Literature DB >> 28942713

Where is the evidence? The use of routinely-collected patient data to retain adults on antiretroviral treatment in low and middle income countries-a state of the evidence review.

Nena do Nascimento1, Catherine Barker1, Isabel Brodsky1.   

Abstract

Retention rates in antiretroviral treatment (ART) in low- and middle-income countries are suboptimal for meeting global "90-90-90" treatment targets. Interventions using routinely collected patient data to follow up with ART defaulters is recommended to improve retention; yet, little is documented on how these data are used in practice. This state of the evidence review summarizes how facilities and programmes use patient data to retain adults on ART in low- and middle-income countries, and what effect, if any, these interventions have on retention. The authors searched peer-reviewed and grey literature in PubMed, POPLINE, OVID, Google Scholar, and select webpages; screened publications for relevance; and applied eligibility criteria to select articles for inclusion. Over 4,000 records were found, of which 19 were eligible. Interventions assessed within the studies were sorted into three categories: patient tracing (18), data reviews (3), and improved data capture systems (9). Nine studies demonstrated increased retention or reduced lost to follow-up; however, the quality of evidence was weak. We recommend that future research investigates how various combinations of these interventions are being implemented and their effectiveness on ART retention across diverse country contexts, taking into account cultural, social and economic barriers and differences in countries' HIV epidemics and health information systems.

Entities:  

Keywords:  ART; HIV/AIDS; Retention; lost-to-follow-up; patient data; patient tracing

Mesh:

Substances:

Year:  2017        PMID: 28942713     DOI: 10.1080/09540121.2017.1381330

Source DB:  PubMed          Journal:  AIDS Care        ISSN: 0954-0121


  3 in total

1.  Can Self-Management Improve HIV Treatment Engagement, Adherence, and Retention? A Mixed Methods Evaluation in Tanzania and Uganda.

Authors:  Corrina Moucheraud; Amy F Stern; Anisa Ismail; Tamara Nsubuga-Nyombi; Monica M Ngonyani; Jane Mvungi; Jude Ssensamba
Journal:  AIDS Behav       Date:  2020-05

2.  Measuring retention in HIV care: the impact of data sources and definitions using routine data.

Authors:  Tamsin K Phillips; Catherine Orrell; Kirsty Brittain; Allison Zerbe; Elaine J Abrams; Landon Myer
Journal:  AIDS       Date:  2020-04-01       Impact factor: 4.632

3.  Implementation and applications of EMOD, an individual-based multi-disease modeling platform.

Authors:  Anna Bershteyn; Jaline Gerardin; Daniel Bridenbecker; Christopher W Lorton; Jonathan Bloedow; Robert S Baker; Guillaume Chabot-Couture; Ye Chen; Thomas Fischle; Kurt Frey; Jillian S Gauld; Hao Hu; Amanda S Izzo; Daniel J Klein; Dejan Lukacevic; Kevin A McCarthy; Joel C Miller; Andre Lin Ouedraogo; T Alex Perkins; Jeffrey Steinkraus; Quirine A Ten Bosch; Hung-Fu Ting; Svetlana Titova; Bradley G Wagner; Philip A Welkhoff; Edward A Wenger; Christian N Wiswell
Journal:  Pathog Dis       Date:  2018-07-01       Impact factor: 3.166

  3 in total

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