Evidence map›Paper›PMID 28414260›Full record

ArticleAIDS patient care and STDs2017

Retention in HIV Care and Viral Suppression: Individual- and Neighborhood-Level Predictors of Racial/Ethnic Differences, Florida, 2015.

Diana M Sheehan, Kristopher P Fennie, Daniel E Mauck, Lorene M Maddox, Spencer Lieb, Mary Jo Trepka

Abstract read
In one paragraph

Article in AIDS patient care and STDs, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

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

  1. Systematic Review of Neighborhood Factors Impacting HIV Care Continuum Participation in the United States.Journal of urban health : bulletin of the New York Academy of Medicine · 2024
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Relationships Between Patient Race and Residential Race Context With Missed Human Immunodeficiency Virus Care Visits in the United States, 2010-2015.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  18. Article
  19. Article
  20. Social disorganization and new HIV diagnoses, 2013-2017, Florida: Rural-urban differences.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2022
    Article
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.

Diana M Sheehan1 Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University , Miami, Florida.
Kristopher P Fennie1 Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University , Miami, Florida.
Daniel E Mauck1 Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University , Miami, Florida.
Lorene M Maddox2 HIV/AIDS Section, Florida Department of Health , Tallahassee, Florida.
Spencer Lieb3 Florida Consortium for HIV/AIDS Research/The AIDS Institute , Tampa, Florida.
Mary Jo Trepka1 Department of Epidemiology, Robert Stempel College of Public Health and Social Work, Florida International University , Miami, Florida.

Funding

Retrospective cohort study of racial disparities in HIV survival, FloridaR01MD004002 · NIMHD · FLORIDA INTERNATIONAL UNIVERSITY · PI TREPKA, MARY JO · 2009 to 2015
$1.9M
NIMHD NIH HHS R01 MD004002
6 · The paper itself

Abstract

The objective of this study was to estimate racial/ethnic differences in retention in HIV care and viral suppression and to identify related individual and neighborhood determinants. Florida HIV surveillance records of cases aged ≥13 years diagnosed during the years 2000-2014 were analyzed. Retention in care was defined as evidence of ≥2 or more laboratory tests, receipts of prescription, or clinical visits at least 3 months apart during 2015. Viral load suppression was defined as a viral load of <200 copies/mL for the last test in 2015. Multi-level logistic regressions were used to estimate adjusted odds ratios (AORs). Of 65,735 cases, 33.3% were not retained in care, and 40.1% were not virally suppressed. After controlling for individual and neighborhood factors, blacks were at increased odds of nonretention in HIV care [AOR 1.29, 95% confidence interval (CI) 1.23-1.35] and nonviral suppression (AOR 1.55, 95% CI 1.48-1.63) compared with whites. Black and Latino males compared with their female counterparts had higher odds of nonretention and nonviral suppression. Compared with their US-born counterparts, foreign-born blacks and whites, but not Latinos, had higher odds of nonretention and nonviral suppression. Blacks and whites in urban compared with rural areas had higher odds of both outcomes. Disparities in retention in care and viral suppression persist and are not accounted for by differences in age, sex, transmission mode, AIDS diagnosis, neighborhood socioeconomic status, rural/urban residence, or neighborhood racial composition. Further, predictors of poor retention in care and viral suppression appear to differ by race/ethnicity.

Indexed as

AdolescentAdultAnti-HIV AgentsBlack or African AmericanBlack PeopleContinuity of Patient CareEthnicityFemaleFloridaHispanic or LatinoHIV InfectionsHumansLogistic ModelsMaleMiddle AgedOdds RatioAnti-HIV Agentshuman immunodeficiency virusneighborhoodretention in caretreatment cascadeviral suppression

Identifiers

PMID28414260
PMCPMC5397217

What OpenQuestion holds

Textmetadata
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.