Browsing by Author "Oslin, David"

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    Best-worst scaling methodology to evaluate constructs of the Consolidated Framework for Implementation Research: application to the implementation of pharmacogenetic testing for antidepressant therapy.
    (BMC, 2022-05-14) Salloum, Ramzi G.; Bishop, Jeffrey R.; Elchynski, Amanda L.; Smith, D. Max; Rowe, Elizabeth; Blake, Kathryn V.; Limdi, Nita A.; Aquilante, Christina L.; Bates, Jill; Beitelshees, Amber L.; Cipriani, Amber; Duong, Benjamin Q.; Empey, Philip E.; Formea, Christine M.; Hicks, J. Kevin; Mroz, Pawel; Oslin, David; Pasternak, Amy L.; Petry, Natasha; Ramsey, Laura B.; Schlichte, Allyson; Swain, Sandra M.; Ward, Kristen M.; Wiisanen, Kristin; Skaar, Todd C.; Van Driest, Sara L.; Cavallari, Larisa H.; Tuteja, Sony
    BACKGROUND: Despite the increased demand for pharmacogenetic (PGx) testing to guide antidepressant use, little is known about how to implement testing in clinical practice. Best-worst scaling (BWS) is a stated preferences technique for determining the relative importance of alternative scenarios and is increasingly being used as a healthcare assessment tool, with potential applications in implementation research. We conducted a BWS experiment to evaluate the relative importance of implementation factors for PGx testing to guide antidepressant use. METHODS: We surveyed 17 healthcare organizations that either had implemented or were in the process of implementing PGx testing for antidepressants. The survey included a BWS experiment to evaluate the relative importance of Consolidated Framework for Implementation Research (CFIR) constructs from the perspective of implementing sites. RESULTS: Participating sites varied on their PGx testing platform and methods for returning recommendations to providers and patients, but they were consistent in ranking several CFIR constructs as most important for implementation: patient needs/resources, leadership engagement, intervention knowledge/beliefs, evidence strength and quality, and identification of champions. CONCLUSIONS: This study demonstrates the feasibility of using choice experiments to systematically evaluate the relative importance of implementation determinants from the perspective of implementing organizations. BWS findings can inform other organizations interested in implementing PGx testing for mental health. Further, this study demonstrates the application of BWS to PGx, the findings of which may be used by other organizations to inform implementation of PGx testing for mental health disorders.
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    Multisite evaluation of institutional processes and implementation determinants for pharmacogenetic testing to guide antidepressant therapy.
    (Wiley, 2022-02) Tuteja, Sony; Salloum, Ramzi G.; Elchynski, Amanda L.; Smith, D. Max; Rowe, Elizabeth; Blake, Kathryn V.; Limdi, Nita A.; Aquilante, Christina L.; Bates, Jill; Beitelshees, Amber L.; Cipriani, Amber; Duong, Benjamin Q.; Empey, Philip E.; Formea, Christine M.; Hicks, J. Kevin; Mroz, Pawel; Oslin, David; Pasternak, Amy L.; Petry, Natasha; Ramsey, Allyson; Swain, Sandra M.; Ward, Kristen M.; Wiisanen, Kristin; Skaar, Todd C.; Van Driest, Sara L.; Cavallari, Larisa H.; Bishop, Jeffrey R.
    There is growing interest in utilizing pharmacogenetic (PGx) testing to guide antidepressant use, but there is lack of clarity on how to implement testing into clinical practice. We administered two surveys at 17 sites that had implemented or were in the process of implementing PGx testing for antidepressants. Survey 1 collected data on the process and logistics of testing. Survey 2 asked sites to rank the importance of Consolidated Framework for Implementation Research (CFIR) constructs using best-worst scaling choice experiments. Of the 17 sites, 13 had implemented testing and four were in the planning stage. Thirteen offered testing in the outpatient setting, and nine in both outpatient/inpatient settings. PGx tests were mainly ordered by psychiatry (92%) and primary care (69%) providers. CYP2C19 and CYP2D6 were the most commonly tested genes. The justification for antidepressants selected for PGx guidance was based on Clinical Pharmacogenetics Implementation Consortium guidelines (94%) and US Food and Drug Administration (FDA; 75.6%) guidance. Both institutional (53%) and commercial laboratories (53%) were used for testing. Sites varied on the methods for returning results to providers and patients. Sites were consistent in ranking CFIR constructs and identified patient needs/resources, leadership engagement, intervention knowledge/beliefs, evidence strength and quality, and the identification of champions as most important for implementation. Sites deployed similar implementation strategies and measured similar outcomes. The process of implementing PGx testing to guide antidepressant therapy varied across sites, but key drivers for successful implementation were similar and may help guide other institutions interested in providing PGx-guided pharmacotherapy for antidepressant management.