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Open Access Highly Accessed Research article

Diffusion of a collaborative care model in primary care: a longitudinal qualitative study

Isabelle Vedel1*, Veronique Ghadi2, Matthieu De Stampa2, Christelle Routelous3, Howard Bergman4, Joel Ankri2 and Liette Lapointe5

Author affiliations

1 Solidage, McGill University - Université de Montréal Research Group on Frailty and Aging - Lady Davis Institute, Jewish General Hospital, H466, 3755, Ch. Côte Ste Catherine, Montreal, Québec H3T 1E2, Canada

2 Santé Vieillissement research group, Versailles St Quentin University, 49 rue Mirabeau, Paris, 75016, France

3 Management Institute, Ecole des Hautes Etudes en Santé Publique, Avenue du Professeur Léon-Bernard - CS 74312, Rennes cedex, 35043, France

4 Department of Family Medicine, McGill University, 515-517 av. des Pins Ouest, Montreal, Quebec, H2W 1S4, Canada

5 Desautels Faculty of Management, McGill University, 1001 Sherbrooke St. West, Montreal, Quebec, H3A 1G5, Canada

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Citation and License

BMC Family Practice 2013, 14:3  doi:10.1186/1471-2296-14-3

The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1471-2296/14/3


Received:17 August 2012
Accepted:21 December 2012
Published:4 January 2013

© 2013 Vedel et al.; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Background

Although collaborative team models (CTM) improve care processes and health outcomes, their diffusion poses challenges related to difficulties in securing their adoption by primary care clinicians (PCPs). The objectives of this study are to understand: (1) how the perceived characteristics of a CTM influenced clinicians' decision to adopt -or not- the model; and (2) the model's diffusion process.

Methods

We conducted a longitudinal case study based on the Diffusion of Innovations Theory. First, diffusion curves were developed for all 175 PCPs and 59 nurses practicing in one borough of Paris. Second, semi-structured interviews were conducted with a representative sample of 40 PCPs and 15 nurses to better understand the implementation dynamics.

Results

Diffusion curves showed that 3.5 years after the start of the implementation, 100% of nurses and over 80% of PCPs had adopted the CTM. The dynamics of the CTM's diffusion were different between the PCPs and the nurses. The slopes of the two curves are also distinctly different. Among the nurses, the critical mass of adopters was attained faster, since they adopted the CTM earlier and more quickly than the PCPs. Results of the semi-structured interviews showed that these differences in diffusion dynamics were mostly founded in differences between the PCPs' and the nurses' perceptions of the CTM's compatibility with norms, values and practices and its relative advantage (impact on patient management and work practices). Opinion leaders played a key role in the diffusion of the CTM among PCPs.

Conclusion

CTM diffusion is a social phenomenon that requires a major commitment by clinicians and a willingness to take risks; the role of opinion leaders is key. Paying attention to the notion of a critical mass of adopters is essential to developing implementation strategies that will accelerate the adoption process by clinicians.

Keywords:
Primary care; Primary care physician; Nurses; Chronic disease; Collaboration; Health service research; Diffusion of innovation

Background

In primary care, many patients have multiple, interacting, and compounding physical, psychological, and social problems [1,2]. In order to meet these multiple needs at an affordable cost for society [3,4], collaborative team models (CTMs) in primary care such as Patient-Centered Medical Home [5,6], Family Health Teams and Family Medicine Groups [7] are increasingly viewed as essential in order to improve the care of patients with chronic diseases.

Although CTMs may improve care processes and health outcomes [5,8-12], implementation of CTMs remains a challenge [7,13-16], particularly in terms of achieving adoption by clinicians and, more specifically, by primary care physicians (PCPs) [12,14,17-19]. If the implementation of CTMs is to be effective and induce the changes required in the care of patients with chronic diseases, a sufficient number of professionals need to adopt them [14,17]. However, the implementation of new forms of professional relationships and collaboration has rarely been addressed, either theoretically or empirically [20]. Thus, despite the worldwide proliferation of CTMs that are being developed and implemented at enormous cost and effort, there is still considerable uncertainty surrounding whether or not and under what conditions health professionals will adopt them. It is therefore important to develop a better understanding of CTM adoption factors and the model’s diffusion process. According to the Diffusion of Innovations Theory [21], diffusion is the process by which an innovation is communicated over time through certain channels to the members of a social system. The success of an implementation is assured if a certain critical mass of individuals adopts the innovation (20%-40% of adopters). Beyond this threshold, the diffusion process acquires a momentum of its own. However, all individuals do not adopt an innovation at the same speed depending on their perception of five characteristics of the innovation [21]: relative advantage, compatibility, simplicity, trialability, and observability (Table 1).

Table 1. Perceived characteristics of innovations and their definitions (according to Rogers, 2003)

According to the Diffusion of Innovations Theory, early adopters adopt the innovation very quickly. Then the number of individuals adopting the innovation grows as it is adopted by early majority and late majority adopters. Finally, a small number of individuals called laggards will resist to the innovation (Figure 1).

thumbnailFigure 1. Diffusion of Innovations Theory: normally distributed curve dividing a given population into four adopter categories (adapted from Rogers 2003).

Using the Diffusion of Innovations Theory, the objectives of this study were: (1) to analyze how the perceived characteristics of a CTM influenced PCPs’ and nurses’ decision to adopt –or not– the model; and (2) determine the model’s diffusion process.

Methods

Study design

A longitudinal case study [22,23] was conducted from September 2006 (the start of the CTM’s implementation) to May 2010 (the end of the study) in a borough of Paris (154,000 inhabitants) where a CTM [24] was being implemented (Table 2).

Table 2. Description of the Collaborative Team Model – COPA[24]

Phase I: The diffusion of the CTM among the 175 PCPs and 59 nurses practicing in the borough

First, we began by plotting diffusion curves representing the diffusion of the CTM among all of the PCPs and nurses practicing in the borough. The dates of each PCP’s and nurse’s formal agreement to adopt the CTM were determined based on information gathered from a central activity database aimed at monitoring the implementation of the CTM (Table 2). These adoption dates were also used to calculate the cumulative number of PCPs and nurses adopting the CTM each month. These data allowed us to plot curves [21] representing the diffusion of the CTM among all of the 175 PCPs and 59 nurses practicing in the borough (Figure 2). Using these curves, it was possible to assign each PCP and nurse to one of the four adopter categories (early adopters, early majority, late majority, laggards).

thumbnailFigure 2. Curves of diffusion of the Collaborative Team Model among Primary Care Physicians and Nurses. Legend: PCP: Primary Care Physicians (n=175); N: Nurses (n=59). Note: Inflection point on the curve for nurses (*) and for PCPs (**).

Phase II: Case study

Second, semi-structured interviews were conducted among a representative sample of the four adopter categories to better understand the implementation dynamics. In each of these categories (see Phase I), some PCPs and nurses were selected using a maximum variation sampling strategy (based on gender, age, type of practice) [25] in order to identify the range of views of all four adopter categories. Fifty-seven clinicians were contacted for interviews. Only two PCPs refused to participate; their characteristics were not different from those of the participants. A total of 55 interviews were conducted: 40 with PCPs and 15 with nurses (Table 3). Three researchers trained in qualitative research conducted 45-minute, individual face-to-face interviews at the PCPs’ and nurses’ offices using the same semi-structured interview guide (see Additional file 1). Questions were first developed based on our review of extant literature. They were then validated and refined using three pilot interviews with experts from different domains: public health, family medicine and geriatrics. All the individual interviews were recorded and transcribed verbatim.

Additional file 1. Appendix. Interview Guide.

Format: PDF Size: 22KB Download file

This file can be viewed with: Adobe Acrobat ReaderOpen Data

Table 3. Characteristics of the sample of Primary Care Physicians and Nurses

In addition, to support and enhance our understanding of the phenomenon under study, we triangulated our data sources [22,25]. Thus, two researchers spent several days at various community-based health services and attended administrative and multidisciplinary meetings to observe and record key information such as information exchange (e.g. healthcare professionals’ discussions about the CTM) and representative practices (e.g. the use of care plans). The researchers made detailed field notes. Also, documents describing the aims and means of the CTM (minutes, memos) and the healthcare professionals’ participation (activity reports and databases) were coded and analyzed.

We used N’Vivo 8 to code and analyze data using standardized methods of qualitative thematic analysis [25]. First, the analysis began deductively, using the concepts formulated in the Diffusion of Innovations Theory [21]. This was followed by a thematic inductive analysis [25], in which the researchers remained open to new concepts; we used new categories and codes that emerged as important to developing a better understanding of the diffusion process (e.g. characteristics of the opinion leaders and their actions). The data analysis followed an iterative procedure until theoretical saturation [26]. While interviews were our main source of evidence, the data gathered from observation and documentation were also used in order to corroborate, validate and complement the information from the interviews.

Ethical approval

The study protocol was approved by the Medical Ethics Committee of the Ambroise Paré Hospital (Versailles St. Quentin University).

Results

Diffusion curves

The data gathered in Phase I were used to plot curves describing the CTM diffusion among all the 175 PCPs and 59 nurses practicing in the borough. As seen in Figure 2, 3.5 years after the start of the implementation, 100% of nurses and over 80% of PCPs had adopted the CTM. The slopes of the two curves are also distinctly different. Overall, the nurses adopted the CTM earlier (earlier takeoff point on the curve) and faster (higher slope on the curve) than the PCPs. The nurses thus attained a critical mass faster (inflexion point of the curve = approximately 20%) compared to PCPs (approximately 40%).

Perceptions of the model’s characteristics

The analysis of the interviews helped explain the commonalities and differences in the perceptions of the CTM’s characteristics between PCPs and nurses.

Common perceptions among PCPs and nurses

Our results indicate that PCPs and nurses shared common perceptions regarding the CTM’s observability, trialability and simplicity (Tables 4 and 5). Overall, the more positive these perceptions were, the earlier the PCPs and nurses adopted the CTM. In terms of observability, all the PCPs and nurses had discussed the CTM with other clinicians, which had influenced their opinion. The early adopters and the early majority had discussed it with colleagues who had positive opinions of the CTM. In contrast, the late majority and laggards had discussed it with colleagues who were not convinced of the value of the CTM and who spoke of the implementation of CTMs in negative terms. For trialability, the early adopters and the early majority had positive experiences when they tried the CTM with an initial patient. In contrast, the late majority and laggards had poorer first experiences, and decided to postpone adoption. The early adopters and early majority perceived the CTM as simple. In contrast, the late majority and laggards generally had difficulties with the CTM, and found it tedious to change their practices due to ingrained habits.

Table 4. Primary Care Physicians’ and Nurses’ perceptions of the Collaborative Team Model

Table 5. Selected quotes: Primary Care Physicians’ and Nurses’ perceptions about the Collaborative Team Model

Different perceptions among PCPs and nurses

The differences in the diffusion curves between PCPs and nurses appear to be linked to different perceptions of the CTM’s compatibility and relative advantage (Tables 4 and 5).

Clinicians formed opinions on the compatibility of the CTM based on their own norms, values and practice and the roles that they wanted to play in the management of patient care. Even if, overall, the early adopters and early majority had positive views of the CTM’s compatibility with their own practices, the PCPs expressed more caution, especially regarding their role in the multidisciplinary team. In the late majority and laggard categories, PCPs had major concerns about their relationship with the case managers. They also had concerns about continuity of care, the sharing of information, their collaboration with specialists and the risk of decreased professional autonomy.

In terms of impact on patient management and practices, the nurses perceived a greater relative advantage to the CTM than the PCPs since they no longer found themselves dealing with complex situations alone. They were very pleased to see an opportunity for a non-hierarchical relationship with the PCPs, and were looking forward to collaborating closely with the PCPs. They also felt that communication with the geriatricians could facilitate their relationship with the PCP, especially when there was a disagreement on how to manage a patient.

Dynamics of the diffusion process

The data gathered in the interviews allowed us to better understand how the CTM diffused among nurses and PCPs. It also revealed the importance of the concept of critical mass in this diffusion process. Indeed, the nurses very quickly attained a critical mass and the CTM was therefore systematically and quickly diffused. In contrast, much more time was required before a critical mass could be obtained among the PCPs (Figure 2). The interviews were particularly revealing, showing that the PCPs’ perceptions of the CTM’s features were not positive enough for them to immediately adopt it. Here, the roles of opinion leader or champion became critical (Table 6). The opinion leaders identified in this case were true innovators, and early in the implementation process, they were able to exercise influence over some PCPs and convince them to adopt the CTM. These PCPs became in turn early adopters. Throughout the implementation process, the innovators and the early adopters were able to convince the more resistant PCPs (late majority). The CTM was thus diffused in a slow snowball effect for PCPs.

Table 6. Dynamics of the diffusion process among Primary Care Physicians and Nurses

Discussion

This study reported on the dynamic process by which a CTM was diffused among PCPs and nurses. The results highlighted the fact that adoption of a CTM by PCPs and nurses is a complex process and improved our understanding of the factors explaining adoption, or lack thereof, of a CTM. Indeed, we found that the PCPs adopted the CTM later and more slowly than the nurses. We identified the two key characteristics of the CTM explaining these differences in adoption dynamics between the two professional groups: (1) its relative advantage in terms of expected benefits for clinicians and patient care; and (2) its compatibility with the idiosyncrasies of primary care.

It is well known that CTMs are a potential response to the difficulties experienced by PCPs in caring for patients with multiple chronic diseases and may improve many care processes and health outcomes [9,10,27,28]. However, their adoption remains challenging. In principle, PCPs do favor greater participation of nurses in primary care delivery [29]. However, PCPs often resist CTM implementations as they have concerns about the threat to continuity of care and to their role as manager of their patients’ path through the health system [30,31]. Our results suggest that nurses adopt these models more quickly because they perceive a greater potential to improve quality of care and efficiency of practices and, at the same time, enhance their status and professional autonomy, which are key cultural values for nurses [32,33]. While there is evidence of a broad consensus about the importance of high-quality and efficient healthcare [34], the perceptions of how this can be achieved with the adoption of CTMs vary between PCPs and nurses.

This empirical study has advanced our understanding of the adoption and diffusion of CTMs in healthcare as a social phenomenon. Our results suggest that implementation of a CTM requires obtaining the collaboration of opinion leaders in order to obtain the commitment of PCPs. Given their critical role in the implementation of complex interventions, there is a growing interest in opinion leaders in the literature [35-40]. However, how to identify opinion leaders remains a challenge [40], and the process by which opinion leaders exert a positive influence has not yet been identified [41]. The results of this study provide some insight into the identity and role of opinion leaders. As in other study results [42], our results show that opinion leaders need to belong to the same professional group. In addition, we found that opinion leaders who had a similar type of practice and who had tested the CTM were particularly influential. Overall, our results suggest that opinion leaders are key at the beginning of a CTM’s implementation among PCPs. They speed up adoption by their colleague PCPs; in turn, these early adopters influence the adoption of the intervention by other PCPs, who represent the early and late majority. Through this dynamic process, a critical mass is reached and the intervention attains the point where diffusion becomes self-sustaining.

This study’s focus on one single region limits its generalizability. However, when considering different settings, the factors influencing diffusion may be more likely to vary in degree than in nature. In order to obtain a more complete view of the adoption of CTMs, it would be useful for future studies to include all professionals, e.g. specialists and social workers, and to have parallel studies conducted with patients. However, given the essential role of the nurse-PCP team, our results still provide critical information regarding the adoption of CTMs.

Notwithstanding its limitations, the strength of this study lies in the fact that it: (1) is longitudinal; (2) has a strong theoretical foundation and describes precisely how it was used [43]; (3) was conducted in a large geographical region; (4) uses two complementary sets of data: first the diffusion curves, which show different rates of adoption for PCPs and nurses, and second the qualitative study data, which deepen our understanding of the overall implementation process; and (5) includes diffusion data that clearly identify the actual date of adoption of the innovation – a rare occurrence [21].

This study also has practical implications. In order to successfully implement a new model of care, clinicians must be committed and be willing to take risks [44]. Fostering such commitment among clinicians requires complex and targeted strategies. In this perspective, inter-professional education is essential [45]. Moreover, there is a need to develop targeted strategies for CTM implementation. Early on, implementers need to identify opinion leaders among PCPs, people who have a positive attitude toward the CTM and will play an active leadership role in its planning and operationalization [27]. In addition, as clinicians act on the basis of “one trial = a definitive opinion about the CTM,” providing a “trialability space” and making the benefits of the CTM more visible may foster adoption [40]. Finally, since interventions fail when an insufficient number of clinicians adopt it [46], the concept of a critical mass of adopters may prove useful when developing and monitoring implementation strategies designed to accelerate the adoption process and maximize the benefits of CTMs.

Conclusion

There are challenges in the actual implementation of CTMs, especially in terms of ensuring adoption by health professionals and, in particular, PCPs. Our results suggest that the diffusion of CTMs is influenced by two perceived key characteristics: (1) the CTM’s relative advantage in terms of expected benefits for clinicians and patient care; and (2) the CTM’s compatibility with the idiosyncrasies of primary care.

CTM diffusion is thus a social phenomenon, which requires a major commitment by clinicians; the role of opinion leaders is paramount. Paying attention to the notion of a critical mass of adopters is essential to developing implementation strategies that will accelerate the process by which health professionals adopt CTMs.

Abbreviations

CTM: Collaborative team model; CTMs: Collaborative team models; PCPs: Primary care physicians; Nurse-PCP team: Nurse-Primary care physician team.

Competing interests

All authors declare that they have no competing interest.

Authors’ contributions

IV: concept and design, data acquisition and analysis, drafting of the manuscript, and revision of the manuscript. VG: data acquisition and analysis, and revision of the manuscript. MDS: data acquisition, study coordination and revision of the manuscript. CR: data acquisition and analysis, and revision of the manuscript. HB: concept and design, and revision of the manuscript. JA: concept and design, and revision of the manuscript. LL: concept and design, data acquisition and analysis, drafting of the manuscript, and revision of the manuscript. All authors read and approved the final manuscript.

Funding statement

This study received financial support from the Canadian Institutes of Health Research (CIHR), the Haute Autorité en Santé - Caisse Nationale de Soldarité Autonomie (France) and the Dr. Joseph Kaufmann, Chair in Geriatric Medicine, McGill University. The sponsors played no role in the study design; the collection, analysis and interpretation of data; the writing of the manuscript; and the decision to submit the manuscript for publication.

Acknowledgments

We would like to thank all the physicians and nurses who shared their experiences and opinions for this study.

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Pre-publication history

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http://www.biomedcentral.com/1471-2296/14/3/prepub