Evidence map›Paper›PMID 28936495›Full record

ArticleResearch & reviews. Journal of nursing and health sciences2017

The Accuracy of Nurses' Predictions for Clinical Outcomes in the Chronically Critically Ill.

Amy R Lipson, Sarah J Miano, Barbara J Daly, Sara L Douglas

Abstract read
In one paragraph

Article in Research & reviews. Journal of nursing and health sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Observational
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

4 authors.

Amy R LipsonFPB School of Nursing, Case Western Reserve University, USA.
Sarah J MianoFPB School of Nursing, Case Western Reserve University, USA.
Barbara J DalyFPB School of Nursing, Case Western Reserve University, USA.
Sara L DouglasFPB School of Nursing, Case Western Reserve University, USA.

Funding

Symptom Management and Palliative Care Research in Adults with Advanced DiseaseT32NR014213 · NINR · CASE WESTERN RESERVE UNIVERSITY · PI DALY, BARBARA · 2013 to 2017
$1.6M
Mapping the Complexity of End of Life Transitions in Chronically Critically IllR01NR013322 · NINR · CASE WESTERN RESERVE UNIVERSITY · PI DALY, BARBARA · 2011 to 2012
$805k
NINR NIH HHS R01 NR013322NINR NIH HHS T32 NR014213
6 · The paper itself

Abstract

backgroundAccurately predicting survivorship of patients in the intensive care unit is known to be difficult. Previous research has shown that nurses are more likely to recognize futile medical care than other disciplines. The purpose of this study was to describe the accuracy of nurse's predictions for survival of patients who are chronically critically ill (CCI).

methodsUsing a secondary data analysis from a longitudinal, descriptive study, we evaluated nurses' predictions for survival at admission and until ICU discharge or patient death.

resultsNurses were able to more accurately predict survival of CCI patients than death and prognostication appeared to improve with prolonged ICU stays.

conclusionThis is the first longitudinal study that focused on nurse prognostication in a chronically critically ill patient population. Future research should explore the relationship between ICU nurse characteristics and the accuracy of survival predictions.

Indexed as

Chronically critically illNurse prognosticationSurvival

Identifiers

PMID28936495
PMCPMC5603073

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Registered trials

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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.