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A Computer-Assisted Personal Interview App in Research Electronic Data Capture for Administering Time Trade-off Surveys (REDCap): Development and Pretest
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; howeve...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6334703/ https://www.ncbi.nlm.nih.gov/pubmed/30684429 http://dx.doi.org/10.2196/formative.8202 |
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author | Oremus, Mark Sharafoddini, Anis Morgano, Gian Paolo Jin, Xuejing Xie, Feng |
author_facet | Oremus, Mark Sharafoddini, Anis Morgano, Gian Paolo Jin, Xuejing Xie, Feng |
author_sort | Oremus, Mark |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6334703 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-63347032019-01-23 A Computer-Assisted Personal Interview App in Research Electronic Data Capture for Administering Time Trade-off Surveys (REDCap): Development and Pretest Oremus, Mark Sharafoddini, Anis Morgano, Gian Paolo Jin, Xuejing Xie, Feng JMIR Form Res Original Paper 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. JMIR Publications 2018-01-23 /pmc/articles/PMC6334703/ /pubmed/30684429 http://dx.doi.org/10.2196/formative.8202 Text en ©Mark Oremus, Anis Sharafoddini, Gian Paolo Morgano, Xuejing Jin, Feng Xie. Originally published in JMIR Formative Research (http://formative.jmir.org), 23.01.2018. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on http://formative.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Oremus, Mark Sharafoddini, Anis Morgano, Gian Paolo Jin, Xuejing Xie, Feng A Computer-Assisted Personal Interview App in Research Electronic Data Capture for Administering Time Trade-off Surveys (REDCap): Development and Pretest |
title | A Computer-Assisted Personal Interview App in Research Electronic Data Capture for Administering Time Trade-off Surveys (REDCap): Development and Pretest |
title_full | A Computer-Assisted Personal Interview App in Research Electronic Data Capture for Administering Time Trade-off Surveys (REDCap): Development and Pretest |
title_fullStr | A Computer-Assisted Personal Interview App in Research Electronic Data Capture for Administering Time Trade-off Surveys (REDCap): Development and Pretest |
title_full_unstemmed | A Computer-Assisted Personal Interview App in Research Electronic Data Capture for Administering Time Trade-off Surveys (REDCap): Development and Pretest |
title_short | A Computer-Assisted Personal Interview App in Research Electronic Data Capture for Administering Time Trade-off Surveys (REDCap): Development and Pretest |
title_sort | computer-assisted personal interview app in research electronic data capture for administering time trade-off surveys (redcap): development and pretest |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6334703/ https://www.ncbi.nlm.nih.gov/pubmed/30684429 http://dx.doi.org/10.2196/formative.8202 |
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