The impact of the COVID-19 pandemic on satisfaction with healthcare services in Türkiye

IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES Health Policy and Technology Pub Date : 2024-07-10 DOI:10.1016/j.hlpt.2024.100888
Zeynep B. Uğur , Aysenur Durak
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Abstract

Objectives

This study aims at evaluating whether the healthcare system in Turkey performed well or not from the perspective of patients during the COVID-19 pandemic.

Methods

For this purpose, we compare the satisfaction with healthcare services pre-pandemic and during the pandemic. We utilize the Life Satisfaction Survey conducted by Turkish Statistical Institute (TurkStat) between 2013 and 2021 and employ probit regression method.

Results

The research results do not show any change in satisfaction with healthcare services in the pandemic years of 2020 and 2021. In addition, the satisfaction with healthcare services of people with health conditions, those without health insurance, and those whose premiums are covered by the state (green card holders) did not decrease during the pandemic period. The analysis results reveal that the satisfaction of people over 65 years old and those having health conditions with healthcare services increased during the pandemic period.

Conclusion

When the findings are evaluated as a whole, we can conclude that Turkey performed well from the users’ perspective during the pandemic.

Public interest summary

This study analyzes the impact of the pandemic on satisfaction with healthcare services in Turkey. To do this, we utilize Life Satisfaction Survey between 2013 and 2021. The regression results indicate that satisfaction with healthcare services has not changed during the pandemic. Moreover, we report an increase in satisfaction scores for elderly and those with health conditions in the pandemic years. We also find satisfaction of people without health insurance, and those whose premiums are covered by the state (green card holders) does not change. Our analysis points Turkey did well in managing pandemic period in terms of healthcare services satisfaction.

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COVID-19 大流行对土耳其医疗服务满意度的影响
本研究旨在从患者的角度评估 COVID-19 大流行期间土耳其医疗保健系统的表现是否良好。方法为此,我们比较了大流行前和大流行期间对医疗保健服务的满意度。我们利用土耳其统计研究所(TurkStat)在 2013 年至 2021 年期间进行的生活满意度调查,并采用 probit 回归方法。此外,在大流行期间,有健康状况的人、没有医疗保险的人、保费由国家承担的人(绿卡持有者)对医疗服务的满意度也没有下降。分析结果显示,在大流行期间,65 岁以上人群和有健康问题的人群对医疗服务的满意度有所上升。公共利益摘要本研究分析了大流行对土耳其医疗服务满意度的影响。为此,我们利用了 2013 年至 2021 年间的生活满意度调查。回归结果表明,医疗服务满意度在大流行期间没有发生变化。此外,我们还发现,在大流行期间,老年人和有健康问题的人的满意度得分有所提高。我们还发现,没有医疗保险的人和保费由国家承担的人(绿卡持有者)的满意度没有变化。我们的分析表明,在大流行病管理期间,土耳其的医疗服务满意度表现良好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Health Policy and Technology
Health Policy and Technology Medicine-Health Policy
CiteScore
9.20
自引率
3.30%
发文量
78
审稿时长
88 days
期刊介绍: Health Policy and Technology (HPT), is the official journal of the Fellowship of Postgraduate Medicine (FPM), a cross-disciplinary journal, which focuses on past, present and future health policy and the role of technology in clinical and non-clinical national and international health environments. HPT provides a further excellent way for the FPM to continue to make important national and international contributions to development of policy and practice within medicine and related disciplines. The aim of HPT is to publish relevant, timely and accessible articles and commentaries to support policy-makers, health professionals, health technology providers, patient groups and academia interested in health policy and technology. Topics covered by HPT will include: - Health technology, including drug discovery, diagnostics, medicines, devices, therapeutic delivery and eHealth systems - Cross-national comparisons on health policy using evidence-based approaches - National studies on health policy to determine the outcomes of technology-driven initiatives - Cross-border eHealth including health tourism - The digital divide in mobility, access and affordability of healthcare - Health technology assessment (HTA) methods and tools for evaluating the effectiveness of clinical and non-clinical health technologies - Health and eHealth indicators and benchmarks (measure/metrics) for understanding the adoption and diffusion of health technologies - Health and eHealth models and frameworks to support policy-makers and other stakeholders in decision-making - Stakeholder engagement with health technologies (clinical and patient/citizen buy-in) - Regulation and health economics
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