ArticleDigital health
Enhancing wellbeing in cancer care: Engagement in smart-messaging programmes for symptom management.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Baseline self-efficacy and engagement in a symptom management intervention after cancer treatment: an exploratory analysis of a sequential multiple assignment randomized trial.Journal of cancer survivorship : research and practice · 2026Article
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
Background: Despite improved survival rates, cancer patients often face physical and mental health challenges during and post-treatment. With cancer care services under pressure, these issues may go unnoticed. Holistic Needs Assessments attempt to address such problems but can have limited impact, necessitating corresponding interventions. Automated, personalised text-messaging interventions, successful in health monitoring, may be an effective solution but evidence is lacking on their integration into cancer care settings. Objective: To explore the feasibility and engagement in personalised smart-messaging programmes to manage common cancer-related issues. Methods: Recruitment occurred via clinician referrals and flyers in cancer care services. Qualitative and quantitative methods explored engagement data, clinical outcome measures, and qualitative interviews. A workshop involving patients and referring staff explored factors affecting programme implementation. Results: Twenty-seven patients enrolled, exhibiting varied engagement levels. Some participants reported symptom reduction particularly linked to higher engagement. The analysis of qualitative interviews on participant experience of the programmes resulted in themes related to enrolment rationale, sustaining engagement, and participation outcomes; and factors facilitating engagement included the practical and psychological dimensions of programme delivery. Twenty-seven participants responded to 49.95% of messages where responses were possible across 42.90% of enrolled days. The workshop emphasised the need for improved promotional materials and staff training. Conclusion: A tailored text messaging intervention shows promise in alleviating cancer-related symptoms, yet enrolment and active engagement remain obstacles. Enhanced promotional strategies are required to increase programme visibility and impact. Further research and integration into routine care are recommended.
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.