Evidence map›Paper›PMID 31984363›Full record

ArticleJAMIA open2019

Usage of query-based health information exchange after event notifications.

Joshua R Vest, Katy Ellis Hilts, Jessica S Ancker, Mark Aaron Unruh, Hye-Young Jung

Abstract read
In one paragraph

Article in JAMIA open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Trends in user-initiated health information exchange in the inpatient, outpatient, and emergency settings.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  5. Health information exchange use during dental visits.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020
    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

5 authors.

Joshua R VestIndiana University Richard M. Fairbanks School of Public Health, Department of Health Policy & Management, Indiana, USA.
Katy Ellis HiltsIndiana University Richard M. Fairbanks School of Public Health, Department of Health Policy & Management, Indiana, USA.
Jessica S AnckerWeill Cornell Medical College, Department of Healthcare Policy & Research, New York City, New York, USA.
Mark Aaron UnruhWeill Cornell Medical College, Department of Healthcare Policy & Research, New York City, New York, USA.
Hye-Young JungWeill Cornell Medical College, Department of Healthcare Policy & Research, New York City, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study sought to quantify the association between event notifications and subsequent query-based health information exchange (HIE) use among end users of three different community health information organizations. MATERIALS AND

methodsUsing system-log data merged with user characteristics, regression-adjusted estimates were used to describe the association between event notifications and subsequent query-based HIE usage.

resultsApproximately 5% of event notifications were associated with query-based HIE usage within 30 days. In adjusted models, odds of query-based HIE usage following an event notification were higher for older patients and for alerts triggered by a discharge event. Query-based HIE usage was more common among specialty clinics and Federally Qualified Health Centers than primary care organizations. DISCUSSION AND

conclusionIn this novel combination of data, 1 in 20 event notifications resulted in subsequent query-based HIE usage. Results from this study suggest that event notifications and query-based HIE can be applied together to address clinical and population health use cases.

Indexed as

ambulatory care facilitiesclinical information systemshealth information exchange

Identifiers

PMID31984363
PMCPMC6951916

What OpenQuestion holds

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LicenceCC BY-NC
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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.