2019
DOI: 10.1038/s41598-019-56553-1
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Intermittent treatment interruption and its effect on multidrug resistant tuberculosis treatment outcome in Ethiopia

Abstract: Treatment interruption is one of the main risk factors of poor treatment outcome and occurrence of additional drug resistant tuberculosis. This study is a national retrospective cohort study with 10 years follow up period in MDR-TB patients in Ethiopia. We included 204 patients who had missed the treatment at least for one day over the course of the treatment (exposed group) and 203 patients who had never interrupted the treatment (unexposed group). We categorized treatment outcome into successful (cured or co… Show more

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Cited by 25 publications
(29 citation statements)
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“…However, the magnitude of treatment interruption in our study was higher than studies from China [12], and Ethiopia [13]. The definition used across studies was one of the possible reasons for the difference in treatment interruption.…”
Section: Discussioncontrasting
confidence: 67%
See 1 more Smart Citation
“…However, the magnitude of treatment interruption in our study was higher than studies from China [12], and Ethiopia [13]. The definition used across studies was one of the possible reasons for the difference in treatment interruption.…”
Section: Discussioncontrasting
confidence: 67%
“…Many previous works of scholars have noted some of the characteristics associated with an increased probability of interrupting treatment among DR-TB patients [10][11][12][13]. These include basic patient-related factors such as educational status, sex, alcoholism, and cigarette smoking.…”
Section: Introductionmentioning
confidence: 99%
“…Habteyes et . al found treatment interruption was significantly associated with unsuccessful treatment outcomes (ARR = 1.9; 95% CI [1.4–2.6]) [ 24 ].…”
Section: Discussionmentioning
confidence: 99%
“…There has been substantial interest in the relationship between suboptimal implementation and various intermediate and final treatment outcomes. Largely using simple percentage adherence thresholds across the entire treatment period, suboptimal implementation has been associated with unsuccessful treatment outcomes in a variety of settings from Malawi to Israel, in both observational and randomised controlled trial datasets, and using a variety of methods to define and measure implementation [37,[45][46][47][48][49][50]. In observational datasets from Russia and the USA, this association extends to the development of drug resistance [51,52], although in simulations it has not been consistently proven [53].…”
Section: Suboptimal Implementationmentioning
confidence: 99%