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BMC Public Health. 2022 Sep 22;22(1):1798. doi: 10.1186/s12889-022-14189-3.
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Does Husband's Education Level Matter to Antenatal Care Visits? A Study on Poor Households in Indonesia.丈夫的教育水平对产前检查有影响吗?一项针对印度尼西亚贫困家庭的研究。
Indian J Community Med. 2022 Apr-Jun;47(2):192-195. doi: 10.4103/ijcm.ijcm_981_21. Epub 2022 Jul 11.
4
Patient satisfaction and its health provider-related determinants in primary health facilities in rural China.中国农村基层卫生机构的患者满意度及其与卫生提供者相关的决定因素。
BMC Health Serv Res. 2022 Jul 26;22(1):946. doi: 10.1186/s12913-022-08349-9.
5
Barriers to Expanding the National Health Insurance Membership in Indonesia: Who Should the Target?印度尼西亚扩大国家健康保险参保人数的障碍:目标人群是谁?
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7
Hospital utilization in Indonesia in 2018: do urban-rural disparities exist?2018 年印度尼西亚的医院利用情况:城乡差距是否存在?
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8
Socioeconomic Disparities in Hospital Utilization Among Female Workers in Indonesia: A Cross-Sectional Study.印度尼西亚女性工人的医院利用中的社会经济差异:一项横断面研究。
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印度尼西亚爪哇地区初级医疗保健利用的区域差异。

Regional differences in primary healthcare utilization in Java Region-Indonesia.

机构信息

Faculty of Public Health, Universitas Airlangga, Surabaya, Indonesia.

The Airlangga Centre for Health Policy (ACeHAP), Surabaya, Indonesia.

出版信息

PLoS One. 2023 Mar 27;18(3):e0283709. doi: 10.1371/journal.pone.0283709. eCollection 2023.

DOI:10.1371/journal.pone.0283709
PMID:36972247
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10042337/
Abstract

BACKGROUND

Policymakers must understand primary healthcare utilization disparity to minimize the gap because they must seek fair service for every citizen. The study analyzes regional differences in primary healthcare utilization in Java Region-Indonesia.

METHODS

The cross-sectional research analyzes secondary data from the 2018 Indonesian Basic Health Survey. The study setting represented Java Region-Indonesia, and the participants were adults 15 years or more. The survey explores 629,370 respondents. The study used primary healthcare utilization as an outcome variable and province as the exposure variable. Moreover, the study employed eight control variables (residence, age, gender, education, marital, employment, wealth, and insurance). The study evaluated data using binary logistic regression in the final step.

RESULTS

People in Jakarta are 1.472 times more likely to utilize primary healthcare than those in Banten (AOR 1.472; 95% CI 1.332-1.627). People in Yogyakarta are 1.267 times more likely to use primary healthcare than those in Banten (AOR 1.267; 95% CI 1.112-1.444). In addition, people in East Java are 15% less likely to utilize primary healthcare than those in Banten (AOR 0.851; 95% CI 0.783-0.924). Meanwhile, direct healthcare utilization was the same between West Java, Central Java, and Banten Province. They are sequentially starting from the minor primary healthcare utilization: East Java, Central Java, Banten, West Java, Yogyakarta, and Jakarta.

CONCLUSION

Disparities between regions exist in the Java Region-Indonesia. They are sequentially starting from the minor primary healthcare utilization: East Java, Central Java, Banten, West Java, Yogyakarta, and Jakarta.

摘要

背景

政策制定者必须了解初级保健利用的差异,以缩小差距,因为他们必须为每个公民提供公平的服务。本研究分析了印度尼西亚爪哇地区初级保健利用的区域差异。

方法

这项横断面研究分析了 2018 年印度尼西亚基本健康调查的二级数据。研究地点代表印度尼西亚爪哇地区,参与者为 15 岁及以上的成年人。该调查共对 629370 名受访者进行了调查。本研究将初级保健的利用作为因变量,将省份作为暴露变量。此外,研究还使用了 8 个控制变量(居住地、年龄、性别、教育、婚姻、就业、财富和保险)。在最后一步,研究采用二元逻辑回归评估数据。

结果

与万丹省相比,雅加达居民利用初级保健的可能性高 1.472 倍(AOR 1.472;95%CI 1.332-1.627)。日惹居民利用初级保健的可能性高 1.267 倍(AOR 1.267;95%CI 1.112-1.444)。此外,东爪哇居民利用初级保健的可能性比万丹省低 15%(AOR 0.851;95%CI 0.783-0.924)。同时,西爪哇、中爪哇和万丹省的直接医疗保健利用情况相同。它们的初级保健利用率依次为:东爪哇、中爪哇、万丹、西爪哇、日惹和雅加达。

结论

印度尼西亚爪哇地区存在地区间差异。它们的初级保健利用率依次为:东爪哇、中爪哇、万丹、西爪哇、日惹和雅加达。