scholarly journals Patient delay in a coronavirus disease 2019 (COVID-19) outbreak in Tianjin, China from January to February 2020

Author(s):  
Chunxia Cao ◽  
Yue Li ◽  
Shaobo Fu ◽  
Yongzhong Zhang ◽  
Ning Li ◽  
...  
Keyword(s):  
2016 ◽  
Vol 07 (02) ◽  
pp. 300-305
Author(s):  
David Heidsieck ◽  
Paul ten Berg ◽  
Niels Schep ◽  
Simon Strackee

2002 ◽  
Vol 91 (2) ◽  
pp. 147-155 ◽  
Author(s):  
Michael Kentsch ◽  
Uwe Rodemerk ◽  
Gert Müller-Esch ◽  
Ulrike Schnoor ◽  
Thomas Münzel ◽  
...  

Cancer ◽  
1983 ◽  
Vol 51 (7) ◽  
pp. 1226-1229 ◽  
Author(s):  
Joseph G. Feldman ◽  
Mitchell Saunders ◽  
Anne C. Carter ◽  
Bernard Gardner
Keyword(s):  

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Wongsa Laohasiriwong ◽  
Roshan Kumar Mahato ◽  
Rajendra Koju ◽  
Kriangsak Vaeteewootacharn

Tuberculosis (TB) is still a major public health challenge in Nepal and worldwide. Most transmissions occur between the onset of symptoms and the consultation with formal health care centers. This study aimed to determine the duration of delay for the first consultation and its associated factors with unacceptable delay among the new sputum pulmonary tuberculosis cases in the central development region of Nepal. An analytical cross-sectional study was conducted in the central development region of Nepal between January and May 2015. New pulmonary sputum positive tuberculosis patients were interviewed by using a structured questionnaire and their medical records were reviewed. Among a total of 374 patients, the magnitude of patient delay was 53.21% (95% CI: 48.12–58.28%) with a median delay of 32 days and an interquartile range of 11–70 days. The factors associated with unacceptable patient delay (duration ≥ 30 days) were residence in the rural area (adj. OR = 3.10, 95% CI: 1.10–8.72;pvalue = 0.032) and DOTS center located more than 5 km away from their residences (adj. OR = 5.53, 95% CI: 2.18–13.99;pvalue < 0.001). Unemployed patients were more likely to have patient delay (adj. OR = 7.79, 95% CI: 1.64–37.00;pvalue = 0.010) when controlled for other variables.


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