Evidence map›Paper›PMID 28979372›Full record

ArticleJournal of the Intensive Care Society2015

Employment, social dependency and return to work after intensive care.

Tara Quasim, Judith Brown, John Kinsella

Abstract read
In one paragraph

Article in Journal of the Intensive Care Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. The Covid-19 pandemic seen from the frontline.International braz j urol : official journal of the Brazilian Society of Urology · 2020
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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.

Tara QuasimAcademic Unit of Anaesthesia, Pain & Critical Care Medicine, School of Medicine, University of Glasgow, Glasgow, UK.
Judith BrownHealthy Working Lives Group, Institute of Health and Wellbeing, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow, UK.
John KinsellaAcademic Unit of Anaesthesia, Pain & Critical Care Medicine, School of Medicine, University of Glasgow, Glasgow, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quality of life is an important measure of outcome in intensive care survivors. As return to employment is a key determinant of quality of life, we performed a prospective observational, cohort study of 75 intensive care unit patients who survived to hospital discharge. Approximately 2 years after intensive care unit discharge, 64% (18/28) of those employed before intensive care unit had returned to work. Of the rest, 10 were not working, two were unemployed, one was temporarily sick and seven were permanently sick. When health utility scores were assessed in the various employment categories, quality of life was particularly poor in the unemployed and permanently sick with median (interquartile range) scores of 0.082(-0.045-0.665) and 0.053(-0.160-0.769) respectively. Of the retired population, 95% returned to their own home with 50% requiring a family member to act as their carer. This study has demonstrated that patients who returned to work after a critical illness had a better quality of life at follow up, compared to the unemployed and permanently sick. In addition, there may be a burden on family members who act as carers for their relatives on discharge from hospital after a critical illness. Further work is required in this important area.

Indexed as

critical careoccupational statusquality of liferehabilitationReturn to work

Identifiers

PMID28979372
PMCPMC5593291

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.