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Theory-informed design of values clarification methods: A cognitive psychological perspective on patient health-related decision making

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  • Pieterse, Arwen H.
  • de Vries, Marieke
  • Kunneman, Marleen
  • Stiggelbout, Anne M.
  • Feldman-Stewart, Deb

Abstract

Healthcare decisions, particularly those involving weighing benefits and harms that may significantly affect quality and/or length of life, should reflect patients' preferences. To support patients in making choices, patient decision aids and values clarification methods (VCM) in particular have been developed. VCM intend to help patients to determine the aspects of the choices that are important to their selection of a preferred option. Several types of VCM exist. However, they are often designed without clear reference to theory, which makes it difficult for their development to be systematic and internally coherent. Our goal was to provide theory-informed recommendations for the design of VCM. Process theories of decision making specify components of decision processes, thus, identify particular processes that VCM could aim to facilitate. We conducted a review of the MEDLINE and PsycINFO databases and of references to theories included in retrieved papers, to identify process theories of decision making. We selected a theory if (a) it fulfilled criteria for a process theory; (b) provided a coherent description of the whole process of decision making; and (c) empirical evidence supports at least some of its postulates. Four theories met our criteria: Image Theory, Differentiation and Consolidation theory, Parallel Constraint Satisfaction theory, and Fuzzy-trace Theory. Based on these, we propose that VCM should: help optimize mental representations; encourage considering all potentially appropriate options; delay selection of an initially favoured option; facilitate the retrieval of relevant values from memory; facilitate the comparison of options and their attributes; and offer time to decide. In conclusion, our theory-based design recommendations are explicit and transparent, providing an opportunity to test each in a systematic manner.

Suggested Citation

  • Pieterse, Arwen H. & de Vries, Marieke & Kunneman, Marleen & Stiggelbout, Anne M. & Feldman-Stewart, Deb, 2013. "Theory-informed design of values clarification methods: A cognitive psychological perspective on patient health-related decision making," Social Science & Medicine, Elsevier, vol. 77(C), pages 156-163.
  • Handle: RePEc:eee:socmed:v:77:y:2013:i:c:p:156-163
    DOI: 10.1016/j.socscimed.2012.11.020
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    Cited by:

    1. Holly O. Witteman & Ruth Ndjaboue & Gratianne Vaisson & Selma Chipenda Dansokho & Bob Arnold & John F. P. Bridges & Sandrine Comeau & Angela Fagerlin & Teresa Gavaruzzi & Melina Marcoux & Arwen Pieter, 2021. "Clarifying Values: An Updated and Expanded Systematic Review and Meta-Analysis," Medical Decision Making, , vol. 41(7), pages 801-820, October.
    2. Peter Scalia & Marie-Anne Durand & Jan Kremer & Marjan Faber & Glyn Elwyn, 2018. "Online, Interactive Option Grid Patient Decision Aids and their Effect on User Preferences," Medical Decision Making, , vol. 38(1), pages 56-68, January.
    3. Holly O. Witteman & Teresa Gavaruzzi & Laura D. Scherer & Arwen H. Pieterse & Andrea Fuhrel-Forbis & Selma Chipenda Dansokho & Nicole Exe & Valerie C. Kahn & Deb Feldman-Stewart & Nananda F. Col & Ale, 2016. "Effects of Design Features of Explicit Values Clarification Methods," Medical Decision Making, , vol. 36(6), pages 760-776, August.
    4. Holly O. Witteman & Selma Chipenda Dansokho & Nicole Exe & Audrey Dupuis & Thierry Provencher & Brian J. Zikmund‐Fisher, 2015. "Risk Communication, Values Clarification, and Vaccination Decisions," Risk Analysis, John Wiley & Sons, vol. 35(10), pages 1801-1819, October.
    5. Holly O. Witteman & Laura D. Scherer & Teresa Gavaruzzi & Arwen H. Pieterse & Andrea Fuhrel-Forbis & Selma Chipenda Dansokho & Nicole Exe & Valerie C. Kahn & Deb Feldman-Stewart & Nananda F. Col & Ale, 2016. "Design Features of Explicit Values Clarification Methods," Medical Decision Making, , vol. 36(4), pages 453-471, May.
    6. Alden, Dana L. & Friend, John & Schapira, Marilyn & Stiggelbout, Anne, 2014. "Cultural targeting and tailoring of shared decision making technology: A theoretical framework for improving the effectiveness of patient decision aids in culturally diverse groups," Social Science & Medicine, Elsevier, vol. 105(C), pages 1-8.

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