{"title":"Sociodemographic factors and health digital divide among urban residents: Evidence from a population-based survey in China.","authors":"Yanbin Yang, Chengyu Ma","doi":"10.1177/20552076241271812","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The deep integration of digital technology and healthcare services has propelled the healthcare system into the era of digital health. However, vulnerable populations in the field of information technology, they face challenges in benefiting from the digital dividends brought by digital health, leading to the emerging phenomenon of the \"health digital divide.\"</p><p><strong>Methods: </strong>This study utilized the sample of 3547 urban from the 2021 Chinese Social Survey data for analysis. Models were constructed with digital access divide, digital usage divide, and digital outcome divide for urban residents, and structural equation modeling was implemented for analysis.</p><p><strong>Results: </strong>The impact β coefficients (95% CI) of urban residents' digital access on the frequency of digital use, internet healthcare utilization, and patient experience were (β = 0.737, <i>P </i>< 0.001), (β = 0.047, <i>P </i>< 0.05), and (β = 0.079, <i>P </i>< 0.001), respectively. Urban elderly groups were at a disadvantage in digital access and usage (β = -0.007, β = -0.024, and β = -0.004), as well as those with lower educational levels (β = 0.109, β = 0.162, and β = 0.045). However, these two factors did not have a significant direct impact on the patient experience in urban areas.</p><p><strong>Conclusions: </strong>The health digital divide of urban residents exhibits a cascading effect, primarily manifested in the digital access and usage divide. To bridge health digital divide among urban residents, efforts must be made to improve digital access and usage among the elderly and those with lower educational levels.</p>","PeriodicalId":51333,"journal":{"name":"DIGITAL HEALTH","volume":null,"pages":null},"PeriodicalIF":2.9000,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11304494/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"DIGITAL HEALTH","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/20552076241271812","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The deep integration of digital technology and healthcare services has propelled the healthcare system into the era of digital health. However, vulnerable populations in the field of information technology, they face challenges in benefiting from the digital dividends brought by digital health, leading to the emerging phenomenon of the "health digital divide."
Methods: This study utilized the sample of 3547 urban from the 2021 Chinese Social Survey data for analysis. Models were constructed with digital access divide, digital usage divide, and digital outcome divide for urban residents, and structural equation modeling was implemented for analysis.
Results: The impact β coefficients (95% CI) of urban residents' digital access on the frequency of digital use, internet healthcare utilization, and patient experience were (β = 0.737, P < 0.001), (β = 0.047, P < 0.05), and (β = 0.079, P < 0.001), respectively. Urban elderly groups were at a disadvantage in digital access and usage (β = -0.007, β = -0.024, and β = -0.004), as well as those with lower educational levels (β = 0.109, β = 0.162, and β = 0.045). However, these two factors did not have a significant direct impact on the patient experience in urban areas.
Conclusions: The health digital divide of urban residents exhibits a cascading effect, primarily manifested in the digital access and usage divide. To bridge health digital divide among urban residents, efforts must be made to improve digital access and usage among the elderly and those with lower educational levels.
背景:数字技术与医疗服务的深度融合,推动医疗系统进入数字健康时代。然而,信息技术领域的弱势群体在享受数字健康带来的数字红利时却面临挑战,导致 "健康数字鸿沟 "现象的出现:本研究利用2021年中国社会调查数据中的3547个城市样本进行分析。构建了城市居民数字获取鸿沟、数字使用鸿沟和数字结果鸿沟模型,并采用结构方程模型进行分析:结果:城镇居民数字接入对数字使用频率、互联网医疗利用率和患者体验的影响β系数(95% CI)为(β=0.737,P P P 结论:城镇居民的健康数字鸿沟表现为 "数字使用鸿沟"、"数字结果鸿沟 "和 "数字结果鸿沟":城市居民的健康数字鸿沟具有连带效应,主要表现在数字接入和使用鸿沟上。要消除城市居民的健康数字鸿沟,必须努力改善老年人和教育水平较低人群的数字接入和使用情况。