Evidence map›Paper›PMID 25711431›Full record

ArticlePalliative & supportive care2015

Infomarkers for transition to goals consistent with palliative care in dying patients.

Yingwei Yao, Janet Stifter, Miriam O Ezenwa, Muhammad Lodhi, Ashfaq Khokhar, Rashid Ansari, Gail M Keenan, Diana J Wilkie

Open access · hybridAbstract read
In one paragraph

Article in Palliative & supportive care, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Article
  5. Article
  6. Article
  7. HPNA 2019-2022 Research Agenda: Development and Rationale.Journal of hospice and palliative nursing : JHPN : the official journal of the Hospice and Palliative Nurses Association · 2019
    Article
  8. Article
  9. Article
  10. Outcomes for End-of-Life Patients with Anticipatory Grieving: Insights from Practice with Standardized Nursing Terminologies within an Interoperable Internet-based Electronic Health Record.Journal of hospice and palliative nursing : JHPN : the official journal of the Hospice and Palliative Nurses Association · 2017
    Article
  11. Article
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 2 institutions in 1 country.

Yingwei YaoDepartment of Biobehavioral Health Science,University of Illinois at Chicago,Chicago,Illinois.
Janet StifterDepartment of Health System Science,College of Nursing,University of Illinois at Chicago,Chicago,Illinois.
Miriam O EzenwaDepartment of Biobehavioral Health Science,University of Illinois at Chicago,Chicago,Illinois.
Muhammad LodhiDepartment of Computer Science,University of Illinois at Chicago,Chicago,Illinois.
Ashfaq KhokharDepartment of Electrical and Computer Engineering,College of Engineering,University of Illinois at Chicago,Chicago,Illinois.
Rashid AnsariDepartment of Electrical and Computer Engineering,College of Engineering,University of Illinois at Chicago,Chicago,Illinois.
Gail M KeenanDepartment of Health System Science,College of Nursing,University of Illinois at Chicago,Chicago,Illinois.
Diana J WilkieDepartment of Biobehavioral Health Science,University of Illinois at Chicago,Chicago,Illinois.
University of Illinois Chicago · USUniversity of Florida · US

Funding

Describing, Contrasting, and Visualizing End-of-Life Care in the 21st CenturyR01NR012949 · NINR · UNIVERSITY OF ILLINOIS AT CHICAGO · PI ANSARI, RASHID, KEENAN, GAIL M · 2011 to 2014
$2.0M
NINR NIH HHS 1R01 NR012949NINR NIH HHS R01 NR012949
6 · The paper itself

Abstract

objectiveElectronic health records (EHRs) may contain infomarkers that identify patients near the end of life for whom it would be appropriate to shift care goals to palliative care. Discovery and use of such infomarkers could be used to conduct effectiveness research that ultimately could help to reduce the monumental cost of caring for the dying. The aim of our study was to identify changes in the plans of care that represent infomarkers, which signal a transition of care goals from nonpalliative care ones to those consistent with palliative care.

methodUsing an existing electronic health record database generated during a two-year longitudinal study of nine diverse medical-surgical units from four Midwest hospitals and a known group approach, we evaluated patient care episodes for 901 patients who died (mean age = 74.5 ± 14.6 years). We used ANOVA and Tukey's post-hoc tests to compare patient groups.

resultsWe identified 11 diagnoses, including Death Anxiety and Anticipatory Grieving, whose addition to the care plan, some of which also occurred with removal of nonpalliative care diagnoses, represent infomarkers of transition to palliative care goals. There were four categories of patients, those who had: no infomarkers on plans (n = 507), infomarkers added on the admission plan (n = 194), infomarkers added on a post-admission plan (minor transitions, n = 109), and infomarkers added and nonpalliative care diagnoses removed on a post-admission plan (major transition, n = 91). Age, length of stay, and pain outcomes differed significantly for these four categories of patients. SIGNIFICANCE OF

resultsEHRs contain pertinent infomarkers that if confirmed in future studies could be used for timely referral to palliative care for improved focus on comfort outcomes and to identify palliative care subjects from data repositories in order to conduct big-data research, comparative effectiveness studies, and health-services research.

Indexed as

Terminally IllAdultAgedAged, 80 and overDatabases, FactualData Interpretation, StatisticalElectronic Health RecordsHealth Information ManagementHospital MortalityHumansLongitudinal StudiesMiddle AgedMidwestern United StatesNursing DiagnosisPalliative CarePatient Care PlanningElectronic health recordsInfomarkerInformation markerNursingPalliative care

Identifiers

PMID25711431
PMCPMC4685252
OpenAlexW2079565794

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.