Browsing by Author "Vlahakis N"

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Geospatial Patterns of Progress towards UNAIDS "95-95-95" Targets and Community Vulnerability in Zambia.
(2023-Apr-26) Cuadros DF; Chowdhury T; Milali M; Citron D; Nyimbili S; Vlahakis N; Savory T; Mulenga L; Sivile S; Zyambo K; Bershteyn A; National HIV Program, Ministry of Health, Lusaka, Zambia.; Digital Epidemiology Laboratory, Digital Futures, University of Cincinnati, Cincinnati, OH, USA.; Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA.; Centre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.
In sub-Saharan Africa, HIV/AIDS remains a leading cause of death. The UNAIDS established the "95-95-95" targets to improve HIV care continuum outcomes. Using geospatial data from the Zambia Population-based HIV Impact Assessment (ZAMPHIA), this study aims to investigate geospatial patterns in the "95-95-95" indicators and individual-level determinants that impede HIV care continuum in vulnerable communities, providing insights into the factors associated with gaps. This study used data from the 2016 ZAMPHIA to investigate the geospatial distribution and individual-level determinants of engagement across the HIV care continuum in Zambia. Gaussian kernel interpolation and optimized hotspot analysis were used to identify geospatial patterns in the HIV care continuum, while geospatial k-means clustering was used to partition areas into clusters. The study also assessed healthcare availability, access, and social determinants of healthcare utilization. Multiple logistic regression models were used to examine the association between selected sociodemographic and behavioral covariates and the three main outcomes of study. Varied progress towards the "95-95-95" targets were observed in different regions of Zambia. Each "95" displayed a unique geographic pattern, independent of HIV prevalence, resulting in four distinct geographic clusters. Factors associated with gaps in the "95s" include younger age, male sex, and low wealth, with younger individuals having higher odds of not being on ART and having detectable viral loads. Our study revealed significant spatial heterogeneity in the HIV care continuum in Zambia, with different regions exhibiting unique geographic patterns and levels of performance in the "95-95-95" targets, highlighting the need for geospatial tailored interventions to address the specific needs of different subnational regions. These findings underscore the importance of addressing differential regional gaps in HIV diagnosis, enhancing community-level factors, and developing innovative strategies to improve local HIV care continuum outcomes.
Geospatial patterns of progress towards UNAIDS '95-95-95' targets and community vulnerability in Zambia: insights from population-based HIV impact assessments.
(2023-Oct) Cuadros DF; Chowdhury T; Milali M; Citron DT; Nyimbili S; Vlahakis N; Savory T; Mulenga L; Sivile S; Zyambo KD; Bershteyn A; Digital Epidemiology Laboratory, Digital Futures, University of Cincinnati, Cincinnati, OH, USA.; National HIV Program, Ministry of Health, Lusaka, Zambia.; Department of Population Health, New York University Grossman School of Medicine, New York, New York, USA.; Centre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.; Digital Epidemiology Laboratory, Digital Futures, University of Cincinnati, Cincinnati, OH, USA diego.cuadros@uc.edu.
INTRODUCTION: In sub-Saharan Africa, HIV/AIDS remains a leading cause of death. The UNAIDS established the '95-95-95' targets to improve HIV care continuum outcomes. Using geospatial data from the Zambia Population-based HIV Impact Assessment (ZAMPHIA), this study aims to investigate geospatial patterns in the '95-95-95' indicators and individual-level determinants that impede HIV care continuum in vulnerable communities, providing insights into the factors associated with gaps. METHODS: This study used data from the 2016 ZAMPHIA to investigate the geospatial distribution and individual-level determinants of engagement across the HIV care continuum in Zambia. Gaussian kernel interpolation and optimised hotspot analysis were used to identify geospatial patterns in the HIV care continuum, while geospatial k-means clustering was used to partition areas into clusters. The study also assessed healthcare availability, access and social determinants of healthcare utilisation. Multiple logistic regression models were used to examine the association between selected sociodemographic and behavioural covariates and the three main outcomes of study. RESULTS: Varied progress towards the '95-95-95' targets were observed in different regions of Zambia. Each '95' displayed a unique geographical pattern, independent of HIV prevalence, resulting in four distinct geographical clusters. Factors associated with gaps in the '95s' include younger age, male sex, and low wealth, with younger individuals having higher odds of not being on antiretroviral therapy and having detectable viral loads. CONCLUSIONS: Our study revealed significant spatial heterogeneity in the HIV care continuum in Zambia, with different regions exhibiting unique geographical patterns and levels of performance in the '95-95-95' targets, highlighting the need for geospatial tailored interventions to address the specific needs of different subnational regions. These findings underscore the importance of addressing differential regional gaps in HIV diagnosis, enhancing community-level factors and developing innovative strategies to improve local HIV care continuum outcomes.
Measuring Oral Pre-exposure Prophylaxis (PrEP) Continuation Through Electronic Health Records During Program Scale-Up Among the General Population in Zambia.
(2023-Jul) Heilmann E; Okuku J; Itoh M; Hines JZ; Prieto JT; Phiri M; Watala K; Nsofu C; Luhana-Phiri M; Vlahakis N; Kabongo M; Kaliki B; Minchella PA; Musonda B; Eastern Provincial Health Office, Ministry of Health, Chipata, Zambia.; Palantir Technologies, Paris, France.; Southern Provincial Health Office, Ministry of Health, Choma, Zambia.; Division of Global HIV & TB, Centers for Disease Control and Prevention, 351 Independence Avenue, Lusaka, Zambia.; Division of Global HIV & TB, Centers for Disease Control and Prevention, 351 Independence Avenue, Lusaka, Zambia. qng0@cdc.gov.; Lusaka Provincial Health Office, Ministry of Health, Lusaka, Zambia.; Western Provincial Health Office, Ministry of Health, Mongu, Zambia.; Ministry of Health, Lusaka, Zambia.; PHI/CDC Global Health Fellowship Program, Public Health Institute, Oakland, CA, USA. qng0@cdc.gov.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
HIV pre-exposure prophylaxis (PrEP) is being scaled-up in Zambia, but PrEP continuation data are limited by paper-based registers and aggregate reports. Utilization of Zambia's electronic health record (EHR) system, SmartCare, may address this gap. We analyzed individuals aged ≥ 15 years who initiated PrEP between October 2020 and September 2021 in four provinces in Zambia in SmartCare versus aggregate reports. We measured PrEP continuation using Kaplan-Meier survival analysis and Cox proportional hazards models. SmartCare captured 29% (16,791/58,010) of new PrEP clients; 49% of clients continued at one month, and 89% discontinued PrEP by February 2022. Women were less likely than men to discontinue PrEP (adjusted hazard ratio [aHR]: 0.89, 95% CI 0.86-0.92, z = - 6.99, p < 0.001), and PrEP clients aged ≥ 50 years were less likely to discontinue PrEP compared to clients 15-19 years (aHR: 0.53, 95% CI 0.48-0.58, z = - 13.04, p < 0.001). Zambia's EHR is a valuable resource for measuring individual-level PrEP continuation over time and can be used to inform HIV prevention programs.
Mitigating the effects of COVID-19 on HIV treatment and care in Lusaka, Zambia: a before-after cohort study using mixed effects regression.
(2022-Jan) Pry JM; Sikombe K; Mody A; Iyer S; Mutale J; Vlahakis N; Savory T; Wa Mwanza M; Mweebo K; Mwila A; Mwale C; Mukumbwa-Mwenechanya M; Kerkhoff AD; Sikazwe I; Bolton Moore C; Mwamba D; Geng EH; Herce ME; Department of Infectious Disease, The University of Alabama at Birmingham School of Medicine, Birmingham, Alabama, USA.; University of California San Francisco, San Francisco, California, USA.; San Francisco General Hospital and Trauma Center, San Francisco, California, USA.; Zambia Ministry of Health, Lusaka, Zambia.; Division of Global HIV & Tuberculosis, Centers for Disease Control and Prevention, Lusaka, Zambia.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia jmpry@ucdavis.edu.; Institute for Global Health & Infectious Diseases, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA.; Department of Public Health Environments and Society, London School of Hygiene & Tropical Medicine, London, UK.; Centre for Infectious Disease Research in Zambia, Lusaka, Zambia.; Department of Internal Medicine, Washington University School of Medicine in Saint Louis, St Louis, Missouri, USA.; CIDRZ; Centre for Infectious Disease Research in Zambia (CIDRZ)
INTRODUCTION: The Zambian Ministry of Health (MoH) issued COVID-19 mitigation guidance for HIV care immediately after the first COVID-19 case was confirmed in Zambia on 18 March 2020. The Centre for Infectious Disease Research in Zambia implemented MoH guidance by: 1) extending antiretroviral therapy (ART) refill duration to 6 multi-month dispensation (6MMD) and 2) task-shifting communication and mobilisation of those in HIV care to collect their next ART refill early. We assessed the impact of COVID-19 mitigation guidance on HIV care 3 months before and after guidance implementation. METHODS: We reviewed all ART pharmacy visit data in the national HIV medical record for PLHIV in care having ≥1 visit between 1 January-30 June 2020 at 59 HIV care facilities in Lusaka Province, Zambia. We undertook a before-after evaluation using mixed-effects Poisson regression to examine predictors and marginal probability of early clinic return (pharmacy visit >7 days before next appointment), proportion of late visit (>7 days late for next appointment) and probability of receiving a 6MMD ART refill. RESULTS: A total of 101 371 individuals (64% female, median age 39) with 130 486 pharmacy visits were included in the analysis. We observed a significant increase in the adjusted prevalence ratio (4.63; 95% CI 4.45 to 4.82) of early return before compared with after guidance implementation. Receipt of 6MMD increased from a weekly mean of 47.9% (95% CI 46.6% to 49.2%) before to 73.4% (95% CI 72.0% to 74.9%) after guidance implementation. The proportion of late visits (8-89 days late) was significantly higher before (18.8%, 95% CI17.2%to20.2%) compared with after (15.1%, 95% CI13.8%to16.4%) guidance implementation . CONCLUSIONS: Timely issuance and implementation of COVID-19 mitigation guidance involving task-shifted patient communication and mobilisation alongside 6MMD significantly increased early return to ART clinic, potentially reducing interruptions in HIV care during a global public health emergency.