ArticleJMIR human factors2026
Digital Episodic Future Thinking Intervention (Luminaut): Co-Design and Iterative Development Study.
Article in JMIR human factors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
No grant is acknowledged in the PubMed record.
Abstract
Background: Digital health interventions can be effective at changing behavior, but achieving long-term adherence remains a challenge. One psychological barrier to health behavior change is future discounting, or the tendency to prefer smaller, short-term rewards over larger, long-term rewards. Episodic Future Thinking (EFT) can disrupt future discounting and is a promising technique for improving health behavior, but such interventions have not been co-designed to address end user needs. Objective: This study aimed to co-design an app with end users to deliver an EFT intervention aimed at promoting health behavior change in those in the prerisk phase for chronic conditions. Methods: Community members participated in up to 2 series of face-to-face co-design workshops. A prototype of the app was reviewed, and insights were gathered to understand (1) the optimal characteristics of the app and (2) the concepts of future discounting and EFT. Themes were generated using inductive thematic analysis. Results: Participants were South Australian adults (n=30) who were predominately affluent women (27/30, 90%) aged 25-44 years (mean 36.37, SD 5.65 years). Feedback generated from the first workshop series resulted in 26 suggestions of which 15 informed iterative app development. Higher-level principles were identified and categorized into 5 overarching themes: concept acceptance, triggers and barriers, personalization, gamification, and user-friendly interface. Conclusions: This study used co-design methodology to develop an app-based EFT intervention. Ongoing engagement with end users and key stakeholders (eg, health care professionals) is needed to ensure that the app meets changing needs. Future work will aim to evaluate its effectiveness in a large-scale clinical trial.
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.