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Year : 2017  |  Volume : 6  |  Issue : 3  |  Page : 627-635

Prevalence and determinants of delay in diagnosis of pulmonary tuberculosis in Darjeeling district of West Bengal

1 Superintendent, Deben Mahato Sadar Hospital, Purulia, West Bengal, India
2 Department of Community Medicine, IPGMER and SSKM Hospital, Kolkata, West Bengal, India
3 Deputy CMOH-II, Maldah District, Kolkata, West Bengal, India
4 Deputy CMOH-I, Basirhat Health District, Kolkata, West Bengal, India
5 Department of PSM, AIIH &PH, Kolkata, West Bengal, India

Correspondence Address:
Dr. Mausumi Basu
Department of Community Medicine, IPGMER and SSKM Hospital, Kolkata, West Bengal
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/2249-4863.214432

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Background: Delayed diagnosis of tuberculosis (TB) is a significant problem both in individual as well as community level. Different studies around globe revealed that these diagnostic delays are attributed to both patient delay and health system-related delay. Aims: This study aims to assess the magnitude of delay in diagnosis and the association with sociodemographic profile among new sputum-positive pulmonary TB patients in Darjeeling district. Materials and Methods: A cross-sectional study was conducted among 374 TB patients from October 2011 to March 2012 using a predesigned pretested schedule by face-to-face interview. Statistical Analysis: Logistic regression analysis, odds ratios (OR), adjusted ORs. Results: Patient delay, health system delay and total diagnostic delay were 27 days, 20.1 days, and 20.6 days; mean delays were 23.64, 5.71, and 29.46 days, and median delays were 25, 5, and 32 days, respectively. Risk factors associated with patient delay were female gender, rural residence, illiteracy, smoking, alcohol consumption, taking two, or more alternate treatments; for health system delay were female sex, rural residence, time to reach health facility, time spent per visit; and for total diagnostic delay were female sex, alcoholism, and seeking more than two alternate treatment. Conclusions: The risk factors for delay identified may be the subject of future interventions.

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