Evidence map›Paper›PMID 42720858›Full record

ArticleDigestive diseases and sciences2026

Patient Perspectives to Inform Co-creation of Wearable-Derived Digital Biomarkers for Early Flare Detection and Management in IBD: A Survey-Based Study.

E Godecharle, K Totté, W J van den Brink, Z Mujagić, J Zhang, R West, D van der Horst, M P Scherpenzeel, T P M Scheithauer, T J van den Broek and 2 more

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Article in Digestive diseases and sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

E Godecharle *Department of Gastroenterology and Hepatology, Maastricht University Medical Centre+, P. Debyelaan 25, 6229, Maastricht, HX, The Netherlands. eline.godecharle@maastrichtuniversity.nl.ORCID https://orcid.org/0009-0008-8766-5852
K Totté *Department of Gastroenterology and Hepatology, Radboudumc, Nijmegen, The Netherlands.ORCID http://orcid.org/0009-0004-5775-4062
W J van den BrinkResearch Group Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-4493-2382
Z MujagićDepartment of Gastroenterology and Hepatology, Maastricht University Medical Centre+, P. Debyelaan 25, 6229, Maastricht, HX, The Netherlands.ORCID http://orcid.org/0000-0001-5211-0381
J ZhangDepartment of Radiation Oncology (MAASTRO), GROW-School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands.ORCID http://orcid.org/0009-0007-7967-4786
R WestDepartment of Gastroenterology and Hepatology, Franciscus Gasthuis & Vlietland, Rotterdam, The Netherlands.ORCID http://orcid.org/0000-0001-8511-5090
D van der HorstCrohn & Colitis NL, Woerden, The Netherlands.
M P ScherpenzeelCrohn & Colitis NL, Woerden, The Netherlands.
T P M ScheithauerResearch Group Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), Leiden, The Netherlands.ORCID http://orcid.org/0000-0003-1446-3180
T J van den BroekResearch Group Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-7082-2179
T E H RömkensDepartment of Gastroenterology and Hepatology, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands.ORCID http://orcid.org/0000-0002-4184-9823
M J PierikDepartment of Gastroenterology and Hepatology, Maastricht University Medical Centre+, P. Debyelaan 25, 6229, Maastricht, HX, The Netherlands.ORCID http://orcid.org/0000-0001-6981-6516

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWearable-derived digital biomarkers represent a new frontier in remote management of inflammatory bowel disease (IBD). They may enable continuous disease surveillance and early flare detection while reducing reliance on questionnaire-based remote monitoring. However, successful implementation into clinical practice critically depends on patient acceptance and perceived relevance. To guide patient-centered digital health strategies, we aimed to investigate patient perspectives on digital biomarkers for (early) flare detection.

methodsA nationwide cross-sectional survey-based study was conducted among patients with IBD (≥ 16 years) in the Netherlands. A study-specific questionnaire was distributed through the Dutch patient organization Crohn & Colitis NL to assess acceptance, preferences, and perspectives on the use of wearable technology for flare detection.

results1,080 participants were included: 72.5% women, 53.4% aged >50 years, and 28.7% current wearable users. Overall, 88% considered remote monitoring for flare detection potentially useful, and over 90% believed wearables could support this. Motivations for using wearables included flare detection, better understanding of symptoms, and health monitoring. User-friendliness, clear alerts, and time efficiency were key device preferences, and smartwatches were the preferred wearable device. Shorter disease duration (p<0.001), more frequent flares (p=0.029), younger age (p=0.016), and current wearable use (p<0.001) were identified as predictors for willingness to use wearables.

conclusionPatients with IBD value wearables for flare detection and disease-monitoring. Most participants expressed willingness to use digital biomarkers and believed that wearables could support routine care. Incorporating patient preferences into digital biomarker development will likely improve patient acceptance and adherence to remote monitoring.

Indexed as

Digital biomarkersFlare detectionInflammatory bowel diseasePatient preferencesWearables

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.