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Objective system for interviewer performance evaluation for use in epidemiologic studies

S Edwards1, M L Slattery, M Mori

  • 1Department of Family and Preventive Medicine, University of Utah School of Medicine, Salt Lake City.

American Journal of Epidemiology
|December 1, 1994
PubMed
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Implementing a quality control system for interviewer performance in epidemiologic studies is crucial. This system helps minimize interviewer variability, ensuring more accurate data collection and reliable study results.

Area of Science:

  • Epidemiologic research
  • Public health methodology
  • Social sciences research methods

Background:

  • Interviewer variability can introduce bias in epidemiologic studies.
  • Objective quality control systems are needed to assess and mitigate this variability.
  • Previous studies highlight the potential impact of interviewers on data quality.

Purpose of the Study:

  • To present an objective system for evaluating interviewer performance in epidemiologic studies.
  • To quantify the impact of interviewer variability on study power and the detection of disease associations.
  • To emphasize the importance of continuous quality control in research.

Main Methods:

  • Audio-taping of all study interviews.
  • Random sampling and coding of interviews based on interviewer behaviors (e.g., question adherence, probe usage).

Related Experiment Videos

  • Data analysis from a large case-control study of colon cancer and simulations to estimate effects of variability.

    • Main Results:

    • 94.2% of questions were asked uniformly across interviewers.
    • 89.5% of probing behaviors were appropriate.
    • Questions requiring complex interviewer actions showed greater variability, impacting response consistency.

    Conclusions:

    • Interviewer variability can significantly reduce study power (from 84% to 56%) and bias results (odds ratios from 1.8 to 1.3).
    • A continuous quality control program is essential for maintaining data integrity in epidemiologic research.
    • Findings inform study design and interpretation to account for potential interviewer effects.