Skip to main content
Download PDF

Relationship of organizational culture, teamwork and job satisfaction in interprofessional teams

BMC Health Services Research volume 15, Article number: 243 (2015) Cite this article

Abstract

Background

Team effectiveness is often explained on the basis of input-process-output (IPO) models. According to these models a relationship between organizational culture (input = I), interprofessional teamwork (process = P) and job satisfaction (output = O) is postulated. The aim of this study was to examine the relationship between these three aspects using structural analysis.

Methods

A multi-center cross-sectional study with a survey of 272 employees was conducted in fifteen rehabilitation clinics with different indication fields in Germany. Structural equation modeling (SEM) was carried out using AMOS software version 20.0 (maximum-likelihood method).

Results

Of 661 questionnaires sent out to members of the health care teams in the medical rehabilitation clinics, 275 were returned (41.6 %). Three questionnaires were excluded (missing data greater than 30 %), yielding a total of 272 employees that could be analyzed. The confirmatory models were supported by the data. The results showed that 35 % of job satisfaction is predicted by a structural equation model that includes both organizational culture and teamwork. The comparison of this predictive IPO model (organizational culture (I), interprofessional teamwork (P), job satisfaction (O)) and the predictive IO model (organizational culture (I), job satisfaction (O)) showed that the effect of organizational culture is completely mediated by interprofessional teamwork. The global fit indices are a little better for the IO model (TLI: .967, CFI: .972, RMSEA .052) than for the IPO model (TLI: .934, CFI: .943, RMSEA: .61), but the prediction of job satisfaction is better in the IPO model (R2 = 35 %) than in the IO model (R2 = 24 %).

Conclusions

Our study results underpin the importance of interprofessional teamwork in health care organizations. To enhance interprofessional teamwork, team interventions can be recommended and should be supported. Further studies investigating the organizational culture and its impact on interprofessional teamwork and team effectiveness in health care are important.

Peer Review reports

Background

Patients with chronic diseases have complex health needs and typically require treatment by more than one health care discipline [1]. In Germany, chronic care is provided in in-patient facilities (“rehabilitation clinics”) with interprofessional teams [2]. These teams consist of professionals of at least two health care disciplines who work together toward a common goal to achieve an optimal outcome for their patients [3–6]. Usually, the teams comprise physicians, nurses, physiotherapists, sport therapists, psychotherapists, psychologists, social workers, and dieticians [6–8], with the particular team composition depending on the type of chronic diseases treated in the clinic.

Team effectiveness is often explained on the basis of input-process-output models (IPO) [7, 9–16]. IPO models describe the impact of input (e.g., organizational culture, team composition, structure of communication, task design) and the mediating process (e.g., communication, coordination, respect, conflict leadership) on team output (e.g., team performance, job satisfaction, well-being, cost effectiveness, quality of care, treatment outcome) [11, 12, 14]. IPO models are heterogeneous with regard to their complexity and the elements they include. To empirically examine an IPO model, researchers typically select several elements in the models [17–20].

Organizational characteristics, such as organizational culture, are important aspects for interprofessional teamwork, treatment quality and success [21, 22]. Studies have demonstrated that interprofessional teamwork is influenced by organizational culture [23, 24]. Further studies have shown that teamwork predicts job satisfaction [14, 25–28]. However, until now no study has investigated a single model which includes all of the constructs in one model. This means, in detail, organizational culture as input, interprofessional teamwork as process, and job satisfaction as output, as well as the mediating effect of interprofessional teamwork in health care.

Organizational culture

Organizational culture is often considered as the precondition of teamwork in the organization. It is defined as the shared values, beliefs, or perceptions held by employees within an organization [29], and “is the social glue holding an organization together” ([30], p. 2). Schein [31] stated that organizational culture consists of the underlying assumptions and beliefs that the members of an organization share and that operate unconsciously. Mission, strategy, structure, leadership and human resource practices are important determinants of organizational culture [32]. An organization with a strong culture helps employees to accomplish their goals and tasks and be satisfied in their job [30]. Organizational culture is “an important explanatory variable for behavior and performance in the workplace” ([32], p. 116) and influences teamwork and treatment outcomes [32]. Moreover, organizational culture predicts job satisfaction [30, 33–35]. Existing studies focus on the impact of organizational culture on implementing interventions [36], quality improvement [37], patient safety [38], or performance [39, 40], or focus only on one professional group such as nurses (e.g. [41, 30]). Additionally, these studies were conducted in acute care centers or nursing homes. Only Strasser [32] performed a study in the interprofessional rehabilitation setting. They verified that team functioning differs significantly depending on the dominant organizational culture. The highest team functioning scores were achieved by teams with a more personal and dynamic organizational culture rather than those that were more bureaucratic and formal [32]. Organizational culture influences the implementation of interventions in health care organizations, therefore its characteristics need to be investigated in order to improve implementation processes, e.g. for guidelines [42]. There are only a few questionnaires for organizational culture which are clinic-specific (e.g. Hospital Culture Questionnaire [43], The Hospital Culture Scale [44]), or used in a clinical setting [45]. All of them have limitations concerning their psychometrical testing, structure and theoretical basis and vary in their definition of organizational culture [45].

Interprofessional teamwork

Interprofessional teamwork is a key feature of the comprehensive chronic care approach [46–48]. It is defined as a partnership “in a participatory, collaborative and coordinated approach to shared decision-making around health and social issues” of the patients ([5], p. 11). Körner and Wirtz [49] define the core dimensions of client-centered interprofessional teamwork as communication, cooperation, coordination, respect, and work climate. Furthermore, teamwork in health care may be categorized into interprofessional versus multiprofessional team approaches [12, 28]. The two approaches differ in organization, leadership, communication and decision-making, with the interprofessional approach achieving better results in teamwork and higher staff satisfaction than the multiprofessional approach [28]. Multiprofessional teamwork means that the different disciplines/professions work separately, each with its own treatment goals. The physician determines and delegates the treatment options to the other health care professionals in a one-way, mostly bilateral interaction process between the professionals. In contrast, the interprofessional approach is more interactive and participative, with the health care professionals agreeing on a common treatment goal and adapting their discipline-specific goals to this common goal. The physician involves the other health care professionals in treatment decisions within a multilateral interaction process and coordinates the treatment in interprofessional team meetings [28, 50]. Several studies have shown the effects of interprofessional teamwork on outcome criteria on the client, staff and organization level: On the client/patient level, high quality teamwork is linked with higher satisfaction and treatment acceptance [51], improved quality of treatment [52], improved patient safety [53, 54] and better clinical outcomes [14, 16]. On the staff level, higher job satisfaction [28], greater well-being [55], improved mental health, better team climate and increased team efficiency [56] have been reported. On the organization level, high quality teamwork is associated with cost savings, higher workforce retention and reduced turnover [16, 57].

Job satisfaction

Job satisfaction is a main outcome criterion in the IPO models for staff [58] and an extensively researched work attitude in organizational psychology [59]. The most widely accepted definition of job satisfaction has been formulated by Locke [60], who defined job satisfaction as “a pleasurable or positive emotional state resulting from the appraisal of one’s job or job experiences” ([60], p. 1304). It can be measured with one global item, which refers to employees' overall attitude towards their jobs. Job satisfaction is often used to operationalize team success [12, 61, 62]. However, there are also assessments that divide job satisfaction into different dimensions [63]. This is due to the impact of job satisfaction on the perception of quality of care and patient outcomes, such as length of hospital stay, medical errors and mortality [26, 52, 64], and its association with performance, motivation, absenteeism/tardiness, mental/physical health and general life satisfaction [65].

The present study

Few studies have tested the mediating effects of team process variables based on the IPO model [66]. To the best of our knowledge, no study has combined organizational culture, interprofessional teamwork and job satisfaction. We developed our model (see Fig. 1) using the IPO model [11, 12, 14, 15] as a framework and considering the abovementioned research on teamwork and the impact of organizational culture on job satisfaction. Based on previous findings [30, 33–35], we also tested whether job satisfaction can be predicted through interprofessional teamwork. Moreover, we do not limit our study to one professional group, such as nurses or physicians, as practiced in most other studies, but include all kinds of different health care professionals, because interprofessional teamwork is perceived as a key feature of the comprehensive chronic care approach in rehabilitation in Germany [24, 46, 48, 67, 68].

Fig. 1
figure 1

Model of the impact of organizational culture on teamwork and job satisfaction (IPO model)

Full size image

The aim of this study was to examine the model (see Fig. 1) using structural analysis. In particular, we sought to empirically (a) assess model variables and (b) estimate the associations and predictive relationships between organizational culture, interprofessional teamwork and job satisfaction as illustrated in Fig. 1, as well as the direct association of organizational culture with job satisfaction. To this end, the following hypotheses were formulated regarding the fit of the model and the relationships within the models.

Hypothesis 1: The data can be adequately modeled by a theory-based structural equation model.

Hypothesis 2:

  1. a)

    Interprofessional teamwork mediates between organizational culture and job satisfaction.

  2. b)

    Organizational culture is also an independent predictor of job satisfaction.

Method

This multi-center cross-sectional study was part of the project “Development and evaluation of a shared-decision-making training program in medical rehabilitation” funded by the German Federal Ministry of Research and Education and the German Statutory Pension Insurance Scheme (Grant 01GX0720). For this study, we collected data at fifteen rehabilitation clinics that treated different chronic diseases using an employee survey, which measured an individual health care professional´s perspective. Six of the centers were psychosomatic clinics and nine were somatic rehabilitation clinics with a wide range of indications (i.e., orthopedics, cardiology, neurology, oncology, metabolism and pulmonology). Each clinic designated a contact person (typically a senior physician or psychologist) who was responsible for the implementation of the study: All questionnaires (N = 662) were sent to these contact persons, who distributed them to all health care professionals at their clinic. Two weeks after the deadline, we sent out reminders to all health care professionals.

The study included all health care professionals who worked within a team and were directly involved in patient treatment. It was conducted in accordance with the Declaration of Helsinki [69]. All ethical principles for medical research involving human subjects were approved and supported by the Ethics Committee of the University of Freiburg.

Instruments

For the assessment of organizational culture, a Hospital Culture Questionnaire (HCQ) was developed based on the Corporate Culture Scale-Short Form (CCS-SF) by Jöns [70], because there was no German questionnaire for this construct. The adaption for the clinical context takes place in a consensus process of three experts of different health care professions (psychologist, physician and physiotherapist). Since most of the original items fitted the clinical context, we only had to adapt the wording in some parts, e.g. clinic instead of company or patient instead of customer. We also omitted two items (the relationship of the staff is characterized/shaped by cooperation and the trust of the staff in their leaders is high) on the assumption that the team-orientated clinic includes this, and added a further three (conflict management, control of difficult situations, and ability to criticize in a constructive way) on the basis of a pilot study. Likewise, staff-centeredness is included as an important quality criterion for health care organizations [71]. The bipolar scaling of the CCS-SF has been simplified in a unipolar scale. This newly developed Hospital Culture Questionnaire consists of 14 items: six for “structure and strategy” and eight for “leadership” (see Additional file 1). The 14 items were assessed on a five-point Likert-Scale (1 = strongly agree to 5 = strongly disagree), and there was also the option of checking “no opinion”. The values of the items were recoded (1 = strongly disagree and 5 = strongly agree) before calculating the scores of the subscales Structure and Strategy and Leadership and the complete scale Organizational culture, because we wanted higher values to indicate a more favorable evaluation. Patient-centeredness, staff, team and quality orientation, decision-making and openness for innovations are the main topics of the items on the Structure and strategy subscale. A sample item is “in my view the clinic is quality-oriented.” The leadership subscale captures leadership performance, and the items focus on trust, cooperation, difficult situations, conflict management, constructive criticism, participation, information and relevance of teamwork. The complete scale Organizational culture consists of both subscales. The HCQ was psychometrically tested and validated [72]. Scale reliability was checked by computing Cronbach’s alpha (Structure and strategy: .85 and Leadership: .92) [72]. The two scales correlate highly (r = .52-.62) with scales which are similar in content (e.g. leadership, organization and communication and organizational climate).

Teamwork was measured using the Internal Participation Scale (IPS) [49] which captures the core dimensions of teamwork identified by Valentine, Nembhard and Edmondson [73]. The items capture communication (“Communication in the team is efficient”) and cooperation among health care professionals (“The health care professionals work hand-in-hand”), coordination of treatment options within the interprofessional team (“The different types of treatment are well coordinated”), coordination of the health care professionals (“Agreements among health care professionals are well coordinated”), respect among the health care professionals (“The health care professionals respect each other”) and climate within the interprofessional team (“Overall there is a friendly climate in the clinic”). The six IPS items are assessed on a four-point Likert scale (1 = does not apply at all, 2 = generally does not apply, 3 = generally applies, 4 = fully applies), with the additional option of responding “I cannot judge this.” When calculating the total score (team score), one missing item is accepted. The raw scores are transformed to a range from 0 (minimum level of teamwork) to 100 (highest level of teamwork). The IPS possesses good psychometric properties [49].

Job satisfaction was measured using the item “How satisfied are you in general with your job?” from the Questionnaire on Staff Satisfaction in Medical Rehabilitation by Farin et al. [74], which is assessed on a five-point Likert scale (1 = very dissatisfied, 2 = dissatisfied, 3 = neither satisfied nor dissatisfied, 4 = satisfied, 5 = very satisfied). The psychometric criteria of this item were proved to be good.

Statistical analysis

Initially, the items were checked for plausibility, and missing data analysis was performed. Descriptive statistics were calculated using SPSS version 20.0. Structural equation modeling (SEM) was carried out using AMOS software version 20.0 (maximum-likelihood method). Data was imputed by means of the expectation-maximum algorithm to avoid biases, even in cases of missing at random (MAR) [75]. Structural equation modeling (SEM) was conducted to verify whether the proposed model reproduced the data. Several global fit measures were considered. Chi-square (X2), the Comparative Fit Index (CFI), the Tucker-Lewis Index (TLI) and the Root Mean Square Error of Approximation (RMSEA) were used as goodness-of-fit indicators. The X2-test was used as the strictest form of model testing [76]. In addition, the TLI and the CFI were calculated as measures of incremental model fit. For these measures, values ≥ .90 are suggested as criteria for an acceptable model fit and ≥ .95 for a good fit [77, 78]. The RMSEA indicates the proportion of variance-covariance information not correctly predicted by the model. Values of ≤ .08 or ≤ .05 are deemed to indicate an acceptable or good fit, respectively [77]. Furthermore, indicators of local fit were applied. The proportion of variance of the indicators (IR) predicted by the construct is supposed to amount to > .40, and the average proportion of variance (AVE) measured by the construct is supposed to be > .50 [76]. As criterion for factor reliability (FR), values > .60 are accepted as satisfactory [79]. The discriminant validity was checked using the Fornell-Larcker criterion, which requires the construct to be more strongly related to its own indicators than to other model constructs [78].

Participants

Of 661 questionnaires sent out to members of the health care teams in the medical rehabilitation clinics, 275 were returned (41.6 %). Three questionnaires (staff members) were excluded because too much information was missing (more than 30 %), yielding a total of 272 employees that could be analyzed. Most of the items have zero to four responses with missing data (n = 15 items). Only five items have seven and more, with the maximum number at 17 (6.3 %) for the IPS item “The different types of treatment are well coordinated”.

Table 1 displays the sample characteristics. About one fourth of the participants were psychosocial therapists, and about 18 % physicians, nursing staff and physical therapists (physiotherapists and sport teachers). Most of the health care professionals were aged between 26 and 55, worked full time and had worked for more than five years at their clinic.

Table 1 Description of sample (n = 272)
Full size table

Results

The descriptive statistics pertaining to all scales are summarized in Table 2. The mean values (M) for all scales were neutral to positive (M ≥ 3), and standard deviations (SD) ranged between .53 and .87. Although there are significant violations of symmetry for the three scales Structure and strategy, Teamwork and Job satisfaction, the absolute skewness (values below 3) can be considered acceptable [76, 80]. Specifically, these three scales are left-skewed (see t-value in Table 2), but without significant ceiling effects. According to Kline [81], absolute skewness values below 3 indicate no critical violation of the normal distribution assumption.

Table 2 Descriptive statistics for all variables of the model
Full size table

The two subscales Structure and strategy and Leadership link highly with one another, and as expected, they have a high association with the complete scale Organizational culture. There are also high correlations between Teamwork and Organizational culture and its two subscales. The associations of all these scales with Job satisfaction are moderate (see Table 3).

Table 3 Product–moment correlations among all scales and subscales
Full size table

Structural equation analysis

A three-factor measurement model (Structure and strategy, Leadership and Teamwork) with a total of 20 items was used as a basis to confirm the model. The global model fit indices (see Table 4) illustrate that this original confirmatory model (model 1) explained the data acceptably (X2/df > 2, TLI <. 95, CFI < .95 and RMSEA < .05). The items patient oriented and agreements have indicator reliabilities lower than .4 (see Table 4), but were not eliminated to maintain the complete scale in the analysis. Furthermore, the substantial error correlations (covariance modification indices (M.I.)) indicate local dependency between the items participatory leadership style and trust in employees (M.I.: 30.19), between cooperation and agreements (M.I.: 21.18) as well as between respect and communication (M.I.: 27.14), and they were taken into account in a modified confirmatory model (model 2). With model 2, an acceptable to good fit was achieved for all fit indices (X2/df = 2, TLI = .94, CFI = .95 and RMSEA < .06). The local fit indices for model 2 are summarized in Table 5. The required thresholds for factor reliability in structural equation models (≥ .6) and average variance explained (≥ .5) have been exceeded for all scales. The threshold for indicator reliability was exceeded in 18 out of 20 items. The t-values of all factor loadings were significant.

Table 4 Global model fit indices for all estimated models
Full size table
Table 5 Measures of local fit for modified confirmatory model
Full size table

The high correlation between the two latent factors structure and strategy and leadership (.90) support the factor of a second-order organizational culture as theoretically assumed. Next, with the predictive models we took the modified confirmatory model (model 2) as the base and added this second-order factor as well as job satisfaction as criteria (model 3: IPO and model 4: IO). Good model fit proved to be stable for these prediction models (see Table 4). The first predictive model (model 3: IPO) has a better fit than model 2 (confirmatory model with second-order factor), rendering the global fit acceptable to good. Model 3 predicts 35 % of job satisfaction (see Fig. 2). Thereby - as expected - the association between each of the two subscales, structure and strategy and leadership, and the complete scale, organizational culture, is significant (βleadership = .99 and βstructure and strategy = .80, p < .001). Interprofessional teamwork is a significant predictor of job satisfaction (standardized regression weight: β = .80; p < .001), but organizational culture is not (β = −.033; p = .57). Next, when removing interprofessional teamwork with its six items from the IPO model, organizational culture becomes a significant predictor of job satisfaction (β = .47, p < .001). The fit of the IO model improved compared to model 3 (X2/df = 1.72 TLI = 97, CFI = .97 and RMSEA = .5). However, the explained variance in job satisfaction decreased to 24 % (R2) (see Table 4 and Fig. 3). All latent factors can be delimited from one another to a sufficient degree, as the correlations are always lower than the square root of average variance extracted (Fornell–Larcker criterion, [78, 82]).

Fig. 2
figure 2

Structural equation IPO model for the prediction of job satisfaction (Model 3). The figures on the paths are the standardized path coefficients. To ensure identifiability, the indicator paths leadership and structure and strategy were fixed to 1

Full size image
Fig. 3
figure 3

Structural equation IO model for the prediction of job satisfaction (Model 4). The figures on the paths are the standardized path coefficients. To ensure identifiability, the indicator paths structure and strategy and leadership were restricted (leadership = 1 and structure and strategy = .7)

Full size image

Discussion

Based on the IPO model [11, 12, 14, 15] and empirical findings on the influence of organizational culture [30, 33, 34] and interprofessional teamwork [27, 28] on job satisfaction, a theoretical model was developed that defines organizational culture as an input variable, interprofessional teamwork as a process variable and job satisfaction as the output variable. The confirmatory models (model 1 and model 2) were supported by the data (Hypothesis 1). Furthermore, the results showed that 35 % of job satisfaction is predicted by a structural equation model that includes both organizational culture and Interprofessional teamwork (Hypothesis 2a). The comparison of model 3 (IPO: organizational culture – interprofessional teamwork – job satisfaction) and model 4 (IO: organizational culture – job satisfaction) showed that the effect of organizational culture is completely mediated by interprofessional teamwork. The global fit indices are a little better for model 4 (TLI: .967, CFI: .972, RMSEA .052) than for model 3 (TLI: .934, CFI: .943, RMSEA: .61), but the prediction of job satisfaction is better in the IPO model (model 3) (R2 = 35 %) than in the IO model (model 4) (R2 = 24 %). The IO model supports Hypothesis 2b, which postulated that organizational culture predicts job satisfaction independently [30, 33–35]. However, if we include interprofessional teamwork (model 3), organizational culture loses its predictive value for job satisfaction, and interprofessional teamwork mediates the relationship between these two constructs completely. Few studies have explicitly investigated the mediator effect of teamwork based on the IPO model [83–85], and they were not performed in the health care setting. Most of the health care studies show the single influences of organizational culture on teamwork [23, 24, 32] or teamwork on job satisfaction [25–28] or organizational culture on job satisfaction [30, 33, 35], but there is no comparable study in health care which considers all three constructs together. Tsai [30] showed the relationships between organizational culture, leadership behavior and job satisfaction. We used leadership as a dimension of organizational culture and not as a separate construct. We also retrieved a high correlation of the constructs in our study and solved this by using “organizational culture” as a higher level factor. Leadership style is important for organizational culture as well as for interprofessional teamwork [45]. Schein [86] emphasized that culture and leadership style are “two sides of the same coin” [p. 28], since executives create culture and are influenced by it. Further findings [30, 33, 87] to the association of organizational culture and job satisfaction are also consistent with our IO model.

Furthermore Chang et al. [26] showed that interprofessional teamwork was one of the most important predictors of job satisfaction as stated in the IPO models [14, 88]. Taking the IPO model [11, 12, 14, 15] as a framework and using organizational culture as an input variable, we find a complete mediation of the effect of organizational culture on job satisfaction through teamwork. In other words, organizational culture affects job satisfaction presumably through the intermediate process - interprofessional teamwork. Thus it could be assumed that it is most important to establish good interprofessional teamwork in order to increase job satisfaction in health care. In line with previous study findings [28, 52, 88–90], this stresses the importance of high quality interprofessional teamwork in health care. From a practical point of view, these findings provide essential clues for enhancing interprofessional teamwork and ensuring high job satisfaction. There are several interventions available for improving interprofessional teamwork [12, 52, 91, 92], but there are only a few studies on this issue [93].

A limitation of this finding is the overlapping of the constructs of interprofessional teamwork and organizational culture. Theoretically, the constructs cannot be differentiated precisely; for example, teamwork is used as a dimension of organizational culture [45], or leadership (in our study, a scale of organizational culture) is also a dimension of teamwork and climate (in this study, an item of teamwork, IPS) is highly associated with culture [70]. Empirically, there is also a high correlation between organizational culture and teamwork (r = .66). Strasser et al. [32] also find associations between types of organizational culture and teamwork. The highest team functioning scores were found in teams with a dynamic culture and the lowest scores in a formalized and structured culture. Organizational culture can support teamwork [32, 94, 95]. This leads us to the conclusion that both aspects – interprofessional teamwork and organizational culture – are equally important for job satisfaction. Concerning organizational culture, the leadership is supposed to be the most important characteristic [40, 45]. “It was found that encouragement and support by leaders, their trust and clear vision, their consistent behavior in this regard and their ability to convince subordinates to acknowledge their vision can all influence employee job satisfaction.” ([30], p. 105).

The problem of overlapping can also be found in the conceptualization of IPO models, where team aspects often cannot be clearly categorized as input or process (e.g. in some models leadership is used as an input variable and in others as a process variable). It can be assumed that there are interaction effects between input and process variables [96]. In our case, the IPO models only consider a linear path from organizational culture to interprofessional teamwork, but there could also be feedback loops or effects the other way around [97]. For example, Aydin and Ceylan stated “that employee satisfaction and customer orientation has a mid-level effect on creating a substantial organizational culture” ([98], p. 1203).

Moreover, studies in health care often only focus on nurses [30] or physicians [97] and not on the interprofessional team. The health care professionals often differ in their culture, which is a barrier for effective interprofessional teamwork [99–104]. Breaking down health care professional silos (see e.g. [8, 103]) or rather working on a common culture helps to improve interprofessional teamwork as well as job satisfaction. Longitudinal intervention studies are needed to prove this assumption.

In order to consider German culture, we did not translate an existing instrument, but took an existing German instrument (the Corporate Culture Scale - Short Form (CCS-SF) by Jöns et al. [70]), adapted it to the interprofessional clinical context and validated it [72]. Although a range of instruments are globally accessible, to the best of our knowledge the HCQ is the first questionnaire specifically developed for measuring organizational or rather clinical culture in an interprofessional health care context in Germany. Instruments in health care often focus on selected aspects such as safety culture (e.g. [105]). HCQ focuses thereby on the main quality aspects, such as patient-, staff-, and quality-centeredness of clinics. Scott et al. [45] stated that there is no ideal instrument; they all have their limitations.

The study results confirm our recommendation to focus more on organizational aspects of the clinics such as structure, strategy and leadership in order to improve effectiveness and efficiency. It is known from several studies that good interprofessional teamwork and job satisfaction are essential preconditions for high quality care and clinical effectiveness [26, 35, 106, 107]. Ramanujam and Rousseau summarized this very appropriately: “The challenges are organizational and not just clinical” ([107]; p. 811) and described that thinking “organizationally has powerful implications for health care organizations” [p. 823], because the staff and the teams are embedded in an organization which impacts their behavior, the teamwork, etc. [94].

Limitations and strengths

The study has methodological limitations. The generalizability of the results for all in-patient medical rehabilitation clinics in Germany is limited because we only covered 15 clinics in southwest Germany, and the questionnaire return rate was below 50 %, which was stated as acceptable by Bungard and Jöns [108]. Yet, our rate of 42 % is fairly good in comparison with other studies in health care, where the average return rate for employee surveys was between 30 and 50 % [28, 109]. Due to the voluntary participation of the clinics as well as the clinic staff, selection effects are likely to have occurred. It can be assumed that motivated clinics and staff were more likely to participate. The representativeness of our sample remains an open issue, as we did not obtain background data about the staff in the clinics (e.g., team composition, gender and age).

The medium to high correlations of the constructs could be the result of overlapping constructs [63, 70, 110] and of common-method bias [111]. We also rely on self-reported data, potentially giving rise to single-source bias. Furthermore, the study’s design is cross-sectional and hence does not allow for a causal interpretation of the relationships found in the predictive model. Longitudinal or intervention studies should be conducted to examine the causality of the proposed relationships. Despite the low indicator reliability (≤.4) [79] of three items (see Table 5: items ‘patient-oriented’, ‘quick decision making’ and ‘agreements’), we did not eliminate them from the model in the SEM because we wanted to retain the contents.

However, the study also possesses some specific strengths. It is a multi-center study, and it confirmed with a good model fit, a theory-based model designed on the basis of the IPO model. To our knowledge, no other study has been published on this issue in an interprofessional health care context. In general, few studies focus on organizational factors in health care organizations. Germany in particular is lacking in this field. The study therefore delivers results in a research field where empirical findings are rather rare [66]. The mediation of the effect of organizational behavior on job satisfaction through interprofessional teamwork in health care organizations has not been tested before. Further studies should investigate the constructs and their interdependence in a more differentiate manner.

Conclusions

With regard to practical implications of the results, managers of health care organizations are advised to increase their awareness concerning the importance of good organizational culture and interprofessional teamwork. Furthermore, the implementation of team development interventions can be recommended and should be supported. Any such intervention should be tailored to the needs of the teams, and further research should evaluate these interventions to find evidence-based best practices. The evaluation of these interventions should rely on a set of different assessment methods. It is desirable to put more weight on behavior, which might be assessed through observation and it would be interesting to consider additional economic and outcome parameters on the patient side (e.g., treatment success and patient satisfaction). In order to combine organizational, team and patient data, the multi-level-approaches are the state of the art. Our study results underpin the importance of investigating the characteristics and effects of working conditions in health care facilities more comprehensively. The study is a foundation for further longitudinal intervention studies and multi-level approaches.

Abbreviations

AVE:

Average variance extracted

CFI:

Comparative Fit Index

CR:

Critical ratio

df:

Degree of freedom

FR:

Factor reliability

IPS:

Internal Participation Scale

IR:

Indicator reliability

MAR:

Missing at random

M.I.:

Modification indices

M:

Mean value

RMSEA:

Root Mean Square Error of Approximation

SD:

Standard deviations

SEM:

Structural equation modeling

TLI:

Tucker-Lewis index

X 2 :

Chi-Squared value

X2/df:

Normed Chi-Squared value

References

  1. Bridges DR, Davidson RA, Odegard PS, Maki IV, Tomkowiak J. Interprofessional collaboration: three best practice models of interprofessional education. Med Educ Online. 2011;16:6035.

    Article  Google Scholar 

  2. Gerdes N, Zwingmann C, Jäckel WH. The system of rehabilitation in Germany. In: Jäckel W, Bengel J, Herdt J, editors. Research in Rehabilitation. Results from a Research Network in Southwest Germany. Stuttgart: Schattauer; 2006. p. 3–19.

    Google Scholar 

  3. Braithwaite J, Westbrook M, Nugus P, Greenfield D, Travaglia J, Runciman W, et al. A four-year, systems-wide intervention promoting interprofessional collaboration. BMC Health Serv Res. 2012;12:99.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Salas E, Sims DE, Burke CS. Is there a 'Big Five' in Teamwork? Small Gr Res. 2005;36:555–99.

    Article  Google Scholar 

  5. Canadian Interprofessional Health Collaborative. A national interprofessional competency framework. http://www.cihc.ca/files/CIHC_IPCompetencies_Feb1210.pdf

  6. Xyrichis A, Lowton K. What fosters or prevents interprofessional teamworking in primary and community care? A literature review. Int J Nurs Stud. 2008;45:140–53.

    Article  PubMed  Google Scholar 

  7. Gibbon B, Watkins C, Barer D, Waters K, Davies S, Lightbody L, et al. Can staff attitudes to team working in stroke care be improved? J Adv Nurs. 2002;40:105–11.

    Article  PubMed  Google Scholar 

  8. World Health Organization. Framework for Action on Interprofessional Education & Collaborative Practice. Health Professions Networks Nursing & Midwifery, Human Resources for Health. [http://whqlibdoc.who.int/hq/2010/WHO_HRH_HPN_10.3_eng.pdf]

  9. McGrath JE. Social psychology, a brief introduction. New York: Holt, Rinehart and Winston; 1964.

    Google Scholar 

  10. Gladstein DL. Groups in Context: A Model of Task Group Effectiveness. Admin Sci Quart. 1984;29:499–517.

    Article  Google Scholar 

  11. Kauffeld S, Schulte E. Teams und ihre Entwicklung. In: Kauffeld S, editor. Arbeits-, Organisations- und Personalpsychologie. Für Bachelor. Berlin, Heidelberg: Springer Berlin Heidelberg; 2011. p. 143–60.

    Chapter  Google Scholar 

  12. Körner M. Analysis and development of multiprofessional teams in medical rehabilitation. Teamanalyse und Teamentwicklung in multiprofessionellen Teams in der medizinischen Rehabilitation. GMS Psychosoc Med. 2008;5:Doc01.

    PubMed  PubMed Central  Google Scholar 

  13. Körner M. Teamanalyse und Teamentwicklung in der medizinischen Rehabilitation. Dissertation. Regensburg: Roderer; 2006. Rehabilitationswissenschaften, Rehabilitationspsychologie, Rehabilitationsmedizin, vol. 12.

    Google Scholar 

  14. Lemieux-Charles L, McGuire WL. What Do We Know about Health Care Team Effectiveness? A Review of the Literature. Med Care Res Rev. 2006;63:263–300.

    Article  PubMed  Google Scholar 

  15. Rv D, West MA. Teamwork, Teamdiagnose, Teamentwicklung. Göttingen: Hogrefe; 2005 [Praxis der Personalpsychologie, vol. 8].

    Google Scholar 

  16. Xyrichis A, Ream E. Teamwork: a concept analysis. J Adv Nurs. 2008;61:232–41.

    Article  PubMed  Google Scholar 

  17. Mathieu J, Maynard MT, Rapp T, Gilson L. Team Effectiveness 1997–2007: A Review of Recent Advancements and a Glimpse Into the Future. J Manage. 2008;34:410–76.

    Google Scholar 

  18. Mathieu JE, Heffner TS, Goodwin GF, Salas E, Cannon-Bowers JA. The influence of shared mental models on team process and performance. J Appl Psychol. 2000;85:273–83.

    Article  CAS  PubMed  Google Scholar 

  19. Bosch M, Faber MJ, Cruijsberg J, Voerman GE, Leatherman S, Grol RPTM, et al. Review Article: Effectiveness of Patient Care Teams and the Role of Clinical Expertise and Coordination. Med Care Res Rev. 2009;66:5–35.

    Article  Google Scholar 

  20. Burtscher MJ, Manser T. Team mental models and their potential to improve teamwork and safety: A review and implications for future research in healthcare. Saf Sci. 2012;50:1344–54.

    Article  Google Scholar 

  21. Kockert S, Schott T. Die Bedeutung von Organisationsmerkmalen für den Rehabilitationserfolg. Rehabilitation. 2011;19:30.e1.

    Google Scholar 

  22. Hartnell CA, Ou AY, Kinicki A. Organizational culture and organizational effectiveness: A meta-analytic investigation of the competing values framework's theoretical suppositions. J Appl Psychol. 2011;96:677–94.

    Article  PubMed  Google Scholar 

  23. Clarke DJ. Achieving teamwork in stroke units: The contribution of opportunistic dialogue. J Interprof Care. 2010;24:285–97.

    Article  PubMed  Google Scholar 

  24. Sinclair LB, Lingard LA, Mohabeer RN. What’s So Great About Rehabilitation Teams? An Ethnographic Study of Interprofessional Collaboration in a Rehabilitation Unit. Arch Phys Med Rehabil. 2009;90:1196–201.

    Article  PubMed  Google Scholar 

  25. Aiken LH, Sloane DM, Bruyneel L, van den Heede K, Sermeus W. Nurses' reports of working conditions and hospital quality of care in 12 countries in Europe. Int J Nurs Stud. 2013;50:143–53.

    Article  PubMed  Google Scholar 

  26. Chang W, Ma J, Chiu H, Lin K, Lee P. Job satisfaction and perceptions of quality of patient care, collaboration and teamwork in acute care hospitals. J Adv Nurs. 2009;65:1946–55.

    Article  PubMed  Google Scholar 

  27. Kalisch BJ, Hyunhwa L, Rochman M. Nursing staff teamwork and job satisfaction. J Nurs Manag. 2010;18:938–47.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Körner M. Interprofessional teamwork in medical rehabilitation: a comparison of multidisciplinary and interdisciplinary team approach. Clin Rehabil. 2010;24:745–55.

    Article  PubMed  Google Scholar 

  29. Robbins SP, Coulter M. Management. 11th ed. Essex: Pearson Prentice Hall.

  30. 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 

  31. Schein EH. Organizational culture. Am Psychol. 1990;45:109–19.

    Article  Google Scholar 

  32. Strasser DC, Smits SJ, Falconer JA, Herrin JS, Bowen SE. The influence of hospital culture on rehabilitation team functioning in VA hospitals. J Rehabil Res Dev. 2002;39:115–25.

    PubMed  Google Scholar 

  33. Lund DB. Organizational culture and job satisfaction. J Bus Ind Mark. 2003;18:219.

    Article  Google Scholar 

  34. Tzeng H, Ketefian S, Redman RW. The relationship of nurses' assessment of organizational culture, job satisfaction, and patient satisfaction with nursing care. Int J Nurs Stud. 2002;39:79–84.

    Article  PubMed  Google Scholar 

  35. Brazil K, Wakefield DB, Cloutier MM, Tennen H, Hall CB. Organizational culture predicts job satisfaction and perceived clinical effectiveness in pediatric primary care practices. Health Care Manage Rev. 2010;35:365–71.

    Article  PubMed  Google Scholar 

  36. King TM, Muzaffar S, George M. The role of clinic culture in implementation of primary care interventions: the case of reach out and read. Acad Pediatr. 2009;9:40–6.

    Article  PubMed  Google Scholar 

  37. Shortell SM, O'Brien JL, Carman JM, Foster RW, Hughes EF, Boerstler H, et al. Assessing the impact of continuous quality improvement/total quality management: concept versus implementation. Health Serv Res. 1995;30:377–401.

    CAS  PubMed  PubMed Central  Google Scholar 

  38. Wakefield BJ, Blegen MA, Uden-Holman T, Vaughn T, Chrischilles E, Wakefield DS. Organizational culture, continuous quality improvement, and medication administration error reporting. Am J Med Qual. 2001;16:128–34.

    Article  CAS  PubMed  Google Scholar 

  39. Jacobs R, Mannion R, Davies HTO, Harrison S, Konteh F, Walshe K. The relationship between organizational culture and performance in acute hospitals. Soc Sci Med. 2013;76:115–25.

    Article  PubMed  Google Scholar 

  40. Mannion R, Davies HTO, Marshall MN. Cultural characteristics of "high" and "low" performing hospitals. J Health Organ Manag. 2005;19:431–9.

    Article  CAS  PubMed  Google Scholar 

  41. Gifford BD, Zammuto RF, Goodman EA. The relationship between hospital unit culture and nurses' quality of work life. J Health Manage. 2002;47:13–25.

    Google Scholar 

  42. Dodek P, Cahill NE, Heyland DK. The Relationship Between Organizational Culture and Implementation of Clinical Practice Guidelines A Narrative Review. J Parenter Enteral Nutr. 2010;34:669–74.

    Article  Google Scholar 

  43. Sieveking N, Bellet W, Marston RC. Employees' views of their work experience in private hospitals. Health Serv Manage Res. 1993;6:129–38.

    CAS  PubMed  Google Scholar 

  44. Klingle RS, Burgoon M, Afifi W, Callister M. Rethinking how to measure organizational culture in the hospital setting. The Hospital Culture Scale. Eval Health Prof. 1995;18:166–86.

    Article  CAS  PubMed  Google Scholar 

  45. Scott T, Mannion R, Davies H, Marshall M. The quantitative measurement of organizational culture in health care: a review of the available instruments. Health Serv Res. 2003;38:923–45.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Stock RD, Reece D, Cesario L. Developing a Comprehensive Interdisciplinary Senior Healthcare Practice. J Am Geriatr Soc. 2004;52:2128–33.

    Article  PubMed  Google Scholar 

  47. Wagner EH, Bennett SM, Austin BT, Greene SM, Schaefer JK, Vonkorff M. Finding common ground: Patient-centeredness and evidence-based chronic illness care. J Altern Complement Med. 2005;11:S7.

    Article  PubMed  Google Scholar 

  48. Schaefer J, Davis C. Case management and the chronic care model: a multidisciplinary role. Lippincotts Case Manag. 2004;9:96–103.

    Article  PubMed  Google Scholar 

  49. Körner M, Wirtz MA. Development and psychometric properties of a scale for measuring internal participation from a patient and health care professional perspective. BMC Health Serv Res. 2013;13:374.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Thylefors I, Persson O, Hellström D. Team types, perceived efficiency and team climate in Swedish cross-professional teamwork. J Interprof Care. 2005;19:102–14.

    Article  PubMed  Google Scholar 

  51. Quaschning K, Körner M, Wirtz M. Analyzing the effects of shared decision-making, empathy and team interaction on patient satisfaction and treatment acceptance in medical rehabilitation using a structural equation modeling approach. Patient Educ Couns. 2013;91:167–75.

    Article  PubMed  Google Scholar 

  52. O'Leary KJ, Sehgal NL, Terrell G, Williams MV. Interdisciplinary teamwork in hospitals: A review and practical recommendations for improvement. J Hosp Med. 2012;7:48–54.

    Article  PubMed  Google Scholar 

  53. Manser T. Teamwork and patient safety in dynamic domains of healthcare: a review of the literature. Acta Anaesthesiol Scand. 2009;53:143–51.

    Article  CAS  PubMed  Google Scholar 

  54. Salas E, Gregory ME, King HB. Team training can enhance patient safety–the data, the challenge ahead. J Comm J Qual Patient Saf. 2011;37:339–40.

    Google Scholar 

  55. Körner M. Mental strain among staff at medical rehabilitation clinics in Germany. GMS Psychosoc Med. 2011;8.

  56. Poulton BC, West MA. The determinants of effectiveness in primary health care teams. J Interprof Care. 1999;13:7–18.

    Article  Google Scholar 

  57. Grumbach K, Bodenheimer T. Can health care teams improve primary care practice? JAMA. 2004;291:1246–51.

    Article  CAS  PubMed  Google Scholar 

  58. Pryor J. Co-ordination of patient care in inpatient rehabilitation. Clin Rehabil. 2003;17:341–6.

    Article  PubMed  Google Scholar 

  59. Judge T, Church A. Job satisfaction: Research and practice. In: Cooper C, Locke E, editors. Industrial and organizational psychology: Linking theory with practice. Oxford: Blackwell; 2000. p. 166–98.

    Google Scholar 

  60. Locke E. The nature and causes of job satisfaction. In: Dunnette M, editor. Handbook of industrial and organizational psychology. Chicago: Rand McNally; 1976. p. 1297–349.

    Google Scholar 

  61. Campion MA, Medsker GJ, Higgs AC. Relations between work group characteristics and effectiveness: Implications for designing effective work groups. Pers Psychol. 1993;46:823–50.

    Article  Google Scholar 

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

    Article  Google Scholar 

  63. van Saane N, Sluiter JK, Verbeek J, Frings‐Dresen MH. Reliability and validity of instruments measuring job satisfaction—a systematic review. Occup Med. 2003;53:191–200.

    Article  Google Scholar 

  64. Kazanjian A, Green C, Wong J, Reid R. Effect of the hospital nursing environment on patient mortality: a systematic review. J Health Serv Res Policy. 2005;10:111–7.

    Article  PubMed  Google Scholar 

  65. Landy FJ. An Opponent Process Theory of Job Satisfaction. J Appl Psychol. 1978;63:533–47.

    Article  Google Scholar 

  66. Antoni C, Hertel G. Team processes, their antecedents and consequences: Implications for different types of teamwork. Eur J Work Organ Psy. 2009;18:253–66.

    Article  Google Scholar 

  67. Wagner EH. Chronic disease management: what will it take to improve care for chronic illness? Eff Clin Pract. 1998;1:2–4.

    CAS  PubMed  Google Scholar 

  68. Wagner EH, Austin BT, Davis C, Hindmarsh M, Schaefer J, Bonomi A. Improving chronic illness care: translating evidence into action. Health Aff (Millwood). 2001;20:64–78.

    Article  CAS  Google Scholar 

  69. World Medical Association. World Medical Association Declaration of Helsinki. Ethical principles for medical research involving human subjects. Bull World Health Organ. 2001;79:373–4.

    PubMed Central  Google Scholar 

  70. Jöns I, Hodapp M, Weiss K: Kurzskala zur Erfassung der Unternehmenskultur. Mannheimer Beiträge zur Wirtschafts- und Organisationspsychologie 2005, 3:3–10. Mannheim: Universität Mannheim, Lehrstuhl für Wirtschafts- und Organisationspsychologie. [http://psydok.sulb.uni-saarland.de/volltexte/2006/690/pdf/2005-03].

  71. Büssing A, Glaser J. Mitarbeiter- und Klientenorientierung im Gesundheitswesen. Z Arb Organ. 2003;47:222–8.

    Google Scholar 

  72. Fröhlich M. Die Klinikkultur in der medizinischen Rehabilitation. Masterarbeit: Albert-Ludwigs-Universität, Psychologie; 2013.

    Google Scholar 

  73. Valentine MA, Nembhard IM, Edmondson AC. Measuring Teamwork in Health Care Settings: A Review of Survey Instruments. Working Paper; 2012.

  74. Farin E, Meixner K, Follert P, Jäckel WH, Jacob A. Mitarbeiterzufriedenheit in Rehabilitationskliniken: Entwicklung des MiZu-Reha-Fragebogens und Anwendung in der Qualitätssicherung. Rehabilitation. 2002;41(4):258–67.

    Article  CAS  PubMed  Google Scholar 

  75. Schafer JL, Graham JW. Missing data: Our view of the state of the art. Psychol Methods. 2002;7:147–77.

    Article  PubMed  Google Scholar 

  76. Kline RB. Principles and practice of structural equation modeling. New York: Guilford Press; 2005. p. 59.

    Google Scholar 

  77. Bentler PM. Comparative fit indexes in structural models. Psychol Bull. 1990;107:238–46.

    Article  CAS  PubMed  Google Scholar 

  78. Fornell C, Larcker DF. Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. J Mark Res. 1981;18:39–50.

    Article  Google Scholar 

  79. Hair JF. Multivariate data analysis: a global perspective. Upper Saddle River: Prentice Hall; 2010.

  80. Bollen KA. Structural equations with latent variables. New York: Wiley; 1989.

  81. Kline RB. Promise and pitfalls of structural equation modeling in gifted research. In: Thompson B, Subotnik RF, editors. Methodologies for conducting research on giftedness. Washington, DC, US: American Psychological Association; 2010. p. 147–69.

    Chapter  Google Scholar 

  82. Fornell C, Larcker DF. Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. J Mark Res. 1981;18:382–8.

    Article  Google Scholar 

  83. Curral LA, Forrester RH, Dawson JF, West MA. It's what you do and the way that you do it: Team task, team size, and innovation-related group processes. Eur J Work Organ Psy. 2001;10:187–204.

    Article  Google Scholar 

  84. Porter COLH. Goal Orientation: Effects on Backing Up Behavior, Performance, Efficacy, and Commitment in Teams. J Appl Psychol. 2005;90:811–8.

    Article  PubMed  Google Scholar 

  85. Stewart GL, Barrick MR. Team Structure and Performance: Assessing the Mediating Role of Intrateam Process and the Moderating Role of Task Type. Acad Manage J. 2000;43:135–48.

    Article  Google Scholar 

  86. Schein EH. Unternehmenskultur: Ein Handbuch für Führungskräfte. Frankfurt: Campus-Verlag; 1995.

  87. Jacobs E, Roodt G. Organisational culture of hospitals to predict turnover intentions of professional nurses: research. Health SA Gesondheid. 2008;13:63–78.

    Article  Google Scholar 

  88. Brennan SE, Bosch M, Buchan H, Green SE. Measuring team factors thought to influence the success of quality improvement in primary care: a systematic review of instruments. Implement Sci. 2013;8:20.

    Article  PubMed  PubMed Central  Google Scholar 

  89. Deneckere S, Euwema M, Lodewijckx C, Panella M, Mutsvari T, Sermeus W, et al. Better interprofessional teamwork, higher level of organized care, and lower risk of burnout in acute health care teams using care pathways: a cluster randomized controlled trial. Med Care. 2013;51:99–107.

    Article  PubMed  Google Scholar 

  90. Bleakley A, Boyden J, Hobbs A, Walsh L, Allard J. Improving teamwork climate in operating theatres: The shift from multiprofessionalism to interprofessionalism. J Interprof Care. 2006;20:461–70.

    Article  PubMed  Google Scholar 

  91. Reeves S, Zwarenstein M, Goldman J, Barr H, Freeth D, Koppel I, et al. The effectiveness of interprofessional education: Key findings from a new systematic review. J Interprof Care. 2010;24:230–41.

    Article  PubMed  Google Scholar 

  92. Benson A. Creating a culture to support patient safety. The contribution of a multidisciplinary team development programme to collaborative working. Teamorientierte Zusammenarbeit. Z Evid Fortbild Qual Gesundhwes. 2010;104:10–7.

    Article  PubMed  Google Scholar 

  93. Körner M, Bütof S, Müller C, Zimmermann L, Becker S, Bengel J: Interprofessional Teamwork and Team Interventions in Chronic Care: A Systamtic Review. J Interprof Care, accepted.

  94. Bosch M, Dijkstra R, Wensing M, van der Weijden T, Grol R. Organizational culture, team climate and diabetes care in small office-based practices. BMC Health Serv Res. 2008;8:180.

    Article  PubMed  PubMed Central  Google Scholar 

  95. Meterko M, Mohr DC, Young GJ. Teamwork culture and patient satisfaction in hospitals. Med Care. 2004;42:492–8.

    Article  PubMed  Google Scholar 

  96. Ilgen DR, Hollenbeck JR, Johnson M, Jundt D. Teams in Organizations: From Input-Process-Output Models to IMOI Models. Annu Rev Psychol. 2005;56:517–43.

    Article  PubMed  Google Scholar 

  97. Zazzali JL, Alexander JA, Shortell SM, Burns LR. Organizational Culture and Physician Satisfaction with Dimensions of Group Practice. Health Serv Res. 2007;42:1150–76.

    Article  PubMed  PubMed Central  Google Scholar 

  98. Aydin B, Ceylan A. What is the joint effect of employee satisfaction and customer orientation on the organizational culture in metalworking manufacturing? Int J Hum Resour Man. 2011;22:1203–15.

    Article  Google Scholar 

  99. Braithwaite J. Between-group behaviour 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 

  100. Delva D, Jamieson M, Lemieux M. Team effectiveness in academic primary health care teams. J Interprof Care. 2008;22:598–611.

    Article  PubMed  Google Scholar 

  101. Hall P. Interprofessional teamwork: Professional cultures as barriers. J Interprof Care. 2005;19:188–96.

    Article  PubMed  Google Scholar 

  102. Körner M, Göritz A, Bengel J. Healthcare professionals’ evaluation of interprofessional teamwork and job satisfaction. Evaluation of teamwork and job satisfaction. Int J Health Prof. 2014;1:5–12.

  103. Margalit R, Thompson S, Visovsky C, Geske J, Collier D, Birk T, et al. From professional silos to interprofessional education: campuswide focus on quality of care. Qual Manage Health Care. 2009;18:165–73.

    Article  Google Scholar 

  104. Pecukonis E, Doyle O, Bliss DL. Reducing barriers to interprofessional training: Promoting interprofessional cultural competence. J Interprof Care. 2008;22:417–28.

    Article  PubMed  Google Scholar 

  105. Hammer A, Ernstmann N, Ommen O, Wirtz M, Manser T, Pfeiffer Y, et al. Psychometric properties of the Hospital Survey on Patient Safety Culture for hospital management (HSOPS_M). BMC Health Serv Res. 2011;11:165.

    Article  PubMed  PubMed Central  Google Scholar 

  106. Scott T, Mannion R, Davies HTO, Marshall MN. Implementing culture change in health care: theory and practice. Int J Qual Health Care. 2003;15:111–8.

    Article  PubMed  Google Scholar 

  107. Ramanujam R, Rousseau DM. The challenges are organizational not just clinical. J Organiz Behav. 2006;27:811–27.

    Article  Google Scholar 

  108. Bungard W, Jöns I. Mitarbeiterbefragung: Ein Instrument des Innovations- und Qualitätsmanagements. Weinheim: Psychologie Verlags Union; 1997 [Arbeits- und Organisationspsychologie in Forschung und Praxis, Band 10].

    Google Scholar 

  109. Milch W, Ernst R, Laubach W. Kooperation und Arbeitszufriedenheit im pflegerisch-ärztlichen Team. Eine Analyse pflegerischer Bewertungen in der Psychiatrie. Psychiatr Prax 1999;26:122–127.

  110. Ginevičius R, Vaitkūnaite V. Analysis of organizational culture dimensions impacting performance. J Bus Econ Manag. 2006;7:201–11.

    Google Scholar 

  111. Podsakoff PM, Mackenzie SB, Lee J, Podsakoff NP. Common method biases in behavioral research: A critical review of the literature and recommended remedies. J Appl Psychol. 2003;88:879–903.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The study is part of the German grant program “Chronic illness and patient orientation” and is supported by the German Federal Ministry of Research and Education and the German Statutory Pension Insurance Scheme (Funding Number: 01GX0720, Funding Period: April 2008 to August 2011).

We would like to thank all patients and health care professionals in the rehabilitation clinics who supported the study (AOK-Klinik Korbmattfelsenhof, AOK-Klinik Stoeckenhoefe, Asklepios Triberg, DAK-Haus Schwaben, Klinik Bad Herrenalb GmbH, Kliniken Dr. Voetisch, Kurpark-Klinik, Neurologisches Rehabilitationszentrum Quellenhof, Rehabilitationsklinik Birkenbuck, Rehabilitationsklinik Gloecklehof, Rehabilitationsklinik St. Landelin, Reha-Zentrum Todtmoos, Rheintalklinik, Rehabilitationsklinik Hoehenblick, Therapiezentrum Muenzesheim). The authors also acknowledge the research assistance of Anne-Kathrin Steger und Heike Ehrhardt.

Author information

Authors and Affiliations

  1. Medical Psychology and Medical Sociology, University of Freiburg, Hebelstr. 29, 79104, Freiburg, Germany

    Mirjam Körner

  2. Department of Research Methods, Institute of Psychology, University of Education Freiburg, Kunzenweg 21, 79117, Freiburg, Germany

    Markus A. Wirtz

  3. Department of Rehabilitation Psychology and Psychotherapy, Institute of Psychology, University of Freiburg, Engelbergerstr. 41, 79085, Freiburg, Germany

    Jürgen Bengel

  4. Department of Occupational and Consumer Psychology, Institute of Psychology, University of Freiburg, Engelbergerstr. 41, 79085, Freiburg, Germany

    Anja S. Göritz

Authors
  1. Mirjam Körner
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Markus A. Wirtz
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jürgen Bengel
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Anja S. Göritz
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mirjam Körner.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contribution

MK defined the design of the study, collected the data, analysed and interpreted the data and prepared the first draft of the manuscript. MW contributed to the design, the data analysis, and the interpretation of the data. JB supported the application for the grant, supervised the study and the manuscript, and revised the manuscript. AG contributed to the interpretation of the results in the discussion section and revised the manuscript. All authors discussed the results, read and approved the final manuscript.

Authors’ information

Dr. Mirjam Körner (MK) Department of Medical Psychology and Medical Sociology, Medical Faculty, University of Freiburg, Germany; Mail: mirjam.koerner@mps.uni-freiburg.de

Prof. Dr. Markus Wirtz, Department of Research Methods, Institute of Psychology, University of Education Freiburg, Germany; Mail: markus.wirtz@ph-freiburg.de

Prof. Dr. Dr. Jürgen Bengel, Department of Rehabilitation Psychology and Psychotherapy, Institute of Psychology, University of Freiburg, Germany; Mail: juergen.bengel@psychologie.uni-freiburg.de

Prof. Dr. Anja S. Göritz, Department of Occupational and Consumer Psychology, Institute of Psychology, Germany, Mail: goeritz@psychologie.uni-freiburg.de

Additional file

Additional file 1:

The hospital culture questionnaire.

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Körner, M., Wirtz, M.A., Bengel, J. et al. Relationship of organizational culture, teamwork and job satisfaction in interprofessional teams. BMC Health Serv Res 15, 243 (2015). https://doi.org/10.1186/s12913-015-0888-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12913-015-0888-y

Keywords

  • Organizational culture
  • Teamwork
  • Job satisfaction
  • Hospital
  • Health care

BMC Health Services Research

ISSN: 1472-6963

Contact us