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Record W2566034716 · doi:10.18297/etd/2536

Therapeutic treatments for PTSD : does type of treatment impact help seeking behaviors in a military sample?

2016· dissertation· en· W2566034716 on OpenAlexaff
Tyler C. Halford

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsFuture Earth
Fundersnot available
KeywordsPsychologyClinical psychologyHelp-seekingMental healthCoping (psychology)Psychiatry

Abstract

fetched live from OpenAlex

There are several known barriers that people face that decrease the likelihood of seeking professional psychological help. The present study sought to identify whether certain treatment types for PTSD serve as barriers to seeking psychological help. It specifically sought to identify trauma-focused treatments as potential barriers due to their perception of being emotionally challenging. A survey was administered to 84 respondents. Of the respondents, 41 were randomly assigned to read a treatment protocol for an exposure-based, trauma-focused psychotherapy for PTSD, which 43 were randomly assigned to read a protocol for a trauma-avoidant psychotherapy for PTSD. Measures of attitudes toward seeking help and mental health stigma were then administered, with treatment type serving as two levels of an independent variable. We hypothesized that participants in the trauma-focused condition would subsequently report higher levels of stigma and more negative attitudes toward seeking help. MANCOVA results did not support our hypothesis as both groups were shown to have equal reactions to the protocols. This held true when controlling for four potential covariates: PTSD symptoms, avoidant coping styles, conformity to masculine gender norms, and previous PTSD treatment history. Treatment implications and future directions were discussed.

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)0.010
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.116
GPT teacher head0.483
Teacher spread0.367 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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