Research Center for Public Health and Nutrition, National Research and Innovation Agency Republic of Indonesia, Central Jakarta, Indonesia.
Faculty of Public Health, Universitas Airlangga, Surabaya, Indonesia
BMJ Open. 2023 Jan 3;13(1):e064532. doi: 10.1136/bmjopen-2022-064532.
Policymakers must ensure that the entire population has equal access to health services, and efforts to minimise inequalities are needed. This study aimed to analyse the regional disparities in hospital utilisation in Indonesia.
A cross-sectional study analysing secondary data from the 2018 Indonesian Basic Health Survey.
National-level survey data from Indonesia.
A total of 629 370 participants were included in the study.We employed no interventionThe primary outcome was hospital utilisation. Aside from region, we utilise residence type, age, gender, marital status, educational level, occupation, wealth, insurance and travel time as control variables. We used binary logistic regression in the final analysis RESULTS: The respondents in Sumatra were 1.079 times (95% CI 1.073 to 1.085) more likely than those in Papua to use the hospital. Furthermore, compared with the respondents in Papua, those in the Java-Bali region (1.075 times, 95% CI 1.069 to 1.081), Nusa Tenggara (1.106 times, 95% CI 1.099 to 1.113), Sulawesi (1.008 times, 95% CI 1.002 to 1.014) and Kalimantan (1.212 times, 95% CI 1.205 to 1.219) were more likely to use the hospital. However, those in Maluku were less likely than those in Papua to use the hospital (0.827 times, 95% CI 0.820 to 0.835). Six demographic variables (age, gender, marital status, educational level, occupation and wealth) and three other control variables (residence type, insurance and travel time to the hospital) were found to be associated with hospital utilisation.
Our findings highlight the existence of regional disparities in hospital utilisation in Indonesia.
政策制定者必须确保全体民众平等获得医疗服务,并努力减少不平等现象。本研究旨在分析印度尼西亚医院利用方面的地区差异。
一项使用 2018 年印度尼西亚基本健康调查二级数据的横断面研究。
印度尼西亚国家级调查数据。
共有 629370 名参与者纳入本研究。我们未采取任何干预措施。主要结局是医院利用情况。除地区外,我们还将居住类型、年龄、性别、婚姻状况、教育程度、职业、财富、保险和前往医院的交通时间作为控制变量。最终分析采用二元逻辑回归。
与巴布亚地区的受访者相比,苏门答腊地区的受访者使用医院的可能性高 1.079 倍(95%CI 1.073 至 1.085)。此外,与巴布亚地区的受访者相比,爪哇-巴厘地区(1.075 倍,95%CI 1.069 至 1.081)、努沙登加拉地区(1.106 倍,95%CI 1.099 至 1.113)、苏拉威西地区(1.008 倍,95%CI 1.002 至 1.014)和加里曼丹地区(1.212 倍,95%CI 1.205 至 1.219)使用医院的可能性更高。然而,与巴布亚地区的受访者相比,马鲁古地区的受访者使用医院的可能性更低(0.827 倍,95%CI 0.820 至 0.835)。六个人口统计学变量(年龄、性别、婚姻状况、教育程度、职业和财富)和三个其他控制变量(居住类型、保险和前往医院的交通时间)与医院利用情况相关。
本研究结果突出了印度尼西亚医院利用方面存在的地区差异。