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Cardiovascular diseases (CVD) are the leading cause of death in Indonesia, and there are large disparities in access to recommended preventative treatments across the country, particularly in rural areas. Technology-enabled screening and management led by community health workers have been shown to be effective in better managing those at high risk of CVD in a rural Indonesian population; however, the economic impacts of implementing such an intervention are unknown. We conducted a modelled cost-effectiveness analysis of the SMARThealth intervention in rural villages of Malang district, Indonesia from the payer perspective over a 10-year period. A Markov model was designed and populated with epidemiological and cost data collected in a recent quasi-randomized trial, with nine health states representing a differing risk for experiencing a major CVD event. Disability-Adjusted Life Years (DALYs) were estimated for the intervention and usual care using disability weights from the literature for major CVD events. Annual treatment costs for CVD treatment and prevention were $US83 under current care and $US144 for those receiving the intervention. The intervention had an incremental cost-effectiveness ratio of $4288 per DALY averted and $3681 per major CVD event avoided relative to usual care. One-way and probabilistic sensitivity analyses demonstrated that the results were robust to plausible variations in model parameters and that the intervention is highly likely to be considered cost-effective by decision-makers across a range of potentially acceptable willingness to pay levels. Relative to current care, the intervention was a cost-effective means to improve the management of CVD in this rural Indonesian population. Further scale-up of the intervention offers the prospect of significant gains in population health and sustainable progress toward universal health coverage for the Indonesian population.

Introduction: The scientific evidence base in support of salt reduction is strong but the data required to translate these insights into reduced population salt intake are mostly absent. The aim of this research project is to develop the evidence base required to formulate and implement a national salt reduction programme for India. Methods and analysis: The research will comprise three components: a stakeholder analysis involving government, industry, consumers and civil society organisations; a population survey using an age-stratified and sex-stratified random samples drawn from urban (slum and non-slum) and rural areas of North and South India; and a systematic quantitative evaluation of the nutritional components of processed and restaurant foods. The stakeholder interviews will be analysed using qualitative methods to summarise the main themes and define the broad range of factors influencing the food environment in India. The population survey will estimate the mean daily salt consumption through the collection of 24 h urine samples with concurrent dietary surveys identifying the main sources of dietary sodium/salt. The survey of foods will record the nutritional composition of the chief elements of food supply. The findings from this research will be synthesised and proposals for a national salt reduction strategy for India will be developed in collaboration with key stakeholders. Ethics and dissemination: This study has been approved by the Human Research Ethics Committees of the University of Sydney and the Centre for Chronic Disease Control in New Delhi, and also by the Indian Health Ministry's Screening Committee. The project began fieldwork in February 2014 and will report the main results in 2016. The findings will be targeted primarily at public health policymakers and advocates, but will be disseminated widely through other mechanisms including conference presentations and peer-reviewed publications, as well as to the participating communities.

Background: The Global Alliance for Chronic Diseases comprises the majority of the world's public research funding agencies. It is focussed on implementation research to tackle the burden of chronic diseases in low- and middle-income countries and amongst vulnerable populations in high-income countries. In its inaugural research call, 15 projects were funded, focussing on lowering blood pressure-related disease burden. In this study, we describe a reflexive mapping exercise to identify the behaviour change strategies undertaken in each of these projects. Methods: Using the Behaviour Change Wheel framework, each team rated the capability, opportunity and motivation of the various actors who were integral to each project (e.g. community members, non-physician health workers and doctors in projects focussed on service delivery). Teams then mapped the interventions they were implementing and determined the principal policy categories in which those interventions were operating. Guidance was provided on the use of Behaviour Change Wheel to support consistency in responses across teams. Ratings were iteratively discussed and refined at several group meetings. Results: There was marked variation in the perceived capabilities, opportunities and motivation of the various actors who were being targeted for behaviour change strategies. Despite this variation, there was a high degree of synergy in interventions functions with most teams utilising complex interventions involving education, training, enablement, environmental restructuring and persuasion oriented strategies. Similar policy categories were also targeted across teams particularly in the areas of guidelines, communication/marketing and service provision with few teams focussing on fiscal measures, regulation and legislation. Conclusions: The large variation in preparedness to change behaviour amongst the principal actors across these projects suggests that the interventions themselves will be variably taken up, despite the similarity in approaches taken. The findings highlight the importance of contextual factors in driving success and failure of research programmes. Forthcoming outcome and process evaluations from each project will build on this exploratory work and provide a greater understanding of factors that might influence scale-up of intervention strategies.