‘Patterns’ of COVID-19 Coronavirus Infection in Pregnant Women in Physician Practice

Objectives: Evaluation of the Effectiveness of Developed Algorithms for Managing Pregnant Women and Assessing Severity Using the WHO ABCDE Approach During COVID-19 Among Practicing Physicians
Material and methods:
To evaluate the effectiveness of the algorithm for managing pregnant women and assessing severity using the WHO ABCDE approach during COVID-19, we analyzed 102 medical records of pregnant patients with COVID-19 who received treatment in infectious disease hospitals and perinatal centers in the city of Shymkent from January to April 2022.
Results: Diagnostic errors were made in 22.5% of the sample before the training on the developed algorithms. Following the training sessions, the error rate decreased by 7.8%. Physicians identified errors in the following diagnoses: influenza - 10.8% (11 cases), acute intestinal infections - 4.9% (5 cases), acute cerebrovascular accident, measles, and atypical pneumonia - 1.9% (2 cases each), and Kawasaki disease - 0.9% (1 case). After the training, the incidence of the diagnosis of "Influenza" decreased by 4.9% and "Acute intestinal infections" by 3%.
Our findings revealed that the percentage of diagnostic errors (underdiagnosis) significantly dropped from 41.2±6.9% (n=51) to 11.6%±4.9 (p<0.01) (n=43), representing a reduction of more than 3.6 times. The analysis of diagnostic errors related to the underdiagnosis of COVID-19 and the implementation of the algorithm for the management and severity assessment based on the WHO ABCDE approach led to a more than 3.6-fold decrease in cases of delayed diagnosis.
Conclusions: The analysis of diagnostic errors related to the underdiagnosis of COVID-19 and the implementation of the management and severity assessment algorithm based on the WHO ABCDE approach led to a more than 3.6-fold reduction in the number of delayed diagnoses.