Look Who's Talking: Application of a Theory-Based Taxonomy to Patient-Clinician E-mail Messages

Patient-clinician communication between office visits may improve patient outcomes by increasing patients' information retention and offering opportunities for patient-centered communication. Secure electronic messaging offers one such communication modality, but evidence of associations between its use and patient outcomes is mixed. To date, no study has examined the relationship between message content and patient outcomes. Secure message content provides context around patients' requests and whether clinicians responded in ways that improve care and outcomes. This study evaluates the use of a theory-based taxonomy to classify patients' and clinicians' message content and describes characteristics associated with coded content. We coded message threads initiated in 2017 by 73 randomly selected patients with hypertension and/or diabetes. Multiple codes could be applied to each message. Chi-square analyses identified differences by patients' demographics and health condition. We analyzed 658 message threads composed of 1,751 clinician- and patient-generated messages, to which 2,055 taxonomic codes were assigned. Eighteen percent of patients' threads were unanswered. Most codes assigned to patient-generated messages were task-oriented (46%) or information seeking (26%) requests; 30% of clinician responses left those requests unfulfilled or unaddressed. Clinicians were more likely to recommend a patient be seen in the office based on patients' sex, age, and health condition. Furthermore, white patients were more likely to send, and receive from their clinicians, messages with praise and appreciation content compared with black patients. Further research is needed to better understand how and why these differences exist so that patient-clinician electronic messaging is optimized to improve patient outcomes.