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Record W3194853707 · doi:10.2196/23916

An mHealth-Based Intervention for Adolescents With Type 1 Diabetes and Their Parents: Pilot Feasibility and Efficacy Single-Arm Study

2021· article· en· W3194853707 on OpenAlexvenueno aff
Bree Holtz, Katharine M. Mitchell, Amanda J. Holmstrom, Shelia R. Cotten, Julie K Dunneback, Jose Jimenez‐Vega, Deborah A. Ellis, Michael A. Wood

Bibliographic record

VenueJMIR mhealth and uhealth · 2021
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsnot available
FundersAmerican Diabetes Association
KeywordsMedicineIntervention (counseling)mHealthType 1 diabetesSnowball samplingType 2 diabetesDiabetes managementDiabetes mellitusQuality of life (healthcare)Physical therapyFamily medicinePsychological interventionNursing

Abstract

fetched live from OpenAlex

Background Type 1 diabetes (T1D) affects more than 165,000 individuals younger than 20 years in the United States of America. The transition from parent management to parent-child team management, with the child taking on increased levels of self-care, can be stressful and is associated with a deterioration in self-management behaviors. Therefore, a mobile app intervention, MyT1DHero, was designed to facilitate diabetes-specific positive parent-adolescent communication and improve diabetes-related outcomes. The MyT1DHero intervention links an adolescent with T1D and their parent through 2 separate app interfaces and is designed to promote positive communication regarding T1D management. Objective The aim of this pilot study was to determine (1) the initial efficacy of the MyT1DHero intervention in improving diabetes outcomes in adolescents, specifically the hemoglobin A1c (HbA1c) levels, diabetes care adherence, and quality of life, and (2) the adolescents’ overall satisfaction with this intervention. Methods This pilot study included 30 adolescent-parent pairs who used the MyT1DHero app in a 12-week single-arm clinical trial. Participants were recruited from the local pediatric endocrinology subspecialty clinic via snowball sampling. HbA1c levels, diabetes care adherence, quality of life, family conflict, and satisfaction levels were measured and analyzed using paired sample two-sided t tests and linear regression analyses. Results The final analysis included 25 families. The mean age of the adolescents was 12.28 (SD 1.62) years. Half of the participants (13/25) reported a diabetes diagnosis of less than 5 years. After 12 weeks of the intervention, diabetes care adherence significantly improved (before the study: mean 3.87 [SD 0.59]; after the study: mean 4.19 [SD 0.65]; t21=–2.52, P=.02, d=0.52) as did quality of life (before the study: mean 4.02 [SD 0.84]; after the study: mean 4.27 [SD 0.73]; t24=2.48, P=.01, d=0.32). HbA1c levels (before the study: mean 8.94 [SD 1.46]; after the study: mean 8.87 [SD 1.29]; t24=0.67, P=.51, d=0.04) and family conflict (before the study: mean 2.45 [SD 0.55]; after the study: mean 2.61 [SD 0.45]; t23=0.55, P=.14, d=0.32) changed in the hypothesized direction, but the change was not significant. However, higher use of the mobile app was associated with more improvement in HbA1c levels (F1,20=9.74, P<.005; R2=0.33). Overall, the adolescents were satisfied with the app intervention. Conclusions In a 12-week pilot study of the mobile app intervention designed to facilitate parent-adolescent communication for improving diabetes outcomes, significant benefits were demonstrated in self-care adherence and quality of life. A randomized controlled trial with a longer intervention is needed to replicate these findings and to determine the stability of the intervention effects. Trial Registration ClinicalTrials.gov NCT03436628; https://clinicaltrials.gov/ct2/show/NCT03436628

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score0.668

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.122
GPT teacher head0.417
Teacher spread0.295 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations48
Published2021
Admission routes1
Has abstractyes

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