Older inpatients are at risk of hospital-associated geriatric syndromes including delirium, functional decline, incontinence, falls and pressure injuries. These contribute to longer hospital stays, loss of independence, and death. Effective interventions to reduce geriatric syndromes remain poorly implemented due to their complexity, and require an organised approach to change care practices and systems. Eat Walk Engage is a complex multi-component intervention with structured implementation, which has shown reduced geriatric syndromes and length of stay in pilot studies at one hospital. This study will test effectiveness of implementing Eat Walk Engage using a multi-site cluster randomised trial to inform transferability of this intervention. A hybrid study design will evaluate the effectiveness and implementation strategy of Eat Walk Engage in a real-world setting. A multisite cluster randomised study will be conducted in 8 medical and surgical wards in 4 hospitals, with one ward in each site randomised to implement Eat Walk Engage (intervention) and one to continue usual care (control). Intervention wards will be supported to develop and implement locally tailored strategies to enhance early mobility, nutrition, and meaningful activities. Resources will include a trained, mentored facilitator, audit support, a trained healthcare assistant, and support by an expert facilitator team using the i-PARIHS implementation framework. Patient outcomes and process measures before and after intervention will be compared between intervention and control wards. Primary outcomes are any hospital-associated geriatric syndrome (delirium, functional decline, falls, pressure injuries, new incontinence) and length of stay. Secondary outcomes include discharge destination; 30-day mortality, function and quality of life; 6 month readmissions; and cost-effectiveness. Process measures including patient interviews, activity mapping and mealtime audits will inform interventions in each site and measure improvement progress. Factors influencing the trajectory of implementation success will be monitored on implementation wards. Using a hybrid design and guided by an explicit implementation framework, the CHERISH study will establish the effectiveness, cost-effectiveness and transferability of a successful pilot program for improving care of older inpatients, and identify features that support successful implementation. ACTRN12615000879561 registered prospectively 21/8/2015.

RRH: Rural and Remote Health. Published article number: 5983 - Women, clinician and IT staff perspectives on telehealth for enhanced gestational diabetes mellitus management in an Australian rural/regional setting

Background: Many people with advanced dementia live in residential aged care homes. Care home staff need the knowledge and skills to provide high-quality end-of-life (EOL) dementia care. However, several studies have found EOL dementia care to be suboptimal, and care staff have reported they would benefit from training in palliative care and dementia. Simulation offers an immersive learning environment and has been shown to improve learners’ knowledge and skills. However, there is little research on simulation training for residential care staff. This article presents the development and evaluation protocol of IMproving Palliative care Education and Training Using Simulation in Dementia (IMPETUS-D) - a screen-based simulation training program on palliative dementia care, targeted at residential care staff. IMPETUS-D aims to improve the quality of palliative care provided to people living with dementia in residential care homes, including avoiding unnecessary transfers to hospital. Methods: A cluster RCT will assess the effect of IMPETUS-D. Twenty-four care homes (clusters) in three Australian cities will be randomised to receive either the IMPETUS-D intervention or usual training opportunities (control). The primary outcome is to reduce transfers to hospital and deaths in hospital by 20% over 6-months in the intervention compared to the control group. Secondary outcomes include uptake of goals of care plans over 6 and 12 months, change in staff knowledge and attitudes towards palliative dementia care over 6 months, change in transfers to hospital and deaths in hospital over 12 months. For the primary analysis logistic regression models will be used with standard errors weighted by the cluster effects. A mixed methods process evaluation will be conducted alongside the cluster RCT to assess the mechanisms of impact, the implementation processes and contextual factors that may influence the delivery and effects of the intervention. Discussion: In Australia, the need for high-quality advanced dementia care delivered in residential aged care is growing. This study will assess the effect of IMPETUS-D a new simulation-based training program on dementia palliative and EOL care. This large multisite trial will provide robust evidence about the impact of the intervention. If successful, it will be distributed to the broader residential care sector. Trial registration: ANZCTR, ACTRN12618002012257. Registered 14 December 2018.

Physical inactivity in hospitalized older adults is highly prevalent and associated with detrimental health outcomes. Understanding its determinants is important for prognosis and tailoring interventions in geriatric rehabilitation inpatients. Within the REStORing health of acutely unwell adulTs (RESORT) observational, longitudinal cohort, geriatric rehabilitation inpatients wore an inertial sensor (ActivPAL4) for one week to objectively assess instrumented sedentary behavior (i-SB) and physical activity (i-PA). Determinants were grouped in five geriatric domains: morbidity, cognition/psychology, physical performance, functional performance, and nutritional status. Their association with i-SB (mean sitting, lying, non-upright time) and i-PA (mean number of steps, sit-to-stand transitions and upright time) quintiles were examined using multivariate ordinal logistic regression analyses with Bonferroni correction (p < 0.006). A total of 145 inpatients were included (mean age 83.0, SD 7.7 years; 55.9% females). More comorbidities were associated with a lower daily number of steps (OR:0.91, 95%CI: 0.86-0.96) and lower upright time (OR:0.93, 95%CI: 0.88-0.98). Depressive symptoms (higher Hospital Anxiety and Depression Scale score) were associated with higher non-upright time (OR: 1.12, 95%CI: 1.03-1.21) and lower upright time (OR: 0.89, 95%CI: 0.83-0.96). Better physical performance (higher Functional Ambulation Classification, gait speed, and Short Physical Performance Battery score) was associated with lower i-SB measures (OR range: 0.07-0.78, p < 0.0005) and higher i-PA measures (OR range: 1.35-19.50, p < 0.0005). Higher functional performance (Katz index of Activities of Daily Living score) was associated with lower i-SB measures (OR range: 0.61-0.69, p ≤ 0.003) and higher i-PA measures (OR range: 1.60-3.64, p < 0.0005). Being malnourished was associated with lower i-PA measures (OR range: 0.29-0.32, p ≤ 0.004). Worse morbidity, depressive symptoms, worse physical and functional performance, and worse nutritional status were associated with higher i-SB and lower i-PA. These determinants should be taken into account while designing and promoting multidisciplinary physical activity interventions.

A higher number of laboratory measurements is associated with mortality in patients admitted to hospital, but is not part of the frailty index based on laboratory tests (FILab). This study aimed to modify the FI-Lab (mFI-Lab) by accounting for the number of laboratory measurements and compare its validity to predict institutionalization and mortality at three-month post-discharge with the clinical frailty scale (CFS) in geriatric rehabilitation inpatients. In 1819 patients (median age 83.3 [77.6-88.3], 56.6% female), a higher FI-Lab was not associated with institutionalization but a higher risk of mortality. A higher mFI-Lab was associated with lower odds of institutionalization but a higher risk of mortality. A higher CFS was associated with institutionalization and higher mortality. The Akaike information criterion value was lowest for the CFS, followed by the mFI-Lab and the FI-Lab. The CFS is better than the mFI-Lab predicting short-term adverse outcomes in geriatric rehabilitation inpatients. When using laboratory data to estimate frailty, the mFI-Lab rather than the FI-Lab should be used.

Objective: The aim of this study was to investigate the psychometric properties of a multisource review survey tool for medical consultants in an Australian health care setting. Methods: Two sets of survey data from a convenience sample of medical consultants were analysed using SPSS, comprising self-assessment data from 73 consultants and data from 734 peer reviewers. The 20-question survey consisted of three subscales, plus an additional global question for reviewers. Analysis included the reliability coefficient (a) of the scale and the three subscales, inter-rater reliability or agreement and validity of the model, correlation between the single global question, the total performance score and the three survey subfactors (Pearson’s), interrater agreement (rWG(J)), the optimal number of peer reviewers required and model-based reliability (?). Results: The global question, total performance score and the three subfactors were strongly correlated (general scale r = 0.81, clinical subscale r = 0.78, humanistic subscale r =0.74, management subscale r = 0.75; two-tailed P < 0.01 for all). The scale showed very good internal consistency, except for the five-question management subscale. Model-based reliability was excellent (? = 0.93). Confirmatory factor analysis showed the model fit using the 20-item scale was not satisfactory (minimum discrepancy/d.f. = 7.70; root mean square error of approximation = 0.10; comparative fit index = 0.79; Tucker–Lewis index = 0.76). A modified 13-item model provided a good fit. Using the 20-item scale, a 99% level of agreement could be achieved with eight to 10 peer reviewers; for the same level of agreement, the number of reviewers increased to >10 using a revised 13-item scale. Conclusions: Overall, the 20-item multisource review survey tool showed good internal consistency reliability for both self and peer ratings; however, further investigation using a larger dataset is needed to analyse the robustness of the model and to clarify the role that a single global question may play in future multisource review processes. What is known about the topic?: Defining and measuring skills and behaviours that reflect competence in the health setting have proven to be complex, and this has resulted in the development of specific multisource feedback surveys for individual medical specialities. Because little literature exists on multisource reviews in an Australian context, a pilot study of a revised survey tool was undertaken at an Australian tertiary hospital. What does this paper add?: The aim of this study was to investigate the psychometric properties of a generic tool (used across specialities) by assessing the validity, reliability and interrater reliability of the scale and to consider the contribution of a single global question to the overall multisource feedback process. This study provides evidence of the validity and reliability of the survey tool under investigation. The strong correlation between the global item, the total performance score and the three subfactors suggests that this is an area requiring further investigation to determine the role that a robust single global question like this may play in future multisource review surveys. Our five-question management skills subscale provides answers to questions relevant to the specific organisation surveyed, and we anticipate that it may serve to stimulate further exploration in this area. What are the implications for practitioners?: The survey tool may provide a valid and reliable basis for performance review of medical consultants in an Australian healthcare setting.