Literature DB >> 34570085

Anesthesia providers as stakeholders to adoption of pharmacogenomic information in perioperative care.

Tien M Truong1,2,3, Jeffrey L Apfelbaum3,4, Emily Schierer2, Keith Danahey2,5, Brittany A Borden2, Theodore Karrison6, Sajid Shahul4, Magdalena Anitescu4, Rebecca Gerlach4, Randall W Knoebel2,7, David O Meltzer1, Mark J Ratain1,2,3, Peter H O'Donnell1,2,3.   

Abstract

OBJECTIVES: Integration of pharmacogenomics into clinical care is being studied in multiple disciplines. We hypothesized that understanding attitudes and perceptions of anesthesiologists, critical care and pain medicine providers would uncover unique considerations for future implementation within perioperative care.
METHODS: A survey (multiple choice and Likert-scale) was administered to providers within our Department of Anesthesia and Critical Care prior to initiation of a department-wide prospective pharmacogenomics implementation program. The survey addressed knowledge, perceptions, experiences, resources and barriers.
RESULTS: Of 153 providers contacted, 149 (97%) completed the survey. Almost all providers (92%) said that genetic results influence drug therapy, and few (22%) were skeptical about the usefulness of pharmacogenomics. Despite this enthusiasm, 87% said their awareness about pharmacogenomic information is lacking. Feeling well-informed about pharmacogenomics was directly related to years in practice/experience: only 38% of trainees reported being well-informed, compared to 46% of those with 1-10 years of experience, and nearly two-thirds with 11+ years (P < 0.05). Regarding barriers, providers reported uncertainty about availability of testing, turnaround time and whether testing is worth financial costs.
CONCLUSIONS: Anesthesiology, critical care and pain medicine providers are optimistic about the potential clinical utility of pharmacogenomics, but are uncertain about practical aspects of testing and desire clear guidelines on the use of results. These findings may inform future institutional efforts toward greater integration of genomic results to improve medication-related outcomes.
Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.

Entities:  

Mesh:

Year:  2022        PMID: 34570085      PMCID: PMC8940738          DOI: 10.1097/FPC.0000000000000455

Source DB:  PubMed          Journal:  Pharmacogenet Genomics        ISSN: 1744-6872            Impact factor:   2.089


  34 in total

1.  Getting ready for gene-based medicine.

Authors:  Harold Varmus
Journal:  N Engl J Med       Date:  2002-11-07       Impact factor: 91.245

2.  Self-regulation and the behavioural response to DNA risk information: a theoretical analysis and framework for future research.

Authors:  Theresa M Marteau; John Weinman
Journal:  Soc Sci Med       Date:  2005-09-12       Impact factor: 4.634

3.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

4.  Assessment of provider-perceived barriers to clinical use of pharmacogenomics during participation in an institutional implementation study.

Authors:  Brittany A Borden; Paige Galecki; Rebecca Wellmann; Keith Danahey; Sang Mee Lee; Linda Patrick-Miller; Matthew J Sorrentino; Rita Nanda; Jay L Koyner; Tamar S Polonsky; Walter M Stadler; Cathleen Mulcahy; Robert T Kavitt; Mark J Ratain; David O Meltzer; Peter H O'Donnell
Journal:  Pharmacogenet Genomics       Date:  2019-02       Impact factor: 2.089

5.  Pharmacogenomics education in medical and pharmacy schools: conclusions of a global survey.

Authors:  Nataša Karas Kuželički; Irena Prodan Žitnik; David Gurwitz; Adrian Llerena; Ingolf Cascorbi; Sofia Siest; Maurizio Simmaco; Marc Ansari; Mario Pazzagli; Chiara Di Resta; Ivan Brandslund; Matthias Schwab; Pieter Vermeersch; Jeantine E Lunshof; George Dedoussis; Christodoulos S Flordellis; Uwe Fuhr; Julia C Stingl; Ron Hn van Schaik; Vangelis G Manolopoulos; Janja Marc
Journal:  Pharmacogenomics       Date:  2019-06       Impact factor: 2.533

6.  Knowledge and attitudes concerning pharmacogenomics among healthcare professionals.

Authors:  Crystal Dodson
Journal:  Per Med       Date:  2011-07       Impact factor: 2.512

Review 7.  Pharmacogenomics in the clinic.

Authors:  Mary V Relling; William E Evans
Journal:  Nature       Date:  2015-10-15       Impact factor: 49.962

8.  Adoption of a clinical pharmacogenomics implementation program during outpatient care--initial results of the University of Chicago "1,200 Patients Project".

Authors:  Peter H O'Donnell; Keith Danahey; Michael Jacobs; Nisha R Wadhwa; Shennin Yuen; Angela Bush; Yasmin Sacro; Matthew J Sorrentino; Mark Siegler; William Harper; Andrea Warrick; Soma Das; Don Saner; Christopher L Corless; Mark J Ratain
Journal:  Am J Med Genet C Semin Med Genet       Date:  2014-03-10       Impact factor: 3.908

9.  Implementation of a pharmacist-led pharmacogenomics service for the Program of All-Inclusive Care for the Elderly (PHARM-GENOME-PACE).

Authors:  Kevin T Bain; Emily J Schwartz; Orsula V Knowlton; Calvin H Knowlton; Jacques Turgeon
Journal:  J Am Pharm Assoc (2003)       Date:  2018-03-27

10.  The ImPreSS Trial: Implementation of Point-of-Care Pharmacogenomic Decision Support in Perioperative Care.

Authors:  Tien M Truong; Jeffrey Apfelbaum; Sajid Shahul; Magdalena Anitescu; Keith Danahey; Randall W Knoebel; David Liebovitz; Theodore Karrison; Xander M R van Wijk; Kiang-Teck J Yeo; David Meltzer; Mark J Ratain; Peter H O'Donnell
Journal:  Clin Pharmacol Ther       Date:  2019-08-21       Impact factor: 6.875

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.