ArticleArchives of rehabilitation research and clinical translation2026
Qualitative Analysis of User Experiences of a mHealth Self-Care Intervention for Care Partners of Individuals with Traumatic Brain Injury.
Article in Archives of rehabilitation research and clinical translation, 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
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To identify challenges and solutions for conducting mobile health (mHealth) research in a rehabilitation care partner population that involved personalized self-care push notifications and self-monitoring data collection. Design: Qualitative semistructured debriefing interviews with participants who completed a 6-month app-based self-care intervention involving self-monitoring alone or self-monitoring plus personalized push notifications. Interviews were guided by a data-prompted approach to aid participants' recall. Setting: Two academic medical centers. Participants: Thirty-six care partners (N=36) of individuals with complicated mild to severe traumatic brain injury requiring assistance with daily activities. Interventions: The CareQOL app is a mHealth intervention that delivers personalized self-care push notifications based on daily self-monitoring data, including self-reported caregiver strain, depression, and anxiety, plus Fitbit-tracked sleep and step data. Main Outcome Measures: Qualitative interview data about participants' experiences with, impressions of, and suggestions for the CareQOL app: (1) self-monitoring components (ie, daily questions, health data dashboard); (2) personalized self-care notifications, including overall experience and perceptions of selected messages. Results: Deductive thematic analysis was used to uncover participants' experiences with the CareQOL app and identify considerations across intervention and study design. Intervention-wise, push notifications personalized solely based on passive sensing and self-report can be misaligned with participants' needs, reducing support relevance; limited contextual cues in dashboard displays constrained meaningful self-reflection. Study-wise, technical breakdowns disrupted engagement during the extended study duration; data-prompted interviews effectively supported recall, with participant preferences informing methodological considerations. Conclusions: Findings identified critical considerations and practical recommendations for designing personalized mHealth interventions for self-care and evaluating them in longitudinal randomized controlled trials.
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.