Evidence map›Paper›PMID 39415126›Full record

ArticleBMC medical research methodology2024

Co-creation of a step-by-step guide for specifying the test-management pathway to formulate focused guideline questions about healthcare related tests.

Mariska K Tuut, Gowri Gopalakrishna, Mariska M Leeflang, Patrick M Bossuyt, Trudy van der Weijden, Jako S Burgers, Miranda W Langendam

Abstract read
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Article in BMC medical research methodology, 2024. 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

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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

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

7 authors.

Mariska K TuutDepartment of Family Medicine, Care and Public Health Research Institute CAPHRI, Maastricht University, PO Box 616, Maastricht, MD, 6200, The Netherlands. mariska.tuut@maastrichtuniversity.nl.
Gowri GopalakrishnaDepartment of Epidemiology, Maastricht University, Maastricht, The Netherlands.
Mariska M LeeflangDepartment Epidemiology and Data Science, Amsterdam UMC/University of Amsterdam, Amsterdam, The Netherlands.
Patrick M BossuytDepartment Epidemiology and Data Science, Amsterdam UMC/University of Amsterdam, Amsterdam, The Netherlands.
Trudy van der WeijdenDepartment of Family Medicine, Care and Public Health Research Institute CAPHRI, Maastricht University, PO Box 616, Maastricht, MD, 6200, The Netherlands.
Jako S BurgersDepartment of Family Medicine, Care and Public Health Research Institute CAPHRI, Maastricht University, PO Box 616, Maastricht, MD, 6200, The Netherlands.
Miranda W LangendamDepartment Epidemiology and Data Science, Amsterdam UMC/University of Amsterdam, Amsterdam, The Netherlands.

Funding

European Research Council FP7/2007-2013
6 · The paper itself

Abstract

backgroundGuideline development on testing is known to be difficult for guideline developers. It requires consideration of various aspects, such as accuracy, purpose of testing, and consequences on management and people-important outcomes. This can be outlined in a test-management pathway. We aimed to create and user-test a step-by-step guide for guideline developers for designing a test-management pathway.

methodsDevelopmental design with a co-creative strategy. We created a draft step-by-step guide, that was user tested in a workshop with 19 experts, and by interviewing 7 guideline panel members.

resultsOur proposed guide consists of five blocks of signalling questions: patients/population, index test(s), current practice/comparison/control, people-important outcomes, and the link between testing and outcome(s). The user testing led to refinement of the signalling questions, the use of inclusive terminology, and addition of a test-management pathway figure with detailed explanation.

conclusionsThe step-by-step guide for formulating focused guideline questions regarding healthcare related testing can help in identifying relevant characteristics of the population, tests, and outcomes and to create a test management pathway. This should facilitate the formulation of evidence-based guideline recommendations about healthcare related testing.

Indexed as

Practice Guidelines as TopicDelivery of Health CareHumansEducation in guideline methodsGuidanceGuidelinesHealthcare related testingMethodology

Identifiers

PMID39415126
PMCPMC11481243

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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.