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Elderly patients’ decision-making embedded in the social context: a mixed-method analysis of subjective norms and social support



Older patients are increasingly encouraged to be actively involved but how they perceive their role in the decision-making process varies according to their health care providers and their health situation. Their role could be influenced by their social context but more specifically by subjective norms (i.e. patients’ view of the role that significant others expect them to play in the decision-making process) and perceived social support. We explore how social context (i.e. subjective norms and social support) relates to how the patient perceives their role in the decision-making process. Also, we explore the level of alignment on subjective norms between patients and their informal caregivers and nurses.


Mixed-method study among older patients, informal caregivers and nurses. For the quantitative questionnaire, a home care organisation randomly selected patients. The patients were asked to identify their informal caregiver and the home care organisation was asked to identify the nurse who was most involved in their care. In total 133 patients, 64 informal caregivers and 72 nurses were questioned. Participants for the qualitative interviews were selected using convenience sampling, resulting in the inclusion of ten patients, five informal caregivers and six nurses. Subjective norms were based on a previous study. Social support was measured with the ‘social support for health scale’ of the Health Literacy Questionnaire. The Control Preference Scale was used as outcome variable. The interviews focused on subjective norms, social support and how the patient perceived their role. Quantitative analysis included the calculation of subjective norm difference scores between respondent groups, one-way analysis of variance and multinomial logistic regression analysis. Directed content analysis was applied to the interviews using Atlas TI.


Lower difference scores were found for patient-informal caregiver dyads (mean = 0.95), implying more alignment than in patient-nurse dyads (mean = 2.12). Patients perceiving themselves to have a shared or passive role tend to believe that they are expected to leave decision-making to the health care provider. Higher social support scores related more to a shared role. Alignment relates to: familiarity with the patient’s preferences, overprotectiveness or valuing the care provider’s opinion and the severity of the patient’s medical history.


Patients and informal caregivers align on whether the patient should make decisions. The more patients believe that they are expected to leave decision-making to the health care provider, the more they perceive themselves as having a passive role. The more patients who feel they have support, the more they perceive themselves as having a shared role. Patients and caregivers could be facilitated to make role expectations explicit. Examining support resources in the social network is desirable.

Peer Review reports


Health care providers are urged to actively involve older patients in the decision-making process [1,2,3,4]. Research shows that patients vary in their degree of involvement as they take on various roles in the decision-making process [1, 2, 5,6,7,8] Some prefer to make decisions themselves, some prefer others to make decisions for them and some want to share the responsibility with others (e.g. the care provider) [1, 9].

The influence of patient characteristics (e.g. educational level) on the patients’ role in decision-making and the quality of the patient-care provider relationship have been widely studied [1, 2, 6,7,8, 10,11,12], but few studies have focused on the influence of social context on the patient’s role [13,14,15,16,17]. This is important, however, as patients are often supported in their decision-making by a closely-related companion (informal caregiver) [18,19,20,21]. In situations where patients perceive themselves to be involved, the presence of companions could affect the patient’s role in different ways, both positively and negatively. For example, companions can activate the patient and enhance their autonomy by adopting a supportive role in clarifying information [20], or hinder patients by being too dominant, causing patients to become passive and less involved than they would like [19].

Social context in relation to health is often conceived as a multifaceted construct that may be defined as “the sociocultural forces that shape people’s day-to-day experiences and that directly and indirectly affect health and behaviour” [13, 14]. These forces include organisations, such as schools or communities, and individuals, such as family or friends and both types can influence individuals’ behaviour in ways they are not always aware of [13]. This study focuses on two concepts in the second type of social forces that influence patients’ roles in the decision-making process: subjective norms and perceived social support. Subjective norms are considered a social norm and refer to the perceived support, pressure or the expectations of persons considered important, such as informal caregivers [13, 22, 23]. In practice, subjective norms lead patients to act in a way they believe is expected of them by a significant other [15]. This implies that when patients feel that they are expected to leave decision-making to the care provider, they are more likely to do so. To our knowledge, only one study has focused on subjective norms in relation to patient involvement; it shows that the patient’s subjective norms affect the patient’s involvement in the decision-making process [15].

Building on Brabers et al. [15], our study not only explores the relationship between subjective norms and the patient’s role, but also the level of alignment regarding the subjective norms between a patient and two individuals within the patient’s (care) network: the informal caregiver and home care nurse. Older patients often have an ongoing caring and trusting relationship with a nurse due to the longevity of chronic care delivery [24, 25]. This relationship makes it likely that patients’ subjective norms regarding the nurses’ expectations could influence their own perceived role in the decision-making process. We explore how patients’ expectations of how their informal caregiver or nurse think they should act aligns with the latter two individuals’ perspective on the patient’s role in the decision-making process. This is important as research on the role of family companions in consultations reveals little alignment between patients and companions regarding expectations of the patient’s role [20, 26, 27], suggesting a similar misalignment with regard to subjective norms.

The second relevant concept in this context is social support, which can be defined as “the perception or experience that one is loved and cared for, esteemed and valued, and part of a social network of assistance and mutual obligations” [28]. O’Reilly [29] defines social network as “an analytical concept, used to describe the structure and linkages between individuals or groups of individuals”. Therefore, the concept of social networks refers among others to the density and dispersion in the network [30]. This concept consists of two dimensions [29]. Firstly, the structure dimension, which includes the frequency of social contact (e.g. visiting or phoning family members) and the types of individuals in the network. Secondly, the function dimension, which refers to the social support within a network. Social support can be divided into four types: (1) emotional support (e.g. empathy and love), (2) instrumental support (i.e. the provision of tangible goods, e.g. helping a patient get to the hospital), (3) informational support (i.e. providing information, e.g. advice) and (4) appraisal support (i.e. providing information with the purpose of self-evaluation, e.g. feedback) [31].

Research on social support mainly focuses on the relationship to self-management, indicating that social support could enhance a patient’s self-confidence level to cope with their condition [32,33,34,35]. Hobbs et al. [36] looked at the relationship between social support and patient role, showing that patients perceiving high levels of social support are more likely to share in the decision-making process with family members and the care provider.

The research question of this study is: How do subjective norms and social support influence the elderly patient’s perceived role in the decision-making process?


We conducted a mixed-method study in the Netherlands. Because elderly patients may suffer from multiple chronic conditions and are in contact with many different, health care providers (e.g. general practitioners, home care nurses) [37], the types of decision and the decision-making process may vary. For that reason, we did not focus on a specific type of decision or specific type of health care provider. Rather, we broadly examine the decision-making process of elderly patients regarding their general health situation in relation to the health care providers most involved in their care.

We first surveyed a cross section of older people receiving home care from one large home care organisation, the patient’s informal caregivers and their most involved nurse. Patients were included if they were 60 years or older. Informal caregivers were family members (e.g. children), close friends or neighbours who provided non-professional, unpaid care [38].

To gain a deeper understanding of these concepts in daily life and to better understand the context of the quantitative results, we then conducted semi-structured interviews with patients, informal caregivers and nurses other than the survey respondents. The aim was to gain deeper insight into the relationships between these three groups in daily life, particularly how expectations about how a patient should act (subjective norms) and social support shape the patient’s perceived role in the decision-making process.

Quantitative data collection

Figure 1 illustrates data collection. The home care organisation randomly sampled 2000 older people and sent them an informed consent letter. The research team only contacted those who returned a signed consent form. For privacy reasons, background information on non-responders was not available to the research team.

Fig. 1
figure 1

Quantitative data collection flow chart. Flow chart of the process of quantitative data collection among patients, informal carers and home care nurses

Trained interviewers visited all the patients (older people) at home. The structured interview involved reading aloud the items and answer options of the questionnaire. Patients were asked to select one of the options and given the opportunity to elaborate on their answers, thus providing the researchers with deeper insight into the patients’ reasoning for a high or low score. All interviews were audio-taped.

Patients were asked to identify their informal caregiver and invited to forward a questionnaire for the informal caregiver to fill in, together with an information letter. In total, 94 informal caregivers received the questionnaire. The questionnaires for the nurses, including an information letter stating the name of the patient concerned, were distributed through their team leaders. In total, 114 nurses received a questionnaire, including 17 nurses who received two questionnaires and one nurse who received three questionnaires for different patients. The final sample consisted of 133 patients, 64 informal caregivers and 72 nurses.

Qualitative data collection

Convenience sampling within the researchers’ own network was used to select participants. Elderly patients are a difficult group in which to find enough participants who are willing and able to participate. Convenience sampling proved an appropriate method to find enough participants for this study. Participants were contacted in person or by telephone and informed of the study aims, asked explicitly for consent to the interview and told that they were free to withdraw from the study at any time. All participants gave their permission to use quotations from the interviews. All interviews took place at the participant’s preferred location and lasted between 30 and 60 min. A total of ten patients, five informal caregivers and six nurses were interviewed. The data collection period consisted of multiple phases and should be seen as an iterative process. In the first phase, convenience sampling was used which resulted in the conclusion of four patients, two informal caregivers and three nurses. During this phase, the interview guide was piloted. In phase two, the interview transcripts were by the primary researcher in light of the three key concepts of this study (i.e. subjective norms, social analysed support and patient’s roles in the decision-making process) using Atlas TI. The codes and corresponding quotations showed great variety, suggesting that data saturation had not yet been reached. Therefore, in phase three, convenience sampling was again used to include more participants, leading to the inclusion of another six patients, three informal caregivers and three nurses. In phase four, the new transcripts were added to Atlas TI and coded. During this phase, no new information was found, suggesting that data saturation had been reached. In phase five, the codebook was discussed with the research team and themes were discussed until consensus was reached. Table 1 presents the characteristics of the participants.

Table 1 Qualitative interviews – participant characteristics

The primary researcher (KD) developed the topic list and interview guide based on insights derived from literature on a patient’s role in decision-making and social networks, which were revised following input from the entire research team. All semi-structured interviews were conducted by the primary researcher. The semi-structured interviews started with the interviewer explaining the aim and explicitly asking for verbal consent to audio-recording. The interviews with patients addressed three topics: (A) expectations regarding who should make decisions (subjective norms), (B) the patient’s social network, specifically the structural dimension (i.e. types of individuals and frequency of contact) and the functional dimension (i.e. social support) and (C) the patient’s perceived role in the decision-making process. The interviews with informal caregivers and nurses focused on topics A and C. All participants were asked to illustrate their answers from real-life situations. Table 2 provides insight into some of the questions posed in the interview guide.

Table 2 Main interview topics and questions


Socio-demographic characteristics

Respondents were asked to report on various background characteristics, including: age, gender and educational level. Patients’ health status was measured with the validated five-dimensional, three-level EuroQol instrument (EQ-5D-3 L) and the EuroQol visual analogue scale (EQ VAS) [39].

Subjective norms

The subjective norms in this study, following Brabers et al. [15], focused on what the patient thought their informal caregiver or nurse expected of them in medical decision-making.

Two sets of two questions were included in the patient questionnaire (Table 3). Mean scores for each set were calculated and the higher the score, the more the patients thought that their informal caregiver and/or nurse expected them to leave decisions to the care provider.

Table 3 Items of the questionnaires

The two questions on subjective norms were rephrased in the informal caregiver and nurse questionnaires to measure their view on how the patient should act. Mean scores were calculated and the higher the score, the more the respondent thought that the patient should leave decisions to the care provider.

Social support

In the patient questionnaire, perceived social support was measured with one of the validated scales of the Health Literacy Questionnaire (HLQ): the ‘Social support for health’ scale [40] (Table 3). The HLQ addresses health literacy as a multidimensional concept, covering nine distinct dimensions of health literacy. Each scale of the HLQ should be seen as an individually validated scale instead of a sub-scale and may be used separately as long as all scale items are included [40]. The higher the score, the more social support a patient feels they have.

Outcome measure: patient role in decision-making

In the patient questionnaire, the patient’s perceived role was measured with the Control Preference Scale [9, 41, 42]. Patients were asked to choose the statement that best described how decisions regarding their health situation were made (Table 3). Older patients suffer from different chronic conditions and may therefore require different treatments. As we did not focus on a specific patient group, the patient’s perceived role in decision-making was not assessed with regard to a specific decision involving one disease or condition. Rather, we asked patients how decisions were generally made with respect to their health condition.

Originally, the statements only reflected on the possible role of the medical specialist in the decision-making process [9]. The statements were adapted to focus on the health care provider in general and to include the possible role of the informal caregiver (Table 3). This modification to the scale, the addition of the informal caregiver, has been applied in other research on the role of significant others in the decision-making process [26, 43, 44]. During the structured interviews with the patients, the different options were also discussed and respondents were explicitly asked whether they had understood all options.

The statements covered three perceived patient roles in the decision-making process: (a) an active role (statements 1 and 2, a and b), (b) shared role (statement 3, a and b) and (c) a passive role (statements 4, a and b, and 5, a and b) [10, 45, 46]. Consistent with other research, decision-making scores were collapsed into three types of patient roles by combining the first two active statements, the last two passive statements and the third statement alone [3, 9, 10, 47]. These are: an active role (i.e. patients who want to be heavily involved in the decision-making process), a shared role (i.e. patients who want to make decisions together with their informal caregiver and/or care provider on an equal basis) and a passive role (i.e. patients who want their informal caregiver and/or the care provider to make the decisions) [2, 3, 10].

Data analyses

Quantitative data were analysed with IBM SPSS 25.0. Descriptive statistics were completed for all variables. All analyses were discussed and planned a priori to the data collection by the research team.

Regarding subjective norms, we first analysed the level of alignment between what the patient thought the informal caregiver or nurse expected from them and the views of the latter two groups on how the patient should act by calculating difference scores between patient and informal caregiver, and patient and nurse. Difference scores could only be calculated when both patient and informal caregiver or nurse had answered the subjective norm questions. Difference scores between patient and informal caregiver were calculated by the subjective norm sum score of the patient minus the subjective norm sum score for the informal caregiver on all items. Difference scores between patient and nurse were calculated in a similar manner. A positive difference score implied that patients more often felt that their informal caregiver or nurse expected them to leave the decision to the care provider, while the latter two groups believed that the patient should make the decision themselves. A difference score of zero suggests complete alignment between two groups. Pearson correlations were calculated to investigate the relationship between the subjective norm scores of the three respondent groups.

Next, the relationships between subjective norms and social support and the categorical outcome measure (three roles in decision-making) were analysed in two ways. First, one-way analysis of variance (ANOVA) followed by a Bonferroni post-hoc test was performed to compare the mean subjective (differences) and social support scores between the three perceived patient roles in decision-making. A multinomial logistic regression analysis was then performed to further examine the relationship between the variables. Because the subjective norms from the patient’s perspective loaded onto a single factor in the principal component analysis and the multicollinearity between both variables, the patients’ scores for the expectations of both informal caregivers and nurses were merged into one variable ‘patients’ subjective norms’ for the regression analysis. The audio tapes of the conversations with the patients were transcribed verbatim with regard to the questions on subjective norms, social support and perceived role in decision-making. Based on a patient’s questionnaire score, the quotes were categorised in high or low subjective norm and social support score and for all three patient’s roles.

The qualitative interviews were audio-taped, transcribed verbatim and analysed using Atlas TI. A directed content analysis method was applied, using the three key concepts of this study as a guideline for initial categorical coding by the primary researcher [48]. The content of each category was then sorted further according to existing theory [48]. For example, quotes on the patient’s perceived role in the decision-making process were categorised as an active, shared or passive role and combined in the theme patient’s role in the decision-making process. This produced the following analytical themes: (a) familiarity, (b) care provider knows best, (c) patient’s medical history, (d), patient-informal caregiver relationship, (e) support from social network, (f) patient’s role in the decision making process. Next, the themes were discussed in the research team and combined and analysed in the light of the literature on subjective norms, social support and patient’s role in the decision-making process until consensus was reached. This produced the following themes guiding the results section: (a) underlying factors in the patient-informal caregiver/home care nurse relationship, (b) networks of multiple support circles, (c) implicit and explicit patient role expectations.

Transcripts of the interviews, together with the audio recordings of the questionnaires provided deeper insight into the concepts from the respondents’ perspectives and were used for the qualitative results section.


Quantitative results

Sample characteristics respondents

Patient participants (n = 133) were on an average 81.1 years old, 64.7% were female, 89/133 had an informal caregiver and 55.1% received care from children (in law). This is comparable to the general Dutch population in that most home care recipients are female and receive informal care from their children (Table 4) [49]. Patients rated their health status as average (EQ-5D-3 L = 0.55; EQ VAS = 57.48). Both EQ scores were statistically significantly lower than Dutch population norms (t = − 11.14, p < 0.05 and t = − 15.59, p < 0.05 respectively) [39].

Table 4 Quantitative questionnaires – respondent characteristics

Informal caregivers were on an average 64.1 years old, 65.1% were female and 48.4% provided care for their parent (in law), which again is comparable to the Dutch population in that most informal caregivers are female (56%) and 42% provide care for their parent (in law) [49]. Nurses were mostly female (98.6%) and 63.4% had been caring for their patient for between one and 3 years.

Subjective norms and social support

Table 5 shows the mean scores for subjective norms for all respondent groups (whole sample included) and social support. The difference subjective norm scores were calculated between patient and informal caregiver and between the patients and the nurse. A lower mean difference score was found for patient-informal caregiver dyads (mean = 0.95) than for patient-nurse dyads (mean = 2.12), implying better alignment between patient and informal caregiver on what type of behaviour the patient thinks that the informal caregiver expects of them and the latter’s ideas on how the patient should act, than between patient and nurse.

Table 5 Mean and difference scores on subjective norms and social support

Correlation analysis of the subjective norms was in line with the difference scores, showing a moderately significant correlation between patient and informal caregiver subjective norm scores (r = .34, p < 0.05). Although a larger correlation was found between patient and nurse, this was not significant (r. = .58, p > 0.05).

Relationship between subjective (difference) scores, social support and patient role in decision-making

Overall, 56 patients (42.7%) perceived themselves as having an active role, 54 patients (41.2%) a shared role and 21 patients (16.0%) a passive role in the decision-making process.

One-way ANOVA (Table 6) first revealed significant differences between the three patient groups regarding the patient’s subjective scores on what they thought that the informal caregiver expected of them (F = 6.79, p = 0.002) and the nurse (F = 8.53, p = 0.000). The post-hoc Bonferroni test revealed that for both subjective norms, patients perceiving themselves as having a shared role or passive role reported significantly higher mean scores than the patients perceiving themselves as having an active role. This means that patients perceiving themselves as having a shared or passive role are more likely to believe that their informal caregiver or nurse expects them to leave the decision to the care provider. Moreover, significant differences were also found in patient self-rated social support mean scores between the three patient roles (F = 4.22, p = 0.017). Patients with the lowest level of support also perceived themselves as having a passive role in decision making, whereas patients with the highest level of support perceived themselves as having a shared role. Patients who perceive themselves as having an active role reported a slightly higher level of support than patients who perceive themselves as having a passive role, but not higher than patients perceiving themselves as having a shared role. Bonferroni post-hoc test revealed a relatively significant difference between active and shared role (p = 0.056).

Table 6 One-way ANOVA on subjective norms, differences scores and social support per patient role

Based on the ANOVA, the statistically significant variables (i.e. subjective norms and social support) were used in the multinomial logistic regression (Table 7). Patients’ subjective norms regarding the expectations of both informal caregivers and nurses were merged into one variable ‘patient subjective norms’. The model first shows that patients with a higher score for subjective norm (patients who think that their informal caregiver/nurse expects them to leave the decision to the care provider) are more likely to perceive themselves as having a passive role [OR = 2.92, 95% CI (1.24–6.87), p = 0.014] or shared role [OR = 2.05, 95% CI (1.24–3.40), p = 0.005] than an active role. Patients with a high level of social support are 3.8 times more likely to perceive a shared role than an active role [OR = 3.85, 95% CI (1.26–11.77), p = 0.018]. No significant differences were found for subjective norm scores in patients with a perceived active role and, regarding social support, in patients with a shared role compared to patients perceiving themselves as having a passive role.

Table 7 Multinomial regression analysis on subjective norms and social support

Qualitative results

Subjective norms: underlying factors in the patient – informal caregiver/nurse relationship

Whether or not patients think that their informal caregiver and/or nurse expects them to make the decision themselves or leave it up the care provider, and whether or not the latter two groups prefer the patient to make the decisions seems to be down to three factors: (a) familiarity, meaning how well the informal caregiver or nurse knows the patient’s preferences; (b) valuing the care provider’s opinion due to overprotection and reassurance; and (c) the severity of the patient’s (medical) history. Quote 1 (Table 8) illustrates the case of a patient who thinks their informal caregiver expects them to make the decision themselves because they know her well. Quote 2 illustrates the influence of the patient’s medical history. In some cases, informal caregivers value the care provider’s opinion but still want the patient to make decisions themselves. These informal caregivers sometimes try to steer the patient towards the care provider’s advice, making them believe that they have made the decision themselves (quote 3). Also, nurses sometimes seek the help of the informal caregiver to steer a patient into another direction (quote 4).

Table 8 Quotes on subjective norms, social support and patient’s role in the decision-making process

Overprotectiveness or seeking reassurance from the care provider can cause misalignment between the patient and the informal caregiver or nurse in the sense of patients wanting to make decisions themselves, but the latter two taking over control (quotes 5 and 6).

Social support: networks of multiple support circles

Within the social networks of the participants, the types of individuals and the frequency of social contact and support vary (structural and functional dimensions of social networks). The networks of participants vary in size and types of individuals in the network. Social networks seem to consist of multiple circles surrounding a patient with a (dominant) informal caregiver in the circle closest to the patient, followed by a circle of family and friends (living close by) and a circle consisting of neighbours and social groups such as church members. In some cases, patients have no circles in their network. As a result, the frequency of contact with individuals and well as the perceived support is low (quote 7). In other cases, patients have numerous social contacts, mostly with their dominant informal caregiver(s) and perceive great support from their informal caregiver’s circle (quote 8), or a moderate amount of support from all circles (quote 9). In most cases, support mainly entails emotional (e.g. love and affection) and instrumental support (e.g. helping the patient get to the doctor’s office, helping with grocery shopping).

Notably, some patients with a high level of social support from informal caregivers appreciate the support but sometimes feel it is too much and want to be left alone (quotes 10 and 11).

Patient’s role in the decision-making process: implicit and explicit patient role expectations

Most patients who perceive themselves as having an active role expressed being open to other’s opinions but valued taking the final decision themselves (quote 12). These patients mostly feel that they know best what care or treatment is best for them. In some cases, nurses or informal caregivers also feel that patients should make the final decision, even if they do not always agree (quotes 13).

Most patients perceiving themselves as having a shared role said that they talk to their informal caregiver (often a partner or children) first and prefer taking decisions together. Both patient and informal caregiver involved the care provider if they felt this was necessary (quote 14). In some cases, patients felt that having an informal caregiver present at a medical consultation was useful for helping them remember information and asking questions, for example. Most informal caregivers expressed the importance of providing this support (quote 15).

Patients perceiving themselves as having a passive role relied heavily on either their care provider or informal caregivers to make decisions for them. In the first situation, patients highly valued the care provider’s opinion and trusted their care provider completely. These patients feel that their care provider is always right and their advice should be followed (quote 16). Some informal caregivers explained that some patients in the passive role oblige the caregiver to assume the active role, as these patients are not always capable of making decisions themselves (quote 17).



This mixed-method study provides valuable insights into how social context, specifically subjective norms and social support, relates to older patients’ perceived role in the decision-making process. Consistent with other research, patients perceive themselves as having different roles in decision-making [9, 50, 51]. A large group seems to perceive itself as having a shared role, often advocated as the most patient-centred [2, 5], talking to their informal caregiver before making a decision and only involving the care provider when necessary. Many patients perceiving themselves as having an active role are open to other people’s opinions, but value taking the final decision themselves. However, other studies using the Control Preference Scale show that older patients more often perceive themselves as having a passive rather than an active role [47, 52].

Subjective norms and patient role

Firstly, our results show a lower difference score between the patient and informal caregiver than between the patient and nurse, suggesting better alignment between the patient and informal caregiver on whether the patient or care provider should make decisions. As the interview results suggest, this could be explained by strong relationships with informal caregivers, as many are close family members [38, 53, 54] who are familiar with the patient’s preferences and know their medical history.

Nevertheless, our results suggest that in some cases misalignments can occur due to overprotectiveness or informal caregivers and nurses seeking reassurance from the care provider behind the patient’s back, consistent with past studies on the patient’s role in decision-making [54, 55]. These types of misalignment are somewhat similar to misalignments found during medical consultations [19], when patients expect the informal caregiver to be indirectly involved (e.g. remembering information) rather than directly involved (e.g. asking questions), while informal caregivers want to be directly involved [19].

Secondly, our study suggests that the more a patient thinks that their informal caregiver or nurse expects them to leave decision-making to the care provider, the more the patient perceives themselves as having a passive role in the process. This finding is consistent with Brabers et al. [15], showing that a higher subjective norm score relates to a patient preferring to be less involved in the decision-making process. However, our study also suggests that patients with a higher subjective norm score are also more likely to perceive themselves as having a shared role in decision-making. This could be explained by the fact that even if patients agree with their informal caregiver or the nurse that they will not take an active role in a decision, they still value their care provider informing them and discussing treatment options with them [2, 7, 52].

Social support and patient role

The results of this study also indicate that the more social support a patient perceives themselves as having, the more the patient will perceive themselves as having a shared role in the decision-making process. Hobbs et al. [36] found a similar result, suggesting that patients who perceive themselves as having a shared role value the support of any individual in their network. However, that study also showed that patients do not have a strong preference regarding with whom they want to share this role, which is not in line with our study. In line with other research, we suggest that social networks can consist of multiple circles [17, 56,57,58], with patients particularly valuing the emotional and instrumental support of individuals in their closest circle (i.e. informal caregivers) and want to share the decision-making with them. For everyday matters, some patients also rely on the support of the other circles: their next-of-kin, neighbours and social groups.

Notably, although most patients value the support they are given, it can be overdone, leading some patients to desire more distance and less interference. Although social network members often have a positive influence on a patient’s self-management, family members could also prevent a patient from taking over too much [54, 55].


Firstly, because of the cross-sectional design, we cannot draw conclusions on causality between subjective norms, social support and patient perceived roles in the decision-making process. Secondly, with regard to the survey, patients were nested in with informal caregivers and nurses. We realise that multilevel analysis is commonly performed with nested data, but we were unable to do this due to the limited sample size. However, we were able to collect data from patient-informal caregiver and patient-nurse dyads, providing new insight into the social context of specific relationships.

Thirdly, invitations to participate were sent to patients by the home care organisation and the final survey sample included only those patients who had consented and agreed to share the contact details of their caregivers. Thus the samples of informal caregivers and nurses were not random. It is known that patient’s roles may vary by ethnicity and specific diseases (e.g. cancer) [59] for example and our population is limited in this regard, which calls for careful consideration of the generalisability of the results. However, our survey respondents were fairly representative of the Dutch population. As 18 nurses filled in questionnaires for two or three patients, it is possible that they may have unconsciously compared their patients which might have affected their scoring. However, our mixed-method approach still provides insights into the relationship of social context to perceived patient roles. As social networks are dynamic and the type of care needed by a patient changes over time [37, 57], further research should focus on how social context could change perceived and actual patients’ roles in the decision-making process.

Finally, because of our patient group of elderly patients with different chronic conditions, our study does not focus on a specific type of decision or a specific decision-making process in relation to one type of health care provider. We realise that the perceived patient role may vary depending on a specific type of decision or in relation to a specific health care provider. Therefore, although our study provides initial insight into the relationship between social context and perceived patients’ roles, more research is needed about specific types of decision-making.

Practice implications

This research discusses the relationship of social context to the older patients’ perceived role in decision-making. Patients could be influenced by their perception of the role expectations that others, such as their informal caregivers and nurses, have. When role expectations are not explicit, misalignments can occur. We therefore advocate creating explicit awareness of implicit expectations. Patients, informal caregivers and nurses should be encouraged to discuss their mutual role expectations. In some cases, this conversation could form an integral part of a medical appointment. As many older patients receive care and support from a large network of formal and informal care providers [17, 37, 60, 61], it is also important to include other relevant actors. For that reason, we recommend taking a customised approach, in which the required resources, actors involved and responsibility for organising and facilitating discussions may vary for each patient.

Secondly, our study underlines the importance of support from social networks for the patient’s role. Care providers, researchers and policy makers should therefore not focus solely on (strengthening) support by informal care providers and the most involved formal care providers but take into account the patient’s entire support network [17]. In line with Keating and Dosman [62], who identify four types of support networks (i.e. family-based, friend-based, diverse mix of kin and non-kin, and limited to very few members), our study suggests a diversity of networks and the level of support. Some patients have extensive networks with a lot of support from all circles, while others have small networks or receive moderate support. It is important that researchers and policy makers take note of the patient’s social network to assess the potential resources and support. Network analysis using technological tools designed to visualise patients’ networks and identify resources could be helpful [17, 58].


The role patients perceive that they play in decision-making could be influenced by their own expectations and the expectations they believe that significant others have, such as informal caregivers and nurses, as well as the support they receive from their social network. This study therefore supports the understanding that patient involvement in decision-making is a complex concept that cannot predict patients’ roles solely by demographic factors, but is influenced by and should be examined in the broader social context [50, 51].

Availability of data and materials

The datasets generated and/or analyzed during the current study are not publicly available due to privacy reasons but are available from the corresponding author on reasonable request.



Confidence Interval

EQ-5D-3 L:

EuroQol five dimensional three-level questionnaire


Health Literacy Questionnaire


Odds Ratio


  1. Thompson AG. The meaning of patient involvement and participation in health care consultations: a taxonomy. Soc Sci Med. 2007;64(6):1297–310.

    Article  PubMed  Google Scholar 

  2. Chewning B, Bylund CL, Shah B, Arora NK, Gueguen JA, Makoul G. Patient preferences for shared decisions: a systematic review. Patient Educ Couns. 2012;86(1):9–18.

    Article  PubMed  Google Scholar 

  3. Say R, Murtagh M, Thomson R. Patients’ preference for involvement in medical decision making: a narrative review. Patient Educ Couns. 2006;60(2):102–14.

    Article  PubMed  Google Scholar 

  4. Jahng KH, Martin LR, Golin CE, DiMatteo MR. Preferences for medical collaboration: patient–physician congruence and patient outcomes. Patient Educ Couns. 2005;57(3):308–14.

    Article  PubMed  Google Scholar 

  5. Elwyn G, Edwards A, Mowle S, Wensing M, Wilkinson C, Kinnersley P, et al. Measuring the involvement of patients in shared decision-making: a systematic review of instruments. Patient Educ Couns. 2001;43(1):5–22.

    Article  CAS  PubMed  Google Scholar 

  6. Bastiaens H, Van Royen P, Pavlic DR, Raposo V, Baker R. Older people’s preferences for involvement in their own care: a qualitative study in primary health care in 11 European countries. Patient Educ Couns. 2007;68(1):33–42.

    Article  PubMed  Google Scholar 

  7. Flynn KE, Smith MA, Vanness D. A typology of preferences for participation in healthcare decision making. Soc Sci Med. 2006;63(5):1158–69.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Moreau A, Carol L, Dedianne MC, Dupraz C, Perdrix C, Lainé X, et al. What perceptions do patients have of decision making (DM)? Toward an integrative patient-centered care model. A qualitative study using focus-group interviews. Patient Educ Couns. 2012;87(2):206–11.

    Article  PubMed  Google Scholar 

  9. Degner LF, Sloan JA, Venkatesh P. The control preferences scale. Can J Nurs Res Archive 1997;29(3):21–43.

  10. Jabbour J, Dhillon HM, Shepherd HL, Sundaresan P, Milross C, Clark JR. The relationship between role preferences in decision-making and level of psychological distress in patients with head and neck cancer. Patient Educ Couns. 2018;101(10):1736–1740.

    Article  PubMed  Google Scholar 

  11. Edwards M, Davies M, Edwards A. What are the external influences on information exchange and shared decision-making in healthcare consultations: a meta-synthesis of the literature. Patient Educ Couns. 2009;75(1):37–52.

    Article  PubMed  Google Scholar 

  12. Smith SK, Dixon A, Trevena L, Nutbeam D, McCaffery KJ. Exploring patient involvement in healthcare decision making across different education and functional health literacy groups. Soc Sci Med. 2009;69(12):1805–12.

    Article  PubMed  Google Scholar 

  13. Burke NJ, Joseph G, Pasick RJ, Barker JC. Theorizing social context: Rethinking behavioral theory. Health Educ Behav. 2009;36(5_suppl):55S–70S.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Pasick RJ, Burke NJ. A critical review of theory in breast cancer screening promotion across cultures. Annu Rev Public Health. 2008;29:351–68.

    Article  PubMed  Google Scholar 

  15. Brabers AE, van Dijk L, Groenewegen PP, de Jong JD. Do social norms play a role in explaining involvement in medical decision-making? Eur J Public Health. 2016;26(6):901–5.

    Article  PubMed  Google Scholar 

  16. Ommen O, Thuem S, Pfaff H, Janssen C. The relationship between social support, shared decision-making and patient’s trust in doctors: a cross-sectional survey of 2,197 inpatients using the Cologne patient questionnaire. Int J Public health. 2011;56(3):319–27.

    Article  PubMed  Google Scholar 

  17. Rogers A, Vassilev I, Brooks H, Kennedy A, Blickem C. Brief encounters: what do primary care professionals contribute to peoples’ self-care support network for long-term conditions? A mixed methods study. BMC Family Pract. 2016;17(1):1–9.

    Article  Google Scholar 

  18. Wolff JL, Clayman ML, Rabins P, Cook MA, Roter DL. An exploration of patient and family engagement in routine primary care visits. Health Expect. 2015;18(2):188–98.

    Article  PubMed  Google Scholar 

  19. Laidsaar-Powell RC, Butow P, Bu S, Charles C, Gafni A, Lam W, et al. Physician–patient–companion communication and decision-making: a systematic review of triadic medical consultations. Patient Educ Couns. 2013;91(1):3–13.

    Article  CAS  PubMed  Google Scholar 

  20. Wolff JL, Guan Y, Boyd CM, Vick J, Amjad H, Roth DL, et al. Examining the context and helpfulness of family companion contributions to older adults’ primary care visits. Patient Educ Couns. 2017;100(3):487–94.

    Article  PubMed  Google Scholar 

  21. Isenberg SR, Aslakson RA, Dionne-Odom JN, Clegg Smith K, Singh S, Larson S, et al. Family companions' involvement during pre-surgical consent visits for major cancer surgery and its relationship to visit communication and satisfaction. Patient Educ Couns. 2018;101(6):1066–74 doiS0738–3991(18)30033–8 [pii].

    Article  PubMed  Google Scholar 

  22. van Hooft SM, Dwarswaard J, Bal R, Strating MM, van Staa A. What factors influence nurses’ behavior in supporting patient self-management? An explorative questionnaire study. Int J Nurs Stud. 2016;63:65–72.

    Article  PubMed  Google Scholar 

  23. de Vries H, Dijkstra M, Kuhlman P. Self-efficacy: the third factor besides attitude and subjective norm as a predictor of behavioural intentions. Health Educ Res. 1988;3(3):273–82.

    Article  Google Scholar 

  24. Lindahl B, Lidén E, Lindblad B. A meta-synthesis describing the relationships between patients, informal caregivers and health professionals in home-care settings. J Clin Nurs. 2011;20(3–4):454–63.

    Article  PubMed  Google Scholar 

  25. Wiechula R, Conroy T, Kitson AL, Marshall RJ, Whitaker N, Rasmussen P. Umbrella review of the evidence: what factors influence the caring relationship between a nurse and patient? J Adv Nurs. 2016;72(4):723–34.

    Article  PubMed  Google Scholar 

  26. Shin DW, Cho J, Roter DL, Kim SY, Yang HK, Park K, et al. Attitudes toward family involvement in cancer treatment decision making: the perspectives of patients, family caregivers, and their oncologists. Psycho-oncology. 2017;26(6):770–8.

    Article  PubMed  Google Scholar 

  27. Shin DW, Cho J, Roter DL, Kim SY, Sohn SK, Yoon M, et al. Preferences for and experiences of family involvement in cancer treatment decision-making: patient–caregiver dyads study. Psycho-Oncology. 2013;22(11):2624–31.

    Article  PubMed  Google Scholar 

  28. Wills TA. Social support and interpersonal relationships. In: Clark MS, editor. Review of personality and social psychology. 12th ed. Thousand Oaks: Sage Publications, Inc; 1991. p. 265–89.

    Google Scholar 

  29. O'Reilly P. Methodological issues in social support and social network research. Soc Sci Med. 1988;26(8):863–73.

    Article  CAS  PubMed  Google Scholar 

  30. Due P, Holstein B, Lund R, Modvig J, Avlund K. Social relations: network, support and relational strain. Soc Sci Med. 1999;48(5):661–73.

    Article  CAS  PubMed  Google Scholar 

  31. Langford CPH, Bowsher J, Maloney JP, Lillis PP. Social support: a conceptual analysis. J Adv Nurs. 1997;25(1):95–100.

    Article  CAS  PubMed  Google Scholar 

  32. Dwarswaard J, Bakker EJ, Staa A, Boeije HR. Self-management support from the perspective of patients with a chronic condition: a thematic synthesis of qualitative studies. Health Expect. 2016;19(2):194–208.

    Article  PubMed  Google Scholar 

  33. Gallant MP. The influence of social support on chronic illness self-management: a review and directions for research. Health Educ Behav. 2003;30(2):170–95.

    Article  PubMed  Google Scholar 

  34. Koetsenruijter J, van Lieshout J, Vassilev I, Portillo MC, Serrano M, Knutsen I, et al. Social support systems as determinants of self-management and quality of life of people with diabetes across Europe: study protocol for an observational study. Health Qual Life Outcomes. 2014;12(1):29.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Reeves D, Blickem C, Vassilev I, Brooks H, Kennedy A, Richardson G, et al. The contribution of social networks to the health and self-management of patients with long-term conditions: a longitudinal study. PLoS One. 2014;9(6):e98340.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  36. Hobbs GS, Landrum MB, Arora NK, Ganz PA, Van Ryn M, Weeks JC, et al. The role of families in decisions regarding cancer treatments. Cancer. 2015;121(7):1079–87.

    Article  PubMed  Google Scholar 

  37. Doekhie KD, Buljac-Samardzic M, Strating MM, Paauwe J. Who is on the primary care team? Professionals’ perceptions of the conceptualization of teams and the underlying factors: a mixed-methods study. BMC Family Pract. 2017;18(1):1–14.

    Article  Google Scholar 

  38. Janse B, Huijsman R, Looman WM, Fabbricotti IN. Formal and informal care for community-dwelling frail elderly people over time: A comparison of integrated and usual care in the Netherlands. Health Soc Care Community. 2018;26(2).

    Article  Google Scholar 

  39. Szende A, Janssen B, Cabases J. Self-reported population health: an international perspective based on EQ-5D. Dordrecht: Springer; 2014.

    Book  Google Scholar 

  40. Osborne RH, Batterham RW, Elsworth GR, Hawkins M, Buchbinder R. The grounded psychometric development and initial validation of the Health Literacy Questionnaire (HLQ). BMC Public Health. 2013;13(1):658.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Katz SJ, Lantz PM, Janz NK, Fagerlin A, Schwartz K, Liu L, et al. Patient involvement in surgery treatment decisions for breast cancer. J Clin Oncol. 2005;23(24):5526–33.

    Article  PubMed  Google Scholar 

  42. Lantz PM, Janz NK, Fagerlin A, Schwartz K, Liu L, Lakhani I, et al. Satisfaction with surgery outcomes and the decision process in a population-based sample of women with breast cancer. Health Serv Res. 2005;40(3):745–68.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Kunneman M, Pel-Littel R, Bouwman FH, Gillissen F, Schoonenboom NS, Claus JJ, et al. Patients' and caregivers' views on conversations and shared decision making in diagnostic testing for Alzheimer's disease: the ABIDE project. Alzheimers Dementia. 2017;3(3):314–22.

    Google Scholar 

  44. Walczak A, Butow PN, Tattersall MH, Davidson PM, Young J, Epstein RM, et al. Encouraging early discussion of life expectancy and end-of-life care: a randomised controlled trial of a nurse-led communication support program for patients and caregivers. Int J Nurs Stud. 2017;67:31–40.

    Article  PubMed  Google Scholar 

  45. Singh JA, Sloan JA, Atherton PJ, Smith T, Hack TF, Huschka MM, et al. Preferred roles in treatment decision making among patients with cancer: a pooled analysis of studies using the Control Preferences Scale. Am J Manag Care. 2010;16(9):688–96 doi12718 [pii].

    PubMed  PubMed Central  Google Scholar 

  46. Florin J, Ehrenberg A, Ehnfors M. Patient participation in clinical decision-making in nursing: a comparative study of nurses’ and patients’ perceptions. J Clin Nurs. 2006;15(12):1498–508.

    Article  PubMed  Google Scholar 

  47. Brom L, Hopmans W, Pasman HRW, Timmermans DR, Widdershoven GA, Onwuteaka-Philipsen BD. Congruence between patients’ preferred and perceived participation in medical decision-making: a review of the literature. BMC Med Inform Decis Mak. 2014;14(1):25.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Hsieh H, Shannon SE. Three approaches to qualitative content analysis. Qual Health Res. 2005;15(9):1277–88.

    Article  PubMed  Google Scholar 

  49. Klerk Md, Boer Ad, Plaisier I, Schyns P. Voor Elkaar? Stand van de informele hulp 2016. Voor elkaar? Stand van de informele hulp in 2016. 2016.

  50. Matsen CB, Lyons S, Goodman MS, Biesecker BB, Kaphingst KA. Decision role preferences for return of results from genome sequencing amongst young breast cancer patients. Patient Educ Couns. 2018;102(1):155–161.

    Article  PubMed  Google Scholar 

  51. Entwistle VA, Watt IS. Patient involvement in treatment decision-making: the case for a broader conceptual framework. Patient Educ Couns. 2006;63(3):268–78.

    Article  PubMed  Google Scholar 

  52. Cranley NM, Curbow B, George TJ, Christie J. Influential factors on treatment decision making among patients with colorectal cancer: a scoping review. Support Care Cancer. 2017;25(9):2943–51.

    Article  PubMed  Google Scholar 

  53. Bonsang E. Does informal care from children to their elderly parents substitute for formal care in Europe? J Health Econ. 2009;28(1):143–54.

    Article  PubMed  Google Scholar 

  54. Doekhie KD, Strating MM, Buljac-Samardzic M, van de Bovenkamp HM, Paauwe J. The different perspectives of patients, informal caregivers and professionals on patient involvement in primary care teams. A qualitative study. Health Expect. 2018;21:1171–1182.

    Article  PubMed  PubMed Central  Google Scholar 

  55. Gallant MP, Spitze GD, Prohaska TR. Help or hindrance? How family and friends influence chronic illness self-management among older adults. Res Aging. 2007;29(5):375–409.

    Article  Google Scholar 

  56. Agneessens F, Waege H, Lievens J. Diversity in social support by role relations: a typology. Soc Networks. 2006;28(4):427–41.

    Article  Google Scholar 

  57. Vassilev I, Rogers A, Kennedy A, Koetsenruijter J. The influence of social networks on self-management support: a metasynthesis. BMC Public Health. 2014;14(1):719.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Kennedy A, Vassilev I, James E, Rogers A. Implementing a social network intervention designed to enhance and diversify support for people with long-term conditions. A qualitative study. Implementation Sci. 2015;11(1):27.

    Article  Google Scholar 

  59. Tariman JD, Berry D, Cochrane B, Doorenbos A, Schepp K. Preferred and actual participation roles during health care decision making in persons with cancer: a systematic review. Ann Oncol. 2009;21(6):1145–51.

    Article  PubMed  PubMed Central  Google Scholar 

  60. LaDonna KA, Bates J, Tait GR, McDougall A, Schulz V, Lingard L. ‘Who is on your health-care team?‘asking individuals with heart failure about care team membership and roles. Health Expect. 2016;20(2):198–210.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Weenink J, van Lieshout J, Jung HP, Wensing M. Patient care teams in treatment of diabetes and chronic heart failure in primary care: an observational networks study. Implement Sci. 2011;6(6):1–6.

    Google Scholar 

  62. Keating N, Dosman D. Social capital and the care networks of frail seniors. Can Rev Sociol. 2009;46(4):301–18.

    Article  PubMed  Google Scholar 

  63. Dutch Government. Wet medisch-wetenschappelijk onderzoek met mensen. 2016.

    Google Scholar 

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We would like to thank all the participants in this study. We also sincerely thank Aafje Thuiszorg Huizen Zorghotels for their valuable support and contribution to data collection.


This research did not receive any specific grant from funding agencies in the public, commercial or not-for-profit sectors.

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Authors and Affiliations



All authors (KD, MBS, MS and JP) designed the study. KD, MBS and MS collected the data and KD initiated the analysis of the data. All authors frequently discussed the appropriate methods for analysis and results of the analysis. KD drafted the first version of the manuscript and based on input and reformulations of sentences of MBS, MS and JP, KD revised the manuscript. All authors read and approved the definitive version of the manuscript and agree to be accountable for all aspects of the study.

Corresponding author

Correspondence to Kirti D. Doekhie.

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Ethics approval and consent to participate

According to the Dutch Medical Research involving Subjects Act of the Central Committee on Research Involving Human Subjects, ethical approval is only necessary when studies concern medical/scientific research and participants are subject to procedures or are required to follow rules of behaviour [63]. Our study protocol (No. MEC-2017-207) was reviewed by the Medical Ethics Committee of the Erasmus Centre Rotterdam, the Netherlands. The Medical Research Involving Subjects Act was not found applicable.

For the quantitative data collection, patients first gave explicit written consent to share their contact details with the research team. All patients who consented were contacted by phone. During this conversation, we further informed the patients on the purpose of the study and asked for consent for a home visit. During the home visit, patients were again informed on the purpose of the study and the audio-recording of the interview. At all times patients were allowed to withdraw their consent.

Due to privacy reasons, the research team did not have the contact details of the informal caregivers and home care nurses. Therefore, these respondents received an envelope (via the patient or home care nurse) containing an information letter on the purpose of the study and the contact details of the research teams as well as the questionnaire. Informal caregivers’ and home care nurses’ consent was assumed by completion of the questionnaire.

For the qualitative data collection, during the recruiting of the participants as well as at the beginning of the interviews, the participants were repeatedly informed about the recording of the interviews and asked for their verbal consent. In the initial email or phone call all participants were informed about the purpose of the study and the fact that the interviews would be recorded if participants would consent to this. In this phase, we also explicitly stated that although the interviews would be recorded, all participants would remain anonymous in the study. At the beginning of the interviews, we explicitly asked all participants for verbal consent to recording of the interviews. At all times, participants were allowed to refuse recording of the interview. At any time, participants were allowed to withdraw their consent.

Our reviewed study protocol explicitly stated the consent to participate procedure for both the quantitative and qualitative data collection phase. The Medical Ethics Committee of the Erasmus Centre Rotterdam, the Netherlands reviewed and approved our study protocol. Therefore, written consent for the qualitative data collection was not found necessary.

Consent for publication

All respondents gave verbal consent for the use of the data for publication. In the recruitment phase for both the quantitative and qualitative data collection, all respondents/participants were informed and on the purpose of the study and asked for verbal consent for the use of the collected data for scientific publication. The researchers made explicit that all respondents/participants would remain anonymous in publications. For the quantitative data collection, the information letter again stated the purpose of the study and the collected data would be anonymously used for publications. For the qualitative data collection, prior to the interviews all participants were asked for verbal consent to using the data for publications as well as using anonymous quotations.

The verbal consent procedure for publication was stated in our study protocol (No. MEC-2017-207). The protocol was approved by the Medical Ethics Committee of the Erasmus Centre Rotterdam, the Netherlands.

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Doekhie, K.D., Buljac-Samardzic, M., Strating, M.M.H. et al. Elderly patients’ decision-making embedded in the social context: a mixed-method analysis of subjective norms and social support. BMC Geriatr 20, 53 (2020).

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  • Patient role
  • Decision-making
  • Social context
  • Subjective norms
  • Social support