ArticleDigital health
Evaluating behavioral intervention technologies: Integrating human-centered design and implementation science outcomes.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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.
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Who cites it
4 citing papers in PubMed.
- Redesigning a Fidelity Measurement Tool for Early Psychosis Services: Responding to Evolving Service Landscapes in Australia.Early intervention in psychiatry · 2026Article
- Preferences for mHealth Features to Support Engagement in the HIV Preexposure Prophylaxis Cascade Among Men Who Have Sex With Men in Peru: Cross-Sectional Online Survey.JMIR public health and surveillance · 2026Article
- Development and clinical implementation of a care guideline to support self-management and responsibility transition in adolescents and young adults with biliary atresia.Health care transitions · 2026Article
- Integrating PRISM with User-centered Design (PRISM+UCD): Designing clinical decision support for safe opioid prescribing.Research square · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Background: Behavioral intervention technologies (BITs) offer scalable, cost-effective healthcare solutions but often show reduced impacts in community settings and are rarely sustained. Human-centered design (HCD) enhances usability by tailoring BITs to stakeholder needs, while implementation science (IS) identifies contextual barriers and strategies to promote uptake and sustainability. Both HCD and IS aim to improve BIT usability and implementation through iterative, user-focused processes but are rarely integrated. Objective: We introduced the user-centered and sustainable implementation science (USIS) model, a novel and systematic framework that combines HCD and IS principles to enhance BIT effectiveness and sustainability. We aimed to (1) synthesize the HCD and IS outcomes and integrate them into a USIS framework; (2) apply USIS to a case study: the sleep shared-management intervention for children with juvenile idiopathic arthritis and their parents (SLEEPSMART). Methods: We conducted a narrative literature review on HCD and IS outcomes for BITs from the PubMed, CINAHL, and Web of Science databases. Articles were selected based on their focus on usability, implementation outcomes, and evidence-based healthcare practices. This synthesis informed the development of the USIS model. Results: The USIS model incorporates five domains: (1) user-centeredness (empathy, engagement, and equity), (2) efficiency (cost, timeliness, and rapidity), (3) feasibility (learnability, memorability, error reduction, and low cognitive load), (4) satisfaction (acceptability and appropriateness), and (5) fidelity (adoption, penetration, and sustainability). We applied the USIS model to evaluate the SLEEPSMART project to demonstrate the application of the USIS model in guiding BIT design and refinement. Insights from the review informed the design principles applied during the development and testing stages of SLEEPSMART. Conclusion: The USIS model serves as a practical and theoretical guide to improve BIT design and evaluation. By emphasizing implementation considerations early and centering user needs, USIS provides a pathway to bridge HCD and IS approaches to enhance the real-world impact and sustainability of digital health innovations.
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What Socratic holds
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 Socratic graph.