Big data analysis on medical services in coronary heart disease for outpatient care quality management and assessment of the risk of the adverse outcomes

Objective. To determine the significance of big data analysis on medical services in coronary heart disease (CHD) for outpatient care quality management and assessment of the risk of the adverse outcomes. Material and methods. In 2016, data were taken from the database of medical services of the regional compulsory medical insurance fund of the Orenburg region on 329,349 patients, among them 34,168 patients had stable angina and 295,181 had no CHD. In 2017, the proportion of patients with myocardial infarction (MI) in these groups was determined, and the probability of the MI depending on age and the presence of angina was calculated. In 2017 and 2019, in the group of patients with CHD we estab lished and compared the age differentiation of the probability of MI and hospitalizations, referrals to outpatient clinics, and ambulances. Based on the analysis results, the effectiveness of the developed technology for information management of outpatient care quality implemented in the Orenburg region in 2018 was assessed. Results. Patients of young and mature age with stable angina have lower adherence to outpatient visits than elderly patients and, consequently, a higher MI risk. They are more likely to go to the ER and to be admitted to the hospital for CHD. The patients without CHD have the highest MI risk in the elderly/older age and the lowest in the younger. Among patients of mature age and elderly ones with CHD over 2017—2019, the MI risk decreased significantly, and the proportion of patients seeking outpatient care increased from 53.5% to 76.7% and from 73.1% to 84.9%, respectively (p<0.01). Conclusion. Information management of outpatient care quality for CHD based on the analysis of big data on medical services increases the adherence of patients with CHD to outpatient visits and decreases the MI risk, thus demonstrating the effectiveness of this technology. © 2021, Media Sphera Publishing Group. All rights reserved.

Authors
Nazarov A.M.1 , Tolpygina S.N.2 , Kicha D.I. 3 , Goloshchapov-Aksenov R.S. 3
Publisher
Media Sphera
Number of issue
11
Language
Russian
Pages
21-27
Status
Published
Volume
24
Year
2021
Organizations
  • 1 The Orenburg State Medical University, Orenburg, Russian Federation
  • 2 National Medical Research Center for Therapy and Preventive Medicine, Moscow, Russian Federation
  • 3 RUDN University, Moscow, Russian Federation
Keywords
CHD; Electronic big data; Myocardial infarction
Date of creation
06.07.2022
Date of change
06.07.2022
Short link
https://repository.rudn.ru/en/records/article/record/84733/
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