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Symptom Assessment of Patients with Allergic Rhinitis Using an Allergen Exposure Chamber
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A computerized surveillance system for asthma.

Isabella Karakis1, Moshe Blumenfeld, Yaron Yegev

  • 1School of Public Health, Haifa University, Haifa, Israel.

International Journal of Health Care Quality Assurance
|September 24, 2011
PubMed
Summary
This summary is machine-generated.

This study demonstrates the feasibility of linking health databases to automatically monitor asthma patients. Such systems can improve healthcare service quality for chronic diseases.

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Area of Science:

  • Public Health
  • Health Informatics
  • Chronic Disease Management

Background:

  • Asthma is a chronic inflammatory airways disease with significant healthcare burdens.
  • Effective management requires robust patient monitoring systems.
  • Current methods may not fully capture the scope of asthma prevalence and treatment.

Purpose of the Study:

  • To demonstrate links between routinely used computerized databases.
  • To establish an automatic mechanism for monitoring asthma patients.
  • To assess the feasibility of a surveillance system for asthma.

Main Methods:

  • Retrospective analysis of adult subscribers (20-65 years) from a Southern Israel Health Maintenance Organization (HMO).
  • Data extracted from pharmacy, administrative, and primary care computerized medical files (2000-2004).
  • Cross-referencing databases to identify asthma patients based on medication and diagnosis records.

Main Results:

  • Identified 11,054 adults treated with beta2 agonists and steroids, presumed asthmatics.
  • Only 4,061 had an asthma diagnosis recorded in personal files.
  • Intersection of databases identified 2,569 individuals in both, indicating system feasibility.

Conclusions:

  • Computerized automatic surveillance systems for asthma monitoring are feasible.
  • Data quality variations present management challenges.
  • Similar systems can be adapted for monitoring other chronic diseases and ensuring service quality.