Estimating the impact of the first 2 years of the COVID-19 pandemic on tuberculosis diagnosis and treatment outcomes in Southeastern City in Iran: an interrupted time series analysis of the preceding 10 years of ecological data
Abstract Background With shared modes of transmission and clinical symptoms the convergence of COVID-19 and tuberculosis (TB) might lead to reduced diagnosis and detection of TB, which is challenging for healthcare systems already strained by the pandemic's reach. Methods This ecological study...
| Published in: | BMC Health Services Research |
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| Format: | Article |
| Language: | English |
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BMC
2024-11-01
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| Online Access: | https://doi.org/10.1186/s12913-024-11959-0 |
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| author | Mehdi Sharafi Maryam TalebiMoghaddam Sakineh Narouee Alireza Heiran Mohsen Khaleghi Ali Mouseli Zahra Amiri |
| author_facet | Mehdi Sharafi Maryam TalebiMoghaddam Sakineh Narouee Alireza Heiran Mohsen Khaleghi Ali Mouseli Zahra Amiri |
| author_sort | Mehdi Sharafi |
| collection | DOAJ |
| container_title | BMC Health Services Research |
| description | Abstract Background With shared modes of transmission and clinical symptoms the convergence of COVID-19 and tuberculosis (TB) might lead to reduced diagnosis and detection of TB, which is challenging for healthcare systems already strained by the pandemic's reach. Methods This ecological study investigated the impact of the COVID-19 pandemic on TB surveillance over the first 2 years of the pandemic (March 2020 to February 2022) in southeastern Iran. Interrupted Time Series (ITS) analysis with the quasi-Poisson regression models was used to estimate the relative risk (RR) of TB diagnosis and treatment outcome counts, stratified by gender, case definition, involvement type, and treatment outcomes. Results The ITS analyses showed a significant decrease in TB total cases (RR: 0.622 [95% CI: 0.487, 0.793], P < 0.001), new cases (RR: 0.632 [95% CI: 0.493, 0.810], P < 0.001) and recurrent cases (RR: 0.491 [95% CI: 0.247, 0.974], P < 0.001). In addition, recovery and treatment failure counts also showed significant decreases (RR: 0.751 [95% CI: 0.566, 0.996], P = 0.05; RR: 0.201 [95% CI: 0.054, 0.738], P = 0.02). Moreover, significant decreases are observed in both genders and involvement types (pulmonary and extrapulmonary TB). No significant change was observed for absent to treatment and death counts. Conclusion The COVID-19 pandemic has negatively impacted TB diagnosis and treatments. Concerns are risen about the progress achieved in TB control. |
| format | Article |
| id | doaj-art-a18f71cfab3347fe86effd4541ffb68f |
| institution | Directory of Open Access Journals |
| issn | 1472-6963 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | BMC |
| record_format | Article |
| spelling | doaj-art-a18f71cfab3347fe86effd4541ffb68f2025-08-20T02:08:19ZengBMCBMC Health Services Research1472-69632024-11-012411710.1186/s12913-024-11959-0Estimating the impact of the first 2 years of the COVID-19 pandemic on tuberculosis diagnosis and treatment outcomes in Southeastern City in Iran: an interrupted time series analysis of the preceding 10 years of ecological dataMehdi Sharafi0Maryam TalebiMoghaddam1Sakineh Narouee2Alireza Heiran3Mohsen Khaleghi4Ali Mouseli5Zahra Amiri6School of Nursing, Gerash University of Medical SciencesNon-Communicable Disease Research Center, Fasa University of Medical SciencesMsc of Epidemiology,Department of Health, Iranshahr University of Medical SciencesNon-Communicable Diseases Research Center, Shiraz University of Medical SciencesDepartment of Mathematics, Fasa Branch, Islamic Azad UniversitySocial Determinants in Health Promotion Research Center, Health Institute, Hormozgan University of Medical SciencesSocial Determinants in Health Promotion Research Center, Health Institute, Hormozgan University of Medical SciencesAbstract Background With shared modes of transmission and clinical symptoms the convergence of COVID-19 and tuberculosis (TB) might lead to reduced diagnosis and detection of TB, which is challenging for healthcare systems already strained by the pandemic's reach. Methods This ecological study investigated the impact of the COVID-19 pandemic on TB surveillance over the first 2 years of the pandemic (March 2020 to February 2022) in southeastern Iran. Interrupted Time Series (ITS) analysis with the quasi-Poisson regression models was used to estimate the relative risk (RR) of TB diagnosis and treatment outcome counts, stratified by gender, case definition, involvement type, and treatment outcomes. Results The ITS analyses showed a significant decrease in TB total cases (RR: 0.622 [95% CI: 0.487, 0.793], P < 0.001), new cases (RR: 0.632 [95% CI: 0.493, 0.810], P < 0.001) and recurrent cases (RR: 0.491 [95% CI: 0.247, 0.974], P < 0.001). In addition, recovery and treatment failure counts also showed significant decreases (RR: 0.751 [95% CI: 0.566, 0.996], P = 0.05; RR: 0.201 [95% CI: 0.054, 0.738], P = 0.02). Moreover, significant decreases are observed in both genders and involvement types (pulmonary and extrapulmonary TB). No significant change was observed for absent to treatment and death counts. Conclusion The COVID-19 pandemic has negatively impacted TB diagnosis and treatments. Concerns are risen about the progress achieved in TB control.https://doi.org/10.1186/s12913-024-11959-0Pulmonary TBExtrapulmonary TBInterrupted time seriesCOVID-19Quasi-poisson regressionRelative risk |
| spellingShingle | Mehdi Sharafi Maryam TalebiMoghaddam Sakineh Narouee Alireza Heiran Mohsen Khaleghi Ali Mouseli Zahra Amiri Estimating the impact of the first 2 years of the COVID-19 pandemic on tuberculosis diagnosis and treatment outcomes in Southeastern City in Iran: an interrupted time series analysis of the preceding 10 years of ecological data Pulmonary TB Extrapulmonary TB Interrupted time series COVID-19 Quasi-poisson regression Relative risk |
| title | Estimating the impact of the first 2 years of the COVID-19 pandemic on tuberculosis diagnosis and treatment outcomes in Southeastern City in Iran: an interrupted time series analysis of the preceding 10 years of ecological data |
| title_full | Estimating the impact of the first 2 years of the COVID-19 pandemic on tuberculosis diagnosis and treatment outcomes in Southeastern City in Iran: an interrupted time series analysis of the preceding 10 years of ecological data |
| title_fullStr | Estimating the impact of the first 2 years of the COVID-19 pandemic on tuberculosis diagnosis and treatment outcomes in Southeastern City in Iran: an interrupted time series analysis of the preceding 10 years of ecological data |
| title_full_unstemmed | Estimating the impact of the first 2 years of the COVID-19 pandemic on tuberculosis diagnosis and treatment outcomes in Southeastern City in Iran: an interrupted time series analysis of the preceding 10 years of ecological data |
| title_short | Estimating the impact of the first 2 years of the COVID-19 pandemic on tuberculosis diagnosis and treatment outcomes in Southeastern City in Iran: an interrupted time series analysis of the preceding 10 years of ecological data |
| title_sort | estimating the impact of the first 2 years of the covid 19 pandemic on tuberculosis diagnosis and treatment outcomes in southeastern city in iran an interrupted time series analysis of the preceding 10 years of ecological data |
| topic | Pulmonary TB Extrapulmonary TB Interrupted time series COVID-19 Quasi-poisson regression Relative risk |
| url | https://doi.org/10.1186/s12913-024-11959-0 |
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