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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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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 |
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author | Angeles, Gustavo Silverstein, Hannah Ahsan, Karar Zunaid Kibria, Mohammad Golam Rakib, Nibras Ar Escudero, Gabriela Singh, Kavita Mpiima, Jamiru Simmons, Elizabeth Weiss, William |
author_facet | Angeles, Gustavo Silverstein, Hannah Ahsan, Karar Zunaid Kibria, Mohammad Golam Rakib, Nibras Ar Escudero, Gabriela Singh, Kavita Mpiima, Jamiru Simmons, Elizabeth Weiss, William |
author_sort | Angeles, Gustavo |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10564984 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105649842023-10-12 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 Front Public Health Public Health 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. Frontiers Media S.A. 2023-09-27 /pmc/articles/PMC10564984/ /pubmed/37829090 http://dx.doi.org/10.3389/fpubh.2023.1129581 Text en Copyright © 2023 Angeles, Silverstein, Ahsan, Kibria, Rakib, Escudero, Singh, Mpiima, Simmons and Weiss. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Angeles, Gustavo Silverstein, Hannah Ahsan, Karar Zunaid Kibria, Mohammad Golam Rakib, Nibras Ar Escudero, Gabriela Singh, Kavita Mpiima, Jamiru Simmons, Elizabeth Weiss, William Estimating the effects of COVID-19 on essential health services utilization in Uganda and Bangladesh using data from routine health information systems |
title | Estimating the effects of COVID-19 on essential health services utilization in Uganda and Bangladesh using data from routine health information systems |
title_full | Estimating the effects of COVID-19 on essential health services utilization in Uganda and Bangladesh using data from routine health information systems |
title_fullStr | Estimating the effects of COVID-19 on essential health services utilization in Uganda and Bangladesh using data from routine health information systems |
title_full_unstemmed | Estimating the effects of COVID-19 on essential health services utilization in Uganda and Bangladesh using data from routine health information systems |
title_short | Estimating the effects of COVID-19 on essential health services utilization in Uganda and Bangladesh using data from routine health information systems |
title_sort | estimating the effects of covid-19 on essential health services utilization in uganda and bangladesh using data from routine health information systems |
topic | Public Health |
url | 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 |
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