Evidence map›Paper›PMID 35703774›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2022

Reducing Intersecting Stigmas in HIV Service Organizations: An Implementation Science Model.

Cristina Rodriguez-Hart, Grace Mackson, Dan Belanger, Nova West, Victoria Brock, Jhané Phanor, Susan Weigl, Courtney Ahmed, Jorge Soler, Karen McKinnon and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

4 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

11 authors at 5 institutions in 1 country.

Cristina Rodriguez-HartNew York City Department of Health and Mental Hygiene New York, NY.
Grace MacksonNew York City Department of Health and Mental Hygiene New York, NY.
Dan BelangerNew York State Department of Health, AIDS Institute, Office of the Medical Director Albany, NY.
Nova WestNew York State Department of Health, AIDS Institute, Office of the Medical Director Albany, NY.
Victoria BrockNew York State Department of Health, AIDS Institute, Office of the Medical Director Albany, NY.
Jhané PhanorNew York State Department of Health, AIDS Institute, Office of the Medical Director Albany, NY.
Susan WeiglNew York State Department of Health, AIDS Institute, Office of the Medical Director Albany, NY.
Courtney AhmedNew York State Department of Health, AIDS Institute, Office of the Medical Director Albany, NY.
Jorge SolerNew York Blood Center New York, NY.
Karen McKinnonHIV Center for Clinical and Behavioral Studies, Columbia University and New York State Psychiatric Institute New York, NY; and.
Theo G M SandfortHIV Center for Clinical and Behavioral Studies, Columbia University and New York State Psychiatric Institute New York, NY; and.
New York State Department of Health · USNew York City Department of Health and Mental Hygiene · USNew York Blood Center · USNew York Psychoanalytic Society and Institute · USNew York State Psychiatric Institute

Funding

The Statistics, Data Science, and Data Management (SDM) CoreP30MH043520 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI MILTON L WAINBERG · 2003 to 2026
$48.2M
INSPIRE : Interdisciplinary Social and Behavioral Science Prevention and Intervention REsearch in HIVT32MH019139 · NIMH · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Claude Ann Mellins, Jae M. Sevelius · 1989 to 2026
$10.8M
NIMH NIH HHS P30 MH043520NIMH NIH HHS T32 MH019139
6 · The paper itself

Abstract

backgroundHIV-related and intersectional stigmas are key barriers for service delivery, but best practices are nascent for addressing them in high-resource and high-burden contexts such as New York City (NYC). The Stigma Reduction and Resilience (STAR) implementation science (IS) Mapping Project in 2020 identified untested stigma reduction efforts in HIV organizations, highlighting the need for an IS framework.

settingOrganizations providing HIV prevention and/or care in NYC.

methodsAn interagency team determined that IS provides a structured approach for addressing identified gaps in stigma reduction efforts, but defining existing IS concepts and adapting IS frameworks were necessary to facilitate its use. The Implementation Research Logic Model was adapted to empower HIV organizations to use IS to implement stigma reduction.

resultsQuestions, definitions, and tips were developed to guide, strengthen, and simplify the application of IS within HIV organizations to improve the reduction of HIV and intersecting stigmas. The resulting Stigma Reduction Logic Model incorporates tools for implementers who synthesize each component of the logic model (intervention, determinants, implementation strategies, mechanisms, and outcomes), including a menu of options for selecting stigma reduction interventions and implementation determinants, a checklist to assess organizational readiness for stigma reduction, and an IS terminology guide applied for stigma reduction.

conclusionsStigma reduction initiatives and research can use this model to enable implementers, researchers, and HIV organization stakeholders to use the methodology of IS to build consensus for, systematically plan, implement, and evaluate stigma reduction activities relevant to the HIV epidemic. The next step is testing the model's utility.

Indexed as

Acquired Immunodeficiency SyndromeHIV InfectionsHumansImplementation ScienceOrganizationsSocial Stigma

Identifiers

PMID35703774
PMCPMC10790311
OpenAlexW4282970355

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.