Ali Feizi, Bahar Hafezi, Saeed Bagheri Faradonbeh, Shahram Tofighi
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The social and economic disparities in oral health variables were broken down into determinant components using the Van Doorslaer and Wagstaff technique.</p><p><strong>Results: </strong>The key factors determining social and economic inequalities in the utilization of these services were insurance status, education level, income quintile, and occupation. Nearly 31% of utilization inequalities can be attributed to the insurance status of households. In addition, the education level of household members (about 28%) was the second factor of inequality. The variables of income quintile and occupation are also considered as the third factor, and the age of household members had a negative role in the socioeconomic inequality.</p><p><strong>Conclusion: </strong>The utilization of oral health services can be improved by improving economic and social variables in society. 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引用次数: 0
摘要
背景:牙科服务使用方面的不平等是全球健康关注的首要问题,而伊朗在这一领域开展的研究很少。因此,本研究旨在对口腔健康服务利用方面的社会经济不平等现象进行分解分析:这是一项横断面研究,采用分层分组抽样法,纳入了 715 个家庭,包括居住在阿瓦士的 2680 人。采用问卷调查的方式收集数据。在数据分析和估算影响因素的弹性时,使用了逻辑模型和 Stata 软件。使用 Van Doorslaer 和 Wagstaff 技术将口腔健康变量中的社会和经济差异分解为决定因素:结果:决定口腔健康服务利用率的社会和经济不平等的关键因素是保险状况、教育水平、收入五分位数和职业。近 31% 的使用不平等可归因于家庭的保险状况。此外,家庭成员的教育水平(约 28%)是造成不平等的第二个因素。收入五分位数和职业变量也被视为第三个因素,而家庭成员的年龄在社会经济不平等中起着负面作用:结论:可以通过改善社会经济和社会变量来提高口腔医疗服务的利用率。因此,将口腔保健服务纳入保险计划和初级保健服务,并为低收入人群提供支持,可在减少这些不平等现象方面发挥重要作用。
Decomposition Analysis of Socioeconomic Inequalities in Utilization of Oral Health Services: A Population-Based Study in Urban and Rural Households of Ahvaz.
Background: Inequality in the use of dental services is a primary concern of global health, and few studies have been done in this field in Iran. Therefore, the present study aimed to conduct a decomposition analysis of socioeconomic inequalities in the utilization of oral health services.
Methods: This was a cross-sectional study in which 715 households, including 2680 people living in Ahvaz, were included using a stratified-cluster sampling. Data were collected using a questionnaire. For data analysis and estimating the elasticity of the influencing factors, the logistic model and Stata software were used. The social and economic disparities in oral health variables were broken down into determinant components using the Van Doorslaer and Wagstaff technique.
Results: The key factors determining social and economic inequalities in the utilization of these services were insurance status, education level, income quintile, and occupation. Nearly 31% of utilization inequalities can be attributed to the insurance status of households. In addition, the education level of household members (about 28%) was the second factor of inequality. The variables of income quintile and occupation are also considered as the third factor, and the age of household members had a negative role in the socioeconomic inequality.
Conclusion: The utilization of oral health services can be improved by improving economic and social variables in society. Therefore, including oral health services in insurance plans and primary health care services and supporting people with low-income levels can play an important role in reducing these inequalities.