Association of Primary Care Team Composition and Clinician Burnout in a Primary Care Practice Network

Principles for the Physician-Led Patient-Centered Medical Home and Other Approaches to Team-Based Care: A Position Paper From the American College of Physicians

Team-based care models such as the Patient-Centered Medical Home are associated with improved patient health outcomes, better team coordination and collaboration, and increased well-being among health care professionals. Despite these attributes, hindrances to wider adoption remain. In addition, some health care professionals have sought to practice independent of the physician-led health care team, potentially undermining patient access to physicians who have the skills and training to deliver whole-person, comprehensive, and longitudinal care. In this paper, the American College of Physicians reaffirms the importance of the physician-led health care team and offers policy recommendations on professionalism, payment models, training, licensure, and research to support the expansion of dynamic clinical care teams.

Modeling Family Medicine Provider Care Team Design to Improve Patient Care Continuity

BACKGROUND AND OBJECTIVES

Continuity of care is an integral aspect of high-quality patient care in primary care settings. In the Department of Family Medicine at Mayo Clinic, providers have multiple responsibilities in addition to clinical duties or panel management time (PMT). These competing time demands limit providers' clinical availability. One way to mitigate the impact on patient access and care continuity is to create provider care teams to collectively share the responsibility of meeting patients' needs.

METHODS

This study presents a descriptive characterization of patient care continuity based on provider types and PMT. Care continuity was measured by the percentage of patient a ppointments s een by a provider in their o wn c are t eam (ASOCT) with the aim of reducing the variability of provider care team continuity. The prediction method is iteratively developed to illustrate the importance of the individual independent components. An optimization model is then used to determine optimal provider mix in a team.

RESULTS

The ASOCT percentage in current practice among care teams ranges from 46% to 68% and the per team number of MDs varies from 1 to 5 while the number of nurse practitioners and physician assistants (NP/PAs) ranges from 0 to 6. The proposed methods result in the optimal provider assignment, which has an ASOCT percentage consistently at 62% for all care teams and 3 or 4 physicians (MDs) and NP/PAs in each care team.

CONCLUSIONS

The predictive model combined with assignment optimization generates a more consistent ASOCT percentage, provider mix, and provider count for each care team.

Comparison of Ambulatory Quality Measures Between Shared Practice Panels and Independent Practice Panels

Objective

To assess for differences in patient care outcomes in the primary care setting for patients assigned to an independent practice panel (IPP) or a shared practice panel (SPP).

Patients and Methods

We retrospectively reviewed the electronic health records of patients of 2 Mayo Clinic family medicine primary care clinics from January 1, 2019 to December 31, 2019. Patients were assigned to either an IPP (physician or advanced practice provider [APP]) or an SPP (physician and ≥1 APP). We assessed 6 measures of quality care and compared them between IPP and SPP groups: diabetes optimal care, hypertension control, depression remission at 6 months, breast cancer screening, cervical cancer screening, and colon cancer screening.

Results

The study included 114,438 patients assigned to 140 family medicine panels during the study period: 87 IPPs and 53 SPPs. The IPP clinicians showed improved quality metrics compared with the SPP clinicians for the percentage of assigned patients achieving depression remission (16.6% vs 11.1%; P<.01). The SPP clinicians showed improved quality metrics compared with that of the IPP clinicians for the percentage of patients with cervical cancer screening (79.1% vs 74.2%; P<.01). The mean percentage of the panels achieving optimal diabetes control, hypertension control, colon cancer screening, and breast cancer screening were not significantly different between IPP and SPP panels.

Conclusion

This study shows a considerable improvement in depression remission among IPP panels and in cervical cancer screening rates among SPP panels. This information may help to inform primary care team configuration.

"Where You Feel Like a Family Instead of Co-workers": a Mixed Methods Study on Care Teams and Burnout

BACKGROUND

Physicians and nurses face high levels of burnout. The role of care teams may be protective against burnout and provide a potential target for future interventions.

OBJECTIVE

To explore levels of burnout among physicians and nurses and differences in burnout between physicians and nurses, to understand physician and nurse perspectives of their healthcare teams, and to explore the association of the role of care teams and burnout.

DESIGN

A mixed methods study in two school of medicine affiliated teaching hospitals in an urban medical center in Baltimore, Maryland.

PARTICIPANTS

Participants included 724 physicians and 971 nurses providing direct clinical care to patients.

MAIN MEASURES AND APPROACH

Measures included survey participant characteristics, a single-item burnout measure, and survey questions on care teams and provision of clinical care. Thematic analysis was used to analyze qualitative survey responses from physicians and nurses.

KEY RESULTS

Forty-three percent of physicians and nurses screened positive for burnout. Physicians reported more isolation at work than nurses (p<0.001), and nurses reported their care teams worked efficiently together more than physicians did (p<0.001). Team efficiency was associated with decreased likelihood of burnout (p<0.01), and isolation at work was associated with increased likelihood of burnout (p<0.001). Free-text responses revealed themes related to care teams, including emphasis on team functioning, team membership, and care coordination and follow-up. Respondents provided recommendations about optimizing care teams including creating consistent care teams, expanding interdisciplinary team members, and increasing clinical support staffing.

CONCLUSIONS

More team efficiency and less isolation at work were associated with decreased likelihood of burnout. Free-text responses emphasized viewpoints on care teams, suggesting that better understanding care teams may provide insight into physician and nurse burnout.

The effect of primary care clinician type and care team characteristics on health care costs

OBJECTIVE

To evaluate health care costs as a function of assigned primary care clinician type and care team characteristics.

METHODS

Administrative data were collected for 68 family medicine clinicians (40 physicians and 28 nurse practitioners [NPs]/physician assistant [PAs]), on 11 care teams (variable MD, NP and PA on teams), caring for 77,141 patients. We performed a generalized linear mixed multivariable regression model of standardized per member per month (PMPM) median cost as the outcome, with four practice sites included as random effects.

RESULTS

In bivariate analysis, cost was higher in physicians than NP/PAs, in more complex patients, and associated with emergency department (ED) visit rate. On multivariate analysis, patient complexity, ED visit rate and higher patient experience ratings were independently associated with greater PMPM cost. More time in practice was associated with lower PMPM cost. In the adjusted multivariate model, physicians had 8.3% lower median PMPM costs than NP/PAs (p = 0.046).

CONCLUSIONS

The primary drivers of greater PMPM cost were patient complexity, ED visits and patient satisfaction.

Primary Care Nurses' Perception of Leadership and the Influence of Individual and Work Setting Characteristics: A Descriptive Study

AIMS

To describe primary care nurses' perceptions of their formal leaders' leadership behaviors and outcomes and explore differences based upon nurses' individual and work setting characteristics.

BACKGROUND

Formal nursing leadership is positively associated with patient, nurse workforce, and organizational outcomes, yet no studies have examined primary care nurses' perception of formal leadership behaviors and outcomes in the United States.

METHODS

Cross-sectional survey data from 335 primary care nurses were analyzed to assess perceived leadership behaviors associated with transformational, transactional, and passive-avoidant leadership styles, perceived leadership outcomes, and individual and work setting characteristics.

RESULTS

Positive leadership behaviors (transformational) were lower than those reported for other settings. There were significant differences in nurses' perceptions of their leaders' leadership behaviors and outcomes based upon individual and work setting characteristics.

CONCLUSION

This study confirmed differences in perception of leadership and that individual and work setting characteristics influence nurses' perception of their leaders in primary care.

IMPLICATIONS FOR NURSING MANAGEMENT

Leaders must be versatile and consider the unique needs of each staff member and the influence of clinic characteristics.

Analysis of Variation in Organizational Definitions of Primary Care Panels: A Systematic Review

IMPORTANCE

Primary care panel size plays an increasing role in measuring primary care provider (ie, physicians and advanced practice providers, which include nurse practitioners and physician assistants) workload, setting practice capacity, and determining pay and can influence quality of care, access, and burnout. However, reported panel sizes vary widely.

OBJECTIVE

To identify how panels are defined, the degree of variation in these definitions, the consequences of different definitions of panel size, and research on strengths of different approaches.

EVIDENCE REVIEW

Following Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines, MEDLINE, Web of Science, Embase, and Dissertations and Theses Global databases were searched from inception to April 28, 2021, for subject headings and text words to capture concepts of primary care panel size. Article review and data abstraction were performed independently by 2 reviewers. Main outcomes reported included rules for adding or removing patients from panels, rules for measuring primary care provider resources, consequences of different rules on reported panel size, and research on advantages and disadvantages of different rules.

FINDINGS

The literature search yielded 1687 articles, with 294 potentially relevant articles and 74 containing relevant data. Specific practices were identified from 29 health care systems and 5 empanelment implementation guides. Patients were most commonly empaneled after 1 primary care visit (24 of 34 [70.6%]), but some were empaneled only after several visits (5 [14.8%]), enrollment in a health plan (4 [11.8%]) or any visit to the health care system (1 [3.0%]). Patients were removed when no visit had occurred in a specified look-back period, which varied from 12 to 42 months. Regarding primary care provider resources, half of organizations assigned advanced practice providers independent panels and half had them share panels with a physician, increasing the physician's panel by 50% to 100%. Analyses demonstrated that changes in individual rules for adding patients, removing patients, or estimating primary care provider resources could increase reported panel size from 20% to 100%, without change in actual primary care provider workload. No research was found investigating advantages of different definitions.

CONCLUSIONS AND RELEVANCE

Much variation exists in how panels are defined, and this variation can have substantial consequences on reported panel size. Research is needed on how to define primary care panels to best identify active patients, which could contribute to a widely accepted standard approach to panel definition.

Gender Differences in Work-Life Integration Among Medical Physicists

Purpose

To generate an understanding of the primary concerns facing medical physicists regarding integration of a demanding technical career with their personal lives.

Methods and Materials

In 2019, we recruited 32 medical physics residents, faculty, and staff via emails to US medical physics residency program directors to participate in a 1-hour, semistructured interview that elicited their thoughts on several topics, including work–life integration. Standard techniques of qualitative thematic analysis were used to generate the research findings.

Results

Of the participants, 50% were women and 69% were non-Hispanic White individuals, with a mean (SD) age of 37.5 (7.4) years. They were evenly split between residents and faculty or staff. Participant responses centered around 5 primary themes: the gendered distribution of household responsibilities, the effect of career or work on home and family life, the effect of family on career or work, support and strategies for reconciling work–life conflicts, and the role of professional societies in addressing work–life integration. Participants expressed concern about the effect of heavy workloads on home life, with female respondents more likely to report carrying the majority of the household burden.

Conclusions

Medical physicists experience challenges in managing work–life conflict amid a diverse array of personal and professional responsibilities. Further investigations are needed to quantitatively assess the division of work and household labor by gender in medical physics, particularly after the outbreak of the COVID-19 pandemic, but this study's qualitative findings suggest that the profession should consider ways to address root causes of work–life conflict to promote the future success and well-being of all medical physicists, and perhaps women in particular.

Clinician Care Team Composition and Health Care Utilization

Objective

To test the hypothesis that a greater proportion of physician time on primary care teams are associated with decreased emergency department (ED) visits, hospital admissions, and readmissions, and to determine clinician and care team characteristics associated with greater utilization.

Patients and Methods

We retrospectively analyzed administrative data collected from January 1 to December 31, 2017, of 420 family medicine clinicians (253 physicians, 167 nurse practitioners/physician assistants [NP/PAs]) with patient panels in an integrated health system in 59 Midwestern communities serving rural and urban areas in Minnesota, Wisconsin, and Iowa. These clinicians cared for 419,581 patients through 110 care teams, with varying numbers of physicians and NP/PAs. Primary outcome measures were rates of ED visits, hospitalizations, and readmissions.

Results

The proportion of physician full-time equivalents on the team was unrelated to rates of ED visits (rate ratio [RR] = 0.826; 95% confidence interval [CI], 0.624 to 1.063), hospitalizations (RR = 0.894; 95% CI, 0.746 to 1.072), or readmissions (RR = –0.026; 95% CI, 0.364 to 0.312). In separate multivariable models adjusted for clinician and practice-level characteristics, the rate of ED visits was positively associated with mean panel hierarchical condition category (HCC) score, urban vs rural setting, NP/PA vs physician, and lower years in practice. The rate of inpatient admissions was associated with HCC score, and 30-day hospital readmissions were positively associated with HCC score, lower years in practice, and male clinicians.

Conclusion

Care team physician and NP/PA composition was not independently related to utilization. More complex panels had higher rates of ED visits, hospitalization, and readmissions. Statistically significant differences between physician and NP/PA panels were only evident for ED visits.

Role and Growth of Independent Medicare-Billing Otolaryngologic Advanced Practice Providers

OBJECTIVE

To evaluate the role and growth of independently billing otolaryngology (ORL) advanced practice providers (APPs) within a Medicare population.

STUDY DESIGN

Retrospective cross-sectional study.

SETTING

Medicare Provider Utilization and Payment Data: Physician and Other Supplier Data Files, 2012-2017.

METHODS

This retrospective review included data and analysis of independent Medicare-billing ORL APPs. Total sums and medians were gathered for Medicare reimbursements, services performed, number of patients, and unique Current Procedural Terminology (CPT) codes used, along with geographic and sex distributions.

RESULTS

There has been near-linear growth in number of ORL APPs (13.7% to 18.4% growth per year), with a 115.4% growth from 2012 to 2017. Similarly, total Medicare-allowed reimbursement (2012: $15,568,850; 2017: $35,548,446.8), total number of services performed (2012: 313,676; 2017: 693,693.7), and total number of Medicare fee-for-service (FFS) patients (2012: 108,667; 2017: 238,506) increased. Medians of per APP number of unique CPT codes used, Medicare-allowed reimbursement, number of services performed, and number of Medicare FFS patients have remained constant. There were consistently more female APPs than male APPs (female APP proportion range: 71.3%-76.7%). Compared to ORL physicians, there was a significantly greater proportion of APPs practicing in a rural setting as opposed to urban settings (2017: APP proportion 13.6% vs ORL proportion 8.4%; P < .001).

CONCLUSION

Although their scope of practice has remained constant, independently billing ORL APPs are rapidly increasing in number, which has led to increased Medicare reimbursements, services, and patients. ORL APPs tend to be female and are used more heavily in regions with fewer ORL physicians.

Relationship of Clinician Care Team Composition and Diabetes Quality Outcomes

The objective was to determine if a greater proportion of physician full-time equivalent (FTE%) relative to nurse practitioners/physician assistants (NPs/PAs) on care teams was associated with improved individual clinician diabetes quality outcomes. The authors conducted a retrospective cross-sectional study of 420 family medicine clinicians in 110 care teams in a Midwest health system, using administrative data from January 1, 2017 to December 31, 2017. Poisson regression was used to examine the relationship between physician FTE% and the number of patients meeting 5 criteria included in a composite metric for diabetes management (D5). Covariates included panel size, clinician type, sex, years in practice, region, patient satisfaction, care team size, rural location, and panel complexity. Of the 420 clinicians, 167 (40%) were NP/PA staff and 253 (60%) were physicians. D5 criteria were achieved in 37.9% of NP/PA panels compared with 44.5% of physician panels (P < .001). In adjusted analysis, rate of patients achieving D5 was unrelated to physician FTE% on the care team (P = .78). Physicians had a 1.082 (95% confidence interval 1.007-1.164) times greater rate of patients with diabetes achieving D5 than NPs/PAs. Clinicians at rural locations had a .904 (.852-.959) times lower rate of achieving D5 than those at urban locations. Physicians had a greater rate of patients achieving D5 compared with NPs/PAs, but physician FTE% on the care team was unrelated to D5 outcomes. This suggests that clinician team composition matters less than team roles and the dynamics of collaborative care between members.