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Record W4205694069 · doi:10.1080/09638237.2021.2022629

Workplace trauma and chronic stressor exposure among direct service providers working with people experiencing homelessness

2022· article· en· W4205694069 on OpenAlexafffundabout
Nick Kerman, John Ecker, Emmy Tiderington, Stephen Gaetz, Sean A. Kidd

Bibliographic record

VenueJournal of Mental Health · 2022
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversity of TorontoYork UniversityCentre for Addiction and Mental Health
FundersCanadian Institutes of Health Research
KeywordsStressorPsychosocialPsychologyModerationMultilevel modelSocial supportService providerDistressMental healthMedicinePsychiatryClinical psychologyService (business)Social psychology

Abstract

fetched live from OpenAlex

BACKGROUND: Service providers working with people experiencing homelessness can be directly and indirectly exposed to trauma and other chronic stressors in their work. The types of individuals that are most at-risk of problematic outcomes from traumatic event exposure are unknown. AIM: This study examined exposure to and effects of workplace traumas and stressors among service providers working with people experiencing homelessness in Canada. METHODS: A cross-sectional survey was completed by 701 direct service providers working in the homeless service, supportive housing, and harm reduction sectors. Descriptive statistics, hierarchical multiple regression, and double moderation models were used in the analysis. RESULTS: Employment in homeless service settings, service provision to single adults, and more time in direct contact with service users were each positively associated with the frequency of exposure to critical events and chronic stressors. Younger age, lived experience of behavioural health problems, more frequent exposure to chronic stressors, and less social support from coworkers were significantly correlated with post-traumatic stress and general psychological distress. Emotional support from supervision moderated the relationship between direct exposure to workplace critical events and post-traumatic stress. CONCLUSIONS: More trauma-informed psychosocial supports tailored to the needs of direct service providers working with people experiencing homelessness are needed.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.345
Teacher spread0.314 · 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 designQualitative
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

Citations30
Published2022
Admission routes3
Has abstractyes

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