ArticleDigital health
Ladders to better health? Identifying the cognitive pathways and barriers to value attainment in wearable health device usage.
Article in Digital health. 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Wearable health devices (WHDs) are increasingly important in supporting personal health goals, yet their effectiveness is mediated by the user experience. This study employs means-end chain (MEC) analysis to map the cognitive pathways through which users transition from perceiving device attributes to attaining core health values. Methods: We applied a soft-laddering technique to interview 63 adult WHD users. The interview data were analyzed using content analysis to identify key attributes, consequences, and values. A summary implication matrix was constructed to illustrate the linkages between these factors, culminating in the generation of a hierarchical value map. Results: Results indicate that concrete WHD attributes (e.g., wearability, health tracking, haptic reminders) facilitate positive user consequences, such as a sense of companionship, risk awareness, and self-regulation. These pathways lead to the attainment of high-level health values including mental wellness, safety, self-optimization, and lifestyle improvement. Conversely, we identified significant "broken ladders" in which persistent design flaws (e.g., inaccurate/inconsistent data, black-box algorithms, mistimed prompts, unrealistic goals), lead to negative consequences such as decision paralysis, distress, and motivation crowding. These barriers actively hinder value attainment in WHD usage. Conclusions: This study provides a comprehensive framework of the WHD user journey, highlighting that user value is not derived solely from the technology but also from psychological and cognitive mediators. Findings suggest that developers must move beyond usability to prioritize data transparency and literacy education, while implementers should monitor for compulsive usage patterns to reduce psychological burdens and support long-term digital health engagement.
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.