Large Medical Databases, Population-Based Research, and Patient Confidentiality

OBJECTIVE: This article is a discussion of the use of large clinical databases in population-based research on psychiatric disorders. METHOD: The authors review uses of large clinical databases in research on the etiology, impact, and treatment of psychiatric disorders. They also describe existing p...

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Veröffentlicht in:The American journal of psychiatry 2000-11, Vol.157 (11), p.1731-1737
Hauptverfasser: Simon, Gregory E., Unützer, Jürgen, Young, Barbara E., Pincus, Harold Alan
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Sprache:eng
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Zusammenfassung:OBJECTIVE: This article is a discussion of the use of large clinical databases in population-based research on psychiatric disorders. METHOD: The authors review uses of large clinical databases in research on the etiology, impact, and treatment of psychiatric disorders. They also describe existing privacy safeguards applicable to use of medical records data in research. RESULTS: The growth of large medical databases has prompted increasing concern about the confidentiality of patient records. Efforts to restrict access to computerized medical data, however, may preclude use of such data in important and legitimate research. Prior research using large medical databases has made important contributions across a broad range of topics, including epidemiology, genetics, treatment effectiveness, and health policy. Continued population-based research will be essential in order to preserve the accessibility and quality of treatment for people with psychiatric disorders. CONCLUSIONS: Public domain research should be distinguished from proprietary or commercial uses of health information, and existing privacy safeguards should be vigorously applied. In our efforts to protect patient privacy, however, we should take care not to endorse or reinforce prejudices against psychiatric treatment and people who suffer from psychiatric disorders. Neither should we ignore important opportunities to improve quality of care and influence public policy through population-based research.
ISSN:0002-953X
1535-7228
DOI:10.1176/appi.ajp.157.11.1731