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Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
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Clarifying values: an updated review.

Angela Fagerlin, Michael Pignone, Purva Abhyankar

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    This summary is machine-generated.

    Values clarification methods (VCMs) in patient decision aids may enhance decision-making processes. However, evidence on their effectiveness is mixed, requiring further research into optimal design and outcomes.

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    Area of Science:

    • Health decision science
    • Patient engagement
    • Medical informatics

    Background:

    • Consensus guidelines recommend patient decision aids incorporate values clarification methods (VCMs).
    • Existing evidence on VCMs in decision aids requires updated review and synthesis.

    Purpose of the Study:

    • To examine theoretical and empirical evidence for VCMs in patient decision aids.
    • To inform the design and application of VCMs in clinical practice.

    Main Methods:

    • Convened a multi-disciplinary expert group to review definitions and theories.
    • Conducted an evidence review and summary of VCMs in decision aids.
    • Analyzed 13 trials comparing decision support with and without VCMs.

    Main Results:

    • Values clarification methods help patients identify preferred options by evaluating desirability of choices.
    • No single best practice for VCM design was identified; pros and cons listing was common.
    • Trials showed mixed results regarding VCMs' impact on decision-making processes.

    Conclusions:

    • VCMs show potential to improve decision-making processes and patient outcomes.
    • Limited evaluations and outcome heterogeneity hinder definitive conclusions on VCM effectiveness.