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Table 2 Baseline measurements of patients and physicians

From: Computerized clinical decision support system for diabetes in primary care does not improve quality of care: a cluster-randomized controlled trial

 

Number of (%) of patients

N = 3815

Intervention

n = 1351

Control

n = 2464

p-value

Sex, females (%)

643 (47.59)

1266 (51.38)

0.025

Age, mean years (SD)

67.24 (±13.31)

64.60 (± 14.65)

< .001

HbA1c, mean % (SD)

7.25 (±1.88)

6.68 (± 1.12)

0.088*

Blood pressure, mean mm Hg (SD)

 Systolic

133.39 (±15.01)

132.93 (± 14.21)

0.34*

 Diastolic

77.69 (±7.97)

78.26 (± 19.18)

0.77*

LDL cholesterol, mean mg/dL (SD)

92.16 (±34.12)

97.85 (± 34.68)

0.19*

Number of patients on target for clinical variables

 HbA1c, number of (%)

356/599 (59.43%)

777/1104 (70.38%)

0.03**

 Blood pressure, number of (%)

797/1018 (78.29%)

1180/1507 (78.30%)

0.99**

 LDL cholesterol, number of (%)

432/672 (64.29%)

850/1475 (57.63%)

0.11**

Number of patients on target for process variables

 Quarterly check HbA1c

28/1351 ( 2.07%)

107/2464 (4.34%)

0.42**

 Quarterly check blood pressure

263/1351 (19.47%)

392/2464 (15.91%)

0.59**

 Yearly check LDL cholesterol

780/1351 (57.74%)

1489/2464 (60.43%)

0.75**

 Yearly check micro-albuminuria

11/1351 (0.81%)

202/2464 (8.20%)

0.03**

 Prescription of statin

425/1351 (31.46%)

677/2464 (27.48%)

0.24**

 Prescription of aspirin/clopidogrel

44/1351 (3.26%)

57/2464 (2.31%)

0.12**

 Prescription of ACE-Inhibitors/sartans if antihypertensive drugs are prescribed

716/1092 (65.57%)

1084/1658 (65.38%)

0.97**

 

Number of (%) of physicians

N = 52

Intervention

n = 21

Control

n = 31

p-value

Sex, females (%)

10/21 (47.62)

10/31 (32.26)

0.38

Age, mean years (SD)

51.19 (± 11.70)

50.94 (± 15.93)

0.83

Language, Dutch (%)

14/21 (66.67)

18/31 (58.06)

0.58

  1. *Baseline differences are tested by means of linear mixed models with a random effect for practice
  2. **Baseline differences are tested by means of logistic regression models with estimation by GEE to account for clustering by practice