Evidence map›Paper›PMID 41493945›Full record

ArticlePloS one2026

Including patient experiences from online sources in guidelines: A natural language processing study on scabies.

Lea Lösch, Carolina J G Kampman, Elena Syurina, Florian A Kunneman, Helena Liekens, Taylor Doughty, Mart L Stein, Linda Smid, Aura Timen, Teun Zuiderent-Jerak

Abstract read
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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

10 authors.

Lea LöschAthena Institute, Faculty of Science, Vrije Universiteit Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-9272-8706
Carolina J G KampmanCentre for Infectious Disease Control (CIb), National Institute of Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
Elena SyurinaAthena Institute, Faculty of Science, Vrije Universiteit Amsterdam, The Netherlands.
Florian A KunnemanLanguage and Communication, Department of Languages, Literature and Communication, Utrecht University, The Netherlands.
Helena LiekensAthena Institute, Faculty of Science, Vrije Universiteit Amsterdam, The Netherlands.
Taylor DoughtyDepartment of Computer Science, Vrije Universiteit Amsterdam, The Netherlands.
Mart L SteinCentre for Infectious Disease Control (CIb), National Institute of Public Health and the Environment (RIVM), Bilthoven, The Netherlands.ORCID https://orcid.org/0000-0003-0502-7993
Linda SmidCentre for Infectious Disease Control (CIb), National Institute of Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
Aura TimenAthena Institute, Faculty of Science, Vrije Universiteit Amsterdam, The Netherlands.
Teun Zuiderent-JerakAthena Institute, Faculty of Science, Vrije Universiteit Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIncluding patients' experience-based knowledge in the development of clinical and public health guidelines has been shown to enhance the quality, relevance, and applicability of guidelines. However, the meaningful and methodologically sound inclusion of patient experiences remains a challenge. This study aimed to showcase the potential of NLP methods as an innovative tool for guideline development to gain insights into patients' experiential knowledge and to incorporate this into the guideline development process.

methodsFor the revision of the Dutch public health guideline for scabies, we analyzed patients' experiences with scabies infestation shared on "dokter.nl", the Netherlands' largest online health community, between December 4, 2014, and May 19, 2023. Structural topic modelling was performed to discern thematic clusters from these patient experiences.

resultsWe obtained 5781 unique posts on scabies and identified 13 major themes raised in forum conversations. The most prevalent themes revolved around community support (11.2%), uncertainty about treatment plans (11.1%) and coping with itching (11%). Recognizing scabies, alternative remedies, and decontamination measures were also issues frequently raised. The analysis highlighted the burden of disease and treatment-particularly the psychosocial burden-associated with scabies. This offered guideline developers an unprecedented insight into patients' experiences resulting in alterations to the Dutch public health guideline for scabies.

conclusionPrevious studies have highlighted the benefits of the integration of experiential knowledge for guideline development. Our study provides a novel method to make this type of knowledge accessible and usable for medical guideline development, without additionally burdening patients.

Indexed as

Natural Language ProcessingPractice Guidelines as TopicScabiesHumansInternetNetherlands

Identifiers

PMID41493945
PMCPMC12773816

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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.