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Analysis on time delay of tuberculosis among adolescents and young adults in Eastern China

Dados Bibliográficos

ID22084672
AutoresRui Ge (0000-0002-5692-3619, First Hospital of Jiaxing), Guoying Zhu (0009-0001-9861-7951, First Hospital of Jiaxing), Mingzhong Tian (0000-0001-5780-5721, Zhejiang Center for Disease Control and Prevention), Min Tian (0000-0003-2455-4617, Zhejiang Center for Disease Control and Prevention), Zhigang Hou (First Hospital of Jiaxing), Weizhe Pan (First Hospital of Jiaxing), Hao Feng (0009-0005-5411-1077, First Hospital of Jiaxing), Kui Liu (0000-0002-7519-3332, Zhejiang Center for Disease Control and Prevention, autor correspondente), Qinfeng Xiao, Qiaoyi Xiao (First Hospital of Jiaxing, autor correspondente), Zhongwen Chen (0000-0001-5218-0152, First Hospital of Jiaxing, autor correspondente)
Ano2024
Volume12
Páginas1376404-1376404
Data de publicação2024-04-08
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoFrontiers in Public Health (JOURNAL)
Identificadores do periódicoISSN: 2296-2565 • E-ISSN: 2296-2565
EditoraFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2024.1376404
PMID38651131
OpenAlexW4394575347
IdiomaEN
Citações recebidas2
Referências citadas35

Background: Tuberculosis (TB) is recognized as a significant global public health concern. Still, there remains a dearth of comprehensive evaluation regarding the specific indicators and their influencing factors of delay for adolescents and young adults. Methods: All notified pulmonary TB (PTB) patients in Jiaxing City were collected between 2005 and 2022 from China's TB Information Management System. Logistic regression models were conducted to ascertain the factors that influenced patient and health system delays for PTB cases, respectively. Furthermore, the impact of the COVID-19 pandemic on local delays has been explored. Results: From January 1, 2005 to December 31, 2022, a total of 5,282 PTB cases were notified in Jiaxing City, including 1,678 adolescents and 3,604 young adults. For patient delay, female (AOR: 1.18, 95%CI: 1.05-1.32), PTB complicated with extra-pulmonary TB (AOR: 1.70, 95% CI: 1.28-2.26), passive case finding (AOR: 1.46, 95% CI: 1.07-1.98) and retreatment (AOR: 1.52, 95% CI: 1.11-2.09) showed a higher risk of delay. For health system delay, minorities (AOR: 0.69, 95% CI: 0.53-0.90) and non-students (AOR: 0.83, 95% CI: 0.71-0.98) experienced a lower delay. Referral (AOR: 1.46, 95% CI: 1.29-1.65) had a higher health system delay compared with clinical consultation. Furthermore, county hospitals (AOR: 1.47, 95% CI: 1.32-1.65) and etiological positive results (AOR: 1.46, 95% CI: 1.30-1.63) were associated with comparatively high odds of patient delay. Contrarily, county hospitals (AOR: 0.88, 95% CI: 0.78-1.00) and etiological positive results (AOR: 0.67, 95% CI: 0.59-0.74) experienced a lower health system delay. Besides, the median of patient delay, health system delay, and total delay during the COVID-19 pandemic were significantly lower than that before. Conclusion: In general, there has been a noteworthy decline in the notification rate of PTB among adolescents and young adults in Jiaxing City while the declining trend was not obvious in patient delay, health system delay, and total delay, respectively. It also found factors such as gender, case-finding method, and the hospital level might influence the times of seeking health care and diagnosis in health agencies. These findings will provide valuable insights for refining preventive and treatment strategies for TB among adolescents and young adults

China · Geography · Pathology · Tuberculosis · Young adult · Immune responses and vaccinations · Medicine · Pneumonia and Respiratory Infections · Tuberculosis Research and Epidemiology · Gerontology · Pediatrics

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    Open Access•Eryong Liu, E K H Liu et al.•BMC Public Health•2025

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    Open Access•Yi Liu, Yuansi Huang et al.•Frontiers in Public Health•2026

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    Open Access•Xiaolin Wang, Wencong He et al.•Frontiers in Public Health•2021

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Obras citantes distintas2
Citações por ano2
Intervalo de citações2025 - 2026 (2)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 2
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