TAILIEUCHUNG - Pulmonary tuberculosis diagnostic delays in Chad: a multicenter, hospital-based survey in Ndjamena and Moundou

Tuberculosis remains one of the leading causes of morbidity and mortality in low-resource countries. One contagious patient can infect 10 to 20 contacts in these settings. Delays in diagnosing TB therefore contribute to the spread of the disease and sustain the epidemic. Objectives: The aim of this study was to assess delays in diagnosing tuberculosis and the factors associated with these delays in the public hospitals in Moundou and Ndjamena, Chad. Methods: A structured questionnaire was administered to 286 new tuberculosis patients to evaluate patient delay (time from the onset of symptoms to the first formal or informal care), health-care system delay (time from the first health. | Ndeikoundam Ngangro et al. BMC Public Health 2012 12 513 http 1471-2458 12 513 BMC Public Health RESEARCH ARTICLE Open Access Pulmonary tuberculosis diagnostic delays in Chad a multicenter hospital-based survey in Ndjamena and Moundou Ndeindo Ndeikoundam Ngangro1 2 Doudeadoum Ngarhounoum3 Mosurel N Ngangro4 Ngakoutou Rangar5 6 Mahinda G Siriwardana1 Virginie Halley des Fontaines2 and Pierre Chauvin1 2 Abstract Background Tuberculosis remains one of the leading causes of morbidity and mortality in low-resource countries. One contagious patient can infect 10 to 20 contacts in these settings. Delays in diagnosing TB therefore contribute to the spread of the disease and sustain the epidemic. Objectives The aim of this study was to assess delays in diagnosing tuberculosis and the factors associated with these delays in the public hospitals in Moundou and Ndjamena Chad. Methods A structured questionnaire was administered to 286 new tuberculosis patients to evaluate patient delay time from the onset of symptoms to the first formal or informal care health-care system delay time from the first health care to tuberculosis treatment and total delay sum of the patient and system delays . Logistic regression was used to identify risk factors associated with long diagnostic delays defined as greater than the median . Results and discussion The median interquartile range patient delay system delay and total delay were 15 7-30 36 19-65 and 33-95 days respectively. Low economic status aOR adjusted odds ratio not being referred to a health service aOR and a secondary level education aOR were associated with a long patient delay. Risk factors for a long system delay were a low level of education aOR and the belief that traditional medicine and informal care can cure TB aOR . Conclusion Targeted strengthening of the health-care system including improving patient access addressing .

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