Dataset Information

Mapping tuberculosis treatment outcomes in Ethiopia.

ABSTRACT:

Background

Tuberculosis (TB) is the leading cause of death from an infectious disease in Ethiopia, killing more than 30 thousand people every year. This study aimed to determine whether the rates of poor TB treatment outcome varied geographically across Ethiopia at district and zone levels and whether such variability was associated with socioeconomic, behavioural, health care access, or climatic conditions.

Methods

A geospatial analysis was conducted using national TB data reported to the health management information system (HMIS), for the period 2015-2017. The prevalence of poor TB treatment outcomes was calculated by dividing the sum of treatment failure, death and loss to follow-up by the total number of TB patients. Binomial logistic regression models were computed and a spatial analysis was performed using a Bayesian framework. Estimates of parameters were generated using Markov chain Monte Carlo (MCMC) simulation. Geographic clustering was assessed using the Getis-Ord Gi* statistic, and global and local Moran's I statistics.

Results

A total of 223,244?TB patients were reported from 722 districts in Ethiopia during the study period. Of these, 63,556 (28.5%) were cured, 139,633 (62.4%) completed treatment, 6716 (3.0%) died, 1459 (0.7%) had treatment failure, and 12,200 (5.5%) were lost to follow-up. The overall prevalence of a poor TB treatment outcome was 9.0% (range, 1-58%). Hot-spots and clustering of poor TB treatment outcomes were detected in districts near the international borders in Afar, Gambelia, and Somali regions and cold spots were detected in Oromia and Amhara regions. Spatial clustering of poor TB treatment outcomes was positively associated with the proportion of the population with low wealth index (OR: 1.01; 95%CI: 1.0, 1.01), the proportion of the population with poor knowledge about TB (OR: 1.02; 95%CI: 1.01, 1.03), and higher annual mean temperature per degree Celsius (OR: 1.15; 95% CI: 1.08, 1.21).

Conclusions

This study showed significant spatial variation in poor TB treatment outcomes in Ethiopia that was related to underlying socioeconomic status, knowledge about TB, and climatic conditions. Clinical and public health interventions should be targeted in hot spot areas to reduce poor TB treatment outcomes and to achieve the national End-TB Strategy targets.

SUBMITTER: Alene KA

PROVIDER: S-EPMC6540408 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

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Mapping tuberculosis treatment outcomes in Ethiopia.

Alene Kefyalew Addis KA Viney Kerri K Gray Darren J DJ McBryde Emma S ES Wagnew Maereg M Clements Archie C A ACA

BMC infectious diseases 20190528 1

<h4>Background</h4>Tuberculosis (TB) is the leading cause of death from an infectious disease in Ethiopia, killing more than 30 thousand people every year. This study aimed to determine whether the rates of poor TB treatment outcome varied geographically across Ethiopia at district and zone levels and whether such variability was associated with socioeconomic, behavioural, health care access, or climatic conditions.<h4>Methods</h4>A geospatial analysis was conducted using national TB data report ...[more]

PMID: 31138129

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Project description:BackgroundOne of the global key indicators for monitoring the implementation of the World Health Organization's End Tuberculosis (TB) Strategy is the treatment outcome rate.ObjectiveThis study aims to assess the magnitude of unfavorable treatment outcomes and estimate their relationship with baseline undernutrition and sustained undernutrition among children receiving TB treatment in central Ethiopia.MethodsThis retrospective cohort study included children treated for drug-susceptible TB between June 2014 and February 2022. The study comprised children aged 16 and younger who were treated in 32 randomly selected healthcare facilities. A log-binomial model was used to compute adjusted risk ratios (aRR) with 95% confidence intervals (CIs).ResultsOf 640 children, 42 (6.6%; 95% CI = 4.8-8.8%) had an unfavorable TB treatment outcomes, with 31 (73.8%; 95% CI = 58.0-86.1%) occurring during the continuation phase of TB treatment. We confirmed that baseline undernutrition (aRR = 2.68; 95% CI = 1.53-4.71), age less than 10 years (aRR = 2.69; 95% CI = 1.56-4.61), HIV infection (aRR = 2.62; 95% CI = 1.50-4.59), and relapsed TB (aRR = 3.19; 95% CI = 1.79-4.71) were independent predictors of unfavorable TB treatment outcomes. When we looked separately at children who had been on TB treatment for two months or more, we found that sustained undernutrition (aRR = 3.76; 95% CI = 1.90-7.43), age below ten years (aRR = 2.60; 95% CI = 1.31-5.15), and HIV infection (aRR = 2.26; 95% CI = 1.11-4.59) remained predictors of unfavorable outcomes, just as they had in the first two months. However, the effect of relapsed TB became insignificant (aRR = 2.81; 95% CI = 0.96-8.22) after the first two months TB treatment.ConclusionsThe magnitude of unfavorable TB treatment outcomes among children in central Ethiopia met the World Health Organization's 2025 milestone. Nearly three-quarters of unfavorable TB treatment outcomes occurred during the continuation phase of TB treatment. Baseline undernutrition, sustained undernutrition, younger age, HIV infection, and relapsed TB were found to be independent predictors of unfavorable TB treatment outcomes among children receiving TB treatment in central Ethiopia.

Project description:IntroductionTuberculosis (TB), a major public health concern in Ethiopia, is distributed heterogeneously across the country. Mapping TB prevalence at national and subnational levels can provide information for designing and implementing control strategies. Data for spatial analysis can be obtained through systematic review of the literature, and spatial prediction can be done by meta-analysis of published data (geospatial meta-analysis). Geospatial meta-analysis can increase the power of spatial analytic models by making use of all available data. It can also provide a means for spatial prediction where new survey data in a given area are sparse or not available. In this report, we present a protocol for a geospatial meta-analysis to investigate the spatial patterns of TB prevalence in Ethiopia.Methods and analysisTo conduct this study, a national TB prevalence survey, supplemented with data from a systematic review of published reports, will be used as the source of TB prevalence data. Systematic searching will be conducted in PubMed, Scopus and Web of Science for studies published up to 15 April 2020 to identify all potential publications reporting TB prevalence in Ethiopia. Data for covariates for multivariable analysis will be obtained from different, readily available sources. Extracted TB survey and covariate data will be georeferenced to specific locations or the centroids of small administrative areas. A binomial logistic regression model will be fitted to TB prevalence data using both fixed covariate effects and random geostatistical effects based on the approach of model-based geostatistics. Markov Chain Monte Carlo simulation will be conducted to obtained posterior parameter estimations, including spatially predicted prevalence.Ethics and disseminationEthical approval will not be required for this study as it will be based on deidentified, aggregate published data. The final report of this review will be disseminated through publication in a peer-reviewed scientific journal and will also be presented at relevant conferences.

Project description:Data regarding tuberculosis (TB) treatment outcomes, proportion of TB/HIV co-infection and associated factors have been released at different TB treatment facilities in Ethiopia and elsewhere in the world as part of the auditing and surveillance service. However, these data are missing for the TB clinic offering directly observed treatment short-course (DOTs) at Debre Tabor General Hospital (DTGH).The authors analysed the records of 985 TB patients registered at the DTGH from September 2008 to December 2016. Data on patients' sex, age, type of TB, and treatment outcomes were extracted from the TB treatment registration logbook. The treatment outcome of patients was categorized according to the National TB and Leprosy Control Program guidelines: cured, treatment completed, treatment failed, died, and not evaluated (transferred out and unknown cases).Around half of the registered patients were males (516, 52.4%). In terms of TB types, 381 (38.7%), 241 (24.5%), and 363 (36.9%) patients had smear-negative pulmonary TB, smear-positive pulmonary TB, and extra pulmonary TB, respectively. Six hundred and seventy-two patients (90.1%) had successful treatment outcomes (cured and treatment completed), while 74 patients (9.9%) had unsuccessful treatment outcomes (death and treatment failure).TB treatment outcome was not associated with age, sex, type and history of TB, or co-infection with HIV (P > 0.05). The proportion of TB/HIV co-infection was at 24.2%, and these were found to be significantly associated with the age groups of 25-34, 35-44 and ≥65 years:(aOR: 0.44; 95% CI: 0.25-0.8), (aOR: 0.39; 95% CI: 0.20-0.70), (aOR: 4.2; 95% CI: 1.30-12.9), respectively.The proportion of patients with successful treatment outcomes was above the World Health Organization target set for Millennium Development Goal of 85% and in line with that of the global milestone target set at > 90% for 2025. Relatively higher proportions of transfer-out cases were recorded in the present study. Similarly, the proportion of TB/HIV co-infection cases was much higher than the national average of 8%.Thus, the health facility under study should develop strategies to record the final treatment outcome of transfer-out cases. In addition, strategies to reduce the burden of TB/HIV co-infection should be strengthened.

Project description:BackgroundAlthough it is a preventable and treatable disease, tuberculosis remains a major medical and public health problem throughout the world. The control and elimination of tuberculosis is currently challenged by the development and spread of antituberculosis drug resistance. The resistance is often correlated to the absence of properly implemented control measures that lead to poor treatment outcomes. Therefore, the aim of the current study was to assess poor treatment outcomes and its determinants among tuberculosis patients in selected health facilities in East Wollega zone, Western Ethiopia.MethodA five-year retrospective cross-sectional study design was employed. Data were collected from patients' medical record from January to March 2017. Data were entered and analyzed using SPSS version 20. Descriptive statistics were used to generate and summarize frequencies. Univariate and multivariate logistic regression analysis were used to associate the potential determinants of poor treatment outcomes.ResultsFrom 995 patients with documented treatment outcomes, 58.9% were males with a mean age of 31.9±16.3 years and 58% lived in rural areas. Majorities of cases (95.7%) were newly treated ones. Nearly half of the cases had extrapulmonary tuberculosis and 6.8% were co-infected with HIV. Nearly three-quarter of patients had completed their treatment while 17.2%, 2.9%, 4.8%, 0.4% patients were cured, defaulted, died, and failed, respectively. The overall treatment success rate was 91.9%. Being treated in Anger Gute health center (adjusted odds ratio (AOR): 2.27; 95% confidence interval (CI): 1.18-4.38); male (AOR: 1.81; 95% CI: 1.06-3.10); lived in rural areas (AOR: 1.73; 95% CI: 1.02-2.91); previously treated (AOR: 2.72; 95% CI: 1.16-6.39) and unknown HIV status (AOR: 4.56; 95% CI: 1.98-10.50) were determinants of poor treatment outcomes.ConclusionThe current treatment success rate was exceeded the recommended target. However, special attention and strict follow up is required for tuberculosis patients with high risk of unsuccessful treatment outcomes including male, rural resident, previously treated and unknown in HIV status patients throughout their treatment periods.

Project description:BackgroundSeverity of TB increases in refugee populations. Monitoring TB case notification and treatment outcomes are essential to improve the effectiveness of TB programs. This study aimed to investigate trends in TB case notification and treatment outcomes and explore factors associated with unsuccessful treatment outcome in refugee camps in Ethiopia.MethodsIn this retrospective cohort study, demographic and clinical data of all TB cases registered in 25 refugee camps in Ethiopia from January 2014 to December 2017 were extracted. Multivariate logistic regression was fitted to estimate odds ratios and corresponding 95% confidence intervals for the measure of association linked with factors significantly associated with unsuccessful treatment outcomes.ResultsA total of 1553 TB cases, mean age 27.7 years, were registered from 2014 to 2017. Of these notified cases 54.7% were men, 27.7% children (< 15 years), 71.2% pulmonary TB (PTB), 27.8% Extra-PTB (EPTB) and 98.3% new and relapse. From 2014 to 2017: there was consistent increase in number of notified TB cases (138 to 588 cases), in percentage of EPTB (23.2 to 32.7%), in contribution of children to total TB cases (18.8 to 30.1%) and to EPTB (40.6 to 65.1%), and in proportion of bacteriologically confirmed new and relapse pulmonary cases (43.8 to 64.8%). Treatment success rates for all TB cases remained lower at 72.7-79.4%. On average 24.8% had unfavorable treatment outcome, including 11.5% not evaluated, 8.0% LTFU, 4.8% died and 0.5% treatment failed. Unsuccessful treatment was significantly associated with pretreatment weight below 40 Kg, age over 45 years, and being HIV positive.ConclusionsThere was continuous increase in notified TB cases and in percentage of childhood TB. Proportion of bacteriologically confirmed new and relapse pulmonary cases increased overtime. TB treatment success remained lower than the national achievement in 2017 (96%) and global target (> = 90%), which needs improvement. The higher LTFU, not evaluated, and death suggests the need to strengthen adherence education and supervision. Special socio-economic support and monitoring is required for patients with pretreatment weight below 40 Kg, age over 45 years and HIV positives.

Project description:BackgroundDelayed presentation is a major problem contributing to the high burden and transmission of tuberculosis (TB) in developing countries. The delay may be due to patient delay if the patient visits health-facility for diagnosis after the onset of symptoms of more than 3 weeks or health system delay if the patient is not diagnosed and treated at the time of the first visit. Ethiopia, where no more than two-thirds of TB cases are detected is no exception. Therefore, the aim of this study was to assess delay in diagnosis of tuberculosis among patients taking anti-TB treatment in North Shoa Zone, Ethiopia.MethodsInstitution based cross-sectional study was conducted from 01 to 30 December 2017. All TB patients who took their treatment in the health facilities of the seven selected districts of North Shoa Zone were included. Data was entered into EPI INFO version 3.5.1 statistical software and transferred into SPSS version 20.0 for further analysis. Bivariate and multivariate analysis was used to identify associated factors for delayed TB diagnosis.ResultsOut of 170 tuberculosis patients included, 162 patients were studied with a response rate of 95.3%. The proportion of tuberculosis patients who had delayed diagnosis was 59.9%. The mean time of health-seeking after developing the symptom of tuberculosis was 7.6 weeks. Tuberculosis patients with extra pulmonary site involvements were about four times more likely to be delayed in seeking health services (OR: 4.00, 95% CI: 1.77-9.03) as compared to patients with pulmonary TB. New patients were about three times more likely to come lately for TB diagnosis (OR: 2.94, 95% CI: 1.26-6.84) as compared to patients who had previous-history of treatment. Patients who had no information about TB before they started TB treatment were also around three times to be delayed (OR: 3.37, 95% CI: 1.43-8.00) as compared to those who had the information.ConclusionsMore than 50% of TB patients reported in health-seeking relatively a longer time. Strengthening the health education activities for the community about tuberculosis and capacity building of the health care provider to increase suspicion of identifying tuberculosis and early diagnosis is crucial.

Project description:BackgroundDespite reported long delays to initiate anti-TB treatment and poor outcomes in different parts of Ethiopia and elsewhere, evidences on association between the delay and treatment outcomes are scanty.MethodsA follow up study among 735 new TB cases registered at health facilities in districts of southwest Ethiopia was conducted from January 2015 to June 2016. Patients reported days elapsed between onset of illness and treatment commencement of 30 days cutoff was considered to ascertain exposure. Thus, those elapsed beyond 30 days to initiate anti-TB treatment since onset of illness were exposed and otherwise non-exposed. The cases were followed until earliest outcome was observed. Treatment outcomes was ascertained as per the World Health Organization standard definitions and dichotomized into 'successful' when cured or treatment completed and 'unsuccessful' when lost to follow-up or died or treatment failure. Bivariate and multiple log-binomial models were fitted to identify predictors of unsuccessful outcomes.ResultsThe overall treatment success among the treatment cohort was 89.7% (88.4% vs. 94.2%, p = 0.01 respectively among those initiated treatment beyond and within of 30 days of onset of illness. Higher risk of unsuccessful outcome was predicted by treatment initiation beyond 30 days of onset [Adjusted Relative Risk (ARR) = 1.92, 95%CI:1.30, 2.81], HIV co-infection (ARR = 2.18, 95%CI:1.47, 3.25) and received treatment at hospital (ARR = 3.73, 95%CI:2.23, 6.25). On the other hand, lower risk of unsuccessful outcome was predicted by weight gain (ARR = 0.40, 95%CI:0.19, 0.83) and sputum smear negative conversion (ARR = 0.17,95% CI:0.09, 0.33) at the end of second month treatment.ConclusionHigher risk of unsuccessful outcome is associated with prolonged days elapsed between onset of illness and treatment commencement. Hence, promotion of early care seeking, improving diagnostic and case holding efficiencies of health facilities and TB/HIV collaborative interventions can reduce risk of unsuccessful outcome.

Project description:BackgroundTo end Tuberculosis (TB) by 2030, early detection and timely treatment of Drug-Resistant Tuberculosis (DR-TB) is vital. The role of rapid, accurate, and sensitive DR-TB diagnostic tool is indispensable to accelerate the TB control program. There are evidence breaks in the time difference and its effect on treatment outcomes among different DR-TB diagnostic tools in Ethiopia. This article aimed to compare the different DR-TB diagnostic tools with time pointers and evaluate their effect on the treatment outcomes.MethodWe performed a retrospective chart review of 574 DR-TB patients from September 2010 to December 2017 to compare the impact of molecular DR-TB diagnostic tests (Xpert MTB/RIF, Line Probe Assay (LPA), and solid culture-based Drug Susceptibility Testing (DST)) on time to diagnosis, treatment initiation, and treatment Outcomes. Kruskual-Wallis test was employed to assess the presence of a significant difference in median time among the DR-TB diagnostic tests. Chi-Square and Fisher exact tests were used to test the presence of relations between treatment outcome and diagnostic tests.ResultThe data of 574 DR-TB patients were included in the analysis. From these, 321, 173, and 80 patients were diagnosed using Xpert MTB/RIF, Line Probe Assay (LPA), and solid culture-based DST, respectively. The median time in a day with (Interquartile range (IQR)) for Xpert MTB/RIF, LPA, and solid culture-based DST was from a first care-seeking visit to diagnosis: 2(0, 9), 4(1, 55), and 70(18, 182), from diagnosis to treatment initiation: 3(1, 8), 33(4, 76), and 44(9, 145), and from a first care-seeking visit to treatment initiation: 4(1, 11), 3(1, 12) and 76(3.75, 191) respectively. The shorter median time was observed in the Xpert MTB/RIF followed by the LPA, and this was statistically significant with a p-value <0.001. There was no statistically significant difference concerning treatment outcomes among the three DST tests.ConclusionXpert MTB/RIF can mitigate the transmission of DR-TB significantly via quick diagnosis and treatment initiation followed by LPA as equating to the solid culture base DST, particularly in smear-positive patients. However, we didn't see a statistically significant impact in terms of treatment outcomes. Xpert MTB/RIF can be used as the first test to diagnose DR-TB by further complimenting solid culture base DST to grasp the drug-resistance profile.

Dataset Information

Mapping tuberculosis treatment outcomes in Ethiopia.

Background

Methods

Results

Conclusions

Publications

Mapping tuberculosis treatment outcomes in Ethiopia.

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