Evidence map›Paper›PMID 34706769›Full record

ArticleJournal of eating disorders2021

Burnout among staff on specialized eating disorder units in Norway.

Trine Wiig Hage, Karin Isaksson Rø, Øyvind Rø

Abstract read
In one paragraph

Article in Journal of eating disorders, 2021. 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
–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

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

  1. Pooled it
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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.

Trine Wiig HageDivision of Mental Health and Addiction, Regional Department for Eating Disorders, Oslo University Hospital, Nydalen, P.O. Box 4956, 0424, Oslo, Norway. uxwitr@ous-hf.no.ORCID http://orcid.org/0000-0003-3712-5950
Karin Isaksson RøLEFO - Institute for Studies of the Medical Profession, Oslo, Norway.
Øyvind RøDivision of Mental Health and Addiction, Regional Department for Eating Disorders, Oslo University Hospital, Nydalen, P.O. Box 4956, 0424, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveBurnout is commonly associated with low workplace wellbeing. Patients with eating disorders are frequently referred to as a particularly challenging group to treat. It is therefore important to study healthcare providers´ workplace wellbeing in settings which treat eating disorders. The aims of the current study were to (a) measure burnout among healthcare providers working on specialized eating disorder units in Norway, and (b) explore factors predicting burnout.

methods186 participants from 11 specialized eating disorder units in Norway completed an online survey including the Mashlach Burnout Inventory, and eating disorder-specific factors related to burnout, job satisfaction, work environment, emotional dissonance and stress. Multiple regression analysis was used to identify predictors of burnout.

resultsOverall, low levels of burnout were found among the participants. Eating disorder-specific factors and emotional dissonance predicted the three central aspects of burnout, namely, emotional exhaustion, depersonalization, and a diminished sense of personal accomplishment.

conclusionsFindings suggest a relatively low level of burnout across age, gender, and professional categories working at specialized eating disorder units, contrary to commonly-held assumptions pertaining to the challenges involved in treating individuals with eating disorders.

Indexed as

BurnoutEating disordersEmotional dissonanceHealthcare providersJob satisfactionSpecialized eating disorder unitsWork environment

Identifiers

PMID34706769
PMCPMC8555148

What OpenQuestion holds

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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.