Evidence map›Paper›PMID 34478016›Full record

ArticleAIDS and behavior2021

Modeling the Impact of Social Determinants of Health on HIV.

Joseph W Hogan, Noya Galai, Wendy W Davis

Abstract read
In one paragraph

Article in AIDS and behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Demographic and social determinants of human immunodeficiency virus status among women with cervical cancer in a low-resource setting.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2026
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  14. [HIV mortality trends in Mexico, 2000-2022].Revista medica del Instituto Mexicano del Seguro Social · 2024
    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

3 authors.

Joseph W HoganDepartment of Biostatistics, Brown University School of Public Health, Providence, RI, USA. jwh@brown.edu.ORCID http://orcid.org/0000-0001-7959-7361
Noya GalaiDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Wendy W DavisDepartment of Prevention and Community Health, the George Washington University Milken Institute of Public Health, Washington, DC, USA.

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI CURT G BECKWITH, DEBBIE M. CHENG · 1998 to 2026
$51.7M
Science/Technical CoreP2CHD041020 · NICHD · BROWN UNIVERSITY · PI ZHENCHAO QIAN · 2016 to 2026
$7.6M
Stigma, Cohesion and HIV Outcomes Among Vulnerable Women Across Epidemic SettingsR01MH110158 · NIMH · JOHNS HOPKINS UNIVERSITY · PI KERRIGAN, DEANNA L · 2016 to 2020
$3.6M
Optimizing HIV Treatment Monitoring under Resource ConstraintsR01AI108441 · NIAID · BROWN UNIVERSITY · PI HOGAN, JOSEPH W, KANTOR, RAMI · 2015 to 2019
$3.5M
NIAID NIH HHS P30 AI042853NIAID NIH HHS R01 AI108441NICHD NIH HHS P2C HD041020NIH HHS P30-AI-42853NIH HHS R01-AI-108441NIH HHS RO1MH110158NIMH NIH HHS R01 MH110158
6 · The paper itself

Abstract

There is growing evidence for the key role of social determinants of health (SDOH) in understanding morbidity and mortality outcomes globally. Factors such as stigma, racism, poverty or access to health and social services represent complex constructs that affect population health via intricate relationships to individual characteristics, behaviors and disease prevention and treatment outcomes. Modeling the role of SDOH is both critically important and inherently complex. Here we describe different modeling approaches and their use in assessing the impact of SDOH on HIV/AIDS. The discussion is thematically divided into mechanistic models and statistical models, while recognizing the overlap between them. To illustrate mechanistic approaches, we use examples of compartmental models and agent-based models; to illustrate statistical approaches, we use regression and statistical causal models. We describe model structure, data sources required, and the scope of possible inferences, highlighting similarities and differences in formulation, implementation, and interpretation of different modeling approaches. We also indicate further needed research on representing and quantifying the effect of SDOH in the context of models for HIV and other health outcomes in recognition of the critical role of SDOH in achieving the goal of ending the HIV epidemic and improving overall population health.

Indexed as

HIV InfectionsRacismHumansModels, StatisticalPovertySocial Determinants of HealthCausal modelsHIVMechanistic modelsSocial determinants of healthStatistical models

Identifiers

PMID34478016
PMCPMC8414021

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.