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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

Authors :
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
Alanna K. Rahm
Amy C. Sturm
Source :
Journal of Personalized Medicine, Vol 11, Iss 6, p 587 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

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.

Details

Language :
English
ISSN :
20754426
Volume :
11
Issue :
6
Database :
Directory of Open Access Journals
Journal :
Journal of Personalized Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.9cc62ad68e9433595013aad815f492c
Document Type :
article
Full Text :
https://doi.org/10.3390/jpm11060587