Consensus building on definitions and types of child maltreatment to improve recording and surveillance in Europe: protocol for a multi-sectoral, European, electronic Delphi study.

Introduction: Child maltreatment (CM) is a complex global public health issue with potentially devastating effects on individuals' physical and mental health and well-being throughout the life course. A lack of uniform definitions hinders attempts to identify, measure, respond to, and prevent CM. The aim of this electronic Delphi (e-Delphi) study is to build consensus on definitions and types of CM for use in surveillance and multi-sectoral research in the 34 countries in the Euro-CAN (Multi-Sectoral Responses to Child Abuse and Neglect in Europe) project (COST Action CA19106).

Effects of the COVID-19 pandemic on the mental health of clinically extremely vulnerable children and children living with clinically extremely vulnerable people in Wales: a data linkage study.

Objectives: To determine whether clinically extremely vulnerable (CEV) children or children living with a CEV person in Wales were at greater risk of presenting with anxiety or depression in primary or secondary care during the COVID-19 pandemic compared with children in the general population and to compare patterns of anxiety and depression during the pandemic (23 March 2020-31 January 2021, referred to as 2020/2021) and before the pandemic (23 March 2019-31 January 2020, referred to as 2019/2020), between CEV children and the general population.

Design: Population-based cross-sectional cohort study using anonymised, linked, routinely collected health and administrative data held in the Secure Anonymised Information Linkage Databank. CEV individuals were identified using the COVID-19 shielded patient list.

What proportion of clinical prediction models make it to clinical practice? Protocol for a two-track follow-up study of prediction model development publications.

Introduction: It is known that only a limited proportion of developed clinical prediction models (CPMs) are implemented and/or used in clinical practice. This may result in a large amount of research waste, even when considering that some CPMs may demonstrate poor performance. Cross-sectional estimates of the numbers of CPMs that have been developed, validated, evaluated for impact or utilized in practice, have been made in specific medical fields, but studies across multiple fields and studies following up the fate of CPMs are lacking.

Current issues and challenges in the definition and operationalization of child maltreatment: A scoping review.

Background: Studies show considerable variability in the definitions and operationalization of child maltreatment (CM), which limits research, policy formation, surveillance, and cross-country and cross-sector comparisons.

Objective: To review the recent literature (2011-2021) to understand current issues and challenges in defining CM, to assist in the planning, testing and implementing of CM conceptualizations.

Methods: We searched eight international databases.

Head computed tomography in suspected physical abuse: time to rethink?

Background: National guidance recommends CT-head for all children <1 year old with suspected physical abuse, and to be considered for those <2 years old to exclude abusive head trauma.

Objectives: To investigate whether this guidance is followed, and the associations between clinical presentation and CT findings, to determine whether guidance could be refined.

Materials And Methods: A retrospective case note review of all children <2 years old who underwent medical assessment for suspected abuse (2009-2017).

Mixed-methods process evaluation of SafeTea: a multimedia campaign to prevent hot drink scalds in young children and promote burn first aid.

Objectives: SafeTea is a multifaceted intervention delivered by community practitioners to prevent hot drink scalds to young children and improve parents' knowledge of appropriate burn first aid. We adapted SafeTea for a national multimedia campaign, and present a mixed-methods process evaluation of the campaign.

Methods: We used social media, a website hosting downloadable materials and media publicity to disseminate key messages to parents/caregivers of young children and professionals working with these families across the UK.

Validation of the PredAHT-2 prediction tool for abusive head trauma.

Objective: The validated Predicting Abusive Head Trauma (PredAHT) clinical prediction tool calculates the probability of abusive head trauma (AHT) in children <3 years of age who have sustained intracranial injuries (ICIs) identified on neuroimaging, based on combinations of six clinical features: head/neck bruising, seizures, apnoea, rib fracture, long bone fracture and retinal haemorrhages. PredAHT version 2 enables a probability calculation when information regarding any of the six features is absent. We aimed to externally validate PredAHT-2 in an Australian/New Zealand population.

External Validation of the PediBIRN Clinical Prediction Rule for Abusive Head Trauma.

Background And Objectives: A 4-variable abusive head trauma (AHT) clinical prediction rule (CPR) for use in the PICU was derived and validated for children <3 years of age by the Pediatric Brain Injury Research Network (PediBIRN). We aimed to externally validate PediBIRN as designed (PICU only) as well as using broader inclusion criteria (admitted children with head injuries).

Methods: This was a secondary analysis of a prospective multicenter study of pediatric head injuries at 5 Australian and New Zealand tertiary pediatric centers.

Clinical prediction rules for abusive head trauma: a systematic review.

Objective: Misdiagnosis of abusive head trauma (AHT) has serious consequences for children and families. This systematic review identifies and compares clinical prediction rules (CPredRs) assisting clinicians in assessing suspected AHT.

Design: We searched MEDLINE, Embase, PubMed and Cochrane databases (January 1996 to August 2016).

Validation of a Prediction Tool for Abusive Head Trauma.

Background And Objectives: Abusive head trauma (AHT) may be missed in the clinical setting. Clinical prediction tools are used to reduce variability in practice and inform decision-making. From a systematic review and individual patient data analysis we derived the Predicting Abusive Head Trauma (PredAHT) tool, using multilevel logistic regression to predict likelihood of AHT.