MyHealthyGut: Findings from a pilot randomized controlled trial on adherence to a gluten-free diet and quality of life among adults with celiac disease or gluten intolerance
Bibliographic record
Abstract
AIMS: The purpose of this study was to assess the effectiveness of a smartphone app (MyHealthyGut) in helping adults self-manage celiac disease or gluten intolerance and improve their gut health. METHODS: = 115) were randomized into two groups: experimental group 1 (had access to the app for a one-month period) or wait list control (WLC). After one month, WLC participants were given one-month access to the app (experimental group 2). An online questionnaire was administered to assess (a) user satisfaction with the app and (b) changes in the following patient-reported outcomes: adherence to a gluten-free diet, quality of life (QoL), self-regulatory efficacy, and feelings of depression and anxiety. Generalized estimating equations were used to assess changes in the outcome variables over time between the groups. RESULTS: Participants reported high levels of app usability, were satisfied with features of the app, and felt that the app was best suited for people newly diagnosed with celiac disease. Participants in the experimental groups reported improvements in adherence, gastrointestinal symptoms (experimental group 1 only), QoL, self-regulatory efficacy (experimental group 2 only), anxiety (experimental group 1 only), and depression (experimental group 2 only). Experimental group 1 and the WLC group reported significantly worse adherence after using the app based on the Celiac Dietary Adherence Test, which was in contrast to the accidental and purposeful measures of gluten consumption and symptoms for experimental group 1 but consistent with reports of accidental and purposeful gluten consumption and symptoms for the WLC group. CONCLUSIONS: Based on feedback from the participants, the app may be best suited for individuals newly diagnosed or struggling with celiac disease or gluten intolerance. After using the MyHealthyGut app for a one-month period, adults with celiac disease reported improvements in psychosocial outcomes. Further iterations of the app are needed to meet the needs of this population better. MyHealthyGut is the first evidence-based app designed to help people with celiac disease or gluten intolerance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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 source (direct Gemma or distilled Codex), 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".