Evidence map›Paper›PMID 39555657›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2025

Use of Adaptive Conjoint Analysis-Based Values Clarification in a Patient Decision Aid Is Not Associated with Better Perceived Values Clarity or Reduced Decisional Conflict but Enhances Values Congruence.

Nida Gizem Yılmaz, Arwen H Pieterse, Danielle R M Timmermans, Annemarie Becker, Birgit Witte-Lissenberg, Olga C Damman

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Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2025. 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Nida Gizem YılmazDepartment of Communication Science, Amsterdam School of Communication Research/ASCoR, University of Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0002-1228-1685
Arwen H PieterseBiomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands.ORCID 0000-0001-6395-0052
Danielle R M TimmermansDepartment of Public and Occupational Health, Amsterdam Public Health research institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0002-3602-3875
Annemarie BeckerDepartment of Pulmonary Diseases, Amsterdam UMC, VU University Medical Center, Amsterdam, the Netherlands.
Birgit Witte-LissenbergDepartment of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Olga C DammanDepartment of Public and Occupational Health, Amsterdam Public Health research institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0002-4482-5042

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence is lacking on the most effective values clarification methods (VCMs) in patient decision aids (PtDAs). We tested the effects of an adaptive conjoint analysis (ACA)-based VCM compared with a ranking-based VCM and no VCM on several decision-related outcomes, with the decisional conflict and its subscale "perceived values clarity" as primary outcomes.

designOnline experimental study with 3 conditions: no VCM versus ranking-based VCM versus

resultsWe found no significant effect of type of VCM on overall decisional conflict or perceived values clarity. Age had a moderating effect: in younger participants, no VCM (v. ranking-based VCM) led to more values clarity, while in older participants, a ranking-based VCM (v. no VCM) led to more values clarity. Completing the ACA-based VCM, compared with no VCM, resulted in more values congruence. LIMITATIONS: The hypothetical choice situation might have induced lower levels of cognitive/affective involvement in the decision.

conclusionsThis study found mixed effects of an ACA-based VCM. It did not decrease decisional conflict or increase perceived values clarity, yet it did improve values congruence. IMPLICATIONS: Completion of an ACA-based VCM in a PtDA may increase values congruence. HIGHLIGHTS: An adaptive conjoint analysis or a ranking-based values clarification method did not decrease analog patients' decisional conflict nor did it increase their perceived values clarity.In younger participants, no VCM (v. ranking-based VCM) led to more values clarity, while in older participants, a ranking-based VCM (v. no VCM) led to more values clarity.An adaptive conjoint analysis task for values clarification resulted in more values congruence.

Indexed as

Conflict, PsychologicalDecision MakingDecision Support TechniquesPatient ParticipationAdultAgedFemaleHumansLung NeoplasmsMaleMiddle Agedconjoint analysisdecisional conflictinformed decision-makingpatient decision aidsvalues clarification methods

Identifiers

PMID39555657
PMCPMC11645850

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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.