Abstract
BACKGROUND
The Nurse Practitioner (NP) workforce represents a substantial supply of primary care providers able to contribute to meeting a growing demand for care. However, controversy exists regarding the expanding role of NPs in primary care in terms of challenging the teamwork between NPs and physicians. To date, no empirical evidence exists regarding how to promote teamwork in primary care between NPs and physicians.
OBJECTIVE
We investigated whether NP autonomy within primary care practices and the relationships they have with leadership affect teamwork between NPs and physicians.
DESIGN
Using a cross-sectional survey design, data was collected from 163 primary care practices in Massachusetts.
PARTICIPANTS
Three hundred and fourteen primary care NPs completed and returned the mail survey yielding a response rate of 40 %.
MAIN MEASURES
The Autonomy and Independent Practice (AIP) and NP-Administration Relations (NP-AR) scales were used to measure NP independent practice and the relationships with leadership, respectively. These measures were aggregated to the practice level. Teamwork between NPs and physicians was measured at the individual NP level using the Teamwork (TW) scale.
KEY RESULTS
The multilevel linear regression models investigated the influence of practice-level NP autonomy and the relationship between NPs and leadership on teamwork. With every unit increase on the practice-level mean score of AIP centered at the grand mean, the mean TW score increased by 0.271 units (p < 0.0001). With every unit increase of NP-AR centered at the grand mean, the mean TW score increased by 0.375 (p < 0.001). Over one-third (41.3 %) of the variance in teamwork could be explained by the final model.
CONCLUSION
The study findings demonstrate that NP autonomy and favorable relationships with leadership improve teamwork. Policy and organizational change should focus on promoting NP autonomy and improving the relationship between NPs and leadership to improve teamwork and consequently improve patient care and outcomes.
Electronic supplementary material
The online version of this article (doi:10.1007/s11606-016-3652-z) contains supplementary material, which is available to authorized users.
KEY WORDS: primary care, nursing, workforce
INTRODUCTION
The implementation of national health reform with millions of people receiving insurance coverage is amplifying the existing challenges facing primary care. A major issue centers on how to increase capacity while improving quality and cost effectiveness. Policy makers and researchers are proposing innovative strategies and various workforce utilization models to assure the system is prepared as more people are gaining access.1,2 While some strategies seek to increase the number of primary care providers (PCPs),3,4 others seek to encourage efficient use of existing providers.5
Some policy initiatives, such as medical homes, focus on delivering team-based care to increase primary care capacity and improve patient outcomes.5 In high-functioning teams, with the aid of technology, PCPs could see almost five times more patients.1 In addition, outcomes are significantly better for patients who receive care from teams rather than from individual clinicians,6 especially when team members constantly interact and have a shared team vision.7 Thus, primary care is being transformed into care delivered in teams comprised of clinicians from multiple disciplines, including nurse practitioners (NPs) and physician assistants.8,9 Policy recommendations are supportive of this trend as a means to increase access, improve care, and control costs.10,11 To achieve these goals, primary care practices are implementing team-based models to optimally utilize the available workforce.2 However, one of the major debates surrounding team development in primary care revolves around the role and expanding scope of practice of NPs in teams that already have less defined and varied structures.12
State and organizational policies create confusion around NP roles. In some states, regulations require NPs to collaborate or be supervised by physicians, whereas in other states, these regulatory requirements have been removed by policy makers.13 Similarly, some organizations restrict NP practice or fail to provide necessary support so NPs can maximally contribute their advanced skills to teams.14,15
Teamwork between NPs and physicians in primary care has received attention due to their overlapping scopes of practice16–18 and the fact that lack of agreement exists between them about their respective roles.19 Also, some call for restricting NP autonomy to assure effective primary care.16 Evidence is clear that patients benefit from care by interdisciplinary teams,6 and practices that promote teamwork, collegiality, and better relationships between providers and leadership provide better care.20–22 On the other hand, when patient care suffers, fragmented teamwork and poor collaboration and communication between team members are often found to be contributing factors, and the impact of errors resulting from poor teamwork can be detrimental for patient safety.23,24 Thus, effective teamwork is key in addressing access and quality of care challenges facing primary care; however, restricting the autonomy of certain team members might challenge it. A well-developed body of science in organizational studies suggests that incorporating individual team member autonomy in team designs is an effective approach to building successful teams.25,26 In teams, members should have autonomy while recognizing that their contributions to the team will vary given the differences in their expertise. In one study conducted with nurses in hospitals, researchers found that nurses’ autonomy did not undermine teamwork between nurses and physicians, but rather, improved it.27 Leadership can play a vital role in promoting teamwork28,29 by engaging members into collaborative efforts and changing the organizational structures to better meet patients’ and providers’ needs.22,30,31
Despite the attention in recent years on primary care teams, we lack empirical evidence about how to promote teamwork. Moreover, there is no evidence regarding how NP autonomy—defined in the literature as NPs’ ability to make independent care decisions15—or how the relationships NPs have with leadership influence teamwork between NPs and physicians. Evidence is needed to help policy makers, administrators, and clinicians advocate for policy and organizational change that promote teamwork. This is especially important given the changing landscape of primary care, the shifting attention to team-based care, a predicted increase in NP numbers,32 and patients’ openness to a greater role for NPs in their care.33 In this study, we investigated whether NP autonomy and independent practice and their relationships with leadership affect teamwork between NPs and physicians.
METHODS
Design
The study used a cross-sectional survey design. It was approved by the Institutional Review Board of Columbia University Medical Center.
Measures
We measured NP autonomy and independent practice and relationships with leadership using the Autonomy and Independent Practice (AIP) and NP-Administration Relations (NP-AR) scales of the Nurse Practitioner Primary Care Organizational Climate Questionnaire (NP-PCOCQ), respectively.34 NP-PCOCQ is designed to measure primary care NP work context and has strong psychometric properties.34 The five-item AIP scale assesses NPs’ perceptions of their ability to freely apply their knowledge and skills to provide care. The nine-item NP-AR scale measures the relationship between NPs and leadership. While there can be a wide variability across practices in terms of leadership structure, in prior work we found that NPs consider practice managers and medical directors as leadership.15,35 We created practice-level measures of AIP and NP-AR to demonstrate whether NPs from the same practice give consistent responses. Teamwork between NPs and physicians was measured at the individual NP level using the five-item Teamwork (TW) scale.36 For each item on the scales, NPs rate their response on a four-point scale: “1” strongly disagree; “2” disagree; “3” agree; and “4” strongly agree.
We also collected information about NPs including age, sex, education, and years of experience, and about practices including location (urban or non-urban), size (number of NPs), and type (physician office, community health center, etc.). NPs reported whether they have their own patient panel to whom they provide ongoing care.
Sample and Survey Administration
We identified NPs and their practices using the Massachusetts Provider Database (MPD), which was developed and is maintained by Massachusetts Health Quality Partners (MHQP),37 a coalition of health plans, hospitals, and government agencies in Massachusetts (MA). To update the MPD, MHQP contacts practices annually to request information about primary care physicians and specialists who are listed as providers for at least one of the five major health plans in MA. In 2011, for the first time, MHQP requested information about NPs, including their role as a PCP or NP specialist. In 2012, out of 1458 NPs identified by MHQP, 807 delivered primary care. We extracted their practice addresses and sent mail surveys to 807 NPs. Following a modified Dillman guide for surveys,38 we sent a postcard reminder and conducted a second mailing to non-responders. A convenience sample of 314 NPs returned the completed surveys, yielding a response rate of about 40 % after accounting for ineligible NPs (i.e., not practicing in primary care) who worked in 163 practices. Their numbers in the practices ranged from 1 to 12 (mean: 1.85 and SD: 1.38).
Data Analysis
We first computed individual NP-level mean scores on the AIP and NP-AR scales for respondents who completed more than 70 % of the scale items,39 then aggregated the scores of all NPs from each practice and computed the practice-level AIP and NP-AR scores and calculated intra-class correlations (ICCs). We created an NP-level TW scale by calculating the scale mean. Descriptive statistics on the scales and on demographic and work variables were computed. We examined the univariate associations between each potential predictor and the outcome variable.
We also performed a generalizability study on the scales to assess the measurement dependability (‘reliability’)40 and measurement errors from various sources. First, variance components from different sources were calculated; then G coefficients (Ep2) and Phi coefficients (Φ), as relative and absolute generalizability coefficients, respectively, were computed.41,42
We used multilevel linear regression models to investigate the influence of NP autonomy and independent practice and the relationship between NPs and leadership on teamwork. The models accounted for the hierarchical structure of the data, where 314 NPs (Level 1) were nested in 163 practices (Level 2). Significant covariates (p < 0.02)43 measuring NP characteristics were entered as Level 1 measures, and practice-level characteristics were included as Level 2 measures. The main predictors were the practice-level AIP and NP-AR scores (Level 2 variables). We also assessed the “model fit” for each model and tested for multicollinearity. We considered p values less than 0.05 to be significant. Data analysis was conducted in SAS Version 9.3 software44 (See online Appendix).
RESULTS
Table 1 describes the sample demographic and work characteristics and their associations with teamwork. The average age of the participants was about 49 years, with the vast majority being female (97.3 %) and white (93.3 %); 47 % of NPs practiced in physician offices. About 46 % of NPs reported that they have their own patient panel to whom they deliver ongoing care. The practice-level ratio of NPs having their own panel indicated that on average, about half of NPs in each practice had their own patient panel. Only NP sex, highest nursing degree, and average number of hours worked per week were associated with teamwork. TW was correlated with AIP and NP-AR.
Table 1.
Level 1: Individual NP-level characteristics | N = 314 | Teamwork scale mean (SD) | Pearson’s correlation with teamwork | p value* |
Demographic | ||||
Age (years) | 0.06 | 0.33 | ||
Mean (SD) | 49.3 (11.1) | |||
Range | 26–71 | |||
Sex N (%) | 0.12* | |||
Female | 291 (97.3) | 3.52 (0.47) | ||
Male | 8 (2.7) | 3.25 (0.42) | ||
Race N (%) | 0.39 | |||
White | 280 (93.3) | 3.51 (0.63) | ||
Non-white | 17 (6.7) | 3.41 (0.47) | ||
Highest nursing degree N (%) | 0.05* | |||
Master’s degree/post-master’s certificate | 279 (92.1) | 3.52 (0.48) | ||
Doctor of nursing practice (DNP) | 6 (2.0) | 3.03 (0.41) | ||
Other | 18 (5.9) | 3.49 (0.42) | ||
Married N (%) | 0.64 | |||
Yes | 210 (73.7) | 3.52 (0.47) | ||
No | 75 (26.3) | 3.49 (0.50) | ||
Work | ||||
Years in current position N (%) | 0.43 | |||
Less than 1 year | 18 (5.9) | 3.40 (0.44) | ||
1–6 years | 114 (37.6) | 3.48 (0.48) | ||
More than 7 years | 171 (56.4) | 3.54 (0.47) | ||
Average hours worked per week N (%) | 0.14* | |||
1–20 h | 23 (7.6) | 3.51 (0.43) | ||
21–40 h | 200 (66.2) | 3.54 (0.46) | ||
More than 40 h | 79 (26.2) | 3.42 (0.51) | ||
Have own patient panel N (%) | 0.38 | |||
Yes | 132 (46.0) | 3.49 (0.52) | ||
No | 155 (54.0) | 3.54 (0.44) | ||
Level 2: Practice-level characteristics | N = 163 | p value* | ||
Main practice site N (%) | 0.34 | |||
Physician’s office | 75 (47.2) | 3.52 (0.44) | ||
Community health center | 34 (21.4) | 3.55 (0.49) | ||
Hospital-based clinic | 31 (19.5) | 3.42 (0.53) | ||
Other | 19 (11.9) | 3.49 (0.49) | ||
Practice Location N (%) | 0.24 | |||
Urban | 75 (46.9) | 3.53 (0.48) | ||
Non-urban | 85 (53.1) | 3.46 (0.50) | ||
Number of NPs in each practice N (%) | 0.47 | |||
1 | 12 (7.5) | 3.41 (0.62) | ||
2–6 | 104 (65.4) | 3.51 (0.48) | ||
7–11 | 22 (13.8) | 3.53 (0.44) | ||
More than 11 | 21 (13.2) | 3.49 (0.46) | ||
Practice-level patient panel ratio | −0.03 | 0.59 | ||
Mean (SD) | 0.49 (0.45) | |||
Range | 0.00–1.00 | |||
Autonomy and independent practice | 0.41 | < 0.0001 | ||
Mean (SD) | 3.56 (0.41) | |||
Range | 2.40–4.00 | |||
NP-administration relations | 0.55 | <0.0001 | ||
Mean (SD) | 2.87 (0.64) | |||
Range | 1.00–4.00 |
*p values are from the univariate analysis. We used t-tests or ANOVAs for categorical variables and Pearson’s correlations for continuous variables. The variables with p values < 0.20 were included in the multilevel regression analysis
Both the relative and absolute generalizability coefficients for all scales were above 0.80 (Table 2), indicating that the measures were dependable45 or reliable40 (see online Appendix). We computed the means and standard deviations for all scale items (Table 2). The items measuring NP autonomy were ranked highly by NPs. NPs did not discuss every patient care detail with physicians, as evidenced by the item’s high mean. The item measuring whether organizations create an environment for NPs to practice independently was ranked lowest compared to other scale items. Compared to AIP items, items on the NP-AR scale had lower mean scores. Administration sharing information with NPs and physicians and treating them in a similar manner were low-ranking items. The mean score on the AIP scale was 2.87 both at the NP and practice levels. Items in the TW scale measuring NPs’ perception of physician support and having colleagues to ask for help were ranked highly. However, the item rating the degree that NPs and physicians practice as a team had the lowest mean score compared to other scale items.
Table 2.
Items | Mean | SD |
---|---|---|
Autonomy and Independent Practice Scale (G Coefficient (Ep2) = 0.84; Phi Coefficient (Φ) = 0.82) | ||
Do not have to discuss every patient care detail with a physician | 3.72 | 0.52 |
Freely apply knowledge and skills to provide patient care | 3.60 | 0.55 |
Organization does not restrict NP abilities to practice within scope of practice | 3.42 | 0.70 |
Provide all patient care within scope of practice | 3.55 | 0.60 |
Organization creates an environment to practice independently | 3.38 | 0.68 |
NP-Level Scale Score (n = 314) | 3.53 | 0.47 |
Practice-Level Scale Score (n = 163) | 3.56 | 0.41 |
NP–Administration Relations Scale (G Coefficient (Ep2) = 0.94; Phi Coefficient (Φ) = 0.92) | ||
Valued by organization | 3.31 | 0.72 |
Regularly get feedback about performance from organization | 2.86 | 0.80 |
Administration: | ||
Open to NP ideas to improve patient care | 3.12 | 0.75 |
Takes NP concerns seriously | 3.02 | 0.82 |
Shares information equally with NPs and physicians | 2.81 | 0.92 |
Treats NPs and physicians equally | 2.39 | 0.84 |
Informs NPs about changes taking place in the organization | 2.92 | 0.83 |
Makes efforts to improve working conditions for NPs | 2.81 | 0.79 |
Constantly communicates with NPs | 2.68 | 0.87 |
NP-Level Scale Score (n = 314) | 2.87 | 0.66 |
Practice-Level Scale Score (n = 163) | 2.87 | 0.64 |
Teamwork Scale (G Coefficient (Ep2) = 0.87; Phi Coefficient (Φ) = 0.85) | ||
Valued by physician colleagues | 3.38 | 0.66 |
Physicians and NPs practice as a team | 3.35 | 0.74 |
NPs and physicians collaborate to provide patient care | 3.47 | 0.63 |
Have colleagues to ask for help | 3.67 | 0.50 |
Physicians support NP patient care decisions | 3.61 | 0.49 |
NP-Level Scale Score (n = 314) | 3.49 | 0.49 |
Practice-Level Scale Score (n = 163) | 3.49 | 0.47 |
Strongly disagree = 1; disagree = 2; agree = 3; and strongly agree = 4
Table 3 demonstrates the results from the multilevel linear regression models. The first model (Model 0), empty model, reflected variation in the intercept only at the individual level (Level 1), and did not include the hierarchical structure of the data. Next, Model 1 was built to include the hierarchical structure; the practices served as the higher level, Level 2. ICCs were calculated based on this model. By comparing the Akaike’s Information Criterion46 between Models 0 and 1, we did not see improvement in Model 1. However, the result of ICC was 0.073, higher than 0.05, which validated the use of multilevel modeling. Then we built two separate models with only AIP and NP-AR as predictors, and a final model with both predictors. This model also included the significant covariates from the univariate analysis (sex, highest nursing degree, and average number of hours worked per week). We analyzed the interaction effect between Level-1 covariates and Level-2 predictors and did not find evidence to include any of them in the models. Models with and without Level-1 covariates as a random effect were also compared. None of them were significant, nor was there improvement in the model by including them. Variance Inflation Factor (VIF) was generated to check for multicollinearity. All VIF values were lower than 5, indicating no multicollinearity concerns. The final model showed that the practice-level AIP and NP-AR had a positive effect on the NP-level teamwork. With every unit increase on the practice-level mean score of AIP centered at the grand mean, the mean TW score increased by 0.271 units (p < 0.001). With every unit increase on NP-AR centered at the grand mean, the mean TW score increased by 0.375 (p < 0.001). Over one-third (41.3 %) of the variance in teamwork could be explained by the final model. None of the control variables was significant.
Table 3.
Models | 0 | 1 | 2 |
---|---|---|---|
Fixed components | |||
Intercept | 3.497 | 3.493 | 3.386 |
Regression Coefficient of AIP (Level-2) | 0.271† | ||
Regression Coefficient of NP-AR (Level-2) | 0.375 * | ||
Variance of random components | |||
Intercept | 0.018 | 0.0001 | |
Residual | 0.249 | 0.231 | 0.146 |
Model statistics | |||
Intra-Class Coefficient | 0.073 | ||
Akaike’s Information Criterion | 440.0 | 440.1 | 276.9 |
Explained Variance | 41.3 % |
AIP Autonomy and Independent Practice, NP-AR NP-Administration Relations. Models including Level-1 covariates as random effects are not in the table. This information is available upon request. Final model, or Model 2, controlled for the effects of sex, education, and high workload, which were significant at p values < 0.20 in bivariate testing. *p < 0.001; †p < 0.0001
DISCUSSION
We investigated NP autonomy and independent practice, the relationships NPs have with leadership, and their influence on teamwork in primary care practices. We found that NPs rate their relationship with physicians favorably. In contrast, many NPs report poor relationships with leadership. Participants perceived communication between NPs and leadership as fragmented and noted disparities in the way administrators shared information with physicians compared to NPs. Our results also demonstrate a significant relationship between NP autonomy and independent practice, NP–leadership relations, and teamwork. They suggest that supporting NP autonomy within primary care practices and improving NP–leadership relationships can positively influence teamwork between NPs and physicians.
Even though a convenience sample of NPs participated in our study, the sample’s demographic characteristics are comparable to those of a national sample.47 For example, the average age of NPs was 49.3 years compared to 48 years in the National Sample Survey of NPs conducted in 2012. Our sample had more white NPs, which might be representative of the population in Massachusetts. We were unable to find information about the demographics of NPs in Massachusetts, as the State Nursing Workforce Center that collects such information was suspended.48 We did not have information about the demographics of non-responders. Massachusetts enacted health reform similar to the Affordable Care Act in 2006,49 and NP practice and care models might also be different. The reform provided about a half million residents with insurance and further strained the system, which was experiencing a shortage of primary care physicians.50 Legislation was passed in 2008 requiring insurers to recognize NPs as PCPs to meet demand.51,52 State-level policies may explain NPs’ high ratings of their autonomy; the AIP mean score was higher than the midpoint of 2.5. Our findings should be interpreted in this context.
More than half of the NPs did not have their own patient panels. Even within the same practice some NPs had their own patient panels, while others did not. We did not ask NPs for an explanation for such arrangements, but these arrangements could be explained by the relationship between NPs and physicians. Studies show that some physicians are more likely than others to routinely work with NPs and promote NPs’ roles, particularly those who are familiar with the NP role and have been practicing longer.53,54 NPs lacking their own patient panels within and across practices may not only limit NPs’ contributions to care, but may also avert patients from the benefits of continuous primary care, which is critical for positive outcomes.55–57 Continuity of primary care, measured as the highest concentration of a patient’s total visits to a single provider, has been shown to significantly reduce preventable hospitalizations.58 Taking advantage of NPs’ advanced skills and allowing NPs to have their own panels within primary care teams in which they can leverage the expertise of other team members when necessary can be a strategy for increasing primary care capacity. Effective deployment of NPs is important especially when future workforce projections indicate a lack of appropriate personnel capable of staffing primary care teams to meet the growing burden of chronic diseases.59 More research is needed in this area.
While some suggest that NP autonomy in primary care teams be restricted, it may lead to an unwanted consequence of poor teamwork. Our results suggest that NP autonomy would not undermine teamwork, but rather, bolster it. In practices where NP autonomy is promoted, NPs may be more engaged in teamwork without feeling their practice is restricted by physicians. On the other hand, restrictions may further confuse the distinct roles and professional practices of NPs and physicians. Leadership can take actions to promote NP autonomy within their organizations, consequently improving teamwork.
We also looked at how the relationship between NPs and leadership creates a context for teamwork. Teamwork between NPs and physicians was negatively impacted by poor relationships between NPs and the leadership who neither view all PCPs similarly, nor provide them with similar access to information and resources. If NPs act in a PCP role, then they need access to similar resources as other PCPs to deliver high quality care. Administrators’ lack of understanding of the NP role could explain this existing disparity. If leadership prevents access to resources for some team members, in this case for NPs, while promoting access for others, it creates an imprint of inequity and gives more value to one role than another, thus affecting the team dynamics and relationships between team members. To date, the administrators’ constraint of NP practice in primary care and its impact on teamwork has been underestimated, and it will be a major problem in the future as NPs are increasingly employed in large group practices.
Future Research
More research is needed to better understand different forms of teamwork taking place in primary care from the perspectives of all PCPs. A more long-term strategy is to determine the appropriate and effective mix of clinicians comprising these teams. Studies should be conducted to determine which forms of teamwork are better for certain patient care processes and outcomes. We need evidence to guide optimal inter-professional team construction, to design interventions for team management, and to identify robust and efficient teamwork forms to address the demand for care and improve outcomes.
Limitations
The study has limitations. We collected data only in one state. NPs practicing in other states may have different experiences, which should be studied. State-level regulations determining the legal nature of the relationship between NPs and physicians may affect NPs’ perception of teamwork. This study relied on self-reports of NPs. Non-response is an issue even though the response rate we achieved is comparable to that in other nurse surveys.60 Studies of nurse-reported measures obtained through surveys found no significant differences between responders and non-responders.61,62 Another limitation is that physicians were not surveyed to understand teamwork from their perspectives, which might be different from those of NPs. This restricts our understanding of teamwork. Future work should focus on their perspectives. Finally, we did not collect any information about how many other PCPs worked in practices. NPs from smaller practices might respond differently to our survey than NPs from larger practices.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Acknowledgements
We thank Massachusetts Health Quality Partners for the data sharing. Funding: Agency for Healthcare Research and Quality [R03 HS020999]; Robert Wood Johnson Foundation.
Compliance with Ethical Standards
Conflict of Interest
The authors declare that they do not have a conflict of interest.
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