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      "title.narrative":["NIHR Global Health Policy and Systems Research Projects: Call 2"],
      "title_narrative":["NIHR Global Health Policy and Systems Research Projects: Call 2"],
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UK and LMIC universities and research institutes were invited to submit applications including either a sole LMIC Lead Applicant, or two Joint Lead Applicants from either a LMIC or the UK, at least one of whom must be employed by a LMIC institution.. To support applied Health Policy and Systems Research Projects which:\n1) Will support new entrants to global health policy and systems research through smaller scale awards.\n2) Have clearly defined questions which specifically target an identified health policy and/or system(s) challenge or evidence gap and set out how the outcome of the research will benefit vulnerable populations in LMICs.\n3) Address priorities identified by and relevant to local stakeholders and policymakers, and deliver evidence and outcomes that will inform policy or change practice, for example informing local, regional or national strategies.\n4) Have plans to involve relevant communities and stakeholders to ensure that research objectives address their needs.\n5) Include research capacity development plans for LMIC partners that are proportionate and relevant to delivery of the proposed activities and include appropriate project management and financial/administrative support.\n6) Support career development for research leaders of the future, e.g. through supporting less experienced researchers in LMICs to lead/jointly lead on the research proposal with effective mentoring and support from appropriate Co-Applicants.\n \n ID: GB-GOV-10-HPSR_Project_2_168786\nTitle: NIHR-HSPR-PA-Developing a National Integrated Digital platform for AMR Data Surveillance and Management in Uganda\nDescription: The project will develop, implement and evaluate the National Integrated Anti-Microbial Resistance (NIAMR) Digital Platform which will be designed to integrate and share data generated in health facilities across Uganda to support rapid detection and monitoring of AMR, and inform scaling of the platform across other One Health sectors (i.e. animal health, environment, water and wildlife). This initiative bridges the gap between raw laboratory data and actionable public health intelligence. By creating a unified national picture of resistance patterns and quickly identifying resistance hotspots, the platform aims to support better patient care, guide treatment policies and target interventions more effectively.\nBeyond the technology, the project implements comprehensive training and protocols to empower a wide range of stakeholders (frontline health workers, communities, researchers and policy makers) to use digital data to improve health outcomes and national antimicrobial stewardship.\nThis work involves assessing current data systems, co-designing the platform with stakeholders, piloting it in selected regions, and evaluating its impact on surveillance and clinical decision-making. The goal is to establish a sustainable, scalable tool that enables data-driven action to reduce the burden of AMR in Uganda with future potential to include animal, water and environmental health AMR data.\nThe NIAMR Project is a collaborative project between Makerere University, the Ministry of Health, Mbarara University of Science and Technology and the Baylor College of Medicine, Uganda. The project will be undertaken in Uganda from February 2026 to January 2029 (3 years).\n \nThe project addresses the critical problem of AMR in Uganda where it is a leading public health security problem. The major challenge is that valuable AMR data generated in health facilities remains siloed and unavailable for decision-making.. This project has 5 objectives:\n1. To analyse the current landscape, challenges and opportunities of anti-microbial resistance (AMR) data management in Uganda.\n2. To co-develop and implement a National Integrated AMR Digital Platform for capturing, processing and sharing of AMR data.\n3. To evaluate the platform’s impact on improving AMR surveillance, clinical decision-making and identification of resistance hotspots.\n4. To assess the platform’s feasibility, acceptability, and usability among healthcare workers, policy makers and other stakeholders.\n5. To plan for the platform’s sustainable scale-up nationally and its future expansion to other One Health sectors.\n \n ID: GB-GOV-10-HPSR_Project_2_169017\nTitle: NIHR-HSPR-PA-Schema-Uganda: Strengthening community health and epidemic management in Uganda\nDescription: This project is a three year, mixed-methods research programme that aims to strengthen community health systems and epidemic preparedness in Uganda by integrated governance analysis, knowledge mobilisation, and participatory modelling. Organised into three interlinked workstreams, the study examines how different configurations of community health systems and community health workers  perform during routine service delivery and during epidemic response, and how these can be optimised for efficiency, equity, and resilience.\n \nThe work is led by a multidisciplinary team of Ugandan and UK researchers, with expertise in health systems research, epidemiology, economics, and modelling, working at Makere University, Uganda and University of York, UK. Working in close collaboration with the Ministry of Health, district health teams, community health supervisors, community health workers, civil society organisations, and development partners. Stakeholders are engaged not only as respondents but as active contributors through participatory dialogue, capacity-building, and co-production of evidence.\n \n The research is conducted in Uganda at national, district, and community levels. Selected districts provide focal sites for qualitative research, stakeholder dialogues, simulation exercises, and participatory modelling, reflecting variation in health system capacity and epidemic risk. National-level engagement ensures alignment with policy priorities and relevance to planning and epidemic preparedness.\n \n The project will be implemented from August 2025 to July 2028, with workstreams running in parallel and iteratively.\n \nThe study is being conducted because most outbreaks in Uganda are geographically constrained in their early phases and require targeted, community-level responses in which community health workers play a central role. Yet policy decisions on community health systems and community health workers' deployment are often made without integrated evidence on system performance, trade-offs, and resilience. By embedding participatory epidemic modelling within real-world governance and planning processes, the project generates actionable evidence to support better decision-making, strengthen epidemic preparedness, and safeguard routine primary health care delivery.. This project has 2 objectives:\n1. To establish how Uganda's community health system can be strengthened to optimise resource allocation, improve outbreak preparedness, and enhance delivery of routine and emergency services.\n2. To establish how stakeholder engagement, supported by participatory modelling, can facilitate evidence-informed decision-making and strengthen policy coalitions for community health systems in Uganda.\n",
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