Article Text
Abstract
Introduction/Purpose The rise of social media utilization in medicine may influence patient’s perception of physicians to a degree not yet fully described. While recent studies within orthopedics and plastic surgery suggest that fellowship-trained physicians with a social media presence are associated with higher by patient ratings on physician rating websites, the patient perception of women practicing neurointervention has not been assessed systemically. Our goal is to identify these women and further elucidate the correlation between physician ratings given by patients and academic productivity, as well as across social media platforms.
Materials and Methods Utilizing a membership database provided by SNIS in March of 2023, a list of 59 women practicing neurointervention in the United States were reviewed. Publicly available data from social media platforms (Twitter, Linkedin, Instagram), physician rating websites (HealthGrades, Vitals) and markers of academic productivity, including H-Index (Google Scholar) and number of publications (Scopus) were collected. Linear regression was utilized to determine correlation across markers of academic productivity (H-index, publications), social media presence and physician rating scores (Healthgrades, Vitals).
Results A total of 59 female neurointerventionalists were identified based on SNIS membership data, with an average H-index of 13.2 ± 1.8. For physicians with available profiles, ratings averaged 4.37 ± 0.16 on HealthGrades (35 neurointerventionalists) and 4.4 ± 0.16 on Vitals (29 neurointerventionalists). The correlation between the number of documents published (Scopus) against HealthGrades and Vitals physician ratings were 0.27 (p = 0.13) and -0.02 (p = 0.92), respectively. Similarly, the correlation between H-index against HealthGrade and Vitals physician ratings were 0.00 (p = 0.98) and 0.06 (p =0.74), respectively. Social media presence did not have a significant correlation with positive physician ratings: the number of Twitter followers against HealthGrades or Vitals ratings had correlations of 0.07 (p=0.79) and 0.18 (p=0.50), respectively. Total number of LinkedIn connections had correlations of 0.12 (p=0.69) and 0.22 (p=0.26), for HealthGrades and Vitals ratings respectively. However, the number of social media followers did correlate to the total number of reviews given for a physician on HealthGrades: the correlation with the number of LinkedIn and Instagram followers were 0.80 (p < 0.001) and 0.60 (p < 0.04), respectively; and to a lesser extent on Vitals: correlation to number of LinkedIn and Instagram followers were 0.28 (p=0.14) and 0.40 (p =0.20) respectively.
Conclusion Markers of academic productivity, as measured by publications and H-index, for women practicing neurointervention do not correlate with physician rating website scores (HealthGrades, Vitals). Social media presence (Twitter, LinkedIn, Instagram) did not correlate with patient ratings. However, there was a correlation trend noted for the number of total reviews for a physician on a patient rating website and their total number of followers on LinkedIn and Twitter, suggesting there may be underlying factors that influence patients to rate their physicians, more so than academic pro
Disclosures Y. Satpathy: None. K. Malacon: None. M. Saripella: None. B. Meyer: None. S. Chen: None. J. Collard de Beaufort: None. G. Amin: None. J. Campos: None. S. Narayanan: 2; C; Cerenovus, MicroVention. J. Fifi: 6; C; Board of Society of NeuroInterventional Surgery.