Tuberculosis (TB), a disease of poverty and inequality, is a leading cause of severe illness and death among people with human immunodeficiency virus (HIV). In South Africa, both TB and HIV epidemics have been closely related and persistent, posing a significant burden for healthcare provision. Studies have observed that TB-HIV integration reduces mortality. The operational implementation of integrated services is still challenging. This study aimed to describe patients’ perceptions on barriers to scaling up of TB-HIV integration services at selected health facilities (study sites) in Oliver Reginald (O.R) Tambo Municipality, Eastern Cape province, South Africa. We purposely recruited twenty-nine (29) patients accessing TB and HIV services at the study sites. Data were analyzed using qualitative content analysis and presented as emerging themes. Barriers identified included a lack of health education about TB and HIV; an inadequate counselling for HIV and the antiretroviral drugs (ARVs); and poor quality of services provided by the healthcare facilities. These findings suggest that the O.R. Tambo district needs to strengthen its TB-HIV integration immediately.
Background This study investigated the associations between socio-economic deprivation and tuberculosis (TB) treatment outcomes, alongside well-known TB risk factors. The effects of healthcare expenditures and their growth on trends in TB incidence from 2009 to 2013 were also assessed. Methods Secondary data analysis was performed on data obtained from various sources including governmental, non-governmental and research institutions. Indicators for TB treatment outcomes included TB death rate, TB rate among the household contacts of the Index TB cases, TB treatment failure, HIV associated TB death rate, TB defaulter rate, and new TB smear positive cases. Analysis of variance (ANOVA) and Turkey’s tests for post-hoc analysis were used to compare means of variables of interest considering a type I error rate of 0.05. Regression models and canonical discriminant analysis (CDA) were used to explore the associations between trends in TB incidence and independent TB predictors. During CDA, Fischer’s linear functions, Eigen values, and Mahalanobis distances were determined with values of Wilk’s Lambda closer to zero being the evidence for well discriminated patient groups. Data analysis was performed using SPSS® statistical software version 23.0 (Chicago, IL). Results In total, 62 400 records of TB notification were analyzed for the period 2009–2013. The average TB incidence rate over a 5-year period was 298 cases per 100,000 inhabitants per year. The incidence of TB was reduced by 79.70% at the end of the evaluation as compared to the baseline data in 2009. Multiple linear regression analysis showed that the Expenditure per patient day equivalent (PDE) and PHC expenditure per capita were significantly and independently associated with the decline of TB incidence (adjusted R2 = 60%; ρ = 0.002) following the equation: Y = (- 209× Expenditure per PDE) + (- 0.191 × PHC expenditure per capita). CDA showed that in the most socio-economically deprived communities (quintile 1), HIV associated TB death rates were significantly more likely to be higher as compared to the least socio-economically deprived group (quintile 5) [Eigen value (12.95), function coefficient (1.49) > (.77); Wilk’s Lambda = .019, p < .0001]. Conclusions Although TB control programs in OR Tambo district have averted thousands of TB incident cases, their effects on HIV associated TB deaths among the most deprived communities remain insignificant. There is an urgent need for strengthening integration of TB/HIV services in most deprived settings.
Background Tuberculosis is the leading infectious cause of death among people living with HIV. Reducing morbidity and mortality from HIV-associated TB requires strong collaboration between TB and HIV services at all levels with fully integrated, people-centered models of care. Methods This is a qualitative study design using principles of ethnography and the application of aggregate complexity theory. A total of 54 individual interviews with healthcare workers and patients took place in five primary healthcare facilities in the O.R. Tambo district. The participants were purposively selected until the data reached saturation point, and all interviews were tape-recorded. Quantitative analysis of qualitative data was used after coding ethnographic data, looking for emerging patterns, and counting the number of times a qualitative code occurred. A Likert scale was used to assess the perceived quality of TB/HIV integration. Regression models and canonical discriminant analyses were used to explore the associations between the perceived quality of TB and HIV integrated service delivery and independent predictors of interest using SPSS® version 23.0 (Chicago, IL) considering a type I error of 0.05. Results Of the 54 participants, 39 (72.2%) reported that TB and HIV services were partially integrated while 15 (27.8%) participants reported that TB/HIV services were fully integrated. Using the Likert scale gradient, 23 (42.6%) participants perceived the quality of integrated TB/HIV services as poor while 13 (24.1%) and 18 (33.3%) perceived the quality of TB/HIV integrated services as moderate and excellent, respectively. Multiple linear regression analysis showed that access to healthcare services was significantly and independently associated with the perceived quality of integrated TB/HIV services following the equation: Y = 3.72–0.06X (adjusted R2 = 23%, p-value = 0.001). Canonical discriminant analysis (CDA) showed that in all 5 municipal facilities, long distances to healthcare facilities leading to reduced access to services were significantly more likely to be the most impeding factor, which is negatively influencing the perceived quality of integrated TB/HIV services, with functions’ coefficients ranging from 9.175 in Mhlontlo to 16.514 in KSD (Wilk’s Lambda = 0.750, p = 0.043). Conclusion HIV and TB integration is inadequate with limited access to healthcare services. Full integration (one-stop-shop services) is recommended.
Few studies have examined the pros and cons of integrated TB and HIV service delivery in public healthcare facilities, and even fewer have proposed conceptual models for improved integration. This study intends to fill that vacuum by outlining the development of a facility-based paradigm for integrating TB, HIV and patients services. The design of the proposed model were in stages that involved the evaluation of existing TB-HIV integration model and synthesis of both quantitative and qualitative data from the study sites which were selected public healthcare facilities at both rural and peri-urban settings in Oliver Reginald (O.R) Tambo District Municipality in Eastern Cape, South Africa. Secondary data on 2009-2013 TB-HIV clinical outcomes were obtained from multiple sources for quantitative analysis. Qualitative data involved focus group discussions among patient and heath care staff, which was thematically analysed. The development of a possibly better model and validation of this model show that the district's health system was reinforced by the model's guiding principles, which placed a strong emphasis on inputs, processes, outcomes, and integration effects.The model is adaptable to different healthcare delivery systems but will require support from healthcare stakeholders and professionals to be successful.
Background Tuberculosis is the leading infectious cause of death among people living with HIV. Reducing morbidity and mortality from HIV-associated TB requires strong collaboration between TB and HIV services at all levels with full-integrated people-centred models of care. Methods This is a qualitative study design using principles of ethnography and application of the aggregate complexity theory. A total of 54 individual interviews with health care workers and patients took place in 5 primary healthcare facilities in O.R Tambo district. The participants were purposively selected until data reached saturation point, and all interviews were tape-recorded. Quantitative analysis of qualitative data was used after coding ethnographic data, looking for emerging patterns, and counting the number of times a qualitative code occurred. A Likert scale was used to assess perceived quality of TB/HIV integration. Regression models and canonical discriminant analysis were used to explore the associations between perceived quality of TB and HIV integrated service delivery and independent predictors of interest using SPSS® version 23.0 (Chicago, IL) considering a type I error of 0.05. Result Of the 54 participants, 39 (72.2%) reported that TB and HIV services were partially integrated while 15 (27.8%) participants reported that TB/HIV services were fully integrated. Using Likert scale gradient, 23 (42.6%) participants perceived quality of integrated TB/HIV services as poor while 13 (24.1%) and 18 (33.3%) perceived quality of TB/HIV integrated services as moderate and excellent, respectively. Multiple linear regression analysis showed that the access to healthcare services was significantly and independently associated with the perceived quality of integrated TB/HIV services following the equation: Y = 3.72–0.06X (adjusted R2 = 23%, p-value = 0.001). Canonical discriminant analysis (CDA) showed that in all 5 municipal facilities, long distances to healthcare facilities leading to reduced access to services were significantly more likely to be the most impeding factor which is negatively influencing the perceived quality of integrated TB/HIV services with functions’ coefficients ranging from 9.175 in Mhlontlo to 16.514 in KSD (Wilk’s Lambda = .750, p = .043). Conclusion HIV and TB integration is inadequate with limited accessibility. Full integration (one-stop shop services) is recommended.
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