Evidence map›Paper›PMID 39172185›Full record

ArticleAIDS and behavior2024

Advancing Patient Navigation for HIV: Evaluating Models of Care for Housing and Employment.

Joseph S Lightner, Steven Chesnut, Howard J Cabral, Janet J Myers, Ronald A Brooks, Thomas Byrne, Serena Rajabiun

Abstract read
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In one paragraph

Article in AIDS and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Review
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

7 authors.

Joseph S Lightner *School of Nursing and Health Studies, University of Missouri-Kansas City, Kansas City, MO, USA. Lightnerj@umkc.edu.ORCID http://orcid.org/0000-0002-8536-0085
Steven ChesnutSchool of Nursing and Health Studies, University of Missouri-Kansas City, Kansas City, MO, USA.ORCID http://orcid.org/0000-0002-6164-7823
Howard J CabralDepartment of Biostatistics, School of Public Health, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0002-1185-8331
Janet J MyersDivision of Prevention Science, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0009-0009-4185-6650
Ronald A BrooksCenter for HIV Identification, Prevention, and Treatment, University of California-Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-1928-3720
Thomas ByrneCenter for Innovation in Social Work and Health, School of Social Work, Boston University, Boston, MA, USA.
Serena Rajabiun *Zuckerberg College of Health Sciences, University of Massachusetts Lowell, Lowell, MA, USA.ORCID http://orcid.org/0000-0001-8770-5764

Funding

U.S. Department of Health and Human Services U90HA31449
6 · The paper itself

Abstract

People with HIV face challenges securing housing and employment. Patient navigation is an effective intervention that can improve the receipt of these services, which have been linked to better health outcomes. The purpose of this study was to assess implementation of patient navigation in diverse delivery settings. We also evaluated the relationship between these services and health outcomes among participants. Twelve sites in the United States (N = 1,082) implemented navigation using single or multiple navigator interventions to improve housing, employment, viral suppression, and retention in care. Sites included health departments, health centers, and AIDS service organizations (ASO). Client-level data were used to model relationships of interest. Across the 12 sites, regardless of model, housing (odds ratio (OR) = 1.18, p < .001), employment (OR = 1.09, p < .001) and retention in care (OR 1.11, p = .007) improved significantly over time; however, viral suppression did not (OR = 1.04, p = .120). Regardless of model of care, patient navigation improved housing, employment, and retention in care. This study demonstrated that while navigation supports people with HIV in securing housing and employment, models using a more intensive format worked best in specific settings. While most studies focus on unimodal strategies, this study builds on the evidence by examining how navigation models can be delivered to reduce barriers to care.

Indexed as

EmploymentHIV InfectionsHousingPatient NavigationAdultFemaleHealth Services AccessibilityHumansMaleMiddle AgedRetention in CareUnited StatesViral LoadEmploymentHIVHousingPatient navigationRetention in careViral suppression

Identifiers

What OpenQuestion holds

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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.