Prioritising and planning scale-up research projects targeting non-communicable diseases: a mixed-method study by the Global Alliance for Chronic Diseases upscaling working group.

INTRODUCTION: Governments must scale-up evidence-based interventions to reduce the burden of non-communicable diseases (NCDs). Implementation research can help develop contextually appropriate strategies and optimise interventions for scale-up. We aimed to determine the priorities of the Global Alliance for Chronic Diseases (GACD) 2019 funding round for scale-up research targeting NCD interventions. The research questions were: (a) What was the purpose of the call and what were the specific issues considered by funders when supporting the selected projects? (b) How did the selected research projects align with the objectives of GACD scale-up call? METHODS: We undertook a mixed-methods study to examine the projects funded by the GACD in 2019. We completed semistructured interviews with representatives from 5 out of 8 funding agencies and complemented this by reviewing project documents from 21 (78%) of the 27 funded studies. A literature review of scale-up frameworks informed the interview guide and data extraction template. The transcripts were open-coded using thematic analysis to identify critical issues for funders. Data were extracted to identify the common elements considered when planning, implementing and evaluating interventions for scale-up. RESULTS: Interviews with the funders revealed three enabling themes related to scale-up: local research priorities (contextualisation through engagement), capacity building (developing knowledge base) and connections (networking opportunities). We further identified that timelines (more flexibility) and equity (funding low-income and middle-income researchers) could be considered for future funding investments. Multidisciplinary international research teams led the development of diverse studies to address funder's priorities. The detailed plans included a range of implementation frameworks to help develop contextual scale-up strategies. CONCLUSIONS: Fundamental to NCD scale-up research are (1) funding opportunities that reflect the complexity and time necessary to enable contextualisation; (2) investment in building multidisciplinary research capacity and leadership and (3) better networking to encourage cohesive action and align NCD-related scale-up research activities globally.

Applying systems thinking to identify enablers and challenges to scale-up interventions for hypertension and diabetes in low-income and middle-income countries: protocol for a longitudinal mixed-methods study.

INTRODUCTION: There is an urgent need to reduce the burden of non-communicable diseases (NCDs), particularly in low-and middle-income countries, where the greatest burden lies. Yet, there is little research concerning the specific issues involved in scaling up NCD interventions targeting low-resource settings. We propose to examine this gap in up to 27 collaborative projects, which were funded by the Global Alliance for Chronic Diseases (GACD) 2019 Scale Up Call, reflecting a total funding investment of approximately US$50 million. These projects represent diverse countries, contexts and adopt varied approaches and study designs to scale-up complex, evidence-based interventions to improve hypertension and diabetes outcomes. A systematic inquiry of these projects will provide necessary scientific insights into the enablers and challenges in the scale up of complex NCD interventions. METHODS AND ANALYSIS: We will apply systems thinking (a holistic approach to analyse the inter-relationship between constituent parts of scaleup interventions and the context in which the interventions are implemented) and adopt a longitudinal mixed-methods study design to explore the planning and early implementation phases of scale up projects. Data will be gathered at three time periods, namely, at planning (TP), initiation of implementation (T0) and 1-year postinitiation (T1). We will extract project-related data from secondary documents at TP and conduct multistakeholder qualitative interviews to gather data at T0 and T1. We will undertake descriptive statistical analysis of TP data and analyse T0 and T1 data using inductive thematic coding. The data extraction tool and interview guides were developed based on a literature review of scale-up frameworks. ETHICS AND DISSEMINATION: The current protocol was approved by the Monash University Human Research Ethics Committee (HREC number 23482). Informed consent will be obtained from all participants. The study findings will be disseminated through peer-reviewed publications and more broadly through the GACD network.