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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.