JMIR Publications

ABSTRACT

Background:

The primary healthcare service in Indonesia consists of 10,260 Public Health Centres (Puskesmas), which play a major role in providing health care in the community, recording and reporting health data, using digital Health Information Systems (HIS) and/or manual reports. The utilisation of HIS across Puskesmas is crucial to capture the dynamic evolution of health problems and monitor interventions, thus providing effective primary healthcare services for the community. The primary healthcare service in Indonesia consists of 10,260 Public Health Centres (Puskesmas), which play a major role in providing health care in the community, recording and reporting health data, using digital Health Information Systems (HIS) and/or manual reports. The utilisation of HIS across Puskesmas is crucial to capture the dynamic evolution of health problems and monitor interventions, thus providing effective primary healthcare services for the community.

Objective:

This paper provides a national-level baseline mapping of HIS utilisation in Indonesian Puskesmas. It evaluates the number of HIS used, associated challenges, and contextual factors influencing system adoption.

Methods:

A cross-sectional survey was carried out covering all Puskesmas across 34 Indonesian provinces between January and February 2022. The questionnaire covered a list of health information systems used by Puskesmas, who developed the HIS, the utilisation and challenges during HIS implementation. Descriptive statistical analysis and bivariate analysis were applied.

Results:

A total of 2,606 (25·5%) Public Health Centres across 34 provinces participated in this study. On average, Puskesmas reported using 30 different HIS platforms, with notable variation across provinces and islands. Most systems (72·94%) were developed by national ministries, though local governments and third parties also contributed.. Despite 91·5% of respondents reporting that HIS aligned with their needs and 90% claiming data use for decision-making, many centres faced operational barriers: 49% of systems required excessive data entry, 33% experienced frequent downtime, and 29% lacked automated analysis features. In terms of the infrastructure supporting HIS implementation, 9·45% of Puskesmas has no access to the internet, while only 31% have access to robust and efficient internet connections. As for the human resources, the study reveals that each health personnel manages up to six different HIS for data reporting tasks, 74·30% of Puskesmas only received training at the initial system's implementation stage, and 80·51% of respondents report the existence of an informal knowledge transfer process among the staff. The bivariate analysis shows that Puskesmas with the characteristics of located in Java island, urban areas, possessed higher accreditation levels, more training and knowledge transfer, had greater chance to utilize >30 HIS.

Conclusions:

This descriptive study highlights substantial fragmentation in Indonesia’s HIS environment and reveals critical disparities in system infrastructure, usability, and workforce capacity. Recommendations should be tailored to different contexts: offline-compatible systems and basic digital literacy training are needed in rural areas, while urban Puskesmas may benefit from advanced integration and analytics tools. Future research should address HIS interoperability, impact assessment, cost-effectiveness, and qualitative user experience through longitudinal and mixed-method studies to guide Indonesia’s digital health transformation.