Treatment Outcomes of Tuberculosis in the Eastern Cape: Clinical and Socio-Demographic Predictors from Two Rural Clinics

<b>Background</b>: Tuberculosis (TB) remains a leading cause of morbidity and mortality, with South Africa among the highest-burden countries. The Eastern Cape is particularly affected due to poverty, HIV co-infection, and weak health systems. Understanding treatment outcomes and their determinants is required to achieve the WHO End TB Strategy targets. The objective of this study was to examine treatment outcomes for tuberculosis (TB) in both rural and urban clinics within the Eastern Cape Province. We aimed to identify the socio-demographic, clinical, and geographic factors that influence treatment success or failure. We included simple geographic visualisations comparing treatment outcomes between the two participating clinics to inform the development of targeted interventions aimed at enhancing TB control efforts. <b>Methods</b>: A retrospective cohort study of 385 TB patients treated at two public clinics in the Eastern Cape (2020-2024) was conducted. Socio-demographic, clinical, and geographical data were extracted from records. Outcomes were classified using WHO and South African National TB Programme guidelines. Logistic regression identified predictors of success, and spatial analysis mapped treatment outcomes. <b>Results</b>: The mean patient age was 40.6 years; 69.1% were HIV-positive, and 89.9% had pulmonary TB. The overall treatment success rate was 63.8%, below the WHO target of ≥85%. Pulmonary TB was independently associated with greater odds of success (aOR = 2.86, 95% CI: 1.23-6.65), while older age predicted poorer outcomes (aOR = 0.98, 95% CI: 0.963-0.998). HIV status and socioeconomic variables were not independently associated after adjustment, although poverty and unemployment were widespread. Spatial mapping showed clustering of poor outcomes in specific clinics, highlighting geographic and health system disparities. <b>Conclusions</b>: TB treatment outcomes in the Eastern Cape remain unsatisfactory. Older patients and those with extrapulmonary TB face higher risks of unfavourable outcomes, underscoring the need for closer monitoring and adherence support. Integrated TB/HIV care, social protection, and geographically targeted interventions are essential to strengthen health systems and reduce inequalities.

Authors

Institutions

Publication Details

Journal
International Journal of Environmental Research and Public Health
Published
2025-11-29
DOI
https://doi.org/10.3390/ijerph22121804
Citations
1
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
1.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Treatment Outcomes of Tuberculosis in the Eastern Cape: Clinical and Socio-Demographic Predictors from Two Rural Clinics

Ntandazo Dlatu, Ncomeka Sineke, Teke Ruffin Apalata, Evidence L. Nxumalo
1 citations
International Journal of Environmental Research and Public Health
Tuberculosis Research and Epidemiology
1.40
article

Treatment Outcomes of Tuberculosis in the Eastern Cape: Clinical and Socio-Demographic Predictors from Two Rural Clinics

Ntandazo Dlatu, Ncomeka Sineke, Teke Ruffin Apalata, Evidence L. Nxumalo
article en
1 citations

Abstract

<b>Background</b>: Tuberculosis (TB) remains a leading cause of morbidity and mortality, with South Africa among the highest-burden countries. The Eastern Cape is particularly affected due to poverty, HIV co-infection, and weak health systems. Understanding treatment outcomes and their determinants is required to achieve the WHO End TB Strategy targets. The objective of this study was to examine treatment outcomes for tuberculosis (TB) in both rural and urban clinics within the Eastern Cape Province. We aimed to identify the socio-demographic, clinical, and geographic factors that influence treatment success or failure. We included simple geographic visualisations comparing treatment outcomes between the two participating clinics to inform the development of targeted interventions aimed at enhancing TB control efforts. <b>Methods</b>: A retrospective cohort study of 385 TB patients treated at two public clinics in the Eastern Cape (2020-2024) was conducted. Socio-demographic, clinical, and geographical data were extracted from records. Outcomes were classified using WHO and South African National TB Programme guidelines. Logistic regression identified predictors of success, and spatial analysis mapped treatment outcomes. <b>Results</b>: The mean patient age was 40.6 years; 69.1% were HIV-positive, and 89.9% had pulmonary TB. The overall treatment success rate was 63.8%, below the WHO target of ≥85%. Pulmonary TB was independently associated with greater odds of success (aOR = 2.86, 95% CI: 1.23-6.65), while older age predicted poorer outcomes (aOR = 0.98, 95% CI: 0.963-0.998). HIV status and socioeconomic variables were not independently associated after adjustment, although poverty and unemployment were widespread. Spatial mapping showed clustering of poor outcomes in specific clinics, highlighting geographic and health system disparities. <b>Conclusions</b>: TB treatment outcomes in the Eastern Cape remain unsatisfactory. Older patients and those with extrapulmonary TB face higher risks of unfavourable outcomes, underscoring the need for closer monitoring and adherence support. Integrated TB/HIV care, social protection, and geographically targeted interventions are essential to strengthen health systems and reduce inequalities.

International Journal of Environmental Research and Public HealthVol. 22(12)
Walter Sisulu University (ZA)
Openalex Percentile: Top 14%
Tuberculosis Research and Epidemiology
1.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.