Objective: Research suggests families whose infants are admitted to the Neonatal Intensive Care Unit (NICU) experience elevated distress and may have pre-existing risk factors for maladjustment. This study sought to validate the newly developed Psychosocial Assessment Tool (PAT-NICU/Cardiac Intensive Care Unit [CICU]), a comprehensive screening measure for family psychosocial risk in the NICU.
Methods: The sample included 171 mothers, who completed the PAT-NICU/CICU and other related measures within 2 weeks of their infant's NICU admission at a level 4 unit within a large pediatric hospital. PAT-NICU/CICU scores were compared to a companion risk survey completed by NICU social workers. Test-retest reliability was assessed through repeated measures at 2-month follow-up.
Results: Analyses suggest the PAT-NICU/CICU is effective in classifying psychosocial risk. This is supported by statistically significant correlations between the PAT-NICU/CICU and validated measures, in addition to elevated scores on concurrent measures by risk classification. Internal consistency, test-retest reliability, and acceptability for the PAT-NICU/CICU were satisfactory.
Conclusions: This preliminary study demonstrates the validity, reliability, and acceptability of the PAT-NICU/CICU as a psychosocial screening tool to aid identification of families who may benefit from supportive services during NICU admission. This new measure is a more comprehensive tool that assesses a wide variety of risk factors and stress responses. However, future studies of this measure are needed with more diverse samples. Prompt screening of NICU parents may facilitate earlier linkage with appropriate levels of resources or intervention. This research is crucial in improving risk assessment and psychosocial care for families in the NICU.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1093/jpepsy/jsac081 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The Carbon Footprint of Hospital Services and Care Pathways: A State-of-the-Science Review.
Environ Health Perspect
December 2024
Public and Occupational Health, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands.
Background: Climate change is the 21st century's biggest global health threat, endangering health care systems worldwide. Health care systems, and hospital care in particular, are also major contributors to greenhouse gas emissions.
Objectives: This study used a systematic search and screening process to review the carbon footprint of hospital services and care pathways, exploring key contributing factors and outlining the rationale for chosen services and care pathways in the studies.
Invited Perspective: Accelerating Action toward Carbon-Neutral Hospital Care.
Environ Health Perspect
December 2024
Department of Intensive Care Medicine, Radboud University Medical Center, Nijmegen, the Netherlands.
Large Language Models in Worldwide Medical Exams: Platform Development and Comprehensive Analysis.
J Med Internet Res
December 2024
Joint Laboratory of Artificial Intelligence for Critical Care Medicine, Department of Critical Care Medicine and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Background: Large language models (LLMs) are increasingly integrated into medical education, with transformative potential for learning and assessment. However, their performance across diverse medical exams globally has remained underexplored.
Objective: This study aims to introduce MedExamLLM, a comprehensive platform designed to systematically evaluate the performance of LLMs on medical exams worldwide.
Genetic Association of Juvenile Idiopathic Arthritis With Adult Rheumatic Disease.
JAMA Netw Open
December 2024
Department of Cell Biology, The Province and Ministry Cosponsored Collaborative Innovation Center for Medical Epigenetics, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Tianjin Key Laboratory of Medical Epigenetics, Tianjin Institute of Immunology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
Importance: Patients with juvenile idiopathic arthritis (JIA) may develop adult rheumatic diseases later in life, and prolonged or recurrent disease activity is often associated with substantial disability; therefore, it is important to identify patients with JIA at high risk of developing adult rheumatic diseases and provide specialized attention and preventive care to them.
Objective: To elucidate the full extent of the genetic association of JIA with adult rheumatic diseases, to improve treatment strategies and patient outcomes for patients at high risk of developing long-term rheumatic diseases.
Design, Setting, And Participants: In this genetic association study of 4 disease genome-wide association study (GWAS) cohorts from 2013 to 2024 (JIA, rheumatoid arthritis [RA], systemic lupus erythematosus [SLE], and systemic sclerosis [SSc]), patients in the JIA cohort were recruited from the US, Australia, and Norway (with a UK cohort included in the meta-analyzed cohort), while patients in the other 3 cohorts were recruited from US and Western European countries.
Estimated Vaccine Effectiveness for Pediatric Patients With Severe Influenza, 2015-2020.
JAMA Netw Open
December 2024
Influenza Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia.
Importance: Increasing the understanding of vaccine effectiveness (VE) against levels of severe influenza in children could help increase uptake of influenza vaccination and strengthen vaccine policies globally.
Objective: To investigate VE in children by severity of influenza illness.
Design, Setting, And Participants: This case-control study with a test-negative design used data from 8 participating medical centers located in geographically different US states in the New Vaccine Surveillance Network from November 6, 2015, through April 8, 2020.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!