Cross-sectional examination of 24-hour movement behaviours among 3- and 4-year-old children in urban and rural settings in low-income, middle-income and high-income countries: the SUNRISE study protocol.

INTRODUCTION: 24-hour movement behaviours (physical activity, sedentary behaviour and sleep) during the early years are associated with health and developmental outcomes, prompting the WHO to develop Global guidelines for physical activity, sedentary behaviour and sleep for children under 5 years of age. Prevalence data on 24-hour movement behaviours is lacking, particularly in low-income and middle-income countries (LMICs). This paper describes the development of the SUNRISE International Study of Movement Behaviours in the Early Years protocol, designed to address this gap. METHODS AND ANALYSIS: SUNRISE is the first international cross-sectional study that aims to determine the proportion of 3- and 4-year-old children who meet the WHO Global guidelines. The study will assess if proportions differ by gender, urban/rural location and/or socioeconomic status. Executive function, motor skills and adiposity will be assessed and potential correlates of 24-hour movement behaviours examined. Pilot research from 24 countries (14 LMICs) informed the study design and protocol. Data are collected locally by research staff from partnering institutions who are trained throughout the research process. Piloting of all measures to determine protocol acceptability and feasibility was interrupted by COVID-19 but is nearing completion. At the time of publication 41 countries are participating in the SUNRISE study. ETHICS AND DISSEMINATION: The SUNRISE protocol has received ethics approved from the University of Wollongong, Australia, and in each country by the applicable ethics committees. Approval is also sought from any relevant government departments or organisations. The results will inform global efforts to prevent childhood obesity and ensure young children reach their health and developmental potential. Findings on the correlates of movement behaviours can guide future interventions to improve the movement behaviours in culturally specific ways. Study findings will be disseminated via publications, conference presentations and may contribute to the development of local guidelines and public health interventions.

Planning for subacute care: predicting demand using acute activity data.

Objective The aim of the present study was to develop a robust model that uses the concept of 'rehabilitation-sensitive' Diagnosis Related Groups (DRGs) in predicting demand for rehabilitation and geriatric evaluation and management (GEM) care following acute in-patient episodes provided in Australian hospitals. Methods The model was developed using statistical analyses of national datasets, informed by a panel of expert clinicians and jurisdictional advice. Logistic regression analysis was undertaken using acute in-patient data, published national hospital statistics and data from the Australasian Rehabilitation Outcomes Centre. Results The predictive model comprises tables of probabilities that patients will require rehabilitation or GEM care after an acute episode, with columns defined by age group and rows defined by grouped Australian Refined (AR)-DRGs. Conclusions The existing concept of rehabilitation-sensitive DRGs was revised and extended. When applied to national data, the model provided a conservative estimate of 83% of the activity actually provided. An example demonstrates the application of the model for service planning. What is known about the topic? Health service planning is core business for jurisdictions and local areas. With populations ageing and an acknowledgement of the underservicing of subacute care, it is timely to find improved methods of estimating demand for this type of care. Traditionally, age-sex standardised utilisation rates for individual DRGs have been applied to Australian Bureau of Statistics (ABS) population projections to predict the future need for subacute services. Improved predictions became possible when some AR-DRGs were designated 'rehabilitation-sensitive'. This improved methodology has been used in several Australian jurisdictions. What does this paper add? This paper presents a new tool, or model, to predict demand for rehabilitation and GEM services based on in-patient acute activity. In this model, the methodology based on rehabilitation-sensitive AR-DRGs has been extended by updating them to AR-DRG Version 7.0, quantifying the level of 'sensitivity' and incorporating the patient's age to improve the prediction of demand for subacute services. What are the implications for practitioners? The predictive model takes the form of tables of probabilities that patients will require rehabilitation or GEM care after an acute episode and can be applied to acute in-patient administrative datasets in any Australian jurisdiction or local area. The use of patient-level characteristics will enable service planners to improve their forecasting of demand for these services. Clinicians and jurisdictional representatives consulted during the project regarded the model favourably and believed that it was an improvement on currently available methods.

The health of people in Australian immigration detention centres.

OBJECTIVE: To determine the health status of people in Australian immigration detention centres and the effect of time in, and reason for, detention. DESIGN, SETTING AND SUBJECTS: An analysis of the health records of 720 of the 7375 people in detention in the financial year 1 July 2005-30 June 2006, with oversampling of those detained for > 3 months. MAIN OUTCOME MEASURES: Health encounters and health condition categories; estimated incidence rates of new health conditions, new mental health conditions, and new injuries for each cohort (defined by time in, and reason for, detention). RESULTS: People in detention had an estimated 1.2 (95% CI, 1.18-1.27) health encounters per person-week. Those detained for > 24 months had particularly poor health, both mental and physical. Asylum seekers had more health problems than other people in detention. The main health problems varied depending on the length of time in detention, but included dental, mental health, and musculoskeletal problems, and lacerations. Both time in, and reason for, detention were significantly related to the rate of new mental health problems (P = 0.018 and P < 0.001, respectively). The relationship between these variables and the incidence rates of physical health problems was more complex. CONCLUSION: People in immigration detention are frequent users of health services, and there is a clear association between time in detention and rates of mental illness. Government policies internationally should be informed by evidence from studies of the health of this marginalised and often traumatised group.

Urinary incontinence in subacute care--a retrospective analysis of clinical outcomes and costs.

OBJECTIVE: To investigate the effect of incontinence on clinical outcomes and costs for patients in subacute care. DESIGN: Retrospective analysis of data collected over a 3-month period in 1996. SETTING: 54 medical facilities in Australia and New Zealand providing subacute care in an inpatient setting. PATIENTS: 6773 episodes of care provided to 6455 rehabilitation and geriatric evaluation and management patients. MAIN OUTCOME MEASURES: Urinary continence status, treatment outcomes, length of stay, discharge destination, and nursing and allied healthcare costs. RESULTS: Discharge destination differed between incontinent and continent patients (57% compared with 82%, respectively, discharged home, and 29% compared with 12%, respectively, discharged to a nursing home or to further care). There was a difference in cost between patients who were continent and those who were incontinent throughout their episode of care (rehabilitation: $185.60 [95% CI, $181-$190] per day for incontinent and $156.82 [95% CI, $153-$160] for continent patients; and geriatric evaluation and management: $164.62 [95% CI, $157-$172] for incontinent and $121.40 [95% CI, $114-$129] for continent patients). However, multilevel analyses showed that, after allowing for age and level of functional independence, the contribution of continence status to the cost of care depended on the functional independence of the patient (cognitive function for orthopaedic patients [P < 0.01] and motor function for stroke patients [P = 0.04]). CONCLUSION: The relationship between continence status and cost of care is complex. However, the cost differences found in our study need to be considered in payment systems, allocation of staff levels on wards and in development of casemix classifications.