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February 9, 2026JMIR Formative Research0 citationsOpen Access

Challenges for a Maternal-Care Health Recommender System in Indonesia: Formative Preimplementation Qualitative Study

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RPRinto PriambodoPHPutu Wuri HandayaniRARizal Fathoni Aji

Key Points

  • This study aims to analyze challenges in the implementation of a health recommender system for maternal care in Indonesia from various stakeholders' perspectives.
  • Qualitative approach using semi-structured interviews
  • Interviews conducted with 37 respondents including health workers, patients, government officers, and technology vendors
  • Thematic analysis used to analyze interview data
  • Identified six major challenges related to skill, accuracy, completeness, timeliness, cost, and standardization
  • Challenges coded 96 times, representing 64.43% of total codes
  • Intercoder reliability for coding was almost perfect (Cohen κ=0.90)

Abstract

Background Maternal evaluation during routine antenatal care visits may reduce maternal morbidity and mortality by identifying and addressing issues early on. A health recommender system could help health professionals and pregnant women monitor daily health parameters, provide tailored recommendations, and support timely antenatal care. Objective This study aims to qualitatively analyze challenges in the preimplementation of health recommender system for maternal care in Indonesia as perceived by multiple stakeholders, including health care providers, patients, health system managers, government officers, and technology vendors. Methods The methodology used a qualitative approach, where qualitative data were obtained from interviews of 37 respondents from multiple stakeholders, consisting of 15 health workers and 15 patients from private and government health care facilities, 4 officers from government health offices, 2 directors of health application vendors, and 1 manager from a private health clinic. These semistructured interview results were analyzed using thematic analysis. Results This qualitative study identifies key challenges in implementing a health recommender system for maternal care in Indonesia across the people, process, infrastructure, and policy dimensions. Intercoder reliability for the coding process demonstrated almost perfect agreement (Cohen κ=0.90), supporting the consistency of the coding process. Six major challenges were revealed, mostly regarding skill, accuracy, completeness, timeliness, cost, and standardization. These 6 major challenges were mentioned 96 times, accounting for 64.43% of all codes extracted from the interviews. These findings emphasize the value of user involvement in system design to meet health care professionals’ and patients’ needs, technical advancements to foster trust and support effective decision-making, as well as enhanced data accuracy, reliable and timely service delivery, cost management, and clear regulatory standards. Conclusions This formative, preimplementation qualitative study highlights the importance of involving users in system design and future implementation to meet the needs of health care professionals and patients. Reducing input errors and improving system reliability are critical to building trust and supporting effective point-of-care decision-making and, in later phases, facility-level monitoring as part of public health surveillance. Adherence to regulatory standards and the establishment of standardized guidelines will be key to enabling broader implementation. Further usability, feasibility, and pilot studies are required before any evaluation of effectiveness.

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Cite This Study

Priambodo et al. (2026) studied this question.

synapsesocial.com/papers/698979a6f0ec2af6756e775dhttps://doi.org/10.2196/73726
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