The promise of antiretroviral therapy (ART) to provide renewed health is now being realized for millions of Africans. As HIV care and treatment programs are implemented throughout Africa, careful monitoring of their effectiveness is of crucial importance, so that care and treatment resources can be deployed to optimal benefit. Immunologic and clinical responses to ART, retention in care, and behavioral components (e.g., treatment adherence) need to be elucidated and predictors of survival defined. The impact of HIV and ART on cancers in Africa is essentially undescribed, and interactions with major ambient co-morbidities such as malaria are poorly understood. We propose a new Central Africa leDEA (CA-leDEA), designed to optimize and augment scientific productivity and rapid, high-impact publications;we will 1.) Compile and manage secondary source patient-level data on a large volume of patients through a.) extraction from existing electronic data, or b.) new on-the-ground systems for efficient capture of clinical data in low-resource clinical settings;2.) Develop a creative and flexible scientific process that fosters high throughput of many analyses of data to answer epidemiologic, operational and other HIV-related research questions, culminating in high- impact publications;and 3.) Develop capacity for independent research, data management, analysis and publication in each of the Central African countries over five to ten years, ensuring the sustainability of CA-leDEA. Our team brings a long history in the region of research productivity and operational success, as well as innovative IT development to support research, with complementary skills and experience to optimize the activities of CA-leDEA. Four of our partners are the implementers of HIV care services (i.e., the governments) and the fifth partner, WE-ACTx Rwanda, brings patient volume, research experience and special resources to investigate AIDS malignancies. We will develop an administrative and data management infrastructure that supports the implementation of epidemiologic and implementation science to answer key questions in HIV care and treatment in lower-resource settings, with integrated research teams in the US, Cameroon and Rwanda.

Public Health Relevance

Sub-Saharan Africa bears the greatest burden of HIV disease globally. Research to define clinical and epidemiologic predictors of treatment success is needed to guide clinicians caring for persons with HIV. In addition, implementation science can guide policy makers and program implementers on service delivery mechanisms to provide most efficient use of treatment resources and the optimal gain to the public's health.

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Project--Cooperative Agreements (U01)
Project #
1U01AI096299-01
Application #
8190086
Study Section
Special Emphasis Panel (ZAI1-BB-A (M2))
Program Officer
Zimand, Lori B
Project Start
2011-07-15
Project End
2016-06-30
Budget Start
2011-07-15
Budget End
2012-06-30
Support Year
1
Fiscal Year
2011
Total Cost
$848,891
Indirect Cost
Name
Albert Einstein College of Medicine
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
110521739
City
Bronx
State
NY
Country
United States
Zip Code
10461
Yumo, Habakkuk Azinyui; Kuaban, Christopher; Ajeh, Rogers Awoh et al. (2018) Active case finding: comparison of the acceptability, feasibility and effectiveness of targeted versus blanket provider-initiated-testing and counseling of HIV among children and adolescents in Cameroon. BMC Pediatr 18:309
Vreeman, Rachel C; Ayaya, Samuel O; Musick, Beverly S et al. (2018) Adherence to antiretroviral therapy in a clinical cohort of HIV-infected children in East Africa. PLoS One 13:e0191848
Parcesepe, Angela M; Mugglin, Catrina; Nalugoda, Fred et al. (2018) Screening and management of mental health and substance use disorders in HIV treatment settings in low- and middle-income countries within the global IeDEA consortium. J Int AIDS Soc 21:e25101
Bailey, Stephanie L; Bono, Rose S; Nash, Denis et al. (2018) Implementing parallel spreadsheet models for health policy decisions: The impact of unintentional errors on model projections. PLoS One 13:e0194916
Hu, Yirui; Hoover, Donald R (2018) Non-randomized and randomized stepped-wedge designs using an orthogonalized least squares framework. Stat Methods Med Res 27:1202-1218
Wandeler, Gilles; Coffie, Patrick A; Kuniholm, Mark H et al. (2018) Issues with measuring hepatitis prevalence in resource-limited settings. Lancet 391:835-836
Ross, Jonathan; Edmonds, Andrew; Hoover, Donald R et al. (2018) Association between pregnancy at enrollment into HIV care and loss to care among women in the Democratic Republic of Congo, 2006-2013. PLoS One 13:e0195231
IeDEA and COHERE Cohort Collaborations (2018) Global Trends in CD4 Cell Count at the Start of Antiretroviral Therapy: Collaborative Study of Treatment Programs. Clin Infect Dis 66:893-903
Haas, Andreas D; Zaniewski, Elizabeth; Anderegg, Nanina et al. (2018) Retention and mortality on antiretroviral therapy in sub-Saharan Africa: collaborative analyses of HIV treatment programmes. J Int AIDS Soc 21:
Wools-Kaloustian, Kara; Marete, Irene; Ayaya, Samuel et al. (2018) Time to First-Line ART Failure and Time to Second-Line ART Switch in the IeDEA Pediatric Cohort. J Acquir Immune Defic Syndr 78:221-230

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