远程数字服务对长期皮肤科随访人群中医疗不平等现象的影响:横断面问卷调查研究

Q3 Medicine JMIR dermatology Pub Date : 2023-12-08 DOI:10.2196/48981
S. Ramjee, Hanen Mohamedthani, Aditya Umeshkumar Patel, Rebeca Goiriz, Catherine A Harwood, Richard H Osborne, Christina Cheng, Z. Hasan
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引用次数: 0

摘要

鉴于国家卫生服务体系扩大了远程数字皮肤科服务,特别是在2019冠状病毒病大流行期间,需要制定方法来识别面临数字排斥风险的患者,以指导服务协同设计过程中的公平代表性,并根据患者群体的需求定制远程服务。这一质量改进项目旨在为重新设计远程服务提供信息,以最佳方式支持慢性皮肤病患者的持续需求,确保这些服务符合患者的数字健康素养要求。我们使用健康技术多维准备和实现指数(READHY)问卷以及优化健康素养和获取(Ophelia)过程进行分层聚类分析,对2家专科诊所(英国伦敦)需要长期监测的123名慢性皮肤病患者的数字健康素养进行了分析。对应答参与者(n=116)的READHY维度进行聚类分析,发现7组具有明显的数字和健康素养特征。READHY得分较高的第1组(n=22, 19%)和第2组(n=20, 17.2%)代表那些对管理自己的健康和使用技术有信心的人,而得分较低的第6组(n=4, 3.4%)和第7组(n=12, 10.3%)依赖传统服务。第3组(n= 27,23.3%),第4组(n= 23,19.8%)和第5组(n= 8,6.9%)具有不同的数字技能,访问和参与度,突出了可能从共同设计的皮肤科服务中受益的人群。通过识别具有可区分的数字访问模式和健康素养的患者群体,我们的方法表明,63.8% (n=74)在我们中心的专科诊所就诊的人需要支持以优化远程随访或需要替代方法。未来的工作应该精简READHY问题配置文件,以提高其实用性,并利用焦点小组来引出吸引患者使用数字服务的策略。
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The Effect of Remote Digital Services on Health Care Inequalities Among People Under Long-Term Dermatology Follow-Up: Cross-Sectional Questionnaire Study
Given the expansion of remote digital dermatology services from the National Health Service, particularly during the COVID-19 pandemic, there is a need for methods that identify patients at risk of digital exclusion to guide equitable representation in service co-design processes and tailor remote services to the needs of their patient population. This quality improvement project aims to inform the redesign of remote services to optimally support the ongoing needs of patients with chronic skin diseases, ensuring that the services are tailored to patients’ digital health literacy requirements. We profiled the digital health literacy of 123 people with chronic skin conditions who require long-term surveillance in 2 specialist clinics (London, United Kingdom) using the Multidimensional Readiness and Enablement Index for Health Technology (READHY) questionnaire alongside the Optimizing Health Literacy and Access (Ophelia) process for hierarchical cluster analysis. The cluster analysis of READHY dimensions in responding participants (n=116) revealed 7 groups with distinct digital and health literacy characteristics. High READHY scores in groups 1 (n=22, 19%) and 2 (n=20, 17.2%) represent those who are confident with managing their health and using technology, whereas the lower-scoring groups, 6 (n=4, 3.4%) and 7 (n=12, 10.3%), depended on traditional services. Groups 3 (n=27, 23.3%), 4 (n=23, 19.8%), and 5 (n=8, 6.9%) had varying digital skills, access, and engagement, highlighting a population that may benefit from a co-designed dermatology service. By identifying patient groups with distinguishable patterns of digital access and health literacy, our method demonstrates that 63.8% (n=74) of people attending specialist clinics in our center require support in order to optimize remote follow-up or need an alternative approach. Future efforts should streamline the READHY question profile to improve its practicality and use focus groups to elicit strategies for engaging patients with digital services.
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来源期刊
CiteScore
1.20
自引率
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审稿时长
18 weeks
期刊最新文献
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