Literature DB >> 27886527

Universal health coverage at the macro level: Synthetic control evidence from Thailand.

Matthias Rieger1, Natascha Wagner2, Arjun S Bedi3.   

Abstract

As more and more countries are moving towards Universal Health Coverage (UHC), it is important to understand the macro level or aggregate impacts of such a policy. We use synthetic control methods to study the impact of UHC, introduced in Thailand in 2001, on various macroeconomic and health outcomes. Thailand is compared to a weighted average of control countries in terms of aggregate health financing indicators, aggregate health outcomes and economic performance, over the period 1995 to 2012. Our results suggest that UHC helps alleviate the financial consequences of illnesses. The estimated treatment effect of UHC on out-of-pocket payments as a percentage of overall health expenditures is negative 13 percentage points and its effect on annual government per capita health spending is US$ 79. We detect a smaller effect of US$ 60.8 on total health spending per capita which appears with a lag. We document positive health effects as captured by reductions in infant and child mortality. We do not find any effect on GDP and the share of the government budget devoted to health. Overall, our results complement micro evidence based on within country variation. The counterfactual design implemented here may be used to inform other countries on the macro level repercussions of UHC.
Copyright © 2016. Published by Elsevier Ltd.

Entities:  

Keywords:  GDP; Government budget; Health expenditures; Macro impacts; Mortality; Synthetic control approach; Thailand; Universal health coverage

Mesh:

Year:  2016        PMID: 27886527     DOI: 10.1016/j.socscimed.2016.11.022

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  3 in total

1.  Does trade liberalization reduce child mortality in low- and middle-income countries? A synthetic control analysis of 36 policy experiments, 1963-2005.

Authors:  Pepita Barlow
Journal:  Soc Sci Med       Date:  2018-04-06       Impact factor: 5.379

2.  Assessing system-based trainings for primary care teams and quality-of-life of patients with multimorbidity in Thailand: patient and provider surveys.

Authors:  Paibul Suriyawongpaisal; Wichai Aekplakorn; Borwornsom Leerapan; Fatim Lakha; Samrit Srithamrongsawat; Suparpit von Bormann
Journal:  BMC Fam Pract       Date:  2019-06-17       Impact factor: 2.497

3.  Can additional funding improve mental health outcomes? Evidence from a synthetic control analysis of California's millionaire tax.

Authors:  Michael Thom
Journal:  PLoS One       Date:  2022-07-27       Impact factor: 3.752

  3 in total

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