The common drivers of children and young people's health and wellbeing across 13 local government areas: a systems view.

BACKGROUND: System dynamics approaches, including group model building (GMB) and causal loop diagrams (CLDs), can be used to document complex public health problems from a community perspective. This paper aims to apply Social Network Analysis (SNA) methods to combine multiple CLDs created by local communities into a summary CLD, to identify common drivers of the health and wellbeing of children and young people. METHODS: Thirteen community CLDs regarding children and young people health and wellbeing were merged into one diagram involving three steps: (1) combining variable names; (2) CLD merging, where multiple CLDs were combined into one CLD with a set of unique variables and connections; (3) paring, where the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was used to generate a cut-point to reduce the number of variables and connections and to rank the overall importance of each variable in the merged CLD. RESULTS: Combining variable names resulted in 290 variables across the 13 CLDS. A total of 1,042 causal links were identified in the merged CLD. The DEMATEL analysis of the merged CLD identified 23 common variables with a net importance between 1.0 and 4.5 R + C values and 57 causal links. The variables with the highest net importance were 'mental health' and 'social connection & support' classified as high net receivers of influence within the system. CONCLUSIONS: Combining large CLDs into a simple diagram represents a generalisable model of the drivers of complex health problems.

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.

Understanding weight status and dietary intakes among Australian school children by remoteness: a cross-sectional study.

OBJECTIVE: To determine whether primary school children's weight status and dietary behaviours vary by remoteness as defined by the Australian Modified Monash Model (MMM). DESIGN: A cross-sectional study design was used to conduct secondary analysis of baseline data from primary school students participating in a community-based childhood obesity trial. Logistic mixed models estimated associations between remoteness, measured weight status and self-reported dietary intake. SETTING: Twelve regional and rural Local Government Areas in North-East Victoria, Australia. PARTICIPANTS: Data were collected from 2456 grade 4 (approximately 9-10 years) and grade 6 (approximately 11-12 years) students. RESULTS: The final sample included students living in regional centres (17·4 %), large rural towns (25·6 %), medium rural towns (15·1 %) and small rural towns (41·9 %). Weight status did not vary by remoteness. Compared to children in regional centres, those in small rural towns were more likely to meet fruit consumption guidelines (OR: 1·75, 95 % CI (1·24, 2·47)) and had higher odds of consuming fewer takeaway meals (OR: 1·37, 95 % CI (1·08, 1·74)) and unhealthy snacks (OR = 1·58, 95 % CI (1·15, 2·16)). CONCLUSIONS: Living further from regional centres was associated with some healthier self-reported dietary behaviours. This study improves understanding of how dietary behaviours may differ across remoteness levels and highlights that public health initiatives may need to take into account heterogeneity across communities.

Community coalition efforts to prevent childhood obesity: two-year results of the Shape Up Under 5 study.

BACKGROUND: Cross-sector collaborations and coalitions are promising approaches for childhood obesity prevention, yet there is little empirical evidence about how they affect change. We hypothesized that changes in knowledge of, and engagement with, childhood obesity prevention among coalition members can diffuse through social networks to influence policies, systems, and environments. METHODS: We studied a community coalition (N = 16, Shape Up Under 5 "SUU5 Committee") focused on early childhood obesity prevention in Somerville, MA from 2015-17. Knowledge, engagement, and social network data were collected from Committee members and their network contacts (n = 193) at five timepoints over two years. Policy, systems, and environment data were collected from the SUU5 Committee. Data were collected via the validated COMPACT Stakeholder-driven Community Diffusion survey and analyzed using regression models and social network analysis. RESULTS: Over 2 years, knowledge of (p = 0.0002), and engagement with (p = 0.03), childhood obesity prevention increased significantly among the SUU5 Committee. Knowledge increased among the Committee's social network (p = 0.001). Significant changes in policies, systems, and environments that support childhood obesity prevention were seen from baseline to 24 months (p = 0.003). CONCLUSION: SUU5 had positive effects on "upstream" drivers of early childhood obesity by increasing knowledge and engagement. These changes partially diffused through networks and may have changed "midstream" community policies, systems, and environments.

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 ).

Systematic review of the effectiveness of health promotion interventions targeting obesity prevention in school-based staff.

School-based employee interventions can benefit the health of staff and have the potential to influence the health of school students through role-modelling. However, interventions within schools typically focus on students, with very few studies addressing obesity and related health behaviours among school staff. A systematic review of the peer-reviewed literature published between January 2000 and May 2020 was undertaken to synthesize the evidence on the impact that school-based obesity prevention programmes have on the staff they employ. Search terms were derived from four major topics: (i) school; (ii) staff; (iii) health promotion and (iv) obesity. Terms were adapted for six databases and three independent researchers screened results. Studies were included if they reported on the outcomes of body weight, dietary behaviours and/or physical activity. Of 3483 papers identified in the search, 13 studies met the inclusion criteria. All 13 studies included an intervention that focussed on improving nutrition, physical activity or both. All included studies demonstrated a positive outcome for either dietary intake, weight or body mass index or physical activity outcomes, however not all results were statistically significant. The included studies showed promising, although limited, impacts on employee health outcomes. This review demonstrated a lack of global focus and investment in interventions targeting school staff, particularly in contrast to the large amount of research on school-based health promotion initiatives focussed on students. There is a need for further research to understand effective interventions to promote health and prevent obesity in this large, diverse and influential workforce.

School-based health promotion interventions that focus on employees can benefit the health of staff and have the potential to also influence the health of school students through role-modelling. Most published intervention studies within schools have typically focussed on students, however, with very few studies addressing obesity and related health behaviours among school staff. This systematic review summarizes the evidence on the impact of school-based obesity prevention programmes on the outcomes of physical activity, weight or dietary practices of school staff. The search identified 13 relevant studies published since 2000. The findings of this review show that school staff focussed health promotion interventions can positively impact obesity-related outcomes. The small number of available studies, however, demonstrates a lack of research focus and investment in interventions targeting school staff and teachers' health. The majority of included studies used relatively weak study designs and included small numbers of schools and staff members. This is particularly contrasting to the large body of research on school-based health promotion initiatives focussed on students. There is a need for further research to understand effective interventions to promote health and prevent obesity in this large, diverse and influential workforce.

Association between the school physical activity environment, measured and self-reported student physical activity and active transport behaviours in Victoria, Australia.

BACKGROUND: Environments within schools including the physical, social-cultural and policy/practice environments have the potential to influence children's physical activity (PA) behaviours and weight status. This Australian first study comprehensively examined the association(s) of physical, social-cultural and policy/practice environments with PA, active transport (AT) and weight status among regional primary school children. METHODS: Data were from two childhood obesity monitoring systems in regional Victoria, Australia. Measured height and weight were collected from students in Year 2 (aged approx. 7-8 years), Year 4 (9-10 years), and Year 6 (11-12 years). Self-reported PA behaviour, including AT were collected from students in Year 4 and 6 and a sub-sample wore an ActiGraph (wGT3X-BT) accelerometer for 7-days. A school physical activity environment audit was completed by the school principal and responses were used to calculate school physical activity environment scores (PAES) and active transport environment scores (ATES). Mixed effects logistic regression was used to assess the relationship between the proportion of students meeting the PA guidelines (≥60mins/day of moderate-to-vigorous PA) and PAES tertiles (low, medium, high) and those using AT and school ATES tertiles, controlling for gender, school size/type and socioeconomic composition. RESULTS: The analysed sample included 54/146 (37%) schools and 3360/5376 (64%) students. In stratified analysis, girls in schools with a medium PAES score were more likely to meet the objectively measured PA guideline compared to low PAES score (OR 2.3, 95%CI 1.27, 4.16). Similarly, students in schools with a medium or high ATES score had higher odds of self-reported AT (medium OR 3.15, 95%CI 1.67, 5.94; high OR 3.71, 95%CI: 1.80, 7.64). No association between PAES or ATES and weight status were observed. Self-reported AT among boys (OR 1.59, 95%CI 1.19, 2.13) and girls (OR 1.56, 95%CI 1.08, 2.27) was associated with higher odds of meeting self-reported PA guidelines on all 7-days than those who did not report using AT. CONCLUSIONS: In this study of regional Victorian primary schools, PA environments were only associated with girls' adherence to PA guidelines. School AT environments were strongly associated with students' AT behaviours and with increased likelihood of students being physically active.

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.

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.

A comparison of the modelled impacts on CVD mortality if attainment of public health recommendations was achieved in metropolitan and rural Australia.

OBJECTIVE: To (i) determine the proportion of deaths from CVD that could be avoided in both rural and metropolitan Australia if public health recommendations were met; (ii) assess the impact on the rural CVD mortality; and (iii) determine if policy priorities should be different by rurality for CVD prevention. DESIGN: A macro-simulation modelling study of population data. Population, risk factor and CVD death data stratified by rurality were analysed using the Preventable Risk Integrated Model. The baseline scenario was the current risk factor levels (including physical activity, smoking, diet and alcohol). The counterfactual scenario was the population levels of these risk factors expected if public health recommendations were met. SETTING: Metropolitan and rural Australia. PARTICIPANTS: Rural- and metropolitan-dwelling adults in Australia. RESULTS: Both populations would experience similar relative declines in the proportion of deaths from CVD. A total of 14 892 deaths from CVD would be avoided annually; with similar declines in the proportions of deaths by rurality. Critically, the order of policy priorities for public health recommendation attainment would differ by rurality CVD prevention, with addressing fat intakes being a higher priority in rural areas. CONCLUSIONS: Achieving public health recommendations in Australia would result in large declines in CVD mortality. Despite declines in overall CVD mortality under this scenario, an inequality in CVD burden would persist for rural populations. The order of risk factor priorities would differ by rurality.

Epidemiology report: trends in sex-specific cerebrovascular disease mortality in Europe based on WHO mortality data.

AIMS: There have been substantial declines in cerebrovascular disease mortality across much of Europe, mirroring trends in deaths from cardiovascular disease as a whole. No study has investigated trends in cerebrovascular disease, and its subtypes within all European countries. This study aimed to examine sex-specific trends in cerebrovascular disease, and three of its sub-types: ischaemic stroke, haemorrhagic stroke, and subarachnoid haemorrhage (SAH), in Europe between 1980 and 2016. METHODS AND RESULTS: Sex-specific mortality data for each country of the World Health Organization (WHO) Europe region were extracted from the WHO global mortality database and analysed using Joinpoint software to examine trends. The number and location of significant joinpoints for each country by sex and subtype was determined using a log-linear model. The annual percentage change within each segment was calculated along with the average annual percentage change over the duration of all available data. The last 35 years have seen large overall declines in cerebrovascular disease mortality rates in the majority of European countries. While these declines have continued steadily in more than half of countries, this analysis has revealed evidence of recent plateauing and even increases in stroke mortality in a number of countries, in both sexes, and in all four geographical sub-regions of Europe. Analysis by stroke sub-type revealed that recent plateauing was most common for haemorraghic stroke and increases were most common for ischaemic stroke. CONCLUSION: These findings highlight the need for continued research into the inequalities in both current stroke mortality outcomes and trends across Europe, as well as the causes behind any recent plateauing of total cerebrovascular disease or its subtypes.

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.

Characterising the extent of misreporting of high blood pressure, high cholesterol, and diabetes using the Australian Health Survey.

BACKGROUND: Measuring and monitoring the true prevalence of risk factors for chronic conditions is essential for evidence-based policy and health service planning. Understanding the prevalence of risk factors for cardiovascular disease (CVD) in Australia relies heavily on self-report measures from surveys, such as the triennial National Health Survey. However, international evidence suggests that self-reported data may substantially underestimate actual risk factor prevalence. This study sought to characterise the extent of misreporting in a large, nationally-representative health survey that included objective measures of clinical risk factors for CVD. METHODS: This study employed a cross-sectional analysis of 7269 adults aged 18 years and over who provided fasting blood samples as part of the 2011-12 Australian Health Survey. Self-reported prevalence of high blood pressure, high cholesterol and diabetes was compared to measured prevalence, and univariate and multivariate logistic regression analyses identified socio-demographic characteristics associated with underreporting for each risk factor. RESULTS: Approximately 16 % of the total sample underreported high blood pressure (measured to be at high risk but didn't report a diagnosis), 33 % underreported high cholesterol, and 1.3 % underreported diabetes. Among those measured to be at high risk, 68 % did not report a diagnosis for high blood pressure, nor did 89 % of people with high cholesterol and 29 % of people with high fasting plasma glucose. Younger age was associated with underreporting high blood pressure and high cholesterol, while lower area-level disadvantage and higher income were associated with underreporting diabetes. CONCLUSIONS: Underreporting has important implications for CVD risk factor surveillance, policy planning and decisions, and clinical best-practice guidelines. This analysis highlights concerns about the reach of primary prevention efforts in certain groups and implications for patients who may be unaware of their disease risk status.

A systematic review of published interventions for primary and secondary prevention of ischaemic heart disease (IHD) in rural populations of Australia.

BACKGROUND: Rural Australians are known to experience a higher burden of ischaemic heart disease (IHD) than their metropolitan counterparts and the reasons for this appear to be highly complex and not well understood. It is not clear what interventions and prevention efforts have occurred specifically in rural Australia in terms of IHD. A summary of this evidence could have implications for future action and research in improving the health of rural communities. The aim of this study was to review all published interventions conducted in rural Australia that were aimed at the primary and/or secondary prevention of ischaemic heart disease (IHD) in adults. METHODS: Systematic review of the peer-reviewed literature published between January 1990 and December 2015. Search terms were derived from four major topics: (1) rural; (2) ischaemic heart disease; (3) Australia and; (4) intervention/prevention. Terms were adapted for six databases and three independent researchers screened results. Studies were included if the published work described an intervention focussed on the prevention or reduction of IHD or risk factors, specifically in a rural population of Australia, with outcomes specific to participants including, but not limited to, changes in diet, exercise, cholesterol or blood pressure levels. RESULTS: Of 791 papers identified in the search, seven studies met the inclusion criteria, and one further study was retrieved from searching reference lists of screened abstracts. Typically, excluded studies focused on cardiovascular diseases without specific reference to IHD, or presented intervention results without stratification by rurality. Larger trials that included metropolitan residents without stratification were excluded due to differences in the specific needs, characteristics and health service access challenges of rural populations. Six interventions were primary prevention studies, one was secondary prevention only and one included both primary and secondary intervention strategies. Two interventions were focussed exclusively on Aboriginal and Torres Strait Islander (Australian Indigenous) populations. CONCLUSIONS: Few interventions were identified that exclusively focussed on IHD prevention in rural communities, despite these populations being at increased risk of IHD in Australia, and this is consistent with comparable countries, internationally. Although limited, available evidence shows that primary and secondary interventions targeted at IHD and related risk factors can be effective in a rural setting.

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.

Cardiovascular disease in Europe 2014: epidemiological update.

This paper provides an update for 2014 on the burden of cardiovascular disease (CVD), and in particular coronary heart disease (CHD) and stroke, across the countries of Europe. Cardiovascular disease causes more deaths among Europeans than any other condition, and in many countries still causes more than twice as many deaths as cancer. There is clear evidence in most countries with available data that mortality and case-fatality rates from CHD and stroke have decreased substantially over the last 5-10 years but at differing rates. The differing recent trends have therefore led to increasing inequalities in the burden of CVD between countries. For some Eastern European countries, including Russia and Ukraine, the mortality rate for CHD for 55-60 year olds is greater than the equivalent rate in France for people 20 years older.

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.