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Confounding in publications of observational intervention studies

Rolf H H Groenwold1, Arno W Hoes, Eelko Hak

  • 1Julius Center for Health Sciences and Primary Care, University Medical Center, Universiteitsweg 100, STR 6.118, 3584 GC, Utrecht, The Netherlands. r.h.h.groenwold@umcutrecht.nl

European Journal of Epidemiology
|May 8, 2007
PubMed

Insights

Most observational intervention studies fail to acknowledge confounding bias. A review of medical literature found only 9% of papers mentioned terms related to confounding, adjustment, or bias.

Area of Science:

  • Medical research methodology
  • Epidemiology
  • Biostatistics

Background:

  • Observational studies are crucial for intervention research.
  • Confounding bias can significantly distort findings in observational studies.
  • Assessing the acknowledgment of confounding is vital for evaluating study quality.

Purpose of the Study:

  • To determine the extent to which observational intervention studies published in peer-reviewed medical journals from 1985-2005 acknowledged confounding bias.
  • To quantify the proportion of studies mentioning terms indicative of confounding appreciation.

Main Methods:

  • Systematic literature search conducted in the Medline database.
  • Inclusion of peer-reviewed medical journal articles on observational intervention studies.
  • Analysis of study text for mentions of 'confounding', 'adjustment', or 'bias'.

Main Results:

  • A low proportion of studies demonstrated awareness of confounding bias.
  • Only 9% of the analyzed observational intervention studies mentioned relevant terms.
  • The period 1985-2005 showed limited explicit acknowledgment of confounding.

Conclusions:

  • There is a significant gap in the acknowledgment of confounding bias in published observational intervention studies.
  • Researchers may not be adequately addressing or reporting on confounding.
  • Improved reporting standards are needed to enhance the reliability of observational study findings.

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