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Record W2081540119 · doi:10.1111/camh.12011

Childhood sexual abuse: community‐based treatment practices and predictors of use of evidence‐based practices

2012· article· en· W2081540119 on OpenAlexaffabout
Jennifer Czincz, Elisa Romano

Bibliographic record

VenueChild and Adolescent Mental Health · 2012
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSexual abuseClinical psychologyChild sexual abusePopulationIntervention (counseling)Evidence-based practicePsychologyChild abuseCognitionMedicinePsychiatrySuicide preventionPoison controlAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Cognitive behavior therapy with abuse-focused components is empirically supported for children/adolescents who have experienced childhood sexual abuse (CSA). We examined the extent to which community-based psychologists use evidence-based practices (EBP) for CSA and identified predictors of EBP use. METHOD: Psychologists (N = 231) providing CSA treatment services to children/adolescents in Ontario (Canada) were identified through the first census of child and adolescent psychology clinicians registered with the College of Psychologists of Ontario. Participants completed a questionnaire on treatment strategies, sociodemographics, work setting, treatment provision, and attitudes toward EBP. Data were collected between December 2009 and June 2010. RESULTS: The majority (78%) of psychologists providing CSA services reported never having received training in specific treatment approaches for this population. Only 5% of psychologists received training in the EBP of trauma-focused cognitive behavior therapy. Multiple regressions indicated that age, theoretical orientation, continuing education, and attitudes predicted the use of an empirically based intervention for CSA. CONCLUSION: Study findings show that few community-based psychologists have received training in specific treatment approaches for CSA victims and very few are trained to deliver EBP for this population. There are ethical concerns about the practice of psychologists who are untrained and unsupervised doing this work. Research findings, which underline the need for training, supervision, and continuing education, need to be translated into clinical practice.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.033
Threshold uncertainty score0.791

Codex and Gemma teacher scores by category

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

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 head0.228
GPT teacher head0.412
Teacher spread0.184 · 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.

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

Citations18
Published2012
Admission routes2
Has abstractyes

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