Evidence map›Paper›PMID 28943360›Full record

ArticleJournal of pain and symptom management2018

Advance Care Planning Documentation Practices and Accessibility in the Electronic Health Record: Implications for Patient Safety.

Evan Walker, Ryan McMahan, Deborah Barnes, Mary Katen, Daniela Lamas, Rebecca Sudore

Abstract read
In one paragraph

Article in Journal of pain and symptom management, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Article
  10. Increasing Advance Care Planning Discussions and Documentation.Journal of the advanced practitioner in oncology · 2025
    Article
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  15. Perceptions and experiences of onco-haematology professionals in relation to advance care planning: a qualitative study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Evan WalkerDepartment of Medicine, UCSF, San Francisco, California. Electronic address: Evan.Walker@ucsf.edu.
Ryan McMahanUCSF School of Medicine, San Francisco, California.
Deborah BarnesSan Francisco Veterans Affairs Medical Center, San Francisco, California; Department of Psychiatry, UCSF, San Francisco, California; Department of Epidemiology & Biostatistics, UCSF, San Francisco, California.
Mary KatenDivision of Geriatrics, Department of Medicine, UCSF, San Francisco, California.
Daniela LamasDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts; Ariadne Labs at Brigham and Women's Hospital and Harvard T.H. Chen School of Public Health, Boston, Massachusetts.
Rebecca SudoreSan Francisco Veterans Affairs Medical Center, San Francisco, California; Division of Geriatrics, Department of Medicine, UCSF, San Francisco, California.

Funding

VARC CoreP30AG044281 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI W. JOHN BOSCARDIN · 2013 to 2026
$19.9M
Mentoring Researchers in Advance Care Planning for Underrepresented Older Adults at Risk for Alzheimer’s Disease and Related Dementias and Their CaregiversK24AG054415 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI REBECCA L SUDORE · 2017 to 2026
$1.7M
NIA NIH HHS K24 AG054415NIA NIH HHS P30 AG044281
6 · The paper itself

Abstract

contextDocumenting patients' advance care planning (ACP) wishes is essential to providing value-aligned care, as is having this documentation readily accessible. Little is known about ACP documentation practices in the electronic health record.

objectivesThe objective of this study was to describe ACP documentation practices and the accessibility of documented discussions in the electronic health record.

methodsParticipants were primary care patients at the San Francisco Veterans Affairs Medical Center, were ≥60 years old, and had ≥2 chronic/serious health conditions. In this cross-sectional study, we assessed the prevalence of ACP documentation, including any legal forms/orders and discussions in the prior five years. We also determined accessibility of discussions (i.e., accessible centralized posting vs. inaccessible free text in progress notes).

resultsThe mean age of 414 participants was 71 years (SD ± 8), 9% were women, 43% were nonwhite, and 51% had documented ACP including 149 (36%) with forms/orders and 138 (33%) with discussions. Seventy-four participants (50%) with forms/orders lacked accompanying explanatory documentation. Most (55%) discussions were not easily accessible, including 70% of those documenting changes in treatment preferences from prior forms/orders.

conclusionHalf of chronically ill, older participants had documented ACP, including one-third with documented discussions. However, half of the patients with completed legal forms/orders had no accompanying documented explanatory discussions, and the majority of documented discussions were not easily accessible, even when wishes had changed. Ensuring that patients' preferences are documented and easily accessible is an important patient safety and quality improvement target to ensure patients' wishes are honored.

Indexed as

Advance Care PlanningDocumentationElectronic Health RecordsAgedChronic DiseaseCross-Sectional StudiesFemaleHumansMaleMiddle AgedPatient-Centered CarePatient SafetyPrimary Health CareRetrospective StudiesVeteransAdvance care planningadvance directivedocumentation accessibilityelectronic health recordpatient safetyprimary care

Identifiers

PMID28943360
PMCPMC5794631

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.