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Measuring and decomposing socioeconomic inequality in healthcare delivery: A microsimulation approach with application to the Palestinian conflict-affected fragile setting

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  • Abu-Zaineh, Mohammad
  • Mataria, Awad
  • Moatti, Jean-Paul
  • Ventelou, Bruno

Abstract

Socioeconomic-related inequalities in healthcare delivery have been extensively studied in developed countries, using standard linear models of decomposition. This paper seeks to assess equity in healthcare delivery in the particular context of the occupied Palestinian territory: the West Bank and the Gaza Strip, using a new method of decomposition based on microsimulations. Besides avoiding the 'unavoidable price' of linearity restriction that is imposed by the standard methods of decomposition, the microsimulation-based decomposition enables to circumvent the potentially contentious role of heterogeneity in behaviours and to better disentangle the various sources driving inequality in healthcare utilisation. Results suggest that the worse-off do have a disproportinately greater need for all levels of care. However with the exception of primary-level, utilisation of all levels of care appears to be significantly higher for the better-off. The microsimulation method has made it possible to identify the contributions of factors driving such pro-rich patterns. While much of the inequality in utilisation appears to be caused by the prevailing socioeconomic inequalities, detailed analysis attributes a non-trivial part (circa 30% of inequalities) to heterogeneity in healthcare-seeking behaviours across socioeconomic groups of the population. Several policy recommendations for improving equity in healthcare delivery in the occupied Palestinian territory are proposed.

Suggested Citation

  • Abu-Zaineh, Mohammad & Mataria, Awad & Moatti, Jean-Paul & Ventelou, Bruno, 2011. "Measuring and decomposing socioeconomic inequality in healthcare delivery: A microsimulation approach with application to the Palestinian conflict-affected fragile setting," Social Science & Medicine, Elsevier, vol. 72(2), pages 133-141, January.
  • Handle: RePEc:eee:socmed:v:72:y:2011:i:2:p:133-141
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    Cited by:

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    2. Khaled Makhloufi & Bruno Ventelou & Mohammad Abu-Zaineh, 2015. "Have health insurance reforms in Tunisia attained their intended objectives?," International Journal of Health Economics and Management, Springer, vol. 15(1), pages 29-51, March.
    3. Xin Xie & Qunhong Wu & Yanhua Hao & Hui Yin & Wenqi Fu & Ning Ning & Ling Xu & Chaojie Liu & Ye Li & Zheng Kang & Changzhi He & Guoxiang Liu, 2014. "Identifying Determinants of Socioeconomic Inequality in Health Service Utilization among Patients with Chronic Non-Communicable Diseases in China," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-14, June.
    4. Bertone, Maria Paola & Jowett, Matthew & Dale, Elina & Witter, Sophie, 2019. "Health financing in fragile and conflict-affected settings: What do we know, seven years on?," Social Science & Medicine, Elsevier, vol. 232(C), pages 209-219.
    5. Witter, Sophie, 2012. "Health financing in fragile and post-conflict states: What do we know and what are the gaps?," Social Science & Medicine, Elsevier, vol. 75(12), pages 2370-2377.
    6. Zhao, Guangchuan & Cao, Xinbang & Ma, Chao, 2020. "Accounting for horizontal inequity in the delivery of health care: A framework for measurement and decomposition," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 13-24.
    7. Mohammad Habibullah Pulok & Kees Gool & Mohammad Hajizadeh & Sara Allin & Jane Hall, 2020. "Measuring horizontal inequity in healthcare utilisation: a review of methodological developments and debates," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(2), pages 171-180, March.

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