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Patient Identification for Serious Illness Conversations: A Scoping Review. | LitMetric

Patient Identification for Serious Illness Conversations: A Scoping Review.

Int J Environ Res Public Health

Center for Collaborative Palliative Care, Department of Health and Caring Sciences, Linnaeus University, 35195 Växjö, Sweden.

Published: March 2022

AI Article Synopsis

  • - Serious illness conversations are designed to better align medical treatment with what patients value and prefer, but effective methods to identify patients in need of these conversations are not well-studied or compared across different settings.
  • - A scoping review analyzed literature from 2014 to 2021 and found that common methods for identifying patients include clinical triggers, the 'surprise question', or a combination of methods, with contributions from various healthcare staff and automated tools.
  • - The study highlighted both facilitative factors and barriers in the patient identification process, suggesting that future research should evaluate how to improve identification methods and better understand clinicians' decision-making in this area.

Article Abstract

Serious illness conversations aim to align medical care and treatment with patients' values, goals, priorities, and preferences. Timely and accurate identification of patients for serious illness conversations is essential; however, existent methods for patient identification in different settings and population groups have not been compared and contrasted. This study aimed to examine the current literature regarding patient identification for serious illness conversations within the context of the Serious Illness Care Program and/or the Serious Illness Conversation Guide. A scoping review was conducted using the Joanna Briggs Institute guidelines. A comprehensive search was undertaken in four databases for literature published between January 2014 and September 2021. In total, 39 articles met the criteria for inclusion. This review found that patients were primarily identified for serious illness conversations using clinical/diagnostic triggers, the 'surprise question', or a combination of methods. A diverse assortment of clinicians and non-clinical resources were described in the identification process, including physicians, nurses, allied health staff, administrative staff, and automated algorithms. Facilitators and barriers to patient identification are elucidated. Future research should test the efficacy of adapted identification methods and explore how clinicians inform judgements surrounding patient identification.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8998898PMC
http://dx.doi.org/10.3390/ijerph19074162DOI Listing

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