Evidence map›Paper›PMID 42774258›Full record

ArticleFrontiers in public health2026

Income-related inequalities and decomposition of outpatient healthcare utilization in Saudi Arabia.

Khaled Shaeel Althabaiti, Monica Hunsberger, Sayem Ahmed, Jahangir Khan

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Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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4 authors.

Khaled Shaeel AlthabaitiSchool of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Monica HunsbergerSchool of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Sayem AhmedHealth Economics Research Group (HERG), Department of Health Sciences, Brunel University London, Uxbridge, London, United Kingdom.
Jahangir KhanSchool of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Kingdom of Saudi Arabia (KSA) has a dual health coverage system comprising government health coverage (GHC) and private health insurance (PHI). Evidence remains limited on how coverage type and socioeconomic status are associated with outpatient utilization, how utilization is distributed across income groups, and the extent to which income-related inequality is associated with need and non-need factors of healthcare utilization. Objective: To estimate and decompose income-related inequality in outpatient healthcare utilization in KSA by health coverage type and need and non-need factors of healthcare utilization. Methods: We analyzed data from the 2018 Saudi Family Health Survey, a nationally representative sample of 8,057 adults aged ≥19 years. Outpatient service utilization in the past 12 months was categorized as a binary variable (0 = no, 1 = yes). Monthly household income was used as the socioeconomic ranking variable in the inequality and decomposition analyses. Income-related inequality was measured using the Erreygers Concentration Index (ECI). A decomposition analysis was then performed to estimate the contributions of need and non-need factors, classified using Andersen's Behavioral Model. These factors included health coverage types categorized as GHC or PHI, demographic, and health-related factors. Results: Outpatient utilization showed a significant overall pro-rich inequality (ECI = 0.122, Conclusion: Outpatient utilization in KSA showed significant pro-rich income-related inequality. This inequality was more pronounced within PHI than within GHC, particularly among non-Saudis and those with primary and intermediate education. Saudi nationality was the largest positive contributor, while PHI made a small negative contribution to overall inequality. These findings highlight the importance of evaluating Vision 2030 health coverage reforms not only by coverage expansion, but also by whether they reduce inequalities in outpatient healthcare utilization across income groups, supporting progress toward UHC.

Indexed as

Ambulatory CareHealthcare DisparitiesIncomePatient Acceptance of Health CareAdultAgedFemaleHumansInsurance, HealthMaleMiddle AgedSaudi ArabiaSocioeconomic Disparities in HealthSocioeconomic FactorsYoung Adultconcentration indexprivate health insuranceSaudi Arabiauniversal health coveragevision 2030

Identifiers

PMID42774258
PMCPMC13593850

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