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Record W4414780500 · doi:10.1080/00480169.2025.2561615

Psychological impacts and self-management by responders to emergency and disaster events involving animals: findings from a cross-sectional international survey

2025· article· en· W4414780500 on OpenAlexaff
Susan Grey, Christopher B. Riley, Kirrilly Thompson, HE Squance, Naomi Cogger

Bibliographic record

VenueNew Zealand Veterinary Journal · 2025
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsUniversity of Guelph
FundersUniversity of Nevada, Reno
KeywordsPsychosocialCompromiseMindfulnessMental healthRecreationPsychological interventionPsychological trauma

Abstract

fetched live from OpenAlex

AIMS: To examine the self-reported psychological impacts for professional and volunteer responders associated with attending animal-related emergencies and disasters, focusing on their experience and self-reported management. METHODS: An online survey of professional and volunteer responders to animal-related emergencies was shared via social media and international response organisations. Questions addressed demographic, training and event-related factors, perceptions of effects on well-being and post-event management recovery techniques. A particular event was recalled in free-text, and respondents indicated how they had been affected using free-text reflection and Likert scale assessment. The revised Impact of Event Scale (IES-R) was used to identify evidence of possible post-traumatic stress disorder (PTSD). Factors associated with the self-assessed binary outcome of compromised mental well-being (yes or no) were evaluated using single-predictor and multivariable logistic regression. RESULTS: Of 227 responses deemed sufficiently complete for analysis, participants' rescue experience ranged from 1-60 years; 67% identified as female. Most respondents (57%; 129/227) reported that the incident described affected their mental well-being. A multivariable model found female responders more likely than males to report compromised well-being (OR = 2.37, 95% CI = 1.25-4.57; p = 0.009). The presence of an animal injury (OR = 2.84, 95% CI = 1.44-5.75; p = 0.003), injuries to a member of the public (OR = 3.73, 95% CI = 1.68-8.99; p = 0.002), or a team member (OR = 8.65 95% CI 2.25-57.67; p = 0.006), increased the odds of self-reported adverse mental health outcomes. Six per cent (13/227) of respondents had an IES-R score for which partial PTSD may be a clinical concern, and 3% (7/227) had a score indicative of possible PTSD, including four with a score that has been associated with PTSD and long-term health consequences. Of those who tried well-being support techniques, 95% (187/197) ranked talking with friends, family or teammates as effective. Debriefing with the team or mentor was also effective (95%; 187/197). Socialising was effective for 88% (119/135), and mindfulness or meditation for 87% (91/105). CONCLUSION AND CLINICAL RELEVANCE: Responders to emergencies involving animals are at risk of psychological trauma associated with these events, potentially leading to the compromise of mental well-being. Psychosocial supports self-identified as helpful for recovery include talking with others, socialising, physical or recreational activity, debriefing, and mindfulness or meditation, but their effectiveness requires objective evaluation so that education on mitigation and recovery strategies is well-informed. ABBREVIATIONS: IES-R: Impact of Event Scale - Revised; PTSD: Post-traumatic stress disorder.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.088
GPT teacher head0.447
Teacher spread0.359 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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