Browsing by Author "Nguyen, Khoa"

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    Rationale and design for a pragmatic randomized trial to assess gene-based prescribing for SSRIs in the treatment of depression
    (Wiley, 2024) Hines, Lindsay J.; Wilke, Russell A.; Myers, Rachel; Mathews, Carol A.; Liu, Michelle; Baye, Jordan F.; Petry, Natasha; Cicali, Emily J.; Duong, Benjamin Q.; Elwood, Erica; Hulvershorn, Leslie; Nguyen, Khoa; Ramos, Michelle; Sadeghpour, Azita; Wu, R. Ryanne; Williamson, Lloyda; Wiisanen, Kristin; Voora, Deepak; Singh, Rajbir; Blake, Kathryn V.; Murrough, James W.; Volpi, Simona; Ginsburg, Geoffrey S.; Horowitz, Carol R.; Orlando, Lori; Chakraborty, Hrishikesh; Dexter, Paul; Johnson, Julie A.; Skaar, Todd C.; Cavallari, Larisa H.; Van Driest, Sara L.; Peterson, Josh F.; IGNITE Pragmatic Trials Network; Psychiatry, School of Medicine
    Specific selective serotonin reuptake inhibitors (SSRIs) metabolism is strongly influenced by two pharmacogenes, CYP2D6 and CYP2C19. However, the effectiveness of prospectively using pharmacogenetic variants to select or dose SSRIs for depression is uncertain in routine clinical practice. The objective of this prospective, multicenter, pragmatic randomized controlled trial is to determine the effectiveness of genotype-guided selection and dosing of antidepressants on control of depression in participants who are 8 years or older with ≥3 months of depressive symptoms who require new or revised therapy. Those randomized to the intervention arm undergo pharmacogenetic testing at baseline and receive a pharmacy consult and/or automated clinical decision support intervention based on an actionable phenotype, while those randomized to the control arm have pharmacogenetic testing at the end of 6-months. In both groups, depression and drug tolerability outcomes are assessed at baseline, 1 month, 3 months (primary), and 6 months. The primary end point is defined by change in Patient-Reported Outcomes Measurement Information System (PROMIS) Depression score assessed at 3 months versus baseline. Secondary end points include change inpatient health questionnaire (PHQ-8) measure of depression severity, remission rates defined by PROMIS score < 16, medication adherence, and medication side effects. The primary analysis will compare the PROMIS score difference between trial arms among those with an actionable CYP2D6 or CYP2C19 genetic result or a CYP2D6 drug-drug interaction. The trial has completed accrual of 1461 participants, of which 562 were found to have an actionable phenotype to date, and follow-up will be complete in April of 2024.
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    Study protocol for a type III hybrid effectiveness-implementation trial to evaluate scaling interoperable clinical decision support for patient-centered chronic pain management in primary care
    (Springer Nature, 2022-07-15) Salloum, Ramzi G.; Bilello, Lori; Bian, Jiang; Diiulio, Julie; Gonzalez Paz, Laura; Gurka, Matthew J.; Gutierrez, Maria; Hurley, Robert W.; Jones, Ross E.; Martinez‑Wittinghan, Francisco; Marcial, Laura; Masri, Ghania; McDonnell, Cara; Militello, Laura G.; Modave, François; Nguyen, Khoa; Rhodes, Bryn; Siler, Kendra; Willis, David; Harle, Christopher A.; Biostatistics and Health Data Science, Richard M. Fairbanks School of Public Health
    Background: The US continues to face public health crises related to both chronic pain and opioid overdoses. Thirty percent of Americans suffer from chronic noncancer pain at an estimated yearly cost of over $600 billion. Most patients with chronic pain turn to primary care clinicians who must choose from myriad treatment options based on relative risks and benefits, patient history, available resources, symptoms, and goals. Recently, with attention to opioid-related risks, prescribing has declined. However, clinical experts have countered with concerns that some patients for whom opioid-related benefits outweigh risks may be inappropriately discontinued from opioids. Unfortunately, primary care clinicians lack usable tools to help them partner with their patients in choosing pain treatment options that best balance risks and benefits in the context of patient history, resources, symptoms, and goals. Thus, primary care clinicians and patients would benefit from patient-centered clinical decision support (CDS) for this shared decision-making process. Methods: The objective of this 3-year project is to study the adaptation and implementation of an existing interoperable CDS tool for pain treatment shared decision making, with tailored implementation support, in new clinical settings in the OneFlorida Clinical Research Consortium. Our central hypothesis is that tailored implementation support will increase CDS adoption and shared decision making. We further hypothesize that increases in shared decision making will lead to improved patient outcomes, specifically pain and physical function. The CDS implementation will be guided by the Exploration, Preparation, Implementation, Sustainment (EPIS) framework. The evaluation will be organized by the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework. We will adapt and tailor PainManager, an open source interoperable CDS tool, for implementation in primary care clinics affiliated with the OneFlorida Clinical Research Consortium. We will evaluate the effect of tailored implementation support on PainManager's adoption for pain treatment shared decision making. This evaluation will establish the feasibility and obtain preliminary data in preparation for a multi-site pragmatic trial targeting the effectiveness of PainManager and tailored implementation support on shared decision making and patient-reported pain and physical function. Discussion: This research will generate evidence on strategies for implementing interoperable CDS in new clinical settings across different types of electronic health records (EHRs). The study will also inform tailored implementation strategies to be further tested in a subsequent hybrid effectiveness-implementation trial. Together, these efforts will lead to important new technology and evidence that patients, clinicians, and health systems can use to improve care for millions of Americans who suffer from pain and other chronic conditions.