Evidence map›Paper›PMID 37901078›Full record

ArticleFrontiers in psychology2023

Academic burnout in psychology and health-allied sciences: the BENDiT-EU program for students and staff in higher education.

Lefki Kourea, Elena C Papanastasiou, Liliana Veronica Diaconescu, Ovidiu Popa-Velea

Abstract read
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
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  3. Article
  4. Article
  5. 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

4 authors.

Lefki KoureaDepartment of Education, University of Nicosia, Nicosia, Cyprus.
Elena C PapanastasiouDepartment of Education, University of Nicosia, Nicosia, Cyprus.
Liliana Veronica DiaconescuDepartment of Medical Psychology, Faculty of Medicine, University of Medicine and Pharmacy "Carol Davila", Bucharest, Romania.
Ovidiu Popa-VeleaDepartment of Medical Psychology, Faculty of Medicine, University of Medicine and Pharmacy "Carol Davila", Bucharest, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studying at university involves demanding academic and clinical training requirements for students from Psychology and other health-allied fields, potentially having severe physical and mental health implications. Existing training programs for addressing burnout have focused thus far on specific areas (e.g., stress management, physical exercise, mindfulness meditation, etc.) with promising outcomes. However, no comprehensive programs have been developed to train students and staff in the early identification of burnout signs and characteristics as well as in self-assessing personal needs and habits (i.e., primary prevention), or in identifying community resources and evidence-based strategies to overcome burnout (i.e., secondary prevention). This paper describes the content development, refinement, and piloting process of the BENDiT-EU program as part of a European collaborative to address academic burnout for health-allied students. Piloting results showed that participants viewed the program positively and provided helpful suggestions for content improvement and training delivery. Future research directions should target experimental investigations of the program's effectiveness and the longitudinal interaction of burnout with other variables (e.g., resilience).

Indexed as

anxietycurriculum traininginterventionmental healthpreventionstressuniversity students

Identifiers

PMID37901078
PMCPMC10613055

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.