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Related Experiment Videos

Interviewer variability - quality aspects in a case-control study.

Kerstin J Blomgren1, Anders Sundström, Gunnar Steineck

  • 1The Department of Laboratory Medicine, Division of Clinical Pharmacology, Karolinska Institutet at Karolinska University Hospital, Huddinge, Stockholm, Sweden. kerstin.jorsater-blomgren@mdh.se

European Journal of Epidemiology
|May 11, 2006
PubMed
Summary

Interviewer variability significantly impacts case-control study reliability. Implementing robust quality control is crucial for accurate data collection and minimizing bias in epidemiological research.

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Area of Science:

  • Epidemiology
  • Biostatistics

Background:

  • Case-control studies are vital for identifying disease risk factors.
  • Ensuring data quality and minimizing bias are paramount for study reliability.

Purpose of the Study:

  • To detail quality assurance and control procedures in a case-control study.
  • To assess the impact of interviewer variability on data accuracy.

Main Methods:

  • Collected data from medical records and telephone interviews for 462 cases and 1781 controls.
  • Implemented interviewer training, data validity checks, classification tests, and expert validation.
  • Analyzed interviewer performance, focusing on data capture rates and coding accuracy.

Main Results:

  • Significant variations in interviewers' data collection efficiency and accuracy were observed.

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  • One interviewer deviated substantially, necessitating data exclusion.
  • Data for controls required more corrections and supplementation than for cases, with higher erroneous coding rates.

    • Conclusions:

    • Interviewer variability is a significant source of potential bias in case-control studies.
    • Rigorous quality control systems, including coding practice oversight, are essential.
    • Standardized interviewer training and performance monitoring are critical for reliable epidemiological research.