This paper is in the following e-collection/theme issue:

mHealth for Data Collection and Research (955) Research Instruments, Questionnaires, and Tools (576) Automobile and Road Safety (16) mHealth for Screening (213) Accident and Injury Prevention (42) Tools and Questionnaires in Human Factors Evaluation (51) Diagnostic Tools in Mental Health (242) Development and Evaluation of Research Methods, Instruments and Tools (481)

Published on in Vol 9, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25310, first published .
Development of an Android-Based Self-Report Assessment for Elderly Driving Risk (SAFE-DR) App: Mixed Methods Study

Development of an Android-Based Self-Report Assessment for Elderly Driving Risk (SAFE-DR) App: Mixed Methods Study

Development of an Android-Based Self-Report Assessment for Elderly Driving Risk (SAFE-DR) App: Mixed Methods Study

Authors of this article:

Ho Sung Hwang1 Author Orcid Image ;   Seong-Youl Choi2 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Peterson C, Leslie A, Flannagan C, Nelson T. On the road to retirement: Predicting nighttime driving difficulty and cessation using self-reported health factors. Journal of Transport & Health 2024;34:101724 View