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연구정보

Tuberculosis treatment delays and associated factors within the Zimbabwe national tuberculosis programme

짐바브웨 국외연구자료 기타 Kudakwashe C Takarinda, Anthony D Harries, Barnet Nyathi, Mkhokheli Ngwenya, Tsitsi Mutasa-Apollo and Charles Sandy Bio Med Central 발간일 : 2015-01-29 등록일 : 2015-01-30 원문링크

Abstract

BackgroundDelayed presentation of pulmonary TB (PTB) patients for treatment from onset of symptoms remains a threat to controlling individual disease progression and TB transmission in the community. Currently, there is insufficient information about treatment delays in Zimbabwe, and we therefore determined the extent of patient and health systems delays and their associated factors in patients with microbiologically confirmed PTB.MethodsA structured questionnaire was administered at 47 randomly selected health facilities in Zimbabwe by trained health workers to all patients aged ?18?years with microbiologically confirmed PTB who were started on TB treatment and entered in the health facility TB registers between 01 January and 31 March 2013. Multivariate logistic regression was used to calculate adjusted odds ratios (aOR) and 95% confidence intervals (CIs) for associations between patient/health system characteristics and patient delay >30?days or health system delay >4?days.ResultsOf the 383 recruited patients, 211(55%) were male with an overall median age of 34?years (IQR, 28-43). There was a median of 28?days (IQR, 21-63) for patient delays and 2?days (IQR, 1-5) for health system delays with 184 (48%) and 118 (31%) TB patients experiencing health system delays >30?days and health system delays >4?days respectively. Starting TB treatment at rural primary healthcare vs district/mission facilities [aOR 2.70, 95% CI 1.27-5.75, p?=?0.01] and taking self-medication [aOR 2.33, 95% CI 1.23-4.43, p?=?0.01] were associated with encountering patient delays. Associated with health system delays were accessing treatment from lower level facilities [aOR 2.67, 95% CI 1.18-6.07, p?=?0.019], having a Gene Xpert TB diagnosis [aOR 0.21, 95% CI 0.07-0.66, p?=?0.008] and >4 health facility visits prior to TB diagnosis [(aOR) 3.34, 95% CI 1.11-10.03, p?=?0.045].ConclusionPatient delays were longer and more prevalent, suggesting the need for strategies aimed at promoting timely seeking of appropriate medical consultation among presumptive TB patient. Health system delays were uncommon, suggesting a fairly efficient response to microbiologically confirmed PTB cases. Identified risk factors should be explored further and specific strategies aimed at addressing these factors should be identified in order to lessen patient and health system delays.

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