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Related Experiment Videos

The use of a real-time computer diary for data acquisition and processing.

C B Taylor1, L Fried, J Kenardy

  • 1Department of Psychiatry and Behavioural Sciences, Stanford University School of Medicine, CA 94305-5490.

Behaviour Research and Therapy
|January 1, 1990
PubMed
Summary

Programmable handheld computers effectively collected hourly and panic attack data from 20 panic disorder patients over 7 days. This method proved well-accepted and cost-effective for behavioral research data management.

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Area of Science:

  • Psychiatry and Behavioral Science
  • Clinical Psychology
  • Digital Health

Background:

  • Traditional self-report data collection in behavioral research often relies on manual methods like diaries.
  • These methods can be subject to recall bias and compliance issues.
  • Advancements in technology offer potential for more efficient and accurate data capture.

Purpose of the Study:

  • To evaluate the utility of a programmable handheld computer for collecting detailed self-report data in individuals with panic disorder.
  • To assess the feasibility, acceptance, and cost-effectiveness of this digital data collection method.
  • To compare digital data collection with traditional diary methods in a clinical setting.

Main Methods:

  • A programmable handheld computer was utilized to collect data from 20 subjects diagnosed with panic disorder over a 7-day period.

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  • Data collection included hourly self-ratings and event-generated reports during panic attacks.
  • Subjects responded to a series of 19 or more questions at specified intervals or upon experiencing a panic attack.
  • Main Results:

    • Subjects achieved an 88% completion rate for all hourly ratings, with individual completion rates ranging from 64% to 98%.
    • The handheld computer system was well-received and accepted by the study participants.
    • The system demonstrated cost-effectiveness in both data collection and subsequent management.

    Conclusions:

    • Programmable handheld computers represent a viable and efficient tool for collecting intensive, real-time self-report data in behavioral research.
    • This technology offers a well-accepted and cost-effective alternative to traditional data collection methods for studies involving conditions like panic disorder.
    • The high completion rates suggest that digital data collection can improve data quality and compliance in clinical research settings.