Introduction Clinical utilization of pharmacogenomics (PGx) testing is highly institutionally dependent, and little information is known about provider practices of PGx testing in the Military Health System (MHS). In this study, we aimed to characterize Clinical Pharmacogenetics Implementation Consortium (CPIC) actionable prescription (Rx) patterns and their temporal relationship with PGx testing in the MHS. Methods Using data from the Military Health System Management Analysis and Reporting Tool (M2) database, this retrospective cohort study included all patients receiving at least one PGx test and at least one CPIC actionable Rx from January 2015 to August 2020 (845 patients, 1,471 PGx, 7,725 index CPIC actionable Rxs). Rx patterns and temporal relationships with PGx testing were characterized via descriptive statistics. Binomial regression was used to determine which patient and provider characteristics were associated with a patient receiving a PGx test within 30 days of an index Rx. Results Patients had a median of 9 index CPIC actionable Rx’s (range 1–26). Pain medications were most commonly prescribed (N = 794, 94% patients with at least 1 Rx). However, pain medication had the lowest Rx–PGx match rate (40%) compared to an average of 62% Rx–PGx match rate for all CPIC drugs. Antidepressants were also commonly prescribed (N = 668, 79.1% patients with at least 1 Rx), and antidepressants had the highest Rx–PGx match rate of 86.7%. A minority of providers (20%, N = 249) ordered the majority of PGx tests (86.1%, N = 1,266) and only 8.3% of PGx tests (N = 398) matched to a CPIC actionable drug within 30 days of the test (defined by Rxs ordered within 30 days before or after the PGx test). However, approximately 39.8% of patients (N = 317) had at least one drug match to a PGx test within 30 days. The largest predictor of whether a patient received a PGx test within 30 days of any index Rx was whether or not a specific psychiatry provider ordered the PGx test (odds ratio; OR 3.7, 95% CI 2.13–6.54, P < 0.001). Neither the CPIC level of evidence nor FDA PGx actionable or informative labels had a significant effect on PGx test timing. Conclusions PGx testing was generally limited to high Rx-drug users and was found to be an under-utilized resource. PGx testing did not typically follow CPIC guidelines. Implementing PGx testing protocols, simplifying PGx test-ordering by incorporating at minimum CYP2D6, CYP2C19, and CYP2C9 into PGx-testing panels, and unifying providers’ PGx knowledgebase in the MHS are feasible and would improve the clinical utilization of PGx tests in the MHS.
Background Use of an application (App) to shape antimicrobial stewardship (AS) practice is largely unknown. Walter Reed National Military Medical Center (WRNNMC) is a tertiary military academic medical center where 2020 AS guidelines transitioned to a mobile App platform. This project aimed to determine barriers to AS and the impact of an App combined with educational sessions (ES) on Internal Medicine (IM) trainee prescribing practices for common Infectious Diseases (ID) syndromes. Methods After an orientation, participants completed a pre-intervention survey. Once weekly ES reinforcing App content was implemented over 12 weeks after which a post-intervention survey was completed. Each weekly session covered a specific ID syndrome. Survey data was analyzed using SPSS Version 27 with paired t-test. Results Amongst 81 IM trainees, 59 (73%) completed both pre- and post-intervention surveys, of whom 39% were PGY1, 31% PGY2, and 27% PGY3. Common AS barriers included lack of knowledge, deference to seniority, established habits, and time needed to make an informed decision. The App and ES improved performance of an antimicrobial timeout (78%), IV to PO switch (61%), therapy de-escalation (56%), and antibiogram knowledge (68%) with 90% of trainees reporting increased access. Weekly ES led to 75% reporting it had at least a moderate impact on learning. Across all ID syndromes, each PGY year reported increased confidence in management post-intervention (P< 0.001) but PGY1s in particular saw the largest gain in confidence with antibiogram, febrile neutropenia, and hospital/ventilator acquired pneumonia categories. Usage of the App increased from 42% to 90% after the intervention, and 95% modified their prescribing practice based on the App. The most common barrier to App usage was forgetting to use the App. Conclusion Utilization of an App combined with ES improved multiple domains of AS practice among IM trainees leading to a modification in antimicrobial prescribing practice in the vast majority of participants. PGY1 trainees in particular may see a large benefit which supports implementation of AS training early in the academic year. This model can be used to build a sustainable AS trainee curriculum augmenting the learning and management of common ID syndromes. Disclosures All Authors: No reported disclosures
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