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Table 2 Summaries of meaningful use readiness dimensions by respondents’ roles and practice setting type

From: Stage 1 of the meaningful use incentive program for electronic health records: a study of readiness for change in ambulatory practice settings in one integrated delivery system

Dimensions

Practice setting type

Role

 

Primary n (%)

Specialty n (%)

P-value*

Doctor n (%)

Nurse n (%)

Advanced practice provider n (%)

P-value*

Individual Readiness

       

Able to demonstrate

  

0.767

   

0.312

MU

     

 Very confident

34 (36.6)

63 (35.2)

62 (32.5)

21 (45.7)

14 (40.0)

 Less confident

59 (63.4)

116 (64.8)

129 (67.5)

25 (54.4)

21 (60.0)

 Missing

47

81

89

19

20

Willing to change work practices for MU

  

0.932

   

<0.001

 Very willing

82 (64.1)

155 (65.4)

151 (57.9)

45 (83.3)

41 (82.0)

 Less willing

46 (35.9)

82 (34.6)

110 (42.2)

9 (16.7)

9 (18.0)

 Missing

12

23

19

11

5

Perceived departmental predictors

       

Department will support MU demonstration

  

0.404

   

0.113

 Strongly agrees

80 (64.0)

127 (55.2)

141 (55.5)

34 (61.8)

32 (69.6)

 Does not strongly agree

45 (36.0)

103 (44.8)

113 (44.5)

21 (38.2)

14 (30.4)

 Missing

15

30

26

10

9

Department will solve problems to minimize productivity declines during MU implementation

  

0.393

   

0.023

 Very confident

48 (38.4)

67 (30.0)

71 (28.4)

24 (47.1)

20 (42.6)

 Less confident

77 (61.6)

156 (70.0)

179 (71.6)

27 (52.9)

27 (57.5)

 Missing

15

37

30

14

8

MU fits department's goals for patient care

  

0.786

   

0.375

 Strongly agrees

62 (49.6)

83 (37.9)

100 (40.5)

24 (45.3)

21 (47.7)

 Does not strongly agree

63 (50.4)

136 (62.1)

147 (59.5)

29 (54.7)

23 (52.3)

 Missing

15

41

33

12

11

MU diverts attention from other patient care activities

  

0.019

   

0.404

 Strongly agrees

5 (4.4)

26 (12.6)

26 (10.8)

3 (7.5)

2 (5.0)

 Does not strongly agree

110(95.7)

180 (87.4)

215 (89.2)

37 (92.5)

38 (95.0)

 Missing

25

54

39

25

15

  1. *P-values for comparing across groups from generalized estimating equation model controlling for clustering by division.