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Record W4367313686 · doi:10.2196/31694

My Health, My Life, My Way—An Inclusive Web-Based Self-management Program for People With Disabilities Living With Chronic Conditions: Protocol for a Multiphase Optimization Strategy Study

2023· article· en· W4367313686 on OpenAlexvenueno aff
Eric J. Evans, Ayse Zengul, Amy Knight, Amanda L. Willig, Andrea Cherrington, Tapan Mehta, Mohanraj Thirumalai

Bibliographic record

VenueJMIR Research Protocols · 2023
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Education
Canadian institutionsnot available
FundersNational Institute on Disability, Independent Living, and Rehabilitation ResearchAdministration for Community Living
KeywordsCoachingHealth coachingProtocol (science)Intervention (counseling)Medical educationRandomized controlled trialTelehealthPsychologyHealth careQuality of life (healthcare)MedicineApplied psychologyNursingTelemedicineAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Individuals with disabilities living with chronic health conditions require self-management programs that are accessible, sustainable, inclusive, and adaptable. Health coaching is an effective approach to promoting behavior change in self-management. Health coaching combined with telehealth technology has the potential to improve the overall quality of, and access to, health services. OBJECTIVE: This protocol outlines the study design for implementing the My Health, My Life, My Way intervention. The study will assess the feasibility, acceptability, and preliminary efficacy of the intervention for people with disabilities and optimize it. METHODS: The My Health, My Life, My Way study is a 4-arm randomized controlled trial evaluating the delivery of a 6-month intervention involving telecoaching, inclusive educational content, and technology access for 200 individuals with chronic conditions and physical disabilities. This study uses the engineering-inspired multiphase optimization strategy (MOST) framework to evaluate intervention components and assess whether a combination or lack of individual elements influences behavior. Participants will be randomized to 1 of 4 study arms: scheduled coaching calls and gamified rewards, no scheduled coaching calls and gamified rewards, scheduled coaching calls and flat rewards, and no scheduled coaching calls and flat rewards. RESULTS: The My Health, My Life, My Way study was approved by the institutional review board of the University of Alabama at Birmingham, and recruitment and enrollment will begin in May 2023. Data analysis is expected to be completed within 6 months of ending data collection. This clinical trial protocol was developed based on the SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) 2013 statement. CONCLUSIONS: The My Health, My Life, My Way study will help to optimize and improve our understanding of the feasibility and efficacy of a web-based self-management program for people with physical disabilities and chronic conditions. More specifically, My Health, My Life, My Way will determine which combination of interventions (coaching calls and gamification) will result in increased participation in self-management programming. The My Health, My Life, My Way intervention has the potential to become a scalable and novel method to successfully manage chronic conditions in people with disabilities. TRIAL REGISTRATION: ClinicalTrials.gov NCT05481593; https://clinicaltrials.gov/ct2/show/NCT05481593. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/31694.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.020
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.045
Threshold uncertainty score0.152

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.016
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0020.002
Science and technology studies0.0040.002
Scholarly communication0.0020.002
Open science0.0030.002
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0450.008

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 head0.140
GPT teacher head0.541
Teacher spread0.401 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreProtocol

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

Citations4
Published2023
Admission routes1
Has abstractyes

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