Systematic Review of Pelvic Anatomy iOS and Android Applications for Obstetricians and Gynecologists. Academic Article uri icon

Overview

abstract

  • IMPORTANCE: Resources for learning and enhancing knowledge in medicine, such as mobile applications (apps), have dramatically increased in recent years; however, there is lack of a valid source for identifying the best and most reliable mobile apps. OBJECTIVES: The goal of this study was to identify the highest scoring available pelvic anatomy apps based on quality, content, and functionality for obstetrician-gynecologists using a validated tool. STUDY DESIGN: This was a systematic evaluation of anatomy apps in the Apple iTunes (iOS) and Google Play (Android) stores. Exclusions included apps that had nonhuman, nonanatomy content, did not include female pelvic anatomy or were deemed inappropriate for postgraduate level. The validated Mobile App Rating Scale (MARS), a mobile-health (mHealth) app scoring system was used to evaluate apps based on both objective and subjective quality. The authors' MARS scores for each variable were compiled, and the objective, subjective, and overall scores were calculated. RESULTS: The search criteria yielded 2,432 apps: 952 (39%) Apple iTunes store and 1,480 (60.8%) Google Play Store apps. After applying the exclusion criteria, 35 (14 iOS, 8 Android, and 13 iOS/Android) apps were included for evaluation using the MARS system. "Complete Anatomy" app, available for both iOS and Android systems, obtained the highest objective, subjective, and overall MARS score. CONCLUSIONS: Although there are numerous anatomy apps available, only a few meet prespecified criteria for functionality, content, quality, and are appropriate for obstetrician-gynecologists. Using a validated scoring system, we present a scored list of female pelvic anatomy apps most appropriate for obstetrician-gynecologists.

publication date

  • April 28, 2022

Research

keywords

  • Mobile Applications
  • Physicians
  • Telemedicine

Identity

Scopus Document Identifier

  • 85132453867

Digital Object Identifier (DOI)

  • 10.1186/1472-6947-13-23

PubMed ID

  • 35536681

Additional Document Info

volume

  • 28

issue

  • 6