Utilizing a novel unified healthcare model to compare practice patterns between telemedicine and in-person visits

Author:

Norden Justin G1,Wang Jonathan X1ORCID,Desai Sumbul A1,Cheung Lauren1

Affiliation:

1. Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA

Abstract

Objective Telemedicine practice has been shown to vary from clinical guidelines. Variations in practice patterns may be caused by disruptions in the continuity of care between traditional and telemedicine providers. This study compares virtual and in-person visits in Stanford’s ClickWell Care (CWC) – where patients see the same provider for both visit modalities. Methods Clinical data for two years of patient encounters at CWC from January 2015–2017 (5772 visits) were obtained through Stanford STRIDE. For the 20 most common visit categories, including 17 specific diagnoses, we compared the frequency of prescriptions, labs, procedures, and images ordered, as well as rates of repeat visits. Results For the 17 specific diagnoses, there are no differences in labs ordered. Two diagnoses show differences in images ordered, and four differences in prescriptions. Overall, there are more labs (0.16 virtual, 0.33 in-person p < 0.0001) and images ordered (0.07 virtual, 0.16 in-person, p < 0.0001) for in-person visits – due mainly to general medical exam visits. Repeat visits were more likely after in-person visits (19% virtual, 38% in-person, p < 0.0001), 10 out of 17 specific diagnoses showed differences in visit frequency between visit modalities. Visits for both anxiety (5.3x, p < 0.0001) and depression (5.1x, p < 0.0001) were much more frequent in the virtual setting. Conclusions Prescriptions, labs, and images ordered were similar between in-person and virtual visits for most diagnoses. Overall however, for in-person visits we find increased orders for labs and images, primarily from general medical exams. Finally, for anxiety and depression patients show clear preferences for virtual visits.

Funder

Stanford MedScholars Research Fellowship

Stanford Spectrum Learning Health Care Innovation Challenge Grant

Publisher

SAGE Publications

Subject

Health Information Management,Computer Science Applications,Health Informatics,Health Policy

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