Evidence map›Paper›PMID 40362072›Full record

ArticleAnimals : an open access journal from MDPI2025

Workplace Strategies to Reduce Burnout in Veterinary Nurses and Technicians: A Delphi Study.

Angela J Chapman, Pauleen C Bennett, Vanessa I Rohlf

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Angela J ChapmanSchool of Psychology and Public Health, La Trobe University, Bundoora, VIC 3086, Australia.ORCID 0000-0002-0249-9875
Pauleen C BennettSchool of Psychology and Public Health, La Trobe University, Bundoora, VIC 3086, Australia.ORCID 0000-0001-5864-4464
Vanessa I RohlfSchool of Psychology and Public Health, La Trobe University, Bundoora, VIC 3086, Australia.ORCID 0000-0001-6707-0757

Funding

Australian Government N/A
6 · The paper itself

Abstract

Veterinary nurses and technicians are at risk of burnout, which negatively impacts mental and physical health, turnover, and patient care. Workplace contributors to burnout have been identified in this population, but little is known about best practice management strategies. This study used the Delphi method to explore barriers to addressing burnout and develop expert recommendations for workplace management strategies. Forty participants with a minimum of 5 years' industry experience in leadership, or wellbeing, were recruited via purposive sampling from the USA, UK, Australia, New Zealand, and Canada. Participants completed two anonymous, online, mixed-methods surveys between October 2024 and January 2025. Qualitative survey data were analysed using content analysis to identify codes and categorise solutions. Quantitative data were analysed using descriptive statistics. Barriers to addressing burnout included industry-wide barriers, such as lack of, or unclear, regulation and lack of leadership knowledge, and clinic-specific barriers, such as poor team culture, unwillingness for change, and existing burnout. Thirty-nine solutions were developed and rated as being highly, or very highly effective. These focused on themes such as improving communication, developing progression pathways, and providing leadership training and support. Existing workplace barriers must be evaluated prior to selecting strategies, to maximise effectiveness in specific contexts.

Indexed as

animal care professionalleadershipregulationretentionutilisationwellbeingworkloadworkplace mental health

Identifiers

PMID40362072
PMCPMC12071012

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.