Literature DB >> 29734486

Pharmacogenetic testing among patients with mood and anxiety disorders is associated with decreased utilization and cost: A propensity-score matched study.

Roy H Perlis1, Rajesh Mehta2, Alison M Edwards2, Arun Tiwari2, Guido W Imbens3.   

Abstract

BACKGROUND: Naturalistic and small randomized trials have suggested that pharmacogenetic testing may improve treatment outcomes in depression, but its cost-effectiveness is not known. There is growing enthusiasm for personalized medicine, relying on genetic variation as a contributor to heterogeneity of treatment effects. We sought to examine the relationship between a commercial pharmacogenetic test for psychotropic medications and 6-month cost of care and utilization in a large commercial health plan.
METHODS: We performed a propensity-score matched case-control analysis of longitudinal health claims data from a large US insurer. Individuals with a mood or anxiety disorder diagnosis (N = 817) who received genetic testing for pharmacokinetic and pharmacodynamic variation were matched to 2,745 individuals who did not receive such testing. Outcomes included number of outpatient visits, inpatient hospitalizations, emergency room visits, and prescriptions, as well as associated costs over 6 months.
RESULTS: On average, individuals who underwent testing experienced 40% fewer all-cause emergency room visits (mean difference 0.13 visits; P < 0.0001) and 58% fewer inpatient all-cause hospitalizations (mean difference 0.10 visits; P < 0.0001) than individuals in the control group. The two groups did not differ significantly in number of psychotropic medications prescribed or mood-disorder related hospitalizations. Overall 6-month costs were estimated to be $1,948 (SE 611) lower in the tested group.
CONCLUSIONS: Pharmacogenetic testing represents a promising strategy to reduce costs and utilization among patients with mood and anxiety disorders.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  antidepressant; anxiety disorder; biomarker; cytochrome P450; genetic; major depressive disorder; propensity score

Mesh:

Substances:

Year:  2018        PMID: 29734486     DOI: 10.1002/da.22742

Source DB:  PubMed          Journal:  Depress Anxiety        ISSN: 1091-4269            Impact factor:   6.505


  8 in total

1.  Attitudes on pharmacogenetic testing in psychiatric patients with treatment-resistant depression.

Authors:  Michael J McCarthy; Yucui Chen; Anna Demodena; Eileen Fisher; Shahrokh Golshan; Trisha Suppes; John R Kelsoe
Journal:  Depress Anxiety       Date:  2020-07-15       Impact factor: 6.505

2.  The association of COMT genotype with buproprion treatment response in the treatment of major depressive disorder.

Authors:  Jay Fawver; Mindy Flanagan; Thomas Smith; Michelle Drouin; Michael Mirro
Journal:  Brain Behav       Date:  2020-05-27       Impact factor: 2.708

Review 3.  Potential pharmacogenomic targets in bipolar disorder: considerations for current testing and the development of decision support tools to individualize treatment selection.

Authors:  Alfredo B Cuéllar-Barboza; Susan L McElroy; Marin Veldic; Balwinder Singh; Simon Kung; Francisco Romo-Nava; Nicolas A Nunez; Alejandra Cabello-Arreola; Brandon J Coombes; Miguel Prieto; Hannah K Betcher; Katherine M Moore; Stacey J Winham; Joanna M Biernacka; Mark A Frye
Journal:  Int J Bipolar Disord       Date:  2020-07-04

4.  No Association Between Pharmacogenomics Variants and Hospital and Emergency Department Utilization: A Mayo Clinic Biobank Retrospective Study.

Authors:  Paul Y Takahashi; Euijung Ryu; Suzette J Bielinski; Matthew Hathcock; Gregory D Jenkins; James R Cerhan; Janet E Olson
Journal:  Pharmgenomics Pers Med       Date:  2021-02-11

Review 5.  Analyzing Precision Medicine Utilization with Real-World Data: A Scoping Review.

Authors:  Michael P Douglas; Anika Kumar
Journal:  J Pers Med       Date:  2022-04-01

Review 6.  Pharmacogenomics cascade testing (PhaCT): a novel approach for preemptive pharmacogenomics testing to optimize medication therapy.

Authors:  Don Roosan; Angela Hwang; Moom R Roosan
Journal:  Pharmacogenomics J       Date:  2020-08-25       Impact factor: 3.550

7.  Multisite evaluation of institutional processes and implementation determinants for pharmacogenetic testing to guide antidepressant therapy.

Authors:  Sony Tuteja; Ramzi G Salloum; Amanda L Elchynski; D Max Smith; Elizabeth Rowe; Kathryn V Blake; Nita A Limdi; Christina L Aquilante; Jill Bates; Amber L Beitelshees; Amber Cipriani; Benjamin Q Duong; Philip E Empey; Christine M Formea; J Kevin Hicks; Pawel Mroz; David Oslin; Amy L Pasternak; Natasha Petry; Laura B Ramsey; Allyson Schlichte; Sandra M Swain; Kristen M Ward; Kristin Wiisanen; Todd C Skaar; Sara L Van Driest; Larisa H Cavallari; Jeffrey R Bishop
Journal:  Clin Transl Sci       Date:  2021-09-25       Impact factor: 4.689

8.  Real-World Impact of a Pharmacogenomics-Enriched Comprehensive Medication Management Program.

Authors:  Joseph P Jarvis; Arul Prakasam Peter; Murray Keogh; Vince Baldasare; Gina M Beanland; Zachary T Wilkerson; Steven Kradel; Jeffrey A Shaman
Journal:  J Pers Med       Date:  2022-03-08
  8 in total

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