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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 disseminate, Funding Agencies|American Council on Exercise, USA; Beijing Health System High Level Talents Training Project, China [2015-3-88]; Biomedical Research Foundation, Dhaka, Bangladesh [BRF-19-01]; Canadian Institutes of Health Research Frederick Banting and Charles Best Canada Graduate Scholarship (CGS-M)Canadian Institutes of Health Research (CIHR); Canadian Institutes of Health Research Planning and Dissemination GrantCanadian Institutes of Health Research (CIHR) [155265]; Civilian Research Development Foundation (CRDF) Global [OISE-20-66864-1]; Department of National Planning and Monitoring, PNG Government [02704]; Early Start, University of Wollongong, Australia; Faculty of Health Sciences at the University of the Witwatersrand, Johannesburg, South Africa; Fogarty International Center (FIC) of the National Institutes of Health [D43 TW010137]; Geran Universiti Penyelidikan (GUP), Universiti Kebangsaan Malaysia [GUP-2018-142]; Global Challenges Program, University of Wollongong, Australia [888/006/497]; Harry Crossley Foundation, South Africa; National Institute of Education-Ministry of Education, Singapore [OER 04/19 TWP]; Pham Ngoc Thach University of Medicine, Vietnam [1319/QD-TDHYKPNT]; Sasakawa Sports Research Grant, Sasakawa Sports Foundation, Japan [190A2-004]; Stella de Silva Research grant from Sri Lanka College of Paediatricians, Sri Lanka; The DST-NRF Centre for Excellence in Human Development at the University of Witwatersrand, Johannesburg, South Africa; International Society of Behavioral Nutrition and Physical Activity, Pioneers Program (ISBNPA-2021); The University Research Coordination Office of the De La Salle University, Philippines [29 IR S 3TAY192021]; Universidad de La Frontera Research Directorate, Chile [DI20-0093, DFP19-0012, DI20-1002]; WHO European Office for Prevention and Control of Noncommunicable Diseases

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.

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

The Centre for Health Service Development (CHSD), University of Wollongong was commissioned by the Independent Hospital Pricing Authority (IHPA) to develop Version 4 of the Australian National Subacute and Non‐acute Patient (AN‐SNAP) classification. This report outlines the objectives, approach and results of the study.

Small and regional hospitals have so far not been subject to activity based funding (ABF) in Australia. These hospitals are deemed unable to meet the technical requirements for ABF. In most cases they also experience diseconomies of scale due to the need to provide a broad range of low volume services to geographically large but sparsely populated areas. Block allocation remains the main system of funding for these hospitals. The disadvantage of block funding is that it lacks transparency and accountability regarding volume and type of services being funded. Furthermore it does not provide tools to measure and improve efficiency.

Admitted rehabilitation activity accounts for an increasing proportion of health care expenditure in Australia. This presentation describes the development of a tool to predict demand for rehabilitation care generated by acute inpatient episodes provided in Australian public sector facilities. Previous work by Dr Lynette Lee identified a set of "rehabilitation-sensitive AR-DRGs" , or AR-DRGs from which patients are more likely to require subsequent rehabilitation. In developing the predictive tool, this earlier work was extended, primarily by quantifying the degree of sensitivity and by incorporating the patient's age. The model uses variables, both clinical and demographic, found within routinely collected administrative data sets and could be used in routine service planning. Rehabilitation activity can be predicted as the number of episodes or the expected number of bed days. A strategy for "finding" additional bed days was proposed for situations where the prediction exceeds the current level of activity.

The Australian National Subacute and Non‐acute Patient Classification Version 4

Project aims and objectives - To develop a fully revised and contemporary version of the AN-SNAP classification suitable for implementing as a national sub-acute and non-acute ABF model - To ensure that the revised classification is acceptable across the sub-acute sector including States and Territories

DRGs A01Z-182Z

Appendices

Powerpoint presentation presented at the ANZCOS / AFRM Conference, Brisbane

Powerpoint presentation presented at the National Casemix and Activity-Based Funding Conference, Gold Coast

Treatment of ocular cancers using eye plaque brachytherapy is now an established medical procedure. However, current QA for these eye plaques is quite rudimentary, limiting the opportunities for precise pre-tumour plaque customisation. This paper proposes and experimentally validates a new technique for imaging of eye plaque dose distributions using a high-resolution pixelated silicon detector. Results are presented demonstrating the 2D and 3D isodose surfaces produced using experimental data collected using this method.

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, 1.181.27) 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.

This paper presents the results of a recent review of the Australian National Sub-acute and Non-acute Patient (AN-SNAP) classification system. The AN-SNAP system was developed by the Centre for Health Service Development, University of Wollongong in 1997. The review was conducted between August 2005 and September 2006. Four clinical sub-committees comprising more than 50 clinicians from sub-acute services across New South Wales as well as representatives from Queensland and the Australian Capital Territory were established to develop a set of proposals to be considered for incorporation into Version 2 of the classification. It is proposed that the final AN-SNAP Version 2 classification will be available for implementation from 1 July 2007.