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[ASSESSMENT OF NOSOLOGICAL STRUCTURE ASSOCIATED WITH ANEMIC SYNDROME].

L I Letnikova1, A V Budnevsky2, A A Natarov2

  • 1Department of Public Health, Communications and Expert Activity of Minzdrav of Russia, 127994, Moscow, Russia.

Problemy Sotsial'Noi Gigieny, Zdravookhraneniia I Istorii Meditsiny
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Anemia in outpatients with chronic diseases is often underdiagnosed. Improved patient monitoring systems are crucial for early anemia detection and better health outcomes.

Keywords:
anemic syndromecomputer registerprimary health care

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Area of Science:

  • Internal Medicine
  • Public Health
  • Medical Informatics

Context:

  • Anemia poses a significant risk for patients with chronic somatic diseases, particularly cardiovascular and oncological conditions, in primary healthcare settings.
  • Accurate prevalence data is essential for effective management, yet current registration methods may underestimate anemia's true extent.
  • This study addresses the challenge of identifying and managing anemia within the outpatient primary care system.

Purpose:

  • To analyze the management of anemic patients in primary care using a novel computerized patient monitoring system.
  • To compare anemia prevalence identified through standard medical records versus a specialized computer register adhering to WHO criteria.
  • To highlight the underdiagnosis of anemia and advocate for improved early detection strategies.

Summary:

  • A study of 1498 outpatients (aged 18-80) utilized a custom computer program, "Monitoring system for patients with anemic syndrome," for medical record analysis.
  • Anemia was recorded in 13.89% of patients via standard records but identified in 33.38% using the WHO criteria with the computer register.
  • This significant discrepancy underscores the underdiagnosis of anemia in outpatient settings.

Impact:

  • The findings reveal a substantial underdiagnosis of anemia, suggesting current methods fail to capture the full scope of the condition.
  • Implementing advanced monitoring systems can significantly improve the early identification of anemic syndrome in primary care.
  • Healthcare organizers must prioritize early anemia detection to mitigate risks associated with chronic diseases and improve patient outcomes.