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LIVE: Living Analysis of HIV Implementation Science in Low-to-Middle Income Countries

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Studies by Year

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About the LIVE Project

LIVE is a living database of implementation methods for the cascade of HIV outcomes in low and middle income countries. As a collection, it may be useful for conducting systematic review and meta-analysis on intervention and implementation studies in epidemiology. LIVE is constantly improving thanks to a diverse group of academics spanning Washington University in St. Louis, Johns Hopkins University, New York University and the World Health Organization.

About the Team

Nathan Ford

Department of HIV/AIDS and Global Hepatitis Programme
World Health Organization

nathanpfordl@gmail.com

Elvin Geng

Division of Infectious Diseases
Washington University School of Medicine in St. Louis

elvin.geng@wustl.edu

Ingrid Eshun-Wilson

Division of Infectious Diseases
Washington University School of Medicine in St. Louis

i.eshun-wilsonova@wustl.edu

Branson Fox

Division of Infectious Diseases
Washington University School of Medicine in St. Louis

live@bransonf.com

Noelle Le Tourneau

Division of Infectious Diseases
Washington University School of Medicine in St. Louis

lnoelle@wustl.edu

Stefan Baral

Department of Epidemiology
Johns Hopkins School of Public Health

sbaral@jhu.edu

Sheree Schwartz

Department of Epidemiology
Johns Hopkins School of Public Health

sschwartz@jhu.edu

Laura Beres

Department of Epidemiology
Johns Hopkins School of Public Health

lberes1@jhu.edu

Christopher Kemp

Department of International Health
Johns Hopkins School of Public Health

ckemp11@jhu.edu

Ashley Underwood

Division of Infectious Diseases
Washington University School of Medicine in St. Louis

ashley.underwood@wustl.edu

Marie-Claude Lavoie

Department of Epidemiology and Public Health
University of Maryland School of Medicine

mlavoie@ihv.umaryland.edu

Ryan Thompson

Department of Global Health and Population
Harvard TH Chan School of Public Health

ryanthompson@g.harvard.edu

Sita Lujintanon

Department of Epidemiology
Johns Hopkins Bloomberg School of Public Health

slujint1@jhu.edu

Anna Bershteyn

Department of Population Health
Grossman School of Medicine New York University

anna.bershteynl@nyulangone.org

Hae-Young Kim

Division of Comparative Effectivenss and Decision Science
New York University Langone Health

hae-young.kim@nyulangone.org

Aaloke Mody

Division of Infectious Diseases
Washington University School of Medicine in St. Louis

aaloke.mody@wustl.edu

Kombatende Sikombe

Centre for Infectious Disease Research in Zambia

kombatende.sikombe@cidrz.org

Thomas Odeny

Division of Oncology
Washington University School of Medicine in St. Louis

odeny@wustl.edu

Related Projects

If you are interested in HIV implementation science research occuring within the United States, we recommend the HIV Implementation Literature Review Dashboard from the team at Northwestern.

Presentations and Publications

Le Tourneau, N., Kemp, C.G.., Beres, L., Schwartz, S., Baral, S., Geng E.H. Eshun-Wilson, I. (2022). Methods for Implementation Science Systematic Reviews. Presentation at the 15th Annual Conference on the Science of Dissemination and Implementation in Health 2022. Washington D.C., USA.
• https://academyhealth.confex.com/academyhealth/2022di/meetingapp.cgi/Paper/55576

Lujintanon, S., Eshun-Wilson, I., Le Tourneau, N, Beres, L., Schwartz, S., Baral, S., . . . Kemp, C.G. (2022). Commonality and co-occurrence of discrete strategies within implementation strategy bundles: Results from a living review of global HIV implementation research. Presentation at the 15th Annual Conference on the Science of Dissemination and Implementation in Health 2022. Washington D.C., USA.
• https://academyhealth.confex.com/academyhealth/2022di/meetingapp.cgi/Paper/55570

Eshun-Wilson I, Ford N, Le Tourneau N, Baral S, Schwartz S, Kemp C, Geng E. A Living Database of HIV Implementation Research (LIVE Project): Protocol for Rapid Living Reviews. JMIR Res Protoc. 2022 Oct 5;11(10):e37070.
• https://www.researchprotocols.org/2022/10/e37070/

Kemp, C., Lujintanon, S., Le Tourneau, N., Beres, L., Schwartz, S., Powell, B., . . . Eshun-Wilson, I. (2022). Expanding implementation strategy taxonomies to reflect published practice: mapping between ERIC, EPOC, and a living review of global HIV implementation research. Presentation at the Society for Implementation Research Collaboration Conference 2022. San Diego, California, USA.

Eshun-Wilson, I. (2022). Contextual and methodological heterogeneity in HIV guideline development. Presentation at AIDS 2022- 24th International AIDS Conference. Montreal, Canada.
• https://programme.aids2022.org/Programme/Session/181

Kemp, C. (2022). Implementation Strategies to Improve Global HIV Prevention and Treatment. Presentation at AIDS 2022- 24th International AIDS Conference. Montreal, Canada.
• https://programme.aids2022.org/Programme/Session/181

Lujintanon, S., Kemp, C. G., Eshun-Wilson, I., Beres, L., Schwartz, S., Baral, S., . . . Geng, E. H. (2022). How are interventions implemented to improve global HIV prevention and treatment? A systematic review of published implementation strategies used in low- and middle-income countries. Abstract at AIDS 2022- 24th International AIDS Conference. Montreal, Canada.
• https://www.abstract-archive.org/Abstract/Share/85673

Mirzazadeh, A., Eshun-Wilson, I., Thompson, R. R., Bonyani, A., Kahn, J. G., Baral, S. D., . . . Geng, E. H. (2022). Interventions to reengage people living with HIV who are lost to follow-up from HIV treatment programs: A systematic review and meta-analysis. PLOS Medicine, 19(3), e1003940. doi:10.1371/journal.pmed.1003940
• https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1003940

Schwartz, S. R., Chavez Ortiz, J., Smith, J. D., Beres, L. K., Mody, A., Eshun-Wilson, I., . . . Geng, E. (2022). Data Velocity in HIV-Related Implementation Research: Estimating Time From Funding to Publication. JAIDS Journal of Acquired Immune Deficiency Syndromes, 90(S1), S32-S40. doi:10.1097/qai.0000000000002963
• https://journals.lww.com/jaids/Fulltext/2022/06001/Data_Velocity_in_HIV_Related_Implementation.5.aspx

Le Tourneau, N., Germann, A., Thompson, R. R., Ford, N., Schwartz, S., Beres, L., . . . Eshun-Wilson, I. (2022). Evaluation of HIV treatment outcomes with reduced frequency of clinical encounters and antiretroviral treatment refills: A systematic review and meta-analysis. PLOS Medicine, 19(3), e1003959. doi:10.1371/journal.pmed.1003959
• https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1003959

Jamil, M. S., Eshun-Wilson, I., Witzel, T. C., Siegfried, N., Figueroa, C., Chitembo, L., . . . Johnson, C. (2021). Examining the effects of HIV self-testing compared to standard HIV testing services in the general population: A systematic review and meta-analysis. EClinicalMedicine, 38, 100991. doi:10.1016/j.eclinm.2021.100991
• https://www.thelancet.com/journals/eclinm/article/PIIS2589-5370(21)00271-6/fulltext

Ford, N., Eshun-Wilson, I., Ameyan, W., Newman, M., Vojnov, L., Doherty, M., & Geng, E. (2021). Future directions for HIV service delivery research: Research gaps identified through WHO guideline development. PLOS Medicine, 18(9), e1003812. doi:10.1371/journal.pmed.1003812
• https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1003812

Eshun-Wilson, I., Jamil, M. S., Witzel, T. C., Glidded, D. V., Johnson, C., Le Trouneau, N., . . . Geng, E. H. (2021). A Systematic Review and Network Meta-analyses to Assess the Effectiveness of Human Immunodeficiency Virus (HIV) Self-testing Distribution Strategies. Clinical Infectious Diseases, 73(4), e1018-e1028. doi:10.1093/cid/ciab029
• https://academic.oup.com/cid/article/73/4/e1018/6104544

Eshun-Wilson, I., Awotiwon, A. A., Germann, A., Amankwaa, S. A., Ford, N., Schwartz, S., . . . Geng, E. H. (2021). Effects of community-based antiretroviral therapy initiation models on HIV treatment outcomes: A systematic review and meta-analysis. PLOS Medicine, 18(5), e1003646. doi:10.1371/journal.pmed.1003646
• https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1003646

Witzel, T. C., Eshun-Wilson, I., Jamil, M. S., Tilouche, N., Figueroa, C., Johnson, C. C., . . . Weatherburn, P. (2020). Comparing the effects of HIV self-testing to standard HIV testing for key populations: a systematic review and meta-analysis. BMC Medicine, 18(1). doi:10.1186/s12916-020-01835-z
• https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-020-01835-z

Le Tourneau, N., Thompson, R. R., Germann, A., Eshun-Wilson, I., & Geng, E. H. (2020). Reducing facility appointment frequency to improve retention in care among clinically stable, HIV positive patients: A systematic review and meta-analysis. Abstract at AIDS 2020 -23rd International AIDS Conference. San Francisco, California, USA.
• https://www.abstract-archive.org/Abstract/Share/82682

Addendum on Actor, Action, Target Taxonomies

In July of 2022, 18 months after the initial release of our dashboard, and several years after data collection began, we made a targeted effort to re-classify our existing data mapping. We aim to more closely align with existing taxonomies in use for implementation science, such as ERIC. Below is a graphical representation of this mapping:

Actor/Target Taxonomies

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Action Taxonomies

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Overview of Strategy Features

Throughout the dashboard, we define a "strategy" as any combination of:
Actor * Action * Target * Delivery * Location * Cascade Target

There are often many strategies embedded in a single study, within or across multiple arms of the study.
Active controls and the standard of care are not included as strategies.

Actors

The actor is the stakeholder in the study that actually delivers the implementation action. There may be multiple actors for an action. There also may be one actor implementing multiple actions.
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Action Categories

The Action Category is the type of activity performed in the study.
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Action Target

Action target is the specific population that the actor aims to change and that the action is aimed at.
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Delivery Mode

Delivery mode describes how the actor delivers the action to the target population (in-person, telephone, SMS, etc.).
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Locations

Location is the place where the actor delivers the action.
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Cascade Target

Cascade Target describes the stage of the HIV care continuum that an action aims to address.
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The Michie Framework

The behaviour change wheel (Michie et al) is a model in implementation science to characterize the targets of an intervention on creating behavioural change.
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Michie Behavioural Target

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Michie Intervention Function

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Michie Policy Function

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Compare Strategy Features over Time

Click the box below to search for and add strategy features to observe their application over time. Note that strategies are measured as unique within each year.
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Implementation Strategies

Strategy

Feature to Compare

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All Articles Indexed to-Date

If enabled, you may click on a study to see an action diagram. Disable to more easily click through study URLs.
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