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Tadesse AW, Cusinato M, Weldemichael GT, Abdurhman T, Assefa D, Yazew H, Gadissa D, Shiferaw A, Belachew M, Sahile M, van Rest J, Bedru A, Foster N, Jerene D, Fielding KL. Risk factors for poor engagement with a smart pillbox adherence intervention among persons on tuberculosis treatment in Ethiopia. BMC Public Health 2023; 23:2006. [PMID: 37838677 PMCID: PMC10576388 DOI: 10.1186/s12889-023-16905-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 10/05/2023] [Indexed: 10/16/2023] Open
Abstract
BACKGROUND Non-adherence to tuberculosis treatment increases the risk of poor treatment outcomes. Digital adherence technologies (DATs), including the smart pillbox (EvriMED), aim to improve treatment adherence and are being widely evaluated. As part of the Adherence Support Coalition to End TB (ASCENT) project we analysed data from a cluster-randomised trial of DATs and differentiated care in Ethiopia to examine individual-factors for poor engagement with the smart pillbox. METHODS Data were obtained from a cohort of trial participants with drug-sensitive tuberculosis (DS-TB) whose treatment started between 1 December 2020 and 1 May 2022, and who were using the smart pillbox. Poor engagement with the pillbox was defined as (i) > 20% days with no digital confirmation and (ii) the count of days with no digital confirmation, and calculated over a two evaluation periods (56-days and 168-days). Logistic random effects regression was used to model > 20% days with no digital confirmation and negative binomial random effects regression to model counts of days with no digital confirmation, both accounting for clustering of individuals at the facility-level. RESULTS Among 1262 participants, 10.8% (133/1262) over 56-days and 15.8% (200/1262) over 168-days had > 20% days with no digital confirmation. The odds of poor engagement was less among participants in the higher stratum of socio-economic position (SEP) over 56-days. Overall, 4,689/67,315 expected doses over 56-days and 18,042/199,133 expected doses over 168-days were not digitally confirmed. Compared to participants in the poorest SEP stratum, participants in the wealthiest stratum had lower rates of days not digitally confirmed over 168-days (adjusted rate ratio [RRa]:0.79; 95% confidence interval [CI]: 0.65, 0.96). In both evaluation periods (56-days and 168-days), HIV-positive status (RRa:1.29; 95%CI: 1.02, 1.63 and RRa:1.28; 95%CI: 1.07, 1.53), single/living independent (RRa:1.31; 95%CI: 1.03, 1.67 and RRa:1.38; 95%CI: 1.16, 1.64) and separated/widowed (RRa:1.40; 95%CI: 1.04, 1.90 and RRa:1.26; 95%CI: 1.00, 1.58) had higher rates of counts of days with no digital confirmation. CONCLUSION Poorest SEP stratum, HIV-positive status, single/living independent and separated/ widowed were associated with poor engagement with smart pillbox among people with DS-TB in Ethiopia. Differentiated care for these sub-groups may reduce risk of non-adherence to TB treatment.
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Affiliation(s)
- Amare Worku Tadesse
- TB Centre, Department of Infectious Disease Epidemiology, London, School of Hygiene & Tropical Medicine (LSHTM) , London, UK.
| | - Martina Cusinato
- TB Centre, Department of Infectious Disease Epidemiology, London, School of Hygiene & Tropical Medicine (LSHTM) , London, UK
- Bristol Medical School, Population Health Sciences, Bristol, UK
| | | | | | | | | | | | | | | | | | | | | | - Nicola Foster
- TB Centre, Department of Infectious Disease Epidemiology, London, School of Hygiene & Tropical Medicine (LSHTM) , London, UK
| | - Degu Jerene
- KNCV Tuberculosis Plus, The Hague, Netherlands
| | - Katherine Linda Fielding
- TB Centre, Department of Infectious Disease Epidemiology, London, School of Hygiene & Tropical Medicine (LSHTM) , London, UK
- School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
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Gengiah S, Connolly C, Yende-Zuma N, Barker PM, Nunn AJ, Padayatchi N, Taylor M, Loveday M, Naidoo K. Organizational contextual factors that predict success of a quality improvement collaborative approach to enhance integrated HIV-tuberculosis services: a sub-study of the Scaling up TB/HIV Integration trial. Implement Sci 2021; 16:88. [PMID: 34535170 PMCID: PMC8447673 DOI: 10.1186/s13012-021-01155-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 09/02/2021] [Indexed: 11/10/2022] Open
Abstract
Background A quality improvement (QI) collaborative approach to enhancing integrated HIV-Tuberculosis (TB) services may be effective in scaling up and improving the quality of service delivery. Little is known of the role of organizational contextual factors (OCFs) in influencing the success of QI collaboratives. This study aims to determine which OCFs were associated with improvement in a QI collaborative intervention to enhance integrated HIV-TB services delivery. Methods This is a nested sub-study embedded in a cluster-randomized controlled trial. Sixteen nurse supervisors (clusters) overseeing 40 clinics were randomized (1:1) to receive QI training and mentorship, or standard of care support (SOC). In the QI arm, eight nurse supervisors and 20 clinics formed a “collaborative” which aimed to improve HIV-TB process indicators, namely HIV testing, TB screening, isoniazid preventive therapy (IPT) initiations, viral load testing, and antiretroviral therapy for TB patients. OCFs measured at baseline were physical infrastructure, key staff, flexibility of clinic hours, monitoring data for improvement (MDI), and leadership support. Surveys were administered to clinic staff at baseline and month 12 to assess perceptions of supportiveness of contexts for change, and clinic organization for delivering integrated HIV-TB services. Linear mixed modelling was used to test for associations between OCFs and HIV-TB process indicators. Results A total of 209 clinic staff participated in the study; 97 (46.4%) and 112 (53.6%) from QI and SOC arms, respectively. There were no differences between the QI and SOC arms scores achieved for physical infrastructure (78.9% vs 64.7%; p = 0.058), key staff (95.8 vs 92; p = 0.270), clinic hours (66.9 vs 65.5; p = 0.900), MDI (63.3 vs 65; p = 0.875, leadership support (46.0 vs 57.4; p = 0.265), and perceptions of supportiveness of contexts for change (76.2 vs 79.7; p = 0.128 and clinic organization for delivering integrated HIV-TB services (74.1 vs 80.1; p = 0.916). IPT initiation was the only indicator that was significantly improved in the parent study. MDI was a significantly associated with increasing IPT initiation rates [beta coefficient (β) = 0.004; p = 0.004]. Discussion MDI is a practice that should be fostered in public health facilities to increase the likelihood of success of future QI collaboratives to improve HIV-TB service delivery. Trial registration Clinicaltrials.gov, NCT02654613. Registered 01 June 2015. Supplementary Information The online version contains supplementary material available at 10.1186/s13012-021-01155-7.
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Affiliation(s)
- Santhanalakshmi Gengiah
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Private Bag X7 Congella, Durban, 4013, South Africa.
| | - Catherine Connolly
- School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - Nonhlanhla Yende-Zuma
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Private Bag X7 Congella, Durban, 4013, South Africa.,CAPRISA-MRC TB-HIV Pathogenesis and Treatment Research Unit, Durban, South Africa
| | - Pierre M Barker
- Institute for Healthcare Improvement, Cambridge, MA, USA.,Gillings School of Global Public Health, University of North Carolina (UNC),Chapel Hill, Chapel Hill, USA
| | - Andrew J Nunn
- Medical Research Council, Clinical Trials Unit at University College London (UCL), London, UK
| | - Nesri Padayatchi
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Private Bag X7 Congella, Durban, 4013, South Africa.,CAPRISA-MRC TB-HIV Pathogenesis and Treatment Research Unit, Durban, South Africa
| | - Myra Taylor
- School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - Marian Loveday
- CAPRISA-MRC TB-HIV Pathogenesis and Treatment Research Unit, Durban, South Africa.,HIV Prevention Research Unit, South African Medical Research Council, Durban, South Africa
| | - Kogieleum Naidoo
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Private Bag X7 Congella, Durban, 4013, South Africa.,CAPRISA-MRC TB-HIV Pathogenesis and Treatment Research Unit, Durban, South Africa
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3
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Chandra DK, Moll AP, Altice FL, Didomizio E, Andrews L, Shenoi SV. Structural barriers to implementing recommended tuberculosis preventive treatment in primary care clinics in rural South Africa. Glob Public Health 2021; 17:555-568. [PMID: 33650939 DOI: 10.1080/17441692.2021.1892793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
The World Health Organization (WHO) recommends tuberculosis preventive treatment (TPT) in people with HIV (PWH), yet implementation remains poor, especially in rural communities. We examined factors influencing TPT initiation in PWH on antiretroviral therapy (ART) in rural South Africa using the Promoting Action on Research Implementation in Health Services (PARiHS) framework to identify contextual factors and facilitation strategies to successfully implement TPT. Patient and clinical factors were extracted from medical records at two primary healthcare clinics (PHCs). Among 455 TPT eligible indivdiuals, only 263 (57.8%) initiated TPT. Patient-level characteristics (older age and symptoms of fever or weight loss) were significantly associated with TPT initiation in bivariate analysis, but PHC was the only independent correlate of TPT initiation (aOR: 2.24; 95% CI: 1.49-3.38). Clinic-level factors are crucial targets for implementing TPT to reduce the burden of HIV-associated TB. Gaps in knowledge of HCW, staff shortages, and non-integrated HIV/TB services were identified barriers to TPT implementation. Evidence-based strategies for facilitating TPT implementation that might be under-prioritized include ongoing reprioritization, expanding training for primary care providers, and quality improvement strategies (organisational changes, multidisciplinary teams, and monitoring and feedback). Addressing contextual barriers through these facilitation strategies may improve future TPT implementation in this setting.
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Affiliation(s)
- Divya K Chandra
- Department of Medicine, Section of Infectious Diseases, AIDS Program, Yale School of Medicine, New Haven, CT, USA.,University of Connecticut School of Medicine, Farmington, CT, USA
| | | | - Frederick L Altice
- Department of Medicine, Section of Infectious Diseases, AIDS Program, Yale School of Medicine, New Haven, CT, USA
| | - Elizabeth Didomizio
- Department of Medicine, Section of Infectious Diseases, AIDS Program, Yale School of Medicine, New Haven, CT, USA
| | - Laurie Andrews
- Department of Medicine, Section of Infectious Diseases, AIDS Program, Yale School of Medicine, New Haven, CT, USA
| | - Sheela V Shenoi
- Department of Medicine, Section of Infectious Diseases, AIDS Program, Yale School of Medicine, New Haven, CT, USA
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Mathuba B, Koromina M, Mitropoulou C, Patrinos GP. Catalyzing clinical implementation of pharmacogenomics and personalized medicine interventions in Africa. Pharmacogenomics 2020; 22:115-122. [PMID: 33353428 DOI: 10.2217/pgs-2020-0101] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Pharmacogenomics is considered to be the low-hanging fruit in the tree of genomic medicine with numerous examples of its successful implementation in the clinic. In this perspective, we provide details about the potential clinical application of pharmacogenomics in African populations by using relevant drug cases and high-throughput genomics approaches; involving numerous countries and stakeholders; and most importantly exploiting the existing knowledge of respective large-scale initiatives. We emphasize on the necessity of constructing appropriate frameworks for government policies in African countries. We also provide input about different initiatives in the field of genomics medicine implementation in Africa, not only for their potential for synergy and collaboration among them, but also as models for replication in other regions worldwide, aiming for healthcare improvement.
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Affiliation(s)
- Bathusi Mathuba
- Botswana-Baylor Children's Clinical Centre of Excellence, Gaborone, Botswana
| | - Maria Koromina
- Department of Pharmacy, University of Patras School of Health Sciences, Patras, 26503, Greece
| | | | - George P Patrinos
- Department of Pharmacy, University of Patras School of Health Sciences, Patras, 26503, Greece.,Department of Pathology, College of Medicine & Health Sciences, United Arab Emirates University, Al-Ain, UAE.,Zayed Center of Health Sciences, United Arab Emirates University, Al-Ain, UAE
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5
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Monroe AK, Happ LP, Rayeed N, Ma Y, Jaurretche MJ, Terzian AS, Trac K, Horberg MA, Greenberg AE, Castel AD. Clinic-Level Factors Associated With Time to Antiretroviral Initiation and Viral Suppression in a Large, Urban Cohort. Clin Infect Dis 2020; 71:e151-e158. [PMID: 31701144 PMCID: PMC7583410 DOI: 10.1093/cid/ciz1098] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Accepted: 11/06/2019] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Using the results of a site assessment survey performed at clinics throughout Washington, DC, we studied the impact of clinic-level factors on antiretroviral therapy (ART) initiation and viral suppression (VS) among people living with human immunodeficiency virus (HIV; PLWH). METHODS This was a retrospective analysis from the District of Columbia (DC) Cohort, an observational, clinical cohort of PLWH from 2011-2018. We included data from PLWH not on ART and not virally suppressed at enrollment. Outcomes were ART initiation and VS (HIV RNA < 200 copies/mL). A clinic survey captured information on care delivery (eg, clinical services, adherence services, patient monitoring services) and clinic characteristics (eg, types of providers, availability of evenings/weekends sessions). Multivariate marginal Cox regression models were generated to identify those factors associated with the time to ART initiation and VS. RESULTS Multiple clinic-level factors were associated with ART initiation, including retention in care monitoring and medication dispensing reviews (adjusted hazard ratios [aHRs], 1.34 to 1.40; P values < .05 for both). Furthermore, multiple factors were associated with VS, including retention in HIV care monitoring, medication dispensing reviews, and the presence of a peer interventionist (aHRs, 1.35 to 1.72; P values < .05 for all). In multivariable models evaluating different combinations of clinic-level factors, enhanced adherence services (aHR, 1.37; 95% confidence interval [CI], 1.18-1.58), medication dispensing reviews (aHR, 1.22; 95% CI, 1.10-1.36), and the availability of opioid treatment (aHR, 1.26; 95% CI, 1.01-1.57) were all associated with the time to VS. CONCLUSIONS The observed association between clinic-level factors and ART initiation/VS suggests that the presence of specific clinic services may facilitate the achievement of HIV treatment goals.
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Affiliation(s)
- Anne K Monroe
- Department of Epidemiology, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA
| | - Lindsey P Happ
- Department of Epidemiology, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA
| | | | - Yan Ma
- Department of Biostatistics, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA
| | - Maria J Jaurretche
- Department of Epidemiology, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA
| | - Arpi S Terzian
- Department of Epidemiology, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA
| | - Kevin Trac
- Department of Epidemiology, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA
| | - Michael A Horberg
- Mid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic States, Rockville, Maryland, USA
| | - Alan E Greenberg
- Department of Epidemiology, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA
| | - Amanda D Castel
- Department of Epidemiology, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA
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6
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Risk factors for loss to follow-up from antiretroviral therapy programmes in low-income and middle-income countries. AIDS 2020; 34:1261-1288. [PMID: 32287056 DOI: 10.1097/qad.0000000000002523] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
INTRODUCTION Loss to follow-up (LTFU) rates from antiretroviral treatment (ART) programmes in low- and middle-income countries (LMIC) are high, leading to poor treatment outcomes and onward transmission of HIV. Knowledge of risk factors is required to address LTFU. In this systematic review, risk factors for LTFU are identified and meta-analyses performed. METHODS PubMed, Embase, Psycinfo and Cochrane were searched for studies that report on potential risk factors for LTFU in adults who initiated ART in LMICs. Meta-analysis was performed for risk factors evaluated by at least five studies. Pooled effect estimates and their 95% confidence intervals (95% CI) were calculated using random effect models with inverse variance weights. Risk of bias was assessed and sensitivity analyses performed. RESULTS Eighty studies were included describing a total of 1 605 320 patients of which 87.4% from sub-Saharan Africa. The following determinants were significantly associated with an increased risk of LTFU in meta-analysis: male sex, older age, being single, unemployment, lower educational status, advanced WHO stage, low weight, worse functional status, poor adherence, nondisclosure, not receiving cotrimoxazole prophylactic therapy when indicated, receiving care at secondary level and more recent year of initiation. No association was seen for CD4 cell count, tuberculosis at baseline, regimen, and geographical setting. CONCLUSION There are several sociodemographic, clinical, patient behaviour, treatment-related and system level risk factors for LTFU from ART programs. Knowledge of risk factors should be used to better target retention interventions and develop tools to identify high-risk patients.
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Ward-Peterson M, Fennie K, Mauck D, Shakir M, Cosner C, Bhoite P, Trepka MJ, Madhivanan P. Using multilevel models to evaluate the influence of contextual factors on HIV/AIDS, sexually transmitted infections, and risky sexual behavior in sub-Saharan Africa: a systematic review. Ann Epidemiol 2017; 28:119-134. [PMID: 29439782 DOI: 10.1016/j.annepidem.2017.11.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Revised: 11/04/2017] [Accepted: 11/20/2017] [Indexed: 11/30/2022]
Abstract
PURPOSE To describe the use of multilevel models (MLMs) in evaluating the influence of contextual factors on HIV/AIDS, sexually transmitted infections (STIs), and risky sexual behavior (RSB) in sub-Saharan Africa. METHODS Ten databases were searched through May 29, 2016. Two reviewers completed screening and full-text review. Studies examining the influence of contextual factors on HIV/AIDS, STIs, and RSB and using MLMs for analysis were included. The Quality Assessment Tool for Quantitative Studies was used to evaluate study quality. RESULTS A total of 118 studies met inclusion criteria. Seventy-four studies focused on HIV/AIDS-related topics; 46 focused on RSB. No studies related to STIs other than HIV/AIDS met the eligibility criteria. Of five studies examining HIV serostatus and community socioeconomic factors, three found an association between poverty and measures of inequality and increased HIV prevalence. Among studies examining RSB, associations were found with numerous contextual factors, including poverty, education, and gender norms. CONCLUSIONS Studies using MLMs indicate that several contextual factors, including community measures of socioeconomic status and educational attainment, are associated with a number of outcomes related to HIV/AIDS and RSB. Future studies using MLMs should focus on contextual-level interventions to strengthen the evidence base for causality.
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Affiliation(s)
- Melissa Ward-Peterson
- Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, FL.
| | - Kristopher Fennie
- Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, FL
| | - Daniel Mauck
- Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, FL
| | - Maryam Shakir
- Office of Medical Education, Herbert Wertheim College of Medicine, Florida International University, Miami, FL
| | - Chelsea Cosner
- Herbert Wertheim College of Medicine, Florida International University, Miami, FL
| | - Prasad Bhoite
- Department of Health, Humanities, and Society, Herbert Wertheim College of Medicine, Florida International University, Miami, FL
| | - Mary Jo Trepka
- Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, FL
| | - Purnima Madhivanan
- Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, FL
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Johnson LF, May MT, Dorrington RE, Cornell M, Boulle A, Egger M, Davies MA. Estimating the impact of antiretroviral treatment on adult mortality trends in South Africa: A mathematical modelling study. PLoS Med 2017; 14:e1002468. [PMID: 29232366 PMCID: PMC5726614 DOI: 10.1371/journal.pmed.1002468] [Citation(s) in RCA: 89] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Accepted: 11/07/2017] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Substantial reductions in adult mortality have been observed in South Africa since the mid-2000s, but there has been no formal evaluation of how much of this decline is attributable to the scale-up of antiretroviral treatment (ART), as previous models have not been calibrated to vital registration data. We developed a deterministic mathematical model to simulate the mortality trends that would have been expected in the absence of ART, and with earlier introduction of ART. METHODS AND FINDINGS Model estimates of mortality rates in ART patients were obtained from the International Epidemiology Databases to Evaluate AIDS-Southern Africa (IeDEA-SA) collaboration. The model was calibrated to HIV prevalence data (1997-2013) and mortality data from the South African vital registration system (1997-2014), using a Bayesian approach. In the 1985-2014 period, 2.70 million adult HIV-related deaths occurred in South Africa. Adult HIV deaths peaked at 231,000 per annum in 2006 and declined to 95,000 in 2014, a reduction of 74.7% (95% CI: 73.3%-76.1%) compared to the scenario without ART. However, HIV mortality in 2014 was estimated to be 69% (95% CI: 46%-97%) higher in 2014 (161,000) if the model was calibrated only to HIV prevalence data. In the 2000-2014 period, the South African ART programme is estimated to have reduced the cumulative number of HIV deaths in adults by 1.72 million (95% CI: 1.58 million-1.84 million) and to have saved 6.15 million life years in adults (95% CI: 5.52 million-6.69 million). This compares with a potential saving of 8.80 million (95% CI: 7.90 million-9.59 million) life years that might have been achieved if South Africa had moved swiftly to implement WHO guidelines (2004-2013) and had achieved high levels of ART uptake in HIV-diagnosed individuals from 2004 onwards. The model is limited by its reliance on all-cause mortality data, given the lack of reliable cause-of-death reporting, and also does not allow for changes over time in tuberculosis control programmes and ART effectiveness. CONCLUSIONS ART has had a dramatic impact on adult mortality in South Africa, but delays in the rollout of ART, especially in the early stages of the ART programme, have contributed to substantial loss of life. This is the first study to our knowledge to calibrate a model of ART impact to population-level recorded death data in Africa; models that are not calibrated to population-level death data may overestimate HIV-related mortality.
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Affiliation(s)
- Leigh F. Johnson
- Centre for Infectious Disease Epidemiology and Research, University of Cape Town, Cape Town, South Africa
- * E-mail:
| | - Margaret T. May
- School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom
| | - Rob E. Dorrington
- Centre for Actuarial Research, University of Cape Town, Cape Town, South Africa
| | - Morna Cornell
- Centre for Infectious Disease Epidemiology and Research, University of Cape Town, Cape Town, South Africa
| | - Andrew Boulle
- Centre for Infectious Disease Epidemiology and Research, University of Cape Town, Cape Town, South Africa
| | - Matthias Egger
- Centre for Infectious Disease Epidemiology and Research, University of Cape Town, Cape Town, South Africa
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Mary-Ann Davies
- Centre for Infectious Disease Epidemiology and Research, University of Cape Town, Cape Town, South Africa
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Mukoswa GM, Charalambous S, Nelson G. The association between social capital and HIV treatment outcomes in South Africa. PLoS One 2017; 12:e0184140. [PMID: 29121656 PMCID: PMC5679596 DOI: 10.1371/journal.pone.0184140] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2016] [Accepted: 08/18/2017] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND HIV treatment has reduced morbidity and mortality. By 2012, it was estimated that 60.4% of eligible South Africans accessed antiretroviral treatment; however, treatment adherence and retention remain the greatest challenges. There is a growing belief that social capital, seen as "the features of social organization that facilitate cooperation for mutual benefit", is important in promoting HIV treatment retention. The aim of this study was to establish whether social capital is associated with HIV treatment outcomes. METHODS AND FINDINGS This was a cross-sectional analysis of data from a cohort study that investigated how patient outcomes were linked to clinical characteristics, and included exploratory factor and logistic regression analysis. Data from 943 patients were analyzed. Outcomes for the analysis were visit non-adherence, unsuppressed viral load, and treatment failure. Sixteen percent of patients (n = 118) had unsuppressed viral loads; 19% (n = 179) were non-adherent; and 32% (n = 302) experienced treatment failure. Social capital had two dimensions that were described by two factors. There was no association between either factor and visit non-adherence. Social capital factor 1 was marginally associated with lower risks of unsuppressed viral load and treatment failure at 12 months (OR = 0.78; 95% CI = 0.58-1.03 and OR = 0.76; 95% CI = 0.62-0.93, respectively); but not with visit non-adherence (OR = 0.93; 95% CI = 0.71-1.22). After controlling for confounders, the odds of both unsuppressed viral load and treatment failure decreased with an increase in social capital factor 1. CONCLUSION This study suggests that social capital, in terms of the number of groups to which an HIV-infected person belongs, the diversity of the groups, availability of child support, and time available for community projects, is protective against poor HIV treatment outcomes. Implementers and policy makers in the areas of HIV treatment and prevention need to consider the inclusion of social capital in the design of HIV/AIDS treatment program.
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Affiliation(s)
- Grace Musanse Mukoswa
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Salome Charalambous
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- The Aurum Institute, Johannesburg, South Africa
| | - Gill Nelson
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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