DADOS-Survey: An open-source application for CHERRIES-compliant Web surveys

Anand Shah, Danny O. Jacobs, Henrique Martins, Matthew Harker, Andreia Menezes, Mariana McCready, Ricardo Pietrobon

Research output: Contribution to journalReview articlepeer-review

19 Scopus citations

Abstract

Background: The Internet has been increasingly utilized in biomedical research. From online searching for literature to data sharing, the Internet has emerged as a primary means of research for many physicians and scientists. As a result, Web-based surveys have been employed as an alternative to traditional, paper-based surveys. We describe DADOS-Survey, an open-source Web-survey application developed at our institution that, to the best of our knowledge, is the first to be compliant with the Checklist for Reporting Results of Internet E-Surveys (CHERRIES). DADOS-Survey was designed with usability as a priority, allowing investigators to design and execute their own studies with minimal technical difficulties in doing so. Results: To date, DADOS-Survey has been successfully implemented in five Institutional Review Board-approved studies conducted by various departments within our academic center. Each of these studies employed a Web-survey design as their primary methodology. Our initial experience indicates that DADOS-Survey has been used with relative ease by each of the investigators and survey recipients. This has been further demonstrated through formal and field usability testing, during which time suggestions for improvement were incorporated into the software design. Conclusion: DADOS-Survey has the potential to have an important role in the future direction of Web-survey administration in biomedical research. This CHERRIES-compliant application is tailored to the emerging requirements of quality data collection in medicine.

Original languageEnglish (US)
Article number34
JournalBMC Medical Informatics and Decision Making
Volume6
DOIs
StatePublished - Sep 15 2006
Externally publishedYes

ASJC Scopus subject areas

  • Health Policy
  • Health Informatics

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