Methodological Insights on Recruitment and Retention From a Remote Randomized Controlled Trial Examining the Effectiveness of an Alcohol Reduction App: Descriptive Analysis Study.
Melissa OldhamLarisa-Maria DinaGemma LoebenbergMatt FieldMatthew HickmanSusan MichieJamie BrownClaire GarnettPublished in: JMIR formative research (2024)
For remote RCTs, researchers could benefit from using a range of recruitment methods and cost-targeted approaches to achieve demographic diversity. Automated emails with substantial financial incentives for prompt completion can achieve good follow-up rates, and sequential, offline follow-up options, such as phone calls and postal surveys, can further increase follow-up rates but are comparatively expensive. We also make broader recommendations focused on striking the right balance when designing remote RCTs. Careful planning, ongoing maintenance, and dynamic decision-making are required throughout a trial to balance the competing demands of participation among those eligible, deceptive participation among those who are not eligible, and ensuring no postrandomization bias is introduced by data-checking protocols.
Keyphrases
- randomized controlled trial
- study protocol
- decision making
- physical activity
- cross sectional
- systematic review
- machine learning
- clinical trial
- deep learning
- cancer therapy
- big data
- phase iii
- phase ii
- smoking cessation
- healthcare
- hepatitis c virus
- open label
- human immunodeficiency virus
- artificial intelligence
- antiretroviral therapy
- health insurance
- childhood cancer