2026-09-23T15:15:59Zhttps://univendspace.univen.ac.za/server/oai/requestoai:univendspace.univen.ac.za:11602/22682024-09-10T14:38:59Zcom_11602_1909com_11602_1899com_11602_1894com_11602_737col_11602_2121col_11602_738
Mabunda, J. T.
Samie, A.
Mamba, Gugu Glorance
2021
2022-09-14T14:17:32Z
2022-09-14T14:17:32Z
2022-07-15
Mamba, G. G. (2021) Factors associated with mortality among Tuberculosis patients on treatment in Limpopo Province, South Africa, from 2013 to 2018. University of Venda. South Africa.<http://hdl.handle.net/11602/2268>.
http://hdl.handle.net/11602/2268
Mamba GG. Factors associated with mortality among Tuberculosis patients on treatment in Limpopo Province, South Africa, from 2013 to 2018. []. , 2022 [cited yyyy month dd]. Available from: http://hdl.handle.net/11602/2268
Mamba, G. G. (2022). <i>Factors associated with mortality among Tuberculosis patients on treatment in Limpopo Province, South Africa, from 2013 to 2018</i>. (). . Retrieved from http://hdl.handle.net/11602/2268
Mamba, Gugu Glorance. <i>"Factors associated with mortality among Tuberculosis patients on treatment in Limpopo Province, South Africa, from 2013 to 2018."</i> ., , 2022. http://hdl.handle.net/11602/2268
TY - Dissertation
AU - Mamba, Gugu Glorance
AB - Background
Tuberculosis is among the leading causes of morbidity and mortality worldwide, despite the
availability and implementation of directly-observed treatment, and all other intervention
strategies for its treatment; more than 70% of deaths among tuberculosis patients occurs
during the first 2 months of treatment. This study, therefore, aims at identifying factors that
contribute to death among tuberculosis patients during treatment, in Limpopo Province, South
African, between 2013 and 2018.
Method
A quantitative retrospective cohort study design, using secondary data was applied. Data on
all patients who were registered for tuberculosis treatment in the Province from 2013 to 2018
was extracted from the electronic tuberculosis register (ETR.Net) into an excel spread sheet;
Statistical Package Social Science version 20, and Statistics and Data version 12 were used
for analysis. As part of the descriptive statistics, the Chi square test (χ2) was used to
establish the association between other variables and the main outcome - death. Summary
tables described the variables in terms of their frequency and univariate, as well as
multivariate models were developed in order to identify the factors that significantly impacted
on the death of these patients.
Results
A total of 79589 patient‟s records were selected for the study; of these 48892 (61.4%) were
HIV positive. Their treatment outcomes showed that patients cured were 80.6%, died were
12.5% (which is still high), the defaulted were 5.7%, the MDR cases were 0.2, the Rifampicin
resistance were 0.3% and 0.6% for treatment failure. There is a gradual decrease in the
death rate, from 2013 at 14.7 % to 7.4% in 2018. There was a statistically significant
association between death and gender. The mortality rate among the male gender was
12.8% and for the female gender was 12.2%, with a Chi square value of 4.4 and a p value of
0.032. There was a clear association between CD4 cell count range among TB patients and
mortality. The mortality among TB patient with a CD4 count less than 50 was 20.4%, which
V
was the highest and the difference was statistically significant with a p value less than 0.0001.
Mortality among the other groups was much lower and decreased progressively with the
lowest mortality rate among those with a CD4 cell count higher than 350 at 3.3%. The
Kaplan-Meier Survival analysis provides special techniques that are required to compare the
risks for death associated with different groups (in this case, HIV positive and HIV negative
patients) where the risk changes over time in measuring survival time. The case processing
summary shows that the number of events in both HIV negative and HIV positive groups
were almost similar and 91.5% of the HIV negative were censored as compared to 85%.
Discussion
A retrospective review of data collected on patients receiving anti-TB treatment was
conducted in Limpopo Province where TB incidence rate is the highest compare to all
provinces of South Africa. A low treatment success rate was observed in this study; the
treatment outcomes showed that patients cured were 80, 6 %, and patients who died were
12, 5%. In Cameroon, patients‟ treatment success outcome was 76.4% and 6.9% died. There
was a statistical significant association between death and gender. The gender that had high
mortality among TB patients on treatment, between the years 2013 -2017 was the male
gender.
DA - 2022-07-15
DB - ResearchSpace
DP - Univen
KW - Tuberculosis
KW - Morbidity
KW - Mortality
KW - Tuberculosis patients
KW - Treatment
KW - HIV
KW - AIDS
LK - https://univendspace.univen.ac.za
PY - 2022
T1 - Factors associated with mortality among Tuberculosis patients on treatment in Limpopo Province, South Africa, from 2013 to 2018
TI - Factors associated with mortality among Tuberculosis patients on treatment in Limpopo Province, South Africa, from 2013 to 2018
UR - http://hdl.handle.net/11602/2268
ER -
MPH
Department of Public Health
Background
Tuberculosis is among the leading causes of morbidity and mortality worldwide, despite the
availability and implementation of directly-observed treatment, and all other intervention
strategies for its treatment; more than 70% of deaths among tuberculosis patients occurs
during the first 2 months of treatment. This study, therefore, aims at identifying factors that
contribute to death among tuberculosis patients during treatment, in Limpopo Province, South
African, between 2013 and 2018.
Method
A quantitative retrospective cohort study design, using secondary data was applied. Data on
all patients who were registered for tuberculosis treatment in the Province from 2013 to 2018
was extracted from the electronic tuberculosis register (ETR.Net) into an excel spread sheet;
Statistical Package Social Science version 20, and Statistics and Data version 12 were used
for analysis. As part of the descriptive statistics, the Chi square test (χ2) was used to
establish the association between other variables and the main outcome - death. Summary
tables described the variables in terms of their frequency and univariate, as well as
multivariate models were developed in order to identify the factors that significantly impacted
on the death of these patients.
Results
A total of 79589 patient‟s records were selected for the study; of these 48892 (61.4%) were
HIV positive. Their treatment outcomes showed that patients cured were 80.6%, died were
12.5% (which is still high), the defaulted were 5.7%, the MDR cases were 0.2, the Rifampicin
resistance were 0.3% and 0.6% for treatment failure. There is a gradual decrease in the
death rate, from 2013 at 14.7 % to 7.4% in 2018. There was a statistically significant
association between death and gender. The mortality rate among the male gender was
12.8% and for the female gender was 12.2%, with a Chi square value of 4.4 and a p value of
0.032. There was a clear association between CD4 cell count range among TB patients and
mortality. The mortality among TB patient with a CD4 count less than 50 was 20.4%, which
V
was the highest and the difference was statistically significant with a p value less than 0.0001.
Mortality among the other groups was much lower and decreased progressively with the
lowest mortality rate among those with a CD4 cell count higher than 350 at 3.3%. The
Kaplan-Meier Survival analysis provides special techniques that are required to compare the
risks for death associated with different groups (in this case, HIV positive and HIV negative
patients) where the risk changes over time in measuring survival time. The case processing
summary shows that the number of events in both HIV negative and HIV positive groups
were almost similar and 91.5% of the HIV negative were censored as compared to 85%.
Discussion
A retrospective review of data collected on patients receiving anti-TB treatment was
conducted in Limpopo Province where TB incidence rate is the highest compare to all
provinces of South Africa. A low treatment success rate was observed in this study; the
treatment outcomes showed that patients cured were 80, 6 %, and patients who died were
12, 5%. In Cameroon, patients‟ treatment success outcome was 76.4% and 6.9% died. There
was a statistical significant association between death and gender. The gender that had high
mortality among TB patients on treatment, between the years 2013 -2017 was the male
gender.
NRF
1onlile resource (xii, 56 leaves) : color illustrations, color map
en
University of Venda
Tuberculosis
UCTD
Morbidity
Mortality
Tuberculosis patients
Treatment
HIV
AIDS
362.1969950968257
Tuberculosis -- South Africa -- Limpopo
Tuberculosis -- Patients -- South Africa -- Limpopo
Chest -- Disease
Lungs - Disease
Mortality -- South Africa -- Limpopo
Factors associated with mortality among Tuberculosis patients on treatment in Limpopo Province, South Africa, from 2013 to 2018
Dissertation
open.access