Herberholz Chantal, Saichol Piraya, Damrongplasit Kannika
Centre of Excellence for Health Economics, Faculty of Economics, Chulalongkorn University, Bangkok, Thailand.
Thai Health Information Standards Development Centre, Nonthaburi, Thailand.
PLoS One. 2025 Apr 8;20(4):e0321468. doi: 10.1371/journal.pone.0321468. eCollection 2025.
Universal population coverage for healthcare was achieved in several countries, including Thailand, while retaining fragmented health insurance schemes. Fragmentation in health financing has been debated since it can exacerbate inequalities, especially when health systems are under stress due to a public health emergency. This study examines whether the type of public health insurance affects outpatient healthcare utilization and out-of-pocket expenditure in Thailand before and during the coronavirus pandemic.
Using the 2019 and 2021 waves of the nationally representative Health and Welfare Survey and a repeated cross-sectional design, logit and multinomial logit models are estimated to investigate the effect of health insurance type on outpatient healthcare utilization (n=10,220), while two-part and Tobit models are employed as alternative models for the analysis of out-of-pocket expenditure (n=12,014). For both healthcare utilization and out-of-pocket expenditure, the study also explores models with and without interactive terms between insurance coverage type and a dummy variable capturing the COVID-19 period.
Type of health insurance is found to impact provider choice (i.e., designated versus non-designated providers) rather than outpatient care utilization per se. Insignificant interaction effects indicate further that the relationship between health insurance type and outpatient care utilization is not affected by the pandemic. The regression results also show that health insurance type is associated with out-of-pocket expenditure (separated into medical and transportation spending) but the magnitude of the effect is relatively small, pre- and peri-pandemic. High-need persons with, for example, chronic conditions, however, face a higher out-of-pocket burden in terms of medical and transportation spending.
Overall, the results suggest that Thailand's universal health coverage system has continued to live up to its promise of access and financial protection in the face of COVID-19, despite existing fragmentation. Notwithstanding, this study highlights that universal health coverage is an ongoing effort that requires careful monitoring, inter alia to mitigate undesirable consequences of fragmentation and to ensure that high-need and other vulnerable persons are not left behind.
包括泰国在内的几个国家实现了全民医疗覆盖,同时保留了分散的医疗保险计划。自卫生筹资碎片化可能加剧不平等以来,一直存在相关争论,尤其是当卫生系统因突发公共卫生事件而面临压力时。本研究考察了在冠状病毒大流行之前及期间,公共医疗保险类型是否会影响泰国的门诊医疗利用和自付费用。
利用2019年和2021年具有全国代表性的健康与福利调查数据以及重复横截面设计,估计logit模型和多项logit模型,以研究医疗保险类型对门诊医疗利用(n = 10220)的影响,同时采用两部分模型和Tobit模型作为分析自付费用(n = 12014)的替代模型。对于医疗利用和自付费用,该研究还探索了包含和不包含保险覆盖类型与一个表示新冠疫情时期的虚拟变量之间交互项的模型。
发现医疗保险类型会影响医疗服务提供者的选择(即指定提供者与非指定提供者),而非门诊医疗利用本身。不显著的交互效应进一步表明,医疗保险类型与门诊医疗利用之间的关系不受大流行的影响。回归结果还表明,医疗保险类型与自付费用(分为医疗和交通支出)相关,但在大流行前和大流行期间,这种影响的程度相对较小。然而,例如患有慢性病等高需求人群在医疗和交通支出方面面临更高的自付负担。
总体而言,结果表明泰国的全民健康覆盖系统在面对新冠疫情时,尽管存在碎片化问题,但仍继续履行其在医疗可及性和财务保护方面的承诺。尽管如此,本研究强调全民健康覆盖是一项持续的工作,需要仔细监测,尤其是要减轻碎片化带来的不良后果,并确保高需求人群和其他弱势群体不被落下。