Mitrasevic Milos, Radovanovic Snezana, Radevic Svetlana, Maricic Milena, Macuzic Ivana Zivanović, Kanjevac Tatjana
Department for Organization, Planning, Evaluation and Medical Informatics, Clinical Center Kragujevac, Kragujevac, Serbia.
Department of Social Medicine, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia.
Iran J Public Health. 2020 Sep;49(9):1650-1658. doi: 10.18502/ijph.v49i9.4081.
We aimed to determine the socio-economic factors associated with unmet healthcare needs of the population aged 20 and over in Serbia.
We used data from the 2013 National Health Survey (NHS) of the population of Serbia. We focused only on the data concerning the population aged 20 and over. The final sample thus included 13,765 participants. The logistic regression was used to examine the socio-economic factors associated with unmet health care needs.
According to the data obtained in this study, 26.2% of the population aged 20 and over reported unmet health care needs during the previous 12 months. The multivariate analysis shows that significant indicators of unmet healthcare needs include: gender, age, marital status, level of education, financial and employment status.
Females, the elderly and those with the lowest levels of education and household income, as well as those who are divorced and unemployed are at highest risk of unmet healthcare needs. Different policies and approaches should be taken into consideration when it comes to vulnerable population groups in order to reduce the currently existing gaps to a minimum and provide more equal opportunities for health care to all citizens.
我们旨在确定与塞尔维亚20岁及以上人群未满足的医疗保健需求相关的社会经济因素。
我们使用了塞尔维亚2013年全国健康调查（NHS）中关于人口的数据。我们仅关注与20岁及以上人群有关的数据。最终样本包括13765名参与者。采用逻辑回归分析来研究与未满足的医疗保健需求相关的社会经济因素。
根据本研究获得的数据，20岁及以上人群中有26.2%报告在过去12个月中存在未满足的医疗保健需求。多变量分析表明，未满足医疗保健需求的显著指标包括：性别、年龄、婚姻状况、教育程度、财务和就业状况。
女性、老年人、教育程度和家庭收入最低的人群，以及离婚者和失业者未满足医疗保健需求的风险最高。对于弱势群体，应考虑采取不同的政策和方法，以将目前存在的差距降至最低，并为所有公民提供更平等的医疗保健机会。
