The Science of Real-Time Data Capture: Self-Reports in Health Research
Abstract
The set of techniques known collectively as real-time data capture (RTDC) is becoming increasingly important in medical research. Based on the collection of data in people's typical environments, RTDC is primarily used with self-reported data, such as medical symptoms and psychological states. Now, its guiding principles and supporting technologies also provide a framework for scientists to monitor physiological information such as heart rate, blood pressure, and skin conductance. This volume gives the most complete view yet of the state of RTDC science and its potential for use across the health and behavioural sciences.
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Paper-and-pencil daily diaries were not very efficacious because of discomfort, low compliance, and low experimental control over backfilling.
“The first studies to use this approach adopted paper-and-pencil daily diaries, but the discomfort, low compliance, and low experimental control over backfilling made them not very efficacious [14].”
From Current state and future directions of technology-based ecological momentary assessment and intervention for major depressive disorder: a systematic review (2019) · cites this paper as [14]
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- Publisher
- Oxford University PressNew York, NY
- Published
- 2007-04-19
- OpenAlex
- W4388333893
- Cited by
- 298
- References
- 0
- Citations by year
- 2026: 16 · 2025: 16 · 2024: 17 · 2023: 17 · 2022: 16 · 2021: 16 · 2020: 21 · 2019: 20 · 2018: 11 · 2017: 25 · 2016: 25 · 2015: 17 · 2014: 15 · 2013: 10 · 2012: 8
- FWCI
- 9.24
- Type
- book
- Language
- en
- Open access
- closed
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Physical Sciences › Computer Science › Computer Science Applications › Mobile Crowdsensing and Crowdsourcing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Keywords
- real-time data acquisition, ecological momentary assessment, self-reported data, physiological monitoring, heart rate, blood pressure, skin conductance, clinical symptoms, psychological state, health sciences, behavioral science
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