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Record W3013872608 · doi:10.1921/jpts.v17i1.1269

Effectiveness of Psychological First Aid Training for social work students, practitioners and human service professionals in Alberta, Canada

2020· article· en· W3013872608 on OpenAlexaffabout
Nasreen Lalani, Julie Drolet

Bibliographic record

VenueThe Journal of Practice Teaching in Health and Social Work · 2020
Typearticle
Languageen
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPsychosocialPreparednessCompetence (human resources)Social workPsychologyMedical educationTraining (meteorology)First aidWork (physics)NursingMedicineMedical emergencySocial psychologyPsychiatryPolitical scienceEngineering

Abstract

fetched live from OpenAlex

Psychological First Aid (PFA) is becoming a universally accepted intervention in providing psychosocial support to individuals and families affected by trauma or disaster. Our study aimed to measure the effectiveness of a didactic and simulation based Psychological First Aid (PFA) training program in Alberta, Canada. Social work students, practitioners, and human service professionals from Calgary, Edmonton, and Lethbridge were invited to attend the training. A total of 90 participants attended the training at three different sites. A pre and post survey questionnaire was administered to all the participants before and after the training. Findings showed that the training has significantly improved participants’ PFA knowledge and perceived competence in PFA skill. PFA training enhanced their confidence, disaster preparedness, and self-care strategies needed to provide psychosocial support to individuals and families in disaster situations. Our study provides preliminary evidence supporting the effectiveness of the PFA training program among social work students, practitioners and human service professionals for future disaster preparedness in Alberta, Canada.Keywords: Psychological first aid, social work, disaster preparedness, training, competency, effectiveness, Canada

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.158

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.120
GPT teacher head0.498
Teacher spread0.378 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations17
Published2020
Admission routes2
Has abstractyes

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