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How do national cultures influence lay people’s preferences toward doctors’ style of communication? A comparison of 35 focus groups from an European cross national research

BMC Public Health volume 15, Article number: 1239 (2015) Cite this article

Abstract

Background

The evidence that inspires and fosters communication skills, teaching programmes and clinical recommendations are often based on national studies which assume, implicitly, that patients’ preferences towards doctors’ communication style are not significantly affected by their cultural background. The cross-cultural validity of national results has been recognized as a potential limitation on how generally applicable they are in a wider context. Using 35 country-specific focus group discussions from four European countries, the aim of the present study is to test whether or not national cultures influence lay people’s preferences towards doctors’ style of communication.

Methods

Lay people preferences on doctor’s communication style have been collected in Belgium, the Netherlands, the United Kingdom and Italy. Each centre organized between eight and nine focus groups, where participants (n = 259) were asked to comment on a video of a simulated medical interview. The discussions were audiotaped, transcribed and coded using a common framework (Guliver Coding System) that allowed for the identification of different themes.

Results

The frequency distribution of the topics discussed highlights lay people’s generally positive views towards most part of doctors interventions. The regression model applied to the Guliver categories highlighted slight national differences and the existence of a cross-cultural appreciation, in particular, of five types of intervention: Doctors attitudes (both Task-Oriented and Affective/Emotional), Summarizing, Structuring and Providing solution.

Conclusion

Lay panels valued doctors’ communication style in a similar manner in the countries selected. This highlights the existence of a common background, which in the process of internationalization of heath care, might foster the implementation of cross-national teaching programmes and clinical guidelines.

Peer Review reports

Background

The long-lasting and multifaceted phenomenon of internationalization of heath care, has led to the development of an increasing number of educational courses that targeted at international clientele and has promoted the dissemination of cross-national medical curricula [1]. In a similar way, clinical practice has also started to implement worldwide guidelines in healthcare delivery [2]. The evidences that inspire and foster these teaching programmes and clinical recommendations, are often based on national studies. Papers are written from the implicit assumption that there are no significant differences between countries in the way doctors and patients relate to each other. However, it is unclear whether this is a valid approach. For example, a partnership doctor-communication style, that is thought appropriate in most of Western medical schools and generally advocated by Western patients in their contacts with doctors, appears to be quite difficult to apply in a South-East Asian culture. There conflict avoidance and accepted social differences leads to a one-way, paternalistic, doctors’ style of communication prevailing [3]. How far the results from such single-country studies can be transferred and how applicable these results are in other countries is hardly ever discussed as a potential limitation of the reported studies. This leads to concerns about the quality and the trans-cultural consistency of the existing evidence. Several studies have demonstrated systematic and relevant differences between countries in medical communication [4–7]. Patients’ ethnic/cultural background -meant here as the expression of belonging to a specific ethnic group - [8, 9], or their linguistic proficiency [10], have been demonstrated to have an impact on clinical outcomes and patients’ expectations. Cross-national differences in doctor-patient communication have been attributed to the characteristics of the health care system, in particular GP’s gatekeeping role [11], or to cultural difference [12]. Among the key predictors of communication factors related to culture suggested by Schouten [13], is the Hofstede model [14, 15]. It is one of the most frequently used to highlight differences in cultural values, as it enables a quantification of the dimensions that characterize this complex concept. Hofstede’s theory on national cultures, identifies four culture dimensions: power distance (PDI), uncertainty avoidance (UAI), individualism verses collectivism (IDV), masculinity verses femininity (MAS), later supplemented with a fifth dimension: long term vs short term orientation (LTO) [15].

In the present study this model will be applied in order to interpret national differences in the preferences regarding doctor’s behaviour when communicating. These were expressed by lay people in 35 country-specific focus groups, in four different European countries, Belgium, the Netherlands, United Kingdom and Italy. The immediate purpose of the study is to test whether or not cross-national differences exist. These relate both in terms of favorite topics, because they are most frequently discussed, and preferences relating to doctors’ communication performances. The ultimate aim is to provide evidence on how applicable results from single-country studies on doctor-patient communication are to other countries.

In particular the research questions explored are as follows:

  1. 1.

    Which are the similarities and differences between lay focus groups, by country, in the issues and topics raised during the discussions with regard to doctors’ performance in communication?

  2. 2.

    Which are the similarities and differences between lay focus groups, by country, in the preferences expressed regarding doctors’ performance in communication?

Data and methods

Participating countries

The international multicentre study draws its name (Guliver) from the four centres involved: Gent University (Belgium), Utrecht University/NIVEL (the Netherlands), Liverpool University (United Kingdom) and the University of Verona (Italy).

Figure 1 shows some of the variables that describe the cultural background of the four countries from different perspectives, like Hofstede’s dimensions and geographic region.

Fig. 1
figure1

Cultural Background [15] and Health Care System [16] indicators in the four participating countries

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Regarding the geographical location of the enrolled nations, although none of them is located in the Eastern Europe, the other three macro-regions (North, West and South) are present, assuring a wide variety of cultural backgrounds. As suggested by previous studies [11, 16, 17], health care public funding, quality of primary care and general practitioners gatekeeping role have been also reported in the table as possible moderator variables. These may effect modulate lay peoples’ preferences and expectations towards doctor-patient communication. In Italy and the UK, the National Health Service is based on Beveridge model [17] in which health care is provided and financed by the government through tax payments. The Netherlands and Belgium follow another model, named Bismarckmodel [17] that uses an insurance system with different health cost insurers who offer slightly different types of insurance packages.

Panel sample

A sample of 259 participants was recruited from the general population. This was balanced by a number of factors. Firstly, age, so that at least two persons were in the classes 18–30, 31–49 and >50 years of age, for a total of 6–8 participants, in order to guarantee a heterogeneous distribution in each group. Secondly, gender, with 117 males and 142 females. Finally there was a country balance with 64 in the Netherland, 72 in Italy, 75 in UK and 48 in Belgium.

The overall sample presented a satisfactory mixture of socio-demographic characteristics: marital status (45 % married, 44 % single, other 11 %); education (13 % primary, 40 % secondary, 47 % higher school); and, occupation (57 % employed, 20 % student, 5 % unemployed, 4 % unable to work through disability, 14 % housewife/retired). The frequency distribution of these variables within each country, shows statistically significant differences in the education level (X2 23.4 df = 6; higher school range: 36–60 % respectively for IT and UK) and occupational status (X2 58.24 df = 12; employed: 29–87 % respectively for NL and UK). More details of the participants sample clinical characteristics are reported elsewhere [18]. Recruitment took place in public areas, via calls in free local newspaper and by word of mouth. The protocol was approved by the Medical Education Research Ethics Committee of the University of Liverpool. The written informed consent of the participants was obtained in all four countries.

Study design and focus groups

Figure 2 illustrates the study design. A set of 35 focus group discussions (nine for each country, except Belgium with eight) were conducted following the same procedures, according to a detailed protocol [19]. Participants attended a 1-day-meeting where they watched four videotaped consultations and carried out different tasks [19]. The videotapes were standardized medical OSCE (Objective Structured Clinical Examination) consultations, in which eight different 4th year medical students from Liverpool Medical School -from now on called ‘doctors’- were assessed during their final examination. Consultations lasted on average 10 min. The maximum variation in the quality of doctors communication, was guaranteed by the combination of simulated patient ratings on a 10-point Likert scale (Global Simulated Patient Rating Scale, GSPRS) and examiners’ assessments on a checklist that included pre-established expert defined abilities defined by experts (Liverpool Communication Skills Assessment Scale, LCSAS). Two different scenarios were used, both about gynaecological problems associated with high levels of emotional distress. One was vaginal discharge related to unsafe sex- a Sexually Transmitted Disease (STD), the other was menstrual period pain (PP). As previously stated, participants were balanced by gender, anyway in order to encourage the free expression of opinions given the “gender sensitive” health problems shown in the videos, they attended gender specific focus groups.

Fig. 2
figure2

Flow chart of the study design: participants allocation to the focus groups and selected statements according to the research questions

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As a prompt for the focus group discussion, participants watched four videos, based on the same scenario, in which the quality of doctors’ communication varied according to different scores of GPRS and LCSAS evaluations. Focus group discussions of 1 h followed, in which they were invited to explain their assessments from the first-round session, share their likes and dislikes regarding the doctors’ communication approach and provide underlying reasons.

Units of analysis and measures

In order to compare the qualitative data gathered through the focus group discussions, a content analysis was performed. This aimed at creating a coding system that would allow us to synthesize, and systematically organize, participants comments. The application of quantitative techniques to qualitative data, is one of the possible use of the Mixed-Method approach [20, 21].

Each centre adopted the same set of systematic and transparent procedures for arranging and processing the raw data in order to obtain valid and reliable inferences [18]. The researchers from each centre, two from the Netherlands (J.B., L.V), three from Italy (F.M., M.R., G.D.), and one from the UK (I.F), applied an inductive content analysis of a selected set of focus group discussions. These were previously videotaped, transcribed and translated into English by researchers, who are all fluent in the English language, and checked by a native speaker. This was in order to derive a common coding framework (“Guliver coding system”) with which to classify each participant’s statement. Details about the inter-rater reliability have been published elsewhere [18].

The resulting coding system, is divided into three levels, the area, category and sub-category, to which each statement has to refer. Specific examples of the Guliver coding system categories selected in the present paper are provided in an Appendix.

When a judgment was expressed in a participants’ comment, its value was coded as positive, negative or neutral. Figure 2 indicates the variables on which the analysis have been performed in order to answer each research question.

All the focus group transcripts have been coded in their original language and also translated into English in order to make them accessible to researchers in all four centres.

Statistical analyses

The analyses have been performed at the category level of the Guliver coding system in order to have a sufficient sample size in the comparisons between countries (Table 1 shows the consistency of the cells at the third level of classification – sub-category).

The exploration of the bivariate frequency distribution between content communication categories and participant nationality was performed using chi2 test and the adjusted residual analysis [22].

Two logistic regression models were estimated in order to investigate, both in terms of main effects and their interaction, the relationship between the outcome variable (positive and negative participant specific judgments) and the two independent ones which are, Guliver categories and participants’ country. Since the two independent variables are categorical, a reference category was needed for each of them; therefore Collecting information was the reference category for the coding system and the Netherlands for the country. The coefficients estimated by the models were expressed according to the odds ratio interpretative approach [23]. Therefore in the first model the main effects were expressed in terms of OR (that inform on the odds of positive statements of each category in relation to a specific reference category); while the interaction effects estimated in the second model were expressed in terms of odds (that indicate the increase of positive comments for each negative produced - calculated using Margins and Marginsplot STATA commands). This methodological choice was taken in order to facilitate the interpretation of the results.

To take into account the nested structure of the study design – repeated measures within participants – the cluster option of STATA commands, was adopted in the regression models.

A count of the frequency of positive and negative statements at the level of sub-category will be provided to describe better the results obtained.

All the analysis were performed using STATA13.0 [24].

Results

All the participants comments, stratified by judgment value (positive, neutral and negative), content (Guliver coding system – sub-category level) and country are listed in Table 1.

Table 1 Frequency distribution of participants’ positive, neutral and negative judgments by category and sub-category
Full size table

Cross-national similarities and differences in the issues and topics raised during the focus group discussions

Table 2 shows the frequency distributions of focus groups comments in different countries and evidence that participants of all countries talked most about the doctors’ attitudes. Overall, about half of the comments addressed the Task Oriented (24 %) or, Affective-Oriented attitudes (27 %). The other half was focused largely on specific communication behaviours such as Structuring (13 %), Collecting information (9 %) and Non-verbal behaviour (8 %).

Table 2 Percentage frequency distribution of participant statements by country. Underlined percentage frequency showed a relevant adjusted residual (based on difference between observed and expected frequency)
Full size table

National differences emerge in the comparison among countries regarding the issues and topics raised during the discussions (X2 test = 179.61, df 27; p < 0.01). The exploration based on the adjusted residuals allows for the identification of categories that are specifically prevalent in one of the participating countries. This is indicated by a positive gap between the observed and the expected frequencies.

Cross-national similarities emerged in the four countries during the discussion of the categories. These were: Non-verbal behaviour (especially the sub-category of Other Behaviours and Reading and writing -see Table 1); Giving information (especially the sub-category, Medical,); Patient involvement, (in particular the sub-category Sharing plans or ideas); and Summarizing.

Two topics received particular attention in the Dutch sample: Speaking peculiarities (6 %- in particular Repetition) and Collecting information (12 %- mainly due to Biopsychological)., Affective-oriented attitudes (32 %)were frequently discussed among the Italian sample, in particular Showing interest Reassuring, Inviting attitude and Facilitating. UK citizens devoted more space to doctors’ Task-oriented attitudes (28 %), in particular the sub-categories Competency and Self-confident. Finally, the Belgian group talked more than the other countries about Structuring (17 %), especially those interventions labelled as Flexibility and Time issues.

Cross-national similarities and differences in the participants’ preferences expressed during lay focus groups

The frequency distribution of positive and negative comments (Table 3) suggest the presence of a general appreciation of the majority of doctors interventions. The percentage of positive comments is 87 %; range: 79–88 % for UK and BE respectively.

Table 3 Percentage of participants’ positive judgments by Guliver Coding System-category and country
Full size table

The logistic regression showed that the British sample was more critical compared to Netherlands (OR = 0.46; p < 0.05) while Italians shown a more positive attitude (OR = 2.07; p < 0.05). The results for cross-cultural positive appreciation, in particular of five types of intervention were as follows: Providing solution (OR = 5.92 p < 0.05; 95 %), Giving Information (OR = 4.08 p < 0.05; 92 %),, doctors’ attitudes (both Task-oriented OR = 7.41 p < 0.05; 96 % and Affective-oriented OR = 11.37 p < 0.05; 97 %) and Structuring (OR = 2.15 p < 0.05; 86 %). The category that resulted less appreciated was Speaking Peculiarities (OR = 0.11 p < 0.05; 28 %).

Although, analyses were limited to the category level, due to their sample size, a description of the frequency distribution of the sub-categories (Table 1), will enable a better understanding of the categories commented on above.

Focusing on the positive comments referring to Giving Information, the Medical content was particularly valued by participants (66 %; range UK 45 % and IT 86 %), among Task-oriented attitudes, Competency resulted in being the most appreciated (38 %; range UK 30 % and IT 45 %). Country specific preferences emerged among Affective-oriented attitudes: Reassurance was the most appreciated by Dutch and Belgians (29 and 26 % respectively). Italians also valued interventions that Show interest or commitment (24 %) while British subjects regarded, positively, expressions indicating a Pleasant attitude of the doctor (29 %). Finally, within the category, Structuring, which was also valued positively by panel samples, Flexibility got the highest percentage of comments (48 %; range NL 27 % and BE 67 %).

On the other hand, the negative evaluation of Speaking Peculiarities relies mainly on the sub-category Asking permission (25 % of positive comments; range IT 9 % and UK 44 %).

Alongside the above described main effects, the second logistic regression estimated the interaction between the variables category and country, in terms of odds (see Fig. 3). The plots for each category suggest that no significant differences emerged between countries, since all the confidence intervals overlapped; the only exception is for the category Structuring where British sample showed a more critical attitude compared to the Belgians (Odds UK 2.2; 95%CI: 1.1;3.3 versus Odds BE 8.8; 95%CI: 3.9;13.7). In few cases, the limited number of negative comments referred to a specific category, determined not calculable or extremely wide confidence intervals.

Fig. 3
figure3

Odds and 95 % confidence interval of each Guliver category per country

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Discussion

The study has shown more similarities than differences in positive and critical opinions expressed by our sample of European citizens. This suggests that doctors’ performance in communication is valued more or less the same in the four participating countries. Most of doctors’ communication behaviours and attitudes were commented upon positively by the whole sample, with only few exceptions. Regression analysis indicated a cross-cultural positive appreciation in particular of four types of intervention: Doctors attitudes (both Task-Oriented and Affective/Emotional), Structuring, Providing solution and Giving Information. This combination of elements embodies a balance between doctors ability in setting up an empathetic relationship (Affective-oriented attitudes) and showing competency in the solution or management of the problems and symptoms presented by the patient. Competency can be demonstrated in three ways: by interacting with the patient in a professional and self-confident manner (Task-oriented attitudes), by offering information and hopefully solutions to the problems presented (Giving Information and Providing Solutions) and by following a flexible approach (Structuring).

Hofstede’s model, and the translation of its cultural dimensions into communication styles, might offer a possible cultural explanation of this juxtaposition of communication features. All European nations here selected, scored high on the dimension ‘Individualism vs Collectivism’, which is characterized by a tendency towards autonomy and the exaltation of the individual and his personal resources and goals. In an earlier study, this dimension proved to be the most important in cross-national differences in doctor-patient communication [12]. This finding can be translated into a clinical approach that takes into account patient’s needs and that actively promotes his or her involvement in the decision-making process [12]. To boost this trend, there is also another cultural aspect that seems shared to a fair degree within our sample. This is the low score in the scale of ‘Power distance’, which denotes a validation of patient initiative and a reduction in the dominance of the doctor in the doctor-patient relationship [14]. Taking the assumption that participants moved from a common cultural background that oriented them to take an active role in the healing process, one might wonder why they choose among their favorite interventions, Giving Information or Providing solution, which can be considered directive doctor’s intervention and why Patient involvement did not result in being significantly more appreciated that other interventions.

The shift from the patient’s expectation of involvement and their acceptance of doctors’ suggestions may probably, have been made possible by the synergistic coexistence of the other four elements composing our five-point structure. Thus, patients are willing to accept solutions that come from an external source, the doctor, only to the extent that these are perceived as the fruit of a competent, flexible, empathetic and careful listening [25–27].

The wide cross-national appreciation of affective interventions does not find an immediate explanation in the scores of another Hofstede dimension usually correlated to ‘emotional expression’: Masculinity/Femininity. In this scale, the Netherlands is placed in the polarity Femininity, diverging from the other three countries with an higher grade for Masculinity. In communication terms, Masculinity is assumed to be translated in instrumental, or curing behavior, disease centred communication and biomedical talk, while Femininity is related to caring behavior [14]. In a previous study, using Hofstede’s dimensions for predicting cross-national differences in doctor-patient communication, the Masculinity-Femininity dimension also was the odd one which did not fit within the predicted pattern [12]. One possible hypothesis that might explain this absence of differences in country’s orientation towards Affective-oriented attitudes based on Hofstede scores, is that cultural differences might emerge at the micro-level of specific skills used to deliver the emotional content. Indeed, participants from the Netherlands, which has the highest scores of Femininity, often discussed Reassurance, which requires a high emotional involvement of the doctor in order to be perceived as being authentic by the patient [28]. By contrast, the UK and Italy, with higher scores in the scale of Masculinity, were, in their comments, more oriented towards Showing interest and a Pleasant attitude, which imply a lower level of personal or emotional participation by the doctor, who is asked in this case to be polite, gentle and attentive but not necessarily compassionate [29]. However, Belgium has the same tendency to Masculinity as the UK and Italy have, and yet its study participants behaved more like the Dutch did, commenting positively on the way doctors practices Reassurance.

Of course much more can be said about the impact of national cultures on how doctor and patient communicate in the medical consultation room, and what is, or is not, appreciated by people from different countries. The literature on this issue is still scarce although the pressure to internationalize paths of care and education is growing. Our results suggest that at a macro-level, citizens present quite similar preferences towards doctors’ communication styles, and therefore, teaching programmes and clinical guidelines that stick to general recommendations might not require cultural adaptations if applied in the four countries selected here.

Anyway, previous studies [3] have highlighted that the implementation of a communicative approach (i.e.partnership relationship) in different cultures (i.e. Western versus Southeast Asian), although generally acknowledged, requires adaptations when shifting to the microlevel of doctors’ specific actions carried out during the consultation, as they can have a different impact according to the nationality of the patient. In the sample here analysed, this might be the case of doctors’ affective expressions, where how far, what patients consider, a “good intervention” can be generally applicable seems to be affected by their cultural background, and consequently, a more careful approach should be followed in the implementation of cross-national clinical and educational interventions on “patient’s emotion handling”.

International comparative cross-cultural studies based on a wider range of cultural backgrounds that assess citizens’ preferences on doctors’ communication styles, according to the specific functions of the clinical encounter, would encourage the development and promotion of culturally competent health care [30–32].

Strength and weaknesses

The present study is based on a multi-centric dataset obtained through the fruitful collaboration of different international experts in the field of communication in medicine from Northern, Southern and Western Europe. The convenience sampling criteria limited the space to include Eastern countries in the study, which may have reduced the variety of cultural background represented. While these macro geographical divisions at the country level are, of course, too broad from an individual cultural perspective, it is yet important to analyze differences at the country level. This is because in Europe health care systems and medical curricula are organized at the country level. For policymakers as well as medical teachers it is therefore important to be aware of country-specific elements of lay people’s appreciation of doctor-patient communication.

Another possible weakness is that we were not able to check for focus group participants’ individual cultural differences, such as country of birth or religion. It is known from the literature that within countries, large cultural differences may exist between its inhabitants, which have a certain impact on doctor-patient communication [8, 9]. However, studying these individual differences was not the aim of the study.

A particular strength of this study is also that all participants had the same stimuli to react to, as they watched the identical set of videos, guaranteeing that the research for cultural differences is not contaminated by other frames of references.

The analogue patients methodology, treating laypeople as patient proxy, can be seen as a strength and a weakness at the same time. A strength is that it enables standardization of procedures and material so that the ratings are comparable (see also above). A possible limitation is that these participants are not the real patients of these doctors, which could hamper the ecological validity of the study. However, this particular methodology has been often applied in studies assessing patient perceptions [33, 34] and is recently validated [35, 36].

Ethical approval

The project was approved by the Medical Education Research Ethics Committee of the University of Liverpool. Informed consent of the participants was obtained in all four countries.

Conclusions

A combination of elements, emboding a balance between doctors ability in setting up an empatheticrelationship and showing competency in the management of patients’ symptoms, has been cross-culturallyvalued.Teaching programmes and clinical guidelines that stick to general recommendations, based on thiscombination of communication skills, might not require cultural adaptations if applied in the four countrieshere selected.International comparative cross-cultural studies based on a wider range of cultural backgrounds wouldencourage the development and promotion of culturally competent health care.

Abbreviations

BE:

Belgium

e.g.:

exempli gratia

GSPRS:

Global Simulated Patient Rating Scale

IDV:

individualism vs. collectivism

IT:

Italy

LCSAS:

Liverpool Communication Skills Assessment Scale

LTO:

long term vs short term orientation

MAS:

masculinity vs femininity

NL:

the Netherlands

OSCE:

Objective Structured Clinical Examination

PDI:

power distance

RQ:

research question

UAI:

uncertainty avoidance

UK:

United Kingdom

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Acknowledgments

The Clinical Skills Team, in particular dr Ian Fletcher, at The Medical School in University of Liverpool for supporting the study and assisting the recruitment and videoing of the summative examinations.

The lay panels in Gent, Utrecht, Liverpool and Verona for their committed participation in the study.

Founding

The Dutch Ministry of Health, Welfare and Sports (National Fund for Patient-Oriented Research) partly supported the study financially.

Author information

Affiliations

  1. Department of Public Health and Community Medicine, University of Verona, P.le LA Scuro 10-, 37100, Verona, Italy

    Michela Rimondini & Maria Angela Mazzi

  2. Department of General Practice and Primary Health Care, Ghent University, De Pintelaan 185 6K3, 9000, Gent, Belgium

    Myriam Deveugele

  3. NIVEL (Netherlands Institute for Health Services Research), Utrecht University, Otterstraat 118-124, 3513, CR, Utrecht, The Netherlands

    Jozien M. Bensing

  4. Faculty of Social Sciences, Utrecht University, Utrecht, The Netherlands

    Jozien M. Bensing

  5. Policlinico G.B.Rossi, UO Psicosomatica e Psicologia Clinica, P.le LA Scuro 10-, 37100, Verona, Italy

    Michela Rimondini & Maria Angela Mazzi

  6. Section of Clinical Psychology, Department of Neurological,Biomedical and Movement Sciences, University of Verona, Verona, 37100, Italy

    Michela Rimondini & Maria Angela Mazzi

Authors
  1. Michela Rimondini
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  2. Maria Angela Mazzi
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  3. Myriam Deveugele
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  4. Jozien M. Bensing
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Corresponding author

Correspondence to Michela Rimondini.

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Competing interests

We have no conflict of interest to declare.

Authors’ contributions

MR, MAM, JB have made substantial contributions to conception and design of the study and in the acquisition and interpretation of data. MAM performed the statistical analysis. MR was involved in drafting the manuscript and JB in revising it critically. MD contributed in the acquisition of data and gave final approval of the version to be published. All authors read and approved the final manuscript.

Appendix

Table 4 Appendix: Guliver Coding System categories selected for the present paper, with examples of each subcategory
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Rimondini, M., Mazzi, M.A., Deveugele, M. et al. How do national cultures influence lay people’s preferences toward doctors’ style of communication? A comparison of 35 focus groups from an European cross national research. BMC Public Health 15, 1239 (2015). https://doi.org/10.1186/s12889-015-2559-7

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Keywords

  • National culture
  • Cross-cultural patient perspective
  • Communication skills
  • Doctor-patient relationship
  • Focus groups

BMC Public Health

ISSN: 1471-2458

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