@article {Durande005855, author = {A Mark Durand and W Thane Hancock and Haley L Cash and Ian Rouse and Emi Chutaro and Livinson Taulung and Mahomed Patel}, title = {Innovations to maximise impact of a data for decision-making training programme in the Federated States of Micronesia}, volume = {6}, number = {10}, elocation-id = {e005855}, year = {2021}, doi = {10.1136/bmjgh-2021-005855}, publisher = {BMJ Specialist Journals}, abstract = {Accurate and timely health information is an essential foundation for strengthening health systems. Data for decision making (DDM) is a training curriculum designed to enhance capacity of health department staff to capture and use high-quality data to address priority health issues. In 2013, the Pacific Public Health Surveillance Network adapted and piloted the DDM curriculum as an {\textquoteleft}at work, from work, for work{\textquoteright} field epidemiology training programme component for low-income and middle-income Pacific Island jurisdictions. Based on lessons learned from the pilot, we made several innovations, including delivery on-site at each district (rather than bringing trainees to a central location), conducting pre-DDM consultations and ongoing contact with health leaders across the programme, taking more care in selecting trainees and enrolling a larger cohort of students from within each health department. The decentralised programme was delivered in-country at four sites (both at national and state levels) in the Federated States of Micronesia. Following delivery, we performed an external evaluation of the programme to assess student outcomes, benefits to the health department and general programme effectiveness. Of the 48 trainees who completed all four classroom modules, 40 trainees participated in the evaluation. Thirty-two of these trainees completed the programme{\textquoteright}s capstone field project. Eighteen of these projects directly contributed to changes in legislation, revised programme budgets, changes in programme strategy to augment outreach and to target disease and risk factor {\textquoteleft}hot spots{\textquoteright}.Data are available upon reasonable request.}, URL = {https://gh.bmj.com/content/6/10/e005855}, eprint = {https://gh.bmj.com/content/6/10/e005855.full.pdf}, journal = {BMJ Global Health} }