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Record W2028650423 · doi:10.1186/1471-227x-12-10

The critical incident inventory: characteristics of incidents which affect emergency medical technicians and paramedics

2012· article· en· W2028650423 on OpenAlexaff
Janice Halpern, Robert Maunder, Brian Schwartz, Maria Gurevich

Bibliographic record

VenueBMC Emergency Medicine · 2012
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsMount Sinai HospitalHealth Sciences CentrePublic Health OntarioToronto Metropolitan UniversityUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineDistressSituational ethicsIrritabilityClinical psychologyPosttraumatic stressAnxietyPsychiatryPsychology

Abstract

fetched live from OpenAlex

BACKGROUND: Emergency medical technicians (EMTs) and paramedics experience critical incidents which evoke distress and impaired functioning but it is unknown which aspects of incidents contribute to their impact. We sought to determine these specific characteristics by developing an inventory of critical incident characteristics and testing their relationship to protracted recovery from acute stress, and subsequent emotional symptoms. METHODS: EMT/paramedics (n = 223) completed a retrospective survey of reactions to an index critical incident, and current depressive, posttraumatic and burnout symptoms. Thirty-six potential event characteristics were evaluated; 22 were associated with peritraumatic distress and were retained. We assigned inventory items to one of three domains: situational, systemic or personal characteristics. We tested the relationships between (a) endorsing any domain item and (b) outcomes of the critical incident (peritraumatic dissociation, recovery from components of the Acute Stress Reaction and depressive, posttraumatic, and burnout symptoms). Analyses were repeated for the number of items endorsed. RESULTS: Personal and situational characteristics were most frequently endorsed. The personal domain had the strongest associations, particularly with peritraumatic dissociation, prolonged distressing feelings, and current posttraumatic symptoms. The situational domain was associated with peritraumatic dissociation, prolonged social withdrawal, and current posttraumatic symptoms. The systemic domain was associated with peritraumatic dissociation and prolonged irritability. Endorsing multiple characteristics was related to peritraumatic, acute stress, and current posttraumatic symptoms. Relationships with outcome variables were as strong for a 14-item inventory (situational and personal characteristics only) as the 22-item inventory. CONCLUSIONS: Emotional sequelae are associated most strongly with EMT/paramedics' personal experience, and least with systemic characteristics. A14-item inventory identifies critical incident characteristics associated with emotional sequelae. This may be helpful in tailoring recovery support to individual provider needs.

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)0.004
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient 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 score0.046
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0140.000

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 head0.109
GPT teacher head0.457
Teacher spread0.348 · 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

Citations45
Published2012
Admission routes1
Has abstractyes

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