With the recent rise in opioid overdose and death1<br/><br/>, chronic opioid therapy (COT) programs using<br/>Center of Disease Control (CDC) guidelines have been implemented across the United States8<br/>.<br/>Primary care clinicians at Mayo Clinic initiated a COT program in September of 2017, during the<br/>use of Cerner Electronic Health Record (EHR) system. Study metrics included provider<br/>satisfaction and perceptions regarding opioid prescription. Mayo Clinic transitioned its EHR<br/>system from Cerner to Epic in October 2018. This study aims to understand if provider perceptions<br/>about COT changed after the EHR transition and the reasons underlying those perceptions.

The purpose of this study was to examine the demographic and geographic disparities in the incidence of newborn babies with Neonatal Abstinence Syndrome (NAS) in the United States from 2012 to 2015. Specifically, I examined the prevalence of NAS according to geographic location (i.e. urban versus rural) and race while also controlling for mother’s insurance type, median household income, and trends over time. Additional analyses explored the relationship between NAS and delivery method, birth weight, and neonatal candidiasis that causes sepsis. Understanding the disparities in NAS and birth outcomes during this period (2012-2015) can help better target interventions for combating the health and economic burdens of NAS since maternal opioid use has continued to rise since 2015. Additionally, existing research into geographic disparities in NAS have only been region-specific. This study expands the scope of this literature by considering urban versus rural disparities across the country.

This project explorers the potential reasons for the discrepancies between state responses to the COVID-19 pandemic, with a particular focus on the possibility of a correlation between political ideology and a state’s nonpharmacological intervention policy timing. In addition to outlining the current literature on the preferences of conservative and liberal ideology, examples of both past and present scientific based pandemic responses are described as well. Given the current understanding of the social and economic dimension of conservative and liberal political ideology, it was hypothesized that there may be a positive correlation between conservative ideology and premature action by a state. Data was collected on the current ideological landscape and the daily COVID-19 cases numbers of each state in addition to tracking each state’s policy changes. Two correlation tests were performed to find that there was no significant positive or negative correlation between the two variables.

Despite differences in schooling and clinical experience prior to practice, advanced practice providers often have similar scopes of practice, which raises concerns about the quality of care being provided. In this paper, we explore if prescribing patterns are comparable between provider types by comparing differences in time spent on pharmacological interventions utilizing a simulated healthcare environment. Physicians (MDs and DOs), Nurse Practitioners (NPs), and Physician Assistants (PAs) actively practicing in Family Practice/Medicine or Internal Medicine in the U.S. state license/recognition were recruited at healthcare conferences and simulation centers. Participants were provided 20 minutes to complete the patient consultation on a Standardized Patient (SP) presenting with a chief complaint of a post-hospitalization follow-up for heart failure, fatigue, and some edema. All encounters were recorded and uploaded to be reviewed by undergraduate evaluators, who were responsible for quantifying the amount of time the participants spent on each of the task categories, including pharmacologic interventions. With a total of 46 participants in this study, the average amount of time spent discussing this activity per visit across each provider type was 14.8 seconds for MDs/DOs, 29.2 seconds for NPs, and 38.8 seconds for PAs. The results of this study suggest that PAs (p= 0.0028) spent significantly more time discussing pharmacological interventions and were significantly more likely to discuss pharmacological interventions (p=0.0243) when compared with physicians (MD/DOs). It is important to note that the sample size of PAs was very small (N=9), which could potentially skew the results and not be representative of the population. With limited literature that examines whether time spent discussing pharmacological interventions is comparable across provider types, it is important for more simulated healthcare research to be conducted on this topic.

Despite differences in schooling and clinical experience prior to practice, advanced practice providers often have similar scopes of practice, which raises concerns about the quality of care being provided. In this paper, we explore if prescribing patterns are comparable between provider types by comparing differences in time spent on pharmacological interventions utilizing a simulated healthcare environment. Physicians (MDs and DOs), Nurse Practitioners (NPs), and Physician Assistants (PAs) actively practicing in Family Practice/Medicine or Internal Medicine in the U.S. state license/recognition were recruited at healthcare conferences and simulation centers. Participants were provided 20 minutes to complete the patient consultation on a Standardized Patient (SP) presenting with a chief complaint of a post-hospitalization follow-up for heart failure, fatigue, and some edema. All encounters were recorded and uploaded to be reviewed by undergraduate evaluators, who were responsible for quantifying the amount of time the participants spent on each of the task categories, including pharmacologic interventions. With a total of 46 participants in this study, the average amount of time spent discussing this activity per visit across each provider type was 14.8 seconds for MDs/DOs, 29.2 seconds for NPs, and 38.8 seconds for PAs. The results of this study suggest that PAs (p= 0.0028) spent significantly more time discussing pharmacological interventions and were significantly more likely to discuss pharmacological interventions (p=0.0243) when compared with physicians (MD/DOs). It is important to note that the sample size of PAs was very small (N=9), which could potentially skew the results and not be representative of the population. With limited literature that examines whether time spent discussing pharmacological interventions is comparable across provider types, it is important for more simulated healthcare research to be conducted on this topic.

Research Objective Social determinants of health (SDOH) are the conditions in one’s living environment that affect health, functioning, and quality of life. Total joint arthroplasty (TJA) is a surgical procedure to replace a damaged joint with an artificial joint. TJA complications include acute myocardial infarction, pneumonia, sepsis, surgical site bleeding, pulmonary embolism, or periprosthetic joint infection. Previous research demonstrates that Black race, Hispanic ethnicity and poverty were negatively associated with TJA outcomes in veterans. The goal of this mixed methods quality improvement study is to determine if SDOHs affect TJA complications at a health system in the Phoenix metropolitan area. Methodology For this study, records from patients who underwent hip or knee TJAs at any of the four system facilities between 2/2019-2/2020 were included. Demographics and clinical data were extracted from the electronic health record (EHR) via Midas+ Care Management with SDOH variables from case manager notes corresponding to food, utilities, housing and transportation insecurities, and interpersonal safety. Complications were identified using ICD-10 codes. SDOH for individuals with and without complications were compared. A multinomial logistic regression was performed in SPSS to identify significant variables. Semi-structured interviews with case managers (n=2), orthopedic surgeons(n=5), and primary care physicians (n=4) were performed to explore care team interactions with SDOH. Interview notes were coded and analyzed based on response frequency and themes. Results Of 2,520 patients who underwent TJA, 50 (1.98%) experienced a TJA complication. Of those, 38% screened positive for an SDOH. For those without a TJA complication, 27% screened positive for an SDOH (p=0.093). Most interview participants identified a correlation between socioeconomic status and surgical outcomes. They also recognized that language barriers for Spanish-speaking individuals and family involvement post-discharge are significant factors in TJA outcomes. Conclusions This single system mixed methods retrospective quality improvement study demonstrates that patients who screen positive for an SDOH are more likely to experience a TJA complication. We recommend that SDOH assessments be obtained for all patients undergoing TJA, be available to care teams, and be incorporated into care plans to improve outcomes.