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Record W3161012516 · doi:10.2196/27526

Adaptation of a Live Video Mind–Body Program to a Web-Based Platform for English-Speaking Adults With Neurofibromatosis: Protocol for the NF-Web Study

2021· article· en· W3161012516 on OpenAlexvenueno aff
Ethan G. Lester, Sarah W. Hopkins, Paula Popok, Ana‐Maria Vranceanu

Bibliographic record

VenueJMIR Research Protocols · 2021
Typearticle
Languageen
FieldMedicine
TopicNeurofibromatosis and Schwannoma Cases
Canadian institutionsnot available
Fundersnot available
KeywordsRandomized controlled trialMedicineCredibilityPsychosocialWeb applicationPsychologyMedical educationWorld Wide WebComputer sciencePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Neurofibromatosis (NF) is a rare genetic condition associated with lower but modifiable quality of life (QoL). Although a virtual live video program (Relaxation Response Resiliency Program for Neurofibromatosis [3RP-NF]; efficacy randomized controlled trial underway) that we created has been made available, ongoing barriers impede some patients from engaging in this intervention. A necessary next step is to develop a stand-alone web-based intervention that reduces barriers to accessing NF-specific psychosocial care. OBJECTIVE: First, we aim to develop a web-based platform (Neurofibromatosis-Web [NF-Web]) of our mind-body resiliency program (3RP-NF) through qualitative interviews with participants from an adult efficacy randomized controlled trial. Second, we aim to iteratively optimize the feasibility, acceptability, credibility, and satisfaction of the NF-Web platform through open pilot trials with participant exit interviews and explore quantitative outcomes within this sample. Here, we describe the protocol and study design, intervention, and analysis plan. METHODS: For aim 1, we will invite completers from our efficacy trial to participate in qualitative interviews. We will use data from these interviews to adapt the content of the live video program for asynchronous delivery and understand how to create a user-friendly format for an engaging web platform. For aim 2, we will enroll eligible participants recruited for the efficacy trial who could not enroll because of treatment barriers. Eligible participants will complete QoL, depression, anxiety, pain, treatment satisfaction, and program credibility measures at baseline and posttest. Inclusion criteria are identical to those for the efficacy trial, including stress and coping difficulties (self-report), no change in antidepressant medication in the past 3 months, no psychotherapy in the past 3 months, no major upcoming surgeries in the next 12 months, English speaking, ability to complete questionnaires on the web and participate in live video interventions, and consent before participation. The primary outcomes are feasibility, treatment satisfaction, and credibility. The secondary outcomes include physical, psychological, social, and environmental QoL; depression; anxiety; pain intensity; and pain interference. We will enroll at least two group cohorts and iteratively refine the program based on participant feedback after each cohort completes the open pilot trial. RESULTS: This trial is ongoing. We have completed the interviews (n=23) and analyzed the data to construct the website. Afterward, we will recruit our cohorts for the trial (approximately n=15/cohort; total=30). Recruitment will end by May 2021, with plans to analyze the data by October 2021. CONCLUSIONS: We will develop the first web platform for people with NF with difficulties managing stress and NF symptoms and report on feasibility and preliminary effects in improving QoL and psychosocial functioning. NF-Web has potential to extend the reach of our 3RP-NF intervention by removing barriers to care, including lack of trained providers, scheduling difficulties, and appearance concerns. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/27526.

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)0.036
metaresearch head score (Gemma)0.025
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 score0.062
Threshold uncertainty score0.208

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0360.025
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0020.002
Science and technology studies0.0050.003
Scholarly communication0.0030.003
Open science0.0030.003
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0620.013

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 head0.200
GPT teacher head0.487
Teacher spread0.287 · 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

Citations9
Published2021
Admission routes1
Has abstractyes

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