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Accepted for/Published in: JMIR Formative Research

Date Submitted: Jun 13, 2017
Date Accepted: Dec 6, 2017
Date Submitted to PubMed: Jan 26, 2019
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

A Computer-Assisted Personal Interview App in Research Electronic Data Capture for Administering Time Trade-off Surveys (REDCap): Development and Pretest

Oremus M, Sharafoddini A, Morgano GP, Jin X, Xie F

A Computer-Assisted Personal Interview App in Research Electronic Data Capture for Administering Time Trade-off Surveys (REDCap): Development and Pretest

JMIR Form Res 2018;2(1):e3

DOI: 10.2196/formative.8202

PMID: 30684429

PMCID: 6334703

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

A Computer-Assisted Personal Interview App in Research Electronic Data Capture for Administering Time Trade-off Surveys (REDCap): Development and Pretest

  • Mark Oremus; 
  • Anis Sharafoddini; 
  • Gian Paolo Morgano; 
  • Xuejing Jin; 
  • Feng Xie

Background:

The time trade-off (TTO) task is a method of eliciting health utility scores, which range from 0 (equivalent to death) to 1 (equivalent to perfect health). These scores numerically represent a person’s health-related quality of life. Software apps exist to administer the TTO task; however, most of these apps are poorly documented and unavailable to researchers.

Objective:

To fill the void, we developed an online app to administer the TTO task for a research study that is examining general public proxy health-related quality of life estimates for persons with Alzheimer’s disease. This manuscript describes the development and pretest of the app.

Methods:

We used Research Electronic Data Capture (REDCap) to build the TTO app. The app’s modular structure and REDCap’s object-oriented environment facilitated development. After the TTO app was built, we recruited a purposive sample of 11 members of the general public to pretest its functionality and ease of use.

Results:

Feedback from the pretest group was positive. Minor modifications included clarity enhancements, such as rearranging some paragraph text into bullet points, labeling the app to delineate different question sections, and revising or deleting text. We also added a research question to enable the identification of respondents who know someone with Alzheimer’s disease.

Conclusions:

We developed an online app to administer the TTO task. Other researchers may access and customize the app for their own research purposes.


 Citation

Please cite as:

Oremus M, Sharafoddini A, Morgano GP, Jin X, Xie F

A Computer-Assisted Personal Interview App in Research Electronic Data Capture for Administering Time Trade-off Surveys (REDCap): Development and Pretest

JMIR Form Res 2018;2(1):e3

DOI: 10.2196/formative.8202

PMID: 30684429

PMCID: 6334703

Per the author's request the PDF is not available.