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Raberahona M, Rakotomalala R, Andriananja V, Andriamamonjisoa J, Rakotomijoro E, Andrianasolo RL, Rakotoarivelo RA, Randria MJDD. A retrospective cohort analysis of people living with HIV/AIDS enrolled in HIV care at a reference center in Antananarivo, Madagascar. Front Public Health 2024; 11:1329194. [PMID: 38288430 PMCID: PMC10822960 DOI: 10.3389/fpubh.2023.1329194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Accepted: 12/22/2023] [Indexed: 01/31/2024] Open
Abstract
Background The impact of the "Treat all" policy on the individual and in terms of public health is closely related to early diagnosis and retention in care. Patient-level data are scarce in Madagascar. In this study, we aimed to describe the profile of a cohort of newly diagnosed people living with HIV/AIDS (PLHIV), identify their outcomes, and assess factors associated with attrition from care and advanced HIV disease (AHD) at presentation. Methods We conducted a retrospective cohort study of PLHIV aged ≥15 years newly diagnosed at the University Hospital Joseph Raseta Befelatanana Antananarivo from 1 January 2010 to 31 December 2016. Results A total of 490 PLHIV were included in the cohort analysis. In total, 67.1% were male. The median age (interquartile range) at enrollment in care was 29 years (24-38). Overall, 36.1% of PLHIV were diagnosed with AHD at baseline. The proportion of patients with WHO stage IV at baseline increased significantly from 3.3% in 2010 to 31% in 2016 (p = 0.001 for trend). The probability of retention in care after the diagnosis at 12 months, 24 months, and 36 months was 71.8%, 65.5%, and 61.3%, respectively. Age ≥ 40 years (aHR: 1.55; 95% CI: 1.05-2.29; p = 0.026), low level of education (aHR:1.62; 95% CI: 1.11-2.36; p = 0,013), unspecified level of education (aHR:2.18; 95% CI: 1.37-3.47; p = 0.001) and unemployment (aHR:1.52; 95% CI: 1.07-2.16; p = 0.019) were independently associated with attrition from care. Factors associated with AHD at baseline were age ≥ 40 (aOR: 2.77; 95% CI: 1.38-5.57, p = 0.004), unspecified level of education (aOR: 3.80; 95% CI: 1.58-9.16, p = 0.003) and presence of clinical symptoms at baseline (aOR: 23.81; 95% CI: 10.7-52.98; p < 0.001). Sex workers were independently less likely to have an AHD at presentation (aOR: 0.23; 95% CI: 0.05-0.96, p = 0.044). Conclusion Sociodemographic determinants influenced retention in care more than clinical factors. The presence of clinical symptoms and sociodemographic determinants were the main factors associated with AHD at baseline.
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Affiliation(s)
- Mihaja Raberahona
- Department of Infectious Diseases, University Hospital Joseph Raseta Befelatanana Antananarivo, Antananarivo, Madagascar
- Faculty of Medicine, University of Antananarivo, Antananarivo, Madagascar
| | - Rado Rakotomalala
- Department of Infectious Diseases, University Hospital Joseph Raseta Befelatanana Antananarivo, Antananarivo, Madagascar
| | - Volatiana Andriananja
- Department of Infectious Diseases, University Hospital Joseph Raseta Befelatanana Antananarivo, Antananarivo, Madagascar
| | - Johary Andriamamonjisoa
- Department of Infectious Diseases, University Hospital Joseph Raseta Befelatanana Antananarivo, Antananarivo, Madagascar
| | - Etienne Rakotomijoro
- Department of Infectious Diseases, University Hospital Joseph Raseta Befelatanana Antananarivo, Antananarivo, Madagascar
| | | | - Rivonirina Andry Rakotoarivelo
- Department of Infectious Diseases, Faculty of Medicine, University Hospital Tambohobe Fianarantsoa, University of Fianarantsoa, Fianarantsoa, Madagascar
| | - Mamy Jean de Dieu Randria
- Department of Infectious Diseases, University Hospital Joseph Raseta Befelatanana Antananarivo, Antananarivo, Madagascar
- Faculty of Medicine, University of Antananarivo, Antananarivo, Madagascar
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Shapiro AN, Scott L, Moultrie H, Jacobson KR, Bor J, Fofana AM, Dor G, Ndjeka NO, da Silva P, Mlisana K, Jenkins HE, Stevens WS. Tuberculosis testing patterns in South Africa to identify groups that would benefit from increased investigation. Sci Rep 2023; 13:20875. [PMID: 38012266 PMCID: PMC10682361 DOI: 10.1038/s41598-023-47148-y] [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: 06/13/2023] [Accepted: 11/09/2023] [Indexed: 11/29/2023] Open
Abstract
The National Health Laboratory Service (NHLS) collects all public health laboratory test results in South Africa, providing a cohort from which to identify groups, by age, sex, HIV, and viral suppression status, that would benefit from increased tuberculosis (TB) testing. Using NHLS data (2012-2016), we assessed levels and trends over time in TB diagnostic tests performed (count and per capita) and TB test positivity. Estimates were stratified by HIV status, viral suppression, age, sex, and province. We used logistic regression to estimate the odds of testing positive for TB by viral suppression status. Nineteen million TB diagnostic tests were conducted during period 2012-2016. Testing per capita was lower among PLHIV with viral suppression than those with unsuppressed HIV (0.08 vs 0.32) but lowest among people without HIV (0.03). Test positivity was highest among young adults (aged 15-35 years), males of all age groups, and people with unsuppressed HIV. Test positivity was higher for males without laboratory evidence of HIV than those with HIV viral suppression, despite similar individual odds of TB. Our results are an important national baseline characterizing who received TB testing in South Africa. People without evidence of HIV, young adults, and males would benefit from increased TB screening given their lower testing rates and higher test positivity. These high-test positivity groups can be used to guide future expansions of TB screening.
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Affiliation(s)
- Anne N Shapiro
- Department of Biostatistics, Boston University School of Public Health, Boston, USA.
- Department of Internal Medicine, Faculty of Health Sciences, School of Clinical Medicine, Health Economics and Epidemiology Research Office, University of the Witwatersrand, Johannesburg, South Africa.
| | - Lesley Scott
- Wits Diagnostic Innovation Hub, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Harry Moultrie
- Centre for Tuberculosis, A division of the National Health Laboratory Services, National Institute for Communicable Diseases, Johannesburg, South Africa
| | - Karen R Jacobson
- Division of Infectious Diseases, Boston Medical Center, Boston, USA
| | - Jacob Bor
- Department of Internal Medicine, Faculty of Health Sciences, School of Clinical Medicine, Health Economics and Epidemiology Research Office, University of the Witwatersrand, Johannesburg, South Africa
- Department of Global Health, Boston University School of Public Health, Boston, USA
| | - Abdou M Fofana
- Department of Biostatistics, Boston University School of Public Health, Boston, USA
- Questrom School of Business, Institute for Health System Innovation & Policy, Boston University, Boston, USA
| | - Graeme Dor
- Department of Internal Medicine, Faculty of Health Sciences, School of Clinical Medicine, Health Economics and Epidemiology Research Office, University of the Witwatersrand, Johannesburg, South Africa
| | | | - Pedro da Silva
- National Health Laboratory Service, National Priority Program, Johannesburg, South Africa
| | - Koleka Mlisana
- National Health Laboratory Service, National Priority Program, Johannesburg, South Africa
| | - Helen E Jenkins
- Department of Biostatistics, Boston University School of Public Health, Boston, USA
| | - Wendy S Stevens
- Department of Internal Medicine, Faculty of Health Sciences, School of Clinical Medicine, Health Economics and Epidemiology Research Office, University of the Witwatersrand, Johannesburg, South Africa
- National Health Laboratory Service, National Priority Program, Johannesburg, South Africa
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Shumba K, Bor J, Nattey C, Gareta D, Lauren E, Macleod W, Fox MP, Puren A, Mlisana K, Onoya D. Record linkage without patient identifiers: proof of concept using data from South Africa's national HIV program. RESEARCH SQUARE 2023:rs.3.rs-2893943. [PMID: 37292689 PMCID: PMC10246237 DOI: 10.21203/rs.3.rs-2893943/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Background Linkage between health databases typically requires identifiers such as patient names and personal identification numbers. We developed and validated a record linkage strategy to combine administrative health databases without the use of patient identifiers, with application to South Africa's public sector HIV treatment program. Methods We linked CD4 counts and HIV viral loads from South Africa's HIV clinical monitoring database (TIER.Net) and the National Health Laboratory Service (NHLS) for patients receiving care between 2015-2019 in Ekurhuleni District (Gauteng Province). We used a combination of variables related to lab results contained in both databases (result value; specimen collection date; facility of collection; patient year and month of birth; and sex). Exact matching linked on exact linking variable values while caliper matching applied exact matching with linkage on approximate test dates (± 5 days). We then developed a sequential linkage approach utilising specimen barcode matching, then exact matching, and lastly caliper matching. Performance measures were sensitivity and positive predictive value (PPV); share of patients linked across databases; and percent increase in data points for each linkage approach. Results We attempted to link 2,017,290 lab results from TIER.Net (representing 523,558 unique patients) and 2,414,059 lab results from the NHLS database. Linkage performance was evaluated using specimen barcodes (available for a minority of records in TIER.net) as a "gold standard". Exact matching achieved a sensitivity of 69.0% and PPV of 95.1%. Caliper-matching achieved a sensitivity of 75.7% and PPV of 94.5%. In sequential linkage, we matched 41.9% of TIER.Net labs by specimen barcodes, 51.3% by exact matching, and 6.8% by caliper matching, for a total of 71.9% of labs matched, with PPV=96.8% and Sensitivity = 85.9%. The sequential approach linked 86.0% of TIER.Net patients with at least one lab result to the NHLS database (N=1,450,087). Linkage to the NHLS Cohort increased the number of laboratory results associated with TIER.Net patients by 62.6%. Conclusions Linkage of TIER.Net and NHLS without patient identifiers attained high accuracy and yield without compromising patient privacy. The integrated cohort provides a more complete view of patients' lab history and could yield more accurate estimates of HIV program indicators.
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Gómez-Olivé FX, Scheuermaier K. Alarming high prevalence of non-HIV sexually transmitted infections in a rural population of Southern Uganda. Lancet Glob Health 2022; 10:e1701-e1702. [PMID: 36400077 DOI: 10.1016/s2214-109x(22)00474-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 10/25/2022] [Indexed: 11/17/2022]
Affiliation(s)
- Francesc Xavier Gómez-Olivé
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
| | - Karine Scheuermaier
- Brain Function Research Group, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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