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Record W4367593815 · doi:10.2196/46307

A Comprehensive Self-Management Intervention for Inflammatory Bowel Disease (CSM-IBD): Protocol for a Pilot Randomized Controlled Trial

2023· article· en· W4367593815 on OpenAlexvenueno aff
Kendra Kamp, Kindra Clark‐Snustad, Linda Yoo, Samantha Winders, Kevin C. Cain, Rona L. Levy, Neelendu Dey, Scott D. Lee, Laurie Keefer, Margaret Heitkemper

Bibliographic record

VenueJMIR Research Protocols · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
FundersNational Institute of Nursing Research
KeywordsMedicineRandomized controlled trialPhysical therapyPsychological interventionIrritable bowel syndromeIntervention (counseling)Quality of life (healthcare)AnxietyInflammatory bowel diseaseClinical trialDiseaseInternal medicinePsychiatryNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Despite pharmacological treatment, individuals with inflammatory bowel disease (IBD) experience a variety of symptoms, including abdominal pain, fatigue, anxiety, and depression. Few nonmedical self-management interventions are available for people with IBD. A validated comprehensive self-management (CSM) intervention is effective for patients with irritable bowel syndrome who can have symptoms similar to those of individuals with IBD. We created a modified CSM intervention tailored to individuals with IBD (CSM-IBD). The CSM-IBD is an 8-session program delivered over 8-12 weeks with check-ins with a registered nurse. OBJECTIVE: The primary objective of this pilot study is to determine the feasibility and acceptability of study procedures and the CSM-IBD intervention and to evaluate preliminary efficacy on quality of life and daily symptoms for a future randomized controlled trial. Additionally, we will examine the association of socioecological, clinical, and biological factors with symptoms at baseline and response to intervention. METHODS: We are conducting a pilot randomized controlled trial of the CSM-IBD intervention. Participants aged 18-75 years who are experiencing at least 2 symptoms are eligible for inclusion. We plan to enroll 54 participants who will be randomized (2:1) into the CSM-IBD program or usual care. Patients in the CSM-IBD program will have 8 intervention sessions. Primary study outcomes include the feasibility of recruitment, randomization, and data or sample collection, as well as the acceptability of study procedures and interventions. Preliminary efficacy outcome variables include quality of life and symptoms. Outcomes data will be assessed at baseline, immediately post intervention, and 3 months post intervention. Participants in the usual care group will have access to the intervention after study participation. RESULTS: This project is funded by the National Institutes of Nursing Research and reviewed by the University of Washington's institutional review board. Recruitment began in February 2023. As of April 2023, we have enrolled 4 participants. We expect the study to be completed by March 2025. CONCLUSIONS: This pilot study will evaluate the feasibility and efficacy of a self-management intervention (a web-based program with weekly check-ins with a registered nurse) that aims to improve symptom management in individuals with IBD. In the long term, we aim to validate a self-management intervention to improve patient quality of life, reduce direct and indirect costs related to IBD, and be culturally appropriate and accessible, particularly in rural and underserved communities. TRIAL REGISTRATION: ClinicalTrials.gov NCT05651542; https://clinicaltrials.gov/ct2/show/NCT05651542. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/46307.

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)0.043
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.096
Threshold uncertainty score0.322

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0430.033
Meta-epidemiology (narrow)0.0070.004
Meta-epidemiology (broad)0.0110.005
Bibliometrics0.0030.004
Science and technology studies0.0050.004
Scholarly communication0.0050.004
Open science0.0040.003
Research integrity0.0070.010
Insufficient payload (model declined to judge)0.0960.013

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 head0.081
GPT teacher head0.469
Teacher spread0.388 · 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 designRandomized trial
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

Citations8
Published2023
Admission routes1
Has abstractyes

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