Evidence map›Paper›PMID 39767459›Full record

ReviewInternational journal of environmental research and public health2024

Temporal Stages of Burnout: How to Design Prevention?

Céline Leclercq, Isabelle Hansez

Abstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

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

4 citing papers in PubMed.

  1. Burnout in Galician Community Pharmacists.Farmaceuticos comunitarios · 2026
    Observational
  2. Article
  3. Article
  4. 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

2 authors.

Céline LeclercqHuman Resources Development Unit, Faculty of Psychology, Speech Therapy and Education Sciences, University of Liège, 4000 Liège, Belgium.ORCID 0000-0001-8696-8511
Isabelle HansezHuman Resources Development Unit, Faculty of Psychology, Speech Therapy and Education Sciences, University of Liège, 4000 Liège, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Burnout, a major concern defined most commonly in the literature with a symptoms-based classification, can also be described as a temporal process with various stages experienced by workers, each composed of unique characteristics and challenges. This intricate process of burnout emphasizes pivotal moments, such as engagement and enthusiasm with a high job ideal (Stage 0), weakening of the ideal (Stage 1), protective withdrawal (Stage 2) and confirmed burnout (Stage 3). Through an opinion review, the objective of this article is to examine which prevention level, and more specifically which prevention actions, can be developed at each stage of this temporal process of burnout. The review criteria allow for the integration of both individual- and organization-focused interventions, ranging from early organizational-level strategies (primary prevention) to clinical consultations addressing the erosion of professional ideals (secondary prevention), as well as psychoeducational sessions aimed at promoting worker well-being. In conclusion, the article underscores the need for a holistic approach, combining organization-focused interventions with individual-focused interventions. Through a comprehensive review, this research provides insights into evidence-based practices, identifies gaps in current research, and offers guidance for future interventions for better support of workers facing burnout.

Indexed as

Burnout, ProfessionalHumansburnout interventionpreventionreturn-to-workstages

Identifiers

PMID39767459
PMCPMC11675960

What OpenQuestion holds

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LicenceCC BY
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.