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Table 4 Association between contributing factors and Level of Acceptance and use of EHR

From: Usability evaluation of electronic health records at the trauma and emergency directorates at the Komfo Anokye teaching hospital in the Ashanti region of Ghana

Variable

Level of acceptance of EHR

X2 (p-value)

Satisfactory, n(%)

Unsatisfactory, n(%)

Comfortable using EHR

  

11.3(0.001)*

 Yes

182(89.7)

21(10.3)

 

 No

21(67.7)

10(32.3)

 

Training Source for EHR Usage

  

76.8(0.13)

 IT Officer

118(58.1)

10(32.3)

 

 EHR manager

77(37.9)

10(32.3)

 

 Colleagues at work

0(0.00)

11(35.5)

 

 Was never trained

8(3.9)

0(0.00)

 

Adequacy of EHR Training

 

24.3(0.18)

 Most adequately

64(31.5)

10(32.3)

 

 Fully adequately

139(68.5)

0(0.00)

 

 Somewhat adequately

0(0.00)

21(67.7)

 

IT Officer Support Post-Training

 

31.9(0.001)*

 Some support

76(37.4)

21(67.7)

 

 No support

21(10.3)

10(32.3)

 

 Full support

106(92.0)

0(0.00)

 

Wait Time During Network

Downtime

 

37.8(0.40)

 10-20 minutes

54(26.6)

10(32.3)

 

 21-30 minutes

43(21.2)

21(67.7)

 

 <10 minutes

95(46.8)

0(0.0)

 

 >30 minutes

11(5.4)

0(0.0)

 

Discouragement Due to Network Downtime

13.4(0.001)*

 Sometimes

85(41.9)

20(64.5)

 

 Always

55(27.1)

11(35.5)

 

 Rarely

63(31.0)

0(0.0)

 

Impression of the EHR System

 

7.9(0.07)

 Very good

44(21.7)

0(0.0)

 

 Good

159(78.3)

20(64.5)

 

 Poor

0(0.0)

11(35.5)

 

Reliability of EHR

  

30.7(0.001)*

 Yes

193(95.1)

20(64.5)

 

 No

10(4.9)

11(35.5)

 

EHR helps reduce patient waiting time

14.4(0.007)*

 Yes

182(89.7)

20(64.5)

 

 No

21(10.3)

11(35.5)

 

Impact of EHR on Patient Care

  

7.5(0.0012)*

 Yes

203(100.0)

20(64.5)

 

 No

0(0.00)

11(35.5)

 

Impact of EHR on Revenue Generation

  

8.5(0.004) *

 Yes

75(36.9)

20(64.5)

 

 No

128(63.1)

11(35.5)

 
  1. *(p-value <0.05): statistically significant, X2: Chi-square