Parental acceptance of brain health programs for preschool children: a mixed-methods study exploring barriers, facilitators and future approaches.

Background: Recent research proposes that as much as 40% of dementia risk is amendable. Promoting healthy lifestyle behaviors in early life through educational methods can cultivate habits that may decrease dementia risk in later life. This study explores parental acceptance of brain health programs tailored for preschool children, aiming to identify barriers and facilitators affecting parental and child engagement. Methods: Mixed-methods cross-sectional study. Urban and suburban parents (N = 187, M age = 37.3 SD = 5.53, range = 29) of children aged three to five years across Australia. Parents participated in an online survey containing both open and closed questions exploring their personal views and opinions on brain health programs for their preschool children. Descriptive statistics, multiple linear regression analyses, and thematic analysis were used to explore sociodemographic factors associated with parental program acceptance. Results: Most participants accepted a brain health program with over 98% agreeing a program would be useful for their child(ren). Participants with younger aged children were more likely to exhibit acceptance of a program (ß = -0.209, p = 0.007). Three main categories emerged: dual home and preschool environments, the need for engaging brain health programs that were hands-on and screen-free, and addressing key barriers such as time and financial constraints to support implementation. Conclusion: Participants valued educating their children for a healthy life and viewed brain health programs favorably. This study contributes to early childhood education discussions, offering guidance for future generations' brain health and wellbeing.

The use and predictive performance of the Peninsula Health Falls Risk Assessment Tool (PH-FRAT) in 25 residential aged care facilities: a retrospective cohort study using routinely collected data.

BACKGROUND: The Peninsula Health Falls Risk Assessment Tool (PH-FRAT) is a validated and widely applied tool in residential aged care facilities (RACFs) in Australia. However, research regarding its use and predictive performance is limited. This study aimed to determine the use and performance of PH-FRAT in predicting falls in RACF residents. METHODS: A retrospective cohort study using routinely-collected data from 25 RACFs in metropolitan Sydney, Australia from Jul 2014-Dec 2019. A total of 5888 residents aged ≥65 years who were assessed at least once using the PH-FRAT were included in the study. The PH-FRAT risk score ranges from 5 to 20 with a score > 14 indicating fallers and ≤ 14 non-fallers. The predictive performance of PH-FRAT was determined using metrics including area under receiver operating characteristics curve (AUROC), sensitivity, specificity, sensitivityEvent Rate(ER) and specificityER. RESULTS: A total of 27,696 falls were reported over 3,689,561 resident days (a crude incident rate of 7.5 falls /1000 resident days). A total of 38,931 PH-FRAT assessments were conducted with a median of 4 assessments per resident, a median of 43.8 days between assessments, and an overall median fall risk score of 14. Residents with multiple assessments had increased risk scores over time. The baseline PH-FRAT demonstrated a low AUROC of 0.57, sensitivity of 26.0% (sensitivityER 33.6%) and specificity of 88.8% (specificityER 82.0%). The follow-up PH-FRAT assessments increased sensitivityER values although the specificityER decreased. The performance of PH-FRAT improved using a lower risk score cut-off of 10 with AUROC of 0.61, sensitivity of 67.5% (sensitivityER 74.4%) and specificity of 55.2% (specificityER 45.6%). CONCLUSIONS: Although PH-FRAT is frequently used in RACFs, it demonstrated poor predictive performance raising concerns about its value. Introducing a lower PH-FRAT cut-off score of 10 marginally enhanced its predictive performance. Future research should focus on understanding the feasibility and accuracy of dynamic fall risk predictive tools, which may serve to better identify residents at risk of falls.

Co-designing a dashboard of predictive analytics and decision support to drive care quality and client outcomes in aged care: a mixed-method study protocol.

INTRODUCTION: There is a clear need for improved care quality and quality monitoring in aged care. Aged care providers collect an abundance of data, yet rarely are these data integrated and transformed in real-time into actionable information to support evidence-based care, nor are they shared with older people and informal caregivers. This protocol describes the co-design and testing of a dashboard in residential aged care facilities (nursing or care homes) and community-based aged care settings (formal care provided at home or in the community). The dashboard will comprise integrated data to provide an 'at-a-glance' overview of aged care clients, indicators to identify clients at risk of fall-related hospitalisations and poor quality of life, and evidence-based decision support to minimise these risks. Longer term plans for dashboard implementation and evaluation are also outlined. METHODS: This mixed-method study will involve (1) co-designing dashboard features with aged care staff, clients, informal caregivers and general practitioners (GPs), (2) integrating aged care data silos and developing risk models, and (3) testing dashboard prototypes with users. The dashboard features will be informed by direct observations of routine work, interviews, focus groups and co-design groups with users, and a community forum. Multivariable discrete time survival models will be used to develop risk indicators, using predictors from linked historical aged care and hospital data. Dashboard prototype testing will comprise interviews, focus groups and walk-through scenarios using a think-aloud approach with staff members, clients and informal caregivers, and a GP workshop. ETHICS AND DISSEMINATION: This study has received ethical approval from the New South Wales (NSW) Population & Health Services Research Ethics Committee and Macquarie University's Human Research Ethics Committee. The research findings will be presented to the aged care provider who will share results with staff members, clients, residents and informal caregivers. Findings will be disseminated as peer-reviewed journal articles, policy briefs and conference presentations.

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.

The co-design of timely and meaningful information needed to enhance social participation in community aged care services: Think tank proceedings.

OBJECTIVE: To determine what information from community aged care social participation and quality of life assessments needs to be captured, and meaningfully utilised as part of an integrated information and communication technology system. METHODS: Two think tank sessions comprised of community aged care staff and researchers (n = 9) were conducted over 5 weeks. The sessions were guided by the Continuous Quality Improvement framework. Thematic analysis was used to categorise the think tank data. RESULTS: To monitor progress over time, participants needed more contextual information captured in the assessment forms, such as client goals and outcomes of assessments. The aged care provider agreed to embed outcome measure score and action following assessment into its information and communication technology system. CONCLUSION: Collaboration between aged care staff and researchers resulted in adjustments to the aged care provider's information and communication technology system to better target the monitoring and planning of its clients' psychosocial needs.

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.

The Use of Data Analytics to Build an Australian Context-Sensitive Health Informatics Framework for Consumer-Directed Community Aged Care.

The challenge of providing services that meet the growing needs of an ageing population is one confronted by communities across Australia and internationally. The aim of this study was to: a) undertake semi-structured interviews and focus groups across a sample of service and technical staff to identify the interconnection between communication, information, work practices and performance; and b) carry out a comprehensive review of existing data sources to identify the data linkages required to identify and monitor performance across different dimensions of the quality of aged care spectrum. The results from this study provided empirical evidence of the interconnection between communication, information, work practices and performance; and highlighted numerous potential data linkages which can be used to monitor performance across different dimensions of aged care. These included: the uptake and utilisation of community care services, community aged care client interactions and transitions (with hospitals and other health care providers), and quality of life measures (e.g., health and safety status, symptoms of depression and anxiety, social integration and mortality rates).