Evidence map›Paper›PMID 33735253›Full record

ArticlePloS one2021

Characterizing a sexual health and HIV risk stratification scale for sexually active adolescent girls and young women (AGYW) in Tanzania.

Hannah Han, Fan Yang, Sarah Murray, Gaspar Mbita, Maggie Bangser, Katherine Rucinski, Albert Komba, Caterina Casalini, Mary Drake, Esther Majani and 8 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 14 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

18 authors at 3 institutions in 2 countries.

Hannah HanDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States of America.ORCID 0000-0001-7997-2424
Fan YangDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States of America.
Sarah MurrayDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States of America.ORCID 0000-0002-4976-9713
Gaspar MbitaJhpiego, Dar es Salaam, Tanzania.
Maggie BangserIndependent Consultant, New York, United States of America.
Katherine RucinskiDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States of America.
Albert KombaJhpiego, Dar es Salaam, Tanzania.
Caterina CasaliniJhpiego, Dar es Salaam, Tanzania.
Mary DrakeJhpiego, Dar es Salaam, Tanzania.
Esther MajaniJhpiego, Dar es Salaam, Tanzania.
Kelly CurranJhpiego, Baltimore, United States of America.
Yeronimo MlawaEngender Health, Dar es Salaam, Tanzania.
Agnes JungaJhpiego, Dar es Salaam, Tanzania.
Jeremie ZoungranaJhpiego, Dar es Salaam, Tanzania.
Upendo KategileUnited States Agency for International Development, Dar es Salaam, Tanzania.
Angela RamadhaniMinistry of Health, Community Development, Gender, the Elderly and Children, Tanzania.
Qian-Li XueDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States of America.
Stefan BaralDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, United States of America.
Johns Hopkins University · USMinistry of Health, Community Development, Gender, Elderly and Children · TZUnited States Agency for International Development · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adolescent girls and young women (AGYW) aged 15 to 24 years face disproportionately high risks of acquiring HIV and other sexually transmitted infections (STIs). A sexual health risk stratification tool can support the development and implementation of tailored HIV and STI prevention services for sub-groups of at-risk AGYW. Data were collected among sexually active AGYW aged 15 to 24 years in Tanzania between April 2015 and March 2017. Exploratory and confirmatory factor analyses were conducted to construct and assess the latent structure of a ten-item scale for rapid assessment of sexual health risks. Items with high factor loadings and minimal cross loadings were retained in the final scale. Scale performance was appraised against condomless sex (defined as unprotected vaginal or anal intercourse) reported by AGYW for construct validity. A three-factor structure of vulnerability to HIV among AGYW was supported with subscales for socioeconomic vulnerability; lack of adult support; and sexual behavioral risks. The chi-square goodness-of-fit test, root mean square error of approximation, comparative fit index, and Tucker-Lewis index indicated a strong goodness-of-fit of the three-factor scale. Cronbach alphas (0.55 for socioeconomic vulnerability, 0.55 for lack of support, and 0.48 for sexual risk) indicated sub-optimal internal consistency for all sub-scales. The factor-item and factor-factor correlations identified in these analyses were consistent with the conceptual framework of vulnerability of HIV infection in AGYW, suggesting good construct validity. The scale also demonstrated a statistically significant association with condomless sex and could be potentially used for sexual health risk stratification (OR = 1.17, 95% CI: 1.12, 1.23). The sexual health and HIV risk stratification scale demonstrated potential in identifying sexually active AGYW at high risk for HIV and other STIs. Ultimately, all AGYW in Tanzania are not at equal risk for HIV and this scale may support directing resources towards those at highest risk of HIV.

Indexed as

HIV InfectionsSexual BehaviorSexual HealthSexual PartnersAdolescentFemaleHumansRisk AssessmentSocioeconomic FactorsTanzaniaYoung Adult

Identifiers

PMID33735253
PMCPMC7971553
OpenAlexW3136714385

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.