Evaluating a Telehealth Coaching and Mobile-Based Digital Engagement Intervention for People With Cancer Using the Patient-Reported Outcomes Measurement Information System Global Health: Pilot Questionnaire Study
Bibliographic record
Abstract
BACKGROUND: People with cancer often experience unmet needs during treatment and survivorship, which can impact their ability to carry out daily tasks, reduce their quality of life, and limit their participation in work and social activities. Cancer Coach by CancerAid (now known as Osara Health) is a digital health intervention designed to address these needs through a combination of synchronous telehealth coaching and an asynchronous mobile app that supports behavior change and emotional well-being. OBJECTIVE: This study aimed to evaluate the impact of Cancer Coach by CancerAid on the mental and physical health of people with cancer using patient-reported outcomes. METHODS: Participants were referred to the program via insurers and hospital clinics. Health coaches administered the Patient-Reported Outcomes Measurement Information System 10-item Global Health Short Form via telephone at both the beginning and end of the intervention. This tool measures global physical health (GPH) and global mental health (GMH). Pre- and postintervention scores were analyzed using Wilcoxon signed rank tests. Independent 2-tailed t tests assessed whether changes in GPH and GMH scores were associated with the use of health coaching alone or in combination with the mobile app. RESULTS: Statistically significant improvements were observed in both GPH (z=-4.97; P<.001; r=0.37) and GMH (z=-4.53; P<.001; r=0.34), indicating moderate effect sizes in the 89 participants. The average T score point changes of 4.43 for GPH and 4.58 for GMH represented a minimal important change for participants. The improvement in the group GMH T score was reflected in the move from "good" to "very good" mental health status. Participants who engaged with both health coaching and the mobile app showed greater improvements in physical health, whereas those who received health coaching alone exhibited higher gains in mental health. This suggests that the mode of support may influence specific health outcomes. CONCLUSIONS: The use of the Patient-Reported Outcomes Measurement Information System 10-item Global Health Short Form showed that participants had significant improvements in physical and mental health after participating in the Cancer Coach by CancerAid️ intervention. The integration of telehealth coaching with app-based support may enhance overall well-being and address holistic needs during cancer treatment and survivorship.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".