Evaluating a Prescribing Feedback System for Acute Care Providers
Project Number1I01HX003057-01A2
Contact PI/Project LeaderWARD, MICHAEL J. Other PIs
Awardee OrganizationVETERANS HEALTH ADMINISTRATION
Description
Abstract Text
No systematic, automated process for providing feedback to acute care providers exists in the Veterans Health
Administration (VHA), despite there being 432,000 acute care visits annually by Veterans seeking acute
care via the emergency department (ED), urgent care clinics, or primary care clinics in the VHA. More
than 144 million prescriptions are written in these VHA acute care settings each year, many for antibiotics or
non-steroidal anti-inflammatory drugs (NSAIDs). More than 30% of acute care prescriptions for antibiotics
or NSAIDs are inappropriate and carry associated increased risk of adverse drug events (ADEs) due to lack
of patient or comorbidity familiarity, drug-drug interactions, and patient pressure to prescribe. Currently, acute
outpatient care providers operate without knowledge of their own prescribing quality or patient outcomes. This
absence of feedback creates a vacuum through which providers may falsely assume a positive outcome.
Inadequate outcomes feedback and understanding of indications and contraindications to prescribing
antibiotics and NSAIDs have hindered improvement in the quality and safety of prescriptions for Veteran in
acute care settings. We will use user-centered design to develop a scalable prescribing feedback system that
includes audit and feedback, academic detailing, and non-financial incentives, will be implemented to examine
how this multifaceted intervention impacts potentially inappropriate prescribing and ADEs in acute outpatient
care settings in the VHA.
This project describes a mixed-methods proposal that addresses major HSR&D priorities to improve Veteran
health and advance the VHA as a learning healthcare system. The Specific Aims are: 1) Evaluate
determinants of potentially inappropriate prescribing to design intervention implementation in acute outpatient
care settings.; 2) Develop and evaluate a risk-adjusted provider profiling surveillance system; 3) Refine the
visual representation of the feedback system with user-centered design; and 4) Examine the impact of
implementation of a multifaceted intervention on potentially inappropriate prescriptions and ADEs.
The team is uniquely qualified to accomplish these aims, with expertise in healthcare operations research,
informatics, human factors engineering and user-centered design, implementation science, qualitative
methods, and practicing clinicians in acute care settings (emergency department and primary care). The
institutional environment at the VA Tennessee Valley Healthcare System and Vanderbilt University Medical
Center is outstanding, including the Geriatric Research, Education and Clinical Center (GRECC), a site for VA
Quality Scholars, an innovative qualitative research center; nationally ranked graduate programs in the
relevant fields of study; and the national CTSA coordinating center.
This application will develop an automated feedback system for acute care providers using antibiotic and
NSAID prescribing as two exemplars of the need for acute care provider feedback in the VHA. Taking a user-
centered approach by placing the provider at the center of the design process will substantially advance the
ability to enhance provider activities through the delivery of scalable feedback using Veteran, provider, and
stakeholder input. Advancing the delivery of acute outpatient provider feedback creates a mechanism to
improve provider quality and safety, and ultimately to enhance Veteran health.
Public Health Relevance Statement
Every day, thousands of Veterans are treated urgently for unexpected problems. They present to acute
outpatient settings such as the emergency department, urgent care clinics, and primary care offices for
infectious and pain-related complaints, and in many cases, are treated with antibiotics and non-steroidal anti-
inflammatory drugs (NSAIDs). Unfortunately, 30% of these medications are inappropriately prescribed and
may cause patient harm. Without a systematic process to give providers feedback on their prescribing, the
opportunity to learn from experience and prevent future adverse events is lost. By placing the provider at the
center of the design of a feedback system, this study seeks to develop a feedback system using potentially
inappropriate antibiotic and NSAID prescribing as two primary opportunities to improve acute outpatient care
delivery. This project will examine the performance of an automated system to enhance the quality and safety
of medication prescribing for Veterans who seek acute care.
NIH Spending Category
No NIH Spending Category available.
Project Terms
Academic DetailingAcademic Medical CentersAccident and Emergency departmentAcuteAddressAdverse drug eventAdverse eventAdvisory CommitteesAmbulatory CareAntibioticsBehaviorCalibrationCaringClinicComplexCoupledDataDevelopmentDrug InteractionsDrug PrescriptionsEducationEducational workshopEffectivenessElderlyEmergency CareEnvironmentEvaluationFamiliarityFeedbackFutureGoalsGuidelinesHealthHealthcareHealthcare SystemsHumanHybridsIbuprofenIncentivesIndividualInformaticsInpatientsInterventionInterviewIntuitionJointsKidneyKnowledgeLearningMachine LearningMethodsMusculoskeletal PainNon-Steroidal Anti-Inflammatory AgentsOperations ResearchOutcomeOutpatientsPainPatient-Focused OutcomesPatientsPerformancePharmaceutical PreparationsPlanning TheoryPreventionPrimary Health CareProcessProviderQualitative MethodsQualitative ResearchRegistriesResearchRiskSafetySamplingSiteSourceStructureSystemTennesseeVacuumVariantVeteransVisitVisualacute careantimicrobialbasebehavior changecare deliverycare providersclinical centercomorbiditycostdesignengineering designexperiencefield studygastrointestinalhealth administrationhealth care service utilizationiatrogenic injuryimplementation researchimplementation scienceimprovedinnovationmedication safetymulti-component interventionpatient safetyprescription opioidpressurepreventprimary care settingprogramsrisk prediction modelsatisfactiontherapy designtooluptakeurgent careuser centered design
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The Project Outcomes shown here are displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed are those of the PI and do not necessarily reflect the views of the National Institutes of Health. NIH has not endorsed the content below.
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