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Interprofessional team member’s satisfaction: a mixed methods study of a Chilean hospital



The health organizations of today are highly complex and specialized. Given this scenario, there is a need for health professionals to work collaboratively within interprofessional work teams to ensure quality and safe care. To strengthen interprofessional teamwork, it is imperative that health organizations enhance strategic human resources management by promoting team member satisfaction.


To analyze the satisfaction of members in interprofessional teams and to explore interpersonal relationships, leadership, and team climate in a hospital context.


This study is an explanatory sequential mixed methods (quantitative/qualitative) study of 53 teams (409 professionals) at a university hospital in Santiago, Chile. The first phase involved quantitative surveys with team members examining team satisfaction, transformational leadership, and team climate. Social network analysis was used to identify interactions among team members (cohesion and centrality). The second phase involved interviews with 15 professionals belonging to teams with the highest and lowest team satisfaction scores. Findings of both phases were integrated.


Significant associations were found among variables, and the linear regression model showed that team climate (β = 0.26) was a better predictor of team satisfaction than team leadership (β = 0.17). Registered nurse was perceived as the profession with the highest score on the transformational leadership measure (mean = 64), followed by the physician (mean = 33). Team networks with the highest and lowest score of team satisfaction showed differences in cohesion and centrality measures. Analysis of interviews identified five themes: attributes of interprofessional work; collaboration, communication, and social interaction; interprofessional team innovation; shared leadership; and interpersonal relationship interface work/social. Integration of findings revealed that team member satisfaction requires participation and communication, common goals and commitment for patient-centered care, clear roles and objectives to support collaborative work, and the presence of a transformational leader to strengthen well-being, dialog, and innovation.


Results have the potential to contribute to the planning and decision-making in the field of human resources, providing elements to promote the management of health teams and support team member satisfaction. In turn, this could lead to job permanence especially where the local health needs are more urgent.



Las organizaciones de salud son altamente complejas y especializadas. En este escenario es necesario que los profesionales de salud trabajen colaborativamente en equipos de trabajo interprofesionales, asegurando un cuidado de calidad y seguro. Para fortalecer el trabajo en equipo interprofesional, es imperativo mejorar la gestión estratégica de recursos humanos en organizaciones de salud, promoviendo la satisfacción de sus miembros.


Analizar la satisfacción de los miembros de equipos interprofesionales, explorando sus relaciones interpersonales, liderazgo y clima de equipo en un contexto hospitalario.


Estudio de métodos mixtos secuencial explicatorio (cuantitativo-cualitativo) en 53 equipos (409 profesionales) de un hospital universitario en Santiago, Chile. Primera fase incluyó encuestas a los miembros de equipos para examinar satisfacción con el equipo, liderazgo transformacional y clima. Utilizando análisis de redes sociales para identificar interacciones entre sus miembros (densidad y cohesión). Segunda fase incorpora 15 entrevistas a profesionales de equipos con los puntaje más altos y bajos de satisfacción. Integración de los resultados de ambas fases.


Asociaciones significativas entre las variables y un modelo de regresión lineal que reveló que el clima de equipo (β = 0.26) es un mejor predictor de la satisfacción con el equipo, que el liderazgo transformacional (β = 0.17). Enfermería fue el profesional con el más alto puntaje en liderazgo transformacional (media = 64), seguido por el medico (media = 33). Las redes sociales de los equipos con puntajes extremos de satisfacción mostraron diferencias en cohesión y centralidad. El análisis de las entrevistas entrego cinco temas: atributos del trabajo interprofesional; colaboración, comunicación e interacción social; innovación en equipo interprofesional; liderazgo compartido; interface entre relaciones interpersonales de trabajo y social. Integración de los resultados reveló que la satisfacción requiere participación y comunicación, metas comunes y compromiso con un cuidado centrado en el paciente, claridad de roles y responsabilidades para trabajar colaborativamente y la presencia de liderazgo transformacional para fortalecer el bienestar, diálogo e innovación.


Los resultados tienen el potencial de contribuir a la planificación y toma de decisiones en el área de recursos humanos en salud con elementos que promuevan la administración de equipos de salud apoyando la satisfacción de sus miembros. Pudiendo llevar a permanencia laboral especialmente donde las necesidades locales de salud son más urgentes.

Peer Review reports


Today’s health organizations are highly complex and specialized. The knowledge and skills necessary to effectively and efficiently meet the goals of the health organization are changing constantly, and are also associated with greater expectations and demands from patients. Given this situation, it is essential that health professionals collaborate within interprofessional work teams, to improve performance and enhance the quality and safety of care [1, 2].

The World Health Organization (WHO) through the Global Strategy for Human Resources for Health (HRH) 2030 calls on countries to “adopt a different paradigm in the management of health personnel and assume obligations for the optimization of their performance, through evidence-based policies and practices that promote collaborative interprofessional teamwork, job opportunities and ongoing training, innovation and the use of scientific evidence” [3].

In health care settings, work is characterized by its variability and complexity. Within this context, there is a need for interprofessional teams with the skills and knowledge necessary to respond to the changing environment and complex needs of patients [4]. Effective teamwork can optimize patient care and promote the job satisfaction and retention of its members [5]. Successful clinical outcomes have been associated with team members’ interpersonal relationships, communication, and cooperation. This is turn, can result in the creation of a stimulating work environment [6, 7].

Job satisfaction is relevant not only in terms of the well-being of people, but in relation to work productivity and quality [8]. Job satisfaction has also been associated with interprofessional collaboration, communication, and professional commitment [4, 5, 9]. Specifically, team satisfaction is the members’ attitudes towards the team. It is the extent to which team members have a positive and pleasant feeling that encourages them to work in the same team again [10, 11]. Team satisfaction is reflected in shared decision-making, [11] effective team functioning, [12, 13], and team stability [14]. On the other hand, dissatisfaction is a predictor of absenteeism, job change, and abandonment [15] and may result in poor work processes, inconsistent patient care, and difficulty with interpersonal interactions [11].

An important predictor of satisfaction within the team is team climate. Team climate is defined as the shared perceptions of the permanent or semi-permanent working group to which members are assigned [16]. A team is a working group, identified by its members, that interacts regularly to carry out their work [16, 17]. A positive perception of team climate has been found to increase team and patient satisfaction and decrease work-related stress [18]. West and Farr [19] proposed a model to explain team climate which includes four dimensions: shared goals and vision, participative safety, support for innovation, and task orientation.

Team member satisfaction is also enhanced by the presence of transformational leaders. Transformational leaders are leaders that emphasize interpersonal relationships, increase team member’s effectiveness [20,21,22], influence the beliefs and attitudes of their followers, and align members towards organizational success [21, 23]. In health care organizations, transformational leaders are recognized for their ability to facilitate change, increase job commitment and satisfaction, and improve patient outcomes [24,25,26,27]. The four dimensions of transformational leadership include motivation, individualization, idealized influence (or charisma), and intellectual stimulation [20].

To understand teamwork structure/processes like team climate and leadership, it is necessary to explore social networks. The social networks of a team describe the team’s patterns of communication, their professional associations, and relevance within the team [28, 29]. Teams need to share information to complete tasks and to develop a network of communication and social influences [30, 31]. Social network analysis (SNA) establishes that relationships are conditioned by the position occupied within the social structure and can be explained by analyzing the patterns of distribution of these positions and the networks that are formed [32].

The Chilean health system consists of public and private components and a competitive labor market between them. Both components need qualified health personnel to provide quality and safe care. Chilean Human Resources for Health (HRH) policies focus on professional gaps in the public sector specifically [33]. The Chilean Ministry of Health has worked to improve working conditions to attract and retain health care professionals. While there are a few Chilean studies regarding job satisfaction at the individual level [9, 34], none have focused on satisfaction among the interprofessional team as the unit of study.

The purpose of this study was to examine social exchanges, team climate, and transformational leadership as predictors of team member satisfaction in a hospital setting. We hope to inform what is known about hospital turnover and collaboration within interprofessional health teams. The long-term goal is to inform the HRH policies in order to increase professional satisfaction in teams, and improve access to public health services in Chile.


Research design

The study used mixed methods, sequential/explanatory design conducted in two phases [35, 36]. The findings of the quantitative and qualitative components were integrated to form meta-inferences and conclusions.

Study site and sample selection

The setting was a 700-bed university hospital in Santiago, Chile, serving patients with private and/or public health insurance. The hospital has both high- and low-complexity units, and 1600 healthcare providers [e.g., 20% physicians, 31% register nurses, 3% nutritionists, 4% midwives, 4% physical therapists, and 38% nursing technicians] providing direct patient care. Interprofessional teams were the unit of analysis for the study. The participants were healthcare providers that had worked with the same team for a minimum of 6 months and shared patient care responsibilities. Students, administrative, and support staff were excluded from the study.

Population and sample

Using intentional sampling, the investigator recruited 409 team members grouped in 53 interprofessional teams. An interprofessional team was defined as the group to which professionals were assigned and in which they identified and interacted with, at least three times a week. An interprofessional team needed to include individuals from a minimum of two professions who worked together (e.g., sharing patients and a team leader) for at least 6 months. Beginning with nursing, register nurse and nurse technicians were asked to identify the teams they worked with. The researcher then asked the other professional groups (physician, nutritionist, midwives, physician therapist) if they identified themselves as being part of a team. If they agreed, they were then asked to identify their team. If they worked in multiple teams, they were instructed to choose their primary team.

Phase I, stage 1

Phase I involved a descriptive correlational design to examine the relationships among team member satisfaction, team climate, and transformational leadership. Control variables included age, gender, profession or activity, time working for the hospital, their current team, and the number of team members. Data were collected between October 2015 and May 2016. Professionals completed the study instruments individually at a private setting within the hospital, and data were stored in a secure location. For the purpose of analysis, individual responses were grouped based on the interprofessional team with which they self-identified. Responses with greater than 20% missing data were excluded from analysis.

Study instruments

Team member satisfaction was measured using the instrument adapted by Gladstein [10] and validated in Spanish [11]. A previous study reported a Cronbach’s alpha of 0.80 [11]. The scale is a 5-item scale, using a Likert-type response from 1 (completely disagree) to 7 (completely agree) for each item. The questions assessed the extent to which the members of the team expressed satisfaction with colleagues (item 1), team processes (items 3 and 5), and results obtained (items 2 and 4). Higher scores indicated greater team member satisfaction. Cronbach’s alpha for this study was 0.94.

Team climate was measured using the Team Climate Inventory [16] a 14-item measure [37] validated in Spanish [38]. Previous studies reported a Cronbach’s alpha of 0.91. The measure uses Likert-type responses from 1 (completely disagree) to 5 (completely agree). Higher scores indicated a better or more desirable team climate. Cronbach’s alpha for this study was 0.93.

Transformational leadership was measured using the Multifactor Leadership Questionnaire [20] validated in Spanish [39]. A previous study reported a Cronbach’s alpha of 0.90. The 20-item scale uses Likert-type responses from 0 (completely disagree) to 4 (completely agree). Higher scores indicate greater perception of transformational leadership behavior. Cronbach’s alpha for the current study was 0.96. In addition, each participant was provided with the definition of a transformational leader and asked about the team member they perceived to be a transformational leader.

Data analysis

Quantitative data was entered into SPSS, version 22. Descriptive statistics were calculated including percentages, frequencies, and counts. Linear regression analysis was also conducted. The significance level was set at 0.05 for all statistical tests.

Phase I, stage 2

This stage involved social network analysis to identify interactions between team members from the interprofessional teams that reported the highest and lowest team satisfaction scores. Two previously used questions [32] were adapted and explored professional relationships within the team. The questions referred to work advice and personal support. The work advice question was (1) “Who do you go to when you have any need, difficulty or problem at work?” The personal support question was (2) “Who do you go to when you have a personal problem?” The answers to these questions allowed the researchers to calculate several measures including (1) density of the whole network (team) represented by the number of interactions (represents by loops) between professionals (represented by nodes) of the all possible connections (from 0 to 100%); (2) isolates, defined as the professionals that are separated or segregated from the rest of the team members; (3) centrality, defined as the profession that the majority of the team seek advice/support from (range 0 to 100%); and (4) subgroups of members connected between themselves within the team [32]. The graphical representation of the network (Figs. 123, and 4) included the profession (node) and a label indicating professional role, age, gender and time with the team. The color of the label indicates the profession whom each member sought work advice or personal support from (e.g., a red label on a node of the profession indicates that members sought advice from a physician).

Fig. 1
figure 1

Interprofessional team with the highest team satisfaction: network for work advice

Fig. 2
figure 2

Interprofessional team with the lowest team satisfaction: network for work advice

Fig. 3
figure 3

Interprofessional team with the highest team satisfaction: network for personal support/advice

Fig. 4
figure 4

Interprofessional team with the lowest team satisfaction: network for personal support/advice

Data analysis

Sociometric network analysis was applied using standard procedures with UCINET-6 software for Windows.

Phase II

Phase II involved semi-structured interviews to understand team satisfaction related to coordination of clinical work, patterns of interpersonal relations, and communication among professionals [40]. Interviews were conducted with team members who reported either high or low satisfaction scores. The semi-structured interview guide was based on the theoretical references underlying the variables of interest.

Data analysis

Thematic content analysis was used to develop inferences about the topics of the study [40]. An inductive and deductive approach was used to examine the interviews for words, concepts, and themes. This approach allowed for identification, indexing, and retrieval of relevant content [40]. NVivo software was used for the analysis and the rigor control followed criteria outlined by Guba [40].

Phase III

Phase III involved integration of the results from phases I and II, using an interactive process in which the results of both stages were analyzed within the framework of the theoretical references. The quantitative results were interpreted and explained using the qualitative results. Finally, the research team reviewed and agreed upon the summary for each category [41, 42].

Ethical, consent, and permissions

The Ethical and Scientific Committee of the participating institution (Faculty of Medicine, Pontifical Catholic University of Chile—protocol #15-059) approved the project. Written and verbal informed consent were obtained from participants before each stage of data collection.


Results from phase I, stage 1

A total of 409 health professionals grouped in 53 interprofessional teams were identified (Table 1).

Table 1 Team member’s characteristics and role within the interprofessional team

Register nurses and nurse technicians were found in 100% of the interprofessional teams, and 83.9% (n = 343) of the team members were women. Physical therapist, midwives and nutritionists comprised less than 10% of the professionals on teams. The majority of the team members (70%) were younger than 38 years of age. Health professionals reported that the length of time working in the hospital ranged from 6 to 504 months and the time working with the team varied from 6 to 240 months. Variables were normally distributed; therefore, parametric tests were used for all subsequent analysis (Table 2).

Table 2 Interprofessional team member satisfaction, team climate, and transformational leadership

Mean satisfaction of the study participants was 22.7 (SD = 3.04, range 11.5–28.0). Teams that reported higher and lower satisfaction scores varied on variables, including composition and length of time working together. The team with maximum satisfaction worked as specialty consultants, included six members [physicians (3) and register nurses (3)], and reported working together for over 60 months. In turn, the least satisfied team worked on a high-complexity unit and had 12 members [midwives (4), register nurses (3), nurse technicians (4), and physician (1)]. This team worked together for 13 months, except for the physician with 96 months. This team also had the lowest team climate and transformational leadership scores. Participants had a mean score of 54 (SD = 5.62) on the team climate measure. The team with the highest team climate score worked in an oncology unit and had four members [register nurse (1), nurse technicians (2), and physician (1)]. Their average time working together was 13 months.

At the individual level, the register nurse had the highest transformational leadership score (mean score = 64), followed by the physician (mean score = 33). At the team level, the mean score of the transformational leadership measure was 65.6 (SD = 7.1). The team with the highest score worked on a medical-surgical unit with 5 members [register nurses (2), nurse technicians (2), and nutritionist (1)] and worked together for 33 months.

Transformational leadership and team climate were entered into a linear regression model, and both were found to be predictors of team member satisfaction. The overall model was significant (F = 29.12, p < 0.005), and the adjusted R2 was 0.75 (Table 3).

Table 3 Logistic regression predicting interprofessional team member satisfaction

The model explained 75% of the variance in the outcome variable of team member satisfaction. Each unit increase in transformational leadership score and team climate score resulted in 0.17 (95% CI, 0.077 to 0.259) and 0.26 (95% CI, 0.146 to 0.372) unit increase in team satisfaction scores, respectively (Table 3). With regard to demographic characteristics, only time on the team had a significant association with team satisfaction.

Results from phase I, stage 2

Social network analysis comparing the network for work advice and personal support between the most and the least satisfied interprofessional teams revealed that the work advice network of the team with the highest satisfaction (Fig. 1), formed a close and highly cohesive network (100%) with all its members [register nurses (3) and physicians (3)] directly connected to each other (100%). This team received work advice from a physician. The least satisfied team [midwives (4), register nurses (3), nurse technicians (4), and physician (1)] represented a fragmented network for work advice (Fig. 2). This team showed a density of only 25%, having one subgroup, two pairs, and two isolated (not connected to another team member) members. The biggest subgroup had six members seeking advice from a register nurse, two members looking to the physician for advice, and two seeking advice from a midwife. Two nurse technician appear isolated from the team. The subgroup who sought advice from register nurse had the highest centrality (36%).

The social support of the team with the highest satisfaction (Fig. 3) showed minor density/cohesion (40%) divided between two subgroups. The first subgroup was connected around the register nurse and included two register nurse and one physician. The second subgroup included three physicians seeking advice from a physician. These two subgroups shared centrality of the network by 50% each. The social support network of the least satisfied team (Fig. 4) had a density of just 9%. There was one small subgroup of three register nurses, who sought support from themselves and centralized 18% of all interactions.

Results from phase II

Fifteen interviews were conducted with professionals belonging to four interprofessional teams with the highest and lowest team satisfaction scores. The health professions who participated in the interviews included three physicians, five nurse technicians, two nutritionists, two physical therapists, and three register nurses. Using content analysis, the research team noted 16 categories represented by narrative codes, which generated six themes (Table 4).

Table 4 Characteristics of interprofessional team work that foster team satisfaction

Results from phase III

Table 5 displays the integration of the three data sources. It identified characteristics that emerged as underpinnings of interprofessional team member satisfaction. The high level of concordance across the sources is illustrated.

Table 5 Mixed methods integration to explain team member satisfaction


The findings of this study revealed that 409 health professionals perceived themselves as working on interprofessional teams from a total of approximately 1600 health professionals. Register nurses and nurse technicians were present on all of the teams [2, 43]. Interprofessional teams were most often found in wards/units where the complexity of patient care demanded collaborative work, or patients needed specialized care that required the presence of an expert consultation team (e.g., diabetes and ostomy) [44, 45]. Phase I results revealed that team member’s satisfaction, transformational leadership, and perceived team climate were significantly associated. Studies in clinical settings have identified similar results at the individual level, especially transformational leadership, team climate, and overall satisfaction [4, 17, 21, 25].

This study found that team climate was a better predictor of team satisfaction as compared to transformational leadership. The length of time working with an interprofessional team was also associated with satisfaction. Given that health care organizations in Santiago tend to rotate health professionals among different teams as a way to broaden their skills, these findings are noteworthy. A recent study found that a group’s life cycle stage is a relevant variable to achieve team satisfaction [46].

Findings from work advice network of the most satisfied team are worth noting. Results suggest that when a team structured itself around one professional, this allowed its members to approach and be approached easily, and facilitated information exchange through the network effortlessly. Teams with the least satisfaction revealed a fragmented structure with members organized as subgroups. These subgroups depended on each other for information and acted as mediators of communication flow. In terms of decision-making and sharing information, the incidence of pairs, some of which were isolated, represented a dangerous situation. Members of these teams did not agree regarding the best work advisor for assistance in delivering care to their patients. The organization of social support networks was even more fragmented, with half of them being isolated from the rest of the team. Other studies have used social network analysis to design quality improvement teams [28], to compare measures of friendship and work network [47], to improve workflow, and to better understand relationships [48].

The qualitative phase showed that common goals and patient-centered care are crucial characteristics of satisfied teams. Results emphasized the importance of interactions between members. Furthermore, professionals need to recognize the contribution of each team member and to know the responsibilities of all team members. Participants recognized an interface of reciprocity between personal and professional relationships. Other studies have reported similar results [4, 26, 43, 49, 50].

Team members’ perception of leadership is based on their interpersonal relationships with the leader. Integration of findings from both phases revealed that health professionals’ satisfaction with their interprofessional team was associated with characteristics of the team (e.g., location and permanence) and whether the team facilitated interpersonal relationships. Important aspects of the interpersonal relationships included cordial interactions, respectful communication, and shared decision-making. Similar results have been reported previously [15, 21, 22, 24, 43, 51,52,53].

Our findings indicated that team member’s satisfaction is associated with a team climate in which objectives/goals are shared. This type of team climate facilitates team members’ participation and task commitment. Positive interpersonal relationships involved recognition of equitable value of individual contribution to patient care and role clarity of all team members. These results are consistent with studies on HRH that recommend supporting positive interpersonal relationships and active listening, thereby facilitating interprofessional collaboration and teamwork synergy [6, 19, 34, 52].

Results of team climate for innovation highlight the contribution of the younger generation, through creativity and originality in the search for solutions. The literature recognizes the benefits of each profession’s talents and skills and encourages them to facilitate team identification and task commitment [30, 54]. Current research, focused on team climate for innovation, has documented tension between generations working together and resistance to change [54, 55].

Our results revealed the presence of shared (more than one) leader on interprofessional health teams. Recognized as a transformational leader, the register nurse was perceived as facilitating team member satisfaction through interpersonal relationships. This was accomplished through instances of dialog and genuine interest beyond professional boundaries. Other investigations on nursing teamwork support these results [56, 57]. A second team leader, most often a physician, was appointed by the organization and was task focused. Studies recognize this role as more traditional style of leader, one that gives direction with restricted communication and support [43, 58].

The analysis of team member’s professional and personal networks illustrated work associations and patterns of communication and information flow. The results also revealed an interface of influence between team members’ professional and personal networks. Positive interpersonal relationships can foster friendship and trust [23] particularly with jobs that require task interdependence and active collaboration [26]. Nonetheless, reduced interactions between professionals may lead to dissatisfaction, frustration, conflicts, and team fragmentation [11, 15].

This study had several limitations. First, the use of a cross-sectional design did not allow us to establish causality. A second limitation was the use of an intentional sample, which limits generalizability of findings. Another limitation was social desirability bias, which may have resulted in respondents over/under reporting interpersonal relationships or team leadership. We encouraged frank responses during survey administration to reduce social desirability bias. A fourth limitation was recall bias, and the accuracy of the data collected may have been influenced by this type of bias. Despite these limitation, the study had several strengths. The novel attempt to study this phenomenon in Chile and the use of mixed methods were strengths of the current study. Mixed methods generated a rich description of interprofessional work practice and allowed us to move beyond descriptive to explore team member satisfaction.


This study provided a comprehensive approach to describe the satisfaction experienced by members of interprofessional teams in clinical contexts. Team climate was dependent on interactions around a shared goal, which in turn facilitated collaborative work beyond personal differences, and explained to a greater extent the satisfaction within the team. Recognition of individual contributions to patient care was facilitated by members’ permanence on the team. A recurrent theme was the need for clarity of professional roles and definition of responsibilities.

Team leadership was shared between the designated leader from the organization and the transformational leader recognized by team members. The recognition of the interdependence between the professional and personal dimension of the team encouraged integrated teamwork and should be considered in HRH strategies. Analysis of social networks allowed the investigators to observe patterns of communication and shared information as a way to solve work and personal problems within teams.

Our research results have the potential to contribute to the planning and decision-making in the field of HRH, providing elements to promote teamwork and its management as well as supporting team member satisfaction. In turn, this could lead to job permanence especially where the local needs are more urgent (Chilean public health sector). Our results are also aligned with the Global Strategy for Human Resources for Health (HRH) 2030 that call to strengthen interprofessional teamwork collaboration. Our paper highlights central elements of team climate and leadership that enhance members’ satisfaction within the team. This knowledge can be used to develop strategies that limit health professional turnover and help to meet the growing and complex needs of health users. Future research should focus on barriers to teamwork, deepening the understanding of the interface between the professional and personal dimension of HRH and its impact on work results. Finally, these results need to be validated studying other types of interprofessional teams to determine their level of transferability to other teams and contexts.



Human Resources for Health


Chilean Ministry of Health


The World Health Organization


  1. World Health Organization. WHO global strategy on people-centered and integrated health services [Internet]. Geneva: Service Delivery and Safety; 2015. Available from:

    Google Scholar 

  2. Weinberg D, Cooney-Miner D, Perloff JN, Babington L, Avgar A. Building collaborative capacity: promoting interdisciplinary teamwork in the absence of formal teams. Med Care. 2011;49(8):716–23.

    Article  PubMed  Google Scholar 

  3. World Health Organization. Global strategy on human resources for health: workforce 2030. 2016. Accessed 16 June 2017.

  4. Song H, Ryan M, Tendulkar S, Fisher J, Martin J, Peters AS, Frolkis JP, Rosenthal MB, Chien AT, Singer SJ. Team dynamics, clinical work satisfaction, and patient care coordination between primary care providers: a mixed methods study. Health Care Manag Rev. 2017;42(1):28–41.

    Article  Google Scholar 

  5. Chang WY, Ma JC, Chiu HT, Lin KC, Lee PH. Job satisfaction and perceptions of quality of patient care, collaboration and teamwork in acute care hospitals. J Adv Nurs. 2009;65(9):1946–55.

    Article  PubMed  Google Scholar 

  6. Kovner C, Brewer C, Wu YW, Cheng Y, Suzuki M. Factors associated with work satisfaction of registered nurses. J Nurs Scholarsh. 2006;38(1):71–9.

    Article  PubMed  Google Scholar 

  7. Körner M, Wirtz MA, Bengel J, Göritz A. Relationship of organizational culture, teamwork and job satisfaction in interprofessional teams. BMC Health Serv Res. 2015;15:243.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Campion MA, Papper EM, Medsker GJ. Relations between work team characteristics and effectiveness: a replication and extension. Pers Psychol. 1996;49:429–52.

    Article  Google Scholar 

  9. Chiang MM, Salazar CM, Martín MJ, Nuñez A. Clima organizacional y satisfacción laboral. Una comparación entre hospitales públicos de alta y baja complejidad. Salud de Trabajadores. 2011;19(1):5–16.

    Google Scholar 

  10. Gladstein DL. Groups in context: a model of task group effectiveness. Adm Sci Q. 1984;29(4):499–517.

    Article  Google Scholar 

  11. Torre-Ruiz JM, Ferrón-Vílchez V, Ortiz-de-Mandojana N. Team decision making and individual satisfaction with the team. Small Group Res. 2014;45:198.

    Article  Google Scholar 

  12. Mickan SM. Evaluating the effectiveness of health care teams. Aust Health Rev. 2005;29(2):211–7.

    Article  PubMed  Google Scholar 

  13. Harris M, Proudfoot J, Jayasinghe U, et al. The job satisfaction of general practice staff and the team environment. Med J Aust. 2007;186:570–2.

    PubMed  Google Scholar 

  14. De Gieter S, Hofmans J, Pepermans. Revisiting the impact of job satisfaction and organizational commitment on nurse turnover intention: an individual differences analysis. Int J Nurs Stud. 2011;48(12):1562–9.

    Article  PubMed  Google Scholar 

  15. Brunetto Y, Sherry M, Shriberg A, et al. The impact of workplace relationships on engagement, well-being, commitment and turnover for nurses in Australia and the USA. J Adv Nurs. 2013;69(12):2786–99.

    Article  PubMed  Google Scholar 

  16. Tse HM, Dasborough MT, Ashkanasy NM. A multi-level analysis of team climate and interpersonal exchange relationships at work. Leadersh Q. 2008;19(2):195–211.

    Article  Google Scholar 

  17. Anderson NR, West MA. Measuring climate for work group innovation: development and validation of the team climate inventory. J Organ Behav. 1998;19(3):235–58.

    Article  Google Scholar 

  18. Dackert I. The impact of team climate for innovation on well-being and stress in elderly care. J Nurs Manag. 2010;18(3):302–10.

    Article  PubMed  Google Scholar 

  19. West M, Farr JL. Innovation at work. In: West MA, Farr JL, editors. Innovation and creativity at work: psychological and organizational strategies. Chichester: Wiley; 1990. p. 3–13.

    Google Scholar 

  20. Bass B, Avolio B. Improving organizational effectiveness. Through transformational leadership. USA: SAGE Publications; 1994.

    Google Scholar 

  21. Lega F, Prenestini A, Rosso M. Leadership research in healthcare: a realist review. Health Serv Manag Res. 2017;30(2):94–104.

    Article  Google Scholar 

  22. Burke CS, Stagl KC, Klein C, Goodwin GF, Salas E, Halpin SM. What type of leadership behaviors are functional in teams? A meta-analysis. Leadersh Q. 2006;17:288–07.

    Article  Google Scholar 

  23. Braun S, Peus C, Weisweiler S, Frey D. Transformational leadership, job satisfaction, and team performance: a multilevel mediation model of trust. Leadersh Q. 2013;24:270–83.

    Article  Google Scholar 

  24. Walumbwa FO, Bruce J, Avolio B, Zhu W. How transformational leadership weaves its influence on individual job performance: the role of identification and efficacy beliefs. Pers Psychol. 2008;61:793–825.

    Article  Google Scholar 

  25. Ding X, Li Q, Zhang H, Sheng Z, Wang Z. Linking transformational leadership and work outcomes in temporary organizations: a social identity approach. Int J Proj Manag. 2017;35(4):543–56.

    Article  Google Scholar 

  26. Braithwaite J. Between-group behavior in health care: gaps, edges, boundaries, disconnections, weak ties, spaces and holes. A systematic review. BMC Health Serv Res. 2010;10:330.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Havig AK, Skogstad A, Veenstra M, Romøren TI. The effects of leadership and ward factors on job satisfaction in nursing homes: a multilevel approach. J Clin Nurs. 2011;20(23):3532–42.

    Article  PubMed  Google Scholar 

  28. Meltzer D, Chung J, Khalili P, et al. Exploring the use of social network methods in designing healthcare quality improvement teams. Soc Sci Med. 2010;71(6):1119–30. Details for Manuscript Number: SSM-D-09-00187 R3

    Article  PubMed  PubMed Central  Google Scholar 

  29. Sales A, Estabrooks C, Valente T. The impact of social networks on knowledge transfer in long-term care facilities: protocol for a study. Implement Sci. 2010;5:49.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Samarth CN, Gloor PA. Process efficiency. Redesigning social networks to improve surgery patient flow. J. Health Inf Manag. 2009;23(1):20–6.

    Google Scholar 

  31. Barrera D, Van de Bunt G. Learning to trust: networks effects through time. Eur Sociol Rev. 2009;25(6):709–21.

    Article  Google Scholar 

  32. Borgatti SP, Everett MG, Johnson JC. Analyzing social networks. London: SAGE Publications; 2013.

    Google Scholar 

  33. Ministerio de Salud. Informe de Brechas en Recursos humanos en el sector público. 2016.úblico_Marzo2016.pdf. Accessed 16 Jun 2017.

  34. Chiang Vega MM, San Martín Neira NJ. Análisis de la satisfacción y el desempeño laboral en los funcionarios de la Municipalidad de Talcahuano. Cienc Trab. 2015;17(54):159–65.

    Article  Google Scholar 

  35. Creswell JW. A concise introduction to mixed methods research. California: SAGE Publications; 2015.

    Google Scholar 

  36. Fieldin N. Triangulation and mixed methods designs: data integration with new research technologies. J Mix Methods Res. 2012;6(2):124–36.

    Article  Google Scholar 

  37. Kivimaki M, Elovainio M. A short version of the team climate inventory: development and psychometric properties. J Occup Organ Psychol. 1999;72(2):241–6.

    Article  Google Scholar 

  38. Boada-Grau J, de Diego-Vallejo R, de Llanos-Serra E, Vigil-Colet A. Short Spanish version of team climate inventory (TCI-14): development and psychometric properties. Psicothema. 2011;23(2):308–13.

    PubMed  Google Scholar 

  39. Vega C, Zavala G. Adaptación del cuestionario multifactorial de liderazgo (MLQ forma 5x corta) de b. Bass y b. Avolio al contexto organizacional chileno [master’s thesis]. Santiago: Universidad de Chile; 2004. p. 295.

    Google Scholar 

  40. Denzin NK, Lincoln YS. The Sage handbook of qualitative research. 5th ed. Los Angeles: Sage; 2017.

    Google Scholar 

  41. Curry L, Nuñez-Smith M. Mixed methods in Health Science Research, A practical Primer. California: SAGE Publications; 2015.

  42. Ivankova NV, Creswell JW, Stick SL. Using mixed-methods sequential explanatory design: from theory to practice. Field Methods. 2006;18:13–20.

    Article  Google Scholar 

  43. Weller J, Boyd M, Cumin D. Teams, tribes and patient safety: overcoming barriers to effective teamwork in healthcare. Postgrad Med J. 2014;90:149–54.

    Article  PubMed  Google Scholar 

  44. West MA, Lyubovnikova J. Illusions of team working in health care. J Health Organ Manag. 2013;27(1):134–42.

    Article  PubMed  Google Scholar 

  45. Anshu S, Jyotsna B. Emergence of team engagement under time pressure: role of team leader and team climate. Team Perform Manage Int J. 2017;23(3/4):171–85.

    Article  Google Scholar 

  46. Alves MP, Lourenco PR, Dimas I. Workgroup interdependence and satisfaction from a developmental perspective: the moderating role of the group’s life cycle stage. Int J Soc Psycol. 2017;32(3):482–512.

    Google Scholar 

  47. Muñoz DA, Marcus I, Alonso W, Nembhard HB. A Social Network Analysis-based Approach to Evaluate Workflow and Quality in a Pediatric Intensive Care Unit. IIE Annual Conference. Proceedings. Institute of Industrial and Systems Engineers (IISE); 2014. Accessed 16 June 2017.

  48. Ariño JM, Torrent MS. Las redes sociales del Centro de Salud San Pablo de Zaragoza. Aten Primaria. 2009;41(12):670–4.

    Article  Google Scholar 

  49. Mitchell R, Parker V, Giles M, Boyle B. The ABC of health care team dynamics: understanding complex affective, behavioral, and cognitive dynamics in interprofessional teams. Health Care Manag Rev. 2014;39(1):1–9.

    Article  Google Scholar 

  50. Chieh-Wen S, Tian Y-F, Chen M-C. Relationships among teamwork behavior, trust, perceived team support, and team commitment. Soc Behav Personal Int J. 2010;38(10):1297–305.

    Article  Google Scholar 

  51. Tsai Y. Relationship between organizational culture, leadership behavior and job satisfaction. BMC Health Serv Res. 2011;11:98–106.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Harris MF, Advocat J, Crabtree BF, et al. Interprofessional teamwork innovations for primary health care practices and practitioners: evidence from a comparison of reform in three countries. J Multidiscip Healthc. 2016;9:35–46.

    Article  PubMed  PubMed Central  Google Scholar 

  53. Nielsen K, Yarker J, Brenner SO, Randall R, Borg V. The importance of transformational leadership style for the well-being of employees working with older people. J Adv Nurs. 2008;63(5):465–75.

    Article  PubMed  Google Scholar 

  54. Myers KK, Sadaghiani K. Millennials in the workplace: a communication perspective on millennials’ organizational relationships and performance. J Bus Psychol. 2010;25(2):225–38.

    Article  PubMed  PubMed Central  Google Scholar 

  55. Chou SY. Millennials in the workplace: a conceptual analysis of millennials’ leadership and followership styles. Int J Hum Resour Stud. 2012;2(2):71.

    Article  Google Scholar 

  56. Trofino AJ. Transformational leadership: moving total quality management to world-class organizations. Int Nurs Rev. 2000;47(4):232–42.

    Article  PubMed  CAS  Google Scholar 

  57. Wong CA, Laschinger HK. Authentic Leadership, Performance, and Job Satisfaction: The Mediating Role of Empowerment. J Adv Nurs. 2012;69(4):947–59.

    Article  PubMed  Google Scholar 

  58. Nembhard IM, Edmondson AC. Making it safe: the effects of leader inclusiveness and professional status on psychological safety and improvement efforts in health care teams. J Organiz Behav. 2006;27:941–66.

    Article  Google Scholar 

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We would like to thank all the participants involved in this research for their time and contributions. In particular, we are grateful to all professionals for agreeing to participate in this study and allowing researchers into the hospital.

Availability of data and materials

The datasets generated and analyzed during the current study are not publicly available due the sensitive nature of qualitative interview data. Even though names and obvious identifiers have been removed from transcripts, it may be possible to identify participants by reading interviews in their entirety. However, code reports or other excerpts are available from the corresponding author on reasonable request. All quantitative data generated or analyzed during this study are available on request from the authors.

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Authors and Affiliations



PE and MP drafted the project protocol and designed the data collection with the input from HFA and MAS. PE supervised the team of data collectors and transcribed the interviews. PE and MP analyzed the data and jointly drafted a report documenting all results. PE wrote the first draft of the manuscript. MP, HFA, and MAS provided substantial revisions. All co-authors reviewed and approved the final manuscript.

Corresponding author

Correspondence to Pilar Espinoza.

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Ethics approval and consent to participate

This study was approved by the ethics committee of participating institutions in Chile. All participants provided written informed consent prior to participation.

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The authors declare that they have no competing interests.

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Espinoza, P., Peduzzi, M., Agreli, H.F. et al. Interprofessional team member’s satisfaction: a mixed methods study of a Chilean hospital. Hum Resour Health 16, 30 (2018).

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