Catastrophic and Socioeconomic Disparities Across Different Payment Schemes in Lung Cancer Treatment: A Cross-Sectional Single-Centre Analysis from Thailand

Authors

  • Sarayut L. Geater Unit of Respiratory and Respiratory Critical Care Medicine, Department of Internal Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand.
  • Paramee Thongsuksai Department of Pathology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand.

DOI:

https://doi.org/10.31584/jhsmr.2023921

Keywords:

non-small cell lung cancer, catastrophic health expenditure, disparity

Abstract

Objective: To identify the magnitude of catastrophic health expenditure (CHE) and medical impoverishment across three payment schemes and compare the within-scheme financial disparity.
Material and Methods: A cross-sectional analysis of CHE and medical impoverishment among lung cancer patients was conducted at a university hospital in Thailand. A total of 367 lung cancer patients drawn from three payment schemes were included. The clinical data were collected from the hospital’s Electronic Medical Records, while the socioeconomic data, including cost details, were collected via an interview-based questionnaire from November 2020 to June 2022. Economic analyses were performed using concentration curves and logistic regression modeling.
Results: There were 38%, 21% and 27% impoverished patients belonging to the Universal Coverage Scheme (UCS), Social Security Scheme (SSS) and Civil Servant Medical Benefit Scheme (CSMBS), respectively, and approximately further 30% in each scheme became impoverished owing to medical-related expenses. Socioeconomic disparities in CHE; concentration index; CI=-0.36 UCS, -0.59 CSMBS and -0.47 UCS, and medical impoverishment; CI=0.16 UCS, -0.15 CSMBS and 0.10 UCS, were evident in all schemes. These inequities were more pronounced among CSMBS patients. Moreover, if not impoverished already, the probability of medical impoverishment in all payment schemes peaked in the middle quintile and declined thereafter.
Conclusion: Across all payment schemes, CHE and medical impoverishment occurred at rates of around 60% and 30%, respectively, among lung cancer patients in Thailand. The gradient of CHE probability was more prominent among CSMBS patients.

References

Cicin I, Oksuz E, Karadurmus N, Malhan S, Gumus M, Yilmaz U, et al. Economic burden of lung cancer in Turkey: a cost of illness study from payer perspective. Health Econ Rev 2021;11:22.

Vahedi S, Rezapour A, Khiavi FF, Esmaeilzadeh F, Javan-Noughabi J, Almasiankia A, et al. Decomposition of socioeconomic inequality in catastrophic health expenditure: an evidence from Iran. Clin Epidemiol Glob Health 2020;8:437–41.

Leng A, Jing J, Nicholas S, Wang J. Catastrophic health expenditure of cancer patients at the end-of-life: a retrospective observational study in China. BMC Palliat Care 2019;18:43.

Sun C yao, Shi J fang, Fu W qi, Zhang X, Liu G xiang, Chen W qing, et al. Catastrophic health expenditure and its determinants in households with lung cancer patients in China: a retrospective cohort study. BMC Cancer 2021;21:1323.

Fu W, Shi J, Zhang X, Liu C, Sun C, Du Y, et al. Effects of cancer treatment on household impoverishment: a multicentre cross-sectional study in China. BMJ Open 2021;11:e044322.

Zhao Y, Zhang L, Fu Y, Wang M, Zhang L. Socioeconomic disparities in cancer treatment, service utilization and catastrophic health expenditure in china: a cross-sectional analysis. Int J Environ Res Public Health 2020;17:E1327.

Zhang X, Liu S, Liu Y, Du J, Fu W, Zhao X, et al. Economic burden for lung cancer survivors in Urban China. Int J Environ Res Public Health 2017;14:308.

Tangcharoensathien V, Witthayapipopsakul W, Panichkriangkrai W, Patcharanarumol W, Mills A. Health systems development in Thailand: a solid platform for successful implementation of universal health coverage. Lancet 2018;391:1205–23.

Hughes D, Leethongdee S. Universal coverage in the land of smiles: lessons from Thailand’s 30 Baht health reforms. Health Aff (Millwood) 2007;26:999–1008.

Buigut S, Ettarh R, Amendah DD. Catastrophic health expenditure and its determinants in Kenya slum communities. Int J Equity Health 2015;14:46.

O’Donnell O, O’Neill S, Van Ourti T, Walsh B. conindex: Estimation of concentration indices. Stata J 2016;16:112–38.

Jenkins S. Estimation and interpretation of measures of inequality, poverty, and social welfare using Stata [monograph on the Internet]. Stata Users Group; 2008 [cited 2022 Jun 7]. Available from: https://econpapers.repec.org/paper/bocasug06/16.htm

Downloads

Published

2023-04-26

How to Cite

1.
Geater SL, Thongsuksai P. Catastrophic and Socioeconomic Disparities Across Different Payment Schemes in Lung Cancer Treatment: A Cross-Sectional Single-Centre Analysis from Thailand . J Health Sci Med Res [Internet]. 2023 Apr. 26 [cited 2024 Jul. 18];41(3):1-14. Available from: https://he01.tci-thaijo.org/index.php/jhsmr/article/view/263211

Issue

Section

Original Article