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Open Access

Peer-reviewed

Research Article

An interrupted time series analysis of the effect of the quality improvement team on the rate of adverse events in the Botswana safe male circumcision program from 2015 to 2019

Ludo S. Monene ,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: ludomonene@gmail.com

Affiliation Department of Public Health and Family Medicine, Faculty of Medicine, University of Botswana, Gaborone, Botswana

https://orcid.org/0009-0001-4283-4498

⨯
Billy M. Tsima,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Department of Public Health and Family Medicine, Faculty of Medicine, University of Botswana, Gaborone, Botswana
⨯
Keikantse Matlhagela,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Department of Biomedical Sciences, Faculty of Medicine, University of Botswana, Gaborone, Botswana
⨯
Mooketsi Molefi

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Department of Public Health and Family Medicine, Faculty of Medicine, University of Botswana, Gaborone, Botswana
⨯

An interrupted time series analysis of the effect of the quality improvement team on the rate of adverse events in the Botswana safe male circumcision program from 2015 to 2019

Ludo S. Monene,
Billy M. Tsima,
Keikantse Matlhagela,
Mooketsi Molefi

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Published: December 12, 2025
https://doi.org/10.1371/journal.pone.0335587

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Circumcision
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HIV
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Botswana
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Adverse events
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Age groups
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Circumcision for HIV prevention
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HIV prevention
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Time series analysis
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