Evidence map›Paper›PMID 29159594›Full record

SynthesisAIDS and behavior2017

Structural Interventions in HIV Prevention: A Taxonomy and Descriptive Systematic Review.

Theresa Ann Sipe, Terrika L Barham, Wayne D Johnson, Heather A Joseph, Maria Luisa Tungol-Ashmon, Ann O'Leary

Open access · greenAbstract readSystematic Review
In one paragraph

Synthesis in AIDS and behavior, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
1.5field-weighted citation impact, top 19% 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Measurement and evaluation of community engagement in complex, chronic medical conditions: HIV and obesity as exemplar conditions.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
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  12. The Paradox of Suicide Prevention.International journal of environmental research and public health · 2022
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  13. Using Machine Learning to Predict Young People's Internet Health and Social Service Information Seeking.Prevention science : the official journal of the Society for Prevention Research · 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

6 authors at 1 institution in 1 country.

Theresa Ann SipeDivision of HIV/AIDS Prevention, Prevention Research Branch, The U.S. Centers for Disease Control and Prevention, 1600 Clifton Rd, Mailstop E-37, Atlanta, GA, 30333, USA. tsipe@cdc.gov.
Terrika L BarhamDivision of HIV/AIDS Prevention, Prevention Research Branch, The U.S. Centers for Disease Control and Prevention, 1600 Clifton Rd, Mailstop E-37, Atlanta, GA, 30333, USA.
Wayne D JohnsonDivision of HIV/AIDS Prevention, Prevention Research Branch, The U.S. Centers for Disease Control and Prevention, 1600 Clifton Rd, Mailstop E-37, Atlanta, GA, 30333, USA.
Heather A JosephDivision of HIV/AIDS Prevention, Prevention Research Branch, The U.S. Centers for Disease Control and Prevention, 1600 Clifton Rd, Mailstop E-37, Atlanta, GA, 30333, USA.
Maria Luisa Tungol-AshmonDivision of HIV/AIDS Prevention, Prevention Research Branch, The U.S. Centers for Disease Control and Prevention, 1600 Clifton Rd, Mailstop E-37, Atlanta, GA, 30333, USA.
Ann O'LearyDivision of HIV/AIDS Prevention, Prevention Research Branch, The U.S. Centers for Disease Control and Prevention, 1600 Clifton Rd, Mailstop E-37, Atlanta, GA, 30333, USA.
Centers for Disease Control and Prevention · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

One of the four national HIV prevention goals is to incorporate combinations of effective, evidence-based approaches to prevent HIV infection. In fields of public health, techniques that alter environment and affect choice options are effective. Structural approaches may be effective in preventing HIV infection. Existing frameworks for structural interventions were lacking in breadth and/or depth. We conducted a systematic review and searched CDC's HIV/AIDS Prevention Research Synthesis Project's database for relevant interventions during 1988-2013. We used an iterative process to develop the taxonomy. We identified 213 structural interventions: Access (65%), Policy/Procedure (32%), Mass Media (29%), Physical Structure (27%), Capacity Building (24%), Community Mobilization (9%), and Social Determinants of Health (8%). Forty percent targeted high-risk populations (e.g., people who inject drugs [12%]). This paper describes a comprehensive, well-defined taxonomy of structural interventions with 7 categories and 20 subcategories. The taxonomy accommodated all interventions identified.

Indexed as

Capacity BuildingHealth PolicySocial Determinants of HealthCenters for Disease Control and Prevention, U.S.HIV InfectionsHumansPublic HealthUnited StatesHIV preventionPolicySocial determinants of healthStructural interventionsSystematic review

Identifiers

PMID29159594
PMCPMC5824620
OpenAlexW2769191051

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.