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Estimating the effects of COVID-19 on essential health services utilization in Uganda and Bangladesh using data from routine health information systems

Angeles, Gustavo ; Silverstein, Hannah ; Ahsan, Karar Zunaid ; Kibria, Mohammad Golam ; Rakib, Nibras Ar ; Escudero, Gabriela ; Singh, Kavita ; Mpiima, Jamiru ; Simmons, Elizabeth ; Weiss, William

Frontiers in public health, 2023-09, Vol.11, p.1129581-1129581 [Periódico revisado por pares]

Frontiers Media S.A

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  • Título:
    Estimating the effects of COVID-19 on essential health services utilization in Uganda and Bangladesh using data from routine health information systems
  • Autor: Angeles, Gustavo ; Silverstein, Hannah ; Ahsan, Karar Zunaid ; Kibria, Mohammad Golam ; Rakib, Nibras Ar ; Escudero, Gabriela ; Singh, Kavita ; Mpiima, Jamiru ; Simmons, Elizabeth ; Weiss, William
  • Assuntos: coronavirus disease 2019 (COVID-19) ; health services use ; maternal and child health ; Public Health ; routine health information system ; SARS-CoV-2 ; time series model
  • É parte de: Frontiers in public health, 2023-09, Vol.11, p.1129581-1129581
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
    content type line 23
    Edited by: Juan Eduardo Sosa-Hernández, Monterrey Institute of Technology and Higher Education (ITESM), Mexico
    Reviewed by: Pillaveetil Sathyadas Indu, Government Medical College, India; Dagna Oriana Constenla, GlaxoSmithKline, United States
  • Descrição: Background Since March 2020, the coronavirus disease 2019 (COVID-19) pandemic has been a major shock to health systems across the world. We examined national usage patterns for selected basic, essential health services, before and during the COVID-19 pandemic in Uganda and Bangladesh, to determine whether COVID-19 affected reporting of service utilization and the use of health services in each country. Methods We used routine health information system data since January 2017 to analyze reporting and service utilization patterns for a variety of health services. Using time series models to replicate pre-COVID-19 trajectories over time we estimated what levels would have been observed if COVID-19 had not occurred during the pandemic months, starting in March 2020. The difference between the observed and predicted levels is the COVID-19 effect on health services. Results The time trend models for Uganda and Bangladesh closely replicated the levels and trajectories of service utilization during the 38 months prior to the COVID-19 pandemic. Our results indicate that COVID-19 had severe effects across all services, particularly during the first months of the pandemic, but COVID-19 impacts on health services and subsequent recovery varied by service type. In general, recovery to expected levels was slow and incomplete across the most affected services. Conclusion Our analytical approach based on national information system data could be very useful as a form of surveillance for health services disruptions from any cause leading to rapid responses from health service managers and policymakers.
  • Editor: Frontiers Media S.A
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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