SVP Classification Mobile Application-proof of Concept and Data Collected over a 16 Month Period of Time

Introduction, Objectives, and/or Purpose: The Symptoms-Varices-Pathophysiology (SVP) classification instrument was developed as a descriptive tool for patients with pelvic venous disorders. A joint project between the American Vein and Lymphatic Society and the American Venous Forum was to develop a mobile application (app) to facilitate the use of this instrument in clinical practice. The purpose of this study is to report on the preliminary data collected over the first sixteen months of the application activity.

Methods: The app was available on both iOS and Android platforms. Data collected and analyzed included patient age group, gender, specialty and county of individual entering data, as well as patient S (Symptom), V (Varices) and P (Pathophysiology) classification. The data was provided in a patient de-identified fashion and descriptive statistics were performed.

Results: 1283 entries were made in the mobile app from users in 62 different countries. Not all entries had complete data. The United States represented 52.6% of the entries in which the country of origin was entered, with the countries with the next most frequent entries being Brazil (5.4%), Mexico (3.6%), Canada (2.8%) and Spain (2.6%). Age groups were divided into deciles, with the distribution of ages shown in Figure 1. Of the reported specialties, the most prevalent were Interventional Radiology (34.6%), Vascular Surgery (34.2%), Phlebology (12.7%) and Vascular Medicine (8%). The patients entered were 88.8% female and 11.2% male. The patient ages were divided into deciles, and the distribution of ages is shown in Figure 1. There were multiple combinations of S, V, and P classifications reported. The frequency of reports of S and V classifications are shown in Table 1. The women patients were younger than the men (chi-square, p< 0.001,Figure 2), and there were differing patterns of S and V classifications by age and gender (chi-square, p< 0.001). There was a significant difference in symptoms by age group, with pelvic pain (S2) being more common in younger age groups, and leg symptoms in patients 50 and older (chi-square, p< 0.001, Figure 3)

Conclusion(s): This study shows the potential to utilize mobile apps for clinical applications and data collection. The data suggests that the female patients entered were younger than the males, and that pelvic pain was more frequent in the younger ages groups. For the SVP classification, further improvement to the data collection could be considered including parity and BMI. Limitations include missing data, as well as the ability to verify correct data entry.