TY - JOUR
T1 - Assessing the Readability of App Descriptions and Investigating its Role in the Choice of mHealth Apps
T2 - Retrospective and Prospective Analyses
AU - Su, Wu Chen
AU - Mehta, Khyati Y.
AU - Gill, Kirandeep
AU - Yeh, Peng
AU - Chih, Ming Yuan
AU - Wu, Danny T.Y.
N1 - Publisher Copyright:
©2021 AMIA - All rights reserved.
PY - 2021
Y1 - 2021
N2 - People with low health literacy are more likely to use mobile apps for health information. The choice of mHealth apps can affect health behaviors and outcomes. However, app descriptions may not be very readable to the target users, which can negatively impact app adoption and utilization. In this study, we assessed the readability of mHealth app descriptions and explored the relationship between description readability and other app metadata, as well as description writing styles. The results showed that app descriptions were at eleventh- to fifteenth-grade level, with only 6% of them meeting the readability recommendation (third- to seventh-grade level). The description readability played a vital role in predicting app installs when an app had no reviews. The content analysis showed copy-paste behaviors and identified two potential causes for low readability. More work is needed to improve the readability of app descriptions and optimize mHealth app adoption and utilization.
AB - People with low health literacy are more likely to use mobile apps for health information. The choice of mHealth apps can affect health behaviors and outcomes. However, app descriptions may not be very readable to the target users, which can negatively impact app adoption and utilization. In this study, we assessed the readability of mHealth app descriptions and explored the relationship between description readability and other app metadata, as well as description writing styles. The results showed that app descriptions were at eleventh- to fifteenth-grade level, with only 6% of them meeting the readability recommendation (third- to seventh-grade level). The description readability played a vital role in predicting app installs when an app had no reviews. The content analysis showed copy-paste behaviors and identified two potential causes for low readability. More work is needed to improve the readability of app descriptions and optimize mHealth app adoption and utilization.
UR - http://www.scopus.com/inward/record.url?scp=85126831789&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85126831789&partnerID=8YFLogxK
M3 - Article
C2 - 35308941
AN - SCOPUS:85126831789
SN - 1559-4076
VL - 2021
SP - 1139
EP - 1148
JO - AMIA ... Annual Symposium proceedings. AMIA Symposium
JF - AMIA ... Annual Symposium proceedings. AMIA Symposium
ER -