Evidence map›Paper›PMID 27788935›Full record

ArticleHeart & lung : the journal of critical care

Caregivers' perceptions of illness severity and end of life service utilization in advanced heart failure.

Windy Alonso, Judith E Hupcey, Lisa Kitko

Abstract read
In one paragraph

Article in Heart & lung : the journal of critical care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 3 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

8 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Observational
  5. Review
  6. Agreement between Heart Failure Patients and Their Primary Caregivers on Symptom Assessment.International journal of community based nursing and midwifery · 2018
    Article
  7. Article
  8. 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

3 authors.

Windy AlonsoPennsylvania State University College of Nursing, 1300ASB/A110 90 Hope Drive, Hershey, PA 17033, USA. Electronic address: wwa103@psu.edu.
Judith E HupceyPennsylvania State University College of Nursing, 1300ASB/A110 90 Hope Drive, Hershey, PA 17033, USA.
Lisa KitkoPenn State College of Nursing, 307H Nursing Sciences Building, University Park, PA 16802, USA.

Funding

Palliative care algorithms for HF dyads: 1-year versus 2-year predicted survivalR01NR013419 · NINR · PENNSYLVANIA STATE UNIVERSITY, THE · PI HUPCEY, JUDITH E · 2011 to 2014
$1.6M
NINR NIH HHS R01 NR013419
6 · The paper itself

Abstract

objectivesTo assess perceptions of illness severity and terminality in caregivers of advanced heart failure (HF) patients and how these perceptions influence utilization of palliative care and end-of life services.

backgroundHF is a terminal disease; yet patients and caregivers do not understand the severity of HF or acknowledge disease terminality.

methodsThis study was conducted using a qualitative design with in-depth interviews and content analysis.

resultsMost caregivers did not understand the severity of HF (68%) or disease terminality (67%). Patients were more likely to receive services when their caregivers expressed an understanding of illness severity and/or terminality.

conclusionsInclusion of caregivers in discussions of goals of care, advance care planning, and palliative care and end-of-life services with patients and providers is imperative.

Indexed as

PerceptionQuality of LifeCaregiversHeart FailureHumansSeverity of Illness IndexTerminal CareAdvanced heart failureCaregiver perceptions of illness severityEnd-of-life servicesPalliative careService utilization

Identifiers

PMID27788935
PMCPMC5167641

What OpenQuestion holds

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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.