Types and frequency of child abuse and neglect reports in family foster care in Baltimore, Maryland as compared to reports among nonfoster families are reported. Data on maltreatment incidents in foster homes were abstracted from Child Protective Services investigation records for the years 1984-1988. Comparisons were made to community reports. Results indicated that foster families had over a three-fold increased frequency of maltreatment reports as compared to nonfoster families. Report frequency was highest for physical abuse with a seven-fold risk of report as compared to nonfoster families. Overall, 20% of foster care reports were substantiated as compared to 35% of nonfoster reports, although the risk of having a substantiated report was significantly higher in foster care. The distribution of report types in foster care differed from those in the community with physical abuse the most frequent allegation in foster care, as compared to neglect as the most frequent allegation in the community. Explanations for these findings including differences in criteria for report and substantiation are advanced.
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http://dx.doi.org/10.1016/0145-2134(94)90084-1 | DOI Listing |
J Interprof Care
January 2025
Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
This study employs a clustering approach to assess the readiness for interprofessional education (IPE) among students enrolled in health-related study programs in Albania. Among a sample of 1470 students, complete data were available for 1383 participants, while 87 cases had missing data. Three distinct clusters were identified using hierarchical clustering analysis based on age and readiness domains: Teamwork (TW) and Professional Practice Identity (PPI).
View Article and Find Full Text PDFFront Med (Lausanne)
January 2025
Department of Stomatology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Sepsis remains a leading cause of morbidity and mortality worldwide due to its rapid progression and heterogeneous nature. This review explores the potential of Artificial Intelligence (AI) to transform sepsis management, from early detection to personalized treatment and real-time monitoring. AI, particularly through machine learning (ML) techniques such as random forest models and deep learning algorithms, has shown promise in analyzing electronic health record (EHR) data to identify patterns that enable early sepsis detection.
View Article and Find Full Text PDFIntegr Med Res
March 2025
Institute of General Practice and Interprofessional Care, University Hospital Tübingen, Tübingen, Germany.
Traditional, complementary, and integrative medicine (TCIM) research encompasses a diverse range of health practices rooted in various cultural, philosophical, and historical frameworks. As global interest in conducting research in this field grows, the need for rigorous research to support the integration of evidence-based TCIM therapies into mainstream healthcare has become essential. Data sharing is critical to advancing TCIM research by enhancing reproducibility, fostering interdisciplinary collaboration, promoting ethical practices, and addressing global health challenges.
View Article and Find Full Text PDFFront Psychiatry
January 2025
School of Rehabilitation Therapy, Queen's University, Kingston, ON, Canada.
This study explored the usage of occupational therapy treatment with psychologically injured public safety personnel (PSP) from Ontario, Canada. We used a descriptive quantitative approach with summary data provided by the Workplace Safety and Insurance Board (WSIB) of Ontario documenting occupation therapy (OT) treatment of psychologically injured PSP who had an approved WSIB Mental Stress Injury Program (MSIP) claim between 2017 and 2021. Variables examined included demographics, career type, injury type, and return to work (RTW) outcomes.
View Article and Find Full Text PDFJ Multidiscip Healthc
January 2025
Medical Surgical Department, College of Nursing, King Saud University, Riyadh, Saudi Arabia.
Purpose: This study aimed to evaluate the 6-month impact of the Chronic Disease Self-Management Program based on the Stanford chronic condition model on behavioral and clinical indicators in individuals with chronic illnesses.
Patients And Methods: This prospective, quasi-experimental study was conducted in primary healthcare centers located in Riyadh, Saudi Arabia. A total of 110 adults aged 18 years or older, living with at least one chronic disease, and receiving treatment at a primary healthcare center were included.
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