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Communication tools for end-of-life decision-making in the intensive care unit: a systematic review and meta-analysis

Overview of attention for article published in Critical Care, April 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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92 X users
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2 Facebook pages

Citations

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73 Dimensions

Readers on

mendeley
202 Mendeley
Title
Communication tools for end-of-life decision-making in the intensive care unit: a systematic review and meta-analysis
Published in
Critical Care, April 2016
DOI 10.1186/s13054-016-1264-y
Pubmed ID
Authors

Simon J. W. Oczkowski, Han-Oh Chung, Louise Hanvey, Lawrence Mbuagbaw, John J. You

Abstract

For many patients admitted to the intensive care unit (ICU), preferences for end-of-life care are unknown, and clinicians and substitute decision-makers are required to make decisions about the goals of care on their behalf. We conducted a systematic review to determine the effect of structured communication tools for end-of-life decision-making, compared to usual care, upon the number of documented goals of care discussions, documented code status, and decisions to withdraw life-sustaining treatments, in adult patients admitted to the ICU. We searched multiple databases including MEDLINE, Embase, CINAHL, ERIC, and Cochrane from database inception until July 2014. Two reviewers independently screened articles, assessed eligibility, verified data extraction, and assessed risk of bias using the tool described by the Cochrane Collaboration and the Newcastle Ottawa Scale. Pooled estimates of effect (relative risk, standardized mean difference, or mean difference), were calculated where sufficient data existed. GRADE was used to evaluate the overall quality of evidence for each outcome. We screened 5785 abstracts and reviewed the full text of 424 articles, finding 168 eligible articles, including 19 studies in the ICU setting. The use of communication tools increased documentation of goals-of-care discussions (RR 3.47, 95 % CI 1.55, 7.75, p = 0.020, very low-quality evidence), but did not have an effect on code status documentation (RR 1.03, 95 % CI 0.96, 1.10, p = 0.540, low-quality evidence) or decisions to withdraw or withhold life-sustaining treatments (RR 0.98, 95 % CI 0.89, 1.08, p = 0.70, low-quality evidence). The use of such tools was associated with a decrease in multiple measures of health care resource utilization, including duration of mechanical ventilation (MD -1.9 days, 95 % CI -3.26, -0.54, p = 0.006, very low-quality evidence), length of ICU stay (MD -1.11 days, 95 % CI -2.18, -0.03, p = 0.04, very low-quality evidence), and health care costs (SMD -0.32, 95 % CI -0.5, -0.15, p < 0.001, very low-quality evidence). Structured communication tools may improve documentation of EOL decision making and may result in lower resource use. The supporting evidence is low to very low in quality. Further high-quality randomized studies of simple communication interventions are needed to determine whether structured, rather than ad hoc, approaches to end-of-life decision-making improve patient-level, family-level, and system-level outcomes. PROSPERO CRD42014012913.

X Demographics

X Demographics

The data shown below were collected from the profiles of 92 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 202 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Unknown 201 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 13%
Other 23 11%
Researcher 22 11%
Student > Bachelor 18 9%
Student > Ph. D. Student 15 7%
Other 45 22%
Unknown 53 26%
Readers by discipline Count As %
Medicine and Dentistry 70 35%
Nursing and Health Professions 35 17%
Social Sciences 13 6%
Economics, Econometrics and Finance 10 5%
Psychology 7 3%
Other 10 5%
Unknown 57 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 56. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 June 2016.
All research outputs
#760,536
of 25,466,764 outputs
Outputs from Critical Care
#548
of 6,567 outputs
Outputs of similar age
#13,593
of 315,890 outputs
Outputs of similar age from Critical Care
#11
of 97 outputs
Altmetric has tracked 25,466,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,567 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one has done particularly well, scoring higher than 91% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 315,890 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.