Geographical health inequalities in India: the impact of the COVID-19 pandemic on healthcare access and healthcare inequality.

IF 1 Q4 HEALTH POLICY & SERVICES
Parvathi Jayaprakash, Rupsa Majumdar, Somnath Ingole
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引用次数: 0

Abstract

Purpose: With an emphasis on spatial health disparities, this study examines how COVID-19 has affected healthcare access and inequality in India. The study developed the Healthcare Access Index (HAI) and Healthcare Inequality Index (HII) to assess the pandemic's effects on healthcare. The study addresses spatial health disparities in healthcare access and inequality, filling gaps in the literature. The final aim of the study is to offer policy suggestions to lessen healthcare inequities in India, particularly in the context of COVID-19.

Design/methodology/approach: The study incorporates secondary data from publicly accessible databases such as the National Family Health Survey, Niti-Ayog and Indian Census databases and employs a quantitative research design. The impact of the COVID-19 pandemic on healthcare access and healthcare inequality in India is examined using the HAI and the HII. The five dimensions of healthcare access - availability, accessibility, accommodation, cost and acceptability - were used in developing the HAI. The study uses a panel data analysis methodology to examine the HAI and HII scores for 19 states over the pre-COVID-19 (2015) and post-COVID-19 (2020) periods. In order to investigate the connection between healthcare access, healthcare inequality and the COVID-19 pandemic, the analysis employs statistical tests such as descriptive statistics, correlation analysis, factor analysis and visualization analysis.

Findings: According to the study, COVID-19 impacted healthcare access and inequality in India, with notable regional inequalities between states. The pandemic has increased healthcare disparities by widening the gap between states with high and low HII ratings. Healthcare access is closely tied to healthcare inequality, with lower levels of access being associated with more significant levels of inequality. The report advises governmental initiatives to lessen healthcare disparities in India, such as raising healthcare spending, strengthening healthcare services in underperforming states and enhancing healthcare infrastructure.

Practical implications: For Indian healthcare authorities and practitioners, the study has significant ramifications. In light of the COVID-19 pandemic, there has been a main focus on addressing geographic gaps in healthcare access and inequality. The report suggests upgrading transportation infrastructure, lowering out-of-pocket costs, increasing health insurance coverage and enhancing healthcare infrastructure and services in underperforming states. The HAI and the HII are tools that policymakers can use to identify states needing immediate attention and appropriately spend resources. These doable recommendations provide a framework for lowering healthcare disparities in India and enhancing healthcare outcomes for all communities.

Originality/value: The study's originality resides in establishing the HAI and HII indices, using panel data analysis and assessing healthcare inequality regarding geographic disparities. Policy choices targeted at lowering healthcare disparities and enhancing healthcare outcomes for all people in India can be informed by the study's practical consequences.

印度的地域卫生不平等:COVID-19 大流行病对医疗服务的获取和医疗不平等的影响。
目的:本研究以空间健康差异为重点,探讨 COVID-19 如何影响印度的医疗服务获取和不平等。研究开发了医疗保健获取指数 (HAI) 和医疗保健不平等指数 (HII),以评估大流行病对医疗保健的影响。该研究探讨了医疗保健获取和不平等方面的空间健康差异,填补了文献空白。研究的最终目的是提出政策建议,以减少印度的医疗保健不平等现象,特别是在 COVID-19 的背景下:本研究采用定量研究设计,从全国家庭健康调查、Niti-Ayog 和印度人口普查数据库等可公开访问的数据库中获取二手数据。研究使用 HAI 和 HII 研究了 COVID-19 大流行对印度医疗保健获取和医疗保健不平等的影响。在开发 HAI 时,使用了医疗保健可及性的五个维度--可用性、可及性、便利性、成本和可接受性。研究采用面板数据分析方法,考察了 19 个邦在 COVID-19 前(2015 年)和 COVID-19 后(2020 年)期间的 HAI 和 HII 分数。为了研究医疗保健可及性、医疗保健不平等与 COVID-19 大流行之间的联系,分析采用了描述性统计、相关性分析、因素分析和可视化分析等统计检验方法:根据研究,COVID-19 对印度的医疗保健获取和不平等产生了影响,各邦之间存在明显的地区不平等。大流行病扩大了健康保险指数高的邦和低的邦之间的差距,从而加剧了医疗保健的不平等。医疗保健的可及性与医疗保健的不平等密切相关,可及性越低,不平等程度越严重。报告建议政府采取各种措施来缩小印度的医疗差距,如增加医疗支出、加强表现不佳的邦的医疗服务以及改善医疗基础设施:对于印度医疗机构和从业人员而言,该研究具有重要意义。鉴于 COVID-19 大流行,解决医疗服务的地域差距和不平等问题已成为主要焦点。报告建议升级交通基础设施,降低自付费用,扩大医疗保险覆盖面,并在表现不佳的州加强医疗基础设施和服务。健康风险指数和健康保险指数是决策者可以用来确定需要立即关注的州并合理使用资源的工具。这些可行的建议为降低印度的医疗差距和提高所有社区的医疗成果提供了一个框架:该研究的独创性在于建立了 HAI 和 HII 指数,使用了面板数据分析,并评估了地域差异方面的医疗保健不平等。该研究的实际结果可为印度降低医疗保健差距和提高全民医疗保健成果的政策选择提供参考。
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
CiteScore
4.00
自引率
6.70%
发文量
6
期刊介绍: ■Successful quality/continuous improvement projects ■The use of quality tools and models in leadership management development such as the EFQM Excellence Model, Balanced Scorecard, Quality Standards, Managed Care ■Issues relating to process control such as Six Sigma, Leadership, Managing Change and Process Mapping ■Improving patient care through quality related programmes and/or research Articles that use quantitative and qualitative methods are encouraged.
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