Sentinel Project: a Digital Registry and Education Network for Child Maltreatment Protection – Study Protocol (Preprint)
Notice bibliographique
Résumé
BACKGROUND Child maltreatment, a major public health concern, has long-term neurobiological, psychological, and social consequences. Recognizing, documenting, and reporting suspected cases should be systematic across hospital and community services, but these processes are hindered by inconsistent surveillance systems, uneven professional training, and the lack of standardized data collection tools. Timely follow-up, updated clinical criteria, and structured multidisciplinary training can improve case assessment, traceability, and professionals’ ability to report suspected maltreatment. The Sentinel project was developed to address these clinical, organizational, and public health gaps through a combined REDCap-based digital registry and structured training program for pediatric health care professionals. OBJECTIVE This study aims to evaluate the usability, feasibility, and preliminary impact of an integrated surveillance and training system designed to improve the early detection, documentation, and reporting of suspected child maltreatment by pediatricians and health care professionals. METHODS This is an observational, exploratory, monocentric pilot implementation study with a pretest-posttest evaluation design. The study will be conducted over 24 months in a hospital-community pediatric network. Voluntary participants will be hospital and community pediatricians and other pediatric health care professionals who provide written informed consent. The project includes two interconnected components: (1) implementation of a secure, anonymized REDCap registry for standardized documentation of suspected maltreatment, follow-up, reporting pathways, and case management outcomes and (2) a theoretical-practical training program delivered through lectures, e-learning modules, webinars, supervised exercises, and hands-on registry sessions. Primary and secondary outcomes will be assessed at prespecified time points, including baseline, immediately after training, during registry use, and at the end of follow-up. Registry usability will be measured using the System Usability Scale; training effectiveness will be measured through pretest-posttest knowledge, competency tests, and satisfaction questionnaires; and reporting outcomes will be measured through comparison of pre- and postimplementation reporting rates. RESULTS The study will report the usability, feasibility, and preliminary implementation outcomes of the integrated registry training system. Main results will include System Usability Scale scores, registry completion indicators, reporting timeliness, the number and rate of suspected maltreatment reports before and after implementation, changes in knowledge and competency scores, participant satisfaction, and qualitative feedback on barriers to and facilitators of implementation. Participant recruitment and data collection began in April 2026 and are currently ongoing. Completion of data collection and publication of the results are expected between December 2027 and January 2028. CONCLUSIONS The Sentinel project will test an innovative and scalable pilot model that integrates digital surveillance with structured professional training to enhance the early detection, documentation, and management of suspected child maltreatment. By standardizing data collection, strengthening professional competencies, and fostering collaboration across hospital and community settings, the study will inform the development of a regional or national observatory and support an evidence-based, system-wide approach to child protection. CLINICALTRIAL ClinicalTrials.gov NCT07250074; https://clinicaltrials.gov/study/NCT07250074 INTERNATIONAL REGISTERED REPORT PRR1-10.2196/89128
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,035 | 0,039 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,002 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,002 | 0,003 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,095 | 0,025 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».