YouScript IMPACT Registry

BACKGROUND AND RATIONALE: Genelex Corporation is a leader in comprehensive medication management based on the YouScript clinical decision support tool and DNA drug sensitivity testing. Controlling prescription drug adverse event risk is complex because more than 85% of patients have significant DNA based variation in activity of the cytochrome p450 (CYP) enzymes that metabolize the majority of the most commonly prescribed medicines. Polypharmacy, common in the elderly and chronically ill further increases the risk of an adverse drug event (ADE). The public healthcare problem resulting from these factors costs an estimated $289 billion per year in excess health care costs. The goal of the YouScript personalized prescribing system is to improve patient outcomes by preventing ADEs caused by drug-drug, drug-gene and drug-drug-gene interactions. ADEs are defined to include prescription and over-the-counter (OTC) drug overdose toxicity, adverse drug reactions (ADRs), and treatment failures generally caused by properly prescribed medications. The YouScript system prevents ADEs by the combined analysis of patient drug regimens and individual genetics. YouScript DNA drug sensitivity testing includes five enzymes in the cytochrome P450 (CYP) group (CYP2D6, CYP2C9, CYP2C19, CYP3A4, and CYP3A5). YouScript synthesizes decades of publicly funded basic and clinical research to provide actionable information to physicians treating patients. Elderly patients are at greater risk of an ADE. Two-thirds of adults age 65 or older take one or more prescription drugs daily. Patients age 60 years and older account for 10-17% of hospitalizations and 51% of the deaths from ADEs, although this age group represents just 17% of the U.S. population. Following discharge, 50% of patients with ADRs declined in one or more activities of daily living, compared to 24% of patients without ADRs. Although the value of pharmacogenetic testing and comprehensive gene-based medication management is being recognized by clinicians, it is still not endorsed by many expert committees and third party payers for most prescription drugs. The purpose of this study is to meet the need for evidence that better demonstrates the impact of such comprehensive gene-based medication management on healthcare resource utilization (HRU), clinical decision-making, and patient outcomes. Therefore, the proposed study aims to assess the impact of the YouScript Personal Prescribing System on HRU, clinical decision-making, and clinical outcomes. OBJECTIVES: Primary objective: To determine the impact of the YouScript Personalized Prescribing System on HRU. Secondary objectives: To assess the impact of the YouScript Personalized Prescribing System on clinical decision-making, including risk modification through dosage adjustment and medication change. To assess the impact of the YouScript Personalized Prescribing System on the number of ADEs experienced by patients. STUDY DESIGN: The study is designed as a prospective, non-interventional, observational study to assess the real-world impact of the YouScript Personalized Prescribing System on HRU, provider clinical decision-making, and ADEs. The decision to utilize the YouScript Personalized Prescribing System and all treatment decisions will be made in accordance with usual care practice, and will be made prior to the decision to participate in the study. Outcomes will be compared between a group of prospectively enrolled patients undergoing CYP2D6, CYP2C19, CYP2C9, VKORC1, CYP3A4, and CYP3A5 testing with the YouScript Personalized Prescribing System at the discretion of their provider (i.e. "tested" patients) and data from a group of similar patients included in Inovalon's MORE2 healthcare database meeting the same enrollment criteria (excluding the YouScript testing) and matched on key characteristics to the tested patients using propensity score matching. Sites will be queried regarding use of other drug-drug interaction (DDI) systems to better distinguish the impact of YouScript vs. other systems. The study aims to initially enroll 1500 patients from 3-15 sites in the United States, identified by Genelex. The study may be expanded up to 10,000 patients at additional sites in the United States. The study duration is estimated to be at least 15 months, including 3 months for study set-up, 6 months or longer for patient enrollment depending on the rate of accrual at each site, 4 months of per-patient follow-up and 2 months for study closeout. A pilot study consisting of the first 150 patients enrolled will be conducted prior to continuing enrollment in order to assist with planning the larger-scale study, such as confirming appropriate length of follow-up necessary to observe patient outcomes, comparison of patient baseline characteristics, identifying potential variables for propensity score matching, sample size calculation, and necessary changes to case report forms. After a discussion about the study with study staff and providing informed consent, baseline data will be collected (described in more detail below), including a buccal swab or blood sample, from patients undergoing YouScript testing. Follow-up data will be collected 120 days after enrollment on all patients. Patients will be seen in the clinic or phoned (if a visit is not scheduled in 120 days ± 14 days from baseline) and queried regarding HRU (including number of hospitalizations, ER visits, provider office visits, and procedures), changes in medications, reason for changes, and adverse drug events. This data will also be abstracted from the medical record for completeness. In addition, providers utilizing YouScript will also be surveyed regarding the usefulness of YouScript in their clinical decision-making. Similar available data will be abstracted for a sample of presumably untested patients included in the MORE2 registry database who meet eligibility criteria and are matched to prospectively enrolled patients on key characteristics using propensity score matching. CLINICAL ASSESSMENTS: As this is an observational study, there are no mandatory visits. While the timing of actual patient visits will occur at the discretion of the treating provider, it will be requested that data be entered at baseline and again 120 days after enrollment regardless of the number of times that a patient had been seen during that interval. All data will be collected and entered by the sites directly into a web-based electronic data capture (EDC) system via electronic case report forms (eCRFs). After patients are screened and consented, the following variables will be collected at baseline, with some being collected as part of the standard YouScript requisition form: demographics, current smoking status, active medical conditions, liver or kidney dysfunction, drugs of interest and other concomitant medications (including date of initiation of therapy, dose, frequency, and indication, respectively), previous ADEs to any drug of interest, and buccal swab/blood sample for YouScript testing. The site will not be required to enter data collected on the YouScript requisition form into the eCRF. The following follow-up data will be collected during a routinely scheduled visit, or by phone if a visit is not scheduled, approximately 120 days after enrollment: number of hospitalizations; ER visits, diagnostic or surgical procedures, and office visits since baseline; Change/consider/monitor recommendations for drug regimen change(s) by the pharmacy team; changes in drug regimen/dose for drugs of interest and concomitant medications since baseline; reason for changing or not changing drug regimen/dose; ADEs since baseline; and healthcare provider survey/questions regarding role and usefulness of YouScript in clinical decision making. If a visit is not scheduled at 120 days ±14 days, the study staff will contact patients by telephone and data will be collected. If patients choose to terminate participation before completion of the 120-day follow---up, all follow-up data will be collected, as well as the reason for discontinuation. DATA ANALYSIS: Complete analytical specifications, including tables and listings, will be fully detailed in the statistical analysis plan (SAP). Descriptive analyses will be performed to gain an understanding of the qualitative and quantitative nature of the data collected and the characteristics of the sample studied. Summary statistics will be calculated and presented for baseline characteristics and outcomes for tested and control groups separately. Comparative analyses will be conducted to determine whether there are statistically significant differences in specific quantitative outcomes between tested and control groups. Because of propensity score matching between tested and control patients, unadjusted comparative analysis will be performed and reported as the primary results. Adjusted analysis using multiple regression models will be used to examine potential confounding effects that cannot be addressed by the matching process. Exploratory analyses will be conducted to explore the impact of YouScript in various subgroups and to identify potential subgroups which will be most likely to benefit from YouScript, as deemed appropriate. The first interim analysis will be conducted after data collection is complete for approximately the first 150 prospectively enrolled patients (i.e. the pilot study) to determine if any changes are necessary in the methods of the larger scale study. The second interim analysis will be completed after data collection is complete for approximately 750 prospectively enrolled patients. For the main analyses, differences in HRU at the 120-day follow-up will be determined by comparing the mean number of hospitalizations, emergency room visits, diagnostic procedures, surgical procedures, and clinic visits between the tested and untested groups. The impact of YouScript on clinical decision making will be determined by comparing the mean number of changes in drug regimen or dose between those who underwent YouScript testing and those that did not. In addition, the number of ADEs experienced by patients during the 120-day study will be compared between the tested and untested groups. Comparisons will be made with the t-test (if the data are normally distributed), the Wilcoxon-Rank-Sum test (if the data are continuous and not normally distributed), or the chi-squared (or Fisher exact) test if the data are considered categorical. Multivariable linear regression models will be used to examine the association of the YouScript Personalized Prescribing System with HRU, clinical decision making, and ADEs, respectively, while controlling for potential confounding effects from baseline characteristics not included in the propensity score matching process. In tested patients only, HRU, number of ADEs, and number of changes in drug regimen/dose will be examined in relationship to genotype, sample size permitting. Reasons for not changing drug regimen or dose when a recommendation was made will be summarized qualitatively or be analyzed quantitatively if possible. In addition, calculation of the drug-gene, drug-drug-gene and drug-drug interaction recommendation acceptance rate (as defined by whether a drug or dose was changed after a recommendation was made) will be calculated. Provider feedback regarding whether the YouScript Personalized Prescribing System impacted their clinical decisions will be summarized quantitatively and qualitatively.