Evidence map›Paper›PMID 37373918›Full record

ArticleJournal of personalized medicine2023

Clinician Perspectives on Clinical Decision Support for Familial Hypercholesterolemia.

Hana Bangash, Omar Elsekaily, Seyedmohammad Saadatagah, Joseph Sutton, Paul Johnsen, Justin H Gundelach, Arailym Kamzabek, Robert Freimuth, Pedro J Caraballo, Iftikhar J Kullo

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2023. 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 31% 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, 2 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

10 authors at 3 institutions in 1 country.

Hana BangashDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0003-2552-9499
Omar ElsekailyDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Seyedmohammad SaadatagahDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0003-4950-8334
Joseph SuttonDepartment of Information Technology, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0002-2631-9314
Paul JohnsenDepartment of Information Technology, Mayo Clinic, Rochester, MN 55905, USA.
Justin H GundelachDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0001-7347-0511
Arailym KamzabekDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Robert FreimuthDepartment of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN 55905, USA.
Pedro J CaraballoDepartment of General Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Iftikhar J KulloDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Mayo Clinic in Arizona · USMayo Clinic in Florida · USMayo Clinic · US

Funding

Genomic Basis of Susceptibility to COVID-19 Infection and its ComplicationsU01HG006379 · NHGRI · MAYO CLINIC ROCHESTER · PI Richard R. Sharp · 2011 to 2026
$16.5M
EHR-Based Strategies to Improve Outcomes in Familial HypercholesterolemiaR01HL135879 · NHLBI · MAYO CLINIC ROCHESTER · PI KULLO, IFTIKHAR J · 2017 to 2020
$2.5M
Patient-Oriented Research in Genomic Discovery and ImplementationK24HL137010 · NHLBI · MAYO CLINIC ROCHESTER · PI KULLO, IFTIKHAR J · 2017 to 2021
$590k
NHGRI NIH HHS U01 HG006379NHLBI NIH HHS K24 HL137010NHLBI NIH HHS R01 HL135879
6 · The paper itself

Abstract

Familial Hypercholesterolemia (FH) is underdiagnosed in the United States. Clinical decision support (CDS) could increase FH detection once implemented in clinical workflows. We deployed CDS for FH at an academic medical center and sought clinician insights using an implementation survey. In November 2020, the FH CDS was deployed in the electronic health record at all Mayo Clinic sites in two formats: a best practice advisory (BPA) and an in-basket alert. Over three months, 104 clinicians participated in the survey (response rate 11.1%). Most clinicians (81%) agreed that CDS implementation was a good option for identifying FH patients; 78% recognized the importance of implementing the tool in practice, and 72% agreed it would improve early diagnosis of FH. In comparing the two alert formats, clinicians found the in-basket alert more acceptable (

Indexed as

CDSClinical decision supportelectronic health recordfamilial hypercholesterolemiaimplementation sciencestakeholder engagement

Identifiers

PMID37373918
PMCPMC10305024
OpenAlexW4378904029

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.