Developing Clinical Decision Support Order Swaps to Increase the Use of Alternatives to Opioid Analgesics in the Emergency Department

PRESENTERS
NAT TRUSZCZYNSKI, PhD
University of Colorado Department of Emergency Medicine
BACKGROUND
Opioid analgesic administration and prescribing in Emergency Departments (EDs) has been identified as a contributor to the opioid epidemic. Evidence-based practices using alternatives to opioids (ALTs) exist, however utilization of ALTs remains low, and opioids remain the primary analgesic choice by ED providers. CDS order swaps are a tool to influence provider behavior. CDS cane be a non-intrusive way to change practice within providers’ workflow. Our objective is to increase the use of alternatives to opioids by iteratively developing and implement two electronic health record (EHR) embedded CDS that encourage the use of ALT clinical care pathways and suggest providers select alternatives to opioids.
SETTING/POPULATION
This is a program implementation project implemented at a large healthcare system with 12 EDs and 450,000 visits per year.
METHODS
Two separate CDS tools were created with the goal of decreasing opioid use and increasing use of ALTs. The first (pathway) is a non-interruptive reminder for providers to access existing condition-specific clinical care pathways which prioritize ALTs. These pathways had already been created but existed outside the usual workflow and suffered from low utilization despite the high prevalence of their applicable clinical conditions (back pain, headache, vomiting/abdominal pain, dental pain, musculoskeletal pain, and nephrolithiasis). Users are prompted within their usual workflow to “Consider XXX pathway” based on chief complaint and discrete patient factors. The second CDS (order swap) is an interruptive alert that is triggered by the provider searching for any opioid to order. The CDS alert allows the original order but suggests multiple alternatives within the same order.
RESULTS
Both CDS tools were developed and disseminated iteratively to allow for provider feedback and ensure high functionality. The pathway CDS was altered after its first iteration received overwhelming feedback that it was cumbersome and confusing. Due to the multiple screens of the initial design, using the pathway CDS caused providers to take more “clicks” to get to the corresponding pathway. The second iteration became a banner that prompted providers to “Consider the XXX pathway”. The order swap CDS was released after being redesigned based on pre-release focus group feedback from providers. After implementation other feedback about order labels was received and the CDS changed. Data collected on the program outcomes to help assess the impact of CDS is ongoing. Initial analysis from data collection is being used to troubleshoot CDS.
CONCLUSIONS
EHR CDS offer a promising way of creating behavior change among providers. Successful implementation of workflow CDS with real-time monitoring of changes in process (CDS utilization) and patient centered outcomes (medication use) will quantify the impact of CDS on behavior change regarding choice of analgesics in the ED.
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Implementation Challenges for Practice Use of EHR and Patient Reported Data for Clinical Decision-Making

PRESENTERS
CAT HALLIWELL
PRO-EHR Program with University of Colorado Department of Family Medicine
BACKGROUND
The Colorado Patient Reported Outcomes and Electronic Health Record Program (PRO-EHR) partnered with a rural primary care practice in Colorado to use EHR and Quality of Life data to help vulnerable, high-risk patients during the COVID-19 pandemic. We report on significant challenges encountered. Our intent is to build a replicable, automated clinical decision-making tool for high-risk individuals. Challenges included time, EHR extraction and work-flow issues. We offer suggestions to limit the challenges described.
SETTING/POPULATION
Mid-Valley Family Practice (MVFP) is a rural private practice in Basalt, CO with robust IT support. Patient population is 22% Medicaid, 27% Medicare, 17% 65+, 30% Hispanic, 70% white. It has 1 physician, 1 nurse practitioner, 1 physician assistant, 3 nurses, 2 medical assistants, 3 front desk staff, 1 IT Manager and 2 administrative staff.
METHODS
We implemented three phases: start up, QOL administration, and EHR data extraction. Patients completed the QGEN and QDIS (Ware 2019) QOL surveys on iPads, generating a convenience sample of 250 patients. Survey responses were immediately EHR-accessible during the visit. For each respondent, EHR data was extracted based on the C-19 Index (Closed Loop). Data analysis is ongoing.
RESULTS
The project took 16 months from initiation to completion of data extraction. Participation was not paid for. It included 58 meetings. Role specific time requirements: Clinic director = 105 hrs, Practice manager = 27 hrs, Front desk staff = 19 hrs, and IT manager = 204 hrs, for a total of 355 hrs. Front desk staff helped with Spanish translation, and administered an additional 28 surveys in Spanish after collecting 244 in English. IT manager time included 24 hours for QOL survey incorporation, access, extraction, and quality control, and 180 hours for VI query creation, testing, and data extraction. The practice contacted an estimated 500 patients to yield 272 surveys. 12 of 40 VI variables were available in the EHR with over 80% complete data. Challenges included the amount of time needed, technical requirements, and extra attention to ensure inclusion of patients with additional barriers (e.g. language). Upcoming efforts now move to usability in addition to further analysis.
CONCLUSIONS
Implementation of practice-based EHR and patient reported measures requires a significant investment in clinic, provider, and staff time, and is feasible for other practices if the time commitment is available. Thus far we have accommodated the challenges, including the demands on clinic time by the ongoing COVID pandemic, novel demands on the EHR, and new workflows for collection of QOL data. Factors to consider include flexible time, designated EHR personnel, and inclusion of patients with barriers to care. Next critical usability issues include using QOL and EHR data to create a risk score that informs point of care clinical decision-making pathways for additional primary care sites.
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Medication for Opioid Use Disorders Program Expansion Impact and Plans for Sustainability in Rural Colorado

PRESENTERS
CLAUDIA AMURA, PhD, MPH
University of Colorado College of Nursing
BACKGROUND
Opioid use disorders (OUD) remain a national crisis. Over 750,000 people have died from drug overdose in the US in the last two decades, with rural counties showing the highest rates. Colorado ranks 12th nationally in non-medical use of opioids. A considerable proportion of rural Colorado represent low socio-economic, Hispanic, underserved populations. In July 2019, the Colorado Senate approved the expansion the Medication for Opioid Use Disorders (MOUD) program to increase access to care in rural areas for Coloradoans with OUD. Several rural Colorado counties were identified as health professional Shortage Areas, and prioritized by the legislature due to highest drug overdose deaths.
SETTING/POPULATION
Under SB 19-001, 8 clinical service organizations received funding to bring MOUD into 21 rural Colorado counties in a Hub and Spoke system that expanded to 51 sites. In collaboration with the Center for Prescription Drug Abuse Prevention, the CU College of Nursing provided clinical expertise, oversight, and evaluation of the program.
METHODS
The Reach, Effectiveness, Adoption, Implementation, and Maintenance and Practical Robust Implementation and Sustainability Model (RE-AIM/PRISM) frameworks informed the program planning and evaluation using de-identified patient-level data to measure OUD’s impact across various life domains. Organizational data collected by each Hub helped understand needs and plan for MOUD program sustainability.
RESULTS
Since January 2020, the Hub and Spoke system doubled the health provider capacity serving over 1700 new individuals with OUD. Patients identified as White (79%), half as Hispanics (49%), with a mean age of 26 yr. old. The vast majority were under Medicaid or uninsured (>80%), with unstable house and work situations and reported had low to fair health. The COVID-19 pandemic deeply impacted services and patient’s lives. Clinical sites focused on social determinant of health and patient centric care, , building organizational capacity in multidisciplinary teams, and developing a network for treatment and referral through community partners, care coordination systems, and peer-support specialists for resource connection. While these adaptions prove impactful for patient care and opioid use (p=0.01), only a portion of patients were retained in treatment during the pandemic. Stakeholder-informed plans for sustainability include leveraging existing partnerships, solidifying care coordination systems and pipelines for referral, integration with behavioral health, and utilization of case management and peer support specialists for patient retention in treatment.
CONCLUSIONS
Lessons learned from this implementation informed quality improvements to program implementation though enhanced capacity to offer services in rural healthcare clinics, stronger care coordination and community partnerships, and bring sustainable solutions for addressing the opioid crisis in rural Colorado.
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