A Theory-Based Approach for Identifying Nurse and Team Member Contributions in the Electronic Health Record.

INTRODUCTION: Team-based care delivered by an interprofessional team has been shown to be an effective strategy for caring for diverse, complex patient populations. Interprofessional teams can improve outcomes, reduce costs, and enhance the patient experience through patient-centered care. Nurses are essential members of healthcare teams within and across settings. BACKGROUND: It is imperative for practicing nurses, educators, and researchers to be able to identify and report the contributions of nurses to team performance and care outcomes to prepare students for high-performance teamwork to improve practice and influence healthcare policy. Currently, the work of many nurses and other team members is not discoverable in electronic health records. Methods used to identify all members of the healthcare team may not be aligned with theories and definitions of teamwork embedded in emerging nursing and interprofessional accreditation guidelines. PURPOSE: This paper describes a promising new, theoretically grounded approach to identify team members, including nurses, in electronic health records. METHODS: Using operational constructs from a common team definition, grounded in theory, primary care teams were data mined from EHR data to find the hidden members of the team. DISCUSSION/CONCLUSION: Further testing and use of this approach have the potential to provide a robust strategy to identify and distinguish each team member's contributions to clinical outcomes while laying the foundation for a meaningful study of teams in large data sets like the electronic health record. CLINICAL RELEVANCE: New strategies to study nursing and team member contributions utilizing EHR data may lead to improved clinical outcomes. A better understanding of how teams are structured may enhance the understanding of each team member's contribution to outcomes and lead to more equitable recognition and reimbursement for all team members.

Perceived efficacy and utility of postgraduate physician assistant training programs.

OBJECTIVE: The purpose of this study was to explore graduates' perceptions of the efficacy and perceived utility of postgraduate physician assistant (PA) programs. METHODS: Using an online tool, a survey was sent to postgraduate PA program graduates that contained demographic questions and descriptive questions examining the perceived utility of completing a postgraduate PA program. RESULTS: Surveys were e-mailed to 149 graduates of postgraduate PA programs; 113 responded (75% response rate). After completing postgraduate training, 97% of graduates felt their training made them more competitive in the job market; 74% believed time from orientation to full productivity was reduced; and 95% would recommend completion of a postgraduate training program. CONCLUSIONS: Completion of a postgraduate PA program is an alternative to on-the-job training. Graduates perceived that the benefits from these programs include increased competitiveness in the job market, decreased onboarding time, and overall enhancement of their professional careers.

Measuring the Impact of Primary Care Team Composition on Patient Activation Utilizing Electronic Health Record Big Data Analytics.

Purpose: Team-based care has been linked to key outcomes associated with the Quadruple Aim and a key driver of high-value patient-centered care. Use of the electronic health record (EHR) and machine learning have significant potential to overcome previous barriers to studying the impact of teams, including delays in accessing data to improve teamwork and optimize patient outcomes. Methods: This study utilized a large EHR dataset (n=316,542) from an urban health system to explore the relationship between team composition and patient activation, a key driver of patient engagement. Teams were operationalized using consensus definitions of teamwork from the literature. Patient activation was measured using the Patient Activation Measure (PAM). Results from multilevel regression analyses were compared to machine learning analyses using multinomial logistic regression to calculate propensity scores for the effect of team composition on PAM scores. Under the machine learning approach, a causal inference model with generalized overlap weighting was used to calculate the average treatment effect of teamwork. Results: Seventeen different team types were observed in the data from the analyzed sample (n=12,448). Team sizes ranged from 2 to 5 members. After controlling for confounding variables in both analyses, more diverse, multidisciplinary teams (team size of 4 or more) were observed to have improved patient activation scores. Conclusions: This is the first study to explore the relationship between team composition and patient activation using the EHR and big data analytics. Implications for further research using EHR data and machine learning to study teams and other patient-centered care are promising and could be used to advance team science.

Competency-Based Interprofessional Continuing Education Focusing on Systems Thinking and Health Care Delivery for Health Care Professionals.

INTRODUCTION: Comprehensive, high-value patient-centered care incorporates many facets of the health care system that are beyond the realm of traditional medical knowledge and/or clinical skills. METHODS: We describe a novel, learning program integrating systems-based practice curricula into competency-based interprofessional continuing education curriculum for health care professionals. The program incorporated experiential, team-based learning through the development of quality improvement projects. Presurveys and postsurveys assessed participant knowledge and skills. Mixed-level modeling analysis was used to examine the differences across all participants and each cohort. RESULTS: Across all individuals in all cohorts, postsurvey scores significantly improved (pretest score 2.65) (P ≤ .001). Controlling for cohort year, postsurvey scores increased between cohorts 1 and 2 (B = 0.52; P = .01) and between cohorts 2 and 3 (B = 0.24; P = .15), although increased were nonsignificant. Cohort participants also participated in health systems improvement projects and leveraged improved patient outcomes. DISCUSSION: This project signifies a unique approach to delivering systems-based curricula to interprofessional learners in the health care system. Participants became more engaged in systems change, influenced network-level QI initiatives and improvement projects, and positively influenced patient-centered outcomes. Health systems can model this program by partnering with academic organizations to scale and disseminate best practices.

Team-Based Care and Patient Satisfaction in the Hospital Setting: A Systematic Review.

PURPOSE: Limited research examining the relationship between team-based models of care and patient satisfaction in the hospital setting is available. The purpose of this literature review was to explore this relationship as well as the relationships between team composition, team-based interventions, patient satisfaction, and other outcomes of care when measured as part of the study. METHODS: A systematic appraisal of research studies published through February 2017 was conducted using PubMed, Cochrane Library, CINAHL, Embase, Ovid, gray literature and Google Scholar. Inclusion criteria were 1) experimental (randomized control trials), quasi-experimental, or non-experimental (cross-sectional) study design; 2) team-based care interventions; 3) hospital setting; 4) patient satisfaction measured as an outcome; and 5) published in English. RESULTS: The literature search yielded 15,247 citations. In total, 142 articles were retrieved for full-text screening; 21 studies met inclusion criteria. Overall, 57% of the studies identified a statistically significant improvement in patient satisfaction associated with team-based care. Team-based care interventions ranged from single team activities such as multidisciplinary rounds to comprehensive team-based models of care. Patient satisfaction scores were greater with teams that had more than two professions and more comprehensive team-based models. About one-quarter of studies that measured patient satisfaction and at least one additional outcome demonstrated improvement in both. CONCLUSIONS: Team-based care may positively affect patient satisfaction. Team composition and type of team intervention appears to influence the strength of the relationship. Improvements in satisfaction are not consistently accompanied by improvements in other outcomes.

A hospitalist postgraduate training program for physician assistants.

Many hospitalist groups are hiring physician assistants (PAs) to augment their physician services. Finding PAs with hospitalist experience is difficult. Employers often have to recruit PAs from other specialties or hire new graduates who have limited hospital experience. Furthermore, entry-level PA training focuses on primary care, with more clinical rotations centered in the outpatient setting. In light of these challenges, our institution created a 12-month postgraduate training program in Hospital Medicine for 1 PA per year. It is the first reported postgraduate PA hospitalist fellowship to offer a certificate of completion. The program's curriculum is based on the Society of Hospital Medicine (SHM) "Core Competencies," and is comprised of 12 one-month rotations in different aspects of hospital medicine supplemented by formal didactic instruction. In addition, the PA fellow completes "teaching modules" on various topics not directly covered in their rotations. Furthermore, this postgraduate physician assistant training program represents a model that can be utilized at almost any institution, academic or community-based. As the need for hospitalists increases, so will the need for trained physician assistants in hospital medicine.

A case of simultaneous pulmonary embolism and acute myocardial infarction secondary to a previously undiagnosed patent foramen ovale.

We describe a 79-year-old male with recurrent high-grade liposarcoma who developed postoperative chest pain, dyspnea, and hypoxia suspicious for acute pulmonary embolism (PE). However, electrocardiogram (ECG) was suggestive of an acute ST-elevation myocardial infarction (MI). Heparin was initiated and emergent coronary angiography was performed, which demonstrated a "cutoff sign" in the distal left anterior descending artery (LAD) consistent with coronary embolism. A patent foramen ovale (PFO) and bilateral pulmonary emboli were subsequently identified. It was concluded that the patient had suffered an acute PE, with a portion of clot traversing the PFO and entering the LAD, resulting in a simultaneous acute ST-elevation MI. While the case described is rare, the underlying anatomical variant is common and may have practical significance. We discuss the literature regarding PFO with acute PE and paradoxical emboli.