13 research outputs found

    An investigation into the psychosocial factors associated with willingness to test for HIV among a sample of first year psychology students at a South African tertiary institution.

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    Thesis (M.A.)-University of KwaZulu-Natal, Pietermaritzburg, 2006.HIV/AIDS has exacted a devastating death toll on sub-Saharan Africa. Of the African countries South Africa has been the hardest hit by the epidemic. Young people between the ages 15-24 have been identified as the group most at risk for contracting HIV. The introduction of highly active antiretroviral therapy (HAART) has been shown to decrease opportunistic infections and increase lifespan and quality of life of HIV infected people. VCT is an entry point to accessing life saving treatment as well as psycho-emotional and social support. A concern is that not all people who are at risk for VCT get tested. It is important to examine which psychosocial factors affect the uptake of VCT. A questionnaire that measures willingness to test for HlV and various other psychosocial and socio-demographic factors affecting VCT uptake, was administered to a group of first year psychology students, (N= 181). Chi Square (X2 ) analysis determined that knowledge of HIV transmission, knowledge of VCT, fear of testing, perceived social support and perceived social stigma were significantly associated with willingness to test for HIV (

    The association of organizational contextual factors and HIV-Tuberculosis service integration following exposure to quality improvement interventions in primary healthcare clinics in rural KwaZulu-Natal.

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    Doctoral Degree. University of KwaZulu-Natal, Durban.A key strategy to reduce Tuberculosis (TB)-related mortality among people living with HIV is integrating HIV and TB diagnostic and treatment services. In South Africa, integrated HIV-TB service provision is standard of care, however, there is evidence that patients accessing primary healthcare clinics (PHC) are missed for HIV and TB testing and screening, diagnosis, linkage to treatment, and preventive services. Gaps in the HIV-TB care cascade are indicative of weaknesses in healthcare systems at the frontline. Quality Improvement (QI) collaboratives are a widely adopted approach to facilitating improvement among multiple clinics and scaling up best practices to improve on a given health topic. Little is known of the effectiveness of QI collaboratives and less is known of the role of organizational contextual factors (OCFs) in influencing the success of QI collaboratives to improve integrated HIV-TB services. Scaling up TB/HIV Integration (SUTHI) was a cluster-randomised trial designed to test the effectiveness of a QI intervention to enhance integrated HIV-TB services on mortality in HIV, TB, and HIV-TB patients. The study was from 01 December 2016-31 December 2018. Sixteen nurse supervisors (clusters) overseeing 40 PHC clinics were randomized (1:1) to receive either a structured QI intervention (QI group), which comprised, clinical training, three QI workshops timed at 6-month intervals, and in-person mentorship visits; or standard of care (SOC group) supervision and support for HIV-TB service delivery. This PhD project was a nested sub-study embedded in the SUTHI trial which aimed to describe and assess the influence of OCFs on the QI intervention to improve process indicators of HIV-TB services. A description of the QI intervention, including change ideas generated and lessons learned from practical application of the intervention in 20 QI clinics are presented in Paper I. Baseline performance of indicators was highlighted as important in influencing the size of improvements. OCFs that undermined the QI process were poor data quality, data capturing backlogs, lack of data analytic skills among clinic staff, poor transfer of training knowledge to peers, low clinic staff motivation to consistently track performance and limited involvement of the clinic management team in QI activities due to heavy workloads. A comparison between the QI and SOC group clinics showed that the QI intervention was only effective in improving two of five HIV-TB indicators, HIV testing services (HTS) andIsoniazid Preventive Therapy (IPT) initiation rates in new antiretroviral therapy patients. HTS was 19% higher (94.5% versus (vs) 79.6%; Relative Risk (RR)=1.19; 95% CI:1.02% - 1.38%; p=0.029) and IPT initiation was 66% higher (61.2% vs 36.8%; RR=1.66; 95% CI:1.02% -2.72%; p=0.044), in the QI group compared to the SOC group. Small clusters showed larger improvements in IPT initiation rates compared to big clusters, likely due to better coordination of efforts (Paper II). Several OCFs were quantitatively assessed and inserted into a linear mixed model to determine which factors likely influenced the improvement observed in the IPT initiation rates (Paper III). The practice of monitoring data for improvement was significantly associated with higher IPT initiation rates (Beta coefficient (β)=0.004; p=0.004). The main recommendations made from the PhD project are to encourage the practice of monitoring data for improvement among clinic teams; provision of widespread QI training for all levels of staff, different staff categories and leadership; to ensure good quality of routine data, and provision of regular performance feedback from upper management to the clinics

    Mortality in HIV and tuberculosis patients following implementation of integrated HIV-TB treatment: Results from an open-label cluster-randomized trial

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    Background: HIV-TB treatment integration reduces mortality. Operational implementation of integrated services is challenging. This study assessed the impact of quality improvement (QI) for HIV-TB integration on mortality within primary healthcare (PHC) clinics in South Africa. // Methods: An open-label cluster randomized controlled study was conducted between 2016 and 2018 in 40 rural clinics in South Africa. The study statistician randomized PHC nurse-supervisors 1:1 into 16 clusters (eight nurse-supervisors supporting 20 clinics per arm) to receive QI, supported HIV-TB integration intervention or standard of care (control). Nurse supervisors and clinics under their supervision, based in the study health districts were eligible for inclusion in this study. Nurse supervisors were excluded if their clinics were managed by municipal health (different resource allocation), did not offer co-located antiretroviral therapy (ART) and TB services, services were performed by a single nurse, did not receive non-governmental organisation (NGO) support, patient data was not available for > 50% of attendees. The analysis population consists of all patients newly diagnosed with (i) both TB and HIV (ii) HIV only (among patients previously treated for TB or those who never had TB before) and (iii) TB only (among patients already diagnosed with HIV or those who were never diagnosed with HIV) after QI implementation in the intervention arm, or enrolment in the control arm. Mortality rates was assessed 12 months post enrolment, using unpaired t-tests and cox-proportional hazards model. (Clinicaltrials.gov, NCT02654613, registered 01 June 2015, trial closed). // Findings: Overall, 21 379 participants were enrolled between December 2016 and December 2018 in intervention and control arm clinics: 1329 and 841 HIV-TB co-infected (10·2%); 10 799 and 6 611 people living with Human Immunodeficiency Virus (HIV)/ acquired immunodeficiency syndrome (AIDS) (PLWHA) only (81·4%); 1 131 and 668 patients with TB only (8·4%), respectively. Average cluster sizes were 1657 (range 170–5782) and 1015 (range 33–2027) in intervention and control arms. By 12 months, 6529 (68·7%) and 4074 (70·4%) were alive and in care, 568 (6·0%) and 321 (5·6%) had completed TB treatment, 1078 (11·3%) and 694 (12·0%) were lost to follow-up, with 245 and 156 deaths occurring in intervention and control arms, respectively. Mortality rates overall [95% confidence interval (CI)] was 4·5 (3·4–5·9) in intervention arm, and 3·8 (2·6–5·4) per 100 person-years in control arm clusters [mortality rate ratio (MRR): 1·19 (95% CI 0·79–1·80)]. Mortality rates among HIV-TB co-infected patients was 10·1 (6·7–15·3) and 9·8 (5·0–18·9) per 100 person-years, [MRR: 1·04 (95% CI 0·51–2·10)], in intervention and control arm clusters, respectively. // Interpretation: HIV-TB integration supported by a QI intervention did not reduce mortality in HIV-TB co-infected patients. Demonstrating mortality benefit from health systems process improvements in real-world operational settings remains challenging. Despite the study being potentially underpowered to demonstrate the effect size, integration interventions were implemented using existing facility staff and infrastructure reflecting the real-world context where most patients in similar settings access care, thereby improving generalizability and scalability of study findings

    Integration of antiretroviral therapy with tuberculosis treatment.

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    Background. We previously reported that integrating antiretroviral therapy (ART) with tuberculosis treatment reduces mortality. However, the timing for the initiation of ART during tuberculosis treatment remains unresolved. Methods. We conducted a three-group, open-label, randomized, controlled trial in South Africa involving 642 ambulatory patients, all with tuberculosis (confirmed by a positive sputum smear for acid-fast bacilli), human immunodeficiency virus infection, and a CD4+ T-cell count of less than 500 per cubic millimeter. Findings in the earlier- ART group (ART initiated within 4 weeks after the start of tuberculosis treatment, 214 patients) and later-ART group (ART initiated during the first 4 weeks of the continuation phase of tuberculosis treatment, 215 patients) are presented here. Results. At baseline, the median CD4+ T-cell count was 150 per cubic millimeter, and the median viral load was 161,000 copies per milliliter, with no significant differences between the two groups. The incidence rate of the acquired immunodeficiency syndrome (AIDS) or death was 6.9 cases per 100 person-years in the earlier-ART group (18 cases) as compared with 7.8 per 100 person-years in the later-ART group (19 cases) (incidence-rate ratio, 0.89; 95% confidence interval [CI], 0.44 to 1.79; P = 0.73). However, among patients with CD4+ T-cell counts of less than 50 per cubic millimeter, the incidence rates of AIDS or death were 8.5 and 26.3 cases per 100 person-years, respectively (incidence-rate ratio, 0.32; 95% CI, 0.07 to 1.13; P = 0.06). The incidence rates of the immune reconstitution inflammatory syndrome (IRIS) were 20.1 and 7.7 cases per 100 person-years, respectively (incidence-rate ratio, 2.62; 95% CI, 1.48 to 4.82; P<0.001). Adverse events requiring a switching of antiretroviral drugs occurred in 10 patients in the earlier-ART group and 1 patient in the later-ART group (P = 0.006). Conclusions. Early initiation of ART in patients with CD4+ T-cell counts of less than 50 per cubic millimeter increased AIDS-free survival. Deferral of the initiation of ART to the first 4 weeks of the continuation phase of tuberculosis therapy in those with higher CD4+ T-cell counts reduced the risks of IRIS and other adverse events related to ART without increasing the risk of AIDS or death

    The immune reconstitution inflammatory syndrome after antiretroviral therapy initiation in patients with tuberculosis: findings from the SAPiT trial.

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    Background: Concerns about the immune reconstitution inflammatory syndrome (IRIS) remain a barrier to antiretroviral therapy (ART) initiation during antituberculosis treatment in co-infected patients. Objective: To assess IRIS incidence, severity, and outcomes relative to the timing of ART initiation in patients with HIV-related tuberculosis. Design: Randomized, open-label clinical trial. (ClinicalTrials.gov registration number: NCT00398996) Setting: An outpatient clinic in Durban, South Africa. Patients: 642 patients co-infected with HIV and tuberculosis. Measurements: In a secondary analysis of the SAPiT (Starting Antiretroviral Therapy at Three Points in Tuberculosis) trial, IRIS was assessed in patients randomly assigned to initiate ART within 4 weeks of tuberculosis treatment initiation (early integrated treatment group), within 4 weeks of completion of the intensive phase of tuberculosis treatment (late integrated treatment group), or within 4 weeks after tuberculosis therapy completion (sequential treatment group). The syndrome was defined as new-onset or worsening symptoms, signs, or radiographic manifestations temporally related to treatment initiation, accompanied by a treatment response. Severity of IRIS, hospitalization, and time to resolution were monitored. Results: Incidence of IRIS was 19.5 (n = 43), 7.5 (n = 18), and 8.1 (n = 19) per 100 person-years in the early integrated, late integrated, and sequential treatment groups, respectively. Among patients with a baseline CD4+ count less than 0.050 × 10.9 cells/L, IRIS incidence was 45.5, 9.7, and 19.7 per 100 person-years in the early integrated, late integrated, and sequential treatment groups, respectively. Incidence of IRIS was higher in the early integrated treatment group than in the late integrated (incidence rate ratio, 2.6 [95% CI, 1.5 to 4.8]; P < 0.001) or sequential (incidence rate ratio, 2.4 [CI, 1.4 to 4.4]; P < 0.001) treatment groups. More severe IRIS cases occurred in the early integrated treatment group than in the other 2 groups (35% vs. 19%; P = 0.179), and patients in the early integrated treatment group had significantly higher hospitalization rates (42% vs. 14%; P = 0.007) and longer time to resolution (70.5 vs. 29.0 days; P = 0.001) than patients in the other 2 groups. Limitations: It was not possible to assess IRIS in more patients in the sequential treatment group (n = 74) than in the late integrated (n = 50) and early integrated (n = 32) treatment groups because of loss to follow-up, withdrawal, or death within 6 months of scheduled ART initiation. This study did not assess IRIS risk in nonambulatory patients or in those with extrapulmonary and smear-negative tuberculosis. Conclusion: Initiation of ART in early stages of tuberculosis treatment resulted in significantly higher IRIS rates, longer time to resolution, and more severe cases of IRIS requiring hospitalization. These findings are particularly relevant to patients initiating ART with a CD4+ count less than 0.050 × 10.9 cells/L, given the increased survival benefit of early ART initiation in this group
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