Evidence map›Paper›PMID 28406727›Full record

ArticleAnnals of the American Thoracic Society2017

The Experience of Patients with Alcohol Misuse after Surviving a Critical Illness. A Qualitative Study.

Brendan J Clark, Jacqueline Jones, K Diandra Reed, Rachel Hodapp, Ivor S Douglas, David Van Pelt, Ellen L Burnham, Marc Moss

Abstract read
In one paragraph

Article in Annals of the American Thoracic Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 39% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Observational
  4. Article
  5. Article
  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

8 authors at 5 institutions in 1 country.

Brendan J Clark1 Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado, Aurora, Colorado.
Jacqueline Jones2 University of Colorado College of Nursing, Denver, Colorado.
K Diandra Reed1 Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado, Aurora, Colorado.
Rachel Hodapp1 Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado, Aurora, Colorado.
Ivor S Douglas1 Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado, Aurora, Colorado.
David Van Pelt4 Medical Center of Aurora, Aurora, Colorado.
Ellen L Burnham1 Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado, Aurora, Colorado.
Marc Moss1 Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado, Aurora, Colorado.
University of Colorado Anschutz Medical Campus · USColorado College · USDenver Health Medical Center · USEmory University · USThe Medical Center of Aurora · US

Funding

Training Clinicians in Implementation Research to Improve Alcohol-related CareK24AA022128 · NIAAA · KAISER FOUNDATION RESEARCH INSTITUTE · PI BRADLEY, KATHARINE ANTHONY · 2016 to 2020
$876k
Tailored Screening, Brief Intervention, and Referral to Treatment for Medical IntK23AA021814 · NIAAA · UNIVERSITY OF COLORADO DENVER · PI CLARK, BRENDAN JAMES · 2014 to 2017
$688k
NIAAA NIH HHS K23 AA021814NIAAA NIH HHS K24 AA022128
6 · The paper itself

Abstract

rationaleAlcohol misuse is common in patients admitted to the intensive care unit (ICU), but there is currently no evidence-based approach to address drinking in ICU survivors.

objectivesWe sought to describe the experience of ICU survivors with alcohol misuse during their hospitalization and the 3 months after hospital discharge to inform an alcohol-specific intervention for this unique population.

methodsWe conducted a descriptive qualitative study of ICU survivors from medical ICUs in three separate hospitals with a positive screening result on the Alcohol Use Disorders Identification Test. Semistructured interviews were conducted 3 months after hospital discharge of patients. Patients were also allowed to nominate up to two friends or family members for enrollment to provide additional perspective on the patient's experience.

resultsWe enrolled 50 patients and 22 of their friends and/or family members. The average APACHE II score was 23, 80% of patients were male, and the average age was 50 years; 70% of patients and 77% of friends/family members completed the semistructured interview 3 months after hospital discharge. We identified three domains that could inform an alcohol-specific intervention, each with multiple themes: motivation with complications (anxiety and depression, critical illness as a catalyst, delirium and cognitive impairment); therapeutic alliance (autonomy, failure and opportunities to build a therapeutic alliance); and the return to the home milieu (lack of screening for depression and anxiety, social network support for drinking, social isolation, social network support for abstinence, lack of available and affordable treatment, and negative experiences with Alcoholics Anonymous).

conclusionsAn alcohol intervention for ICU survivors would account for the context in which patients are making a decision about their drinking and optimize the patient-provider interaction. Contrary to current paradigms that focus on addressing alcohol consumption only during a hospitalization, an intervention for ICU survivors should continue as patients transition from the hospital to home.

Indexed as

Critical IllnessAlcoholismFemaleHumansIntensive Care UnitsMaleMiddle Agedalcohol abstinencealcohol consumptionalcoholicslife change events

Identifiers

PMID28406727
PMCPMC5566292
OpenAlexW2605683803

What OpenQuestion holds

Textmetadata
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.