A text messaging intervention and quality of life in adolescents with solid organ transplants
Bibliographic record
Abstract
BACKGROUND: Facilitating communication between adolescents and HCP outside of appointments may enhance patient experience and outcomes. The purpose of this study was to determine whether SMS enhances the healthcare experience, QoL, and medication adherence in adolescent SOT patients. METHODS: This was a prospective observational study of an SMS platform (WelTel Inc) for SOT patients aged 12-19 years. QoL was assessed before and after using the PedsQL™ Transplant Module. Medication adherence was assessed with the frequency of therapeutic tacrolimus levels and variation based on control chart analysis. Patient experience and engagement was evaluated with surveys, response rate to messages, and number of clinical conversations (>2 messages). RESULTS: Twenty-three patients were included (median age 15.7 years (IQR 13.6-17.1)). Median intervention duration was 13.5 months (range 4.0-16.7 months). There was a 68% response rate (742/1095) with 375 clinical conversations. The majority of patients reported the intervention provided a positive outlook on their health (17/23), was useful (18/23), and improved their connection to HCPs (17/23). Following the intervention, there was no significant difference in the median scaled QoL scores (pre-intervention: 81 (IQR 76.5-93.3), post-intervention: 78 (IQR 76-93); p = .37), mean percentage of therapeutic tacrolimus levels (pre-intervention: 52 ± 25%, post-intervention: 65 ± 17%; p = .07), or variation on control chart analysis of tacrolimus levels. CONCLUSIONS: The WelTel messaging platform provided supplemental clinical care for a group of adolescent SOT patients that enhanced their healthcare experience. Patient QoL and adherence were unchanged following the intervention and remained at a high level.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".