Evidence map›Paper›PMID 36474431›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2022

VACtrac: enhancing access immunization registry data for population outreach using the Bulk Fast Healthcare Interoperable Resource (FHIR) protocol.

Leslie Lenert, Jeff Jacobs, James Agnew, Wei Ding, Katie Kirchoff, Duncan Weatherston, Kenneth Deans

Open access · hybridAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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.

Leslie LenertBiomedical Informatics Center, Medical University of South Carolina, Charleston, South Carolina, USA.
Jeff JacobsHealth Sciences South Carolina, Columbia, South Carolina, USA.
James AgnewSmile Digital Health, Toronto, Ontario, Canada.
Wei DingBiomedical Informatics Center, Medical University of South Carolina, Charleston, South Carolina, USA.
Katie KirchoffBiomedical Informatics Center, Medical University of South Carolina, Charleston, South Carolina, USA.
Duncan WeatherstonSmile Digital Health, Toronto, Ontario, Canada.
Kenneth DeansHealth Sciences South Carolina, Columbia, South Carolina, USA.
Medical University of South Carolina · US

Funding

NIH HHS
6 · The paper itself

Abstract

COVID-19 vaccination uptake has been suboptimal, even in high-risk populations. New approaches are needed to bring vaccination data to the groups leading outreach efforts. This article describes work to make state-level vaccination data more accessible by extending the Bulk Fast Healthcare Interoperability Resource (FHIR) standard to better support the repeated retrieval of vaccination data for coordinated outreach efforts. We also describe a corresponding low-foot-print software for population outreach that automates repeated checks of state-level immunization data and prioritizes outreach by social determinants of health. Together this software offers an integrated approach to addressing vaccination gaps. Several extensions to the Bulk FHIR protocol were needed to support bulk query of immunization records. These are described in detail. The results of a pilot study, using the outreach tool to target a population of 1500 patients are also described. The results confirmed the limitations of current patient-by-patient approach for querying state immunizations systems for population data and the feasibility of a Bulk FHIR approach.

Indexed as

Bulk Fast Healthcare Interoperability Resourcecase managementimmunization information systempopulation health

Identifiers

PMID36474431
PMCPMC9933063
OpenAlexW4311707364

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.