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Review ArticleClinical Review

Prognostic Indices for Advance Care Planning in Primary Care: A Scoping Review

Peter Kim, Jeanette M. Daly, Maresi A. Berry-Stoelzle, Megan E. Schmidt, LeAnn C. Michaels, David A. Dorr and Barcey T. Levy
The Journal of the American Board of Family Medicine March 2020, 33 (2) 322-338; DOI: https://doi.org/10.3122/jabfm.2020.02.190173
Peter Kim
From the Department of Family Medicine, University of Iowa Carver College of Medicine, Iowa City, IA (PK, JMD, MAB-S, MES, BTL); Department of Epidemiology, University of Iowa College of Public Health, Iowa City, IA (BTL); Oregon Rural Practice-based Research Network, Oregon Health & Science University, Portland, OR (LCM); Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR (DAD).
MD, MPH
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Jeanette M. Daly
From the Department of Family Medicine, University of Iowa Carver College of Medicine, Iowa City, IA (PK, JMD, MAB-S, MES, BTL); Department of Epidemiology, University of Iowa College of Public Health, Iowa City, IA (BTL); Oregon Rural Practice-based Research Network, Oregon Health & Science University, Portland, OR (LCM); Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR (DAD).
PhD, RN
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Maresi A. Berry-Stoelzle
From the Department of Family Medicine, University of Iowa Carver College of Medicine, Iowa City, IA (PK, JMD, MAB-S, MES, BTL); Department of Epidemiology, University of Iowa College of Public Health, Iowa City, IA (BTL); Oregon Rural Practice-based Research Network, Oregon Health & Science University, Portland, OR (LCM); Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR (DAD).
PhD, MD
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Megan E. Schmidt
From the Department of Family Medicine, University of Iowa Carver College of Medicine, Iowa City, IA (PK, JMD, MAB-S, MES, BTL); Department of Epidemiology, University of Iowa College of Public Health, Iowa City, IA (BTL); Oregon Rural Practice-based Research Network, Oregon Health & Science University, Portland, OR (LCM); Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR (DAD).
MEd, MPH
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LeAnn C. Michaels
From the Department of Family Medicine, University of Iowa Carver College of Medicine, Iowa City, IA (PK, JMD, MAB-S, MES, BTL); Department of Epidemiology, University of Iowa College of Public Health, Iowa City, IA (BTL); Oregon Rural Practice-based Research Network, Oregon Health & Science University, Portland, OR (LCM); Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR (DAD).
BS
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David A. Dorr
From the Department of Family Medicine, University of Iowa Carver College of Medicine, Iowa City, IA (PK, JMD, MAB-S, MES, BTL); Department of Epidemiology, University of Iowa College of Public Health, Iowa City, IA (BTL); Oregon Rural Practice-based Research Network, Oregon Health & Science University, Portland, OR (LCM); Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR (DAD).
MD, MS
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Barcey T. Levy
From the Department of Family Medicine, University of Iowa Carver College of Medicine, Iowa City, IA (PK, JMD, MAB-S, MES, BTL); Department of Epidemiology, University of Iowa College of Public Health, Iowa City, IA (BTL); Oregon Rural Practice-based Research Network, Oregon Health & Science University, Portland, OR (LCM); Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, Portland, OR (DAD).
PhD, MD
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Abstract

Background: Patient identification is an important step for advance care planning (ACP) discussions.

Objectives: We conducted a scoping review to identify prognostic indices potentially useful for initiating ACP.

Methods: We included studies that developed and/or validated a multivariable prognostic index for all-cause mortality between 6 months and 5 years in community-dwelling adults. PubMed was searched in October 2018 for articles meeting our search criteria. If a systematic review was identified from the search, we checked for additional eligible articles in its references. We abstracted data on population studied, discrimination, calibration, where to find the index, and variables included. Each index was further assessed for clinical usability.

Results: We identified 18 articles with a total of 17 unique prognostic indices after screening 9154 titles. The majority of indices (88%) had c-statistics greater than or equal to 0.70. Only 1 index was externally validated. Ten indices, 8 developed in the United States and 2 in the United Kingdom, were considered clinically usable.

Conclusion: Of the 17 unique prognostic indices, 10 may be useful for implementation in the primary care setting to identify patients who may benefit from ACP discussions. An index classified as “clinically usable” may not be easy to use because of a large number of variables that are not routinely collected and the need to program the index into the electronic medical record.

  • Advance Care Planning
  • Electronic Health Records
  • Independent Living
  • Primary Health Care
  • Prognosis
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The Journal of the American Board of Family  Medicine: 33 (2)
The Journal of the American Board of Family Medicine
Vol. 33, Issue 2
March/April 2020
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Prognostic Indices for Advance Care Planning in Primary Care: A Scoping Review
Peter Kim, Jeanette M. Daly, Maresi A. Berry-Stoelzle, Megan E. Schmidt, LeAnn C. Michaels, David A. Dorr, Barcey T. Levy
The Journal of the American Board of Family Medicine Mar 2020, 33 (2) 322-338; DOI: 10.3122/jabfm.2020.02.190173

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Prognostic Indices for Advance Care Planning in Primary Care: A Scoping Review
Peter Kim, Jeanette M. Daly, Maresi A. Berry-Stoelzle, Megan E. Schmidt, LeAnn C. Michaels, David A. Dorr, Barcey T. Levy
The Journal of the American Board of Family Medicine Mar 2020, 33 (2) 322-338; DOI: 10.3122/jabfm.2020.02.190173
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  • Advance Care Planning
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