Evidence map›Paper›PMID 31660364›Full record

ArticleOpen forum infectious diseases2019

Health Information Exchange: A Novel Re-linkage Intervention in an Urban Health System.

Joseph Sharp, Christine D Angert, Tyania Mcconnell, Pascale Wortley, Eugene Pennisi, Lisa Roland, C Christina Mehta, Wendy S Armstrong, Bijal Shah, Jonathan A Colasanti

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 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

9 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. The health data utility and the resurgence of health information exchanges as a national resource.Journal of the American Medical Informatics Association : JAMIA · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. 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

10 authors.

Joseph SharpDepartment of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.ORCID 0000-0001-5837-3932
Christine D AngertDepartment of Biostatistics and Bioinformatics, Rollins School Public Health, Emory University, Atlanta, Georgia, USA.
Tyania McconnellGrady Health System, Atlanta, Georgia, USA.
Pascale WortleyGeorgia Department of Public Health, Atlanta, Georgia, USA.
Eugene PennisiGeorgia Department of Public Health, Atlanta, Georgia, USA.
Lisa RolandGrady Health System, Atlanta, Georgia, USA.
C Christina MehtaDepartment of Biostatistics and Bioinformatics, Rollins School Public Health, Emory University, Atlanta, Georgia, USA.
Wendy S ArmstrongGrady Health System, Atlanta, Georgia, USA.
Bijal ShahGrady Health System, Atlanta, Georgia, USA.
Jonathan A ColasantiGrady Health System, Atlanta, Georgia, USA.

Funding

Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Carlos del Rio · 2002 to 2026
$74.0M
NIAID NIH HHS P30 AI050409
6 · The paper itself

Abstract

backgroundPublic health information exchanges (HIEs) link real-time surveillance and clinical data and can help to re-engage out-of-care people with HIV (PWH).

methodsWe conducted a retrospective cohort study of out-of-care PWH who generated an HIE alert in the Grady Health System (GHS) Emergency Department (ED) between January 2017 and February 2018. Alerts were generated for PWH who registered in the GHS ED without Georgia Department of Public Health (GDPH) CD4 or HIV-1 RNA in the prior 14 months. The alert triggered a social work (SW)-led re-linkage effort. Multivariate logistic regression analyses used HIE-informed SW re-linkage efforts as the independent variable, and linkage to care and 3- and 6-month viral suppression (HIV-1 RNA < 200 c/mL) as primary outcomes. Patients admitted to the hospital were excluded from primary analysis.

resultsOne hundred forty-seven out-of-care patients generated an alert. Ninety-eight were included in the primary analysis (mean age [SD], 41 ± 12 years; 70% male; 93% African American), and 20 received the HIE-informed SW intervention. Sixty percent of patients receiving the intervention linked to care in 6 months, compared with 35% who did not. Patients receiving the intervention were more likely to link to care (adjusted risk ratio [aRR], 1.63; 95% confidence interval [CI], 0.99-2.68) and no more likely to achieve viral suppression (aRR, 1.49; 95% CI, 0.50-4.46) than those who did not receive the intervention.

conclusionsAn HIE-informed, SW-led intervention systematically identified out-of-care PWH and may increase linkage to care for this important population. HIEs create an opportunity to intervene with linkage and retention strategies.

Indexed as

care continuumhealth information exchangeimplementation scienceinformation sharinglinkage to careviral suppression

Identifiers

PMID31660364
PMCPMC6785665

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Registered trials

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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.