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ORIGINAL RESEARCH article

Front. Glob. Women’s Health

Sec. Quality of Life

Volume 6 - 2025 | doi: 10.3389/fgwh.2025.1580888

Exploring Disparities in Satisfaction with Obstetric-Gynecological Care Among Insured and Uninsured Women in Almaty, Kazakhstan: A Comparative Cross-Sectional Study

Provisionally accepted
Sholpan  AliyevaSholpan Aliyeva1,2Vyacheslav  LokshinVyacheslav Lokshin3Maksut  KamalievMaksut Kamaliev4Sholpan  SarmuldayevaSholpan Sarmuldayeva5Gani  KaldybayevGani Kaldybayev6Oxana  TsigengagelOxana Tsigengagel7*
  • 1Department of Clinical Disciplines, Kazakhstan’s Medical University “Kazakhstan School of Public Health,”, Almaty, Kazakhstan
  • 2Department of Gynecological, JSC Central Clinical Hospital,, Almaty, Kazakhstan
  • 3Department of Assisted Reproductive Technologies, International Clinical Centre of Reproduction “PERSONA,”, Almaty, Kazakhstan
  • 4Department of Health Management, Kazakhstan’s Medical University “Kazakhstan School of Public Health”, Almaty, Kazakhstan
  • 5Department of Medicine, Al-Farabi Kazakh National University, Almaty, Kazakhstan
  • 6Birth Center, Karasay Clinical Multidisciplinary Central District Hospital, Karasay, Kazakhstan
  • 7Department of Biostatistics, Bioinformatics, and Information Technologies, Astana Medical University, Astana, Kazakhstan

The final, formatted version of the article will be published soon.

Abstract BackgroundPatient satisfaction is a key indicator of healthcare quality. Although crucial, limited research has explored factors contributing to satisfaction disparities in outpatient obstetric-gynecological care, particularly in Kazakhstan. The objective of the study is to explore disparities in satisfaction with obstetric-gynecological care between insured and uninsured women in Almaty, Kazakhstan, and to identify the key determinants of patient satisfaction.MethodsA cross-sectional survey was conducted among 107 insured and uninsured patients over three months in early 2024 at a hospital in the Almaty region, Kazakhstan. Using a five-point Likert scale, a structured questionnaire assessed socio-demographics, patient-reported experiences with the care process, and overall satisfaction across 16 dimensions. The survey instrument was pilot-tested and demonstrated strong internal consistency (Cronbach’s alpha = 0.83). Chi-square tests examined associations, and multivariable logistic regression identified key predictors of patient satisfaction.ResultsA multivariable analysis revealed a "satisfaction paradox": insured patients had lower odds of being satisfied compared to uninsured patients (AOR = 0.15, 95% CI: 0.03–0.81). Specifically, a lack of insurance was associated with higher reported satisfaction in doctor-patient communication (OR = 1.8) and nursing care (OR = 2.1). Other significant predictors of satisfaction included having kidney disease and a shorter hospital stay.ConclusionsOur findings suggest that expanding insurance coverage is necessary for access but insufficient for ensuring patient satisfaction. The observed "satisfaction paradox" highlights that policy must adopt a dual focus: promoting enrolment while simultaneously improving the quality of patient-provider interactions to meet the higher expectations of insured patients.Keywords: Health insurance; patient satisfaction; socioeconomic factors; outpatients, health equity; healthcare disparities; obstetrics and gynecology; Kazakhstan.

Keywords: health insurance, Patient Satisfaction, Socioeconomic Factors, outpatients, health equity, Healthcare Disparities, Obstetrics and Gynecology, Kazakhstan Health insurance, Kazakhstan

Received: 26 Feb 2025; Accepted: 14 Jul 2025.

Copyright: © 2025 Aliyeva, Lokshin, Kamaliev, Sarmuldayeva, Kaldybayev and Tsigengagel. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Oxana Tsigengagel, Department of Biostatistics, Bioinformatics, and Information Technologies, Astana Medical University, Astana, Kazakhstan

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