Literature DB >> 31517954

Evidence for optimal HIV screening and testing intervals in HIV-negative individuals from various risk groups: A systematic review.

K Timmerman1, M Weekes2, G Traversy2, P Prabakhar3, T Austin1, S Ha1, B Anwar1.   

Abstract

BACKGROUND: Human immunodeficiency virus (HIV) testing plays a crucial role in Canada's HIV prevention and treatment efforts and is the first step to achieving the Joint United Nations Programme on HIV/AIDS (UNAIDS) 90-90-90 targets; however, how often Canadians, including populations at increased risk of HIV exposure, should be tested is unclear. We conducted a systematic literature review to determine the optimal HIV screening and testing intervals.
OBJECTIVE: To examine the current evidence on HIV testing intervals in HIV-negative individuals from various risk groups and to assess the potential harms and patients' values and preferences associated with different testing frequencies.
METHODS: We searched MEDLINE/PubMed, Scopus, Embase, the Cochrane Library, PsychINFO and EconLit for studies on different frequencies of HIV testing published between January 2000 and September 2016. An additional search was conducted for grey literature published between January 2000 and October 2016. Data extraction included study characteristics, participants, exposure, outcomes and economic variables. The quality of the studies was assessed and results summarized.
RESULTS: Of the 2,702 articles identified from the searches, 27 met the inclusion criteria for review. This included assessments of HIV testing intervals among the general population, men who have sex with men, people who use injection drugs and sex workers. Optimal testing intervals across risk groups ranged from one-time testing to every three months. Data from modelling studies may not be representative of the Canadian context. Few studies identified potential harms of increased screening, specifically an increase in both false positive and false negative results. There were only two studies that addressed patient values and preferences concerning HIV screening, which suggested that the majority of participants were amenable to routine screening through their primary care provider.
CONCLUSION: There was insufficient evidence to support optimal HIV screening and testing intervals for different populations. Context-specific factors, such as budget allocation, human resources, local epidemiology, socioeconomic factors and risk behaviours, along with clinical judgement, inform whom and how often to screen, suggesting the need for research specific to Canada. Research on patient preferences as well as the benefits and harms of more frequent screening are also indicated.

Entities:  

Keywords:  HIV screening; HIV testing intervals; high risk populations; men who have sex with men; sex workers

Year:  2018        PMID: 31517954      PMCID: PMC6707414          DOI: 10.14745/ccdr.v44i12a05

Source DB:  PubMed          Journal:  Can Commun Dis Rep        ISSN: 1188-4169


  37 in total

1.  Repeat screening for HIV: when to test and why.

Authors:  E H Kaplan; G A Satten
Journal:  J Acquir Immune Defic Syndr       Date:  2000-04-01       Impact factor: 3.731

2.  Modeling for health care and other policy decisions: uses, roles, and validity.

Authors:  M C Weinstein; E L Toy; E A Sandberg; P J Neumann; J S Evans; K M Kuntz; J D Graham; J K Hammitt
Journal:  Value Health       Date:  2001 Sep-Oct       Impact factor: 5.725

3.  Cost-effectiveness of HIV rescreening during late pregnancy to prevent mother-to-child HIV transmission in South Africa and other resource-limited settings.

Authors:  Sada Soorapanth; Stephanie Sansom; Marc Bulterys; Mitchell Besser; Gerhard Theron; Mary Glenn Fowler
Journal:  J Acquir Immune Defic Syndr       Date:  2006-06       Impact factor: 3.731

4.  Racial/ethnic attitudes towards HIV testing in the primary care setting.

Authors:  Emma M Simmons; Michelle L Rogers; Georita M Frierson; Curt G Beckwith; Timothy P Flanigan
Journal:  J Natl Med Assoc       Date:  2005-01       Impact factor: 1.798

5.  The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration.

Authors:  Alessandro Liberati; Douglas G Altman; Jennifer Tetzlaff; Cynthia Mulrow; Peter C Gøtzsche; John P A Ioannidis; Mike Clarke; P J Devereaux; Jos Kleijnen; David Moher
Journal:  J Clin Epidemiol       Date:  2009-07-23       Impact factor: 6.437

6.  Sex workers can be screened too often: a cost-effectiveness analysis in Victoria, Australia.

Authors:  David P Wilson; Kelly-Jean Heymer; Jonathan Anderson; Jody O'Connor; Christine Harcourt; Basil Donovan
Journal:  Sex Transm Infect       Date:  2009-10-20       Impact factor: 3.519

7.  Expanded HIV screening in the United States: effect on clinical outcomes, HIV transmission, and costs.

Authors:  A David Paltiel; Rochelle P Walensky; Bruce R Schackman; George R Seage; Lauren M Mercincavage; Milton C Weinstein; Kenneth A Freedberg
Journal:  Ann Intern Med       Date:  2006-12-05       Impact factor: 25.391

8.  Cost-effectiveness of screening for HIV in the era of highly active antiretroviral therapy.

Authors:  Gillian D Sanders; Ahmed M Bayoumi; Vandana Sundaram; S Pinar Bilir; Christopher P Neukermans; Chara E Rydzak; Lena R Douglass; Laura C Lazzeroni; Mark Holodniy; Douglas K Owens
Journal:  N Engl J Med       Date:  2005-02-10       Impact factor: 91.245

9.  Expanded screening for HIV in the United States--an analysis of cost-effectiveness.

Authors:  A David Paltiel; Milton C Weinstein; April D Kimmel; George R Seage; Elena Losina; Hong Zhang; Kenneth A Freedberg; Rochelle P Walensky
Journal:  N Engl J Med       Date:  2005-02-10       Impact factor: 91.245

10.  Determining an optimal testing strategy for infants at risk for mother-to-child transmission of HIV-1 during the late postnatal period.

Authors:  Elizabeth Brown; Benjamin H Chi; Jennifer S Read; Taha E Taha; Usha Sharma; Irving F Hoffman; Cheryl Pikora; Robert Goldenberg; Susan A Fiscus
Journal:  AIDS       Date:  2008-11-12       Impact factor: 4.177

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