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. 2021 Jul 19;28(10):2233–2240. doi: 10.1093/jamia/ocab119

Table 1.

Characteristics of matched electronic prior authorization and control prescriptions

Temporal (prepost) cohort
Concurrent cohort
Electronic prior authorization (n = 38 851) Control (n = 38 851) Electronic prior authorization (n = 2025) Control (n = 2025)
Patient sex, Female n (%) 22 595 (58.2) 22 523 (58.0) 1085 (53.6) 1147 (56.6)
Patient age, mean (SD) 58.3 (17.2) 57.5 (17.7) 58.6 (17.7) 57.8 (17.7)
Patient race, n (%)
 White 24 556 (63.2) 24 734 (63.7) 1199 (59.2) 1492 (73.7)
 Black 1481 (3.8) 1513 (3.9) 67 (3.3) 70 (3.5)
 Asian 4760 (12.3) 4551 (11.7) 334 (16.5) 96 (4.7)
 Other 8054 (20.7) 8053 (20.7) 425 (21.0) 367 (18.1)
Patient ethnicity, n (%)
 Hispanic 4198 (10.8) 4126 (10.6) 154 (7.6) 220 (10.9)
Patient insurancea, n (%)
 Commercial 33 974 (87.5) 33 974 (87.5) 1792 (88.5) 1792 (88.5)
 Medicaid 3206 (8.3) 3206 (8.3) 86 (4.3) 86 (4.3)
 Medicare 14 618 (37.6) 14 618 (37.6) 805 (39.8) 805 (39.8)
Provider specialty, n (%)
 Family or internal medicine 22 954 (59.1) 21 997 (56.6) 1011 (49.9) 1239 (61.2)
 Cardiology 699 (1.8) 819 (2.1) 37 (1.8) 42 (2.1)
 Dermatology 1823 (4.7) 1813 (4.7) 91 (4.5) 72 (3.6)
 Endocrinology 1584 (4.1) 1628 (4.2) 100 (4.9) 77 (3.8)
 Gastroenterology 890 (2.3) 817 (2.1) 71 (3.5) 40 (2.0)
 Neurology 1107 (2.9) 1187 (3.1) 58 (2.9) 60 (3.0)
 Rheumatology 1255 (3.2) 1221 (3.1) 93 (4.6) 54 (2.7)
 Other 8529 (22.0) 9369 (24.1) 564 (27.9) 441 (21.8)

Abbreviations: SD, standard deviation.

a

Some patients have multiple insurances.