Avatar Web-Based Self-Report Survey System Technology for Public Health Research: Technical Outcome Results and Lessons Learned

Authors

  • Craig Savel Information Technology, Population Council, New York, NY
  • Stan Mierzwa Population Council
  • Pamina M Gorbach Department of Epidemiology, University of California, Los Angeles (UCLA), CA
  • Samir Souidi Information Technology, Population Council, New York, NY
  • Michelle Lally Alpert Medical School of Brown University, Lifespan Hospital System, and VA Medical Center, Providence, RI
  • Gregory Zimet Indiana University School of Medicine, Indianapolis, IN

DOI:

https://doi.org/10.5210/ojphi.v8i2.6719

Abstract

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 can support 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. 

Author Biography

Stan Mierzwa, Population Council

Director, Information Technology

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Published

2016-08-17

How to Cite

Savel, C., Mierzwa, S., Gorbach, P. M., Souidi, S., Lally, M., & Zimet, G. (2016). Avatar Web-Based Self-Report Survey System Technology for Public Health Research: Technical Outcome Results and Lessons Learned. Online Journal of Public Health Informatics, 8(2). https://doi.org/10.5210/ojphi.v8i2.6719

Issue

Section

Original Articles