Tuberculosis treatment delay and associated factors among pulmonary tuberculosis patients at public health facilities in Dale District and Yirgalem Town administration, Sidama Region, South Ethiopia

Rima, Daniel Dawit; Legese, Derese; Woldesemayat, Endrias Markos

doi:10.1186/s12879-024-09397-8

Cited by 3 publications

References 35 publications

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Analysis on seeking medical treatment delay and influencing factors of tuberculosis patients among students in Wuhan,China during 2012－2023

Zhang,

Quan,

Chen

et al. 2024

Preprint

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Background Tuberculosis (TB) treatment delay is one of the major challenges to end tuberculosis in many developing countries. Such cases may contribute to an increased TB transmission and severity of illness.Timely detection and treatment of tuberculosis is an effective means to control tuberculosis especially in school where is a place with dense crowds and strong mobility.This study aims to assess the magnitude of student patient delay in seeking medical treatment and associated factors in Wuhan,China. Methods We used the medical record information of PTB patients of students in Wuhan recorded by the National Tuberculosis Management Information System(TBIMS) in 2012-2023,then exported to the Statistical Package for Social Science (SPSS) version 25 to analyze the delay and change trend of seeking medical treatment of student tuberculosis patients, and took Multi-variable logistic regression method to ascertain the factors affecting the delay of seeking medical treatment of students. Results The median time of student TB patients in seeking medical treatment was 11 (5,21) days in Wuhan, and 38.54% of involved student TB patients in seeking medical treatment for more than 14 days after onset of their TB symptoms. From 2012 to 2023, except for the year of COVID-19, there was little fluctuation in the delay of students seeking medical treatment for tuberculosis in other years. during COVID།19, the time from symptoms onset to seeking medical treatment was significantly shorter due to the strengthening of school morning and afternoon examinations and symptom screening,the proportion of students aged ≥ 18 seeking medical treatment for tuberculosis is the highest among age groups.The results of multivariate analysis showed that near urban area, female, 13–18years old, ethnic minorities, and follow-up patients were at higher risk of delay in seeking medical treatment, and different ethnic groups and patient sources were the main influencing factors of delay in treatment. Conclusion There was a high prevalence of delay in seeking medical treatment among pulmonary tuberculosis (PTB) student patients in Wuhan, nearly 1/4 of student patients experienced the delay of seeking medical treatment. Students from ethnic minorities or abroad, as well as patients from the tracking group were factors associated with delay in seeking medical treatment. Providing health education to the community and more active case tracking by staff in grassroots community health service centers would minimize the delay.

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Analysis on seeking medical treatment delay and influencing factors of tuberculosis patients among students in Wuhan,China during 2012－2023

Zhang,

Quan,

Chen

et al. 2024

Preprint

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Health-seeking delay and potential determinants among pulmonary tuberculosis patients: a retrospective survey in China

Fan,

Liu,

Liu

et al. 2024

Preprint

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Background Understanding the health-seeking delay (HSD) in pulmonary tuberculosis (PTB) patients aids tailored strategies to curb transmission. This study aims to assess HSD and factors in China, considering the COVID-19 impacts. Methods Symptomatic PTB patients diagnosed from 2019 to 2022 were sampled using multistage stratified clustering. A semi-structured questionnaire was utilized to assess their HSD. Participants were divided to pre (2019) and epidemic (2020–2022) groups, the latter further categorized to 12 subgroups byⅠ–Ⅳstages and 3 levels of stringency in public health and social measures(PHSMs). Categorical variables were presented as counts (percentages), while continuous as median (Interquartile Range). The time between patient onset symptom and initial health facility visiting was defined as the health-seeking interval (HSI), HSIs of epidemic group and subgroups were compared with those of the 2019. Factors associated with HSD were analysed, univariable and multivariable analysis were performed by chi-square tests and binary logistic regression separately. Results Sum of 759 PTB patients, 391 diagnosed pre and 368 during the epidemic. HSI was 14 (7–30) days for all patients, with no significant difference between two groups [12 (7–30) days vs. 15 (6–30) days, P = 0.852]. Among the 12 subgroups, only under strict PHSMs in stage I and medium PHSMs in stage II showed significant differences in HSIs compared to 2019[10 (3–15) days vs. 20 (10–30) days, 10 (3–17.5) days vs. 20 (8.5–50) days] (P = 0.013, 0.038). HSD proportions were comparable between the two groups (48.1% vs. 51.6%, P = 0.328). Self-medication before seeking health was a common factor for HSD (AOR: 3.057/2.868, 95% CI: 1.888–4.950/1.718–4.787). During the epidemic, solely cough and expectoration were prone to HSD (AOR: 2.144, 95% CI: 1.288–3.569), and passive case-finding posed a higher HSD risk than active (AOR: 30.987, 95% CI: 3.904-245.932). Most patients with HSD misinterpreted PTB, while a few cited epidemic inconvenience and fear of COVID-19. Conclusions HSD among PTB patients remains prevalent, the COVID-19 epidemic exerted limited impact. Individual, epidemic and health provider factors mediated the HSD. Increasing PTB awareness, enhancing health services accessibility during epidemics, and expanding active case-finding are recommended to minimize the delays.

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Research Hotspots and Frontiers of Patient Delay: A Bibliometric Analysis from 2000 to 2023

Song,

Yang,

Xue

2024

JMDH

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Objective This study aimed to examine the global scientific output of research on patient delay and explore the hotspots and frontiers from 2000 to 2023 through bibliometric analysis. Methods Publications regarding patient delay published from 2000 to 2023 were extracted from the Web of Science Core Collection (WOSCC). Subsequently, CiteSpace, VOSviewer, and Bibliometrix Online Analysis Platform were used to analyze publications, countries, institutions, authors, journals, and keywords. Results A total of 721 papers were included in the study. The publication output increased from 20 papers in 2000 to 64 papers in 2023, a remarkable 220.00% growth. The USA (138 papers) and University of California San Francisco (21 papers) were identified as the most productive country and institution, respectively. Moser (10 papers), and Dracup (10 papers) are the most productive authors. “BMC Public Health” (24 publications) is the most productive journal. “Patient Delay” was the most cited keyword, with high-frequency keywords such as “Prehospital Delay”, “Symptoms”, “Time”, “Care”, “Diagnosis”, “Acute Myocardial-infarction”, and “Mortality” signaling hot topics in Patient Delay. Conclusion There are increasingly many papers on patient delay. However, there has been limited development of cooperation between countries and institutions. In the future, collaboration between countries and institutions should be strengthened. In addition, 3 hotspots and 3 frontiers are summarized in this study to provide researchers with future research directions.

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Tuberculosis treatment delay and associated factors among pulmonary tuberculosis patients at public health facilities in Dale District and Yirgalem Town administration, Sidama Region, South Ethiopia

Cited by 3 publications

References 35 publications

Analysis on seeking medical treatment delay and influencing factors of tuberculosis patients among students in Wuhan,China during 2012－2023

Analysis on seeking medical treatment delay and influencing factors of tuberculosis patients among students in Wuhan,China during 2012－2023

Health-seeking delay and potential determinants among pulmonary tuberculosis patients: a retrospective survey in China

Research Hotspots and Frontiers of Patient Delay: A Bibliometric Analysis from 2000 to 2023

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