Results 41 to 50 of about 115,466 (158)

Predicting mother and newborn skin-to-skin contact using a machine learning approach

BMC Pregnancy and Childbirth
Background Despite the known benefits of skin-to-skin contact (SSC), limited data exists on its implementation, especially its influencing factors. The current study was designed to use machine learning (ML) to identify the predictors of SSC.
Sanaz Safarzadeh, Nastaran Safavi Ardabili, Mohammadsadegh Vahidi Farashah, Nasibeh Roozbeh, Fatemeh Darsareh   +4 more
doaj   +1 more source

‘I Think It’s So Complicated Knowing What to Make of What Children Show’: On Child Welfare Employees’ Assessments of Children’s Reactions to Visitation

Social Sciences
The theme of this article is how child welfare workers understand children’s reactions when they assess visitation between parents and children in public care in Norway. The data material consists of 35 transcribed, anonymised recordings of child welfare
Tanja Røed Larsen
doaj   +1 more source

Does the Incredible Years Teacher Classroom Management Training programme have positive effects for young children exhibiting severe externalizing problems in school?: a quasi-experimental pre-post study

BMC Psychiatry, 2016
Background Young children exhibiting severe externalizing problems in school are at risk of developing several poor outcomes. School-based intervention programs have been found to be effective for students with different problems, including those with ...
Bente Kirkhaug, May Britt Drugli, Bjørn Helge Handegård, Stian Lydersen, Merethe Åsheim, Sturla Fossum   +5 more
doaj   +1 more source

Building Black community accountability in child welfare: Provincial contexts and Black service provider experiences across three jurisdictions

Child Protection and Practice
The disproportionate representation of Black children in Canadian child welfare systems has spurred significant scrutiny and calls for reform. This study examines the crucial role of Black service providers in Ontario, Quebec, and Alberta in fostering ...
Alicia Boatswain-Kyte, Travonne Edwards, Bryn King, Bukola Salami   +3 more
doaj   +1 more source

Integrating Data, Driving Solutions: The Minnesota Information Linking for Kids (Minn-LInK) Project

International Journal of Population Data Science
Child well-being is complex and spans multiple disciplines and systems. The involvement of children with multiple public service systems (e.g., child protection, juvenile justice, public health, education, children’s mental health) necessitates better ...
Sydney Johnson, Michael Hoffmeister, Kristine Piescher   +2 more
doaj   +1 more source

Measuring social and community services for children, youth, and families in contact with the child welfare system: A scoping review

Child Protection and Practice
Background: Administrative data can be used to systematically analyze and evaluate social and community services for families in contact with the child welfare system.
Lindsay Crompton, Nicholas Chu, Nathaniel J. Pollock, John Fluke, Lil Tonmyr   +4 more
doaj   +1 more source

Dalgleish scores difference amongst professional roles within the greater child welfare community

Child Protection and Practice
Background: The central tension of the child welfare system is the need to protect children while also encouraging the stability of families. Researchers have attempted to capture this conflict through the use of the Dalgleish Scale (Fluke et al., 2016),
Matthew Trail
doaj   +1 more source

Design of Family and Child Welfare Policy in Indonesia

E3S Web of Conferences, 2018
Family is the basis of public welfare. Family welfare determine the children development. Indonesia government ensure family and child welfare of their citizen by applying Child Rights Convention and strengthen some policies.
hammad Adnan
doaj   +1 more source

Eclecticism in child welfare

Journal of Comparative Social Work
This article discusses the use of professional theories in the field of child welfare. The presentation is largely based on the author’s observations from debates between Norwegian scholars over the last four decades. The conclusion, however, may have a
Terje Halvorsen
doaj   +1 more source

Utilizing machine learning to predict the risk factors of episiotomy in parturient womenAJOG Global Reports at a Glance

AJOG Global Reports
Background: Episiotomy has specific indications that, if properly followed, can effectively prevent women from experiencing severe lacerations that may result in significant complications like anal incontinence.
Mojdeh Banaei, PhD, Nasibeh Roozbeh, PhD, Fatemeh Darsareh, PhD, Vahid Mehrnoush, MD, Mohammad Sadegh Vahidi Farashah, PhD, Farideh Montazeri, BSc   +5 more
doaj   +1 more source