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Characteristics and Scoring Model of COVID-19 Severity Predictor in Obstetric and Gynecology Doctors in Indonesia
Author(s) -
Sutrisno Sutrisno,
Wening Hapsari
Publication year - 2022
Publication title -
fertility and reproduction
Language(s) - English
Resource type - Journals
eISSN - 2661-3182
pISSN - 2661-3174
DOI - 10.1142/s2661318222500025
Subject(s) - receiver operating characteristic , medicine , covid-19 , case fatality rate , gold standard (test) , cutoff , obstetrics and gynaecology , epidemiology , pediatrics , demography , family medicine , pregnancy , disease , sociology , physics , quantum mechanics , biology , infectious disease (medical specialty) , genetics
Background: Obstetrician and gynecologist are one of the contributors in patient care who are susceptible to contracting coronavirus-19 infection. Emergency measures for maternal field are high, while gold standard examination for COVID-19 takes long time with false negative rate. The case fatality rate of COVID-19 among health workers in Indonesia is reported to be high. We want to know epidemiological, clinical, and occupational characteristics of various degrees of COVID-19 severity and create scoring model to predict COVID-19 severity in ob/gyn doctors in Indonesia. Method: This is a descriptive analytic study using a cross-sectional approach. Consecutive sampling was taken from ob/gyn doctors infected with COVID-19 and analyses used were Chi-Square and Mann-Whitney U tests. A scoring model is created and using receiver operating characteristic (ROC) curves, to determine the predictive ability of the scoring model and the cutoff value to COVID-19 severity, then tested for sensitivity and specificity. Result: The mean age of the respondents was 38.2 ± 9.8 and 48.7% were male. Sixty-one percent respondents experienced mild symptoms, infected while on duty (46.1%), and 59% had nuclear family member infected with COVID-19. Age group ([Formula: see text] = 0.000), number of infection ([Formula: see text] = 0.000), vaccination status ([Formula: see text] = 0.010), comorbidities ([Formula: see text] = 0.023), and working hours ([Formula: see text] = 0.002) were significantly different on the COVID-19 severity. Area-under-curve of scoring model was 75.2% and 93.4%. The cutoff value was 10.5 points for between asymptomatic and mild degree (sensitivity 54.2% and specificity 77.8%) and 12.5 points between mild and moderate degree (sensitivity 83.3% and specificity 95.8%) respectively. Conclusion:The developed scoring model can facilitate prediction of COVID-19 severity in ob/gyn doctors, with asymptomatic (score of 12.5 points).

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