The Airlangga Centre for Health Policy, Kampus C Mulyorejo, Surabaya 60115, Indonesia.
Department of Health Policy and Administration, Faculty of Public Health Universitas Airlangga, Kampus C Mulyorejo, Surabaya 60115, Indonesia.
Int Health. 2021 Dec 1;13(6):545-554. doi: 10.1093/inthealth/ihaa104.
Several large-scale reforms, including policies aimed at achieving universal health coverage, have been implemented to overcome health disparities in Indonesia. However, access to health services remains unequal. Many people 'bypass' health services in their home district to access health services in neighbouring districts, even though their health insurance does not cover such services. This study aims to identify the factors that are associated with this out-of-district bypassing behaviour.
We surveyed 500 respondents living in the outermost districts of East Java province. We used data on education, income, district, age, gender, household size, district accessibility, insurance coverage status and satisfaction with health facilities in the home district and logistic regression analysis to model the predictors of out-of-district health facility bypassing.
The most important predictors of the bypassing behaviour were education and poor access to health facilities in the home district. Open-ended data also found that the most important reason for seeking care in another district was mostly geographic. In contrast, health insurance coverage does not appear to be a significant predictor.
Education and geographic factors are the main predictors of out-of-district bypassing behaviour, which appears to be how border communities express their health facility preferences. Local and central governments should continue their work to reduce inequality in access to health facilities in Indonesia's geographically challenged districts.
印度尼西亚实施了几项大规模改革,包括旨在实现全民健康覆盖的政策,以克服卫生方面的差距。然而,获得卫生服务的机会仍然不平等。许多人“绕过”其所在地区的卫生服务,前往邻近地区获得卫生服务,尽管他们的医疗保险不涵盖此类服务。本研究旨在确定与这种跨区就医行为相关的因素。
我们调查了东爪哇省最偏远地区的 500 名受访者。我们使用了有关教育、收入、地区、年龄、性别、家庭规模、地区可达性、保险覆盖状况以及对原籍地区卫生设施的满意度的数据,采用逻辑回归分析对跨区卫生机构就医行为的预测因素进行建模。
教育和原籍地区卫生设施获取机会差是这种就医行为的最重要预测因素。开放式数据还发现,在另一个地区寻求医疗的最重要原因主要是地理位置。相比之下,医疗保险覆盖似乎不是一个重要的预测因素。
教育和地理因素是跨区就医行为的主要预测因素,这似乎是边境社区表达其对卫生机构偏好的方式。地方和中央政府应继续努力,减少印度尼西亚地理条件较差地区获得卫生设施方面的不平等。