Section on Medicine-Pediatrics (SOMP) 2018
DOI: 10.1542/peds.141.1_meetingabstract.489
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Association Between Insurance and Transfer of Injured Children from Emergency Departments

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Cited by 6 publications
(7 citation statements)
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“…Patient‐level confounders included age, gender, race/ethnicity, insurance, severity of illness, and having a complex chronic condition. Insurance was included as a patient‐level and index hospital‐level confounder since there is evidence that insurance may affect transfer and ED choice at each level 3,32 . Derived index hospital variables (e.g., pediatric volume and percent Medicaid) were standardized by subtracting the sample mean and dividing the result by the sample standard deviation to put the variables on a similar scale and to stabilize model estimates.…”
Section: Methodsmentioning
confidence: 99%
“…Patient‐level confounders included age, gender, race/ethnicity, insurance, severity of illness, and having a complex chronic condition. Insurance was included as a patient‐level and index hospital‐level confounder since there is evidence that insurance may affect transfer and ED choice at each level 3,32 . Derived index hospital variables (e.g., pediatric volume and percent Medicaid) were standardized by subtracting the sample mean and dividing the result by the sample standard deviation to put the variables on a similar scale and to stabilize model estimates.…”
Section: Methodsmentioning
confidence: 99%
“…Because trauma patients experience different transfer patterns 17,18 and transfer protocols than nontrauma patients, [19][20][21] we determined a priori that analyses would be stratified on the presence (vs absence) of one or more -2021…”
Section: Statistical Analysesmentioning
confidence: 99%
“…[10][11][12][13][14][15][16][17] Whether racial and ethnic disparities in IHT contribute to gaps in healthcare access is less well studied. Prior IHT research, 1,3,[18][19][20][21][22][23][24][25][26][27][28][29] including registry-based studies exploring factors associated with IHT, 1,4,24 has suggested influence of non-clinical factors, including race/ethnicity, on transfer practices. The most robust body of evidence derives from the cardiology literature, 3,19,20,23,26 in which minority patients have been shown to be less likely to be transferred to hospitals with revascularization capabilities.…”
Section: Introductionmentioning
confidence: 99%