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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

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...

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Detalles Bibliográficos
Autores principales: Angeles, Gustavo, Silverstein, Hannah, Ahsan, Karar Zunaid, Kibria, Mohammad Golam, Rakib, Nibras Ar, Escudero, Gabriela, Singh, Kavita, Mpiima, Jamiru, Simmons, Elizabeth, Weiss, William
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10564984/
https://www.ncbi.nlm.nih.gov/pubmed/37829090
http://dx.doi.org/10.3389/fpubh.2023.1129581
Descripción
Sumario: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.