Table 1

Postmatching patient* demographic and clinical characteristics

Matched dulaglutide initiators
(n=903)
Matched basal insulin initiators
(n=903)
Std. diff.†
Female, n (%)448 (49.6)429 (47.5)0.042
Age (years), mean (SD)54.2 (8.79)54.3 (9.20)−0.008
Health plan type, n (%)
 PPO489 (54.2)492 (54.5)−0.007
 HMO253 (28.0)238 (26.4)0.037
 CDHP161 (17.8)173 (19.2)−0.034
Medicare Advantage, n (%)<10 (-)<10 (-)0.024
ACA exchange, n (%)91 (10.1)88 (9.7)0.011
Geographic region, n (%)
 South510 (56.5)509 (56.4)0.002
 West208 (23.0)212 (23.5)−0.010
 North-east119 (13.2)120 (13.3)−0.003
 Mid-west66 (7.3)62 (6.9)0.017
Prescribing HCP specialty, n (%)
 PCP446 (49.4)445 (49.3)0.002
 Endocrinologist228 (25.2)221 (24.5)0.018
 Other212 (23.5)209 (23.1)0.008
Quan-Charlson Comorbidity Index, mean (SD)0.6 (0.97)0.6 (0.98)0.001
aDCSI Score, mean (SD)0.6 (1.05)0.7 (1.11)−0.053
Comorbid conditions, n (%)
 Dyslipidemia688 (76.2)676 (74.9)0.031
 Hypertension667 (73.9)676 (74.9)−0.023
 Obesity255 (28.2)255 (28.2)0.000
 Cardiovascular106 (11.7)126 (14.0)−0.066
 Nephropathy82 (9.1)91 (10.1)−0.034
 Neuropathy52 (5.8)61 (6.8)−0.041
 Retinopathy26 (2.9)35 (3.9)−0.055
Endocrinologist visits, n (%)248 (27.5)246 (27.2)0.005
 Number of visits, mean (SD) per patient0.5 (0.88)0.5 (0.94)−0.015
Oral antidiabetic medications, n (%)814 (90.1)815 (90.3)−0.004
 Metformin697 (77.2)700 (77.5)−0.008
 Sulfonylureas353 (39.1)367 (40.6)−0.032
 DPP-4 inhibitors344 (38.1)351 (38.9)−0.016
 SGLT2 inhibitors220 (24.4)213 (23.6)0.018
 Thiazolidinediones84 (9.3)82 (9.1)0.008
 Meglitinides10 (1.1)17 (1.9)−0.064
 α-glucosidase inhibitors<10 (-)<10 (-)−0.090
 OAD classes per patient, mean (SD)1.9 (1.11)1.9 (1.11)−0.028
 OAD fills, mean (SD)4.8 (3.61)4.7 (3.62)0.034
HbA1c (%), mean (SD)8.65 (1.66)8.64 (1.63)0.007
HbA1c (%), categorical n (%)
 <7%113 (12.5)113 (12.5)0.000
 7% to <8%238 (26.4)238 (26.4)0.000
 8% to <9%236 (26.1)236 (26.1)0.000
 9% to <10%134 (14.8)134 (14.8)0.000
 10% to <11%92 (10.2)92 (10.2)0.000
 ≥11%90 (10.0)90 (10.0)0.000
  • *Patients were matched using propensity scores. Exact matching was also applied on categories of baseline HbA1c and whether a patient had complete costs. Propensity scores were calculated via logistic regression using the covariates age (continuous as well as age ≥65 vs age <65), gender, geographic location, Affordable Care Act exchange coverage, health plan type and prescribing healthcare provider specialty (endocrinologist vs PCP vs others/missing) on the index date; and aDCSI (continuous and categorical), presence of cardiovascular disease, presence of obesity, presence of peripheral vascular disorders, presence of renal diseases, presence of retinopathy, presence of cerebrovascular disease, presence of neuropathy, presence and number of endocrinologist visits, presence of all-cause inpatient hospitalization, presence of all-cause ER visit, all-cause hospitalization LOS, number of diabetes-related prescription drug fills, presence of OAD fills, number of OAD medication classes (continuous and categorical), presence of metformin, sulfonylureas, SGLT2 inhibitors, diabetes supplies, HbA1c results, and all-cause total medical costs (<100K vs 100K to <200K vs 200K to <500K vs ≥500K) during the baseline period.

  • †Standardized differences: absolute standardized differences of ≤0.10 were considered to denote balance in baseline characteristics between the cohorts. All p values >0.05.

  • ACA, Affordable Care Act; aDCSI, adapted Diabetes Complications Severity Index; CDHP, consumer-driven health plan; DPP-4, dipeptidyl peptidase-4; ER, emergency room; HCP, healthcare provider; HMO, health maintenance organization; LOS, length of stay; OAD, oral antidiabetic drug; PCP, primary care physician; PPO, preferred provider organization; SGLT2, sodium-glucose co-transporter-2.