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Record W2947674071 · doi:10.5539/ies.v12n6p94

A Predictive Research on the Posttraumatic Improvement of Emergency Health Employees

2019· article· en· W2947674071 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Education Studies · 2019
Typearticle
Languageen
FieldHealth Professions
TopicProblem Solving Skills Development
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologySocial supportMental healthPsychosocialClinical psychologyData collectionBeck Depression InventoryMoodPsychiatryAnxietySocial psychology

Abstract

fetched live from OpenAlex

Traumatic incidents are defined as despair people are in when they face fears, weaknesses and vulnerabilities. The purpose of the present research is determining the mental problems faced by emergency health workers while performing their jobs and how they deal with these problems. For this purpose, “The Hopelessness Scale, Locus of Control Scale, Problem Solving Inventory, Multidimensional Scale of Perceived Social Support, Post Traumatic Growth Inventory, Peritraumatic Dissociative Experiences Questionnaire, The Posttraumatic Diagnostic Scale and Beck Depression Inventory were used as data collection tools. The present research was designed in accordance with general screening model, which is a descriptive research method. With this model, how the independent variable affected the dependent variable was investigated and the regression analysis was conducted for the relationship between the variables. The research was carried out on the employees of the Department of Emergency Health Services in Erzincan and data were collected from 400 emergency health workers. The statistical analysis of the data was done by SPSS 20.00 package program and .05 was taken as the significance level. According to the regression analysis results hopelessness, negative effects of events on life, social support and dissociation were significantly related with stress symptoms and depressive mood levels. It was found that the effects of event and dissociation predict posttraumatic stress symptoms positively; and social support negatively. It was observed that hopelessness and post-traumatic stress symptoms predicted the level of depression positively and social support negatively. According to the findings of the research, it was recommended that psychosocial support units may be useful in emergency health services and psycho-education and psychological counseling services provided by the psychosocial unit can be useful for the stress, posttraumatic stress disorder and other problems that may be experienced.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.444
Threshold uncertainty score0.944

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.342
GPT teacher head0.600
Teacher spread0.258 · 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