Health Economics Research Center, University Research and Innovation Center, Óbuda University, Budapest, Hungary.
Healthcare Research Insights, Inc, Lake Forest, IL, USA.
Value Health. 2024 Apr;27(4):383-396. doi: 10.1016/j.jval.2024.01.009.
Digital health definitions are abundant, but often lack clarity and precision. We aimed to develop a minimum information framework to define patient-facing digital health interventions (DHIs) for outcomes research.
Definitions of digital-health-related terms (DHTs) were systematically reviewed, followed by a content analysis using frameworks, including PICOTS (population, intervention, comparator, outcome, timing, and setting), Shannon-Weaver Model of Communication, Agency for Healthcare Research and Quality Measures, and the World Health Organization's Classification of Digital Health Interventions. Subsequently, we conducted an online Delphi study to establish a minimum information framework, which was pilot tested by 5 experts using hypothetical examples.
After screening 2610 records and 545 full-text articles, we identified 101 unique definitions of 67 secondary DHTs in 76 articles, resulting in 95 different patterns of concepts among the definitions. World Health Organization system (84.5%), message (75.7%), intervention (58.3%), and technology (52.4%) were the most frequently covered concepts. For the Delphi survey, we invited 47 members of the ISPOR Digital Health Special Interest Group, 18 of whom became the Delphi panel. The first, second, and third survey rounds were completed by 18, 11, and 10 respondents, respectively. After consolidating results, the PICOTS-ComTeC acronym emerged, involving 9 domains (population, intervention, comparator, outcome, timing, setting, communication, technology, and context) and 32 optional subcategories.
Patient-facing DHIs can be specified using PICOTS-ComTeC that facilitates identification of appropriate interventions and comparators for a given decision. PICOTS-ComTeC is a flexible and versatile tool, intended to assist authors in designing and reporting primary studies and evidence syntheses, yielding actionable results for clinicians and other decision makers.
数字健康的定义很多,但往往缺乏清晰度和准确性。我们旨在制定一个最小信息框架来定义面向患者的数字健康干预措施(DHIs),以进行结果研究。
系统地回顾了与数字健康相关术语(DHTs)的定义,然后使用包括 PICOTS(人群、干预、对照、结局、时间和地点)、香农-韦弗沟通模型、医疗保健研究和质量措施机构以及世界卫生组织数字健康干预分类在内的框架进行内容分析。随后,我们进行了在线 Delphi 研究,以建立一个最小信息框架,并通过 5 名专家使用假设示例对其进行了试点测试。
在筛选了 2610 条记录和 545 篇全文文章后,我们从 76 篇文章中确定了 67 个二级 DHT 的 101 个独特定义,导致定义中的概念有 95 种不同的组合。世界卫生组织系统(84.5%)、消息(75.7%)、干预(58.3%)和技术(52.4%)是最常涵盖的概念。对于 Delphi 调查,我们邀请了 ISPOR 数字健康特别兴趣小组的 47 名成员,其中 18 名成为 Delphi 小组。第一轮、第二轮和第三轮调查分别完成了 18、11 和 10 名受访者的调查。在整合结果后,出现了 PICOTS-ComTeC 首字母缩写词,涉及 9 个领域(人群、干预、对照、结局、时间、地点、沟通、技术和环境)和 32 个可选子类别。
使用 PICOTS-ComTeC 可以指定面向患者的 DHIs,有助于为特定决策确定适当的干预措施和对照措施。PICOTS-ComTeC 是一种灵活且多功能的工具,旨在帮助作者设计和报告原始研究和证据综合,为临床医生和其他决策者提供可操作的结果。