Patient needs and preferences for herb-drug-disease interaction alerts: a structured interview study.

BACKGROUND: While complementary and alternative medicine (CAM) is commonly used in the United States and elsewhere, and hazardous interactions with prescription drugs can occur, patients do not regularly communicate with physicians about their CAM use. The objective of this study was to discover patient information needs and preferences for herb-drug-disease interaction alerts. METHODS: We recruited 50 people from several locations within the University of Utah Hospital to participate in this structured interview study. They were asked to provide their preferences for the herb-drug-disease interaction alerts. Qualitative methods were used to reveal the themes that emerged from the interviews. RESULTS: Most participants reported they had previously used, or they were currently using, CAM therapies. The majority had made the effort to inform their healthcare provider(s) about their CAM usage, although some had not. We found that most respondents were interested in receiving alerts and information about potential interactions. Many preferred to receive the alerts in a variety of ways, both in person and electronically. CONCLUSIONS: In addition to conventional medicine, many patients regularly use complementary and alternative therapies. And yet, communication between patients and providers about CAM use is not consistent. There is a demand for interventions in health care that provide timely, integrative communication support. Delivering the herb-drug-disease alerts through multiple channels could help meet critical patient information needs.

Application of the Geriatric Trauma Outcome Score in a Rural Setting.

OBJECTIVE: To retrospectively apply the Geriatric Trauma Outcome (GTO) score to the patient population of a rural South Central Appalachian level 1 trauma center and identify the potential utility of the GTO score in guiding goals of care discussions. METHODS: Trauma registry data was extracted for 5,627 patients aged 65+ from 2017 to 2021. GTO score was calculated for each patient. Descriptive statistics were calculated for age, Injury Severity Score (ISS), GTO score, receipt of red blood cells, discharge status, and code status. A simple logistic regression model was used to determine the relationship between GTO score and discharge status. The probability of mortality was then calculated using GTO score, and the distribution of code status among patients with ≤50, 51-75%, and >75% probability of mortality was examined. RESULTS: For every 10-point increase in GTO score, odds of mortality increased by 79% (OR = 1.79; P < .001). Patients had an estimated 50% probability of mortality with a GTO score of 156, 75% with 174, and 99% with a score of 234, respectively. Seventeen patients had a GTO score associated with >75% probability of mortality. Of those 17 patients, four retained a full code status. CONCLUSIONS: Our analysis demonstrates that the GTO score is a validated measure in a rural setting and can be an easily calculated metric to help determine a geriatric patient's probability of mortality following a trauma. The results of our study also found that GTO score can be used to inform goals of care discussions with patients.

Identifying and Communicating Clinically Meaningful Drug-Drug Interactions.

OBJECTIVE: Providing care to patients with comorbid medical problems may result in complicated, multiple drug therapy regimens, increasing the risk of clinically meaningful drug-drug interactions (DDIs). The purpose of this article is to describe the prevalence of DDIs and provide examples on how to identify and intervene on DDIs. METHODS: We described DDI data from the Utah Drug Regimen Review Center, where adult Medicaid patients were reviewed by pharmacists from 2005 to 2009. Patients were selected by the number of prescriptions filled per month (>7) or having a high RxRisk score. SUMMARY: A total of 8860 patients were reviewed, and 16.6% had at least 1 clinically meaningful DDI. Patients with DDIs were slightly younger (mean age 45.2 vs 48.2), more likely to be female (75.0% vs 68.9%), and had more prescriptions per month (13.4 vs 12.5) compared to patients without (P < .001). Pharmacodynamic DDIs were more prevalent (80.2%) than pharmacokinetic. Pharmacodynamic DDIs mainly occurred with drugs used to treat psychiatric/seizure/sleep disorders (69.4%) and pain/migraine (56.6%). Pharmacokinetic DDIs mainly occurred with drugs used to treat psychiatric/seizure/sleep disorders (53.2%), cardiovascular diseases (46.3%), and infectious diseases (29.6%). CONCLUSIONS: Clinically meaningful DDIs are common in patients with complex medication regimens. A systematic approach for identifying DDIs, determining clinical significance, formulating patient-specific recommendations, and communicating recommendations is important in pharmacy practice.

Automated alerts and reminders targeting patients: A review of the literature.

OBJECTIVE: Information technology supporting patient self-management has the potential to foster shared accountability for healthcare outcomes by improving patient adherence. There is growing interest in providing alerts and reminders to patients to improve healthcare self-management. This paper describes a literature review of automated alerts and reminders directed to patients, the technology used, and their efficacy. METHODS: An electronic literature search was conducted in PubMed to identify relevant studies. The search produced 2418 abstracts; 175 articles underwent full-text review, of which 124 were rejected. 51 publications were included in the final analysis and coding. RESULTS: The articles are partitioned into alerts and reminders. A summary of the analysis for the 51 included articles is provided. CONCLUSION: Reminders and alerts are advantageous in many ways; they can be used to reach patients outside of regular clinic settings, be personalized, and there is a minimal age barrier in the efficacy of automated reminders sent to patients. As technologies and patients' proficiencies evolve, the use and dissemination of patient reminders and alerts will also change. PRACTICE IMPLICATIONS: Automated technology may reliably assist patients to adhere to their health regimen, increase attendance rates, supplement discharge instructions, decrease readmission rates, and potentially reduce clinic costs.

Ginkgo and Warfarin Interaction in a Large Veterans Administration Population.

Ginkgo biloba is a widely used herbal product that could potentially have a severe interaction with warfarin, which is the most frequently prescribed anticoagulant agent in North America. Literature, however, provides conflicting evidence on the presence and severity of the interaction. In this study, we developed text processing methods to extract the ginkgo usage and combined it with prescription data on warfarin from a very large clinical data respository. Our statistical analysis suggests that taking concurrently with warfarin, gingko does significantly increase patients' risk of a bleeding adverse event (hazard ratio = 1.38, 95%CI: 1.20 to 1.58, p<.001). This study also is the first attempt of using a large medical record databaseto confirm a suspected herb-drug interaction.

Development of an Alert System to Detect Drug Interactions with Herbal Supplements using Medical Record Data.

While potential medication-to-medication interaction alerting engines exist in many clinical applications, few systems exist to automatically alert on potential medication to herbal supplement interactions. We have developed a preliminary knowledge base and rules alerting engine that detects 259 potential interactions between 9 supplements, 62 cardiac medications, and 19 drug classes. The rules engine takes into consideration 12 patient risk factors and 30 interaction warning signs to help determine which of three different alert levels to categorize each potential interaction. A formative evaluation was conducted with two clinicians to set initial thresholds for each alert level. Additional work is planned add more supplement interactions, risk factors, and warning signs as well as to continue to set and adjust the inputs and thresholds for each potential interaction.