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1.
Int J Gynaecol Obstet ; 152(2): 242-248, 2021 Feb.
Article in English | MEDLINE | ID: covidwho-1125314

ABSTRACT

OBJECTIVE: To estimate utilization costs of spontaneous vaginal delivery (SVD) and cesarean delivery (CD) for pregnant women with coronavirus disease 2019 (COVID-19) at the largest teaching hospital in Lagos, the pandemic's epicenter in Nigeria. METHODS: We collected facility-based and household costs of all nine pregnant women with COVID-19 managed at the hospital. We compared their mean facility-based costs with those paid by pregnant women pre-COVID-19, identifying cost-drivers. We also estimated what would have been paid without subsidies, testing assumptions with a sensitivity analysis. RESULTS: Total utilization costs ranged from US $494 for SVD with mild COVID-19 to US $4553 for emergency CD with severe COVID-19. Though 32%-66% of facility-based cost were subsidized, costs of SVD and CD during the pandemic have doubled and tripled, respectively, compared with those paid pre-COVID-19. Of the facility-based costs, cost of personal protective equipment was the major cost-driver (50%). Oxygen was the major driver for women with severe COVID-19 (48%). Excluding treatment costs for COVID-19, mean facility-based costs were US $228 (SVD) and US $948 (CD). CONCLUSION: Despite cost exemptions and donations, utilization costs remain prohibitive. Regulation of personal protective equipment and medical oxygen supply chains and expansion of advocacy for health insurance enrollments are needed in order to minimize catastrophic health expenditure.


Subject(s)
COVID-19/economics , Maternal Health Services/economics , Pregnancy Complications, Infectious/economics , Adult , COVID-19/complications , Cesarean Section/economics , Delivery, Obstetric/economics , Female , Hospitals, Teaching , Humans , Nigeria , Parturition , Pregnancy , Pregnancy Complications, Infectious/virology , Young Adult
2.
Birth ; 48(2): 274-282, 2021 06.
Article in English | MEDLINE | ID: covidwho-1080923

ABSTRACT

BACKGROUND: COVID-19 caused significant disruptions to health systems globally; however, restricting the family presence during birth saw an increase in women considering community birth options. This study aimed to quantify the hospital resource savings that could occur if all low-risk women in Australia gave birth at home or in birth centers. METHODS: A whole-of-population linked administrative data set containing all women (n = 44 498) who gave birth in Queensland, Australia, between 01/07/2012 and 30/06/2015 was reweighted to represent all Australian women giving birth in 2017. A static microsimulation model of woman and infant health service resource use was created based on 2017 data. The model was comprised of a base model, representing "current" care, and a counterfactual model, representing hypothetical scenarios where all low-risk Australian women gave birth at home or in birth centers. RESULTS: If all low-risk women gave birth at home in 2017, cesarean rates would have reduced from 13.4% to 2.7%. Similarly, there would have been 860 fewer inpatient bed days and 10.1 fewer hours of women's intensive care unit time per 1000 births. If all women gave birth in birth centers, cesarean rates would have reduced to 6.7%. In addition, over 760 inpatient bed days would have been saved along with 5.6 hours of women's intensive care unit time per 1000 births. CONCLUSIONS: Significant health resource savings could occur by shifting low-risk births from hospitals to home birth and birth center services. Greater examination of Australian women's preferences for home birth and birth center birth models of care is needed.


Subject(s)
Birthing Centers , COVID-19 , Health Care Rationing , Home Childbirth , Adult , Australia/epidemiology , Birthing Centers/economics , Birthing Centers/statistics & numerical data , COVID-19/epidemiology , COVID-19/prevention & control , Cesarean Section/statistics & numerical data , Cost Savings/methods , Delivery, Obstetric/economics , Delivery, Obstetric/methods , Female , Health Care Rationing/methods , Health Care Rationing/statistics & numerical data , Home Childbirth/economics , Home Childbirth/statistics & numerical data , Humans , Infant, Newborn , Models, Theoretical , Needs Assessment , Pregnancy , SARS-CoV-2
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