ArticleTherapeutic advances in chronic disease2024
Patient preferences for active ulcerative colitis treatments and fecal microbiota transplantation.
Article in Therapeutic advances in chronic disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- Balancing safety and effectiveness: parent preferences for fecal microbiota transplant and established therapies in pediatric inflammatory bowel disease-results of a multicenter Canadian study.Crohn's & colitis 360 · 2026Article
- Knowledge and Acceptability of Fecal Microbiota Transplantation Among Patients, Caregivers, and Health Care Providers in Ethiopia.Open forum infectious diseases · 2025Article
- Awareness and perception of fecal microbiota transplantation in Lebanon: a cross-sectional survey among the general population, healthcare workers, physicians, and patients.Therapeutic advances in gastroenterology · 2025Article
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Fecal microbiota transplantation (FMT) is a promising treatment for active ulcerative colitis (UC). Understanding patient preferences can identify treatment features that may impact treatment decisions, improve shared decision-making, and contribute to patient-centered care, which is especially important in the context of novel treatments like FMT. Objectives: We aimed to quantify preferences for active UC treatments, specifically FMT and biologics, and identify patient characteristics associated with different preference patterns. Design: This is a cross-sectional survey study. Methods: We administered a discrete choice experiment (DCE) survey to elicit preferences in a sample of Canadian adults with UC. DCE data were analyzed using a main-effects mixed logit model and used to predict uptake of hypothetical scenarios reflecting alternative combinations of treatment features. Latent class modeling identified heterogeneity in patient preference patterns. Results: Participants' ( Conclusion: We identified characteristics of UC patients who are more likely to be interested in FMT using preference elicitation methods. Patient-centered care can be enhanced by knowing which patients are more likely to be interested in FMT, potentially improving satisfaction with and adherence to treatments for active UC to maximize the effectiveness of treatment while considering heterogeneity in patient preferences.
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Registered trials
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.