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Showing 397 to 399 of 399 entries
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Parent-adolescent discrepancies in adolescent recreational screen time reporting during the COVID-19 pandemic.

Academic pediatrics

Nagata JM, Cortez CA, Iyer P, Ganson KT, Chu J, Conroy AA.
PMID: 34923146
Acad Pediatr. 2021 Dec 16; doi: 10.1016/j.acap.2021.12.008. Epub 2021 Dec 16.

OBJECTIVE: To describe the relationship between parent and adolescent reports of adolescent recreational screen time and to determine sociodemographic predictors of recreational screen time reporting differences during the COVID-19 pandemic.METHODS: We analyzed data from the Adolescent Brain Cognitive Development...

Comparing Artificial Intelligence and Traditional Methods to Identify Factors Associated With Pediatric Asthma Readmission.

Academic pediatrics

Hogan AH, Brimacombe M, Mosha M, Flores G.
PMID: 34329757
Acad Pediatr. 2021 Jul 27; doi: 10.1016/j.acap.2021.07.015. Epub 2021 Jul 27.

OBJECTIVE: To identify and contrast risk factors for six-month pediatric asthma readmissions using traditional models (Cox proportional-hazards and logistic regression) and artificial neural-network modeling.METHODS: This retrospective cohort study of the 2013 Nationwide Readmissions Database included children 5 to 18...

Moving From Spending to Investment: A Research Agenda for Improving Health Care Financing for Children and Youth With Special Health Care Needs.

Academic pediatrics

Kuo DZ, Comeau M, Perrin JM, Coleman C, White P, Lerner C, Stille CJ.
PMID: 34808384
Acad Pediatr. 2021 Nov 19; doi: 10.1016/j.acap.2021.11.009. Epub 2021 Nov 19.

Children and youth with special health care needs (CYSHCN) use disproportionately more health care resources than non-CYSHCN, and their unique needs merit additional consideration. Spending on health care in the United States is heavily concentrated on acute illnesses through...

Showing 397 to 399 of 399 entries