The relationship between participation in leisure activities and incidence of falls in residential aged care.

BACKGROUND: Active engagement in leisure activities has positive effects on individuals' health outcomes and social functioning; however, there is limited understanding of the link between participation in leisure activities, particularly non-exercise activities, and falls in older adults. This study aimed to determine the relationship between participation in leisure activities and the incidence of falls, and the variation of this relationship by dementia status in residential aged care facilities (RACFs). METHODS: A retrospective longitudinal cohort study utilising routinely collected data (January 2021-August 2022) from 25 RACFs in Sydney, Australia, was conducted. The cohort included 3,024 older permanent residents (1,493 with dementia and 1,531 without) aged ≥65 and with a stay of ≥1 week. The level of participation in leisure activities was measured using the number of leisure activities per 1,000 resident days and divided into quartiles. Outcome measures were the incidence rate of all falls and injurious falls (i.e., number of falls per 1,000 resident days). We used multilevel negative binary regression to examine the relationship between leisure participation and fall incidence. RESULTS: For the whole sample, leisure participation was significantly inversely associated with the incidence rate of all falls and injurious falls. For example, residents in the high leisure participation group were 26% less likely to experience a fall compared to those in the low leisure participation group after controlling for confounders (incidence rate ratio = 0.74, 95% confidence interval = 0.60, 0.91). Such inverse relationship was observed in both exercise and non-exercise activities and was stronger among residents without dementia. CONCLUSIONS: Leisure participation is associated with a lower rate of falls, a key quality indicator by which RACFs are benchmarked and funded in Australia and many other countries. More recognition and attention are needed for the currently underfunded leisure activities in RACFs in future funding arrangement.

Development and internal validation of a dynamic fall risk prediction and monitoring tool in aged care using routinely collected electronic health data: a landmarking approach.

OBJECTIVES: Falls pose a significant challenge in residential aged care facilities (RACFs). Existing falls prediction tools perform poorly and fail to capture evolving risk factors. We aimed to develop and internally validate dynamic fall risk prediction models and create point-based scoring systems for residents with and without dementia. MATERIALS AND METHODS: A longitudinal cohort study using electronic data from 27 RACFs in Sydney, Australia. The study included 5492 permanent residents, with a 70%-30% split for training and validation. The outcome measure was the incidence of falls. We tracked residents for 60 months, using monthly landmarks with 1-month prediction windows. We employed landmarking dynamic prediction for model development, a time-dependent area under receiver operating characteristics curve (AUROCC) for model evaluations, and a regression coefficient approach to create point-based scoring systems. RESULTS: The model identified 15 independent predictors of falls in dementia and 12 in nondementia cohorts. Falls history was the key predictor of subsequent falls in both dementia (HR 4.75, 95% CI, 4.45-5.06) and nondementia cohorts (HR 4.20, 95% CI, 3.87-4.57). The AUROCC across landmarks ranged from 0.67 to 0.87 for dementia and from 0.66 to 0.86 for nondementia cohorts but generally remained between 0.75 and 0.85 in both cohorts. The total point risk score ranged from -2 to 57 for dementia and 0 to 52 for nondementia cohorts. DISCUSSION: Our novel risk prediction models and scoring systems provide timely person-centered information for continuous monitoring of fall risk in RACFs. CONCLUSION: Embedding these tools within electronic health records could facilitate the implementation of targeted proactive interventions to prevent falls.

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.

Effectiveness of fall prevention interventions in residential aged care and community settings: an umbrella review.

INTRODUCTION: Preventing falls is a priority for aged care providers. Research to date has focused on fall prevention strategies in single settings (e.g., residential aged care (RAC) or community settings). However, some aged care providers deliver care, including fall prevention interventions, across RAC and community settings. We conducted an umbrella review to identify what type of fall prevention interventions had the greatest impact on falls outcomes in RAC and community settings. METHODS: Five databases were searched for systematic reviews of falls prevention randomised control trials in older adults living in the community or RAC. Data extracted included systematic review methods, population characteristics, intervention characteristics, setting details (RAC or community), and fall-related outcomes (falls, people who have had a fall, fall-related hospitalisations, and fall-related fractures). Review quality was appraised using the Assessment of Multiple Systematic Reviews-2 tool. RESULTS: One-hundred and six systematic reviews were included; 63 and 19 of these stratified results by community and RAC settings respectively, the remainder looked at both settings. The most common intervention types discussed in reviews included 'exercise' (61%, n = 65), 'multifactorial' (two or more intervention types delivered together) (26%, n = 28), and 'vitamin D' (18%, n = 19). In RAC and community settings, 'exercise' interventions demonstrated the most consistent reduction in falls and people who have had a fall compared to other intervention types. 'Multifactorial' interventions were also beneficial in both settings however demonstrated more consistent reduction in falls and people who fall in RAC settings compared to community settings. 'Vitamin D' interventions may be beneficial in community-dwelling populations but not in RAC settings. It was not possible to stratify fall-related hospitalisation and fall-related fracture outcomes by setting due to limited number of RAC-specific reviews (n = 3 and 0 respectively). CONCLUSION: 'Exercise' interventions may be the most appropriate falls prevention intervention for older adults in RAC and community settings as it is beneficial for multiple fall-related outcomes (falls, fall-related fractures, and people who have had a fall). Augmenting 'exercise' interventions to become 'multifactorial' interventions may also improve the incidence of falls in both settings.

Hospitalisations before and after entry into a residential aged care facility: An interrupted time series analysis.

OBJECTIVE: Hospitalisations are an important indicator of safety and quality of care in residential aged care facilities (RACFs). This study aimed to investigate changes in hospital use 12 months before and 12 months after RACF entry using routinely collected data from 25 Australian RACFs. METHODS: This was a retrospective longitudinal cohort study using linked aged care provider and hospital record data. The sample comprised 1029 residents living in an aged care facility between July 2014 and December 2019 who had stayed a minimum of 12 months in an RACF. The outcome measures were all-cause hospitalisations and fall-related hospitalisations. We applied an interrupted time series analysis using segmented regression to examine changes in both outcome measures over time. Stratified analyses were conducted by gender and dementia status. RESULTS: The rate of all-cause hospitalisations increased dramatically over the 12 months before RACF entry, from 97 per 1000 residents per month 12 months prior to RACF admission to 303 per 1000 residents at the second month prior to RACF entry. All-cause hospitalisations then decreased considerably to 55 per 1000 residents upon RACF admission and stabilised across the next 12 months. Such trajectories were also observed in fall-related hospitalisations and were consistent for gender and dementia status. CONCLUSIONS: In this study, hospitalisation rates decreased significantly after RACF entry, and such reductions were maintained for residents who stayed for 12 months in RACFs. Multiple hospital admissions are likely to precipitate entry into RACF. Additional investigation of how community-based services can be successful in reducing the escalating hospitalisations is needed.

Innovative approaches to analysing aged care falls incident data: international classification for patient safety and correspondence analysis.

Falls in residential aged care facilities (RACFs) are common and can have significant health consequences. Understanding how and why falls occur in RACFs is an essential step to design targeted fall prevention and intervention programmes; however, little is known about falls' mechanisms in RACFs. This study aims to use international incident classification systems and novel analysis techniques to describe factors that contribute to falls requiring hospitalization in RACFs. Retrospective data of falls assessed by nurses as requiring hospitalization from 429 residents in 22 Australian RACFs in 2019 were used. Data were reviewed using a modified version of the International Classification for Patient Safety (ICPS), which categorizes patient safety into incident types and contributing factors using a three-tiered structure. The ICPS codes were summarized using the descriptive statistics. The association between assigned ICPS codes were analysed using correspondence analysis. Six hundred and three falls assessed as requiring hospitalization were classified into 659 incident types, with the most common incident type being 'patient incidents' (injury sustained/adverse effect in the health care system) (603, 91.5%) at Level 1, 'falls' (601, 91.2%) at Level 2, and 'falls involving bedrooms' (214, 32.5%) at Level 3. The 603 falls had 1082 contributing factors, with the most common contributing factor being 'patient factors' (events affected by factors associated with the patient) (982, 90.8%) at Level 1, 'patient not elsewhere classified' (characteristics of the patient contributed to the incident not classified elsewhere) (571, 52.8%) at Level 2, and 'loss of balance' (361, 33.4%) at Level 3. In a correspondence analysis, three dimensions were responsible for 81.2% of the variation in falls incidents and environmental and organizational factors were important factors contributing to falls. The application of the ICPS demonstrated that personal factors (e.g. pre-existing physical and psychological health or impairment) were the most common contributing factors to falls assessed as requiring hospitalization, while the correspondence analysis highlighted the role of environmental and organizational factors. The results signal the need for more research into multifactorial falls prevention interventions in RACFs.

Allied health service delivery in residential aged care and the impact of the coronavirus (COVID-19) pandemic: a survey of the allied health workforce.

Objectives Industry reports suggest that routine and essential care in Australian residential aged care (RAC), including allied health (AH) services, were disrupted during the coronavirus diseas 2019 (COVID-19) pandemic. This study aimed to explore whether AH services in RAC were paused during the pandemic, factors associated with a pause in care delivery, and qualitative details on how COVID-19 impacted AH service delivery. Methods A 26-question survey was distributed via social media, health service providers, and AH networks between February and April 2022. Participation was restricted to AH professionals and assistants with experience in RAC during the pandemic. A mix of closed and open-ended response questions was used to collect demographic data and experiences of delivering care during the pandemic. Quantitative responses were analysed with descriptive statistics and a probit model. Content analysis was performed on open-ended questions. Results One hundred and four AH professionals and assistants responded to the survey. Fifty-five percent of participants (n = 51) were contractually or casually employed. AH services were negatively impacted by the pandemic with 52% of respondents experiencing a pause in service delivery and 78% reporting poorer AH care quality. In a probit model, contracted/casually employed respondents were more likely to experience a pause in care delivery (1.03, P < 0.05) compared to permanently employed AH professionals. Conclusion Insecure work arrangements may have exacerbated inconsistent care during the pandemic (impacting residents) and may have negative implications on the RAC AH workforce. In the future, an AH inclusive workforce policy including data collection and research is required to monitor and plan the RAC workforce.

Just visiting: A qualitative study of Australian allied health professionals' experiences working in residential aged care facilities during the COVID-19 pandemic.

OBJECTIVES: Internationally, the COVID-19 pandemic has negatively impacted health professionals' experiences of delivering effective care. The experiences of health professionals are important: poor experience has been associated with poorer patient outcomes and high staff turnover. This study aimed to narratively explore the impact of the COVID-19 pandemic on the experience of delivering allied health (AH) care in Australian residential aged care (RAC). METHODS: Semistructured interviews were conducted in February-May 2022 with AH professionals who had experience working in RAC during the pandemic. Interviews were audio-recorded, transcribed verbatim and thematically analysed in NVivo 20. Twenty-five per cent of interview transcripts were independently analysed by three researchers to create a coding structure. RESULTS: Three themes were identified from interviews with 15 AH professionals to describe experiences delivering care pre-COVID-19, during COVID-19, and perceptions of care delivery in future. Prepandemic AH in RAC was believed to be under-resourced, delivering low-quality and reactive care. During the pandemic, pauses in, and the slow resumption of, AH services exacerbated professionals' feelings of being undervalued in resident care and in the workforce. Participants were optimistic about the impact AH could have in RAC in future if practice was embedded, multidisciplinary and funded appropriately. CONCLUSIONS: AH professionals' experiences of delivering care in RAC are often poor, regardless of the pandemic. Further research on multidisciplinary practice and health professional experience in RAC is needed.

Usability and Acceptability of Clinical Dashboards in Aged Care: Systematic Review.

BACKGROUND: The use of clinical dashboards in aged care systems to support performance review and improve outcomes for older adults receiving care is increasing. OBJECTIVE: Our aim was to explore evidence from studies of the acceptability and usability of clinical dashboards including their visual features and functionalities in aged care settings. METHODS: A systematic review was conducted using 5 databases (MEDLINE, Embase, PsycINFO, Cochrane Library, and CINAHL) from inception to April 2022. Studies were included in the review if they were conducted in aged care environments (home-based community care, retirement villages, and long-term care) and reported a usability or acceptability evaluation of a clinical dashboard for use in aged care environments, including specific dashboard visual features (eg, a qualitative summary of individual user experience or metrics from a usability scale). Two researchers independently reviewed the articles and extracted the data. Data synthesis was performed via narrative review, and the risk of bias was measured using the Mixed Methods Appraisal Tool. RESULTS: In total, 14 articles reporting on 12 dashboards were included. The quality of the articles varied. There was considerable heterogeneity in implementation setting (home care 8/14, 57%), dashboard user groups (health professionals 9/14, 64%), and sample size (range 3-292). Dashboard features included a visual representation of information (eg, medical condition prevalence), analytic capability (eg, predictive), and others (eg, stakeholder communication). Dashboard usability was mixed (4 dashboards rated as high), and dashboard acceptability was high for 9 dashboards. Most users considered dashboards to be informative, relevant, and functional, highlighting the use and intention of using this resource in the future. Dashboards that had the presence of one or more of these features (bar charts, radio buttons, checkboxes or other symbols, interactive displays, and reporting capabilities) were found to be highly acceptable. CONCLUSIONS: A comprehensive summary of clinical dashboards used in aged care is provided to inform future dashboard development, testing, and implementation. Further research is required to optimize visualization features, usability, and acceptability of dashboards in aged care.

The relationship between fall incidents and place of birth in residential aged care facilities: a retrospective longitudinal cohort study.

BACKGROUND: Older populations in residential aged care facilities (RACFs) in many immigrant-receiving countries are now being increasingly culturally and linguistically diverse (CALD). CALD populations require tailored social and health services to support their needs and improve health outcomes. Falls among the elderly are common and can have significant health and psychosocial consequences. There is some evidence to suggest that country of birth may influence risk of falls among older people, but such evidence has been scarce. This study aimed to determine the association between place of birth and the incidence of falls in RACFs. METHODS: Routinely collected incident data relating to 5,628 residents aged ≥ 65 years in 25 RACFs in Sydney, New South Wales, Australia were used. RACF residents were classified into two groups, Australia-born (N = 4,086) and overseas-born (N = 1,542). Overseas-born RACF residents were further categorised into two subgroups: overseas-English-speaking-country (N = 743) and overseas-non-English-speaking-country (N = 799). Outcomes measures were rate of all falls, injurious falls and falls requiring hospitalisation. Multilevel binary negative regression was used to examine the relationship between fall risk and place of birth. RESULTS: Incidence rates of all falls, injurious falls and falls requiring hospitalisation were 8.62, 3.72 and 1.07 incidents per 1,000 resident days, respectively, among the Australia-born RACF residents, but were higher at 11.02, 4.13 and 1.65, respectively, among the overseas-born RACF residents. Within those born overseas, fall rates were higher among the overseas-non-English-speaking-country-born residents (11.32, 4.29 and 2.22, respectively) than those overseas-English-speaking-country-born (10.70, 3.96 and 1.05, respectively). After controlling for confounders, the overseas-born RACF residents overall experienced a higher risk of all three types of falls (incidence rate ratios: [IRR] = 1.278, 95% confidence interval [CI] = 1.131, 1.443; injurious falls: IRR = 1.164 [95% CI = 1.013, 1.338]; falls requiring hospitalisation: IRR = 1.460 [95% CI = 1.199, 1.777]) than the Australia-born RACF residents. Among the overseas-born RACF residents, males, respite residents and those overseas-non-English-speaking-country-born experienced higher rates of falls. CONCLUSIONS: Fall incidence in RACFs varies significantly by place of birth. With increasingly diverse RACF populations, fall intervention and prevention programs should consider cultural and linguistical backgrounds of RACF residents. Greater attention to understand the mechanisms for the differences by place of birth in risk profiles is warranted.

Opioid prescribing among aged care residents during the first year of the COVID-19 pandemic: an analysis using general practice health records in Australia.

BACKGROUND: Opioid use is common among adults 65 years and older, while long-term use of opioids remains controversial and poses risks of drug dependence and other adverse events. The acute disease caused by the SARS-CoV-2 (COVID-19) pandemic has created new challenges and barriers to healthcare access, particularly for long-term care residents. Australia had a relatively low incidence and deaths due to COVID-19 during the first year of the pandemic compared to most OECD countries. In this context, we examined opioid prescribing rates and their dosage in residential aged care facilities (RACFs) before (2019) and during the COVID-19 pandemic (2020) from March to December in Australia. METHODS: We conducted a retrospective cohort using general practice electronic health records. This includes 17,304 RACF residents aged 65 years and over from 361 general practices in New South Wales and Victoria. Number of opioid prescriptions and percentage of opioids over 50 mg/day of oral morphine equivalent (OME) were described. Multivariate generalized estimating equations were applied to estimate odds ratios [aORs (95% confidence intervals)] for 1) opioids prescribed per consultation and 2) prescription opioids over 50 mg/day OME. RESULTS: In 2020 among 11,154 residents, 22.8% of 90,897 total prescriptions were opioids, and of the opioids, 11.3% were over 50 mg/day OME. In 2019 among 10,506 residents, 18.8% of 71,829 total prescriptions were opioids, of which 10.3% were over 50 mg/day OME. Year [2020 vs. 2019: aOR (95% CI):1.50 (1.44, 1.56); 1.29 (1.15, 1.46)] and regionality [rural/regional vs. metropolitan: 1.37 (1.26, 1.49); 1.40 (1.14, 1.71)] were associated with higher odds of prescription opioids and OME > 50 mg/day, respectively. Similar results were found when limited to the same residents (n = 7,340) recorded in both years. CONCLUSIONS: Higher prescription rates of opioids were observed during the COVID-19 pandemic in 2020 than in 2019 in Australian RACFs. The higher odds of prescription opioids and higher dosing in rural/regional than metropolitan areas indicate a widening of the gap in the quality of pain management during the pandemic. Our findings contribute to the limited data that indicate increased opioid prescriptions in long-term care facilities, likely to continue while COVID-19 pandemic restrictions remain.

A framework for conducting policy-relevant primary care research: a COVID-19 case study in Australia.

The onset of the coronavirus disease 2019 (COVID-19) pandemic, caused by SARS-CoV-2, and the ensuing implementation of response measures directly impacted the delivery of Australian primary care services. Understanding how these measures affected practice activity is important for gauging both their effectiveness and implications for future service planning. During the first 2years of the COVID-19 pandemic, a research project was undertaken to determine the impact of the pandemic on Australian general practice activity as a collaborative undertaking between researchers, general practitioners, data custodians, and five primary health networks from New South Wales and Victoria, Australia. The project methodology was based on an established research approach called action research, which involves participatory involvement from key stakeholders throughout the research process. The strength and success of the project's methodological approach stemmed from the synergistic interrelationship between the four key elements of: collaboration, repeated action research cycles (utilising electronic general practice data), engaged governance, and the production and dissemination of apposite knowledge outcomes. The project approach, knowledge outputs and lessons learned can be adapted to future research undertakings across any primary care setting and highlight the utility of action research and interdisciplinary research collaboration to produce knowledge directly relevant to clinical practice.

Timeliness of Microbiology Test Result Reporting and Association with Outcomes of Adults Hospitalised with Unspecified Pneumonia: A Data Linkage Study.

Background: Pneumonia is one of the leading causes of mortality and morbidity worldwide. Microbiology tests play a critical role in the diagnosis of pneumonia. Our study aimed to determine microbiology result reporting times and evaluate their association with outcomes of adult patients (≥18 years) hospitalised with pneumonia. Methods: This is a 3-year (2016-2018) retrospective cohort study in six hospitals in New South Wales, Australia. The study data were obtained by linking hospital and laboratory system databases. Result reporting times including time from admission to the first and the last microbiology test results were determined. The outcome measures were hospital length of stay (LOS) and in-hospital mortality. We fit median and logistic regression to evaluate the association of time-to-first microbiological result with hospital LOS and in-hospital mortality, respectively. Results: A total of 6,298 patients met the inclusion criteria. Of these, 85.3% (n = 5,375) ordered at least one microbiology test. The top 5 microbiology tests were blood culture, urine culture, respiratory polymerase chain reaction (PCR), urine antigen, and sputum culture. The median time-to-first microbiology result was 26 hrs while the median time-to-last test result was 144 hrs. The rate of in-hospital mortality was 5.9% (n = 371). After adjusting for confounders, every 5 hrs increase in the time-to-first microbiology test was associated with an increase of 3.9 hrs in the median hospital LOS [95% Confidence Interval (CI), 3.5 to 4.3; P ≤ 0.001]. There was no association between time-to-first microbiology result and in-hospital mortality (OR 1.01; 95% CI 1.00-1.02; P=0.122). Conclusion: Time-to-first microbiology result reporting was significantly associated with hospital LOS but not with in-hospital mortality. Further research should be conducted to understand if improving result reporting times can reduce the length of hospital stay of patients.

Epidemiology of falls in 25 Australian residential aged care facilities: a retrospective longitudinal cohort study using routinely collected data.

BACKGROUND: Falls are frequent among older adults and have significant health and economic consequences. There have been few studies on the epidemiology of falls in residential aged care facilities (RACFs). OBJECTIVE: To determine the incidence of falls in RACFs using longitudinal routinely collected incident data over 5 years (July 2014-December 2019). METHODS: A retrospective cohort study is conducted using fall incident data from 25 RACFs in Sydney, NSW, Australia. Incidents relating to a population of 6163 aged care residents aged ≥65 years were included. Outcome measures were incidents of all falls, injurious falls and falls requiring hospitalization. The risk-adjusted incidence rate (IR) for each outcome indicator for each of the 25 facilities was calculated. RESULTS: A total of 27 878 falls were reported over 3 906 772 resident days (a crude rate of 7.14 incidents per 1000 resident days; 95% confidence interval (CI) 6.81-7.48). Of these, 10 365 (37.2%) were injurious and 2733 (9.8%) required hospitalization. The crude IRs were 2.65 incidents per 1000 resident days (95% CI 2.53-2.78) for injurious falls and 0.70 incidents per 1000 resident days (95% CI 0.66-0.74) for falls requiring hospitalization. The incidence of falls was significantly higher in respite compared to permanent residents for all falls (adjusted IR ratio (aIRR) 1.33; 95% CI 1.18-1.51) and injurious falls (aIRR 1.30; 95% CI 1.14-1.48) and for men compared to women for all outcomes (all falls aIRR 1.69; 95% CI 1.54-1.86; injurious falls aIRR 1.87; 95% CI 1.71-2.04 and falls requiring hospitalization aIRR 1.29; 95% CI 1.12-1.48). The risk-adjusted IRs per 1000 resident days between facilities varied substantially (all falls 0.57-12.93 falls; injurious falls 0.25-4.47 and falls requiring hospitalization 0.10-1.70). CONCLUSION: Falls are frequent in RACFs, often resulting in injury and hospitalization. The study provides robust and comprehensive information that may help inform future initiatives to minimize the incidence of falls in RACFs.

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.

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.

Medication prescribing in face-to-face versus telehealth consultations during the COVID-19 pandemic in Australian general practice: a retrospective observational study.

BACKGROUND: There has been a precipitous rise in telehealth use in general practice during the COVID-19 pandemic. Understanding differences between face-to-face and telehealth consulting is an important component for planning the future use of telehealth services beyond the pandemic. However, there is limited evidence on whether telehealth consulting impacts medication prescribing under pandemic circumstances. AIM: To compare medication prescribing in face-to-face consultations with telehealth during the COVID-19 pandemic in Australian general practice. DESIGN & SETTING: A multisite, retrospective observational study. De-identified routinely collected electronic health data were used, which were extracted from 806 general practices in Victoria and New South Wales (NSW), Australia, between April and December 2020. METHOD: The primary outcome measure was whether at least one medication was prescribed following a telehealth or face-to-face consultation. Data were reported by medication and for each of the Anatomical Therapeutic Chemical (ATC) classification system level 1 groups. The secondary outcome measure was first-time prescribing. Telehealth included both telephone and video consultations. RESULTS: A total of 13 608 216 consultations satisfied the inclusion criteria (61.0% face to face and 39.0% telehealth). Most telehealth consultations were conducted via telephone (97.8%). Overall, 39.3% of face-to-face and 33.0% of telehealth consultations prescribed at least one medication, which is a statistically significant difference (adjusted odds ratio [OR] 1.38, 95% confidence interval [CI] = 1.379 to 1.381). The prescribing rate was greater for face-to-face versus telehealth consultations for all drug groups except ATC level 1N (nervous system). CONCLUSION: Under COVID-19 restrictions in the states of Victoria and NSW, Australia, medication prescribing was higher in face-to-face consultations when compared with telehealth consultations in the study population.

Diagnostic Informatics-The Role of Digital Health in Diagnostic Stewardship and the Achievement of Excellence, Safety, and Value.

Diagnostic investigations (pathology laboratory and medical imaging) aim to: increase certainty of the presence or absence of disease by supporting the process of differential diagnosis; support clinical management; and monitor a patient's trajectory (e. g., disease progression or response to treatment). Digital health can be defined as the collection, storage, retrieval, transmission, and utilization of data, information, and knowledge to support healthcare. Digital health has become an essential component of the diagnostic process, helping to facilitate the accuracy and timeliness of information transfer and enhance the effectiveness of decision-making processes. Digital health is also important to diagnostic stewardship, which involves coordinated guidance and interventions to ensure the appropriate utilization of diagnostic tests for therapeutic decision-making. Diagnostic stewardship and informatics are thus important in efforts to establish shared decision-making. This is because they contribute to the establishment of shared information platforms (enabling patients to read, comment on, and share in decisions about their care) based on timely and meaningful communication. This paper will outline key diagnostic informatics and stewardship initiatives across three interrelated fields: (1) diagnostic error and the establishment of outcomes-based diagnostic research; (2) the safety and effectiveness of test result management and follow-up; and (3) digitally enhanced decision support systems.

Why is there variation in test ordering practices for patients presenting to the emergency department with undifferentiated chest pain? A qualitative study.

INTRODUCTION: Up to one-third of laboratory tests ordered in the ED for adults presenting with undifferentiated chest pain are generally not indicated by current Australian guidelines. This study set out to undertake a qualitative investigation of clinician perceptions to identify the reasons for variations in pathology requesting. METHODS: For this study, we draw on data from semistructured interviews (n=38) conducted in the EDs and laboratories across three hospitals as part of a larger study on the test result management process from test request to result follow-up. Thematic analysis was conducted to determine what aspects of the clinical routines and environment might contribute to variations in pathology requesting. Informed by the findings from the analysis, targeted questions were developed and further focus groups (n=5) were held with clinicians, hospital management and electronic medical record (eMR) analysts to investigate in more detail the reasons for requesting outside of guidelines. RESULTS: Participants cited four main reasons for ordering outside of guidelines. Clinicians requested tests outside of guidelines and the ED scope of practice to facilitate the patient journey along the broader continuum of care, including admission to hospital or transfer to another site. Clinicians were also faced with multiple and inconsistent guidelines regarding appropriate test selection. Limited access to in-house specialty and diagnostic services also influenced ordering patterns in smaller non-referral hospitals. Finally, certain features of the current electronic ordering framework within the eMR facilitated overordering and failed to impose any real restrictions on ordering inappropriately or outside of scope of practice. CONCLUSION: Beyond the standardisation of pathology requesting advice across electronic decision support, order sets and guidelines, attempts to address issues related to the appropriateness and variation of laboratory test ordering should consider local and systemic factors which also shape the ordering process.

COVID-19: protocol for observational studies utilizing near real-time electronic Australian general practice data to promote effective care and best-practice policy-a design thinking approach.

BACKGROUND: Health systems around the world have been forced to make choices about how to prioritize care, manage infection control and maintain reserve capacity for future disease outbreaks. Primary healthcare has moved into the front line as COVID-19 testing transitions from hospitals to multiple providers, where tracking testing behaviours can be fragmented and delayed. Pooled general practice data are a valuable resource which can be used to inform population and individual care decision-making. This project aims to examine the feasibility of using near real-time electronic general practice data to promote effective care and best-practice policy. METHODS: The project will utilize a design thinking approach involving all collaborators (primary health networks [PHNs], general practices, consumer groups, researchers, and digital health developers, pathology professionals) to enhance the development of meaningful and translational project outcomes. The project will be based on a series of observational studies utilizing near real-time electronic general practice data from a secure and comprehensive digital health platform [POpulation Level Analysis and Reporting (POLAR) general practice data warehouse]. The study will be carried out over 1.5 years (July 2020-December 2021) using data from over 450 general practices within three Victorian PHNs and Gippsland PHN, Eastern Melbourne PHN and South Eastern Melbourne PHN, supplemented by data from consenting general practices from two PHNs in New South Wales, Central and Eastern Sydney PHN and South Western Sydney PHN. DISCUSSION: The project will be developed using a design thinking approach, leading to the building of a meaningful near real-time COVID-19 geospatial reporting framework and dashboard for decision-makers at community, state and nationwide levels, to identify and monitor emerging trends and the impact of interventions/policy decisions. This will integrate timely evidence about the impact of the COVID-19 pandemic related to its diagnosis and treatment, and its impact across clinical, population and general practice levels.