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Table 1 Characteristics of participating and non-participating physicians

From: Accuracy of syndrome definitions based on diagnoses in physician claims

 

Participating physicians (N = 1,098)

Non-participating physicians (N = 2,160)

Physician characteristics

No.

(%)

No.

(%)

Gender:

    

   Female

411

37.4

823

38.1

   Male

687

62.6

1,337

61.9

Preferred language:

    

   French

1,006

91.6

1,937

89.7

   English

92

8.4

223

10.3

Specialty:

    

   General practice

993

90.4

1,932

89.4

   Internal medicine

13

1.2

41

1.9

   Pediatrics

62

5.6

102

4.7

   General surgery

30

2.7

85

3.9

   Geriatrics

0

0

0

0

Type of setting selected:1

    

   Private clinic

1,060

96.5

2,044

94.6

   Community health center

5

0.5

9

0.4

Hospital-based

ambulatory clinic

33

3.0

107

5.0

Geographic location of selected setting:1,3

    

    Urban

921

83.9

1,867

86.4

    Rural

177

16.1

293

13.6

 

Mean

SD

Mean

SD

Years since licensure

24.2

9.7

22.3

10.5

No. days worked per year1

157.0

55.0

143.2

59.8

No. patients seen per day worked1

21.2

13.4

21.0

13.3

Syndrome frequency based on claim ICD-9 code

No. visits 1,2

Prevalence

per 1,000 visits 1

No. visits 1,2

Prevalence

per 1,000 visits 1

CDC and DoD ESSENCE 4

    

   Fever

80,884

11

160,821

12

   Gastrointestinal

162,282

22

309,209

24

   Neurological

40,236

5

73,810

6

   Rash

126,900

17

224,370

17

   Respiratory

911,924

125

1,643,240

126

RODS 5

    

   Fever

162,000

22

291,990

22

   Gastrointestinal

146,355

20

283,578

22

   Neurological

36,344

5

67,344

5

   Rash

55,251

8

103,698

8

   Respiratory

478,201

65

877,556

67

Influenza-like illness 6

    

   Large-group

622,046

85

1,129,782

87

   Small-group

32,173

4

61,127

5

  1. 1 As per our study design, for each physician, a single practice location was randomly selected to facilitate the validation process. The information in this table is based in claims generated from the selected practice location during the 2-year study period.
  2. 2 There were a total of 7,315,994 visits to the 1,098 participating physicians, and 13,010,410 visits to the 2,160 eligible non-participating physicians at the selected practice location during the 2-year study period.
  3. 3 We tested the statistical significance (at the p < 0.05 level) of any differences between participating and non-participating physicians using a multivariate logistic regression model where the dependent variable was participation and the independent variables were all characteristics in Table 1. Due to overlap between CDC, RODS, and ILI syndrome definitions, to avoid collinearity, we used separate models for each set of syndrome definitions. As compared to non-participating physicians, participating physicians had been in practice longer (odds ratio (OR)per 10 years since licensure, 1.15; 95% CI, 1.05-1.25), had worked more days (ORper 50 days, 1.18; 95% CI, 1.09-1.28) during the 2-year study period.
  4. 4 Syndrome case definitions developed and published by the US Centers for Disease Control and Prevention (CDC) in 2003, and used by the US Department of Defense's Electronic Surveillance System for Early Notification of Community-based Epidemics (ESSENCE).
  5. 5 Syndrome case definitions developed in the context of the University of Pittsburgh's Real-time Outbreak and Disease Surveillance (RODS) system.
  6. 6 Syndrome case definitions developed in the context of the US Department of Defense's Electronic Surveillance System for Early Notification of Community-based Epidemics (ESSENCE).