ArticleJournal of medical Internet research2022
Barriers and Considerations in the Design and Implementation of Digital Behavioral Interventions: Qualitative Analysis.
Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 33 citations in OpenAlex.
- Action Planning for Reducing Sugar-Sweetened Beverage Intake in Appalachian Adults: Longitudinal Process Evaluation of a Digital Behavioral Health Intervention.JMIR mHealth and uHealth · 2026Trial
- Serious Games in Nursing Education: Scoping Review of Applications, Effectiveness, and Future Directions.JMIR serious games · 2026Review
- Anticipated barriers and facilitators of implementing a digital behavioral treatment for chronic pain: a qualitative interview study.BMC health services research · 2026Article
- Development of iGET Living, a Digital Graded Exposure Intervention for Youth With Chronic Pain: Multiphase User-Centered Design and Pilot Study.JMIR formative research · 2026Article
- Designing a Self-Guided Digital Intervention for Self-Management of Shoulder Pain in People Living With Spinal Cord Injury: Tutorial on Using a Person-Based Approach.JMIR mHealth and uHealth · 2026Article
- The use of ambient voice technology (AVT) for clinician-patient consultations in healthcare practice: A rapid systematic scoping review.BMJ digital health & AI · 2026Article
- Experiences of technology for increasing physical activity of older adults: a qualitative systematic review and meta-synthesis.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2025Review
- Technology-based interventions to address internet addictive behaviors: systematic review.Discover mental health · 2025Review
- Tracking implementation determinants over time using the IFASIS: multi-site analysis of opioid treatment programs implementing a digital contingency management platform.Implementation science communications · 2025Article
- Podcasts in Mental, Physical, or Combined Health Interventions for Adults: Scoping Review.Journal of medical Internet research · 2025Article
- Using the Healthy Native Youth Implementation Toolbox to Provide Web-Based Adolescent Health Promotion Decision Support to American Indian and Alaska Native Communities: Implementation Study.JMIR formative research · 2025Article
- Interventions to improve quality of life and knowledge in Hypersensitivity Pneumonitis, a survey of clinician practices and perspectives.CHEST pulmonary · 2024Article
- Review: Preventing Psychopathology in the Digital Age: Leveraging Technology to Target Coping and Emotion Regulation in Adolescents.JAACAP open · 2024Review
- Technologic and Nontechnologic Barriers to Implementing Behavioral Health Homes in Community Mental Health Settings During the COVID-19 Pandemic.Ethnicity & disease · 2023Article
- Preventing alcohol use post-bariatric surgery: patient perspectives on a technology-based approach.Surgical endoscopy · 2023Article
- How Could Sensor-Based Measurement of Physical Activity Be Used in Cardiovascular Healthcare?Sensors (Basel, Switzerland) · 2023Review
- A Novel Mobile App for Personalized Dietary Advice Leveraging Persuasive Technology, Computer Vision, and Cloud Computing: Development and Usability Study.JMIR formative research · 2023Article
- Exploring mHealth applications for self-management of chronic low back pain: A survey of features and benefits.Heliyon · 2023Review
- Teleservices use among Latinx immigrant families during the Covid-19 pandemic.Children and youth services review · 2023Article
- Quality of Life and Physical Activity in 629 Individuals With Sarcoidosis: Prospective, Cross-sectional Study Using Smartphones (Sarcoidosis App).JMIR mHealth and uHealth · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundDigital 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.
objectiveThis 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.
methodsWe 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.
resultsInterviews 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.
conclusionsBarriers 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.