Research Article

Revisiting Provider Communication to Support Team Cohesiveness: Implications for Practice, Provider Burnout, and Technology Application in Primary Care Settings

Table 4

Association of communication mode with provider burnout-related outcomes.

OutcomesOdds ratio

In-person
 PCMI2.53 (1.7, 3.86)
 Self-reported burnout0.64 (0.43, 0.92)
 Satisfied with job1.51 (1.05, 2.19)
 Intention to leave0.55 (0.36, 0.85)

Electronic health record
 PCMI1.23 (0.92, 1.66)
 Self-reported burnout0.9 (0.67, 1.23)
 Satisfied with job1.05 (0.78, 1.4)
 Intention to leave0.87 (0.61, 1.24)

Telephone call
 PCMI1.41 (1.03, 1.93)
 Self-reported burnout0.81 (0.59, 1.11)
 Satisfied with job0.92 (0.67, 1.25)
 Intention to leave1.27 (0.87, 1.88)

Text message
 PCMI1.38 (1.03, 1.86)
 Self-reported burnout0.88 (0.65, 1.19)
 Satisfied with job1.21 (0.9, 1.64)
 Intention to leave1 (0.69, 1.43)

E-mail
 PCMI1.16 (0.88, 1.55)
 Self-reported burnout0.84 (0.62, 1.12)
 Satisfied with job1.04 (0.78, 1.38)
 Intention to leave0.88 (0.62, 1.24)

Smartphone application
 PCMI0.97 (0.68, 1.4)
 Self-reported burnout0.8 (0.53, 1.15)
 Satisfied with job1 (0.71, 1.45)
 Intention to leave1.04 (0.65, 1.59)

Notes: complete cases were analyzed in separate models. Adjusted for occupation, age, race, gender, years of experience, office setting, length of work experience, work type, and location. Provider comanagement index score was dichotomized as a binary variable using the mean score 70. , , and .