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[1O29]Strengthening Local Health Systems & Leaving No One Behind: The Case of MuPLoMT and eTSI NOVuS in Pasig City, Philippines
*Carbaja Rosselle Trishia1,3、Calderon Jaztine1、Batangan Dennis1、Garcia Patria Luwalhati1、Cuevas Emma Ruth2 (1. Ateneo de Manila University - Institute of Philippine Culture、2. City Government of Pasig - City Health Department、3. Ateneo de Manila University - Department of Sociology and Anthropology)
キーワード：
digital health、information system、social protection、health equity
In the Philippines, fragmented service delivery and social vulnerabilities, such as patients who are lost to follow-up (LTFU) and listed under the National Household Targeting System for Poverty Reduction (NHTS-PR), restrict access to fundamental resources such as basic health services and social insurance. The result of these compounding challenges is an unfortunate cycle that further marginalizes groups from essential services and opportunities for improved well-being.
This study reviewed how digital health information systems, such as the Multi-Programme Local Mapping Tool (MuPLoMT) and its enhanced module, the eTriage for Social Inclusion: Navigating Out of Vulnerability Situations (eTSI NOVuS), improve health equity and social protection at the local level. MuPLoMT is particularly anchored on the concept of ‘Leaving No One Behind,’ a fundamental core value of Sustainable Development Goals (SDGs). The design of the system emphasizes the transformative capabilities of digital health technologies in ensuring that vulnerable populations are provided with access to essential health services amidst differences in economic, social, cultural, and environmental circumstances. Using workflow observation, participatory action research, and documentation of LTFU reports, the study analyzed how these tools were integrated into routine primary care and social protection programs.Findings reveal that implementing and integrating MuPLoMT into clinic workflows improved patient tracking, continuity of care, and data-driven planning. The eTSI NOVuS module, on the other hand, contributed to a measurable decline in LTFU cases, while identifying three leading causes: transfers to private clinics, unavailability of free medicines, and migration due to work. These insights enabled targeted interventions to ensure vulnerable patients continued receiving care and medicines. Overall, consolidating data from various health programs, MuPLoMT enables local health authorities to generate comprehensive community health profiles and target vulnerable individuals who need interventions.
This study reviewed how digital health information systems, such as the Multi-Programme Local Mapping Tool (MuPLoMT) and its enhanced module, the eTriage for Social Inclusion: Navigating Out of Vulnerability Situations (eTSI NOVuS), improve health equity and social protection at the local level. MuPLoMT is particularly anchored on the concept of ‘Leaving No One Behind,’ a fundamental core value of Sustainable Development Goals (SDGs). The design of the system emphasizes the transformative capabilities of digital health technologies in ensuring that vulnerable populations are provided with access to essential health services amidst differences in economic, social, cultural, and environmental circumstances. Using workflow observation, participatory action research, and documentation of LTFU reports, the study analyzed how these tools were integrated into routine primary care and social protection programs.Findings reveal that implementing and integrating MuPLoMT into clinic workflows improved patient tracking, continuity of care, and data-driven planning. The eTSI NOVuS module, on the other hand, contributed to a measurable decline in LTFU cases, while identifying three leading causes: transfers to private clinics, unavailability of free medicines, and migration due to work. These insights enabled targeted interventions to ensure vulnerable patients continued receiving care and medicines. Overall, consolidating data from various health programs, MuPLoMT enables local health authorities to generate comprehensive community health profiles and target vulnerable individuals who need interventions.
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