Evidence map›Paper›PMID 30955450›Full record

SynthesisGlobal public health2019

Strength-based interventions for HIV prevention and sexual risk reduction among girls and young women: A resilience-focused systematic review.

Ashleigh LoVette, Caroline Kuo, Abigail Harrison

Open access · greenAbstract readSystematic Review
In one paragraph

Synthesis in Global public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 37 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

3 authors at 1 institution in 1 country.

Ashleigh LoVetteDepartment of Behavioral and Social Sciences, Brown University School of Public Health , Providence , RI , USA.ORCID 0000-0003-1535-7291
Caroline KuoDepartment of Behavioral and Social Sciences, Brown University School of Public Health , Providence , RI , USA.
Abigail HarrisonDepartment of Behavioral and Social Sciences, Brown University School of Public Health , Providence , RI , USA.
Brown University · US

Funding

Science/Technical CoreP2CHD041020 · NICHD · BROWN UNIVERSITY · PI ZHENCHAO QIAN · 2016 to 2026
$7.6M
Advancing the Culture of PhD Learning & Scholarship in Biology & Health SciencesR25GM083270 · NIGMS · BROWN UNIVERSITY · PI CAMPBELL, ANDREW G., HARRINGTON, ELIZABETH O · 2008 to 2021
$7.5M
NICHD NIH HHS P2C HD041020NIGMS NIH HHS R25 GM083270
6 · The paper itself

Abstract

Despite significant public health efforts, girls and young women still face gender-specific barriers to achieving optimal physical and mental health. Public health interventions have historically addressed the health needs of girls and young women using risk-focused, or deficit-based, approaches. Emerging research in public health and prevention provides an alternative approach, focusing instead on strengths and resilience. However, evidence remains limited regarding strength-based interventions to improve health outcomes for young women, including outcomes within the critically important areas of sexual and reproductive health. To address this gap in evidence, this review analyses the evidence base for intervention research using a strength-based resilience-focused approach to reduce HIV and sexual risk for girls and young women globally. A systematic search of published literature identified 35 articles, representing 25 unique interventions (

Indexed as

Risk Reduction BehaviorSexual BehaviorFemaleHIV InfectionsHumansHIV/AIDSresiliencesexual riskStrength-basedsystematic review

Identifiers

PMID30955450
PMCPMC6779500
OpenAlexW2937248714

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.