Evidence map›Paper›PMID 32014116›Full record

ReviewThe lancet. HIV2020

Novel metric for evaluating pre-exposure prophylaxis programme effectiveness in real-world settings.

Cheryl Hendrickson, Lawrence Long, David van de Vijver, Charles Boucher, Heidi O'Bra, Cassidy W Claassen, Mwansa Njelesani, Crispin Moyo, Daliso B Mumba, Hasina Subedar and 3 more

Open access · greenAbstract readReview
In one paragraph

Review in The lancet. HIV, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.3field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 9 institutions in 4 countries.

Cheryl HendricksonHealth Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Lawrence LongHealth Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Department of Global Health, School of Public Health, Boston University, Boston, MA, USA.
David van de VijverDepartment of Viroscience, Erasmus University Medical Center, Rotterdam, Netherlands.
Charles BoucherDepartment of Viroscience, Erasmus University Medical Center, Rotterdam, Netherlands.
Heidi O'BraUnited States Agency for International Development (USAID), Lusaka, Zambia.
Cassidy W ClaassenCenter for International Health, Education, and Biosecurity, Institute of Human Virology, University of Maryland School of Medicine, Lusaka, Zambia.
Mwansa NjelesaniUSAID DISCOVER-Health, John Snow, Lusaka, Zambia.
Crispin MoyoRight to Care, Lusaka, Zambia.
Daliso B MumbaNational HIV/AIDS/STI/TB Council, Lusaka, Zambia.
Hasina SubedarSouth African National Department of Health, Pretoria, South Africa.
Lloyd MulengaMinistry of Health, Lusaka, Zambia.
Sydney RosenHealth Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Department of Global Health, School of Public Health, Boston University, Boston, MA, USA.
Brooke E NicholsHealth Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Department of Global Health, School of Public Health, Boston University, Boston, MA, USA. Electronic address: brooken@bu.edu.
Boston University · USErasmus MC · NLDepartment of Health · ZAMinistry of Health · ZMNational HIV/AIDS/STI/TB Council · ZMRight to Care · ZMUnited States Agency for International Development · USUniversity of Maryland, Baltimore · USUniversity of the Witwatersrand · ZA

Funding

Partnership for Global Health Research Training Program (Renewal)-Supplement for OBSSR, NCI, NCI-AIDS and NIDCDD43TW010543 · FIC · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Wafaie W Fawzi, DAVIDSON HOWES HAMER · 2017 to 2026
$12.1M
FIC NIH HHS D43 TW010543
6 · The paper itself

Abstract

Although large-scale provision of HIV pre-exposure prophylaxis (PrEP) is gaining momentum, no systematic method to evaluate or compare the effectiveness of different scale-up strategies in real-world settings exists. To date, estimating the effectiveness of PrEP has relied on clinical trials or mathematical models. We propose a novel and pragmatic metric to evaluate and compare programme effectiveness using routine implementation data. Using South African and Zambian PrEP guidelines, we provide two examples of how to consistently measure PrEP-programme effectiveness with routinely collected data. PrEP effectiveness should account for HIV seroconversion, the variable risk of HIV infection (seasons of risk) estimated with routine risk assessment at each clinic visit (when available), and the persistence of PrEP use. Three criteria should be met in order to be considered a successful outcome: first, a person who initiates PrEP must not seroconvert; second, there should be no more than one period at high risk of HIV infection during the follow-up period when not taking PrEP; and finally, an individual must continue to attend health-care visits or discontinue prophylaxis in consultation with a health-care provider within a specified follow-up period. The number of PrEP successes could then be compared with the total number of people initiating PrEP to establish a success ratio. This outcome is a useful and easily interpretable metric to monitor effectiveness of PrEP programmes with routinely collected clinical data and can be used in cost-effectiveness analyses. These measurements allow for comparisons of scale-up strategies for PrEP programmes and, if widely adopted, will allow comparative studies of different approaches for PrEP service delivery.

Indexed as

Program EvaluationAnti-HIV AgentsCost-Benefit AnalysisHIV InfectionsHumansPre-Exposure ProphylaxisAnti-HIV Agents

Identifiers

PMID32014116
PMCPMC7263446
OpenAlexW3003553872

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.