Barriers and Considerations in the Design and Implementation of Digital Behavioral Interventions: Qualitative Analysis.

Barriers and Considerations in the Design and Implementation of Digital Behavioral Interventions: Qualitative Analysis.
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数字行为干预措施设计与实施中的障碍及考量因素:定性分析

DOI:
10.2196/34301
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发表时间:
2022-03-30
影响因子:
7.4
通讯作者:
Buis, Lorraine R.
Buis, Lorraine R.
中科院分区:
医学2区
文献类型:
--
作者:
Marcu, Gabriela;Ondersma, Steven J.;Spiller, Allison N.;Broderick, Brianna M.;Kadri, Reema;Buis, Lorraine R.

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数字行为干预因其支持患者诊断和治疗、慢性病自我管理、行为改变和坚持推荐护理的能力而越来越受欢迎。然而,技术技能有限、接触开发人员的机会有限以及成本等挑战阻碍了数字干预开发。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人员那里获得深入的定性反馈,这些反馈涉及他们在设计和实施数字干预时遇到的障碍和关键考虑因素。这项研究旨在了解数字行为干预设计和实施中的障碍,并为开发这些干预措施的研究人员确定关键考虑因素。我们对18名研究人员进行了半结构化的定性访谈,他们要么有设计(但不是编码)数字行为干预的经验,要么与他们一起进行研究研究。参与者是计算机化干预编写系统平台用户的方便样本,该平台是用于构建数字干预内容的现有无代码开发平台,并通过直接电子邮件征集或滚雪球抽样招募。所有采访都是在2020年2月至4月期间通过视频会议进行和录制的。采访的录音由多名编码员转录和主题分析。访谈由18名参与者完成,持续时间为24至65分钟(平均46.9分钟,标准差11.3分钟)。受访者主要是女性(17/18,94%),代表不同的工作角色,从研究人员到项目/研究人员。在访谈中发现了发展数字行为干预的三个关键障碍:缺乏跨学科的理解;接受者的技术获取、基础设施和识字能力存在差异;以及基于证据的面对面互动不能直接转化为数字互动的想法。受访者确定了干预者学会优先考虑的几个关键因素,这些因素有可能克服这些障碍并导致成功的干预。数字行为干预发展的障碍往往是由于缺乏跨学科的理解造成的,这可能导致难以概念化干预、在成本方面不切实际的期望,以及对开发过程的困惑。此外,对研究性研究参与者的特征和获取技术以及将面对面干预转化为数字干预措施的担忧是显而易见的。关于如何与软件开发团队合作的适当培训可能会帮助未来的数字行为干预创建者克服这些障碍,并可能在该领域带来新的、令人兴奋的创新。
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.
DOI: 10.1093/intqhc/mzaa127
发表时间: 2021-01-12
期刊: International journal for quality in health care : journal of the International Society for Quality in Health Care
影响因子: --
作者:
Melles M;Albayrak A;Goossens R
通讯作者: Goossens R
LGBTIQ+年轻人的数字健康干预措施的有效性,可接受性和可行性:系统评价。
DOI: 10.2196/20158
发表时间: 2020-12-03
影响因子: 7.4
作者:
Gilbey D;Morgan H;Lin A;Perry Y
通讯作者: Perry Y
DOI: 10.2196/34300
发表时间: 2022-03-30
影响因子: 7.4
作者:
Marcu, Gabriela;Ondersma, Steven J.;Spiller, Allison N.;Broderick, Brianna M.;Kadri, Reema;Buis, Lorraine R.
通讯作者: Buis, Lorraine R.
DOI: 10.2196/14567
发表时间: 2019-09-25
影响因子: 7.4
作者:
Baumel, Amit;Muench, Frederick;Kane, John M.
通讯作者: Kane, John M.
DOI: 10.1111/add.14668
发表时间: 2019-09-01
期刊: ADDICTION
影响因子: 6
作者:
Olmstead, Todd A.;Yonkers, Kimberly A.;Martino, Steve
通讯作者: Martino, Steve