Identifying Inpatient Pediatric Services Across National Datasets DOI Creative Commons
Corrie E. McDaniel,

Ma. de los Angeles Alamilla Daniel,

Seneca D. Freyleue

и другие.

JAMA Network Open, Год журнала: 2025, Номер 8(6), С. e2513527 - e2513527

Опубликована: Июнь 3, 2025

National statistics about regionalization and access to hospitals' pediatric services have been derived from different datasets with differing sampling frames, sizes, designs, generating conflicting estimates service accessibility. To calculate test characteristics for the provision of hospital-based inpatient in 3 national explore models improving identification a merged dataset. This cross-sectional study analyzed 3114 US hospitals common across American Hospital Association Annual Survey (AHA), Centers Medicare & Medicaid Services Provider Service File (POS), Pediatric Readiness Project (NPRP) 2021. Analysis was conducted June 2024 March 2025. Provision 4 services-newborn, neonatal intensive care, general care. Test model performance were calculated reported as F1 scores, machine learning evaluation metric that calculates harmonic mean precision recall within model, AHA POS relative NPRP, this study's benchmark reporting. Logistic regression, random forest, gradient-boosted trees, rule-based tested estimate using Of hospitals, NPRP identified 2742 providing newborn care (88.1%), 1375 (44.2%), 2204 offering (70.8%), 450 (14.5%). For data showed 95.7% agreement (F1 = 0.97; 95% CI, 0.96-0.97), while 89.4% 0.62; 0.60-0.64). 89.8% 0.86; 0.85-0.88) 72.9% 0.75; 0.74-0.77). General lower agreement, showing 65.6% 0.69; 0.67-0.71) 69.7% 0.79; 0.77-0.80). 81.5% 0.91; 0.90-0.93) 78.3% 0.49; 0.46-0.51). Merging modestly improved accuracy. In commonly used datasets, reporting varied significantly. As these inform health policy, results may guide approaches optimize line definitions.

Язык: Английский

Trends in fatal paediatric unintentional injury: what is going on? DOI
Frederick P. Rivara

Injury Prevention, Год журнала: 2025, Номер unknown, С. ip - 045675

Опубликована: Май 2, 2025

In recent years, the reduction in rates of fatal unintentional injuries to children USA has not only plateaued, beginning before pandemic, but reversed, with increases across most mechanisms injury. This study seeks understand reasons for this trend, focusing on aged 1–14 years 2001–2023 and highest fatality substantial last few years. The rate fatalities changes were due motor vehicle crashes, drowning, fires burns. Many factors that are associated risk injury actually decreased prevalence over decade while plateauing then increasing. These include improved highway roadway safety designs, lower cigarette smoking, more homes carbon monoxide alarms, fewer mobile homes, higher life-jacket use, small recreational boats decreases child poverty. Increases emotional behavioural disorders likely responsible age group. An important contributor injury, particularly among racial groups experiencing greatest change mortality trajectory, is sociocultural economic environment which live, learn play. Smartphone use by teens caregivers was one factor dramatically increased decade, distraction from phone stands out as culprit increase fatalities.

Язык: Английский

Процитировано

0
Increasing Financial Performance of Pediatric Hospital Medicine Programs Through Appropriate Critical Care Billing DOI
Paul Scalici, Erin E. Shaughnessy

Hospital Pediatrics, Год журнала: 2025, Номер unknown

Опубликована: Май 5, 2025

Язык: Английский

Процитировано

0
A Call to Action: Inadequate Resources for Children in Hospitals DOI

Ethan Pfeifer,

James A. Lin

Hospital Pediatrics, Год журнала: 2025, Номер unknown

Опубликована: Май 19, 2025

Язык: Английский

Процитировано

0
Identifying Inpatient Pediatric Services Across National Datasets DOI Creative Commons
Corrie E. McDaniel,

Ma. de los Angeles Alamilla Daniel,

Seneca D. Freyleue

и другие.

JAMA Network Open, Год журнала: 2025, Номер 8(6), С. e2513527 - e2513527

Опубликована: Июнь 3, 2025

National statistics about regionalization and access to hospitals' pediatric services have been derived from different datasets with differing sampling frames, sizes, designs, generating conflicting estimates service accessibility. To calculate test characteristics for the provision of hospital-based inpatient in 3 national explore models improving identification a merged dataset. This cross-sectional study analyzed 3114 US hospitals common across American Hospital Association Annual Survey (AHA), Centers Medicare & Medicaid Services Provider Service File (POS), Pediatric Readiness Project (NPRP) 2021. Analysis was conducted June 2024 March 2025. Provision 4 services-newborn, neonatal intensive care, general care. Test model performance were calculated reported as F1 scores, machine learning evaluation metric that calculates harmonic mean precision recall within model, AHA POS relative NPRP, this study's benchmark reporting. Logistic regression, random forest, gradient-boosted trees, rule-based tested estimate using Of hospitals, NPRP identified 2742 providing newborn care (88.1%), 1375 (44.2%), 2204 offering (70.8%), 450 (14.5%). For data showed 95.7% agreement (F1 = 0.97; 95% CI, 0.96-0.97), while 89.4% 0.62; 0.60-0.64). 89.8% 0.86; 0.85-0.88) 72.9% 0.75; 0.74-0.77). General lower agreement, showing 65.6% 0.69; 0.67-0.71) 69.7% 0.79; 0.77-0.80). 81.5% 0.91; 0.90-0.93) 78.3% 0.49; 0.46-0.51). Merging modestly improved accuracy. In commonly used datasets, reporting varied significantly. As these inform health policy, results may guide approaches optimize line definitions.

Язык: Английский

Процитировано

0