Cost-utility analysis of adjunct repetitive transcranial magnetic stimulation for treatment resistant bipolar depression.

OBJECTIVE: To evaluate the cost-effectiveness of repetitive transcranial magnetic stimulation (rTMS) as an adjunct to standard care from an Australian health sector perspective, compared to standard care alone for adults with treatment-resistant bipolar depression (TRBD). METHODS: An economic model was developed to estimate the cost per disability-adjusted life-year (DALY) averted and quality-adjusted life-year (QALY) gained for rTMS added to standard care compared to standard care alone, for adults with TRBD. The model simulated the time in three health states (mania, depression, residual) over one year. Response to rTMS was sourced from a meta-analysis, converted to a relative risk and used to modify the time in the depressed state. Uncertainty and sensitivity tested the robustness of results. RESULTS: Base-case incremental cost-effectiveness ratios (ICERs) were $72,299 per DALY averted (95 % Uncertainty Interval (UI): $60,915 to $86,668) and $46,623 per QALY gained (95 % UI: $39,676 - $55,161). At a willingness to pay (WTP) threshold of $96,000 per DALY averted, the base-case had a 100 % probability of being marginally cost-effective. At a WTP threshold of $64,000 per QALY gained, the base-case had a 100 % probability of being cost-effective. Sensitivity analyses decreasing the number of sessions provided, increasing the disability weight or the time spent in the depression state for standard care improved the ICERs for rTMS. CONCLUSIONS: Dependent on the outcome measure utilised and assumptions, rTMS would be considered a very cost-effective or marginally cost-effective adjunct to standard care for TRBD compared to standard care alone.

How healthy and affordable are foods and beverages sold in school canteens? A cross-sectional study comparing menus from Victorian primary schools.

OBJECTIVE: Government policy guidance in Victoria, Australia, encourages schools to provide affordable, healthy foods in canteens. This study analysed the healthiness and price of items available in canteens in Victorian primary schools and associations with school characteristics. DESIGN: Dietitians classified menu items (main, snack and beverage) using the red, amber and green traffic light system defined in the Victorian government's School Canteens and Other School Food Services Policy. This system also included a black category for confectionary and high sugar content soft drinks which should not be supplied. Descriptive statistics and regressions were used to analyse differences in the healthiness and price of main meals, snacks and beverages offered, according to school remoteness, sector (government and Catholic/independent) size, and socio-economic position. SETTING: State of Victoria, Australia. PARTICIPANTS: A convenience sample of canteen menus drawn from three previous obesity prevention studies in forty-eight primary schools between 2016 and 2019. RESULTS: On average, school canteen menus were 21 % 'green' (most healthy - everyday), 53 % 'amber' (select carefully), 25 % 'red' (occasional) and 2 % 'black' (banned) items, demonstrating low adherence with government guidelines. 'Black' items were more common in schools in regional population centres. 'Red' main meal items were cheaper than 'green'% (mean difference -$0·48 (95 % CI -0·85, -0·10)) and 'amber' -$0·91 (-1·27, -0·57)) main meal items. In about 50 % of schools, the mean price of 'red' main meal, beverages and snack items were cheaper than 'green' items, or no 'green' alternative items were offered. CONCLUSION: In this sample of Victorian canteen menus, there was no evidence of associations of healthiness and pricing by school characteristics except for regional centres having the highest proportion of 'black' (banned) items compared with all other remoteness categories examined. There was low adherence with state canteen menu guidelines. Many schools offered a high proportion of 'red' food options and 'black' (banned) options, particularly in regional centres. Unhealthier options were cheaper than healthy options. More needs to be done to bring Victorian primary school canteen menus in line with guidelines.

Burdens of non-communicable disease attributable to metabolic risk factors in Australia, 1990-2019: joinpoint regression analysis of the Global Burden of Disease Study.

BACKGROUND: Long-term and comparative assessments of trends in non-communicable disease (NCD) burden attributable to metabolic risk are sparse. This study aimed to assess burdens and trends of NCD attributable to metabolic risk factors in Australia, 1990-2019. DESIGN: Population-based observational study. SETTINGS AND DATA SOURCE: Data were extracted from the Global Burden of Disease Study 2019 for Australia and trends in NCD burden attributable metabolic risks were estimated using the joinpoint regression model. MAIN OUTCOME MEASURES: NCD deaths and disability-adjusted life-years (DALYs) attributed to metabolic risk factors, 1990-2019. RESULTS: Results indicate a 1.1% yearly increase in exposure to combined metabolic risk factors from 1990 to 2019. Between 1990 and 2019, the estimated absolute number of deaths from NCDs attributed to combined metabolic risks increased by 17.0%. However, metabolic risk-related NCD burdens in Australia decreased between 1990 and 2019. In 2019, 34.0% of NCD deaths and 20.0% of NCD DALYs were attributed to metabolic risk factors, compared with 42.9% and 24.4%, respectively, in 1990. In 2019, cardiovascular diseases (CVDs), neoplasms and chronic kidney diseases were the most common NCD deaths attributed to metabolic risks. High body mass index accounted for the highest proportion of diabetes deaths (47.0%) and DALYs (58.1%) as well as chronic kidney disease deaths (35.4%) and DALYs (39.7%). Similarly, high systolic blood pressure contributed to a high proportion of chronic kidney disease deaths (60.9%) and DALYs (53.2%), and CVDs deaths (44.0%) and DALYs (46.0%). CONCLUSION: While the contribution of metabolic risk factors to the burden of NCDs has declined from 1990 to 2019, their role in NCD death and disability remains a challenge as the prevalence of these risk factors has increased. Prevention strategies should focus on metabolic risks particularly high body mass index and high systolic blood pressure to substantially reduce NCD burdens.

A systematic review of economic evidence for community-based obesity prevention interventions in children.

Multicomponent community-based obesity prevention interventions that engage multiple sectors have shown promise in preventing obesity in childhood; however, economic evaluations of such interventions are limited. This systematic review explores the methods used and summarizes current evidence of costs and cost-effectiveness of complex obesity prevention interventions. A systematic search was conducted using 12 academic databases and grey literature from 2006 to April 2022. Studies were included if they reported methods of costing and/or economic evaluation of multicomponent, multisectoral, and community-wide obesity prevention interventions. Results were reported narratively based on the Consolidated Health Economic Evaluation Reporting Standards. Seventeen studies were included, reporting costing or economic evaluation of 13 different interventions. Five interventions reported full economic evaluations, five interventions reported economic evaluation protocols, two interventions reported cost analysis, and one intervention reported a costing protocol. Five studies conducted cost-utility analysis, three of which were cost-effective. One study reported a cost-saving return-on-investment ratio. The economic evidence for complex obesity prevention interventions is limited and therefore inconclusive. Challenges include accurate tracking of costs for interventions with multiple actors, and the limited incorporation of broader benefits into economic evaluation. Further methodological development is needed to find appropriate pragmatic methods to evaluate complex obesity prevention interventions.

Reflexive Evidence and Systems interventions to Prevention Obesity and Non-communicable Disease (RESPOND): protocol and baseline outcomes for a stepped-wedge cluster-randomised prevention trial.

INTRODUCTION: Systems science methodologies have been used in attempts to address the complex and dynamic causes of childhood obesity with varied results. This paper presents a protocol for the Reflexive Evidence and Systems interventions to Prevention Obesity and Non-communicable Disease (RESPOND) trial. RESPOND represents a significant advance on previous approaches by identifying and operationalising a clear systems methodology and building skills and knowledge in the design and implementation of this approach among community stakeholders. METHODS AND ANALYSIS: RESPOND is a 4-year cluster-randomised stepped-wedge trial in 10 local government areas in Victoria, Australia. The intervention comprises four stages: catalyse and set up, monitoring, community engagement and implementation. The trial will be evaluated for individuals, community settings and context, cost-effectiveness, and systems and implementation processes. Individual-level data including weight status, diet and activity behaviours will be collected every 2 years from school children in grades 2, 4 and 6 using an opt-out consent process. Community-level data will include knowledge and engagement, collaboration networks, economic costs and shifts in mental models aligned with systems training. Baseline prevalence data were collected between March and June 2019 among >3700 children from 91 primary schools. ETHICS AND DISSEMINATION: Ethics approval: Deakin University Human Research Ethics Committee (HREC 2018-381) or Deakin University's Faculty of Health Ethics Advisory Committee (HEAG-H_2019-1; HEAG-H 37_2019; HEAG-H 173_2018; HEAG-H 12_2019); Victorian Government Department of Education and Training (2019_003943); Catholic Archdiocese of Melbourne (Catholic Education Melbourne, 2019-0872) and Diocese of Sandhurst (24 May 2019). The results of RESPOND, including primary and secondary outcomes, and emerging studies developed throughout the intervention, will be published in the academic literature, presented at national and international conferences, community newsletters, newspapers, infographics and relevant social media. TRIAL REGISTRATION NUMBER: ACTRN12618001986268p.

The impact of coalition characteristics on outcomes in community-based initiatives targeting the social determinants of health: a systematic review.

BACKGROUND: Coalitions are a popular mechanism for delivering community-based health promotion. The aim of this systematic review was to synthesize research that has quantitatively analyzed the association between coalition characteristics and outcomes in community-based initiatives targeting the social determinants of health. Coalition characteristics described elements of their structure or functioning, and outcomes referred to both proximal and distal community changes. METHODS: Authors searched six electronic databases to identify peer reviewed, published studies that analyzed the relationship between coalition characteristics and outcomes in community-based initiatives between 1980 and 2021. Studies were included if they were published in English and quantitatively analyzed the link between coalition characteristics and outcomes. Included studies were assessed for quality using the Joanna Briggs Institute analytical cross-sectional studies assessment tool. RESULTS: The search returned 10,030 unique records. After screening, 26 studies were included from six countries. Initiatives targeted drug use, health equity, nutrition, physical activity, child and youth development, crime, domestic violence, and neighbourhood improvement. Community outcomes measured included perceived effectiveness (n=10), policy, systems or environment change (n=9), and community readiness or capacity (n=7). Analyses included regression or correlation analysis (n=16) and structural equation or pathway modelling (n=10). Studies varied in quality, with a lack of data collection tool validation presenting the most prominent limitation to study quality. Statistically significant associations were noted between community outcomes and wide range of coalition characteristics, including community context, resourcing, coalition structure, member characteristics, engagement, satisfaction, group facilitation, communication, group dynamics, relationships, community partnership, and health promotion planning and implementation. CONCLUSION: Existing literature demonstrates that coalition characteristics, including best practice health promotion planning and evaluation, influence community outcomes. The field of coalition research would benefit from more consistent description and measurement of coalition characteristics and outcomes, and efforts to evaluate coalitions in a wider range of countries around the world. Further research using empirical community outcome indicators, and methods that consider the interrelationship of variables, is warranted. TRIAL REGISTRATION: A protocol for this review was registered with PROSPERO ( CRD42020205988 ).

Cost-effectiveness of scaling up a whole-of-community intervention: The Romp & Chomp early childhood obesity prevention intervention.

BACKGROUND: Given the high prevalence of early childhood overweight and obesity, more evidence is required to better understand the cost-effectiveness of community-wide interventions targeting obesity prevention in children aged 0-5 years. OBJECTIVES: To assess the cost-effectiveness of the Romp & Chomp community-wide early childhood obesity prevention intervention if delivered across Australia in 2018 from a funder perspective, against a no-intervention comparator. METHODS: Intervention costs were estimated in 2018 Australian dollars. The annual Early Prevention of Obesity in Childhood micro-simulation model estimated body mass index (BMI) trajectories to age 15 years, based on end of trial data at age 3.5 years. Results from modelled cost-effectiveness analyses were presented as incremental cost-effectiveness ratios (ICERs): cost per BMI unit avoided, and cost per quality-adjusted life year (QALY) gained at age 15 years. RESULTS: All Australian children aged 0-5 years (n = 1 906 075) would receive the intervention. Total estimated intervention cost and annual cost per participant were AUD178 million and AUD93, respectively, if implemented nationally. The ICERs were AUD1 126 per BMI unit avoided and AUD26 399 per QALY gained (64% probability of being cost-effective measured against a AUD50 000 per QALY threshold). CONCLUSIONS: Romp & Chomp has a fair probability of being cost-effective if delivered at scale.

The impact of a community-based intervention on weight, weight-related behaviours and health-related quality of life in primary school children in Victoria, Australia, according to socio-economic position.

BACKGROUND: Approximately a quarter of Australian children are classified as overweight or obese. In high-income countries, childhood obesity follows a socio-economic gradient, with greater prevalence amongst the most socio-economically disadvantaged children. Community-based interventions (CBI), particularly those using a systems approach, have been shown to be effective on weight and weight-related behaviours. They are also thought to have an equitable impacts, however there is limited evidence of their effectiveness in achieving this goal. METHODS: Secondary analysis was conducted on data collected from primary school children (aged 6-13 years) residing in ten communities (five intervention, five control) involved in the Whole of Systems Trial of Prevention Strategies for Childhood Obesity (WHO STOPS) cluster randomised trial in Victoria, Australia. Outcomes included Body Mass Index z-score (BMI-z) derived from measured height and weight, self-reported physical activity and dietary behaviours and health related quality of life (HRQoL). Repeat cross-sectional data from 2015 (n = 1790) and 2019 (n = 2137) were analysed, stratified by high or low socio-economic position (SEP). Multilevel linear models and generalised estimating equations were fitted to assess whether SEP modified the intervention effect on the outcomes. RESULTS: There were no overall changes in BMI-z for either SEP strata. For behavioural outcomes, the intervention resulted in a 22.5% (95% CI 5.1, 39.9) point greater improvement in high-SEP compared to low-SEP intervention schools for meeting physical activity guidelines. There were also positive dietary intervention effects for high SEP students, reducing takeaway and packaged snack consumption, although there was no significant difference in effect between high and low SEP students. There were positive intervention effects for HRQoL, whereby scores declined in control communities with no change in intervention communities, and this did not differ by SEP. CONCLUSION: The WHO STOPS intervention had differential effects on several weight-related behaviours according to SEP, including physical activity. Similar impacts on HRQoL outcomes were found between high and low SEP groups. Importantly, the trial evaluation was not powered to detect subgroup differences. Future evaluations of CBIs should be designed with an equity lens, to understand if and how these types of interventions can benefit all community members, regardless of their social and economic resources.

Inequalities in early childhood body-mass index Z scores in Victoria, Australia: a 15-year observational study.

BACKGROUND: Early childhood overweight and obesity increased substantially in high-income countries throughout the 1980s and 1990s. The flattening or reversal of this trend since the early 2000s might conceal widening inequalities. This study aimed to identify trends in body-mass index Z score (BMIz) among children aged 1-3·5 years in Victoria (Australia), by socioeconomic status and geographical location. METHODS: This repeated, cross-sectional study used deidentified records of height, weight, and demographic information from electronic databases in the Victorian Maternal and Child Health system. Data from the consultations for children aged 1, 2, and 3·5 years were included in this analysis. We removed duplicate records; records with missing data for sex, age, weight, height, or postcode; and records with postcodes that were outside of Victoria. The coprimary outcomes were trends in mean BMIz (continuous linear models) and prevalence of high BMIz (>+1; generalised linear models), estimated for six independent age-sex groups. Secondary analysis was done for the prevalence of BMIz greater than 2. Effect modification by socioeconomic status and remoteness was evaluated. FINDINGS: Electronic data were available for 48 local government areas collected between Jan 1, 2003, and Dec 31, 2017, representing approximately 63% of the Victorian population. Overall, 1 329 520 measurements from 675 991 children were included in the analysis. There were small, significantly decreasing trends in mean BMIz across all six age-sex groups, overall and in major cities. Similar patterns were observed for some subgroups in prevalence of high BMIz. These decreasing trends appear to be partly explained by migration. Conversely, in regional areas the trends in BMIz were consistently increasing in all age-sex groups and across socioeconomic strata, although not all groups were statistically significant. Inequalities in BMIz according to socioeconomic status persisted throughout the study period, such that the children from more advantaged areas had lower mean BMIz. INTERPRETATION: This study showed that at a state level, mean BMIz and prevalence of high BMIz decreased in children aged 1, 2, and 3·5 years in Victoria between 2003 and 2017. We found metropolitan-regional differences to be key source of inequality in early childhood BMIz trends, alongside area-level socioeconomic status. These findings highlight the risk that analysis of overall trends in childhood BMIz might obscure important inequalities according to, for example, remoteness, socioeconomic status, and ethnicity. Future research requires monitoring data with large population samples to adequately examine differences in prevalence and trends between population subgroups. FUNDING: None.

Socio-economic and Regional Differences in Walkability and Greenspace Around Primary Schools: A Census of Australian Primary School Neighbourhoods.

Socio-economic inequality in the physical activity environment surrounding primary schools may contribute to socio-economic gradients in physical activity and childhood obesity levels. Using a cross-sectional study design, ordinary least squares and logistic regressions were fitted to assess variation in walkability and greenspace within 1 km of primary schools (n = 7133) according to area-level socio-economic position (SEP) and remoteness. Effect modification by school location (major cities or regional/remote) was assessed through stratified analyses. Walkability scores significantly increased from low to high school neighbourhood SEP (p < 0.01) and from remote/very remote to major city locations (p < 0.01). Greenspace area (hectares) in the school neighbourhood was greater in highest compared to lowest SEP areas (ß = 18.75, 95%CI 6.63, 30.87) and less in major cities compared to remote/very remote locations (ß = - 23.9, 95%CI - 39.7, - 8.1). Schools in highest SEP areas and major cities had higher odds of having any greenspace in their neighbourhood, compared to those in lowest SEP and remote/very remote locations (OR 5.93, (95% CI 4.50, 7.05), OR 20.19, (95% CI 16.05, 25.39) respectively). Stratified results (major cities or regional/remote locations) found the highest SEP school neighbourhoods had higher walkability scores and more greenspace compared to lowest SEP school neighbourhoods in both strata, although overall SEP gradient in walkability and greenspace area only remained in major cities. Walkability and greenspace infrastructure in the school neighbourhood could be improved in areas of lower SEP so that all school children have the opportunity for physical activity.

Beyond the black stump: rapid reviews of health research issues affecting regional, rural and remote Australia.

CHAPTER 1: RETAIL INITIATIVES TO IMPROVE THE HEALTHINESS OF FOOD ENVIRONMENTS IN RURAL, REGIONAL AND REMOTE COMMUNITIES: Objective: To synthesise the evidence for effectiveness of initiatives aimed at improving food retail environments and consumer dietary behaviour in rural, regional and remote populations in Australia and comparable countries, and to discuss the implications for future food environment initiatives for rural, regional and remote areas of Australia. STUDY DESIGN: Rapid review of articles published between January 2000 and May 2020. DATA SOURCES: We searched MEDLINE (EBSCOhost), Health and Society Database (Informit) and Rural and Remote Health Database (Informit), and included studies undertaken in rural food environment settings in Australia and other countries. DATA SYNTHESIS: Twenty-one articles met the inclusion criteria, including five conducted in Australia. Four of the Australian studies were conducted in very remote populations and in grocery stores, and one was conducted in regional Australia. All of the overseas studies were conducted in rural North America. All of them revealed a positive influence on food environment or consumer behaviour, and all were conducted in disadvantaged, rural communities. Positive outcomes were consistently revealed by studies of initiatives that focused on promotion and awareness of healthy foods and included co-design to generate community ownership and branding. CONCLUSION: Initiatives aimed at improving rural food retail environments were effective and, when implemented in different rural settings, may encourage improvements in population diets. The paucity of studies over the past 20 years in Australia shows a need for more research into effective food retail environment initiatives, modelled on examples from overseas, with studies needed across all levels of remoteness in Australia. Several retail initiatives that were undertaken in rural North America could be replicated in rural Australia and could underpin future research. CHAPTER 2: WHICH INTERVENTIONS BEST SUPPORT THE HEALTH AND WELLBEING NEEDS OF RURAL POPULATIONS EXPERIENCING NATURAL DISASTERS?: Objective: To explore and evaluate health and social care interventions delivered to rural and remote communities experiencing natural disasters in Australia and other high income countries. STUDY DESIGN: We used systematic rapid review methods. First we identified a test set of citations and generated a frequency table of Medical Subject Headings (MeSH) to index articles. Then we used combinations of MeSH terms and keywords to search the MEDLINE (Ovid) database, and screened the titles and abstracts of the retrieved references. DATA SOURCES: We identified 1438 articles via database searches, and a further 62 articles via hand searching of key journals and reference lists. We also found four relevant grey literature resources. After removing duplicates and undertaking two stages of screening, we included 28 studies in a synthesis of qualitative evidence. DATA SYNTHESIS: Four of us read and assessed the full text articles. We then conducted a thematic analysis using the three phases of the natural disaster response cycle. CONCLUSION: There is a lack of robust evaluation of programs and interventions supporting the health and wellbeing of people in rural communities affected by natural disasters. To address the cumulative and long term impacts, evidence suggests that continuous support of people's health and wellbeing is needed. By using a lens of rural adversity, the complexity of the lived experience of natural disasters by rural residents can be better understood and can inform development of new models of community-based and integrated care services. CHAPTER 3: THE IMPACT OF BUSHFIRE ON THE WELLBEING OF CHILDREN LIVING IN RURAL AND REMOTE AUSTRALIA: Objective: To investigate the impact of bushfire events on the wellbeing of children living in rural and remote Australia. STUDY DESIGN: Literature review completed using rapid realist review methods, and taking into consideration the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement for systematic reviews. DATA SOURCES: We sourced data from six databases: EBSCOhost (Education), EBSCOhost (Health), EBSCOhost (Psychology), Informit, MEDLINE and PsycINFO. We developed search terms to identify articles that could address the research question based on the inclusion criteria of peer reviewed full text journal articles published in English between 1983 and 2020. We initially identified 60 studies and, following closer review, extracted data from eight studies that met the inclusion criteria. DATA SYNTHESIS: Children exposed to bushfires may be at increased risk of poorer wellbeing outcomes. Findings suggest that the impact of bushfire exposure may not be apparent in the short term but may become more pronounced later in life. Children particularly at risk are those from more vulnerable backgrounds who may have compounding factors that limit their ability to overcome bushfire trauma. CONCLUSION: We identified the short, medium and long term impacts of bushfire exposure on the wellbeing of children in Australia. We did not identify any evidence-based interventions for supporting outcomes for this population. Given the likely increase in bushfire events in Australia, research into effective interventions should be a priority. CHAPTER 4: THE ROLE OF NATIONAL POLICIES TO ADDRESS RURAL ALLIED HEALTH, NURSING AND DENTISTRY WORKFORCE MALDISTRIBUTION: Objective: Maldistribution of the health workforce between rural, remote and metropolitan communities contributes to longstanding health inequalities. Many developed countries have implemented policies to encourage health care professionals to work in rural and remote communities. This scoping review is an international synthesis of those policies, examining their effectiveness at recruiting and retaining nursing, dental and allied health professionals in rural communities. STUDY DESIGN: Using scoping review methods, we included primary research - published between 1 September 2009 and 30 June 2020 - that reported an evaluation of existing policy initiatives to address workforce maldistribution in high income countries with a land mass greater than 100 000 km2 . DATA SOURCES: We searched MEDLINE, Ovid Embase, Ovid Emcare, Informit, Scopus, and Web of Science. We screened 5169 articles for inclusion by title and abstract, of which we included 297 for full text screening. We then extracted data on 51 studies that had been conducted in Australia, the United States, Canada, United Kingdom and Norway. DATA SYNTHESIS: We grouped the studies based on World Health Organization recommendations on recruitment and retention of health care workers: education strategies (n = 27), regulatory change (n = 11), financial incentives (n = 6), personal and professional support (n = 4), and approaches with multiple components (n = 3). CONCLUSION: Considerable work has occurred to address workforce maldistribution at a local level, underpinned by good practice guidelines, but rarely at scale or with explicit links to coherent overarching policy. To achieve policy aspirations, multiple synergistic evidence-based initiatives are needed, and implementation must be accompanied by well designed longitudinal evaluations that assess the effectiveness of policy objectives. CHAPTER 5: AVAILABILITY AND CHARACTERISTICS OF PUBLICLY AVAILABLE HEALTH WORKFORCE DATA SOURCES IN AUSTRALIA: Objective: Many data sources are used in Australia to inform health workforce planning, but their characteristics in terms of relevance, accessibility and accuracy are uncertain. We aimed to identify and appraise publicly available data sources used to describe the Australian health workforce. STUDY DESIGN: We conducted a scoping review in which we searched bibliographic databases, websites and grey literature. Two reviewers independently undertook title and abstract screening and full text screening using Covidence software. We then assessed the relevance, accessibility and accuracy of data sources using a customised appraisal tool. DATA SOURCES: We searched for potential workforce data sources in nine databases (MEDLINE, Embase, Ovid Emcare, Scopus, Web of Science, Informit, the JBI Evidence-based Practice Database, PsycINFO and the Cochrane Library) and the grey literature, and examined several pre-defined websites. DATA SYNTHESIS: During the screening process we identified 6955 abstracts and examined 48 websites, from which we identified 12 publicly available data sources - eight primary and four secondary data sources. The primary data sources were generally of modest quality, with low scores in terms of reference period, accessibility and missing data. No single primary data source scored well across all domains of the appraisal tool. CONCLUSION: We identified several limitations of data sources used to describe the Australian health workforce. Establishment of a high quality, longitudinal, linked database that can inform all aspects of health workforce development is urgently needed, particularly for rural health workforce and services planning. CHAPTER 6: RAPID REALIST REVIEW OF OPIOID TAPERING IN THE CONTEXT OF LONG TERM OPIOID USE FOR NON-CANCER PAIN IN RURAL AREAS: Objective: To describe interventions, barriers and enablers associated with opioid tapering for patients with chronic non-cancer pain in rural primary care settings. STUDY DESIGN: Rapid realist review registered on the international register of systematic reviews (PROSPERO) and conducted in accordance with RAMESES standards. DATA SOURCES: English language, peer-reviewed articles reporting qualitative, quantitative and mixed method studies, published between January 2016 and July 2020, and accessed via MEDLINE, Embase, CINAHL Complete, PsycINFO, Informit or the Cochrane Library during June and July 2020. Grey literature relating to prescribing,deprescribing or tapering of opioids in chronic non-cancer pain, published between January 2016 and July 2020, was identified by searching national and international government, health service and peek organisation websites using Google Scholar. DATA SYNTHESIS: Our analysis of reported approaches to tapering conducted across rural and non-rural contexts showed that tapering opioids is complex and challenging, and identified several barriers and enablers. Successful outcomes in rural areas appear likely through therapeutic relationships, coordination and support, by using modalities and models of care that are appropriate in rural settings and by paying attention to harm minimisation. CONCLUSION: Rural primary care providers do not have access to resources available in metropolitan centres for dealing with patients who have chronic non-cancer pain and are taking opioid medications. They often operate alone or in small group practices, without peer support and access to multidisciplinary and specialist teams. Opioid tapering approaches described in the literature include regulation, multimodal and multidisciplinary approaches, primary care provider support, guidelines, and patient-centred strategies. There is little research to inform tapering in rural contexts. Our review provides a synthesis of the current evidence in the form of a conceptual model. This preliminary model could inform the development of a model of care for use in implementation research, which could test a variety of mechanisms for supporting decision making, reducing primary care providers' concerns about potential harms arising from opioid tapering, and improving patient outcomes.

Responsibility for evidence-based policy in cardiovascular disease in rural communities: implications for persistent rural health inequalities.

Objective The aim of this study was to understand, from the perspective of policy makers, who holds the responsibility for driving evidence-based policy to reduce the high burden of cardiovascular disease (CVD) in rural Australia. Methods Qualitative interviews were conducted with policy makers at the local, state and federal government levels in Australia (n=21). Analysis was conducted using the Conceptual Framework for Understanding Rural and Remote Health to understand perceptions of policy makers around who holds the key responsibility in driving evidence-based policy. Results At all levels of government, there were multiple examples of disconnect in the understanding of who is responsible for driving the generation of evidence-based policy to reduce CVD in rural areas. Policy makers suggested that the rural communities themselves, health services, health professionals, researchers and the health sector as a whole hold large responsibilities in driving evidence-based policy to address CVD in rural areas. Within government, there was also a noticeable disconnect, with local participants feeling it was the federal government that held this responsibility; however, federal government participants suggested this was largely a local government issue. Overall, there seemed to be a lack of responsibility for CVD policy, which is reflected in a lack of action in rural areas. Conclusion There was a lack of clarity about who is responsible for driving evidence-based policy generation to address the high burden of CVD in Australia, providing one possible explanation for the lack of policy action. Clarity among policy makers over shared roles and leadership for policy making must be addressed to overcome the current burden of CVD in rural communities. What is known about the topic? Rural health inequalities, such as the increased burden of CVD in rural Australia are persistent. Such health inequalities are unjust, with global theory suggesting political processes have facilitated, in part, the inequalities. With similar examples observed internationally in rural areas, little is known about the influence of the perspectives of policy makers regarding who is responsible for addressing health issues in rural areas, in the government context. What does this paper add? This paper provides empirical evidence, for all levels of government in Australia, that there is a lack of clarity in policy roles and responsibilities to address the unequal burden of CVD in rural Australia, at all levels of government. The paper provides evidence to support the urgent need for clarity within government around policy stakeholder roles. Without such clarity, it is unlikely that national-level progress in addressing rural health inequalities will be achieved in the near future. What are the implications for practitioners? Addressing ambiguity around who is responsible for the development of evidence-based policy to address the high burden of CVD in rural areas must be a high priority to ensure health disparities do not persist for future Australian generations. The results reported here are highly relevant to the Australian context, but also reflect similar findings internationally, namely that a lack of clarity among policy stakeholders appears to contribute to reduced action in addressing preventable health inequalities in disadvantaged populations. This paper provides evidence for policy makers and public health professionals to advocate for clear policy roles and direction in rural Australia.

Policy makers' perceptions of the high burden of heart disease in rural Australia: Implications for the implementation of evidence-based rural health policy.

BACKGROUND: Rural Australian populations experience an increased burden of ischaemic heart disease (IHD) compared to their metropolitan counterparts, similar to other developed countries, globally. Policy and other efforts need to address and acknowledge these differences in order to reduce inequalities in health burden. This paper examines rural health policy makers' perceptions and use of evidence in efforts to reduce the burden of IHD in rural areas. METHODS: Policy makers and government advisors (n = 21) who worked with, or advised on, rural health policy at local, state and federal government levels, with specific focus on the state of Victoria (n = 9) were identified from publicly available documents and subsequent snowball sample. Semi-structured qualitative interviews were conducted in regards to the use of evidence in policy to prevent IHD and thematic analysis undertaken applying two theoretical perspectives: context-based evidence-based policy making and the conceptual framework for understanding rural and remote health. RESULTS: The rural context, particularly low resourcing, was seen as limiting potential for evidence based policy at local government (LG) level. Lower levels of political pressure and education were seen as constraints to evidence-based policy in rural communities. Participants described the potential for policy to have a greater impact on reducing heart disease in rural areas though they felt under-resourced and out of touch with the scientific evidence. Scientific studies were less valued than local anecdote to prioritise specific policy. At all levels (local, state and federal) low self-efficacy in interpreting evidence and perceived lack of relevance inhibited development of evidence informed policy. CONCLUSION: The rural context constrains the use of scientific evidence in policy making for the prevention of heart disease in rural areas in Australia with multiple factors influencing the capacity for evidenced based health policy. This is similar to findings at the international scale and is for consideration across other developed countries that experience inequalities in IHD disease burden between rural and urban populations.

Variation in the physical activity environment according to area-level socio-economic position-A systematic review.

Physical inactivity is a major contributing factor to obesity, and both follow a socio-economic gradient. This systematic review aims to identify whether the physical activity environment varies by socio-economic position (SEP), which may contribute to socio-economic patterning of physical activity behaviours, and in turn, obesity levels. Six databases were searched. Studies were included if they compared an objectively measured aspect of the physical activity environment between areas of differing SEP in a high-income country. Two independent reviewers screened all papers. Results were classified according to the physical activity environment analysed: walkability/bikeability, green space, and recreational facilities. Fifty-nine studies met the inclusion criteria. A greater number of positive compared with negative associations were found between SEP and green space, whereas there were marginally more negative than positive associations between SEP and walkability/bikeability and recreational facilities. A high number of mixed and null results were found across all categories. With a high number of mixed and null results, clear socio-economic patterning in the presence of physical activity environments in high-income countries was not evident in this systematic review. Heterogeneity across studies in the measures used for both SEP and physical activity environments may have contributed to this result.

Regional variation in cardiovascular mortality in Australia 2009-2012: the impact of remoteness and socioeconomic status.

OBJECTIVE: To assess the extent to which socioeconomic status (SES) contributes to geographic disparity in cardiovascular disease (CVD) mortality. METHODS: An ecological study assessed the association between remoteness and CVD mortality rates, and the mediating effect of SES on this relationship, using Australia-wide data from 2009 to 2012. RESULTS: Socioeconomic status explained approximately one-quarter of the increased CVD mortality rates for females in inner and outer regional areas, and more than half of the increased CVD mortality rates in inner regional and remote/very remote areas for males, compared to major cities. After allowing for the mediating effect of SES, females living in inner regional areas and males living in remote/very remote areas had the greatest CVD mortality rates (Mortality Rate Ratio: 1.12, 95%CI 1.07-1.17; MRR: 1.15, 95%CI 1.05-1.25, respectively) compared to those in major cities. CONCLUSION: Socioeconomic status explained a substantial proportion of the association between where a person resides and CVD mortality rates; however, remoteness has an effect above and beyond SES for a number of subpopulations. Implications for public health: This study highlights the need to focus on both socioeconomic disadvantage and accessibility to reduce CVD mortality in regional and remote Australia.

Social network analysis of stakeholder networks from two community-based obesity prevention interventions.

INTRODUCTION: Studies of community-based obesity prevention interventions have hypothesized that stakeholder networks are a critical element of effective implementation. This paper presents a quantitative analysis of the interpersonal network structures within a sub-sample of stakeholders from two past successful childhood obesity prevention interventions. METHODS: Participants were recruited from the stakeholder groups (steering committees) of two completed community-based intervention studies, Romp & Chomp (R&C), Australia (2004-2008) and Shape Up Somerville (SUS), USA (2003-2005). Both studies demonstrated significant reductions of overweight and obesity among children. Members of the steering committees were asked to complete a retrospective social network questionnaire using a roster of other committee members and free recall. Each participant was asked to recall the people with whom they discussed issues related to childhood obesity throughout the intervention period, along with providing the closeness and level of influence of each relationship. RESULTS: Networks were reported by 13 participants from the SUS steering committee and 8 participants from the R&C steering committee. On average, participants nominated 16 contacts with whom they discussed issues related to childhood obesity through the intervention, with approximately half of the relationships described as 'close' and 30% as 'influential'. The 'discussion' and 'close' networks had high clustering and reciprocity, with ties directed to other steering committee members, and to individuals external to the committee. In contrast, influential ties were more prominently directed internal to the steering committee, with higher network centralization, lower reciprocity and lower clustering. DISCUSSION AND CONCLUSION: Social network analysis provides a method to evaluate the ties within steering committees of community-based obesity prevention interventions. In this study, the network characteristics between a sub-set of stakeholders appeared to be supportive of diffused communication. Future work should prospectively examine stakeholder network structures in a heterogeneous sample of community-based interventions to identify elements most strongly associated with intervention effectiveness.

Rural Inequalities in the Australian Burden of Ischaemic Heart Disease: A Systematic Review.

OBJECTIVE: To summarise all available evidence on the differences in burden of ischaemic heart disease (IHD) between metropolitan and rural communities of Australia. METHODS: Systematic review of peer-reviewed literature published between 1990 and 2014. Search terms were derived from the four major topics: (1) rural; (2) ischaemic heart disease; (3) Australia; and (4) burden of disease. Terms were adapted for six databases and two independent researchers screened results. Studies were included if they compared outcomes related to IHD in adults aged 18 years and over, between (at least) two areas of differing remoteness, at the same point in time. RESULTS: Twenty studies were included and presented data collected between 1969 and 2010. Seventeen studies showed a clear disparity in IHD outcomes between major cities and regional and remote areas, with a consistently higher burden observed outside major cities. Among Aboriginal and Torres Strait Islander populations, fewer differences were observed and some IHD outcomes were not associated with remoteness. CONCLUSIONS: Populations outside of major cities in Australia bear a disproportionately high burden of ill health due to IHD, yet the majority of the rural populations are yet to be investigated in terms of burden of disease outcomes from IHD. IMPLICATIONS: Remoteness is a key determinant of IHD burden in Australia. The reasons for increased IHD burden in rural compared to metropolitan communities of Australia are poorly understood, which has implications for the design of targeted interventions to reduce geographical inequalities.

Critical design features for establishing a childhood obesity monitoring program in Australia.

Efforts to combat childhood obesity in Australia are hampered by the lack of quality epidemiological data to routinely monitor the prevalence and distribution of the condition. This paper summarises the literature on issues relevant to childhood obesity monitoring and makes recommendations for implementing a school-based childhood obesity monitoring program in Australia. The primary purpose of such a program would be to collect population-level health data to inform both policy and the development and evaluation of community-based obesity prevention interventions. Recommendations are made for the types of data to be collected, data collection procedures and program management and evaluation. Data from an obesity monitoring program are crucial for directing and informing policies, practices and services, identifying subgroups at greatest risk of obesity and evaluating progress towards meeting obesity-related targets. Such data would also increase the community awareness necessary to foster change.

Cardiovascular disease in Europe--epidemiological update 2015.

This article provides an update for 2015 on the burden of cardiovascular disease (CVD), with a particular focus on coronary heart disease (CHD) and stroke, across the countries of Europe. Cardiovascular disease is still the most common cause of death within Europe, causing almost two times as many deaths as cancer across the continent. Although there is clear evidence, where data are available, that mortality from CHD and stroke has decreased substantially over the last 5-10 years, there are still large inequalities found between European countries, in both current rates of death and the rate at which these decreases have occurred. Similarly, rates of treatment, particularly surgical intervention, differ widely between those countries for which data are available, indicating a range of inequalities between them. This is also the first time in the series that we use the 2013 European Standard Population (ESP) to calculate age-standardized death rates (ASDRs). This new standard results in ASDRs around two times as large as the 1976 ESP for CVD conditions such as CHD but changes little the relative rankings of countries according to ASDR.

The stability of weight status through the early to middle childhood years in Australia: a longitudinal study.

OBJECTIVES: To investigate the sociodemographic and behavioural factors associated with incidence, persistence or remission of obesity in a longitudinal sample of Australian children aged 4-10 years. SETTING: Nationally representative Longitudinal Study of Australian Children (LSAC). PARTICIPANTS: The sample for this analysis included all children in the Kinder cohort (aged 4-5 years at wave 1) who participated in all four waves of LSAC (wave 1, 2004, aged 4-5 years; wave 2, 2006, aged 6-7 years; wave 3, 2008, aged 8-9 years and wave 4, 2010, aged 10-11 years). Of the 4983 children who participated in the baseline (wave 1) survey, 4169 (83.7%) children completed all four waves of data collection. PRIMARY AND SECONDARY OUTCOME MEASURES: Movement of children between weight status categories over time and individual-level predictors of weight status change (sociodemographic characteristics, selected dietary and activity behaviours). RESULTS: The study found tracking of weight status across this period of childhood. There was an inverse association observed between socioeconomic position and persistence of overweight/obesity. Sugar-sweetened beverages and fruit and vegetable intake and screen time appeared to be important predictors of stronger tracking. CONCLUSIONS: Overweight and obesity established early in childhood tracks strongly to the middle childhood years in Australia, particularly among children of lower socioeconomic position and children participating in some unhealthy behaviour patterns.