalisation and admission to permanent residential care), will be examined at baseline and 12-monthly follow-up assessments. Interviews and focus groups with community aged care clients and staff who administer the tools will also be completed. Descriptive statistics and multiple linear regression will be used to examine the levels and predictors of social participation and QoL. Thematic analysis of interviews and focus groups will be used to determine the acceptability and feasibility of implementing the ACPQ and ICECAP-O into routine needs assessments in community aged care. Case-controlled analyses will be used to determine whether the implementation of the ACPQ and ICECAP-O changes service use and outcomes. DISCUSSION: The novel use of the ACPQ and the ICECAP-O tools as part of routine needs assessments for community aged care clients has the potential to improve the quality and effectiveness of community aged care services and outcomes. TRIAL REGISTRATION: Australian and New Zealand clinical trial registry number: ACTRN12617001212347 . Registered 18/08/2017.

Longitudinal variation in pressure injury incidence among long-term aged care facilities.

OBJECTIVE: To examine variation in pressure injury (PI) incidence among long-term aged care facilities and identify resident- and facility-level factors that explain this variation. DESIGN: Longitudinal incidence study using routinely-collected electronic care management data. SETTING: A large aged care service provider in New South Wales and the Australian Capital Territory, Australia. PARTICIPANTS: About 6556 people aged 65 years and older who were permanent residents in 60 long-term care facilities between December 2014 and November 2016. MAIN OUTCOME MEASURE: Risk-adjusted PI incidence rates over eight study quarters. RESULTS: Incidence density over the study period was 1.33 pressure injuries per 1000 resident days (95% confidence interval (CI) = 1.29-1.37). Funnel plots were used to identify variation among facilities. On average, 14% of facilities had risk-adjusted PI rates that were higher than expected in each quarter (above 95% funnel plot control limits). Ten percent of facilities had persistently high rates in any three or more consecutive quarters (n = 6). The variation between facilities was only partly explained by resident characteristics in multilevel regression models. Residents were more likely to have higher-pressure injury rates in facilities in regional areas compared with major city areas (adjusted incidence rate ratio = 1.25, 95% CI = 1.04-1.51), and facilities with persistently high rates were more likely to be located in areas with low socioeconomic status (P = 0.038). CONCLUSIONS: There is considerable variation among facilities in PI incidence. This study demonstrates the potential of routinely-collected care management data to monitor PI incidence and to identify facilities that may benefit from targeted intervention.

Leveraging new information technology to monitor medicine use in 71 residential aged care facilities: variation in polypharmacy and antipsychotic use.

OBJECTIVE: The aim of this study was to use routinely collected electronic medicines administration (eMAR) data in residential aged care (RAC) to investigate the quality use of medicines. DESIGN: A cross-sectional analysis of eMAR data. SETTING: 71 RAC facilities in New South Wales and the Australian Capital Territory, Australia. PARTICIPANTS: Permanent residents living in a participating facility on 1 October 2015. INTERVENTION: None. MAIN OUTCOME MEASURES: Variation in polypharmacy (≥5 medications), hyper-polypharmacy (≥10 medications) and antipsychotic use across facilities was examined using funnel plot analysis. RESULTS: The study dataset included 4775 long-term residents. The mean resident age was 85.3 years and 70.6% of residents were female. The median facility size was 60 residents and 74.3% were in metropolitan locations. 84.3% of residents had polypharmacy, 41.2% hyper-polypharmacy and 21.0% were using an antipsychotic. The extent of polypharmacy (69.75-100% of residents), hyper-polypharmacy (38.81-76.19%) and use of antipsychotic medicines (0-75.6%) varied considerably across the 71 facilities. CONCLUSIONS: Using eMAR data we found substantial variation in polypharmacy, hyper-polypharmacy and antipsychotic medicine use across 71 RAC facilities. Further investigation into the policies and practices of facilities performing above or below expected levels is warranted to understand variation and drive quality improvement.

Predictors of variation in colorectal cancer care and outcomes in New South Wales: a population-based health data linkage study.

OBJECTIVE: To identify predictors of variation in colorectal cancer care and outcomes in New South Wales. DESIGN, SETTING AND PATIENTS: Multilevel logistic regression analysis using a linked population-based dataset based on the records of patients with cancer of the colon, rectosigmoid junction or rectum who were registered in 2007 and 2008 by the NSW Central Cancer Registry and treated in 105 hospitals in NSW. MAIN OUTCOME MEASURES: Six outcome measures (30-day mortality, 28-day emergency readmission, prolonged length of stay, 30-day wound infection, 90-day venous thromboembolism, 1-year mortality) and five care process measures (discussion at multidisciplinary team [MDT] meeting, documented cancer stage, recorded pathological stage, treatment within 31 days of decision to treat, treatment within 62 days of referral). RESULTS: We analysed data for 6890 people. There was wide variation between hospitals in care process measures, even after adjusting for patient and hospital factors. Older adults were less likely to be discussed at an MDT meeting and receive treatment within suggested time frames (all P < 0.001 for colon cancer). Increasing patient age, greater extent of disease, higher Charlson comorbidity score and resection after emergency admission consistently showed strong evidence of an association with poor outcomes. Much of the variation between hospitals in outcome measures was accounted for by patient characteristics. CONCLUSIONS: Patient characteristics should be included in risk-adjustment models for comparing outcomes between hospitals and for quantifying hospital variation. Further exploration of the reasons why certain hospitals and patients appear to be at risk of poorer care is needed.

Adverse impacts in residential aged care facilities: The resident perspective.

OBJECTIVES: Inclusion of consumer perspectives is a key component to person-centred health-care approaches. While current residential aged care systems focus on recording adverse events to meet the requirements of regulatory reporting, little is known about the views of residents. The aim of this research was to explore residents' responses on the types of incidents that have an adverse impact on them and how they are affected by these incidents. METHODS: The study used a qualitative, inductive approach to derive themes from interviews with 20 permanent residents of aged care facilities in New South Wales and the Australian Capital Territory. RESULTS: Four main themes surrounding adverse incidents emerged: (i) social relationships and the adverse impacts of lack of meaningful interactions, (ii) adjustment to life in the residential aged care facility and the loss of residents' former life and self-determination, (iii) the impact of COVID-19 lockdowns which meant that residents were not able to go out or interact with others and (iv) acceptance, resignation and resilience in coping with adverse incidents. CONCLUSIONS: This research highlights the difference between health-care definition, used for incident management reporting and quality indicators, and the way residents respond when asked to describe an incident that has affected them. Resident responses discuss situations having an adverse effect on them in contrast to the way adverse events and incidents are reported and monitored. The findings suggest that within adverse event and incident management systems and resident governance systems, there is scope for incorporating periods of transitions and well-being measures that capture elements that matter to older people.

Designing an Informatics Infrastructure for a National Aged Care Medication Roundtable.

In the residential aged care sector medication management has been identified as a major area of concern contributing to poor outcomes and quality of life for residents. Monitoring medication management in residential aged care in Australia has been highly reliant on small, internal audits. The introduction of electronic medication administration systems provides new opportunities to establish improved methods for ongoing, timely and efficient monitoring of a range of medication indicators, made more meaningful by linking medication data with resident characteristics and outcomes. Benchmarking contemporary medication indicators provides a further opportunity for improvement and is most effective when indicator data are adjusted to take account of confounding factors, such as residents' characteristics and health conditions. Roundtables provide a structure for sharing and discussing indicator data in a trusted and supportive environment and encourage the identification of strategies which may be effective in improving medication management. This paper describes a new project to establish, implement and evaluate a National Aged Care Medication Roundtable.

'Environments of concern': reframing challenging behaviour within a human rights approach.

While disability is recognised by the United Nations Convention on the Rights of Persons with Disabilities (CRPD) as an evolving concept, the language of positive behaviour support has not kept pace with the current human rights-based approach. The widely-used terms 'challenging behaviour' and 'behaviours that challenge' imply that the behaviour is inherent in a person with disability. Words have power in shaping practice: when the behaviour of the person with disability is framed as the problem, this leads to a pathologisation or labelling that can provide a rationale to medicate and restrain as a way of 'managing the challenging behaviour'. Many behaviours seen as being challenging could be better understood as 'adaptive behaviours to maladaptive environments', or legitimate responses to difficult environments and situations. In this paper, we argue that the language and implementation of positive behaviour support should better take into account the CRPD and contemporary evidence on behaviour change interventions, which support a shift away from focusing on individuals' behaviours towards putting environments front and centre. We outline how the social-ecological model could be used as a framework to more explicitly address 'environments of concern' in developing tailored and system-wide responses to behaviour support needs. We argue there is an urgency for this paradigm shift to better reflect the views of people with disability and improve outcomes.

Unmet supportive care needs in colorectal cancer: differences by age.

PURPOSE: Cancer is primarily a disease of ageing, yet the unmet supportive care needs of older cancer patients are not well understood. This study aims to explore how unmet needs differ by age over the 3 months following colorectal cancer surgery. METHODS: Control groups from pilot phases of an ongoing randomised trial completed the Supportive Care Needs Survey-Short Form 34 (SCNS-SF34) at 1 and 3 months following hospital discharge (n = 57). Multiple regression was used to investigate whether age was an independent predictor of unmet needs in each of the five SCNS-SF34 domains. The proportion of patients with unmet needs and the pattern of item responses were compared between patients aged <65 and ≥ 65 years at both time points. RESULTS: Older age independently predicted significantly lower levels of unmet need than younger age in nearly all SCNS-SF34 domains. However, more than half of all older patients had unmet needs at both time points (56% and 65%), and age differences in unmet needs were less apparent by 3 months. Older patients were less likely than younger patients to report 'satisfied' needs, as older patients were significantly more likely to report items were 'not applicable' at both 1 month (mean difference 29%, p < 0.001) and 3 months (mean difference 23%, p = 0.01). CONCLUSIONS: While older patients reported lower levels of unmet need than younger patients, the high prevalence of unmet needs and age differences in item response patterns indicate that further research is needed to determine whether older patients' needs are being accurately captured.

Incidence of adverse incidents in residential aged care.

Objective Adverse incident research within residential aged care facilities (RACFs) is increasing and there is growing awareness of safety and quality issues. However, large-scale evidence identifying specific areas of need and at-risk residents is lacking. This study used routinely collected incident management system data to quantify the types and rates of adverse incidents experienced by residents of RACFs. Methods A concurrent mixed-methods design was used to examine 3 years of incident management report data from 72 RACFs in New South Wales and the Australian Capital Territory. Qualitative thematic analysis of free-text incident descriptions was undertaken to group adverse incidents into categories. The rates and types of adverse incidents based on these categories were calculated and then compared using incidence rate ratios (IRRs). Results Deidentified records of 11 987 permanent residents (aged ≥65 years; mean (±s.d.) age 84 ± 8 years) from the facilities were included. Of the 60 268 adverse incidents, falls were the most common event (36%), followed by behaviour-related events (33%), other impacts and injuries (22%) and medication errors (9%). The number of adverse incidents per resident ranged from 0 (42%) to 171, with a median of 2. Women (IRR 0.804; P P Conclusion This study demonstrates that data already collected within electronic management systems can provide crucial baseline information about the risk levels that adverse incidents pose to older Australians living in RACFs. What is known about the topic? To date, research into aged care adverse incidents has typically focused on single incident types in small studies involving mitigation strategies. Little has been published quantifying the multiple adverse incidents experienced by residents of aged care facilities or reporting organisation-wide rates of adverse incidents. What does this paper add? This paper adds to the growing breadth of Australian aged care research by providing baseline information on the rates and types of adverse incidents in RACFs across a large and representative provider. What are the implications for practitioners? This research demonstrates that the wealth of data captured by aged care facilities' incident management information systems can be used to provide insight into areas of commonly occurring adverse incidents. Better use of this information could greatly enhance strategic planning of quality improvement activities and the care provided to residents.

Quality indicators for home- and community-based aged care: A critical literature review to inform policy directions.

OBJECTIVES: Australia is lagging behind other countries in implementing quality indicators (QIs) in home- and community-based aged care. This research aimed to identify and appraise home care QI sets used internationally for older adults, to inform the future development and utilisation of QIs in the Australian context. METHODS: A systematic search of eligible studies outlining the development and validation of home care QI sets for older adults was undertaken. QIs were categorised using the Donabedian model to identify potential gaps in coverage of key areas of care quality. Each QI was classified as potentially "derivable" or not from existing national routinely collected datasets. Methodological quality was determined using the Appraisal of Indicators through Research and Evaluation instrument. RESULTS: Three sets of home care QIs developed and used internationally for older adults were identified. Two of the QI sets focused predominantly on clinical and functional aspects of care. Of 45 unique QIs, the majority were outcome measures (93%), with only three QIs measuring care processes (7%), and zero indicators measuring quality in terms of the structure of care (e.g., waiting time to access services). Nearly half of the individual indicators identified would require Australian home care providers to undertake additional data collection. There were significant methodological limitations in the development of QI sets, particularly in the scientific evidence domain. CONCLUSIONS: This review identified important gaps in existing QI sets, which should be considered by policymakers, researchers, and other stakeholders when developing and applying QIs in the Australian setting.

Characteristics of older Australian community aged care clients who fall: Incidents reported by care staff.

Falls are the leading cause of injury and hospitalisation for older adults (aged 65 years or older) worldwide. Data collected by community aged care providers are an underutilised source of information about precipitating risk factors and consequences of falls for older adults living in the community. The objective of this longitudinal, observational study was to describe and compare the characteristics of older Australians who did and did not have falls reported by community aged care staff. We analysed 19 months of routinely collected care management and incident data for 1,596 older clients from a large Australian community care provider. Differences in sociodemographic characteristics, care needs and community care service use were compared between those who had one or more reported falls and those who had none. Fall-related outcomes (injuries, hospitalisations, relocation to residential aged care) were examined. The average age of clients was 82 years and most were women (66%). Seventy-seven (4.8%) clients had one or more reported falls over the study period (total falls = 92). Clients who had falls reported by care staff were more likely to be older adults, male and use more hours of community care services per week. There were 38 falls-related injuries, 5 falls-related hospitalisations and 20 clients relocated to residential aged care after a reported fall. This study demonstrates the potential for using routinely collected community aged care data to understand risk factors and monitor longitudinal outcomes for a population at high risk of falls.

'I go home with a happy heart'. Enhancing community aged care services to sustain togetherness: Perspectives from Australian staff and clients.

Social participation is critical to the health and well-being of older adults, however, participation often declines with age. Research has identified that personal and environmental factors such as high socioeconomic status and accessible transportation are associated with higher levels of social participation. However, the barriers and facilitators to social participation experienced by older adults receiving community aged care services remains largely unexplored. This qualitative study aimed to generate context-rich data and identify the barriers and facilitators to effective community care services that can support older adults' participation in the community and contribute to individual well-being. Semi-structured focus groups were conducted with 40 community aged care clients and 21 staff members between January to July 2018 and thematic analysis was undertaken. Environmental factors, such as availability and accessibility of transportation services emerged as the most important factors influencing participation. Older age, self-attitude towards one's own functional ability and limited social networks were important personal factors affecting participation. Proactive aged care services (e.g., engaged staff, tailored activities) were reported to assist with continual engagement in aged care services. In contrast, the type, location and accessibility of the activity, associated costs and limited options for accessible transportation were key barriers to older adults' social participation. Pathways contributing to positive engagement were complex and variable, but personal well-being and local community resources emerged as important factors encouraging higher social participation. These findings are discussed in the context of the ongoing pandemic and implications for future aged care services are provided.

Older patients and adjuvant therapy for colorectal cancer: surgeon knowledge, opinions, and practice.

BACKGROUND: Increasing patient age independently predicts nonreferral and nonreceipt of adjuvant therapy among patients with colorectal cancer. OBJECTIVE: This study aimed to identify factors affecting surgeons' decisions to refer older patients for adjuvant therapy. DESIGN/SETTINGS/PARTICIPANTS: A self-administered survey was sent to all Australian and New Zealand colorectal surgeons (n = 146). MAIN OUTCOME MEASURES: The survey consisted of 3 sections: 1) knowledge of research evidence, 2) opinions on evidence and adjuvant therapy in older patients, and 3) self-reported practice, or likelihood of patient referral in different scenarios. Demographic information was also obtained. RESULTS: Seventy percent of surgeons responded. Surgeons were significantly less likely to refer older patients than younger patients for adjuvant therapy in all scenarios (P < .001). The difference in referral recommendations was greatest when patients lived a long way from treatment, had a comorbid condition, or had little social support. There was greater variation in referral recommendations for older patients, and marked disagreement between surgeons in knowledge and opinion questions. Surgeon age was the only significant predictor of survey responses. Greater knowledge and more positive opinions predicted similar referral recommendations for older and younger patients (P = .02, P = .01). LIMITATIONS: Although decreased referral and receipt of adjuvant therapy among older patients is most likely multifactorial, this survey focused on the views of one physician group and a number of specific scenarios. CONCLUSIONS: Chronological age alone appears to impact colorectal surgeons' decisions to refer patients for adjuvant therapy. Sociodemographic and physiological factors further decrease the likelihood of referral of older patients. A lack of consensus among surgeons suggests that more research is needed both to predict how older patients with cancer will react to treatment, and to determine how information from emerging evidence can be best used to assist physicians' treatment decisions.

A comprehensive overview of social network measures for older adults: A systematic review.

OBJECTIVES: The size and type of older adults' social networks is associated with health, mental and social outcomes. Investigators within many disciplines are now measuring social networks, but it is not always clear what they are assessing, or which measures may best meet their objectives. To undertake a systematic review to identify (i) social network measures used for older adults, (ii) variety of social network dimensions and (iii) how measures have developed over time. MATERIALS AND METHODS: The MEDLINE, EMBASE, CINAHL, PsycInfo and Cochrane Library databases were systematically searched to identify social network instruments, followed by categorization of the domains into quantitative, qualitative and alter domains. RESULTS: A total of 229 studies and 21 social network measures were included, with 11 quantitative dimensions (e.g., size, frequency), 5 qualitative dimensions (e.g., support satisfaction, emotional bond) and 7 alter members (e.g., family, neighbours) of social networks identified. Measures commonly clustered on quantifiable network size (n = 19), availability of supportive networks (n = 14) and presence of family ties (n = 21). The period between 1985 and 1995 produced the greatest number of newly developed social network measures (n = 10) with a stronger focus on qualitative features. DISCUSSION AND IMPLICATIONS: This review provides researchers with an organized summary of measures and dimensions for consideration when appraising social connections in older adults. This can enable better study design through providing information that makes explicit inevitable trade-offs between survey length, comprehensiveness of dimension coverage, and utilization of the measure for researchers. PROSPERO Registration number: CRD42016043089.