Evidence map›Paper›PMID 34205662›Full record

ArticleJournal of personalized medicine2021

Acceptability, Appropriateness, and Feasibility of Automated Screening Approaches and Family Communication Methods for Identification of Familial Hypercholesterolemia: Stakeholder Engagement Results from the IMPACT-FH Study.

Laney K Jones, Nicole Walters, Andrew Brangan, Catherine D Ahmed, Michael Gatusky, Gemme Campbell-Salome, Ilene G Ladd, Amanda Sheldon, Samuel S Gidding, Mary P McGowan and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Applications of machine learning in familial hypercholesterolemia.Frontiers in cardiovascular medicine · 2023
    Review
  10. Article
  11. Article
  12. 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

12 authors at 3 institutions in 1 country.

Laney K JonesGenomic Medicine Institute, Geisinger, Danville, PA 17822, USA.ORCID 0000-0002-6182-5634
Nicole WaltersGenomic Medicine Institute, Geisinger, Danville, PA 17822, USA.ORCID 0000-0001-6668-9072
Andrew BranganGenomic Medicine Institute, Geisinger, Danville, PA 17822, USA.ORCID 0000-0002-6196-145X
Catherine D AhmedThe FH Foundation, Pasadena, CA 91101, USA.
Michael GatuskyGenomic Medicine Institute, Geisinger, Danville, PA 17822, USA.
Gemme Campbell-SalomeGenomic Medicine Institute, Geisinger, Danville, PA 17822, USA.
Ilene G LaddGenomic Medicine Institute, Geisinger, Danville, PA 17822, USA.
Amanda SheldonThe FH Foundation, Pasadena, CA 91101, USA.
Samuel S GiddingGenomic Medicine Institute, Geisinger, Danville, PA 17822, USA.
Mary P McGowanThe FH Foundation, Pasadena, CA 91101, USA.
Alanna K RahmGenomic Medicine Institute, Geisinger, Danville, PA 17822, USA.
Amy C SturmGenomic Medicine Institute, Geisinger, Danville, PA 17822, USA.
FH Foundation · USDartmouth–Hitchcock Medical Center · USUniversity of Florida · US

Funding

Identification Methods, Patient Activation, and Cascade Testing for FH: IMPACT-FHR01HL148246 · NHLBI · GEISINGER CLINIC · PI Ana Morales Reyes · 2019 to 2026
$5.2M
NHLBI NIH HHS R01 HL148246NHLBI NIH HHS R01HL148246
6 · The paper itself

Abstract

Guided by the Conceptual Model of Implementation Research, we explored the acceptability, appropriateness, and feasibility of: (1) automated screening approaches utilizing existing health data to identify those who require subsequent diagnostic evaluation for familial hypercholesterolemia (FH) and (2) family communication methods including chatbots and direct contact to communicate information about inherited risk for FH. Focus groups were conducted with 22 individuals with FH (2 groups) and 20 clinicians (3 groups). These were recorded, transcribed, and analyzed using deductive (coded to implementation outcomes) and inductive (themes based on focus group discussions) methods. All stakeholders described these initiatives as: (1) acceptable and appropriate to identify individuals with FH and communicate risk with at-risk relatives; and (2) feasible to implement in current practice. Stakeholders cited current initiatives, outside of FH (e.g., pneumonia protocols, colon cancer and breast cancer screenings), that gave them confidence for successful implementation. Stakeholders described perceived obstacles, such as nonfamiliarity with FH, that could hinder implementation and potential solutions to improve systematic uptake of these initiatives. Automated health data screening, chatbots, and direct contact approaches may be useful for patients and clinicians to improve FH diagnosis and cascade screening.

Indexed as

cascade screeningcascade testingchatbotsdirect contactfamilial hypercholesterolemiaidentificationimplementation outcomes

Identifiers

PMID34205662
PMCPMC8234213
OpenAlexW3173686685

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.