Low-cost thoracentesis simulation for nurse practitioner students.

The fast-paced hospital setting is not routinely a conducive environment for practicing procedural skills. Simulation learning can provide an opportunity for learners to achieve accuracy, confidence, and competence when performing the thoracentesis procedure. The cost associated with many commercial-brand manikins and the additional supplies needed to teach thoracentesis is expensive. However, thoracentesis is a skill many nurse practitioners (NPs) need to learn. The use of a whole, unstuffed turkey purchased at a supermarket to simulate a thoracentesis is a way in which NP students can safely practice this skill. Nurse practitioner students perform assessment skills on another student, whereas students perform the thoracentesis procedure on this turkey carcass. Nurse educators can teach NP students to safely, accurately, and efficiently perform a thoracentesis procedure using a low-cost simulator. Nurse educators can teach NP students how to perform a thoracentesis using a turkey carcass at a relatively low cost with a high yield.

Using Simulation and Competency Assessment to Decrease Inappropriate Referrals to a Comprehensive Vascular Access Team.

This department column highlights translation of research into health care quality practice. Achieving the highest quality of health care requires attention to creating and sustaining process efficiencies through the development of bedside provider competencies that result in workflow improvements and positive patient outcomes. An improvement intervention aimed at decreasing unnecessary referrals to a comprehensive vascular access team (CVAT) resulted in a 21% reduction in inappropriate consults to the team in approximately 6 weeks. The purpose of this article is to describe a simulation and competency assessment intervention aimed at increasing staff nurse proficiency in the emergency department for placing ultrasound-guided intravascular catheters, thereby reducing the number of inappropriate referrals to a CVAT team.

Improving Population Health Among Uninsured Patients with Diabetes.

Diabetes is a leading cause of morbidity and mortality; prevalence of diabetes is especially high in the southeastern United States among minority populations and those from lower socioeconomic sectors without access to health care services. The purpose of this project was to evaluate the clinical and financial outcomes of a nurse-led, interprofessional collaborative practice model that provides care coordination and transitional care for uninsured patients with diabetes. Data for this study were collected and evaluated from medical records of patients seen at the Providing Access to Health Care (PATH) Clinic between August 1, 2015, through May 30, 2017. Clinical outcomes were evaluated by comparing hemoglobin A1c (HbA1c) values before and after referral to the PATH Clinic. Cost savings to the academic medical center were evaluated by comparing costs associated with inpatient or emergency department encounters before and after referral to the PATH Clinic. A significant decrease in HbA1c (P < .0005) was noted for patients attending the PATH Clinic. In addition, financial analyses revealed a 55% decrease in pre to post PATH Clinic patients' direct costs. Similarly, a 42% decrease in the pre to post PATH Clinic patients' direct cost per encounter was noted. Average length of stay also was reduced when these patients were readmitted to the academic medical center. Results from this study support the effectiveness of the PATH Clinic model in caring for uninsured patients with clinically complex medical and social needs, often with behavioral health problems, who incur high health care spending and are often readmitted.

Using Data Analytics as Evidentiary Support for Financial Outcome Success in Nurse-Led Population-Based Clinics.

Achieving the highest quality in health care requires organizations to develop clinical improvements that result in measurable outcomes for success. The purpose of this article is to demonstrate an example of clinical quality improvement through the use of data analytics to generate evidence for financial return on investment in two nurse-led, population-based clinics.