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. Author manuscript; available in PMC: 2017 May 1.
Published in final edited form as: J Pediatr. 2016 Feb 17;172:187–193.e1. doi: 10.1016/j.jpeds.2016.01.049

Table 1.

Demographic for the Children with Medical Complexity (CMC) cohort and the Greater Cincinnati Asthma Risks Study (GCARS) comparator cohort

CMC Cohort (n=167) GCARS Cohort (n=770) p-value*
n % n %
Patient Characteristics
Age in years [median, (IQR)] 7.8 (4.2-12.3) 5.4 (2.9-9.0) <0.0001
Male sex 105 62.9 500 64.9 0.61
Race <0.0001
    White 138 82.6 254 33.0
    Black 23 13.8 440 57.1
    Other 6 3.6 76 9.8
Hispanic Ethnicity 2 1.2 25 3.3 0.15
Primary Insurer <0.0001
    Private 67 40.1 171 22.2
    Public 100 59.9 599 77.8
Secondary Insurer 131 81.4

Caregiver Characteristics
Age in years[median, (IQR)] 40 (32-46) 30 (26-35) <0.0001
Male sex 24 14.4 81 10.5 0.15
Marital Status <0.0001
    Single 33 19.9 484 66.3
    Married 98 59.0 209 28.6
    Separated 14 8.4 34 4.7
    Divorced 18 10.8 3 0.4
    Widowed 3 1.8 0 0

Clinical Characteristics (Patients in CMC Cohort)
Complex Chronic Conditions
    Neurologic/Neuromuscular 119 74.4
    Congenital/Genetic defect 113 70.6
    Gastrointestinal 109 68.1
    Cardiovascular 83 51.9
    Respiratory 77 48.1
    Metabolic 54 33.8
    Renal 53 33.1
    Transplant/Miscellaneous 46 28.8
    Neonatal 40 25.0
    Hematology/Immunodeficiency 29 18.1
    Malignancy 17 10.6
CCC count [median, (IQR)] 5 [3-6]
Technology Dependence 119 71.3
        Gastrointestinal 104 65.0
        Miscellaneous 46 28.8
        Respiratory 44 27.5
        Neurologic/Neuromuscular 18 11.3
        Cardiovascular 13 8.1
        Renal 14 8.8
        Metabolic 4 2.5
Number of Subspecialists [median, (IQR)] 7 [5-10]
*

p-value assessing comparison between CMC and GCARS cohorts using Chi-square test for categorical variables and Wilcoxon Rank Sum test for continuous variables