Evidence map›Paper›PMID 33657900›Full record

ArticleEvaluation & the health professions2021

Barriers and Facilitators to the Collection and Aggregation of Electronic Health Record HIV Data: An Analysis of Study Recruitment Venues Within the Adolescent Medicine Trials Network for HIV/AIDS Interventions (ATN).

Seyram A Butame, Jessica M De Leon, Sung-Jae Lee, Sylvie Naar, Leah Genn, Tyra Dark, Bill G Kapogiannis

Abstract read
In one paragraph

Article in Evaluation & the health professions, 2021. 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.

Seyram A ButameCenter for Translational Behavioral Science, 7823Florida State University, Tallahassee, FL, USA.ORCID 0000-0002-4495-0898
Jessica M De LeonDivision of Research & Graduate Programs, 7823Florida State University College of Medicine, Tallahassee, FL, USA.
Sung-Jae LeeDepartment of Psychiatry and Biobehavioral Sciences, 25808Fielding School of Public Heath, University of California Los Angeles, CA, USA.
Sylvie NaarCenter for Translational Behavioral Science, 7823Florida State University, Tallahassee, FL, USA.
Leah GennCenter for Translational Behavioral Science, 7823Florida State University, Tallahassee, FL, USA.
Tyra DarkCenter for Translational Behavioral Science, 7823Florida State University, Tallahassee, FL, USA.
Bill G KapogiannisMaternal and Pediatric Infectious Disease Branch (MPIDB), 2511Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Washington, DC, USA.

Funding

UCLA Rapid, Relevant, Rigorous Implementation Science HubP30MH058107 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RAPHAEL J LANDOVITZ · 1997 to 2026
$53.5M
Project-003U24HD089880 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HUDGENS, MICHAEL G, LAVANGE, LISA · 2016 to 2021
$44.3M
NICHD NIH HHS U24 HD089880NIMH NIH HHS P30 MH058107
6 · The paper itself

Abstract

Electronic health record (EHR) data can be leveraged for prospective cohort studies and pragmatic clinical trials, targeting youth living with HIV (YLH). Using EHRs in this manner may minimize the need for costly research infrastructure in service to lowering disease burden. This study characterizes HIV prevention and care continua variables and identifies factors likely to impede or facilitate EHR use for research and interventions. We conducted telephone-based qualitative interviews with National Experts (n = 10) and Key Stakeholders (n = 19) from subject recruitment venues (SRVs), providing care services to YLH and youth at risk for HIV. We found 17 different EHR systems being used for various purposes (e.g., workflow management and billing). Thematic content analysis of interviews highlighted six broad categories of perspectives on barriers to and facilitators of EHR use: specific variable collection, general use barriers, and facilitators, general data collection barriers and facilitators, EHRs for surveillance and research, EHRs for personnel and resource management and capture of HIV specific variables. These findings may inform implementation strategies of future studies, in which we conduct routine monitoring of the youth HIV prevention and care continua using EHRs and test an eHealth intervention.

Indexed as

Adolescent MedicineHIV InfectionsAdolescentElectronic Health RecordsHumansProspective StudiesSurveys and Questionnairesadolescentselectronic health recordsHIV careHIV prevention

Identifiers

PMID33657900
PMCPMC8505456

What OpenQuestion holds

Textmetadata
LicenceTDM
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.