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Design Factors of Longitudinal Smartphone-based Health Surveys.
Sudip Vhaduri1, Christian Poellabauer1
1Computer Science and Engineering, University of Notre Dame, Notre Dame, IN USA.
Journal of Healthcare Informatics Research
|April 13, 2022
Summary
Longitudinal smartphone surveys enhance health data collection by automating responses over time. Design factors are key to improving user compliance and data quality in mobile health research.
Area of Science:
- Health Informatics
- Mobile Health (mHealth)
- Survey Methodology
Background:
- Phone-based surveys are vital for healthcare data collection, assessing patient satisfaction, behaviors, and wellness trends.
- Longitudinal data collection, capturing responses over extended periods, is crucial for accurately tracking health changes.
- Smartphones enable automated longitudinal data collection through features like push notifications for new surveys.
Purpose of the Study:
- To investigate design factors influencing user compliance in longitudinal smartphone-based health surveys.
- To identify elements that enhance the quality of data collected via mobile health surveys.
- To provide evidence-based design recommendations for effective mHealth data collection.
Main Methods:
- Analysis of data from 17 subjects over a 1-month period.
- Investigated various design factors impacting user adherence and data integrity.
- Utilized smartphone technology for automated, repeated survey administration.
Main Results:
- Identified key design factors that significantly impact user compliance.
- Demonstrated a correlation between specific design elements and improved data quality.
- Established the feasibility of automated longitudinal data collection via smartphones.
Conclusions:
- Optimizing design factors is essential for successful longitudinal smartphone health surveys.
- Automated mobile data collection strategies can enhance the efficiency and reliability of health research.
- Recommendations are provided to improve user engagement and data accuracy in mHealth studies.
Keywords:
Completion ratioCompletion timeData collectionElectronic diaryExperience samplingHealth and wellnessPhone surveysResponse delayResponse ratioMore Related Videos
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