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Record W3151711427 · doi:10.21203/rs.3.rs-342280/v1

Psychological interventions for posttraumatic stress injuries among public safety personnel: a systematic review and meta-analysis

2021· review· en· W3151711427 on OpenAlexafffund
Anees Bahji, Paula M. Di Nota, Dianne Groll, R. Nicholas Carleton, Gregory S. Andérson

Bibliographic record

VenueResearch Square · 2021
Typereview
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsUniversity of ReginaThompson Rivers UniversityQueen's UniversityUniversity of Calgary
FundersUniversity of Toronto MississaugaUniversity of TorontoWorkSafeBC
KeywordsPsychological interventionMeta-analysisAnxietyClinical psychologyPsychologyPublication biasRandomized controlled trialSystematic reviewExposure therapyDepression (economics)MedicinePsychiatryMEDLINEInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Public safety personnel (PSP) are exposed to potentially psychologically traumatic events (PPTE) far more often than the general public, which increases the risk for various posttraumatic stress injuries (PTSIs). There are many evidence-based psychological interventions for PTSI, but whether the interventions benefit PSP despite the repeated PPTE exposures remains unclear.Objectives The current study assessed the effectiveness and acceptability of psychological interventions of PTSI among PSP.Methods A systematic review and random-effects meta-analysis were performed on the effectiveness and acceptability of psychotherapies for PTSIs (i.e., symptoms of depression, anxiety, posttraumatic stress disorder) among PSP. The review adhered to the PRISMA reporting guidelines and used standardized mean differences (Cohen’s d) and rate ratios (RR) to measure pooled effect sizes across studies. Heterogeneity was quantified using I2, and publication bias was evaluated using Egger’s test.Results The analyses included data from eight randomized controlled trials representing 402 PSP (79.4% male, 35.3 years). Psychological interventions included narrative exposure therapy (n = 1), cognitive behavioural therapy (n = 2), eclectic psychotherapy (n = 2), eye-movement desensitization and reprocessing (n = 1), supportive counselling (n = 2), and group critical incident stress debriefing (n = 1). The interventions were associated with statistically significant reductions in symptoms associated with PTSD (d=-1.23), anxiety (d=-0.76), and depression (d=-1.10). There were smaller but statistically significant improvements at follow-up for symptoms of PTSD (d=-1.29), anxiety (d=-0.82), and depression (d=-0.46). There were no statistically significant differences in dropout rates (RR = 1.00), suggesting high acceptability across interventions.Conclusions There is preliminary evidence that psychotherapies help treat PTSIs in PSP; however, the shortage of high-quality studies with PSP indicates a need for additional research into treating PTSI among PSP.PROSPERO: CRD42019133534.

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)0.006
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.018
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0160.021
Bibliometrics0.0060.005
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.606
GPT teacher head0.600
Teacher spread0.005 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations2
Published2021
Admission routes2
Has abstractno

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