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Record W2905752990 · doi:10.2196/resprot.9639

A Web-Based Telemanagement System for Patients With Complex Inflammatory Bowel Disease: Protocol for a Randomized Controlled Clinical Trial

2018· article· en· W2905752990 on OpenAlexvenueno aff
Mariam Aguas, Javier del Hoyo, Raquel Faubel, Diana Muñoz, David Domínguez, Guillermo Bastida, Belén Navarro, Alejandra Barrios, Bernardo Valdivieso, Marisa Correcher, Pilar Nos

Bibliographic record

VenueJMIR Research Protocols · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
FundersEuropean Regional Development FundInstituto de Salud Carlos III
KeywordsInflammatory bowel diseaseRandomized controlled trialMedicineProtocol (science)DiseasePhysical therapyInternal medicineAlternative medicinePathology

Abstract

fetched live from OpenAlex

BACKGROUND: Telemedicine has been successfully used to provide inflammatory bowel disease (IBD) patients with health care services remotely via the implementation of information and communications technology, which uses safe and feasible apps that have been well accepted by patients in remission. However, the design of telemedicine apps in this setting involves difficulties that hinder the adherence of patients to the follow-up plans and the efficacy of these systems to improve disease activity and quality of life. OBJECTIVE: This study aimed to evaluate the development of a Web platform, Telemonitoring of Crohn Disease and Ulcerative Colitis (TECCU), for remote monitoring of patients with complex IBD and the design of a clinical trial involving IBD patients who received standard care (G_Control), nurse-assisted telephone care (G_NT), or care based on distance monitoring (G_TECCU). METHODS: We describe the development of a remote monitoring system and the difficulties encountered in designing the platform. A 3-arm randomized controlled trial was designed to evaluate the effectiveness of this Web platform in disease management compared with G_NT and G_Control. RESULTS: According to the schedules established for the medical treatment initiated (corticosteroids, immunosuppressants, or biological agents), a total of 63 patients (21 patients from each group) answered periodic questionnaires regarding disease activity, quality of life, therapeutic adherence, adverse effects, satisfaction, work productivity, and social activities. Blood and stool analyses (fecal calprotectin) were performed periodically. On the basis of the results of these tests in G_TECCU, alerts were generated in a Web platform with adapted action plans, including changes in medication and frequency of follow-up. The main issues found were the development of an easy-to-use Web platform, the selection of validated clinical scores and objective biomarkers for remote monitoring, and the design of a clinical trial to compare the 3 main follow-up methods evaluated to date in IBD. CONCLUSIONS: The development of a Web-based remote management program for safe and adequate control of IBD proved challenging. The results of this clinical trial will advance knowledge regarding the effectiveness of TECCU Web platform for improvement of disease activity, quality of life, and use of health care resources in complex IBD patients. TRIAL REGISTRATION: ClinicalTrials.gov NCT02943538; https://clinicaltrials.gov/ct2/show/NCT02943538 (Archived by WebCite at http://www.webcitation.org/6y4DQdmt8). INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/9639.

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)0.028
metaresearch head score (Gemma)0.024
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 score0.052
Threshold uncertainty score0.174

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.024
Meta-epidemiology (narrow)0.0060.002
Meta-epidemiology (broad)0.0110.005
Bibliometrics0.0020.003
Science and technology studies0.0030.003
Scholarly communication0.0030.003
Open science0.0030.002
Research integrity0.0070.006
Insufficient payload (model declined to judge)0.0520.007

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 head0.090
GPT teacher head0.480
Teacher spread0.390 · 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

Citations13
Published2018
Admission routes1
Has abstractyes

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