Evidence map›Paper›PMID 33748690›Full record

ArticleJAMIA open2021

Utilizing a health information exchange to facilitate COVID-19 VA primary care follow-up for Veterans diagnosed in the community.

Rachel L Sherman, Kimberly M Judon, Nicholas S Koufacos, Vivian M Guerrero Aquino, Shaniqua M Raphael, Judith T Hollander, Kenneth S Boockvar

Open access · goldAbstract read
In one paragraph

Article in JAMIA open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.4field-weighted citation impact, top 9% of its field
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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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 at 1 institution in 1 country.

Rachel L ShermanDepartment of Veterans Affairs, James J. Peters Medical Center, Bronx, New York, USA.ORCID https://orcid.org/0000-0002-4438-6035
Kimberly M JudonDepartment of Veterans Affairs, James J. Peters Medical Center, Bronx, New York, USA.
Nicholas S KoufacosDepartment of Veterans Affairs, James J. Peters Medical Center, Bronx, New York, USA.
Vivian M Guerrero AquinoDepartment of Veterans Affairs, James J. Peters Medical Center, Bronx, New York, USA.
Shaniqua M RaphaelDepartment of Veterans Affairs, James J. Peters Medical Center, Bronx, New York, USA.
Judith T HollanderDepartment of Veterans Affairs, James J. Peters Medical Center, Bronx, New York, USA.
Kenneth S BoockvarDepartment of Veterans Affairs, James J. Peters Medical Center, Bronx, New York, USA.
James J. Peters VA Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of alerts from the Bronx RHIO, a health information exchange (HIE) to identify James J. Peters VAMC patients diagnosed with COVID-19 in the community was described to facilitate COVID-19 VA primary care follow-up. COVID-19 hospitalization and testing alerts were delivered on a Bronx RHIO facility report. VA COVID-19 follow-up care by telephone and video was guided by local COVID-19 clinical pathways, electronic health record (EHR) templates, and tracking through a database. VA received 180 RHIO alerts for 111 unique patients, and 88 had positive non-VA testing from March to June 2020. 41% of the 88 had non-VA admissions and 23% died. 63% received VA primary care follow-up of COVID-19 symptoms documented by custom EHR templates. The HIE identified 11% of the facility COVID-19 patients. HIE alerts can be used to identify facility COVID-19 patients diagnosed in the community and facilitate follow-up by their VA primary care teams.

Indexed as

coronavirusCOVID-19health information exchangehealth information interoperabilityveterans health

Identifiers

PMID33748690
PMCPMC7962785
OpenAlexW3137797702

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.