2021
DOI: 10.1542/hpeds.2021-006051
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Factors Influencing US Hospital and Medical School Participation in Pediatric COVID-19 Research

Abstract: BACKGROUND AND OBJECTIVES: Literature suggests that funding for pediatric clinical trials is inequitably awarded. Furthermore, although coronavirus disease 2019 (COVID-19) affected all hospitals, institutions with already limited resources were more severely impacted. We hypothesized that there would be difference in schools and hospitals that were able to participate in the initial round of pediatric COVID-19 clinical research. METHODS: … Show more

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Cited by 3 publications
(10 citation statements)
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“…These variables included medical school type (public vs private), school location (based on US Census region), school ranking in the US News and World Report top 10, NIH funding in 2019, number of full-time faculty in 2019, faculty diversity, and the ratio of full-time faculty to total enrollment in the academic year 2019–2020. School type, location, ranking, and NIH funding data were obtained from a previous study 12 . The number of faculty and data on faculty diversity were obtained by a custom query from the AAMC Faculty Administrative Management Online User System database 13 .…”
Section: Methodsmentioning
confidence: 99%
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“…These variables included medical school type (public vs private), school location (based on US Census region), school ranking in the US News and World Report top 10, NIH funding in 2019, number of full-time faculty in 2019, faculty diversity, and the ratio of full-time faculty to total enrollment in the academic year 2019–2020. School type, location, ranking, and NIH funding data were obtained from a previous study 12 . The number of faculty and data on faculty diversity were obtained by a custom query from the AAMC Faculty Administrative Management Online User System database 13 .…”
Section: Methodsmentioning
confidence: 99%
“…Among schools in the sustained increase category, the association between each covariate and the rate of scholarly productivity growth was assessed using quantile regression. Multivariable analysis could not be used because of substantial collinearity among study variables 12 . Data analysis was completed using STATA/SE 16.1 (StataCorp, College Station, TX), and P < 0.05 was considered statistically significant.…”
Section: Methodsmentioning
confidence: 99%
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