School of Information, University of Michigan, Ann Arbor, MI, United States.
Department of Obstetrics, Gynecology, & Reproductive Biology and the Division of Public Health, Michigan State University, East Lansing, MI, United States.
J Med Internet Res. 2022 Mar 30;24(3):e34301. doi: 10.2196/34301.
Digital behavioral interventions have become increasingly popular for their ability to support patient diagnosis and treatment, chronic disease self-management, behavior change, and adherence to recommended care. However, digital intervention development is impeded by challenges such as limited technical skills, limited access to developers, and cost. The purpose of this study is to elicit in-depth qualitative feedback from intervention developers who have interest in digital behavioral interventions but lack programming skills regarding the barriers they experience and key considerations in the design and implementation of digital interventions.
This study aims to understand barriers in the design and implementation of digital behavioral interventions, as well as to identify key considerations for researchers who are developing these interventions.
We conducted semistructured qualitative interviews with 18 researchers who had experience either designing (but not coding) digital behavioral interventions or running research studies with them. Participants were a convenience sample of users of the Computerized Intervention Authoring System platform, an existing no-code development platform for building digital intervention content, and were recruited through either direct email solicitation or snowball sampling. All interviews were conducted and recorded over videoconference between February and April 2020. Recordings from interviews were transcribed and thematically analyzed by multiple coders.
Interviews were completed with 18 participants and lasted between 24 and 65 (mean 46.9, SD 11.3) minutes. Interviewees were predominantly female (17/18, 94%) and represented different job roles, ranging from researcher to project/study staff. Three key barriers in the development of digital behavior interventions were identified during interviews: lack of cross-disciplinary understanding; variability in recipients' technology access, infrastructure, and literacy; and the idea that evidence-based in-person interactions do not translate directly to digital interactions. Interviewees identified several key considerations that interventionists learned to prioritize, which have the potential to overcome these barriers and lead to successful interventions.
Barriers in the development of digital behavioral interventions are often created by a lack of cross-disciplinary understanding, which can lead to difficulties conceptualizing interventions, unrealistic expectations in terms of cost, and confusion about the development process. Moreover, concerns about research study participant characteristics and access to technology, as well as the translation of in-person interventions to digital, are apparent. Appropriate training in how to work with software development teams may help future digital behavior intervention creators overcome these barriers and may lead to new, exciting innovations in this space.
数字行为干预因其支持患者诊断和治疗、慢性病自我管理、行为改变以及遵循推荐护理的能力而变得越来越受欢迎。然而,数字干预的发展受到了一些挑战的阻碍,例如有限的技术技能、有限的开发人员访问权限以及成本。本研究的目的是从对数字行为干预感兴趣但缺乏编程技能的干预开发者那里获得深入的定性反馈,了解他们在设计和实施数字干预时所经历的障碍,以及在设计和实施数字干预时的关键考虑因素。
本研究旨在了解数字行为干预设计和实施中的障碍,并确定开发这些干预措施的研究人员的关键考虑因素。
我们对 18 名研究人员进行了半结构化定性访谈,这些研究人员要么设计(但不编写代码)数字行为干预,要么使用这些干预进行研究。参与者是计算机化干预创作系统平台的现有无代码开发平台的用户,该平台是构建数字干预内容的现有无代码开发平台,通过直接电子邮件邀请或滚雪球抽样招募。所有访谈均在 2020 年 2 月至 4 月期间通过视频会议进行和记录。对访谈记录进行了转录,并由多名编码员进行了主题分析。
完成了 18 名参与者的访谈,访谈时间从 24 分钟到 65 分钟(平均 46.9 分钟,SD 11.3 分钟)不等。受访者主要为女性(17/18,94%),代表不同的工作角色,从研究人员到项目/研究人员。访谈中确定了数字行为干预发展中的三个关键障碍:缺乏跨学科理解;接受者的技术获取、基础设施和读写能力的差异;以及基于证据的人际互动不能直接转化为数字互动的观点。受访者确定了一些干预者学会优先考虑的关键考虑因素,这些因素有可能克服这些障碍,并导致成功的干预。
数字行为干预开发中的障碍通常是由于缺乏跨学科理解造成的,这可能导致干预概念化方面的困难、成本方面的不切实际的期望以及对开发过程的混淆。此外,人们对研究参与者的特征和技术获取以及将面对面干预转化为数字干预的关注显而易见。在如何与软件开发团队合作方面进行适当的培训,可能有助于未来的数字行为干预创建者克服这些障碍,并可能为这一领域带来新的、令人兴奋的创新。