ArticleInteracting with computers2024
User Engagement in an Online Digital Health Intervention to Promote Problem Solving.
Article in Interacting with computers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Multimodal Digital Therapeutics Enhanced by Task Design and AI for Attention-Deficit/Hyperactivity Disorder Core Symptoms and Executive Functions in Children and Adolescents: Systematic Review and Network Meta-Analysis of Randomized Controlled Trials.Journal of medical Internet research · 2026Pooled it
- Engagement With an Internet-Administered, Guided, Low-Intensity Cognitive Behavioral Therapy Intervention for Parents of Children Treated for Cancer: Analysis of Log-Data From the ENGAGE Feasibility Trial.JMIR formative research · 2025Article
- Use of digital health interventions by outdoor workplaces in Australia: A focus on skin cancer prevention interventions.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Digital health interventions (DHIs) can facilitate positive health outcomes. User engagement (UE) plays an important role in DHI efficacy. Yet, DHIs vary in functionality, design and intended outcomes, underscoring the importance of incremental, user-centred design to understand engagement in specific settings. This study explores the relationship between user engagement and DHI implementation in three design iterations, or rounds, of a unique, multi-week asynchronous intervention that leverages online discussion and problem-solving therapy (PST). The intervention seeks to engage older adults to improve problem solving skills relating to the intervention focus, health aging (two rounds) and Lewy Body Dementias (LBD) caregiving (one round). The PST component drew upon personas, a common user-centered design method, in a novel way. Exit interviews were conducted at the end of each round to understand participants' experiences. Using thematic analysis, we identified factors that contributed to social engagement ('engaging with others') and learning engagement ('engaging with content') with the DHI. The findings demonstrate how iterative changes in the design and delivery of a DHI can contribute to user engagement, increasing the likelihood of knowledge acquisition and developing problem-solving skills as part of health self-management.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.