Current Challenges When Using Numbers in Patient Decision Aids: Advanced Concepts.
Lyndal Trevena,Carissa Bonner,Yasmina Okan,Ellen Peters,Wolfgang Gaissmaier,Paul K. J. Han,Elissa M. Ozanne,Danielle R.M. Timmermans,Brian J. Zikmund-Fisher +8 more
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In this paper, decision aid developers have to convey complex task-specific numeric information in a way that minimizes bias and promotes understanding of the options available within a particular decis- aid.Abstract:
BackgroundDecision aid developers have to convey complex task-specific numeric information in a way that minimizes bias and promotes understanding of the options available within a particular decis...read more
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Clarifying Values: An Updated and Expanded Systematic Review and Meta-Analysis:
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 H. Pieterse,Michael Pignone,Thierry Provencher,Charles Racine,Dean A. Regier,Charlotte Rochefort-Brihay,Praveen Thokala,Marieke Geertruida Maria Weernink,Douglas B. White,Celia E. Wills,Jesse Jansen +20 more
TL;DR: In this paper, patient decision aids should help people make evidence-informed decisions aligned with their values, but there is limited guidance about how to achieve such alignment, and the guidance is limited.
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The International Patient Decision Aid Standards (IPDAS) Collaboration: Evidence Update 2.0.
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Numeracy and the Motivational Mind: The Power of Numeric Self-efficacy
TL;DR: The power of numeric self-efficacy (confidence) has been little considered in MDM, but many medical decisions and behaviors require persistence to be successful over time (e.g., comprehension, medical-recommendation adherence) as discussed by the authors .
Journal ArticleDOI
The Impact of Health Literacy–Sensitive Design and Heart Age in a Cardiovascular Disease Prevention Decision Aid: Randomized Controlled Trial and End-User Testing
TL;DR: In this paper , the authors developed and evaluated the first literacy-sensitive CVD prevention decision aid (DA) developed for people with low health literacy, and investigated the impact of literacy sensitive design and heart age.
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Taxonomies for synthesizing the evidence on communicating numbers in health: Goals, format, and structure
Jessica S. Ancker,Natalie C. Benda,M. Sharma,Stephen B. Johnson,Stephanie E. Weiner,Brian J. Zikmund-Fisher +5 more
TL;DR: This article introduces three taxonomy intended to systematize terminology in the literature, derived from an ongoing systematic literature review, and demonstrates how these three taxonomies can be used to resolve ambiguities and apparent contradictions in the Literature.
References
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The Framing of Decisions and the Psychology of Choice
Amos Tversky,Daniel Kahneman +1 more
TL;DR: The psychological principles that govern the perception of decision problems and the evaluation of probabilities and outcomes produce predictable shifts of preference when the same problem is framed in different ways.
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Developing a quality criteria framework for patient decision aids: online international Delphi consensus process
Glyn Elwyn,Annette M. O'Connor,Dawn Stacey,Robert J. Volk,Adrian Edwards,Angela Coulter,Richard Thomson,Alexandra Barratt,Michael J. Barry,Steven J. Bernstein,Phyllis Butow,Aileen Clarke,Vikki Entwistle,Deb Feldman-Stewart,Margaret Holmes-Rovner,Hilary A. Llewellyn-Thomas,Nora Moumjid,Albert G. Mulley,Cornelia M. Ruland,Karen Sepucha,Alan Sykes,Timothy J. Whelan +21 more
TL;DR: Criteria were given the highest ratings where evidence existed, and these were retained, and developers, users, and purchasers of patient decision aids now have a checklist for appraising quality.
Journal ArticleDOI
The Meaning and the Measure of Health Literacy
TL;DR: Computer-assisted testing, which selects items from a bank of possible items according to a baseline-predicted reading ability and responses to previous questions, should allow more accurate measurement of indiidual capacity without increasing the time required to complete testing.
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Shared decision making: really putting patients at the centre of healthcare
Anne M. Stiggelbout,T. van der Weijden,M P T De Wit,Dominick L. Frosch,F Legare,Victor M. Montori,Lyndal Trevena,Glyn Elwyn +7 more
TL;DR: Although many clinicians feel they already use shared decision making, research shows a perception-reality gap and A M Stiggelbout and colleagues discuss why it is important and highlight some best practices.
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Numeric, Verbal, and Visual Formats of Conveying Health Risks: Suggested Best Practices and Future Recommendations
TL;DR: Best practices for conveying magnitude of health risks using numeric, verbal, and visual formats are offered and several recommendations are suggested for enhancing precision in perception of risk by presenting risk magnitudes numerically and visually.