Evidence map›Paper›PMID 29063601›Full record

Observational studyJournal of the American Geriatrics Society2018

Community-Based Palliative Care and Advance Care Planning Documentation: Evidence from a Multispecialty Group.

Ming Tai-Seale, Yan Yang, Ellis Dillon, Sharon Tapper, Steve Lai, Peter Yu, Heather Allore, Christine Ritchie

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Journal of the American Geriatrics Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.2field-weighted citation impact, top 32% 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, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Review
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

8 authors at 4 institutions in 1 country.

Ming Tai-SealeSchool of Medicine, University of California San Diego, San Diego, California.
Yan YangPalo Alto Medical Foundation Research Institute, Palo Alto, California.
Ellis DillonPalo Alto Medical Foundation Research Institute, Palo Alto, California.
Sharon TapperPalo Alto Medical Foundation Palliative Care Program, Palo Alto, California.
Steve LaiPalo Alto Medical Foundation Palliative Care Program, Palo Alto, California.
Peter YuHartford HealthCare Cancer Institute, Hartford, Connecticut.
Heather AlloreSchool of Medicine, Yale University, Hartford, Connecticut.
Christine RitchieSchool of Medicine, University of California San Francisco, San Francisco, California.
Palo Alto Institute · USHartford Hospital · USUniversity of California, San Francisco · USYale University · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Advancing Geriatrics Infrastructure & Network Growth - Admin Supplement: Designing and Testing an Informatics Tool to Aid Prescribers in Reducing Anticholinergic Burden in Older AdultsR24AG045050 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GURWITZ, JERRY H · 2014 to 2017
$3.6M
NCATS NIH HHS UL1 TR001863NCI NIH HHS P30 CA008748NIA NIH HHS R24 AG045050
6 · The paper itself

Abstract

BACKGROUND/

objectivesWith the growing public demand for access to critical health data across care settings, it is essential that advance care planning (ACP) information be included in the electronic health record (EHR) so that multiple clinicians can access it and understand individuals' preferences for end-of-life care. Community-based palliative care programs often incorporate ACP services. This study examined whether a community-based palliative care program is associated with digitally extractable ACP documentation in the EHR.

designObservational study using propensity score-weighted generalized estimation equations to examine patterns of digitally extractable ACP documentation.

settingPalo Alto Medical Foundation (PAMF), a multispecialty ambulatory healthcare system in northern California.

participantsIndividuals aged 65 and older with serious illnesses between January 1, 2013, and December 31, 2014 (N = 3,444).

interventionCommunity-based palliative care program in PAMF. MEASUREMENTS: Digitally extractable ACP in EHR.

resultsWe found that only 14% (n = 483) of individuals with serious illnesses had digitally extractable ACP in electronic health records. Of the 6% of individuals receiving palliative care, 65% had ACP, versus 11% of those not receiving palliative care. Study results showed a strong positive association between palliative care and ACP.

conclusionOnly a small percentage of individuals with serious illnesses had ACP documentation in the EHR. Individuals with serious illnesses infrequently used palliative care delivered by board-certified palliative care specialists. Palliative care service use was associated with higher rates of ACP after controlling for organizational and individual characteristics using a propensity score weighting method. Scalable interventions targeted at non-palliative care clinicians for universal access to ACP are needed.

Indexed as

Advance Care PlanningAgedCaliforniaCommunity Health PlanningDocumentationElectronic Health RecordsFemaleHumansMalePalliative Careadvance care planningelectronic health recordspalliative care

Identifiers

PMID29063601
PMCPMC5809288
OpenAlexW2765897954

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.