The influence of digital health technology on the allocation of regional medical resources in China

IF 3.4 3区医学 Q1 HEALTH POLICY & SERVICES

Health Policy and Technology Pub Date : 2025-04-08 DOI:10.1016/j.hlpt.2025.101013

Shuqing Chen , Kee-hung Lai , Xitong Guo , Xiaofei Zhang

{"title":"The influence of digital health technology on the allocation of regional medical resources in China","authors":"Shuqing Chen , Kee-hung Lai , Xitong Guo , Xiaofei Zhang","doi":"10.1016/j.hlpt.2025.101013","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><div>Digital health as a service innovation benefits society. However, because of a wide variance in information literacy among individuals, reliance on this technology raises more medical equity issues. This study investigates whether digital health service innovation improves the allocation of medical resources at the regional level in China.</div></div><div><h3>Methods</h3><div>This study collected data from the China Statistical Yearbook and China Health Statistical Yearbook from 2011 to 2020 and an online health service. Then, using the Gini index and a thermal map to analyze the impact of service innovation with digital health on the allocation of medical resources.</div></div><div><h3>Results</h3><div>The results demonstrate that, overall, service innovation with digital health has indeed alleviated the problem of allocation of medical resources, especially in terms of solving the problem of medical resource accessibility in remote or rural areas characterized by poor development. However, at the level of refinement, high-quality medical resources tend to accumulate in economically developed regions. In particular, online high-quality medical resources are concentrated in economically developed first-tier cities. Thus, especially for vulnerable groups, this kind of service innovation with digital health will exacerbate the problem of allocation of medical resources due to the intergenerational digital health literacy divide.</div></div><div><h3>Conclusion</h3><div>Analysis of the advantages and disadvantages of service innovation with digital health is conducive to rational use of medical resources and value creation.</div></div>","PeriodicalId":48672,"journal":{"name":"Health Policy and Technology","volume":"14 3","pages":"Article 101013"},"PeriodicalIF":3.4000,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Policy and Technology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211883725000413","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}

引用次数: 0

Abstract

Objectives

Digital health as a service innovation benefits society. However, because of a wide variance in information literacy among individuals, reliance on this technology raises more medical equity issues. This study investigates whether digital health service innovation improves the allocation of medical resources at the regional level in China.

Methods

This study collected data from the China Statistical Yearbook and China Health Statistical Yearbook from 2011 to 2020 and an online health service. Then, using the Gini index and a thermal map to analyze the impact of service innovation with digital health on the allocation of medical resources.

Results

The results demonstrate that, overall, service innovation with digital health has indeed alleviated the problem of allocation of medical resources, especially in terms of solving the problem of medical resource accessibility in remote or rural areas characterized by poor development. However, at the level of refinement, high-quality medical resources tend to accumulate in economically developed regions. In particular, online high-quality medical resources are concentrated in economically developed first-tier cities. Thus, especially for vulnerable groups, this kind of service innovation with digital health will exacerbate the problem of allocation of medical resources due to the intergenerational digital health literacy divide.

Conclusion

Analysis of the advantages and disadvantages of service innovation with digital health is conducive to rational use of medical resources and value creation.

查看原文本刊更多论文

求助全文

约1分钟内获得全文求助全文

来源期刊

Health Policy and Technology Medicine-Health Policy

CiteScore

9.20

自引率

3.30%

发文量

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