To form coordinated data-driven maternal and newborn care and nutrition by FHW teams through active use of routine client data on OpenSRP mobile information systems to ensure complete coverage and continuity of care in 6 districts across Indonesia covering a population of 5 million persons, within 3 years.
Description
The Adaptive Network for Care at Scale (ANCS) programme addresses the context in Indonesia, a nation with 262 million inhabitants undergoing rapid transitions related to urbanisation and health governance decentralisation across 514 districts. Current health gains across the country are uneven, with major gaps such as stagnant maternal mortality and minimal change in neonatal mortality.
The innovation is to create district-level systems that optimise synergy between existing resources and policies by creating a dynamic network that links practice and data to adapt to the needs of each client, region and time period. A core resource is frontline health workers (FHWs) in each primary health centre (PUSKESMAS) that includes midwives, vaccinators, nutritionists and community health workers (CHWs).
Their client data is recorded on paper-form registers, which precludes data-driven supervision and prevents assessment of FHW task completeness and quality for individual clients, hampers use of data on a frequent basis and limits data-driven action.
A second resource is the universal healthcare system called Jaminan Kesehatan National (JKN)-BPJS, introduced in 2014 and covering 203 million people. The system has improved health equity and service access but with gaps for enrolees in wealth quartiles 2 and 3 and in overall low coverage for maternal and newborn care. It has created a pathway for insurance payments to midwives for antenatal care (ANC) and postnatal care (PNC), but challenges in claim processing and a lack of needed service authentication limit its impact.
• Our goal is for governments at all levels to show improved use of integrated digital health information systems (for example, the Open Smart Register Platform (OpenSRP)) and active use of data for monitoring and action to enhance the health of pregnant women and newborns.
• Coordinated teams of FHWs will be established and supported with OpenSRP to have better coordination to jointly complete care plans for ANC, delivery, PNC, nutrition counselling, immunisation, micronutrient supplementation, Covid-19 screening and vaccination, and for newborn and infant tracking for Covid-19, and breastfeeding, according to the new government schedule, as part of a digital health service ecosystem.
• In January 2022, in OpenSRP active districts, FHWs and programme implementers will be provided with continuous training with digital and other job aids to provide better integrated services to improve training and performance.
• In January 2023, in OpenSRP active districts, FHW and support teams are formed who can provide ANCS networked care delivery.
• The innovation is available to provide performance-based assessment and to facilitate data-driven recognition and compensation of health workers.
• Continuously approach and engage government, at least twice a year, and involve the government in the ANCS programme so they have the commitment and capacity to use the innovations for care enhancement and decision-making.
Overarching commitment (for commitments submitted pre-2025)
Title
Adaptive Networks for Care at Scale (ANCS)
Description
Satu Data Indonesia (SID) commits to overcoming bottlenecks in maternal and neonatal care and nutrition, utilising five core components:
1. Coordinated, data-driven maternal and newborn care and nutrition delivered by FHW teams through active use of routine client data on the OpenSRP mobile information system to ensure complete coverage and continuity of care. OpenSRP is currently deployed with the aim to enhance maternal care, including Covid-19 screening, vaccination, multiple micronutrient supplementation during pregnancy, blood pressure and diabetes monitoring and management, maternal, newborn and infant tracking for Covid-19 according to government schedules and the promotion of breastfeeding.
2. Enhanced FHW knowledge, skills and accountability through the proctored Knowledge Gateway (KG) online assessment platform. The platform provides targeted training (ie, interprofessional collaboration) for workers to attain professional society certification, meet public-sector human resource performance requirements and receive coaching for continuous improvement.
3. Universal health coverage provider incentivisation by real-time verification of service completeness and quality by OpenSRP and linked with accelerated provider claim payments.
4. Client demand-side incentives that promote improved quality of care based on client feedback on care completeness and quality.
5. Completion of app migration to the Fast Healthcare Interoperability Resources (FHIR) standard for a ‘One Data’ system, according to the Presidential Regulation No. 39 Year 2019.
The first four components are to be achieved through deployment of OpenSRP, the Knowledge Gateway and coaching activities. Meanwhile, the fifth component is an effort to create a highly interoperable system for a unified data system across FHWs. Therefore, all components are integrated to improve the quality of human resources in health and improve quality of maternal and child health and nutrition by improving the quality of human resources and the use of digital tools for health.
GNR assessment
| Verification status |
Verified
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| SMARTness index |
High
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Details
| Target population characteristic |
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| Global nutrition target(s) |
Childhood wasting
Adult diabetes
Anaemia
Low birth weight
Exclusive breastfeeding
Childhood stunting
Raised blood pressure
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| Nutrition Action Classification(s) |
Enabling >
Research, monitoring and data
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| Linked event(s) |
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| N4G Summit theme(s) |
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Measurement
| Key indicator | Number of districts in Indonesia using the OpenSRP mobile information system |
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| Measurement plan | Collect own data |
| Value | Measurement date | |
|---|---|---|
| Baseline | 2 Districts | 2021 |
| Target | 6 Districts | December 2027 |