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Table 3 Referring physician’s comments on the consultation requesting process, timeliness, utility, and satisfaction of information received from consultations

From: Comparing virtual consults to traditional consults using an electronic health record: an observational case–control study

Survey question

All consultations number/respondents (%)

VC number/respondents (%) 71 total responses possible

TC number/respondents (%) 58 total responsespossible

P -value for VC vs. TC

number of missing or cannot recall responses (n = 128 maximum)

Referring physician called department before making consultation?

9/127 (7.1%)

4/70 (5.7%)

5/57 (8.8%)

0.52

1

Process of making consultation majorly or fairly disruptive to workflow?

3/123 (2.4%)

2/67 (3.0%)

1/56 (1.8%)

0.67

5

Referring physician solicited patient preference for type of consultation.

41/123 (33.3%)

18/68 (26.5%)

23/55 (41.2%)

0.15

5

Patients who expressed a preference for consultation type.

25/111 (22.5%)

16/60 (26.7)

9/51 (17.6)

0.38

17

Information received from consultant by the time referring physician completed the survey (2–3 weeks after consultation request)

68/124 (54.8%)

49/68 (72.1%)

19/56 (33.9%)

<0.001

4

Of referring physicians (n = 68) who received consultant information at the time of the survey, usefulness with information from consultation

 Useful (8–10 on 10 point Likert scale)

25/33 (75.6%)

17/21 (81.0%)

8/12 (66.7%)=

0.66

35

 Somewhat useful (6–7 on 10 point  Likert scale)

4/33 (12.1%)

2/21 (9.5%)

2/12 (16.7%)

  

 Not useful (1–5 on 10 point Likert scale)

4/33 (12.1%)

2/21 (9.5%)

2/12 (16.7%)

  

Of referring physicians (n = 68) who received consultant information at the time of the survey, satisfaction with information from consultation

 Satisfied (8–10 on 10 point Likert scale)

26/36 (72.2%)

18/24 (75.0%)

8/12 (66.7%)

0.40

32

 Somewhat satisfied (6–7 on 10 point  Likert scale)

5/36 (13.9%)

2/24 (8.3%)

3/12 (25.0%)

  

 Not satisfied (1–5 on 10 point  Likert scale)

5/36 (13.9%)

4/24 (16.7%)

1/12 (8.3%)

  
  1. *p values from logistic models with a random effect to adjust for clustering of patients within physicians.