Evidence map›Paper›PMID 28542632›Full record

ArticlePloS one2017

Evaluation of a strategy for enrolling the families of critically ill patients in research using limited human resources.

Alison E Turnbull, Mohamed D Hashem, Anahita Rabiee, An To, Caroline M Chessare, Dale M Needham

Registry-linked trialAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04239209 (The Effect of Intensivist Communication on Prognosis Interpretation by Family Members of Patients at High Risk for Intensive Care Unit Admission), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

NCT04239209 nacompletednot on this mapstarted 2019, after this paper: background citation

The Effect of Intensivist Communication on Prognosis Interpretation by Family Members of Patients at High Risk for Intensive Care Unit Admission: A Randomized Trial

TypeinterventionalSponsorJohns Hopkins UniversityRan2019 to 2019Enrolled302ConditionsCritical IllnessArmsIndirect - other patients, Indirect - physiology, Redirection, Direct communication
3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Failures in the Respectful Care of Critically Ill Patients.Joint Commission journal on quality and patient safety · 2019
    Observational
  5. Observational
  6. Article
  7. 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

6 authors.

Alison E TurnbullOutcomes After Critical Illness and Surgery Group, Johns Hopkins University, Baltimore, Maryland, United States of America.ORCID http://orcid.org/0000-0002-1564-6547
Mohamed D HashemOutcomes After Critical Illness and Surgery Group, Johns Hopkins University, Baltimore, Maryland, United States of America.
Anahita RabieeOutcomes After Critical Illness and Surgery Group, Johns Hopkins University, Baltimore, Maryland, United States of America.
An ToOutcomes After Critical Illness and Surgery Group, Johns Hopkins University, Baltimore, Maryland, United States of America.
Caroline M ChessareOutcomes After Critical Illness and Surgery Group, Johns Hopkins University, Baltimore, Maryland, United States of America.
Dale M NeedhamOutcomes After Critical Illness and Surgery Group, Johns Hopkins University, Baltimore, Maryland, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleClinical trials of interventions aimed at the families of intensive care unit (ICU) patients have proliferated but recruitment for these trials can be challenging.

objectivesTo evaluate a strategy for recruiting families of patients currently being treated in an ICU using limited human resources and time-varying daily screening over 7 consecutive days.

methodsWe screened the Johns Hopkins Hospital medical ICU census 7 days per week to identify eligible family members. We then made daily, in-person attempts to enroll eligible families during a time-varying 2-hour enrollment period until families declined participation, consented, or were no longer eligible. MEASUREMENTS AND MAIN

resultsThe primary outcome was the proportion of eligible patients for whom ≥1 family member was enrolled. Secondary outcomes included enrollment of legal healthcare proxies, the consent rate among families approached for enrollment, and success rates for recruiting at different times during the day and week. Among 284 eligible patients, 108 (38%, 95% CI 32%-44%) had ≥1 family member enrolled, and 75 (26%, 95% CI 21%-32%) had their legal healthcare proxy enrolled. Among 117 family members asked to participate, 108 (92%, 95% CI 86%-96%) were enrolled. Patients with versus without an enrolled proxy were more likely to be white (44% vs. 30%, P = .02), live in a zip code with a median income of ≥$100,000 (15% vs. 5%, P = .01), be mechanically ventilated (63% vs. 47%, P = .01), die in the ICU (19% vs. 9%, P = .03), and to have longer ICU stays (median 5.0 vs. 1.8 days, P<.001). Day of the week and time of day were not associated with family presence in the ICU or consent rate.

conclusionsFamily members were recruited for more than one third of eligible patients, and >90% of approached consented to participate. There are important demographic differences between patients with vs without an enrolled family member.

Indexed as

Critical CareCritical IllnessDelivery of Health CareFamilyFemaleHumansIncomeIntensive Care UnitsLength of StayMaleMiddle AgedPersonnel SelectionResearch

Identifiers

PMID28542632
PMCPMC5444627

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Registered trials

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.