Browsing by Author "Petersen, Maya L."
Now showing 1 - 7 of 7
Results Per Page
Sort Options
Item Early Adopters of Human Immunodeficiency Virus Pre-exposure Prophylaxis in a Population-based Combination Prevention Study in Rural Kenya and Uganda(Clinical Infectious Diseases, 2018) Koss, Catherine A.; Ayieko, James; Mwangwa, Florence; Owaraganise, Asiphas; Kwarisiima, Dalsone; Kabami, Jane; Bukusi, Elizabeth A.; Charlebois, Edwin D.; Petersen, Maya L.; Kamya, Moses R.; Havlir, Diane V.; for the SEARCH CollaborationGlobal guidelines recommend preexposure prophylaxis (PrEP) for individuals with substantial human immunodeficiency virus (HIV) risk. Data on PrEP uptake in sub-Saharan Africa outside of clinical trials are limited. We report on “early adopters” of PrEP in the Sustainable East Africa Research in Community Health (SEARCH) study in rural Uganda and Kenya. After community mobilization and PrEP education, population-based HIV testing was conducted. HIV-uninfected adults were offered PrEP based on an empirically derived HIV risk score or self-identified HIV risk (if not identified by score). Using logistic regression, we analyzed predictors of early PrEP adoption (starting PrEP within 30 days vs delayed/no start) among adults identified for PrEP. Of 21212 HIV-uninfected adults in 5 communities, 4064 were identified for PrEP (2991 by empiric risk score, 1073 by self-identified risk). Seven hundred and thirty nine individuals started PrEP within 30 days (11% of those identified by risk score; 39% of self-identified); 77% on the same day. Among adults identified by risk score, predictors of early adoption included male sex (adjusted odds ratio 1.53; 95% confidence interval, 1.09–2.15), polygamy (1.92; 1.27–2.90), serodiscordant spouse (3.89; 1.18–12.76), self-perceived HIV risk (1.66; 1.28–2.14), and testing at health campaign versus home (5.24; 3.33–8.26). Among individuals who self-identified for PrEP, predictors of early adoption included older age (2.30; 1.29–4.08) and serodiscordance (2.61; 1.01–6.76). Implementation of PrEP incorporating a population-based empiric risk score, self-identified risk, and rapid initiation, is feasible in rural East Africa. Strategies are needed to overcome barriers to PrEP uptake, particularly among women and youth.Item Gendered dimensions of population mobility associated with HIV across three epidemics in rural Eastern Africa(Theoretical Medicine and Bioethics, 2008) Camlin, Carol S.; Akullian, Adam; Neilands, Torsten B.; Getahun, Monica; Bershteyn, Anna; Ssali, Sarah; Geng, Elvin; Gandhi, Monica; Cohen, Craig R.; Maeri, Irene; Eyul, Patrick; Petersen, Maya L.; Havlir, Diane V.; Kamya, Moses R.; Bukusi, Elizabeth A.; Charlebois, Edwin D.Mobility in sub-Saharan Africa links geographically-separate HIV epidemics, intensifies transmission by enabling higher-risk sexual behavior, and disrupts care. This population-based observational cohort study measured complex dimensions of mobility in rural Uganda and Kenya. Survey data were collected every 6 months beginning in 2016 from a random sample of 2308 adults in 12 communities across three regions, stratified by intervention arm, baseline residential stability and HIV status. Analyses were survey-weighted and stratified by sex, region, and HIV status. In this study, there were large differences in the forms and magnitude of mobility across regions, between men and women, and by HIV status. We found that adult migration varied widely by region, higher proportions of men than women migrated within the past one and five years, and men predominated across all but the most localized scales of migration: a higher proportion of women than men migrated within county of origin. Labor-related mobility was more common among men than women, while women were more likely to travel for non-labor reasons. Labor-related mobility was associated with HIV positive status for both men and women, adjusting for age and region, but the association was especially pronounced in women. The forms, drivers, and correlates of mobility in eastern Africa are complex and highly gendered. An in-depth understanding of mobility may help improve implementation and address gaps in the HIV prevention and care continua.Item High Levels of Retention in Care with Streamlined Care and Universal Test-and-Treat in East Africa(AIDS, 2016) Brown, Lillian B.; Havlir, Diane V.; Ayieko, James; Mwangwa, Florence; Owaraganise, Asiphas; Kwarisiima, Dalsone; Tamara, Clark; Bukusi, Elizabeth A.; Kamya, Moses R.; Petersen, Maya L.; Charlebois, Edwin D.; The Search CollaborationWe sought to measure retention in care and identify predictors of non-retention among patients receiving ART with streamlined delivery during the first year of the ongoing SEARCH “test-and-treat” trial (NCT 01864603) in rural Uganda and Kenya. Prospective cohort of patients in the intervention arm of the SEARCH Study. We measured retention in care at 12 months among HIV-infected adults who linked to care and were offered ART regardless of CD4 cell count, following community-wide HIV-testing. Kaplan-Meier estimates and Cox proportional hazards modeling were used to calculate the probability of retention at one year and identify predictors of non-retention. Among 5,683 adults (age ≥ 15) who linked to care, 95.5% (95% CI: 92.9 – 98.1%) were retained in care at 12 months. The overall probability of retention at one year was 89.3% (95% CI: 87.6 – 90.7%) among patients newly linking to care and 96.4% (95% CI: 95.8 – 97.0%) among patients previously in care. Younger age and pre-ART CD4 below country treatment initiation guidelines were predictors of non-retention among all patients. Among those newly linking, taking more than 30 days to link to care after HIV diagnosis was additionally associated with non-retention at one year. HIV viral load suppression at 12 months was observed in 4,227/4736 (89%) of patients retained with valid viral load results. High retention in care and viral suppression after 1 year were achieved in a streamlined HIV care delivery system in the context of a universal test-and-treat intervention.Item The Impact of Different CD4 Cell-Count Monitoring and Switching Strategies on Mortality in HIV-Infected African Adults on Antiretroviral Therapy: An Application of Dynamic Marginal Structural Models(American journal of epidemiology, 2015) Ford, Deborah; Petersen, Maya L.; Mugyenyi, Peter; Katabira, Elly; Hakim, James; Babiker, Abdel G.; Walker, A. SarahIn Africa, antiretroviral therapy (ART) is delivered with limited laboratory monitoring, often none. In 2003–2004, investigators in the Development of Antiretroviral Therapy in Africa (DART) Trial randomized persons initiating ART in Uganda and Zimbabwe to either laboratory and clinical monitoring (LCM) or clinically driven monitoring (CDM). CD4 cell counts were measured every 12 weeks in both groups but were only returned to treating clinicians for management in the LCM group. Follow-up continued through 2008. In observational analyses, dynamic marginal structural models on pooled randomized groups were used to estimate survival under different monitoring-frequency and clinical/immunological switching strategies. Assumptions included no direct effect of randomized group on mortality or confounders and no unmeasured confounders which influenced treatment switch and mortality or treatment switch and time-dependent covariates. After 48 weeks of first-line ART, 2,946 individuals contributed 11,351 person-years of follow-up, 625 switches, and 179 deaths. The estimated survival probability after a further 240 weeks for post-48-week switch at the first CD4 cell count less than 100 cells/mm3 or non-Candida World Health Organization stage 4 event (with CD4 count <250) was 0.96 (95% confidence interval (CI): 0.94, 0.97) with 12-weekly CD4 testing, 0.96 (95% CI: 0.95, 0.97) with 24-weekly CD4 testing, 0.95 (95% CI: 0.93, 0.96) with a single CD4 test at 48 weeks (baseline), and 0.92 (95% CI: 0.91, 0.94) with no CD4 testing. Comparing randomized groups by 48-week CD4 count, the mortality risk associated with CDM versus LCM was greater in persons with CD4 counts of <100 (hazard ratio = 2.4, 95% CI: 1.3, 4.3) than in those with CD4 counts of ≥100 (hazard ratio = 1.1, 95% CI: 0.8, 1.7; interaction P = 0.04). These findings support a benefit from identifying patients immunologically failing first-line ART at 48 weeks.Item The Impact of Different CD4 Cell-Count Monitoring and Switching Strategies on Mortality in HIV-Infected African Adults on Antiretroviral Therapy: An Application of Dynamic Marginal Structural Models(American journal of epidemiology, 2015) Ford, Deborah; Robins, James M.; Petersen, Maya L.; Gibb, Diana M.; Gilks, Charles F.; Mugyenyi, Peter; Grosskurth, Heiner; Hakim, James; Katabira, Elly; Babiker, Abdel G.; Walker, A. SarahIn Africa, antiretroviral therapy (ART) is delivered with limited laboratory monitoring, often none. In 2003–2004, investigators in the Development of Antiretroviral Therapy in Africa (DART) Trial randomized persons initiating ART in Uganda and Zimbabwe to either laboratory and clinical monitoring (LCM) or clinically driven monitoring (CDM). CD4 cell counts were measured every 12 weeks in both groups but were only returned to treating clinicians for management in the LCM group. Follow-up continued through 2008. In observational analyses, dynamic marginal structural models on pooled randomized groups were used to estimate survival under different monitoring-frequency and clinical/immunological switching strategies. Assumptions included no direct effect of randomized group on mortality or confounders and no unmeasured confounders which influenced treatment switch and mortality or treatment switch and time-dependent covariates. After 48 weeks of first-line ART, 2,946 individuals contributed 11,351 personyears of follow-up, 625 switches, and 179 deaths. The estimated survival probability after a further 240 weeks for post-48-week switch at the first CD4 cell count less than 100 cells/mm3 or non-Candida World Health Organization stage 4 event (with CD4 count <250) was 0.96 (95% confidence interval (CI): 0.94, 0.97) with 12-weekly CD4 testing, 0.96 (95% CI: 0.95, 0.97) with 24-weekly CD4 testing, 0.95 (95% CI: 0.93, 0.96) with a single CD4 test at 48 weeks (baseline), and 0.92 (95% CI: 0.91, 0.94) with no CD4 testing. Comparing randomized groups by 48-week CD4 count, the mortality risk associated with CDM versus LCM was greater in persons with CD4 counts of <100 (hazard ratio = 2.4, 95% CI: 1.3, 4.3) than in those with CD4 counts of ≥100 (hazard ratio = 1.1, 95% CI: 0.8, 1.7; interaction P = 0.04). These findings support a benefit from identifying patients immunologically failing first-line ART at 48 weeks.Item Predictors of Retention in HIV Care among Youth (15–24) in a Universal Test-and-Treat Setting in Rural Kenya(Journal of acquired immune deficiency syndromes, 2017) Brown, Lillian B.; Ayieko, James; Mwangwa, Florence; Owaraganise, Asiphas; Kwarisiima, Dalsone; Bukusi, Elizabeth A.; Kamya, Moses R.; Petersen, Maya L.; Charlebois, Edwin D.; Havlir, Diane V.n 2013, 4 million youth age 15–24 years were living with HIV and 85% of HIV-infected youth live in sub-Saharan Africa1, where AIDS is the number-one cause of death of adolescents2. The magnitude of the HIV epidemic among youth in sub-Saharan Africa is expected to increase as demographic projections predict a “youth bulge”, increasing the population at risk for new infections, and leading to a doubling of the 15–24 year old HIV-infected cohort in sub-Saharan Africa by 20203. Retention in HIV care among this age group is essential to maximizing the benefits of antiretroviral therapy (ART), including improved quality of life, greater life expectancy, and prevention of new infections. Prior to guidelines for universal treatment, HIV-infected youth who started ART were more likely to be lost to follow-up4–6, report lower adherence4,6, and were more likely to have detectable viral loads than older age groups4,5,7. After two years of universal HIV testing and treatment in rural east Africa as part of the Sustainable East Africa Research in Community Health (SEARCH) trial, 82% of all adults with HIV in intervention communities were virally suppressed compared to only 67% of those age 15–248. These data suggest that even when high levels of viral suppression are achieved at the population level, current disparities could be exacerbated under universal treatment unless engagement in care among youth is specifically addressed. Understanding factors associated with retention in care, including any unique predictors, among this vulnerable age group will help develop additional interventions. We describe predictors of 12-month retention in HIV care among youth (15–24 years) who are linking to HIV care for the first time in rural Kenya as part of the ongoing SEARCH universal test-and-treat trial and compare these to young adults (25–29 years) and older adults (≥30 years).Item Uptake and Outcomes of a Novel Community-Based HIV Post-exposure Prophylaxis (PEP) Programme in Rural Kenya and Uganda(Journal of the International AIDS Society, 2021) Ayieko, James; Petersen, Maya L.; Kabami, Jane; Mwangwa, Florence; Nyabuti, Marilyn; Charlebois, Edwin D.; Bukusi, Elizabeth A.; Kamya, Moses R.; Havlir, Diane V.Antiretroviral-based HIV prevention, including pre-exposure prophylaxis (PrEP), is expanding in generalized epidemic settings, but additional prevention options are needed for individuals with periodic, high-risk sexual exposures. Non-occupational post-exposure prophylaxis (PEP) is recommended in global guidelines. However, in Africa, awareness of and access to PEP for sexual exposures are limited. We assessed feasibility, acceptability, uptake and adherence in a pilot study of a patient-centred PEP programme with options for facility- or community-based service delivery. After population-level HIV testing with universal access to PrEP for persons at elevated HIV risk (SEARCH Trial:NCT01864603), we conducted a pilot PEP study in five rural communities in Kenya and Uganda between December 2018 and May 2019. We assessed barriers to PEP in the population and implemented an intervention to address these barriers, building on existing in-country PEP protocols. We used community leaders for sensitization. Test kits and medications were acquired through the Ministry of Health supply chain and healthcare providers based at the Ministry of Health clinics were trained on PEP delivery. Additional intervention components were (a)PEP availability seven days/week, (b)PEP hotline staffed by providers and (c)option for out-of-facility medication delivery. We assessed implementation using the Proctor framework and measured seroconversions via repeat HIV testing. Successful “PEP completion” was defined as self-reported adherence over four weeks of therapy with post-PEP HIV testing. Community leaders were able to sensitize and mobilize for PEP. The Ministry of Health supplied test kits and PEP medications; after training, healthcare providers delivered the 28-day regimen with high completion rates. Among 124 persons who sought PEP, 66% were female, 24% were ≤25 years and 42% were fisherfolk. Of these, 20% reported exposure with a serodifferent partner, 72% with a new or existing relationship and 7% from transactional sex. 12% of all visits were conducted at out-of-facility community-based sites; 35% of participants had ≥1 out-of-facility visit. No serious adverse events were reported. Overall, 85% met the definition of PEP completion. There were no HIV seroconversions. Among individuals with elevated-risk exposures in rural East African communities, patient-centred PEP was feasible, acceptable and provides a promising addition to the current prevention toolkit.