Evidence map›Paper›PMID 34390489›Full record

ArticleJournal of the American Geriatrics Society2021

Family members' experience improves with care preference documentation in home based primary care.

Cari Levy, Aryan Esmaeili, Dawn Smith, Robert Hogikyan, Vyjeyanthi Periyakoil, Joan G Carpenter, Anne Sales, Mary Ersek

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 23% of its field
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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Disparities in advance care planning among older US immigrants.Journal of the American Geriatrics Society · 2023
    Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 1 country.

Cari LevyDepartment of Veterans Affairs, Rocky Mountain Regional VA Medical Center, Aurora, Colorado, USA.ORCID 0000-0002-7485-280X
Aryan EsmaeiliDepartment of Veterans Affairs, Palo Alto, California, USA.
Dawn SmithVeteran Experience Center, Department of Veterans Affairs, Philadelphia, Pennsylvania, USA.
Robert HogikyanDepartment of Veterans Affairs, Ann Arbor VA Medical Center, Ann Arbor, Michigan, USA.
Vyjeyanthi PeriyakoilDepartment of Veterans Affairs, Palo Alto, California, USA.
Joan G CarpenterUniversity of Maryland School of Nursing, Baltimore, Maryland, USA.ORCID 0000-0002-8039-9466
Anne SalesDepartment of Veterans Affairs, Ann Arbor Center for Clinical Management Research, Ann Arbor, Michigan, USA.
Mary ErsekVeteran Experience Center, Department of Veterans Affairs, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-0520-311X
Palo Alto Veterans Institute for Research · USVeterans Health Administration · USAnn Arbor VA Medical Center · USDenver VA Medical Center · USUniversity of Maryland, Baltimore · USVA Center for Clinical Management Research · US

Funding

Stanford Medicine Center for Longevity and Healthy Aging Research Education CoreP30AG059307 · NIA · STANFORD UNIVERSITY · PI PERIYAKOIL, VYJEYANTHI S, YESAVAGE, JEROME A · 2018 to 2025
$4.9M
HSRD VA IP1 HX001980HSRD VA QUE-15-288NIA NIH HHS P30 AG059307
6 · The paper itself

Abstract

backgroundThe Veterans Health Administration (VA) implemented the comprehensive life-sustaining treatment (LST) Decisions Initiative to provide training and standardize documentation of goals of care and LST preferences for seriously ill Veterans to improve end-of-life (EOL) outcomes. LST documentation is expected for all Home-Based Primary Care (HBPC) Veterans because they are at high risk of hospitalization and mortality.

methodsA retrospective, cross-sectional analysis compared associations between Bereaved Family Survey (BFS) EOL care ratings and LST documentation. Participants were Veterans who died August 1, 2018 through September 30, 2019 in one of 55 VA HBPC programs. Regression modeling generated odds for key BFS outcomes. LST template completion rate was plotted by month to understand the interaction between time, LST completion rate, and EOL care family ratings.

resultsLST preferences were documented for 39% of HBPC Veterans. Family members rated overall EOL care as excellent for 53% of Veterans but significant divergence in BFS ratings occurred during the last 7 months of the study with 60% of family members of LST completers rating care as excellent compared with 48% for Veterans lacking LST documentation (p = 0.003). The adjusted odds of rating overall care in the final month of life as excellent was higher among those with a completed LST template (1.64 95% CI 1.19, 2.26).

conclusionsHigher rates of LST documentation were associated with more favorable ratings of EOL but not in initial months following implementation of the comprehensive initiative; however, LST documentation rates were lower than expected among HBPC Veterans. Following an initial period of implementation of a comprehensive national initiative to promote Veteran choice about care during serious illness, documented LST preferences were associated with better family ratings of EOL care. HBPC clinicians may improve the bereaved family experience by using LSDTI tools and training to elicit and document preferences.

Indexed as

AgedCross-Sectional StudiesDocumentationFemaleHome Care ServicesHumansLife Support CareMaleMilitary FamilyPatient Care PlanningPatient PreferencePrimary Health CareRetrospective StudiesTerminal CareUnited StatesUnited States Department of Veterans Affairsadvance directivesbereavementgoals of carehome-based primary careVeteran

Identifiers

PMID34390489
PMCPMC9794361
OpenAlexW3193118407

What OpenQuestion holds

Textmetadata
LicenceTDM
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.