Avatar Web-Based Self-Report Survey System Technology for Public Health Research: Technical Outcome Results and Lessons Learned.
This paper reports on a specific Web-based self-report data collection system that was developed for a public health research study in the United States. Our focus is on technical outcome results and lessons learned that may be useful to other projects requiring such a solution. The system was accessible from any device that had a browser that supported HTML5. Report findings include: which hardware devices, Web browsers, and operating systems were used; the rate of survey completion; and key considerations for employing Web-based surveys in a clinical trial setting.
Information Technology, Population Council, New York, NY.
Craig
C
Savel
Information Technology, Population Council, New York, NY.
Stan
S
Mierzwa
Information Technology, Population Council, New York, NY.
Pamina M
PM
Gorbach
Information Technology, Population Council, New York, NY.
Samir
S
Souidi
Information Technology, Population Council, New York, NY.
Michelle
M
Lally
Information Technology, Population Council, New York, NY.
Gregory
G
Zimet
Information Technology, Population Council, New York, NY.
Aids
A
Interventions
Avatars; CASI; Clinical Trials; Electronic Data Collection; HTML5; Self-Report Data Collection; Smartphones; Web Browsers; Web-Based Survey