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Related Experiment Videos

Selection of control groups by using a commercial database and random digit dialing.

S H Olson1, L Mignone, S Harlap

  • 1Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY 10021, USA. olsons@mskcc.org

American Journal of Epidemiology
|September 21, 2000
PubMed
Summary

Recruiting controls for hospital-based studies is difficult. A commercial database offered similar socioeconomic factors to cases at lower cost than random digit dialing, but response rates were comparable.

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Area of Science:

  • Epidemiology
  • Public Health
  • Biostatistics

Background:

  • Establishing appropriate control groups is crucial for hospital-based case-control studies.
  • Specialized hospitals present unique challenges in recruiting representative control populations.
  • Traditional recruitment methods like random digit dialing can be costly and time-consuming.

Purpose of the Study:

  • To compare the effectiveness of commercial database recruitment versus random digit dialing for control selection.
  • To assess the similarity of socioeconomic and demographic factors between controls and cases.
  • To evaluate the cost-effectiveness and response rates of different control recruitment strategies.

Main Methods:

  • A hospital-based case-control study of ovarian cancer was conducted in the New York metropolitan area (1997-1998).

Related Experiment Videos

  • Controls were recruited using a commercial mailing list (n=82) and random digit dialing (n=90).
  • Participants were clustered by lifestyle based on zip+4 postal codes for sampling.

    • Main Results:

    • Commercial database controls were similar to cases in age, race, education, and income.
    • Both control groups were similar to each other and differed from cases in oral contraceptive use, nulliparity, and religion.
    • Response rates were comparable between the two recruitment methods; the mailing list only included 28% of cases.

    Conclusions:

    • Commercial databases can provide a cost-effective alternative for recruiting controls with similar socioeconomic profiles to hospital-based cases.
    • While socioeconomic factors may align, commercial lists may not fully represent the case population.
    • Random digit dialing and commercial databases yielded similar response rates in this ovarian cancer study.