Evidence map›Paper›PMID 36578620›Full record

ArticleProceedings (Baylor University. Medical Center)2023

Reducing inappropriate inpatient thrombophilia testing through an electronic health record intervention.

Charis Durham, John Kim, Roma Bhandarkar, Daphne Garcia Galan, Alwin Alias, James Hall, Gerald Ogola, Micah Burch

Abstract read
In one paragraph

Article in Proceedings (Baylor University. Medical Center), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Charis DurhamDepartment of Hematology and Medical Oncology, Baylor University Medical Center, Dallas, Texas.
John KimDepartment of Hematology and Medical Oncology, Baylor University Medical Center, Dallas, Texas.
Roma BhandarkarDepartment of Pediatrics, UT Health Houston McGovern Medical School, Houston, Texas.
Daphne Garcia GalanDepartment of Pediatrics, Stanford Health Care, Palo Alto, California.
Alwin AliasTexas A&M College of Medicine, Temple Regional Campus, Temple, Texas.ORCID https://orcid.org/0000-0002-8256-5245
James HallDepartment of Hematology and Medical Oncology, Shannon Medical Center, San Angelo, Texas.
Gerald OgolaDepartment of Hematology and Medical Oncology, Baylor University Medical Center, Dallas, Texas.
Micah BurchDepartment of Hematology and Medical Oncology, Baylor University Medical Center, Dallas, Texas.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current literature does not support routine testing for hereditary and acquired thrombophilia disorders in the inpatient setting. Testing in the acute setting rarely changes patient management or could lead to patient mismanagement. Despite prior educational interventions, continued overuse of inpatient testing warrants further quality improvement measures. A hard-stop best practice advisory pop-up was implemented in the electronic medical record in a multicenter academic hospital system to provide clinicians guidance on the appropriate use of thrombophilia testing at the point of care. Pre- and postintervention retrospective data were collected to assess clinical features before and after implementation. Before the intervention, 271 patients underwent inpatient hypercoagulability testing; after the intervention, 238 patients underwent inpatient hypercoagulability testing. The total number of labs ordered per patient decreased from 1185 to 910, a 13% reduction (

Indexed as

Benign hematologyhypercoagulability testingquality controlthrombophilia testing

Identifiers

PMID36578620
PMCPMC9762828

What OpenQuestion holds

Textmetadata
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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.