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. Author manuscript; available in PMC: 2019 Jun 7.
Published in final edited form as: Epidemiology. 2017 Nov;28(6):838–846. doi: 10.1097/EDE.0000000000000709

Table 2.

The baseline characteristics of glyburide users and glipizide users from five Sentinel data partners with high dimensional propensity score models converged and completed without errors.

Covariates Unmatched Matched on predefined covariates Matched on hdPS only Matched on predefined covariates
& hdPS

New Users a Glyburide
(N=139,11
6)
Glipizide
(N=181,91
2)
Standardized
difference
Glyburide
(N=120,33
6)
Glipizide
(N=120,33
6)
Standardized difference Glyburide
(N=116,93
2)
Glipizide
(N=116,93
2)
Standardized difference Glyburide
(N=116,64
1)
Glipizide
(N=116,64
1)
Standardized difference

Gender (Female) 69,491 75,873 0.165 52,058 53,888 −0.031 48,028 47,968 0.001 47,931 47,733 0.003
(50.0%) (41.7%) (43.3%) (44.8%) (41.1%) (41.0%) (41.1%) (40.9%)
Mean age (SD) 52.8 57.0 −0.311 55.5 55.2 0.021 56.2 56.2 0.000 56.2 (12.4) 56.2 0.003
(14.1) (12.5) (12.9) (12.4) (12.4) (12.4) (12.4)
Recorded history of
 Chronic Kidney 4,704 11,470 −0.136 4,648 5,483 −0.035 4,604 5,402 −0.034 4,605 4,677 −0.003
Disease (3.4%) (6.3%) (3.9%) (4.6%) (3.9%) (4.6%) (3.9%) (4.0%)
 Serious 2,555 4,367 −0.039 2,465 2,547 −0.005 2,446 2,470 −0.001 2,438 2,456 −0.001
Hypoglycemia (1.8%) (2.4%) (2.0%) (2.1%) (2.1%) (2.1%) (2.1%) (2.1%)
 Insulin 8,552 14,669 −0.075 8,272 8,427 −0.005 8,095 8,736 −0.021 8,107 7,964 0.005
(6.1%) (8.1%) (6.9%) (7.0%) (6.9%) (7.5%) (7.0%) (6.8%)
 Metformin 44,603 79,171 −0.236 43,977 45,16, −0.020 42,705 49,924 −0.126 42,794 42,656 0.002
(32.1%) (43.5%) (36.5%) (37.5%) (36.5%) (42.7%) (36.7%) (36.6%)
 Other 22,311 39,383 −0.144 22,137 22,791 −0.014 22,098 24,727 −0.056 22,121 22,171 −0.001
antidiabetic drugs (16.0%) (21.6%) (18.4%) (18.9%) (18.9%) (21.1%) (19.0%) (19.0%)
Combined 0.3 0.4 −0.103 0.3 0.4 −0.040 0.3 0.3 0.002 0.3 0.3 0.000
Charlson/Elixhauser comorbidity (1.5) (1.8) (1.5) (1.6) (1.6) (1.6) (1.6) (1.6)
score (SD)
Health Service Utilization
Intensity
 Number of 4.9 5.7 −0.194 5.1 5.3 −0.031 5.1 5.4 −0.060 5.1 5.1 0.000
unique generic (4.1) (4.5) (4.3) (4.3) (4.3) (4.2) (4.3) (4.2)
drugs dispensed (SD)
 Number of 11.8 14.5 −0.201 12.6 13.0 −0.030 12.7 13.3 −0.045 12.7 12.7 0.001
dispensed (12.6) (14.1) (13.0) (13.3) (13.1) (13.0) (13.1) (13.0)
prescriptions (SD)
 Number of 0.1 0.2 −0.125 0.1 0.1 0.000 0.1 0.1 0.000 0.1 0.1 0.000
inpatient hospital (0.5) (0.5) (0.5) (0.5) (0.5) (0.5) (0.5) (0.5)
encounters (SD)
 Number of non- 0.1 0.1 −0.055 0.1 0.1 0.000 0.1 0.1 0.001 0.1 0.1 −0.001
acute institutional (1 0) (1 2) (1 0) (1 0) (1 1) (1 1) (1 1) (1 1)
encounters (SD)
 Number of 0.3 0.3 0.000 0.3 0.3 0.000 0.3 0.3 0.000 0.3 0.3 0.000
emergency room (0.7) (0.9) (0.8) (0.8) (0.7) (0.8) (0.7) (0.7)
encounters (SD)
 Number of 6.6 6.5 0.014 6.1 6.4 −0.037 5.9 6.0 −0.016 5.9 5.9 0.000
ambulatory (7.6) (8.4) (7.3) (8.8) (7.5) (7.6) (7.5) (7.6)
encounters (SD)
 Number of other 1.5 1.4 0.036 1.2 1.3 −0.032 1.2 1.2 0.004 1.2 1.2 0.000
ambulatory (3.2) (3.4) (2.9) (3.4) (3.0) (3.0) (2.9) (3.0)
encounters (SD)b

hdPS – High dimensional propensity score; SD – Standard deviation.

a

Please note, one Data Partner removed a small number of users that moved to administrative services only plans. Information from these users is included in Tables 1 and 2, but removed from subsequent tables.

b

Other ambulatory encounters included telemedicine and email consults, etc.