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Enregistrement W2210445002 · doi:10.1093/pch/18.8.e48

Case 2: A 16-year-old girl with a history of sexual assault and post-traumatic stress

2013· article· en· W2210445002 sur OpenAlexaff
Corry Azzopardi, Karla Wentzel, Tanya Smith

Notice bibliographique

RevuePaediatrics & Child Health · 2013
Typearticle
Langueen
DomainePsychology
ThématiqueChild Abuse and Trauma
Établissements canadiensSickKids FoundationUniversity of TorontoHospital for Sick Children
Organismes subventionnairesnon disponible
Mots-clésGirlGonorrheaShameMedicinePsychiatryFeelingSexual abuseSyphilisAnxietyChlamydiaPsychologyPoison controlSuicide preventionFamily medicineMedical emergencyHuman immunodeficiency virus (HIV)Developmental psychology

Résumé

récupéré en direct d'OpenAlex

A 16-year-old girl presented to a community clinic with a history of sexual assault by a 24-year-old man six months earlier. She reported accepting a ‘Facebook’ friend request from this previously unknown man, chatting with him online for several weeks and confiding in him about problems she was experiencing with her peers at school. After engaging in increasingly intimate online conversations and exchanging a number of sexually explicit photos, she agreed to meet him in person for the first time at his home. When she refused his sexual advances, he forcefully sexually assaulted her. They have since had no contact. She presented as anxious and reluctant to report the assault to the police. Her mother, who accompanied her to the clinic, appeared distraught yet very supportive of her daughter. No current physical symptoms, such as vaginal bleeding, discharge or pain, were noted. The physical examination, including close inspection of her genital area, demonstrated normal findings. Specimens were collected to test for pregnancy and sexually transmitted infections, including gonorrhea, chlamydia, HIV, hepatitis B and C, and syphilis. A sexual assault evidence kit was not indicated due to the historical timeframe of the incident. A HEADSS (Home, Education, Activities, Drug use and abuse, Sexual behaviour, Suicidality and depression) assessment highlighted feelings of sadness, anxiety, social isolation and bullying at school. She reported experiencing intrusive thoughts of the assault, particularly at night, as well as intense feelings of self-blame and shame. The option of involving the police was discussed; however, she declined despite ongoing fears for her safety. Although a significant underestimation of true prevalence, there were more than 3800 incidents of sexual violations against children in 2011 according to Canadian police-reported crime statistics, 3% more than the previous year (1). Unlike the declining trend of most other crime rates, there was a 10% increase in the relatively new offence of luring a child via computer (1). With most adolescents having unlimited access to the Internet, unsupervised and injudicious online activity may pose serious health and safety concerns. The Internet offers adolescents a vehicle to accessing a new and exciting social environment, one that provides endless opportunities to connect with individuals they may not have otherwise met in person. While many adolescents develop healthy online relationships with peers, some will engage in potentially dangerous online interactions. Sometimes lacking mature judgement, emotional control and experience with intimate relationships, adolescents may find themselves in rapidly advancing, high-risk online encounters leading to sexual exploitation and victimization. Adolescents who experience difficulties offline, such as previous abuse, delinquency, depression and social interaction problems, are particularly susceptible to online victimization (2). Sexual offenders often seek vulnerable children and adolescents, quickly identifying their weaknesses and desire for attention, and gaining their trust and loyalty through manipulative grooming tactics. They may be openly or subtly enticed by intimate chats and sexual material to lower inhibitions with the intent to solicit online or offline sexual encounters. Such interactions constitute a form of Internet-initiated child sexual abuse. In addition to a thorough medical evaluation that is nonjudgmental, culturally and developmentally appropriate, and sensitive to possible trauma triggers and legal proceedings, it is important for health care providers to address the risks associated with online sexual behaviour, assess for symptoms of post-traumatic stress disorder (PTSD) and refer to appropriate mental health services when indicated. Inquiry into adolescent online behaviour can be easily integrated within the paediatric HEADSS assessment with questions specific to Internet usage, online gaming, cyber-bullying, pornography and online sexual victimization (eg, “Do you ever chat with people online that you have not met in person about sex?”) (3). With emphasis on careful social networking and healthy sexual development, Internet safety strategies should be based on the best available research evidence, developmentally sensitive, and focused on practical skills aimed at reducing the risks associated with online sexual interactions with unknown individuals. At-risk adolescents, including those with a history of abuse, those questioning their sexual orientation, and those engaging in a pattern of risky offline and online behaviours, must be carefully assessed and may require targeted approaches to prevention and intervention that address their presenting vulnerabilities (2). While some adolescents who have been sexually assaulted demonstrate highly resilient responses, many develop a range of adverse effects on psychological, emotional, behavioural, physical and interpersonal functioning. Adolescents who have experienced a potentially traumatic event may initially appear asymptomatic; however, a significant proportion will meet full or partial criteria for PTSD. Paediatricians and other health care clinicians are in a unique position to identify, monitor and, in some cases, treat trauma symptoms in adolescents. The UCLA PTSD Reaction Index is a brief and reliable screening tool that can be administered to detect post-traumatic stress reactions in children and adolescents (4). Screening results can then guide the health care provider’s intervention, which may include psychoeducation regarding common trauma responses, self-care and coping strategies, and referral to evidence-based mental health treatment such as trauma-focused cognitive-behavioural therapy with special consideration of the dynamics associated with online victimization. The Internet offers adolescents opportunities to engage in healthy online social relationships; however, it can also be a vehicle for online sexual exploitation. While often overlooked, paediatricians and other health care professionals play a vital role in the prevention, assessment and management of high-risk online activity and sexual victimization of children and youth. Inquiry into adolescent online behaviour should be routinely incorporated within the paediatric HEADSS assessment. Internet safety strategies should be developmentally appropriate, skill-based and evidence-informed. Adolescents who present with Internet-facilitated sexual assault should receive a thorough medical examination, be screened for post-traumatic stress reactions and be referred for trauma-focused treatment if necessary. Law enforcement and child welfare service involvement must be considered in accordance with jurisdictional legislation and reporting protocols. The authors thank Dr Michelle Shouldice for her helpful review of the manuscript.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Étude de cas · Signal consensuel: Étude de cas
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,007
Score d'incertitude au seuil0,019

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,004
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0020,002
Études des sciences et des technologies0,0050,002
Communication savante0,0020,003
Science ouverte0,0010,002
Intégrité de la recherche0,0070,006
Charge utile insuffisante (le modèle a refusé de juger)0,0060,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,020
Tête enseignante GPT0,268
Écart entre enseignants0,248 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeÉtude de cas
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2013
Routes d'admission1
Résumé présentoui

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