22 research outputs found

    An Advanced Registered Nurse Practitioner-Community Pharmacist Team-Based Approach to Managing Hypertension in a Rural Community Pharmacy

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    Purpose: To evaluate the implementation of an Advanced Registered Nurse Practitioner (ARNP) – community pharmacist team-based collaborative model for managing hypertension in a rural, Midwestern, community pharmacy and family medicine clinic using the core functions of the patient centered medical home model (PCMH). Methods: Thirteen patients with uncontrolled hypertension, 5 of who were newly diagnosed, were referred to the pharmacist by the ARNP. The pharmacist rechecked the patient’s blood pressure (BP) every 2 weeks after referral and made drug therapy change recommendations to the ARNP if the patient was not below goal. Results: Following the intervention, the average SBP and DBP decreased 24 mmHg and 12mmHg, respectively. The pharmacists made 21 recommendations (dose increase (11), add a medication (6), change a medication (2), and addition of an adherence tool (2)), 100% of which were accepted by the ARNP. Conclusion: A team-based approach to managing hypertension in a rural community pharmacy and family medicine clinic was an effective way to lower blood pressure. In addition, the core functions of the PCMH model can be delivered in a small family medicine practice. Creating specific expectations for each member of the team prior to referring patients improved the efficiency of the intervention.   Type: Original Researc

    We Want You Back: Uncovering the Effects on In-Person Instructional Operations in Fall 2020

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    Postsecondary institutions’ responses to COVID-19 are a topic of immediate relevance. Emergent research suggests that partisanship was more strongly linked to institutions offering in-person instruction for Fall 2020 than was COVID-19. Using data from the College Crisis Initiative and a multiple group structural equation modeling approach, we tested the relationships between our outcome of interest (in-person instruction in Fall 2020) and state and county sociopolitical features, state and county COVID-19 rates, and state revenue losses. Our full-sample model suggested that County Political Preferences had the strongest association with in-person instruction, followed by Pandemic Severity and State Sociopolitical Features. Because institutional sectors may be uniquely sensitive to these factors, we tested our models separately on 4-year public, 4-year private, and 2-year public and 2-year private institutions. State Sociopolitical Features were significantly related to in-person instruction for 4-year private and 2-year public institutions but were strongest for 4-year public institutions. For 4-year private and 2-year public institutions, County Political Preferences’ effect sizes were 2–3 times stronger than effects from State Sociopolitical Features. Pandemic Severity was significantly, negatively related to in-person instruction for 4-year private and 2-year public institutions–similar in magnitude to State Sociopolitical Features. Our analysis revealed that COVID-19 played a stronger role in determining in-person instruction in Fall 2020 than initial research using less sophisticated methods suggested—and while State Sociopolitical Features may have played a role in the decision, 4-year private and 2-year public institutions were more sensitive to county-level preferences
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