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The Argus Commission identified three major federal priorities related to health care, including the precision medicine initiative, the Cancer Moonshot and the opioid abuse epidemic. Current activities at the federal level were summarized and an analysis of activities within the profession, and academic pharmacy specifically, was prepared. The implications for pharmacy education, research and practice are compelling in all three areas. Recommendations, suggestions and two policy statements aim to optimize the attention to these priorities by the academy. Further, aligning the AACP Strategic Engagement agenda with the opportunities and threats acknowledged in the analysis is essential.

According to the Centers for Disease Control and Prevention, prescribers should evaluate risk factors related to opioid use prior to initiation of opioid medication. The practice problem in this DNP project was that providers failed to consistently assess patients with complaints of pain for risk of opioid misuse and/or abuse prior to initiating opioid medication. An opioid risk-assessment screening tool (ORAST) has the potential to identify patients at high risk for opioid misuse and/or abuse. The purpose of this Doctor of Nursing Practice project was to identify and introduce an ORAST and then develop a policy to guide providers in its use in an ambulatory care clinic. Rosswurm and Larrabee's model for evidence-based practice served as the framework that helped guide project development. Evidence in the literature review supported The Opioid Risk Tool (ORT) as the most appropriate tool for the clinic. An 11-member project team voted unanimously for the ORT and to develop a policy to guide the use of the tool in the clinic. The ORT and its policy were evaluated by the team using the AGREE II Instrument. The team agreed that the ORT and its policy should be implemented into their practice setting (64% strongly agreed and 36% moderately agreed). A summative evaluation supported the Doctor of Nursing Practice student leadership of the project. Use of an ORAST has the potential to create positive social change by reducing the number of prescribed opioid by assisting providers in determining a patient's plan of care based on the patient's level of risk for prescription opioid misuse and/or abuse. Patient outcomes may be improved through reduction in opioid misuse and/or abuse.

The United States is in the midst of an opioid epidemic, which is leading to approximately 130 deaths each day. While research on family-based approaches for substance misuse prevention, such as alcohol and tobacco prevention, has been conducted, few if any studies have focused on prescription opioid misuse prevention. Previous literature suggests that a comprehensive family-based approach can be effective in preventing substance misuse at the family-level. Considering the multiple age groups the sandwich generation cares for, the sandwich generation may have greater access to reaching multiple age groups to prevent prescription opioid misuse. Therefore, the purpose of this study is to use formative research findings to inform family-based approaches focused on preventing opioid misuse. A dual method approach that includes qualitative focus groups and quantitative surveys is used to explore adults’ perceptions of prescription opioid misuse, factors perceived as influencing opioid misuse prevention, and perceived predictors of prescription opioid misuse prevention. Participants were adults, 30 to 59 years of age, which is the average age range of the sandwich generation. Extension agents recruited focus group participants (n = 55) and Qualtrics recruited survey participants (n = 335) for this study. Focus group transcripts were coded based on common ideas that arose during the focus groups, previous literature, and the PRECEDE-PROCEED model. Focus group findings indicate that participants view the opioid crisis as a family problem, in which they have a role in preventing, and identified predisposing, reinforcing, and enabling factors that influence whether family members take a role in preventing prescription opioid misuse. Univariate frequencies and multiple linear regression analyses results of the survey data indicate that Theory of Planned Behavior determinants are predictive of the intention to talk about opioids with friends and family. In addition, comfort predicts intention to talk about opioids with friends and family, suggesting that Theory of Planned Behavior determinants and comfort predict intention. Extension agents, family life educators, and other community-health professionals can collaborate and use these findings to develop family-based approaches, such as family communication training and brief strategic family therapy, combined with community-based approaches such as motivational interviewing and media campaigns.

The Appalachian Region continues to experience higher rates of opioid misuse and overdose deaths than other parts of the country. While the impact of the burgeoning epidemic is being felt nationwide, states and counties within the Appalachian Region are particularly hard hit, with opioid overdose rates more than double national averages. Drawing on the research presented in the health disparities and Bright Spot reports, this brief: ■ summarizes statistics on opioid misuse and overdose deaths in Appalachian communities, ■ discusses key strategies and resources for addressing opioid misuse and overdose deaths, and ■ provides recommendations for community leaders, funders, and policymakers. This brief features promising practices, intervention strategies, and policy development and implementation ideas to reduce health disparities related to opioid misuse and overdose deaths. This brief discusses five recommendations in detail: 1. Prevent opioid misuse. 2. Increase access to treatment for opioid use disorder. 3. Implement harm reduction strategies to reduce the consequences of opioid use disorder. 4. Support long-term recovery of opioid use disorder. 5. Implement community-based solutions to prevent substance misuse.

Epic morbidity and mortality, and intractability make prescription opioid diversion a wicked problem. Meanwhile, college undergraduates are vulnerable to opioid misuse and its consequences. The purpose of this quantitative study was to assess U.S. undergraduate students' opioid misuse and the relationship between mediating factors. The study's theoretical framework rested on Wakeland's et al. opioid system model and Shaw and McKay's social disorganization theory. This study bridged the gap, measuring collective efficacy and testing its relationship to undergraduate decisions to regulate misuse. Thus, research questions focused on gauging the problem's scope and assessing relationships between factors that drive or potentially regulate diversion. The Campus Opioid Diversion Survey, designed for this study, was administered to a nonrandom, undergraduate survey panel (N = 434), revealing past year opioid misuse at 6.9% and heroin use at 2.9%. While a chi-square test revealed no significant relationship between motives and sources for misuse, significant relationships were found between filling a prescription for opioids and misuse, between opioid and heroin use, and between observing the negative consequences of misuse and social action. An independent samples t-test showed a significant relationship between collective efficacy and social action. Findings show campus diversion remains an emerging health and safety issue, but that collective efficacy indicates a capacity for regulation. Anticipating misuse, public safety stakeholders should complement responses to diversion schemes with continuous assessment, communications that empower student-citizens, and focused promotion of social cohesion that will fuel mitigation via social action aimed at social change.

<div>This dissertation consists of three chapters. The first chapter, Inertia and Switching in Health Insurance Plans, seeks to examine health insurance choice of families and individuals employed by a large Midwestern public university during the years 2012-2016. A growing number of studies indicate that consumers do not understand the basics of health insurance, make inefficient plan choices, and may hesitate to switch plans even when it is optimal to do so. In this study, I identify what are later defined as unanticipated, exogenous health shocks in the health insurance claims data, in order to examine their effect on families' plan choice and switching behavior. Observing switches into relatively generous plans after a shock is indicative of adverse selection. Adverse retention and inertia, on the other hand, may be present if people remain in the relatively less generous plans after experiencing a shock. The results could help inform the policy-makers about consumer cost-effectiveness in plan choice over time.</div><div> Physicians’ relationships with the pharmaceutical industry have recently come under public scrutiny, particularly in the context of opioid drug prescribing. The second chapter, Pharmaceutical Opioid Marketing and Physician Prescribing Behavior, examines the effect of doctor-industry marketing interactions on subsequent prescribing patterns of opioids using linked Medicare Part D and Open Payments data for the years 2014-2017. Results indicate that both the number and the dollar value of marketing visits increase physicians’ patented opioid claims. Furthermore, direct-to-physician marketing of safer abuse-deterrent formulations of opioids is the primary driver of positive and persistent spillovers on the prescribing of less safe generic opioids - a result that may be driven by insurance coverage policies. These findings suggest that pharmaceutical marketing efforts may have unintended public health implications.</div><div> The third chapter, Accountable Care Organizations and Physician Antibiotic Prescribing Behavior, examines the effects of Accountable Care Organizations (ACOs). Physician accountable care organization affiliation has been found to reduce cost and improve quality across metrics that are directly measured by the ACO shared savings program. However, little is known about potential spillover effects from this program onto non-measured physician behavior such as antibiotic over-prescribing. Using a two-part structural selection model that accounts for selection into treatment (ACO group), and non-treatment (control group), this chapter compares physician/nurse antibiotic prescribing across these groups with adjustment for geographic, physician, patient and institutional characteristics. Heterogeneous treatment responses across specialties are also estimated. The findings indicate that ACO affiliation helps reduce antibiotic prescribing by 23.9 prescriptions (about 19.4 percent) per year. The treatment effects are found to vary with specialty with internal medicine physicians experiencing an average decrease of 19 percent, family and general practice physicians a decrease of 16 percent, and nurse practitioners a reduction of 12.5 percent in their antibiotic prescribing per year. In terms of selection into treatment, the failure to account for selection on physician unobservable characteristics results in an understating of the average treatment effects. In assessing the impact of programs, such as the ACO Shared Savings Program, which act to augment how physicians interact with each other and their patients, it is important to account for spillover effects. As an example of such spillover effect - this study finds that ACO affiliation has had a measurable impact on physician antibiotic prescribing.</div>