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J Nepal Health Res Counc ; 20(1): 33-40, 2022 Jun 02.
Article in English | MEDLINE | ID: covidwho-1988985

ABSTRACT

BACKGROUND: The utilization of institutional delivery services is pivotal to improve maternal health and reducing maternal mortality amid childbirth. But COVID-19 pandemic is posturing considerable challenges to maintain essential maternal and newborn health services. So study aims to assess the factors associated with the utilization of institutional delivery during the COVID -19 pandemic. METHODS: Data was collected from the 116 mothers of Kalika Municipality, Chitwan. The total enumerative sampling technique was used to include mothers who delivered a baby during lockdown (March 21 to August 21, 2020). Collected data were analysed by using descriptive and inferential statistics like chi-square test, logistic regression analysis. RESULTS: Out of 116 mothers, 76.6% had their delivery in the health facilities. Logistic regression analysis showed several factors associated with utilization of institutional delivery such as ethnicity, respondents education status, distance to the nearest health facility, fear of traveling, fear to visit health facility (AOR= 4.923; 95% CI =1.475-16.432, p=0.001),perception on the risk of covid-19 to mother, and intrauterine transmission of COVID-19 (AOR= 19 5.472;95% CI 1.35-22.175;p= 0.017) was found to be statistically significant with the utilization of institutional delivery during COVID-19 pandemic. CONCLUSIONS: Several factors have been associated with the utilization of institutional delivery during pandemic. Women preferred not to seek healthcare due to the fear of being infected, lack of awareness, and misperception about COVID-19 and pregnancy. Therefore, the concerned authority should need to deliver a separate message to the pregnant women for a regular check-up and deliver a baby at a hospital.


Subject(s)
COVID-19 , Maternal Health Services , COVID-19/epidemiology , Communicable Disease Control , Cross-Sectional Studies , Delivery, Obstetric , Female , Health Facilities , Humans , Infant, Newborn , Logistic Models , Nepal/epidemiology , Pandemics , Pregnancy , Prenatal Care
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