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Related Experiment Videos

Computerized questionnaires and the quality of survey data.

Brett Hanscom1, Jon D Lurie, Karen Homa

  • 1Dartmouth Medical School, Hanover, New Hampshire, USA. Brett.Hanscom@Dartmouth.Edu

Spine
|August 27, 2002
PubMed
Summary

Computerized surveys significantly reduce missing data and improve internal consistency for spine patients compared to paper surveys. This suggests digital tools enhance data quality and potentially the validity of health assessments.

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Area of Science:

  • Spine Patient Health Data Collection
  • Health Survey Methodology
  • Digital Health Records

Background:

  • Computerized patient surveys offer advantages over paper surveys.
  • Data quality improvements from computerized surveys are assumed but not quantitatively compared.
  • Previous research highlights benefits of digital over paper-based health surveys.

Purpose of the Study:

  • To compare missing response rates between computerized and paper surveys.
  • To compare internal consistency of survey data collected via digital vs. paper methods.
  • To evaluate data quality in spine patient health assessments using different survey formats.

Main Methods:

  • Retrospective data quality analysis of spine patient surveys.
  • Comparison of missing response rates and Response Consistency Index (RCI) between survey types.

Related Experiment Videos

  • Utilized MOS 36-Item Short-Form Health Survey (SF-36) and Oswestry Low Back Pain Disability Questionnaire data.

    • Main Results:

    • Computer surveys showed approximately half the missing response rate of paper surveys for both SF-36 and Oswestry questionnaires.
    • Completely filled surveys were higher with computer administration (84-85%) versus paper (68-77%).
    • Computer-collected SF-36 data demonstrated superior internal consistency (RCI 0.12 vs. 0.16).

    Conclusions:

    • Computerized survey systems yield superior response rates and internal consistency.
    • Digital survey administration enhances data quality for spine patient health measures.
    • Improved data quality may enhance the validity of commonly used health assessment instruments.