ArticleJMIR formative research2018
A Computer-Assisted Personal Interview App in Research Electronic Data Capture for Administering Time Trade-off Surveys (REDCap): Development and Pretest.
Article in JMIR formative research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT06821035 (Teaching Youth & Families Self-Regulation Skills to Disrupt the Impact of Adverse Childhood Experiences), which is not on this map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Teaching Youth & Families Self-Regulation Skills to Disrupt the Impact of Adverse Childhood Experiences: Preventing Substance Use in Adversity- Impacted Youth
Who cites it
4 citing papers in PubMed.
- Cancer patients' willingness to trade time for health: factors that affect their decision.BMC public health · 2025Article
- Presentation and Outcomes of Patients With Preoperative Critical Illness Undergoing Cardiac Surgery.JACC. Advances · 2023Article
- Time for Tele-TTO? Lessons Learned From Digital Interviewer-Assisted Time Trade-Off Data Collection.The patient · 2021Article
- Automated Tool for Health Utility Assessments: The Gambler II.MDM policy & practiceArticle
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe 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.
objectiveTo 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.
methodsWe 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.
resultsFeedback 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.
conclusionsWe developed an online app to administer the TTO task. Other researchers may access and customize the app for their own research purposes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.