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<p>The Agency for Healthcare Research and Quality encouraged a re-examination of the concept, process, and measurement of shared decision-making (SDM) in 2016. Progress, however, has been slow. One illustrative example is SDM’s relationship with the concept of equipoise: there remains little consensus on what equipoise means in the context of SDM, creating confusion about when SDM is and is not indicated. In this paper, we describe the ways in which this focus on equipoise in SDM is counter-productive and argue that equipoise is neither a necessary nor sufficient criterion in determining the need for SDM. Moreover, we suggest that what is needed to move the field of SDM forward is a shift away from focusing on when SDM is needed to instead focusing on how best to accomplish SDM across a variety of contexts by advancing the science of SDM implementation.</p>

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Saving Shared Decision-Making

  • 期刊论文

  • 发表日期：

    2025年2月14日

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  • Douglas J. Opel,
  • Maya T. Gerstein,
  • Adam C. Carle,
  • Alaina K. Fournier,
  • Ian Hargraves,
  • Jennifer E. Lafata,
  • Ellen A. Lipstein,
  • Trudy Mallinson,
  • Nathalie Moise,
  • Heather B. Neuman,
  • Mary Nix,
  • Christina Papadimitriou,
  • Laura Scherer,
  • Karen Sepucha,
  • Matthew Simpson,
  • Alan Schwartz,
  • Jennifer E. Stevens-Lapsley,
  • Neal W. Dickert

摘要

The Agency for Healthcare Research and Quality encouraged a re-examination of the concept, process, and measurement of shared decision-making (SDM) in 2016. Progress, however, has been slow. One illustrative example is SDM’s relationship with the concept of equipoise: there remains little consensus on what equipoise means in the context of SDM, creating confusion about when SDM is and is not indicated. In this paper, we describe the ways in which this focus on equipoise in SDM is counter-productive and argue that equipoise is neither a necessary nor sufficient criterion in determining the need for SDM. Moreover, we suggest that what is needed to move the field of SDM forward is a shift away from focusing on when SDM is needed to instead focusing on how best to accomplish SDM across a variety of contexts by advancing the science of SDM implementation.