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OBJECTIVES: To assess the yield and cost of implementing systematic screening for tuberculosis (TB) disease among people living with HIV (PLHIV) and initiation of TB preventive treatment (TPT) in Ghana. DESIGN: Prospective cohort study from August 2019 to December 2020. SETTING: One hospital from each of Ghana's regions (10 total). PARTICIPANTS: Any PLHIV already receiving or newly initiating antiretroviral treatment were eligible for inclusion. INTERVENTIONS: All participants received TB symptom screening and chest radiography. Those with symptoms and/or an abnormal chest X-ray provided a sputum sample for microbiological testing. All without TB disease were offered TPT. PRIMARY AND SECONDARY OUTCOME MEASURES: We estimated the proportion diagnosed with TB disease and proportion initiating TPT. We used logistic regression to identify factors associated with TB disease diagnosis. We used microcosting to estimate the health system cost per person screened (2020 US$). RESULTS: Of 12 916 PLHIV attending participating clinics, 2639 (20%) were enrolled in the study and screened for TB disease. Overall, 341/2639 (12.9%, 95% CI 11.7% to 14.3%) had TB symptoms and/or an abnormal chest X-ray; 50/2639 (1.9%; 95% CI 1.4% to 2.5%) were diagnosed with TB disease, 20% of which was subclinical. In multivariable analysis, only those newly initiating antiretroviral treatment were at increased odds of TB disease (adjusted OR 4.1, 95% CI 2.0 to 8.2). Among 2589 participants without TB, 2581/2589 (99.7%) initiated TPT. Overall, the average cost per person screened during the study was US$57.32. CONCLUSION: In Ghana, systematic TB disease screening among PLHIV was of high yield and modest cost when combined with TPT. Our findings support WHO recommendations for routine TB disease screening among PLHIV.
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Infecciones por VIH , Tamizaje Masivo , Humanos , Ghana/epidemiología , Femenino , Infecciones por VIH/complicaciones , Infecciones por VIH/tratamiento farmacológico , Masculino , Adulto , Proyectos Piloto , Tamizaje Masivo/economía , Tamizaje Masivo/métodos , Estudios Prospectivos , Persona de Mediana Edad , Tuberculosis/prevención & control , Tuberculosis/diagnóstico , Tuberculosis/epidemiología , Antirretrovirales/uso terapéuticoRESUMEN
BACKGROUND: Reliable and detailed data on the prevalence of tuberculosis (TB) with sub-national estimates are scarce in Ethiopia. We address this knowledge gap by spatially predicting the national, sub-national and local prevalence of TB, and identifying drivers of TB prevalence across the country. METHODS: TB prevalence data were obtained from the Ethiopia national TB prevalence survey and from a comprehensive review of published reports. Geospatial covariates were obtained from publicly available sources. A random effects meta-analysis was used to estimate a pooled prevalence of TB at the national level, and model-based geostatistics were used to estimate the spatial variation of TB prevalence at sub-national and local levels. Within the MBG Plugin Framework, a logistic regression model was fitted to TB prevalence data using both fixed covariate effects and spatial random effects to identify drivers of TB and to predict the prevalence of TB. RESULTS: The overall pooled prevalence of TB in Ethiopia was 0.19% [95% confidence intervals (CI): 0.12%-0.28%]. There was a high degree of heterogeneity in the prevalence of TB (I2 96.4%, P <0.001), which varied by geographical locations, data collection periods and diagnostic methods. The highest prevalence of TB was observed in Dire Dawa (0.96%), Gambela (0.88%), Somali (0.42%), Addis Ababa (0.28%) and Afar (0.24%) regions. Nationally, there was a decline in TB prevalence from 0.18% in 2001 to 0.04% in 2009. However, prevalence increased back to 0.29% in 2014. Substantial spatial variation of TB prevalence was observed at a regional level, with a higher prevalence observed in the border regions, and at a local level within regions. The spatial distribution of TB prevalence was positively associated with population density. CONCLUSION: The results of this study showed that TB prevalence varied substantially at sub-national and local levels in Ethiopia. Spatial patterns were associated with population density. These results suggest that targeted interventions in high-risk areas may reduce the burden of TB in Ethiopia and additional data collection would be required to make further inferences on TB prevalence in areas that lack data.
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Tuberculosis , Humanos , Etiopía/epidemiología , Prevalencia , Tuberculosis/epidemiología , Modelos Logísticos , Densidad de PoblaciónRESUMEN
BACKGROUND: Tuberculosis (TB) remains a major public health threat in Ghana. The impact of COVID-19 resulted in a 15% decline of TB case notification in 2020 compared to 2019. To mitigate the impact on TB services, the Ghana National Tuberculosis Programme (NTP) introduced the bidirectional screening and testing for TB and COVID-19 in 2021. OBJECTIVE: To evaluate the yield of bidirectional screening and testing for TB and COVID-19 among facility attendees in the Greater Accra region. METHOD: We used secondary data obtained from the initial implementation stage of the bidirectional testing for TB and COVID-19 among COVID-19 and/or TB presumed cases in five health facilities in the Greater Accra Region from January to March 2021. To mitigate the impact of COVID-19 on TB services and accelerate TB case detection, the NTP of Ghana introduced bidirectional screening and testing for TB and COVID-19 in Greater Accra Region before scaling up at national level. RESULTS: A total of 208 presumed TB or COVID-19 cases were identified: 113 were tested for COVID-19 only, and 94 were tested for both TB and COVID-19, 1 was tested for TB only. Among presumed cases tested for COVID-19, 9.7% (95% CI, 5.6-13.7%) were tested positive. Whilst among the total presumed tested for TB, 13.7% (95% CI, 6.8-20.6%) were confirmed to have TB. Among the total 94 presumed cases tested for both TB and COVID-19, 11.7% (95% CI, 5.2-18.2%) were confirmed to have TB and 13.8% (95% CI, 6.9-20.8%) participants were COVID-19 positive and one participant (1.1%) had both COVID-19 and TB. CONCLUSION: Bidirectional screening and testing for TB and COVID-19 shows significant potential for improving overall case detection for the two diseases. The bidirectional screening and testing could be applicable to address a similar respiratory epidemic in the future that might have a masking effect on the response to TB disease.
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COVID-19 , Tuberculosis , Humanos , Ghana/epidemiología , Pacientes Ambulatorios , COVID-19/diagnóstico , COVID-19/epidemiología , Tuberculosis/diagnóstico , Tuberculosis/epidemiología , Instituciones de SaludRESUMEN
INTRODUCTION: Tuberculosis (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 ANALYSIS: To 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 DISSEMINATION: Ethical 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.