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. 2020 Sep 12;76(3):S56–S63. doi: 10.1016/j.annemergmed.2020.08.018

Table 3.

Adjusted logistic regression model predicting likelihood of delayed ED care.

Characteristic Adjusted β OR 95% CI
Stigma experiences .09 1.09 1.03 to 1.16
ASCQ-Me Pain Episode Frequency measure .14 1.15 1.01 to 1.32
ED utilization (vs low)
 High .93 6.07 1.18 to 31.19
ASCQ-Me quality of care health care satisfaction ranking –.30 0.74 0.59 to 0.94
No. of physician visits .20 1.24 0.87 to 1.76
Sickle Cell Disease Severity Score –1.51 0.22 0.02 to 2.07
Age –.02 0.98 0.94 to 1.02
Sex (vs male sex)
 Female sex .26 1.69 0.72 to 3.97
Depression (vs none)
 Yes –.15 0.86 0.24 to 3.12
Insurance type (vs private/Medicare)
 No insurance –.16 0.93 0.19 to 4.52
 Government/Medicaid .26 1.42 0.51 to 3.93
Highest education (vs professional/doctoral)
 High school/associate/some college .71 4.17 0.76 to 23.0
 Bachelor’s/master’s .01 2.07 0.40 to 10.65
Marital status (vs never married)
 Married/living with partner –.05 0.81 0.29 to 2.47
 Divorced/separated/widowed –.09 0.84 0.23 to 2.77
Income .07 1.07 0.93 to 1.24
Rosenberg Self-Esteem Scale .01 1.01 0.92 to 1.12

The β coefficient gives the likelihood of delaying ED care for every one-unit increase (eg, every additional year in age) or between the indicated group and reference group (eg, female vs male individuals).