Evidence map›Paper›PMID 29854213›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2017

Leveraging Health Information Exchange to Construct a Registry for Traumatic Brain Injury, Spinal Cord Injury and Stroke in Indiana.

Saurabh Rahurkar, Timothy D McFarlane, Jane Wang, Sarah Hoover, Flora Hammond, Jacob Kean, Brian E Dixon

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2017. 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
–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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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.

Saurabh RahurkarCenter for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA.
Timothy D McFarlaneRichard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA.
Jane WangCenter for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA.
Sarah HooverCenter for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA.
Flora HammondIndiana University School of Medicine, Indianapolis, IN, USA.
Jacob KeanPopulation Health Sciences, Univ. of Utah School of Medicine, Salt Lake City, UT, USA.
Brian E DixonCenter for Biomedical Informatics, Regenstrief Institute, Indianapolis, IN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traumatic brain injury (TBI), spinal cord injury (SCI) and stroke are conditions of interest to public health as they can result in long-term outcomes and disabilities. Specialized registries can facilitate public health surveillance, however only 4% of hospitals in the United States actively engage in electronic reporting to these registries. We leveraged electronic claims and clinical data from a health information exchange to create a statewide TBI/SCI/Stroke registry to facilitate the study of long-term outcomes and health services utilization. The registry contains 109,943 TBI patients, 9,027 SCI patients and 117,084 stroke patients with a mean of 3 years of follow-up data after injury. Additionally, the registry contains data on individual patient encounters, prescriptions and clinical variables. The high-dimensional data with large sample sizes may present a valuable informatics resource for injury research as well as public health surveillance.

Indexed as

Electronic Health RecordsRegistriesBrain Injuries, TraumaticHealth FacilitiesHealth Information ExchangeHumansIncidenceIndianaPublic Health SurveillanceSpinal Cord InjuriesStroke

Identifiers

PMID29854213
PMCPMC5977570

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.