Evidence map›Paper›PMID 37226199›Full record

SynthesisBMC public health2023

Development and implementation of a distributed data network between an academic institution and state health departments to investigate variation in time to HIV viral suppression in the Deep South.

John R Bassler, Izza Cagle, Danita Crear, Emma S Kay, Dustin M Long, Michael J Mugavero, Ariann F Nassel, Lauren Ostrenga, Mariel Parman, Summer Preg and 4 more

Abstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BMC public health, 2023. 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. Observational
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

14 authors.

John R BasslerDepartment of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA. jbassle1@uab.edu.
Izza CagleOffice of HIV Prevention and Care, Alabama Department of Public Health, Montgomery, AL, USA.
Danita CrearVaccine-Preventable Diseases and Immunization Program, Tennessee Department of Health, Union City, TN, USA.
Emma S KayMagic City Research Institute, Birmingham AIDS Outreach, Birmingham, AL, USA.
Dustin M LongDepartment of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA.
Michael J MugaveroDepartment of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Ariann F NasselUniversity of Alabama at Birmingham, Lister Hill Center for Health Policy, Birmingham, AL, USA.
Lauren OstrengaLouisiana Department of Health, New Orleans, LA, USA.
Mariel ParmanDepartment of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Summer PregOffice of HIV Prevention and Care, Alabama Department of Public Health, Montgomery, AL, USA.
Xueyuan WangSTD/HIV Office, Mississippi State Department of Health, Jackson, MS, USA.
D Scott BateySchool of Social Work, Tulane University, New Orleans, LA, USA.
Aadia RanaDepartment of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Emily B LevitanDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA.

Funding

Geographic Variability in Time from HIV Diagnosis to Viral Suppression in the Deep South: A Roadmap to Accelerated Treatment InitiationR01AI142690 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BATEY, DAVID S., RANA, AADIA · 2019 to 2023
$2.4M
National Institute of Allergy and Infectious Diseases R01AI142690NIAID NIH HHS R01 AI142690
6 · The paper itself

Abstract

backgroundAchieving early and sustained viral suppression (VS) following diagnosis of HIV infection is critical to improving outcomes for persons with HIV (PWH). The Deep South of the United States (US) is a region that is disproportionately impacted by the domestic HIV epidemic. Time to VS, defined as time from diagnosis to initial VS, is substantially longer in the South than other regions of the US. We describe the development and implementation of a distributed data network between an academic institution and state health departments to investigate variation in time to VS in the Deep South.

methodsRepresentatives of state health departments, the Centers for Disease Control and Prevention (CDC), and the academic partner met to establish core objectives and procedures at the beginning of the project. Importantly, this project used the CDC-developed Enhanced HIV/AIDS Reporting System (eHARS) through a distributed data network model that maintained the confidentiality and integrity of the data. Software programs to build datasets and calculate time to VS were written by the academic partner and shared with each public health partner. To develop spatial elements of the eHARS data, health departments geocoded residential addresses of each newly diagnosed individual in eHARS between 2012-2019, supported by the academic partner. Health departments conducted all analyses within their own systems. Aggregate results were combined across states using meta-analysis techniques. Additionally, we created a synthetic eHARS data set for code development and testing.

resultsThe collaborative structure and distributed data network have allowed us to refine the study questions and analytic plans to conduct investigations into variation in time to VS for both research and public health practice. Additionally, a synthetic eHARS data set has been created and is publicly available for researchers and public health practitioners.

conclusionsThese efforts have leveraged the practice expertise and surveillance data within state health departments and the analytic and methodologic expertise of the academic partner. This study could serve as an illustrative example of effective collaboration between academic institutions and public health agencies and provides resources to facilitate future use of the US HIV surveillance system for research and public health practice.

Indexed as

Acquired Immunodeficiency SyndromeHIV InfectionsCenters for Disease Control and Prevention, U.S.HumansSchoolsUnited StatesUniversitiesCommunity partnershipsDistributed data networkHIVPublic healthSurveillance

Identifiers

PMID37226199
PMCPMC10206341

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.