Selection in Recruiting Patients via a Random Sample of Gynecologists

  • Ursula Kellhammer
Conference paper
Part of the Lecture Notes in Medical Informatics book series (LNMED, volume 11)

Summary

In 1977, a field study was started, in which randomly selected gynecologists should recruit five pairs of patients each, a pair consisting of a pilltaker and an age-matched control between 16 and 35 years. 51.9% of the physician sample contributed a total of 373 patient pairs. Each patient should get a medical examination and complete a questionnaire at the start and after one year. Complete information was received in 59.2% of all pairs. Adherence to the recruitment criteria was fairly close at the beginning. After one year 27.5% of the pairs were split up by a change of contraception. Two major features of the study design should therefore be newly assessed in the future: If possible, one should recruit individuals rather than pairs. Social data should be collected through a separate organization.

Keywords

Europe Stratification Smoke 

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References

  1. (1).
    Kellhammer U. A field survey of oral contraceptives with patient pairs out of gynecological practices (Pilot III). In: Kellhammer U, Tiberla K (Eds). Long-term studies on side effects of contraception - state and planning. Lecture Notes in Medical Informatics, vol 3, Springer, Berlin-Heidelberg-New York, 1978; 175–183Google Scholar
  2. (2).
    Kellhammer U. The Pilot-I Study: Analysis of drop-outs and some results of a pilltaking typology. In: Kellhamer U, Tiberla K (Eds). Long-term studies on side-effects of contraception - state and planning. Lecture Notes in Medical Informatics, vol 3, Springer, Berlin- Heidelberg-New York, 1978; 93–114Google Scholar
  3. (3).
    Kay CR. Oral Contraceptives and Health. An Interim Report from the Oral Contraception Study of the Royal College of General Practitioners, Pitman Medical Publishing, London, 1974Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1981

Authors and Affiliations

  • Ursula Kellhammer
    • 1
  1. 1.ISB-Institut für medizinische Informationsverarbeitung, Statistik und BiomathematikLudwig-Maximilians-UniversitätMünchenFederal Republic of Germany

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