Browsing by Author "van Dijk J"

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    High Unreported Mortality in Children and Youth (<25 Years) Living With HIV Who Were Lost to Care From Antiretroviral Therapy Programs in Southern Africa: Results From a Multicountry Tracing Study.
    (2022-Dec-15) Nyakato P; Christ B; Anderegg N; Muhairwe J; Jefferys L; van Dijk J; Vinikoor MJ; van Lettow M; Chimbetete C; Phiri SJ; Egger M; Ballif M; Yiannoutsos CT; Schomaker M; Kassanjee R; Davies MA; Cornell M; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.; Newlands Clinic, Harare, Zimbabwe.; Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine.; SolidarMed, Maseru, Lesotho.; Centre for Infectious Disease Epidemiology and Research, University of Cape Town, Cape Town, South Africa.; Centre for Infectious Diseases Research in Zambia, Lusaka, Zambia.; Lighthouse Trust Clinic, Lilongwe, Malawi.; SolidarMed, Pemba, Mozambique.; SolidarMed, Masvingo, Zimbabwe.; R.M. Fairbanks School of Public Health, Department of Biostatistics, Indiana University, Indianapolis, IN; and.; Dignitas International, Zomba, Malawi.; Department of Statistics, Ludwig-Maximilians-Universität München, München, Germany.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
    BACKGROUND: Antiretroviral therapy program mortality maybe underestimated if deceased patients are misclassified as lost. METHODS: We used two-stage inverse probability weighting to account for probability of being: sampled for tracing and found by the tracer. RESULTS: Among 680 children and youth aged <25 years on antiretroviral therapy who were lost and traced in Southern Africa between October 2017 and November 2019, estimated mortality was high at 9.1% (62/680). After adjusting for measured covariates and within-site clustering, mortality remained lower for young adults aged 20-24 years compared with infants aged <2 years [adjusted hazard ratio: 0.40 (95% confidence interval: 0.31 to 0.51)]. CONCLUSIONS: Our study confirms high unreported mortality in children and youth who are lost and the need for tracing to assess vital status among those who are lost to accurately report on program mortality.
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    Tracing People Living With Human Immunodeficiency Virus Who Are Lost to Follow-up at Antiretroviral Therapy Programs in Southern Africa: A Sampling-Based Cohort Study in 6 Countries.
    (2022-Jan-29) Ballif M; Christ B; Anderegg N; Chammartin F; Muhairwe J; Jefferys L; Hector J; van Dijk J; Vinikoor MJ; van Lettow M; Chimbetete C; Phiri SJ; Onoya D; Fox MP; Egger M; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.; Newlands Clinic, Harare, Zimbabwe.; Lighthouse Trust Clinic, Lilongwe, Malawi.; Centre for Infectious Diseases Research in Zambia, Lusaka, Zambia.; SolidarMed, Maseru, Lesotho.; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.; SolidarMed, Pemba, Mozambique.; SolidarMed, Masvingo, Zimbabwe.; Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, South Africa.; Dignitas International, Zomba, Malawi.; Department of Epidemiology and Global Health, Boston University School of Public Health, Boston, Massachusetts, USA.; Centre for Infectious Disease Research and Epidemiology, University of Cape Town, Cape Town, South Africa.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
    BACKGROUND: Attrition threatens the success of antiretroviral therapy (ART). In this cohort study, we examined outcomes of people living with human immunodeficiency virus (PLHIV) who were lost to follow-up (LTFU) during 2014-2017 at ART programs in Southern Africa. METHODS: We confirmed LTFU (missed appointment for ≥60 or ≥90 days, according to local guidelines) by checking medical records and used a standardized protocol to trace a weighted random sample of PLHIV who were LTFU in 8 ART programs in Lesotho, Malawi, Mozambique, South Africa, Zambia, and Zimbabwe, 2017-2019. We ascertained vital status and identified predictors of mortality using logistic regression, adjusted for sex, age, time on ART, time since LTFU, travel time, and urban or rural setting. RESULTS: Among 3256 PLHIV, 385 (12%) were wrongly categorized as LTFU and 577 (17%) had missing contact details. We traced 2294 PLHIV (71%) by phone calls, home visits, or both: 768 (34% of 2294) were alive and in care, including 385 (17%) silent transfers to another clinic; 528 (23%) were alive without care or unknown care; 252 (11%) had died. Overall, the status of 1323 (41% of 3256) PLHIV remained unknown. Mortality was higher in men than women, higher in children than in young people or adults, and higher in PLHIV who had been on ART <1 year or LTFU ≥1 year and those living farther from the clinic or in rural areas. Results were heterogeneous across sites. CONCLUSIONS: Our study highlights the urgent need for better medical record systems at HIV clinics and rapid tracing of PLHIV who are LTFU.
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    Trends in CD4 and viral load testing 2005 to 2018: multi-cohort study of people living with HIV in Southern Africa.
    (2020-Jul) Zaniewski E; Dao Ostinelli CH; Chammartin F; Maxwell N; Davies MA; Euvrard J; van Dijk J; Bosomprah S; Phiri S; Tanser F; Sipambo N; Muhairwe J; Fatti G; Prozesky H; Wood R; Ford N; Fox MP; Egger M; Department of Biostatistics, School of Public Health, University of Ghana, Accra, Ghana.; Department of Global Health, Boston University, Boston, MA, USA.; Kheth'Impilo AIDS Free Living, Cape Town, South Africa.; Lighthouse, Lilongwe, Malawi.; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.; Division of Epidemiology and Biostatistics, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.; SolidarMed, Masvingo, Zimbabwe.; Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa.; SolidarMed, Maseru, Lesotho.; Department of Epidemiology, Boston University, Boston, MA, USA.; Chris Hani Baragwanath Academic Hospital, Johannesburg, South Africa.; Gugulethu ART Programme (Desmond Tutu HIV Centre), Cape Town, South Africa.; Lincoln International Institute for Rural Health, University of Lincoln, Lincoln, United Kingdom.; Division of Infectious Diseases, Department of Medicine, Stellenbosch University, Cape Town, South Africa.; Centre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.; Department of HIV/AIDS and Global Hepatitis Programme, World Health Organization, Geneva, Switzerland.; Africa Health Research Institute, KwaZulu-Natal, South Africa.; Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.; School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
    INTRODUCTION: The World Health Organization (WHO) recommends a CD4 cell count before starting antiretroviral therapy (ART) to detect advanced HIV disease, and routine viral load (VL) testing following ART initiation to detect treatment failure. Donor support for CD4 testing has declined to prioritize access to VL monitoring. We examined trends in CD4 and VL testing among adults (≥15 years of age) starting ART in Southern Africa. METHODS: We analysed data from 14 HIV treatment programmes in Lesotho, Malawi, Mozambique, South Africa, Zambia and Zimbabwe in 2005 to 2018. We examined the frequency of CD4 and VL testing, the percentage of adults with CD4 or VL tests, and among those having a test, the percentage starting ART with advanced HIV disease (CD4 count <200 cells/mm RESULTS: Among 502,456 adults, the percentage with CD4 testing at ART initiation decreased from a high of 78.1% in 2008 to a low of 38.0% in 2017; the probability declined by 14% each year (odds ratio (OR) 0.86; 95% CI 0.86 to 0.86). Frequency of CD4 testing also declined. The percentage starting ART with advanced HIV disease declined from 83.3% in 2005 to 23.5% in 2018; each year the probability declined by 20% (OR 0.80; 95% CI 0.80 to 0.81). VL testing after starting ART varied; 61.0% of adults in South Africa and 10.7% in Malawi were tested, but fewer than 2% were tested in the other four countries. The probability of VL testing after ART start increased only modestly each year (OR 1.06; 95% CI 1.05 to 1.06). The percentage with unsuppressed VL was 8.6%. There was no evidence of a decrease in unsuppressed VL over time (OR 1.00; 95% CI 0.99 to 1.01). CONCLUSIONS: CD4 cell counting declined over time, including testing at the start of ART, despite the fact that many patients still initiated ART with advanced HIV disease. Without CD4 testing and expanded VL testing many patients with advanced HIV disease and treatment failure may go undetected, threatening the effectiveness of ART in sub-Saharan Africa.