Drug-drug interactions (DDIs) are preventable adverse events that are responsible for 5?14% of adverse drug reactions (ADRs) in hospitalized patients and frequently occur in up to 13% of elderly ambulatory patients. Exposure to life-threatening DDIs continues to occur despite the widespread availability of clinical decision support systems (CDS). Due to Meaningful Use requirements, most electronic health record (EHR) vendors have implemented DDI CDS functionality using the underlying logic provided by drug knowledge-base vendors. A persistent issue is that DDI alerts are overridden at rates as high as 90%. While patients can play a critical role in preventing potentially catastrophic harm due to DDIs, here are very few tools that help them engage in shared decision making about DDI risks. Recently, studies of interactive decision dashboards have shown the potential to foster informed decision making by patients. These decision aids allow patients and clinicians to deliberate together about the advantages and disadvantages of different therapies and arrive at decisions that are concordant with both clinicians' knowledge and patients' preferences. Accordingly, the overarching goal of this study is to advance the DDI CDS frontier beyond physician-centered decision making to patient-centered shared decision making. Our central hypothesis is that interoperable shared decision tools will enhance patient-provider decision making regarding the risks and benefits of interacting medications. The proposed project will use emerging CDS standards (CQL, CDS Hooks, and SMART on FHIR) and a learning health community (CDS Connect) to enable: (i) novel shared decision-making dashboards that graphically communicate risks and decision options related to potential DDIs and (ii) broad interoperability for highly actionable DDI CDS artifacts. Patients and providers will be able to jointly determine the most appropriate actions to mitigate potential harm. We will accomplish our objectives by pursuing the following specific aims:
Aim 1 : Design and evaluate a user-centered CDS dashboard for shared decision making of drug prescribing concerning risk of DDI harm;
Aim 2 : Enable contextual DDI CDS rules using CDS Connect;
and Aim 3) Conduct a pilot dissemination of the DDI authoring process, the knowledge artifacts, interoperability, and the shared decision-making dashboard. This project will markedly improve CDS for DDIs by simplifying the authoring process and demonstrating interoperable shared patient-physician DDI decision making. We expect patients will value this critical information as part of their care plan and that providers will benefit from risk information that is provided real-time without relying on memory recall. Our novel approach, involving partners across multiple organizations and environments including experts in drug interactions, biomedical informatics, healthcare information technology standards, and shared-decision making will result in safer healthcare with respect to the use of medications.

Public Health Relevance

Despite advances in health-related computer systems, the safety-net to identify and prevent patients from receiving harmful drug-drug interactions (DDIs) has largely failed. To reduce harm from these dangerous combinations, new creative solutions are needed that both increase the involvement of patients and harness the power of interoperable electronic health records. The purpose of this project is to develop and disseminate novel interoperable DDI decision making tools that build on healthcare information technology standards and can be readily implemented in electronic health records.

Agency
National Institute of Health (NIH)
Institute
Agency for Healthcare Research and Quality (AHRQ)
Type
Research Demonstration--Cooperative Agreements (U18)
Project #
1U18HS027099-01
Application #
9853307
Study Section
Healthcare Information Technology Research (HITR)
Program Officer
AL-Showk, Shafa
Project Start
2019-09-30
Project End
2021-09-29
Budget Start
2019-09-30
Budget End
2020-09-29
Support Year
1
Fiscal Year
2019
Total Cost
Indirect Cost
Name
University of Utah
Department
Pharmacology
Type
Schools of Pharmacy
DUNS #
009095365
City
Salt Lake City
State
UT
Country
United States
Zip Code
84112