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 patients. 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.

To determine the prevalence of resistance to rifampicin alone; rifampicin and isoniazid, and second-line anti-TB drugs among sputum smear-positive tuberculosis patients in Zimbabwe. Design: A health facility-based cross-sectional survey. Results: In total, 1114 (87.6%) new and 158 (12.4%) retreatment TB patients were enrolled. MTB was confirmed by Xpert MTB/RIF among 1184 (93%) smear-positive sputum samples. There were 64 samples with Xpert MTB/RIF-determined rifampicin resistance. However, two were rifampicin susceptible on phenotypic drug susceptibility testing. The prevalence of RR-TB was [4.0% (95% CI, 2.9, 5.4%), n = 42/1043) and 14.2% (95% CI, 8.9, 21.1%; n = 20/141) among new and retreatment patients, respectively. The prevalence of MDR-TB was 2.0% (95% CI, 1.3, 3.1%) and 6.4% (95% CI, 2.4, 10.3%) among new and retreatment TB patients, respectively. Risk factors for RR-TB included prior TB treatment, self-reported HIV infection, travel outside Zimbabwe for !one month (univariate), and age <15 years. Having at least a secondary education was protective against RR-TB. Conclusion: The prevalence of MDR-TB in Zimbabwe has remained stable since the 1994 subnational survey. However, the prevalence of rifampicin mono-resistance was double that of MDR-TB.

Objectives To determine the incidence and major drivers of catastrophic costs among TB‐affected households in Zimbabwe. Methods We conducted a nationally representative health facility‐based survey with random cluster sampling among consecutively enrolled drug‐susceptible (DS‐TB) and drug‐resistant TB (DR‐TB) patients. Costs incurred and income lost due to TB illness were captured using an interviewer‐administered standardised questionnaire. We used multivariable logistic regression to determine the risk factors for experiencing catastrophic costs. Results A total of 841 patients were enrolled and were weighted to 900 during data analysis. There were 500 (56%) males and 46 (6%) DR‐TB patients. Thirty‐five (72%) DR‐TB patients were HIV co‐infected. Overall, 80% (95% CI: 77–82) of TB patients and their households experienced catastrophic costs. The major cost driver pre‐TB diagnosis was direct medical costs. Nutritional supplements were the major cost driver post‐TB diagnosis, with a median cost of US$360 (IQR: 240–600). Post‐TB median diagnosis costs were three times higher among DR‐TB (US$1,659 [653–2,787]) than drug DS‐TB‐affected households (US$537 [204–1,134]). Income loss was five times higher among DR‐TB than DS‐TB patients. In multivariable analysis, household wealth was the only covariate that remained significantly associated with catastrophic costs: The poorest households had 16 times the odds of incurring catastrophic costs versus the wealthiest households (adjusted odds ratio [aOR: 15.7 95% CI: 7.5–33.1]). Conclusion The majority of TB‐affected households, especially those affected by DR‐TB, experienced catastrophic costs. Since the major cost drivers fall outside the healthcare system, multi‐sectoral approaches to TB control and linking TB patients to social protection may reduce catastrophic costs.

Background: Tuberculosis (TB) has biological and socio-economic dimensions. The socio-economic impact of TB may plunge households into financial catastrophes. The End TB strategy seeks to mitigate socio-economic factors which may act as barriers to accessing TB services. Countries have been encouraged to provide baseline estimates of catastrophic costs by 2020. We sought to determine the prevalence, risk factors and major drivers of catastrophic costs among TB patients in Zimbabwe. Methods: We conducted a nationally representative, health facility-based survey with random cluster sampling among TB patients. We enrolled patients with drug susceptible (DS-TB) and drug resistant TB (DR-TB) consecutively. We administered a standardised questionnaire to capture the costs incurred as well as lost income due to TB illness. Catastrophic costs were measured at a threshold of 20%. We did a sensitivity analysis of indirect costs using the time lost by patients in each phase of treatment. We used multivariable logistic regression to determine the risk factors for experiencing catastrophic costs. Results: A total of 841 patients were enrolled in the survey, weighted to 900 during data analysis. There were 500 (56%) males and 46 (6%) DR-TB patients. Thirty-five (72%) DR-TB patients were HIV co-infected. Overall, 80% (95% CI:77-82%) of TB patients and their households experienced catastrophic costs. The major cost drivers pre-TB diagnosis were direct medical costs. Nutritional supplements were the major cost driver post-TB diagnosis, (median cost US$360 (IQR: 240-600). Post-TB diagnosis costs were three-times higher among DR-TB [US$1,659 (653-2,787)] versus drug susceptible TB (DS-TB) affected households [US$537 (204-1,134)]. Income loss was five-times higher among DR-TB versus DS-TB patients. In multivariable analysis, household wealth was the only covariate that remained significantly associated with catastrophic costs: the poorest households had sixteen times the odds of incurring catastrophic costs compared to wealthiest households [adjusted odds ratio (aOR:15.7 95% CI:7.5-33.1)]. Conclusion: The majority of TB patients enrolled in care experienced catastrophic costs, with the highest burden on DR-TB patients. Since the major cost drivers fall outside the healthcare system, a multi-sectoral approach to TB control and linking TB patients to social protection schemes holds promise for reducing catastrophic costs in Zimbabwe.

Background Zimbabwe is one of the thirty countries globally with a high burden of multidrug-resistant tuberculosis (TB) or rifampicin-resistant TB (MDR/RR-TB). Since 2010, patients diagnosed with MDR/RR-TB are being treated with 20-24 months of standardized second-line drugs (SLDs). The profile, management and factors associated with unfavourable treatment outcomes of MDR/RR TB have not been systematically evaluated in Zimbabwe. Objective To assess treatment outcomes and factors associated with unfavourable outcomes among MDR/RR-TB patients registered and treated under the National Tuberculosis Programme in all the district hospitals and urban healthcare facilities in Zimbabwe between January 2010 and December 2015. Methods A cohort study using routinely collected programme data. The 'death', 'loss to follow-up' (LTFU), 'failure' and 'not evaluated' were considered as "unfavourable outcome". A generalized linear model with a log-link and binomial distribution or a Poisson distribution with robust error variances were used to assess factors associated with "unfavourable outcome". The unadjusted and adjusted relative risks were calculated as a measure of association. A pva-lue< 0.05 was considered statistically significant.