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[1K01]Mobilizing Community-based Health Workers for Responsive Health and Social Protection Systems for Inclusive Development

*Calderon Jaztine1、Carbaja Rosselle Trishia1,3、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:

community-based health workers、digital governance、health information system、inclusive service delivery、vulnerable populations

Pasig City, a highly urbanized city in Metro Manila, Philippines, is faced with challenges of rapid urbanization, migration, an aging population, and a rising burden of non-communicable diseases (NCDs). These challenges intersect with poverty, health inequities, and fragmented service delivery. Unfortunately, those most affected by these intersecting challenges belong to the vulnerable populations. If left unaddressed, these challenges widen social divides and undermine both peace and inclusive development.

This research examined the pivotal role of Pasig Health Aides (PHAs), as community-based health workers, in bridging population-level health governance and individual-level health needs. Central to this research is the Multi-Programme Local Mapping Tool (MuPLoMT), a localized electronic health information system in Pasig City designed to consolidate patient data across programs, particularly for NCD prevention and management, where PHAs were integrated as data collectors and community navigators. Using a Participatory Action Research (PAR) approach, data were collected through workflow observations and participatory onboarding workshops. In particular, the research looked into the strategies for training PHAs as data collectors, challenges in integrating health and social data, and implications of community-level data for inclusive service delivery.

The results indicate that integrating PHAs into digital health systems enhances monitoring of health trends such as the Metabolic NCD and Behavioral Risk Factors, improves tracking of lost-to-follow-up patients and prioritization of vulnerable populations included in the National Household Targeting System for Poverty Reduction (NHTS-PR), and reduces barriers to exclusion in accessing health and social services. More broadly, the integration of community-based data collection into digital governance strengthens trust in digital government systems and empowers communities to shape health and social protection services anchored on their experience and realities. This emphasizes that effective digital system implementation must include equity-based and human-centered approaches to sustain resilience and inclusive development.

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