Bikram Singh Dhami, Damaru Prasad Paneru, Sagar Parajuli, K C Aarati, Dhirendra Nath
{"title":"Patient and health system delays in the diagnosis and treatment of tuberculosis in Gandaki, Nepal.","authors":"Bikram Singh Dhami, Damaru Prasad Paneru, Sagar Parajuli, K C Aarati, Dhirendra Nath","doi":"10.1371/journal.pgph.0004676","DOIUrl":null,"url":null,"abstract":"<p><p>Delays in accessing healthcare worsen disease outcomes, increasing Tuberculosis (TB) transmission rates and mortality. Prolonged delays may contribute to drug-resistant TB strains in some cases, this study assessed delays in diagnosis and treatment among TB patients in Gandaki, Nepal. A cross-sectional study was conducted among a randomly selected sample of 194 TB patients enrolled in Direct Observed Treatment Short-course (DOTS) therapy. The data were collected through face-to-face interviews using a semi-structured interview schedule, which was developed through literature review and adaptation of the World Health Organization's multi-country study. Multivariate logistic regression was employed to identify factors associated with delays in diagnosis and treatment, considering a p value < 0.05 to indicate statistical significance. The median patient and health system delays were 35 (7-120) and 9 (2-98) days, respectively. Furthermore, 55.7% and 58.2% of patients experienced patient and health system delays, respectively. In the multivariable logistic regression analysis, factors associated with unacceptable patient delay included non enrollment in government health insurance programmes (AOR: 3.19; 95% CI: 1.29-7.98), seeking care from non-National Tuberculosis Program (non-NTP) providers (AOR: 3.19; 95% CI: 1.460-6.97), poor knowledge of TB (AOR: 3.74; 95% CI: 1.67-8.37), and high levels of perceived stigma (AOR: 3.15; 95% CI: 1.42-6.94). Furthermore, undergoing an initial diagnostic test other than GeneXpert (AOR: 3.25; 95% CI: 1.19-8.87) and visiting healthcare facilities multiple times before being diagnosed with TB (AOR: 5.62; 95% CI: 2.26-13.96) were significantly associated with unacceptable health system delay. Patient and health system delays were prevalent among TB patients. Reducing these delays is crucial for improving TB control. Therefore, urgent action is needed to implement education campaigns to improve TB literacy. Additionally, engaging private and informal healthcare providers and enhancing their capacity to deliver timely and effective TB care could potentially mitigate delays in diagnosis and treatment.</p>","PeriodicalId":74466,"journal":{"name":"PLOS global public health","volume":"5 6","pages":"e0004676"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PLOS global public health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1371/journal.pgph.0004676","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Delays in accessing healthcare worsen disease outcomes, increasing Tuberculosis (TB) transmission rates and mortality. Prolonged delays may contribute to drug-resistant TB strains in some cases, this study assessed delays in diagnosis and treatment among TB patients in Gandaki, Nepal. A cross-sectional study was conducted among a randomly selected sample of 194 TB patients enrolled in Direct Observed Treatment Short-course (DOTS) therapy. The data were collected through face-to-face interviews using a semi-structured interview schedule, which was developed through literature review and adaptation of the World Health Organization's multi-country study. Multivariate logistic regression was employed to identify factors associated with delays in diagnosis and treatment, considering a p value < 0.05 to indicate statistical significance. The median patient and health system delays were 35 (7-120) and 9 (2-98) days, respectively. Furthermore, 55.7% and 58.2% of patients experienced patient and health system delays, respectively. In the multivariable logistic regression analysis, factors associated with unacceptable patient delay included non enrollment in government health insurance programmes (AOR: 3.19; 95% CI: 1.29-7.98), seeking care from non-National Tuberculosis Program (non-NTP) providers (AOR: 3.19; 95% CI: 1.460-6.97), poor knowledge of TB (AOR: 3.74; 95% CI: 1.67-8.37), and high levels of perceived stigma (AOR: 3.15; 95% CI: 1.42-6.94). Furthermore, undergoing an initial diagnostic test other than GeneXpert (AOR: 3.25; 95% CI: 1.19-8.87) and visiting healthcare facilities multiple times before being diagnosed with TB (AOR: 5.62; 95% CI: 2.26-13.96) were significantly associated with unacceptable health system delay. Patient and health system delays were prevalent among TB patients. Reducing these delays is crucial for improving TB control. Therefore, urgent action is needed to implement education campaigns to improve TB literacy. Additionally, engaging private and informal healthcare providers and enhancing their capacity to deliver timely and effective TB care could potentially mitigate delays in diagnosis and treatment.