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Impact of intensified tuberculosis case finding at health facilities on case notifications in Cameroon: A controlled interrupted time series analysis

There is a large gap between the number of people who develop tuberculosis (TB) and those who are diagnosed, treated and notified, with only an estimated 71% of people with TB notified globally in 2019. Implementing better TB case finding strategies is necessary to close this gap. In Cameroon, 1,597...

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Autores principales: Adamou Mana, Zourriyah, Beaudou, Chrysal Ngouateu, Hilaire, Kamga Fotue Jean, Konso, Joceline, Ndahbove, Carole, Waindim, Yvonne, Ganava, Maurice, Malama, Toussaint, Matip, Christian, Meoto, Paul, Wandji, Irene Adeline Goupeyou, Fundoh, Mercy, Mbuli, Cyrille, Comfort, Vuchas, Teyim, Pride, Alba, Sandra, Creswell, Jacob, Mbassa, Vincent, Sander, Melissa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021155/
https://www.ncbi.nlm.nih.gov/pubmed/36962183
http://dx.doi.org/10.1371/journal.pgph.0000301
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author Adamou Mana, Zourriyah
Beaudou, Chrysal Ngouateu
Hilaire, Kamga Fotue Jean
Konso, Joceline
Ndahbove, Carole
Waindim, Yvonne
Ganava, Maurice
Malama, Toussaint
Matip, Christian
Meoto, Paul
Wandji, Irene Adeline Goupeyou
Fundoh, Mercy
Mbuli, Cyrille
Comfort, Vuchas
Teyim, Pride
Alba, Sandra
Creswell, Jacob
Mbassa, Vincent
Sander, Melissa
author_facet Adamou Mana, Zourriyah
Beaudou, Chrysal Ngouateu
Hilaire, Kamga Fotue Jean
Konso, Joceline
Ndahbove, Carole
Waindim, Yvonne
Ganava, Maurice
Malama, Toussaint
Matip, Christian
Meoto, Paul
Wandji, Irene Adeline Goupeyou
Fundoh, Mercy
Mbuli, Cyrille
Comfort, Vuchas
Teyim, Pride
Alba, Sandra
Creswell, Jacob
Mbassa, Vincent
Sander, Melissa
author_sort Adamou Mana, Zourriyah
collection PubMed
description There is a large gap between the number of people who develop tuberculosis (TB) and those who are diagnosed, treated and notified, with only an estimated 71% of people with TB notified globally in 2019. Implementing better TB case finding strategies is necessary to close this gap. In Cameroon, 1,597 healthcare workers at 725 health facilities were trained and engaged to intensively screen and test people for TB, then follow-up to link people to appropriate care. Primary care centers were linked to TB testing through a locally-tailored specimen referral network. This intervention was implemented across 6 regions of the country, with a population of 16 million people, while the remaining 4 regions in the country, with 7.3 million people, served as a control area. Controlled interrupted time series analyses were used to compare routinely-collected programmatic TB case notification rates in the intervention versus control area for 12 quarters prior to (2016–2018) and for 8 quarters after the start of the intervention (2019–2020). In 2019–2020, a total of 167,508 people were tested for TB at intervention sites, including 52,980 people attending primary care facilities that did not previously provide organized TB services. The number of people tested for TB increased by 45% during the intervention as compared to prior to the intervention. The controlled interrupted time series analyses showed that after two years of the intervention, the all-forms TB case notification rate in the intervention population increased by 9% (ratio of case notification rate ratios = 1.09, 95% CI 1.06 to 1.12), as compared with the counterfactual estimated from pre-intervention trends. This increase was observed even during a negative national impact on case finding from the COVID-19 pandemic. These results support the use of this health-facility based intervention to improve access to TB testing and care in this setting.
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spelling pubmed-100211552023-03-17 Impact of intensified tuberculosis case finding at health facilities on case notifications in Cameroon: A controlled interrupted time series analysis Adamou Mana, Zourriyah Beaudou, Chrysal Ngouateu Hilaire, Kamga Fotue Jean Konso, Joceline Ndahbove, Carole Waindim, Yvonne Ganava, Maurice Malama, Toussaint Matip, Christian Meoto, Paul Wandji, Irene Adeline Goupeyou Fundoh, Mercy Mbuli, Cyrille Comfort, Vuchas Teyim, Pride Alba, Sandra Creswell, Jacob Mbassa, Vincent Sander, Melissa PLOS Glob Public Health Research Article There is a large gap between the number of people who develop tuberculosis (TB) and those who are diagnosed, treated and notified, with only an estimated 71% of people with TB notified globally in 2019. Implementing better TB case finding strategies is necessary to close this gap. In Cameroon, 1,597 healthcare workers at 725 health facilities were trained and engaged to intensively screen and test people for TB, then follow-up to link people to appropriate care. Primary care centers were linked to TB testing through a locally-tailored specimen referral network. This intervention was implemented across 6 regions of the country, with a population of 16 million people, while the remaining 4 regions in the country, with 7.3 million people, served as a control area. Controlled interrupted time series analyses were used to compare routinely-collected programmatic TB case notification rates in the intervention versus control area for 12 quarters prior to (2016–2018) and for 8 quarters after the start of the intervention (2019–2020). In 2019–2020, a total of 167,508 people were tested for TB at intervention sites, including 52,980 people attending primary care facilities that did not previously provide organized TB services. The number of people tested for TB increased by 45% during the intervention as compared to prior to the intervention. The controlled interrupted time series analyses showed that after two years of the intervention, the all-forms TB case notification rate in the intervention population increased by 9% (ratio of case notification rate ratios = 1.09, 95% CI 1.06 to 1.12), as compared with the counterfactual estimated from pre-intervention trends. This increase was observed even during a negative national impact on case finding from the COVID-19 pandemic. These results support the use of this health-facility based intervention to improve access to TB testing and care in this setting. Public Library of Science 2022-07-19 /pmc/articles/PMC10021155/ /pubmed/36962183 http://dx.doi.org/10.1371/journal.pgph.0000301 Text en © 2022 Adamou Mana et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Adamou Mana, Zourriyah
Beaudou, Chrysal Ngouateu
Hilaire, Kamga Fotue Jean
Konso, Joceline
Ndahbove, Carole
Waindim, Yvonne
Ganava, Maurice
Malama, Toussaint
Matip, Christian
Meoto, Paul
Wandji, Irene Adeline Goupeyou
Fundoh, Mercy
Mbuli, Cyrille
Comfort, Vuchas
Teyim, Pride
Alba, Sandra
Creswell, Jacob
Mbassa, Vincent
Sander, Melissa
Impact of intensified tuberculosis case finding at health facilities on case notifications in Cameroon: A controlled interrupted time series analysis
title Impact of intensified tuberculosis case finding at health facilities on case notifications in Cameroon: A controlled interrupted time series analysis
title_full Impact of intensified tuberculosis case finding at health facilities on case notifications in Cameroon: A controlled interrupted time series analysis
title_fullStr Impact of intensified tuberculosis case finding at health facilities on case notifications in Cameroon: A controlled interrupted time series analysis
title_full_unstemmed Impact of intensified tuberculosis case finding at health facilities on case notifications in Cameroon: A controlled interrupted time series analysis
title_short Impact of intensified tuberculosis case finding at health facilities on case notifications in Cameroon: A controlled interrupted time series analysis
title_sort impact of intensified tuberculosis case finding at health facilities on case notifications in cameroon: a controlled interrupted time series analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021155/
https://www.ncbi.nlm.nih.gov/pubmed/36962183
http://dx.doi.org/10.1371/journal.pgph.0000301
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