Allcock Jake Alan, Zhuang Mengdie, Li Shuyang, Zhao Xin
Department of Sociological Studies, University of Sheffield, Sheffield, United Kingdom.
Information School, University of Sheffield, Sheffield, United Kingdom.
JMIR Form Res. 2024 Apr 19;8:e51859. doi: 10.2196/51859.
In England, digital technologies are exploited to transform the way health and social care is provided and encompass a wide range of hardware devices and software that are used in all aspects of health care. However, little is known about the extent to which health care providers differ in digital health technology capabilities and how this relates to geographical and regional differences in health care capacities and resources.
This paper aims to identify the set of digital technologies that have been deployed by the National Health Services clinical commissioning groups (NHS CCGs) in England. In doing this, we respond to calls to shed light on the internal dynamics and variation in the form of digital capability in England in terms of health service regional differences and health diversity, equity, and inclusion.
We collected 135 annual reports that belong to 106 NHS CCGs in England, comprising more than 18,000 pages in total, released from 2020 to 2021. Using this data set, we identified 2163 pages related to digital technologies and labeled them using content analysis. We follow the construct taxonomy used by digital options theory, a theory from the management information systems field analyzing organizational resource investment choices, in classifying observed technologies according to digital themes-inherent design patterns that we identified and explained. We then used a hierarchical clustering method to extract groups of NHS CCGs that implement similar technology themes.
We found 31 technologies from the reports and grouped them into 9 digital themes. The 9 themes were further assigned to 1 of the 3 constructs of digital options theory, the identification of patients' requirements (we identified information portals [76/106], digital health engagement [67/106], and digital inclusion support [45/106]), the development of new work patterns (we identified telehealth [87/106], telemedicine [35/106], and care home technologies [40/106]), the realization of improvements in efficiency and public accessibility (we identified online booking [26/106], online triage [104/106], and digital mental health services [74/106]). The 3 clusters of CCGs are identified based on the 8 themes (Hopkins=0.9914, silhouette=0.186), namely (1) digitally disengaged, (2) digitally engaged, and (3) digital torchbearer.
Our findings show prominent digital themes within each construct group, namely information portals, telehealth, and online triage, covering people's fundamental health information needs. Almost half of CCGs fell into the digitally disengaged group, and all London CCGs (5/106) belonged to this group. We propose that practitioners should offer specialized assistance to regions with limited digital engagement, emphasizing digital health literacy, inclusion support, and ongoing evaluation, rather than concentrating solely on technical advancements.
在英国,数字技术被用于改变医疗和社会护理的提供方式,涵盖了广泛的硬件设备和软件,这些都应用于医疗保健的各个方面。然而,对于医疗保健提供者在数字健康技术能力方面的差异程度,以及这与医疗保健能力和资源的地理及区域差异之间的关系,我们了解甚少。
本文旨在确定英国国民医疗服务体系临床委托小组(NHS CCGs)所部署的数字技术集。在此过程中,我们回应了相关呼吁,以揭示英国在健康服务区域差异以及健康多样性、公平性和包容性方面,数字能力形式的内部动态和变化情况。
我们收集了2020年至2021年发布的属于英格兰106个NHS CCGs的135份年度报告,共计超过18000页。利用这个数据集,我们识别出与数字技术相关的2163页内容,并通过内容分析对其进行标注。我们遵循管理信息系统领域中数字选择理论所使用的构建分类法,该理论用于分析组织资源投资选择,根据我们识别和解释的数字主题(内在设计模式)对观察到的技术进行分类。然后,我们使用层次聚类方法提取实施类似技术主题的NHS CCGs组。
我们从报告中发现了31项技术,并将它们归为9个数字主题。这9个主题又进一步被归入数字选择理论的3个构建之一,即识别患者需求(我们识别出信息门户[76/106]、数字健康参与[67/106]和数字包容支持[45/106])、开发新的工作模式(我们识别出远程医疗[87/106]、远程医学[35/106]和养老院技术[40/106])、实现效率和公众可及性的提升(我们识别出在线预约[26/106]、在线分诊[104/106]和数字心理健康服务[74/106])。基于这8个主题确定了3个CCGs集群(霍普金斯系数=0.9914,轮廓系数=0.186),即(1)数字脱节型,(2)数字参与型,(3)数字引领型。
我们的研究结果显示,每个构建组内都有突出的数字主题,即信息门户、远程医疗和在线分诊,涵盖了人们基本的健康信息需求。几乎一半的CCGs属于数字脱节型组,所有伦敦的CCGs(5/106)都属于这一组。我们建议从业者应为数字参与有限的地区提供专门帮助,强调数字健康素养、包容支持和持续评估,而不是仅仅专注于技术进步。