Evidence map›Paper›PMID 28682799›Full record

ReviewCurrent opinion in HIV and AIDS2017

Online-to-offline models in HIV service delivery.

Tarandeep Anand, Chattiya Nitpolprasert, Nittaya Phanuphak

Abstract readReview
In one paragraph

Review in Current opinion in HIV and AIDS, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

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  12. Journal of health care for the poor and underserved · 2021
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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

3 authors.

Tarandeep AnandThe Thai Red Cross AIDS Research Centre, Bangkok, Thailand.
Chattiya Nitpolprasert
Nittaya Phanuphak

Funding

The Asia-Pacific HIV Research CollaborationU01AI069907 · NIAID · FOUNDATION FOR AIDS RESEARCH · PI ANNETTE H SOHN · 2006 to 2026
$44.8M
NIAID NIH HHS U01 AI069907
6 · The paper itself

Abstract

purpose of reviewHalf the world's population has access to Internet and technologies, and utilization is near-ubiquitous among providers and key populations. Despite being so well connected; identifying, reaching and linking vulnerable populations to HIV clinical services remains a global challenge. This review highlights the emerging online-to-offline (O2O) models, their potential in scaling up services, and evaluating impact, and implications for future research. RECENT

findingsGlobally, four major types of O2O models have been implemented, primarily in the West and Asia, especially among MSM and transgender women. These models have varying levels of impact in terms of reach, engagement, participation, linkage, and ability to track and monitor participants, and assess outcomes. Those integrated with offline sites enable seamless transition, dramatically reduce the O2O linkage time and demonstrate high linkage success (>73%). O2O models are ideal for at-risk, stigmatized, criminalized populations and for scaling-up biomedical prevention interventions such as preexposure and postexposure prophylaxis. SUMMARY: O2O models represent novel and powerful solutions to reverse the pandemic and could help fill significant programmatic gaps in tracking individuals through HIV cascades. Providers, especially in resource-limited settings, could choose between a variety of current approaches highlighted in this review and employ no-cost or cost-effective technologies to transform their traditional models and leverage O2O models.

Indexed as

HIV InfectionsInternetAsiaCost-Benefit AnalysisDelivery of Health CareFemaleHomosexuality, MaleHumansMaleTransgender Persons

Identifiers

PMID28682799
PMCPMC5642119

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.