Research Centre for Preclinical and Clinical Medicine, National Research and Innovation Agency, Cibinong Science Center, Jalan Raya Jakarta-Bogor Km. 46, Kec. Cibinong, Kabupaten Bogor 16915, West Java, Indonesia.
Research Centre for Public Health and Nutrition, National Research and Innovation Agency, Cibinong Science Center, Jalan Raya Jakarta-Bogor Km. 46, Kec. Cibinong, Kabupaten Bogor 16915, West Java, Indonesia.
Int J Environ Res Public Health. 2023 Mar 1;20(5):4384. doi: 10.3390/ijerph20054384.
Although a recording and reporting format for health centers already exists for Indonesia's standard information system, numerous health applications still need to meet the needs of each program. Therefore, this study aimed to demonstrate the potential disparities in information systems in the application and data collection of health programs among Indonesian community health centers (CHCs) based on provinces and regions. This cross-sectional research used data from 9831 CHCs from the Health Facilities Research 2019 (RIFASKES). Significance was assessed using a chi-square test and analysis of variance (ANOVA). The number of applications was depicted on a map using the spmap command with STATA version 14. It showed that region 2, which represented Java and Bali, was the best, followed by regions 1, which comprised Sumatra Island and its surroundings, and 3, Nusa Tenggara. The highest mean, equaling that of Java, was discovered in three provinces of region 1, namely, Jambi, Lampung, and Bangka Belitung. Furthermore, Papua and West Papua had less than 60% for all types of data-storage programs. Hence, there is a disparity in the health information system in Indonesia by province and region. The results of this analysis recommend future improvement of the CHCs' information systems.
尽管印度尼西亚的标准信息系统已经存在针对卫生中心的记录和报告格式，但许多卫生应用程序仍需要满足每个项目的需求。因此，本研究旨在展示印度尼西亚社区卫生中心（CHC）在应用和数据收集方面，基于省份和地区的卫生计划信息系统的潜在差异。这项横断面研究使用了 2019 年卫生设施研究（RIFASKES）中来自 9831 个 CHC 的数据。使用 STATA 版本 14 的 chi-square 检验和方差分析（ANOVA）评估了显著性。应用 spmap 命令将应用程序的数量显示在地图上。结果表明，代表爪哇岛和巴厘岛的第 2 区表现最好，其次是包括苏门答腊岛及其周边地区的第 1 区和努沙登加拉群岛。在第 1 区的三个省份，即占碑省、楠榜省和邦加勿里洞省，发现了最高的平均值，与爪哇岛相当。此外，巴布亚和西巴布亚在所有类型的数据存储程序中的比例都低于 60%。因此，印度尼西亚的卫生信息系统在各省和地区之间存在差异。该分析的结果建议未来改进 CHC 的信息系统。
