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Comparing a Mobile Phone Automated System With a Paper and Email Data Collection System: Substudy Within a Randomized
Diana M Bond1, Jeremy Hammond2, Antonia W Shand3,4
1Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
JMIR Mhealth and Uhealth
|August 9, 2020
Summary
Mobile phone automated systems (MPAS) significantly improve response rates and treatment compliance in clinical research compared to traditional paper and email methods. This automated approach enhances data collection and research management effectiveness.
Area of Science:
- Clinical Research Methodology
- Digital Health Technologies
- Data Collection Systems
Background:
- Traditional data collection (paper, email) is being supplanted by mobile phone technology.
- Limited evidence exists on the impact of mobile phone automated research management systems on data collection and health outcomes.
Purpose of the Study:
- To compare a web-based mobile phone automated system (MPAS) with a traditional paper and email data collection (PEDC) system.
- To evaluate MPAS effectiveness in a cohort of breastfeeding women.
Main Methods:
- A substudy of a randomized controlled trial involving women who recently gave birth and intended to breastfeed.
- Quasi-randomized recruitment using either MPAS or PEDC systems.
- Assessment of data collection effectiveness, study outcomes, response rates, acceptability, and cost.
Main Results:
- No differences in clinical outcomes were observed between MPAS and PEDC groups.
- MPAS demonstrated significantly higher response rates at 8 weeks and 12 months (56% vs 37%).
- MPAS participants reported higher treatment compliance (70% vs 56%) and recommendation rates (95% vs 64%).
Conclusions:
- Mobile phone automated systems (MPAS) are effective and acceptable for clinical research.
- MPAS improves overall research management, treatment compliance, and methodological quality.
- MPAS enhances the validity and reliability of research findings.
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