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Skip search results from other journals and go to results- 13 Journal of Medical Internet Research
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For patient clinical and utilization data, descriptive analyses were conducted using R software (R Foundation for Statistical Computing), with continuous variables reported as medians (IQR) and categorical variables reported as percentages. Data were not normally distributed, so medians were used. Patient (online and postdischarge) and provider surveys were analyzed descriptively in Microsoft Excel, and the net promoter score was calculated [33].
JMIR Hum Factors 2022;9(2):e35091
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All analyses were conducted in the R statistical program using the ggpubr and MASS packages [29].
Interviews were analyzed using qualitative description, a paradigm that seeks to create an understanding of a phenomenon by accessing the meanings that participants ascribe to it [30,31]. Two coders (CS and MP) independently and inductively coded the first three interviews, after which they met to discuss the data, achieve coding alignment, and establish a codebook.
JMIR Form Res 2022;6(3):e27158
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Pearson correlations between the 2020:2019 visit ratio and percent of visits completed virtually showed a significant positive correlation only among physicians from the same-use group (R=0.35, P
Finally, we also calculated the Pearson correlation coefficient between the average 2020:2019 ratio per specialty and the percent virtual care used per specialty.
J Med Internet Res 2021;23(9):e29396
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Rural Telemedicine Use Before and During the COVID-19 Pandemic: Repeated Cross-sectional Study
J Med Internet Res 2021;23(4):e26960
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