MétaCan
Menu
Back to cohort
Record W2906728919 · doi:10.1111/acem.13679

Hot Off the Press: <scp>SGEM</scp> #237. Screening Tool for Child Sex Trafficking

2019· letter· en· W2906728919 on OpenAlexaff
Christopher Bond, Justin Morgenstern, Corey Heitz, William K. Milne

Bibliographic record

VenueAcademic Emergency Medicine · 2019
Typeletter
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsWestern UniversityMarkham Stouffville HospitalUniversity of Calgary
Fundersnot available
KeywordsMedicineSex traffickingPsychiatrySuicide preventionDepression (economics)Sexual abusePoison controlMedical emergencyCriminologyHuman traffickingPsychology

Abstract

fetched live from OpenAlex

Child sex trafficking (CST) is a global human rights violation and occurs when a minor is engaged in any sex act that involves an exchange of something of perceived value, whether monetary or nonmonetary.1, 2 Examples of CST include prostitution of children by others, “survival sex” (runaway/homeless children having sex in exchange for shelter or something else needed to survive), working in sex-oriented businesses, or production of child sexual abuse materials.3, 4 Statistics from the United States Human Trafficking Reporting System indicate that 85% of identified sex trafficking victims were U.S. citizens/legal residents and 55% were minors.5 Risk factors associated with CST include a history of abuse, substance use, juvenile justice system involvement, a history of running away from home, and LGBTQ status.6-12 Victims of CST are at risk for a myriad of health-related consequences, including physical injury; chronic pain; sexually transmitted infection (STIs); substance use disorders; and psychiatric disorders such as PTSD, depression, and suicide.13-16 Most of these victims seek medical attention at some point, with 88% having seen a physician during their exploitation.15 This study evaluates a screening tool for CST among pediatric patients who present to a large inner-city emergency department (ED). Children aged 10 to 18 presenting with high-risk chief complaints including many gynecologic and psychiatric complaints or high-risk sexual or social behavior were screened for CST. This was done using a screening tool previously developed from a comparison of CST victims to patients presenting with complaints of acute sexual assault without a commercial component. Overall this was a well-done prospective, observational study performed in the pediatric ED (PED) of a major U.S. city. The sample of patients may not be representative, because it was based on a convenience sample of participants selected during times when the CST investigative team was available in the PED. In addition to this, non–English-speaking patients were excluded and both of these factors did introduce some selection bias. The study attempted to mitigate the selection bias created by convenience sampling through inclusion of a representative sampling of day, evening, night, and weekend shifts. Despite focusing on child trafficking, this study included 18-year-old patients. The authors noted that they were included because they still present to this particular P ED and, upon a positive screen, the CST team would be searching for evidence of CST prior to age 18. A major issue with any study examining sex trafficking is the criterion standard being used. The authors used a federal, legal definition of CST, which is standardized and reproducible. However, it is primarily based on self-report, which means the definition could both overcall and (more likely) under call cases of CST, which would impact the reported sensitivity and specificity. That being said, self-report is likely the best criterion standard available for this diagnosis. External validity is also a limitation of this study, as this was done in an urban inner-city PED, so we are unable to generalize to community EDs. Thankfully, CST is relatively rare. However, small numbers do result in large confidence intervals (CIs) that must be considered when assessing this screening tool. The primary outcome was the diagnostic accuracy of the CST screening tool, which had a sensitivity of 90.9% (95% CI = 58.7%–99.8%), specificity of 53.1% (95% CI = 45.6%–60.4%), positive predictive value of 10.0% (95% CI = 5.0%–17.6%), and negative predictive value of 99.0% (95% CI = 94.7%–99.9%). Other findings revealed that the mean (range) age of CST victims was 15.9 (13–18) years, with nine females and two males. CST victims presented in a variety of social circumstances, including alone, with a parent/guardian, with a friend, with a police officer, and with a social services case manager. A total of 55% of CST victims had seen a medical provider within the past 6 months. History items strongly associated with CST were more likely to have run away from home, have used drugs/alcohol in the past 12 months, have had more than 10 sexual partners, and have had a prior STI. There was no chief complaint among the inclusion criteria that correlated significantly with CST presentation. Although there are some methodologic issues that make us uncertain of the accuracy of this screening tool, CST is an incredibly important topic. This tool is unlikely to be 100% sensitive based on the results presented. However, we expect that CST is frequently missed in current clinical practice, and therefore this screening tool, even if imperfect, may represent a significant improvement for many clinicians. There was very limited social media discussion on this topic, which may be due to its sensitive nature. However, as emergency physicians, we need to be aware of CST and how to screen for it as these patients often present to EDs. We welcome ongoing discussion on The SGEM website. Paper-in-a-pic from Kirsty Challen, @KirstyChallen Child sex trafficking is a high-risk condition with a myriad of health consequences. Emergency physicians are in a unique position to identify victims. The use of a CST screening tool for adolescents presenting to the ED with high-risk complaints might help us identify more at-risk children.

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)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.850
Threshold uncertainty score0.214

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.8500.755

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 head0.054
GPT teacher head0.342
Teacher spread0.288 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueAcademic Emergency MedicineSame topicSex work and related issuesFrench-language works237,207