Skip to main content

Goal setting is insufficiently recognised as an essential part of shared decision-making in the complex care of older patients: a framework analysis

Abstract

Background

Multimorbidity poses a challenge for decision-making processes and requires that more attention is paid to patient goals, preferences and needs; however, goal setting is not yet widely recognised as a core aspect of the shared decision-making (SDM) approach. This study aims to analyse clinician perceptions of the concept of goal setting within the context of SDM with older patients with multimorbidity.

Methods

Semi-structured interviews with general practitioners (GPs) and clinical geriatricians (CGs) were analysed using a framework analysis. The integrative model of SDM was used to develop a categorisation matrix, including goal setting as an additional component.

Results

Sixteen of the 33 clinicians mentioned explicit Goal setting as an integrated component of their definition of SDM, which was comparable to the number of clinicians who listed Patient values and preferences (n = 16), Doctor knowledge and recommendations (n = 19) and Make or explicitly defer a decision (n = 19), elements which are commonly considered to be important aspects of SDM. The other 17 clinicians (6 CGs and 11 GPs) did not mention Goal setting as an explicit component of SDM. Our analysis revealed two potential reasons for this observation. Besides the use of other terminology, part of clinicians viewed collaborative goal setting and SDM as separate but related processes.

Conclusions

Our study on clinician perspectives highlighted goal setting as component of a SDM approach and could therefore be considered supportive of recent theoretical insights that SDM models that lack an explicit goal-setting component appear to be deficient and overlook an important aspect of engaging patients in decision-making, particularly for patients with complex multimorbidities. We therefore call for the further development of a comprehensive SDM approach for older patients with multimorbidity to include explicit and unequivocal goal setting elements to sufficiently meet the expectations and needs of clinicians and their patients.

Peer Review reports

Background

Goal setting has emerged as a critical aspect of the care of patients with two or more long-term conditions, yet little attention had been paid to patient goals in the approach known as shared decision-making (SDM). Is this an oversight or was it deliberate? Where there is multimorbidity, defined as the co-existence of two or more chronic diseases or conditions, clinical priorities can compete with one another, and patients can bring additional perspectives and priorities into consideration [1,2,3,4,5,6,7,8,9,10]. To address these challenges, many have advocated paying attention to patient goals, preferences and needs [11,12,13,14]. Tinetti et al. recommended a healthcare shift from a disease orientation to a patient goal orientation [7], which requires that patient priorities and goals are ascertained and the problems impeding these goals are identified. Explicit goal setting might improve the process and outcomes of decision-making in complex cases. In the context of ageing populations, a goal-oriented approach to healthcare could be beneficial at many levels [7, 8, 15,16,17].

Shared decision-making (SDM) would seem highly compatible with taking a goal-oriented approach to care, yet the role of goals and goal setting were not explicitly described in these models [18,19,20,21]. Based on their 2006 analysis of five prominently cited SDM models, Makoul and Clayman [18] identified the most frequently invoked elements and qualities of these approaches and presented an integrative model for SDM. This integrative model is restricted to the essential elements, as presented in Table 1, and is intended to encompass different clinical contexts, types of decisions and levels of involvement.

Table 1 Essential elements, ideal elements and general qualities of SDM

Bodenheimer and Handley defined the term collaborative goal setting (CGS) as ‘a process by which healthcare professionals and patients agree on a health-related goal’ [22]. This enables the acknowledgment of health-related goals and goal setting in the context of behaviour change and action planning for chronic conditions in primary care settings, without necessarily relating them to SDM. CGS has been evaluated in various rehabilitation settings [23,24,25,26]. In a 2014 Commonwealth Fund Survey of adults aged 65 or older with at least one chronic condition, the number of patients who stated that they shared their health goals with a healthcare professional ranged from 23% (Sweden) to 59% (UK), with 9 of the 11 countries having rates below 50% [27]. Furthermore, relatively few studies have explored the processes used by clinicians to set goals in the presence of complex multimorbidity, resulting in little evidence to support the best practices for goal setting with these patients [28]. In a recent systematic review, we concluded that CGS is often a component of complex multifactorial interventions [29]; however, the use of CGS in the daily practice of caring for older patients with multimorbidity is still evolving.

Increasing numbers of researchers have noted the absence of goal setting in SDM models [27,28,29,30,31,32,33,34,35], and changes are being introduced to try to address this deficit. In 2012, Elwyn et al. developed a SDM model consisting of a Choice Talk, an Option Talk and a Decision Talk, which were later updated to Team Talk, Option Talk and Decision Talk [21, 36]. In 2017, this three-talk model was revised to incorporate goal setting as an element of the first step of the SDM process, the Team Talk [35]. Van de Pol et al. [31] proposed a SDM model particularly suited for use with older patients with multimorbidity that built on this three-step model by adding a fourth term, Goal Talk. The conceptual link between CGS and SDM is not self-evident however; for example, Rose et al. [37] conducted a systematic review on SDM within CGS in rehabilitation settings.

It is clear that a coherent description of how best to accomplish SDM with older patients who have complex multimorbidities has not yet been fully established. Although absent from early models of SDM, integrating goal setting and goal attainment in a SDM approach might improve the accomplishment of care plans for patients who need to juggle the burden of illness against the burden of treatments; however, it is currently unclear how goal setting fits into the concept of SDM. Furthermore, the potential adaptations of an approach must not lead to an unnecessary increase in the complexity of its use in daily practice. The inclusion of goal setting would imply that it is a necessary and maybe fundamental aspect of SDM that would be expected to improve the suitability of SDM for use with complex cases, a benefit that will likely outweigh the potential risks of making such a change.

General practitioners (GPs) and clinical geriatricians (CGs) may be able to use their experience of daily care and decision-making with older patients with multimorbidity to better elucidate the relationship between SDM and goal setting. The aim of the present study was therefore to examine whether clinicians view goal setting as a component of SDM and, if so, whether the care of patients might be facilitated by integrating explicit goal setting into a SDM approach. For this purpose, we conducted and analysed interviews with GPs and CGs using a framework approach [38, 40].

Methods

A qualitative study was conducted based on semi-structured interviews with expert CGs and GPs. The interviews were analysed in two phases, beginning with a thematic analysis [39] of all interview topics followed by an analysis of certain themes derived specifically for the purpose of this study using a framework approach [38, 40]. For the framework approach, the integrative model of SDM developed by Makoul and Clayman [18] with the additional component of goal setting was used as the categorisation matrix. The Consolidated Criteria for Reporting Qualitative Research (COREQ) [41] and the Guidelines for the authors and reviewers of qualitative studies [42] were used for the design, performance and reporting of these analyses. The COREQ criteria are reported in terms of our research in Additional file 1. Atlas-ti 7.1.15 software was used in the data coding and analysis. This paper reports on the framework analysis of the interviews.

Sampling

A purposive and snowball method was used to recruit potential participants, all of whom were professional experts in geriatric care in hospital and community settings in the Netherlands [43]. These included GPs specialised and experienced in geriatric care, as well as experienced CGs working in an academic or non-academic teaching hospitals, performing research, teaching, developing or implementing specific innovations in the care of older patients. The sampling was targeted to ensure that a comparable number of GPs and CGs would be included. To obtain diverse perspectives, different types of practice and practice location (rural or urban) were represented in the GP sample, while CGs were recruited from different types of hospitals. For both the CGs and GPs, as many Dutch regions as possible were represented. The sampling of potential participants was initiated by interviewing a GP and a CG, both of whom were familiar to the interviewer. At the end of the interview, the interviewees were asked to suggest the names of potential interview participants, including both GPs and CGs. Recruiting potential participants while also taking into account geographical spread appeared to be easier for the CGs than the GPs, probably because the CGs were hospital-based with a regional focus. GPs were also recruited at a meeting of GPs specialised in geriatric care, which allowed for a wider regional spread of potential participants and avoided regional clustering. The potential participants were approached by email.

Data collection

An interview guide was drafted based on two viewpoints about goal-oriented healthcare for older patients with chronic multimorbidity [7, 14]. The main topics were SDM, CGS and effective collaborative action. Effective collaborative action was defined as the clinicians and patient jointly deciding on and performing diagnostic and treatment steps in line with collaborative goals, which were established by the patient and their clinicians or other involved caretakers. Definitions were not provided to the interviewees. The main topics and subtopics are presented in Additional file 2.

In the introduction of the interviews, the clinicians were asked to use the context of their regular care for community-dwelling older patients (age > 75 years) with a chronic disease or multimorbidity without any further specifications. Specific questions could be altered to obtain a better understanding of certain (sub)topics. All interviews were conducted by the same interviewer (NV) and lasted approximately 60 min. Two pilot interviews were conducted with a CG and a GP. The main topics and subtopics were not changed based on the pilot interview nor during the conducting of the interviews. Five interviews were held face to face, but the others were held by telephone, as the clinicians’ busy schedules and varying locations required flexibility. The face-to-face interviews were held at the interviewee’s office. All interviews were audio-recorded and transcribed. Field notes were kept and analytical memos were drafted during data collection and analysis. The sample size was guided by theoretical saturation [44]. After no new data were determined to have arisen, two further interviews were conducted as a confirmation.

Analysis

In the first phase, a thematic analysis was performed [39] for all interview topics, after which a framework approach was taken for the purposes of this study [38, 40]. Thematic analyses focus on identifying, analysing and reporting patterns (themes) within qualitative data and on the interpretation of aspects of the research topics. During the interviewing phase, NV and MH conducted preliminary analyses by reflecting and discussing the interviews and field notes. The interview guide was adapted to reflect their emerging insights. Open coding was applied to all topics of the first five transcripts, which was independently performed by two data coders (NV and MH). The data were conceptually interpreted and labelled accordingly, resulting in initial codes which were then compared, discussed, grouped and categorised to determine a working coding tree. The remaining interviews were coded by one researcher (MH) and checked by the other (NV). In weekly meetings, the coding of the transcripts was compared, discussed and agreed upon by the researchers (NV and MH), which included the creation of additional codes and the further refinement of the analysis taking reflexivity into account. The findings were discussed and further adjusted after review by the broader research team consisting of all co-authors. Amongst others, this thematic analysis of the interview data resulted in the themes ‘SDM concept’ and ‘Links between the concepts of SDM and CGS’.

In the second phase of the analysis, these themes were further analysed using a framework approach. For this purpose, a SDM categorisation matrix was developed based on the essential, ideal and general elements of the integrative model of SDM developed by Makoul and Clayman [18], shown in Table 1. A new category, goals/goal setting, was added to this SDM categorisation matrix. The data were charted in this categorisation matrix and the findings were interpreted. Goals/goals setting had to be mentioned specifically before they were categorised as being ‘mentioned’.

The findings were discussed in regular meetings between NV and MM and further adjusted after review by the broader research team consisting of all co-authors. Illustrative quotations were selected to highlight the findings and translated from Dutch to English by a professional translator.

Ethical considerations

At the start of the interview, all interviewees were informed about the study, the method of data handling and the preservation of anonymity. Permission to record audio during the interviews was obtained from all participants. In addition to their earlier consent to be interviewed, documented in the emails, all interviewees were formally asked for their consent to participate, which was audio recorded and documented by the interviewer. To preserve anonymity and confidentiality, names were replaced with codes indicating whether the participant was a GP or CG and the sequential number of the interview. Any identifying information was removed following the verbatim transcription of the recordings.

Results

Interview and participant characteristics

The response rates of the CGs and GPs were 86 and 54%, respectively, resulting in a final sample of 33 clinicians (18 CGs and 15 GPs). The first author (NV), a former GP, conducted the interviews between November 2012 and April 2013. Five interviews were conducted face to face, while the remaining 28 were held over the telephone. All interviews lasted approximately 60 min. The mean age of the GPs was 51 (n = 15), while for the CGs (n = 18) it was 48; 60% of GPs and 50% of CGs were female. On average, the GPs had 16 years of professional experience and CGs had 10 years. Additional participant characteristics are presented in Table 2.

Table 2 Basic characteristics of the participants

Main elements of SDM according to CGs and GPs

In 2006, Makoul and Clayman [18] identified the most frequently invoked elements and qualities of SDM and developed an integrative model of this approach, which is presented in Table 1. As already has been argued, Makoul and Clayman’s integrative model is intended to encompass different clinical contexts, types of decisions and levels of involvement. To investigate whether clinicians mention goal setting as an essential component of SDM, we added the component of Goal setting to the integrative model to constitute a categorisation matrix.

Table 3 provides information on which elements of the integrative model and the additional component of goal setting were mentioned by each clinician. Although not included in the original integrative SDM model, Goal setting was explicitly mentioned by half of the clinicians interviewed (n = 16). Established important components of SDM, which were also listed were: Patient values/preferences (n = 16), Doctor knowledge/recommendations (n = 19) and Make or explicitly defer decision (n = 19).

Table 3 Categorisation matrix for SDM with older patients with multimorbidity

Goal setting as a component of SDM

The clinicians who considered goals and/or goal setting to be a component of SDM emphasised several aspects of these categories in their descriptions. Goals and the goal setting process were described as providing inputs for the decision-making process, as illustrated by the following quotation:

“Once you have gained, let’s say, insight into the patient’s goals and the doctor’s possibilities, then you can reach a decision. (...) In the process of exchanging information, the patient is already telling you about how they lead their life, about their goals, wishes and desires, etc. And (...) what they want to do with those”. Clinical geriatrician 7 (CG_07)

Furthermore, goals and goal setting can be seen as core components of SDM, reflecting the essence of a SDM approach, as explained by one of the clinicians:

“If you opt for shared decision-making, I think you should start by looking at what the actual goal is: ‘What is the patient’s goal?’ (...) I believe that is what the entire process of shared decision-making is about”. Clinical geriatrician 11 (CG_11)

Similarly, one of the clinicians stated:

“I believe that you cannot make common decisions if you do not have joint goals”. Clinical geriatrician 16 (CG_16)

In this sense, goals and goal setting reflect a person-centred attitude. Person-centred care is defined as healthcare that is ‘respectful and responsive to individual patient preferences, needs and values, and ensures that patient values guide all clinical decisions’ [45]. SDM can be seen as fundamental to patient-centred care [46], and both explicitly involve the patient in their care [47, 48].

Furthermore, the integration of the CGS and SDM processes was emphasised in our analysis. According to some of the clinicians, CGS and SDM can be viewed as a single integrated process and cannot be separated, since decision-making also involves goal setting. They stated that the patient and clinician should jointly determine which goals are relevant and which steps should be taken in pursuing those goals:

“When you ask someone: ‘What do you think about your life and what do you find most important?’, and it turns out that ‘continue to live independently’ is the most important, then it makes sense that the patient is involved in thinking about the ‘smaller’ goal that is linked to this (...) and that they also give the green light to this... for example, by asking ‘Are you okay with this? And if you’re not okay with THIS, how would you feel about THAT?’. This is all interwoven and cannot be seen separately”. General practitioner 20 (GP_20)

This general practitioner seems to refer to various types of goals. Independence can be seen as a value and ‘continuing to live independently’ is a goal incorporating this value. This goal setting process could be interpreted as a process of setting of several related goals within a decision-making process. In the view of some clinicians, goals can actively steer the options presented to a patient, as illustrated by the following quotation:

“If someone says: ‘I want to continue living independently as long as possible’, well, then perhaps those treatment options must be chosen that enable the patient to do this. Very invasive options, meaning for example that a patient has to travel back and forth constantly, are then excluded. (...) It means you choose the more pragmatic option. (...) Yes, I do believe that such goals give direction to the options. So if you know those goals in advance and you know what the patient wants, it becomes easier to give better advice about what the best option is”. Clinical geriatrician 3 (CG_03)

This value-driven goal of ‘continue to live independently as long as possible’ could be used to steer the decision-making process and enable the comparison of certain options.

Perceptions of clinicians not mentioning goal setting as a component of SDM

Seventeen clinicians did not explicitly mention goal setting as a component of a SDM approach. Of the clinicians who did not explicitly mention goal setting as part of SDM, six were CGs and 11 were GPs. This means that, in contrast to the CGs, the majority of GPs did not explicitly mention goal setting as a SDM component. Our analysis revealed some indication that the lack of an explicit mention of goals when attempting to undertake a SDM process does not automatically mean that there is a lack of awareness regarding goals. First, some clinicians who did not mention goals explicitly focused on other aspects of patient involvement, using terms such as ‘agreement’ or ‘decision maker’ in their description of the concept of SDM. They mentioned that aligning decisions with a patient’s preferences is essential:

“In any case, to align our thoughts. (...) to make my plan clear to the patient or ask what they still want. (...) and check (...) whether the patient understands what I mean, as a GP, by a certain proposal”. General practitioner 13 (GP_13)

We can interpret these aspects of patient involvement as elements of a person-centred attitude. In this sense, the attitudes of the clinicians who did or did not mention goal setting are not necessarily different. As was also concluded by Knight et al., the concepts of values, goals, and preferences are often used interchangeably [49], which could explain why some clinicians did not mention goals or goal setting.

Some clinicians did not mention goal setting when defining SDM but described CGS and SDM as separate but related processes. Some of them see CGS and goals as fundamental and SDM as a related, though more concrete, process of decision-making:

“[SDM and CGS] are two different stories, of course. Yes, because when you set a goal, you ask ‘What is important to you?’ (...) ‘When you think of the next couple of years, what is it that you want or don’t want?’ And decision-making simply means that you involve the patient in the choices that you make. (...) And (...) that you provide the information the patient needs to oversee things and (...) that you try to reach a satisfactory result together. (...) But that is just a little bit different. (...) Yes, I think decision-making is bigger than that. (...) And (...) to reach a decision together, that also serves that joint goal, now doesn’t it”. General practitioner 17 (GP_17)

Although viewed as separate processes, from this perspective CGS remains a key input for a SDM process.

Discussion

Goal setting is not yet widely recognised as a core component of SDM. Our interviews with experienced GPs and CGs highlight the need for SDM approaches that explicitly and unequivocally include the task of goal setting. This would be consistent with recent theoretical insights that patient goals and the process of goal setting can be regarded as a fundamental part of a SDM process, especially when patients have multiple long-term conditions which require trade-offs between treatment options.

This study has some methodological strengths. First, we worked with an interviewer who is trained as a GP, which may have encouraged the participants to speak frankly and directly from their own professional perspectives. The second coder of the first phase was experienced in interview analysis but has no medical background. The second data analyst during the second phase (MM) is an expert on SDM, but has no background in practicing medicine. These distinct professional backgrounds helped us avoid a ‘medical’ bias in our data interpretation. Second, this topic can be considered as early research into this topic. At the time of our interviews, goal setting in complex decision-making was only just evolving, which is why we used a purposive sampling and a snowball extension method to recruit professional experts. In the Netherlands, both GPs and CGs provide medical care to older people living at home, but they do so in different settings, namely in the community and hospitals, respectively. At this stage of theory development, we considered their work to be complementary, allowing both to contribute to the saturation of data collection on current medical thinking on these themes. The basic characteristics of the participants showed considerable variability in line with the Dutch context (e.g., in terms of practice type). Third, we chose a framework analysis method, which is well-suited for an analysis that departs from a theoretical position. In our analysis we used a SDM categorisation matrix based on the integrative SDM model of Makoul and Clayman.

This study also has some limitations. We aimed to focus the interviews on the care of a population with complex healthcare demands, which was introduced to the interviewees as a population of people over 75 years of age with multimorbidity. Ideally, in the context of condition and functioning, we would have been able to specify this potential complexity further by also including factors such as disease severity and disability [50]; however, we assumed that this might complicate the interviews too much if it was taken too literally. Patients and/or caregivers were not interviewed as part of this research, but should be included in future research on this topic because it centres on patient participation and the patient orientation of care. Furthermore, we found a difference between the proportion of GPs and CGs who mentioned goal setting. We have no reason to believe that GPs are less patient-oriented than CGs; in a qualitative focus group study of Dutch GPs, Luijks et al. [4] reported that GPs agreed to involve patient perspectives and preferences in the decision-making process. Further research is necessary to determine whether this indication of possible differences in perceptions between GPs and CGs can be confirmed and if so, what causal factors could be relevant in explaining these differences. In addition, we used spontaneous descriptions of the SDM context in our analysis of whether the clinician mentioned goal setting. Furthermore, although the interview guide started with the topic of SDM, all topics, including CGS, were mentioned in the introduction of the interviews, which could have primed the interviewees. Finally, although our findings contribute to the current academic debate on goal setting and SDM, the time span between interviewing and publishing the results could also be considered a limitation. Findings might be somewhat different nowadays, as the SDM field has evolved, including the consideration of goal setting as element of SDM, since the original study was conducted.

Although there is still a relative lack of tools and evidence regarding the effects of goal setting with older patients with chronic disease or multimorbidity [29], we would like to appeal for the integration of explicit goal setting into SDM approaches for older patients with multimorbidity for three reasons: 1. The potential relevance of the inclusion of goal setting as essential component; 2. the need for consistent terminology and 3. the need for the further development of practical goal setting within SDM. These reasons are explained in more detail below.

First, our findings are in line with recently published theoretical insights on the relevance of goal setting in a SDM approach [27,28,29,30,31,32,33,34,35]. Sixteen of the 33 clinicians interviewed mentioned Goal setting as a component of their definition of a SDM approach. The frequency of the inclusion of Goal setting as a SDM component is comparable with the mention of the other commonly accepted major elements, namely Patient values/preferences (n = 16), Doctor knowledge/recommendations (n = 19) and Make or explicitly defer decision (n = 19). Furthermore, the interpretation of the descriptions of goal setting revealed that the interviewees who mentioned goal setting considered it to be an important component.

A need for consistency in terminology is a second reason why we believe goal setting should be incorporated in SDM approaches. As our findings indicated, clinicians seem to use different terms in their definition of SDM, which is consistent with other research showing that the concepts of values, goals, and preferences are often used interchangeably [49]. Clearly defining these concepts and their relevance within SDM will contribute to the further development of consistent theoretical models and practical approaches. In our view, special attention should be given to defining the types of goals in the goal setting process, as our results indicated that clinicians may set and use varying types of goals.

The third reason for our plea is the need for the further development of practical approaches for goal setting within SDM. Clinicians are increasingly interested in goal-oriented care, especially for patients with multimorbidity [1, 7, 8, 11, 14, 51, 52]. A goal-oriented approach in decision-making can be helpful in personalising care to accommodate patient goals, preferences and resources [13, 14]. As argued in the introduction, CGS has only recently been incorporated into the daily practice of caring for older patients with multimorbidity, and incorporating patient values, preferences and circumstances is a difficult step in the decision-making process [53]. Health-related goals arise not only from health but also from other dimensions such as social context or wellbeing [1, 13, 14, 51]. Clinicians may struggle to help people prioritise their values, define treatment goals and frame preferences in ways that are clinically relevant and personally meaningful (aligned with one’s values) when faced with multiple diagnostic and treatment options [2, 54]. Based on our findings, we therefore want to make a plea for the integration of goal setting into the SDM model for use with older patients with multimorbidity as a next step to constitute a solid theoretical base for the further development of practical tools for facing these challenges. The perspectives of the interviewed clinicians reported here suggest that the explicit inclusion of goal setting as part of a SDM approach seems to be most promising to synchronise the concepts and approaches in caring for this category of patients.

Our research has several implications. Our findings seem to indicate that clinicians who want to practice SDM in the complex group of older patients with multimorbidity might be facilitated by the explicit integration of goal setting into this approach, although further research into the perceptions of patients regarding this topic is necessary. Furthermore, the potential differences in the perceptions of GPs and CGs require further elucidation. Finally, for practical tool development, the potential variation in the types of goals is an important topic for further research. Integrating explicit goal setting into a SDM approach would probably increase the use of goal setting in practice, and may lead to further tool development. These goals could enable the development of unambiguous terminology for the inclusion of patient perspectives in SDM. It might also improve inter-professional communication and collaboration by offering the possibility of exchanging explicit goals. In our view, the awareness and integration of goal setting in SDM could be beneficial for all patient categories, although the benefits may vary. We expect that the more complex the decision-making process becomes, the more beneficial explicit goal setting will be.

Conclusions

Our study on clinician perspectives highlighted a lack of explicit goal setting as component of a SDM approach. We conclude that a comprehensive SDM model for use with older patients with multimorbidity could be developed further by including an explicit goal setting process, which is regarded by clinicians as the key factor in aligning diagnostic and therapeutic options with patient preferences and values.

Availability of data and materials

The anonymised interview transcripts (in Dutch) supporting the conclusions of this article are available upon request by contacting the first author (NV).

Abbreviations

CG:

Clinical geriatrician

CGS:

Collaborative goal setting

GP :

General practitioner

SDM:

Shared decision-making

References

  1. Fried TR, Tinetti ME, Iannone L. Primary care clinicians’ experiences with treatment decision-making for older persons with multiple conditions. Arch Intern Med. 2011;171(1):75–80.

    PubMed  Google Scholar 

  2. Naik A, Schulman-Green D, McCorkle R, Bradley E, Bogardus S Jr. Will older persons and their clinicians use a shared decision-making instrument? J Gen Intern Med. 2005;20(7):640–3.

    Article  Google Scholar 

  3. Schulman-Green DJ, Naik AD, Bradley EH, McCorkle R, Bogardus ST. Goal setting as a shared decision making strategy among clinicians and their older patients. Patient Educ Couns. 2006;63(1–2):145–51.

    Article  Google Scholar 

  4. Luijks HD, Loeffen MJW, Lagro-Janssen AL, van Weel C, Lucassen PL, Schermer TR. GPs' considerations in multimorbidity management: a qualitative study. Br J Gen Pract. 2012;62(600):e503–10.

    Article  Google Scholar 

  5. Voigt I, Wrede J, Diederichs-Egidi H, Dierks M-L, Junius-Walker U. Priority setting in general practice: health priorities of older patients differ from treatment priorities of their physicians. Croat Med J. 2010;51(6):483–92.

    Article  Google Scholar 

  6. Reuben DB. Medical Care for the Final years of life: “when you're 83, it's not going to be 20 years”. JAMA. 2009;302(24):2686–94.

    Article  CAS  Google Scholar 

  7. Tinetti ME, Fried TR, Boyd CM. Designing health care for the most common chronic condition—multimorbidity. JAMA. 2012;307(23):2493–4.

    Article  CAS  Google Scholar 

  8. Mangin D, Heath I, Jamoulle M. Beyond diagnosis: rising to the multimorbidity challenge. BMJ. 2012;344:e3526.

    Article  Google Scholar 

  9. Yu C, Stacey D, Sale J, Hall S, Kaplan D, Ivers N, Rezmovitz J, Leung F-H, Shah B, Straus S. Designing and evaluating an interprofessional shared decision-making and goal-setting decision aid for patients with diabetes in clinical care - systematic decision aid development and study protocol. Implement Sci. 2014;9(1):16–23.

    Article  Google Scholar 

  10. Berntsen GKR, Gammon D, Steinsbekk A, Salamonsen A, Foss N, Ruland C, Fønnebø V. How do we deal with multiple goals for care within an individual patient trajectory? A document content analysis of health service research papers on goals for care. BMJ Open. 2015;5(12):e009403.

    Article  CAS  Google Scholar 

  11. Mulley AG, Trimble C, Elwyn G. Stop the silent misdiagnosis: patients’ preferences matter. BMJ. 2012;345:e6572–5.

    Article  Google Scholar 

  12. Bynum JPW, Barre L, Reed C, Passow H. Participation of very old adults in health care decisions. Med Decis Mak. 2014;34(2):216–30.

    Article  Google Scholar 

  13. Reuben DB. Better care for older people with chronic diseases: an emerging vision. JAMA. 2007;298(22):2673–4.

    Article  CAS  Google Scholar 

  14. Reuben DB, Tinetti ME. Goal-oriented patient care — an alternative health outcomes paradigm. N Engl J Med. 2012;366(9):777–9.

    Article  CAS  Google Scholar 

  15. Barnett K, Mercer SW, Norbury M, Watt G, Wyke S, Guthrie B. Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. Lancet. 2012;380(9836):37–43.

    Article  Google Scholar 

  16. Bergman H. The global challenge of understanding and meeting the needs of the frail older population. Aging Clin Exp Res. 2002;14(4):223–5.

    Article  Google Scholar 

  17. Bergman H, Karunananthan S, Robledo LMG, Brodsky J, Chan P, Cheung M, Bovet P. Understanding and meeting the needs of the older population: a global challenge. Can Geriatr J. 2013;16(2):61–5.

    Article  Google Scholar 

  18. Makoul G, Clayman ML. An integrative model of shared decision making in medical encounters. Patient Educ Couns. 2006;60(3):301–12.

    Article  Google Scholar 

  19. Stiggelbout AMA, Pieterse AH, De Haes JCJM. Shared decision making: concepts, evidence, and practice. Patient Educ Couns. 2015;98(10):1172–9.

    Article  CAS  Google Scholar 

  20. Stiggelbout AMA, Van der Weijden T, De Wit MP, Frosch D, Légaré F, Montori VM, Trevena L, Elwyn G. Shared decision making: really putting patients at the Centre of healthcare. BMJ. 2012;344:e256.

    Article  CAS  Google Scholar 

  21. Elwyn G, Frosch DL, Thomson R, Joseph-Williams N, Lloyd A, Kinnersley P, Cording E, Tomson D, Dodd C, Rollnick S, Edwards A, Barry M. Shared decision making: a model for clinical practice. J Gen Intern Med. 2012;27(10):1361–7.

    Article  Google Scholar 

  22. Bodenheimer T, Handley MA. Goal-setting for behavior change in primary care: an exploration and status report. Patient Educ Couns. 2009;76(2):174–80.

    Article  Google Scholar 

  23. Levack WMM, Weatherall M, Hay-Smith EJC, Dean SG, McPherson K, Siegert RJ: Goal setting and strategies to enhance goal pursuit for adults with acquired disability participating in rehabilitation. Cochrane Database Syst Rev 2015, Issue 7. Art. No.: CD009727. doi: https://0-doi-org.brum.beds.ac.uk/10.1002/14651858.CD009727.pub2.

  24. Brogren Carlberg E, Löwing K. Does goal setting in activity-focused interventions for children with cerebral palsy influence treatment outcome? Dev Med Child Neurol. 2013;55:47–54.

    Article  Google Scholar 

  25. Sakzewski L, Gordon A, Eliasson A-C. The state of the evidence for intensive upper limb therapy approaches for children with unilateral cerebral palsy. J Child Neurol. 2014;29(8):1077–90.

    Article  Google Scholar 

  26. Tang Yan HS, Clemson LM, Jarvis F, Laver K. Goal setting with caregivers of adults in the community: a mixed methods systematic review. Disabil Rehabil. 2014;36(23):1943–63.

    Article  Google Scholar 

  27. Osborn R, Moulds D, Squires D, Doty MM, Anderson C. International survey of older adults finds shortcomings in access, coordination, and patient-centered care. Health Aff. 2014;33(12):2247–55.

    Article  Google Scholar 

  28. Grudniewicz A, Nelson M, Kuluski K, Lui V, Cunningham HV, Nie JX, Colquhoun H, Wodchis WP, Taylor S, Loganathan M, Upshur RE. Treatment goal setting for complex patients: protocol for a scoping review. BMJ Open. 2016;6(5):e011869.

    Article  Google Scholar 

  29. Vermunt NPCA, Harmsen M, Westert GP, Olde Rikkert MGM, Faber MJ. Collaborative goal-setting with elderly patients with chronic disease or multimorbidity: a systematic review. BMC Geriatr. 2017;17(1):167.

    Article  Google Scholar 

  30. Vermunt NPCA, Westert GP, Olde Rikkert MGM, Faber MJ. Assessment of goals and priorities in patients with a chronic condition: a secondary quantitative analysis of determinants across 11 countries. Scand J Prim Health Care. 2018;36:80–8.

    Article  Google Scholar 

  31. Van de Pol MHJ, Fluit CRMG, Lagro J, Slaats YHP, Olde Rikkert MGM, Lagro-Janssen ALM. Expert and patient consensus on a dynamic model for shared decision-making in frail older patients. Patient Educ Couns. 2016;99(6):1069–77.

    Article  Google Scholar 

  32. Vermunt NPCA, Harmsen M, Elwyn G, Westert GP, Burgers JS, Olde Rikkert MGM, Faber MJ. A three-goal model for patients with multimorbidity: a qualitative approach. Health Expect. 2018;21:528–38.

    Article  Google Scholar 

  33. Van der Weijden T, Post H, Brand PLP, Van Veenendaal H, Drenthen T, Van Mierlo LA, Stalmeier P, Damman OC, Stiggelbout A. Shared decision making, a buzz-word in the Netherlands, the pace quickens towards nationwide implementation…. Z Evid Fortbild Qual Gesundhwes. 2017;123-124:69–74.

    Article  Google Scholar 

  34. Hoffmann T, Jansen J, Glasziou P. The importance and challenges of shared decision making in older people with multimorbidity. PLOS M. 2018;15:e1002530.

    Article  Google Scholar 

  35. Elwyn G, Durand MA, Song J, Aarts J, Barr PJ, Berger Z, Cochran N, Frosch D, Galasiski D, Gulbrandsen P, Han PKJ, Härter M, Kinnersley P, Lloyd A, Mishra M, Perestelo-Perez L, Scholl I, Tomori K, Trevena L, Witteman HO, Van der Weijden T. A three-talk model for shared decision making: multistage consultation process. BMJ. 2017;359:j4891.

    Article  Google Scholar 

  36. Elwyn G, Dehlendorf C, Epstein RM, Marrin K, White J, Frosch DL. Shared decision making and motivational interviewing: achieving patient-centered care across the Spectrum of health care problems. Ann Fam Med. 2014;12(3):270–5.

    Article  Google Scholar 

  37. Rose A, Rosewilliam S, Soundy A. Shared decision making within goal setting in rehabilitation settings: a systematic review. Patient Educ Couns. 2017;100(1):65–75.

    Article  Google Scholar 

  38. Gale NK, Heath G, Cameron E, Rashid S, Redwood S. Using the framework method for the analysis of qualitative data in multi-disciplinary health research. BMC Med Res Methodol. 2013;13:117.

    Article  Google Scholar 

  39. Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol. 2006;3(2):77–101.

    Article  Google Scholar 

  40. Ritchie J, Lewis J. Qualitative research practice: a guide for social science students and researchers. London: Sage; 2013.

  41. Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care. 2007;19(6):349–57.

    Article  Google Scholar 

  42. Malterud K. Qualitative research: standards, challenges, and guidelines. Lancet. 2001;358(9280):483–8.

    Article  CAS  Google Scholar 

  43. Barbour RS. Checklists for improving rigour in qualitative research: a case of the tail wagging the dog? BMJ. 2001;322(7294):1115–7.

    Article  CAS  Google Scholar 

  44. Luborsky MR, Rubinstein RL. Sampling in qualitative research: rationale, issues, and methods. Res Aging. 1995;17(1):89–113.

    Article  Google Scholar 

  45. Institute of Medicine. Crossing the quality chasm: a new health system for the 21st century. Washington DC: National Academy Press; 2001.

    Google Scholar 

  46. Légaré F, Thompson-Leduc P. Twelve myths about shared decision making. Patient Educ Couns. 2014;96(3):281–6.

    Article  Google Scholar 

  47. Härter M, Moumjid N, Cornuz J, Elwyn G, Van der Weijden T. Shared decision making in 2017: international accomplishments in policy, research and implementation. Z Evid Fortbild Qual Gesundhwes. 2017;123–124:1–5.

    Article  Google Scholar 

  48. Scholl I, Zill JM, Härter M, Dirmaier J. An integrative model of patient-centeredness – a systematic review and concept analysis. PLoS One. 2014;9(9):e107828.

    Article  Google Scholar 

  49. Knight SJ. Bridging the gap at the center of patient centeredness: individual patient preferences in health care decision making: comment on “comparing 3 techniques for eliciting patient values for decision making about prostate-specific antigen screening”. JAMA Intern Med. 2013;173(5):369–70.

    Article  Google Scholar 

  50. Zulman DM, Asch SM, Martins SB, Kerr EA, Hoffman BB, Goldstein MK. Quality of Care for Patients with multiple chronic conditions: the role of comorbidity interrelatedness. J Gen Intern Med. 2014;29(3):529–37.

    Article  Google Scholar 

  51. Robben SHM, Perry M, Olde Rikkert MGM, Heinen MM, Melis RJF. Care-related goals of community-dwelling frail older. J Am Geriatr Soc. 2011;59(8):1552–4.

    Article  Google Scholar 

  52. Tinetti ME, Esterson J, Ferris R, Posner P, Blaum CS. Patient priority–directed decision making and Care for Older Adults with multiple chronic conditions. Clin Geriatr Med. 2016;32(2):261–75.

    Article  Google Scholar 

  53. Hoffmann TC, Montori VM, Del Mar C. The connection between evidence-based medicine and shared decision making. JAMA. 2014;312(13):1295–6.

    Article  CAS  Google Scholar 

  54. Naik AD, Martin LA, Moye J, Karel MJ. Health values and treatment goals of older, multimorbid adults facing life-threatening illness. J Am Geriatr Soc. 2016;64(3):625–31.

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank Gijs Hesselink for his advice concerning methodology and the analysis plan.

Funding

This work was supported by the Dutch Council for Health and Society, a strategic advisory council for the Dutch government and the employer of the first author. They provided financial support for the conduct of this research and the preparation of this paper, but had no role in the study design; the data collection, analysis and interpretation; the writing of the report or the decision to submit the paper for publication.

Author information

Authors and Affiliations

Authors

Contributions

The manuscript has been read and approved by all the named authors and no other people have satisfied the criteria for authorship without being listed. The order of the authors listed in the manuscript has been approved by all authors. NV initiated the conception and design of the study, acquired the data, contributed to the analysis and interpretation of the data and drafted and wrote the article. MM contributed to the conception and design of the study and the analysis and interpretation of the data, and critically revised the manuscript several times. GW and MOR contributed to the conception and design of the study and the interpretation of the data, and critically revised the manuscript several times. GE contributed to the interpretation of the data and critically revised the manuscript several times. MH contributed to the analysis and critically revised the manuscript several times.

Corresponding author

Correspondence to Neeltje Vermunt.

Ethics declarations

Ethics approval and consent to participate

The study was carried out in the Netherlands in accordance with the applicable rules concerning the review of research ethics committees and informed consent (Research Ethics Committee, Radboud University Nijmegen Medical Centre, file number 2018–4052). At the start of the interview, all interviewees were informed about the background of the interviews, the method of data handling and the preservation of anonymity. Permission to audio record the interviews was obtained from all participants. In addition to their earlier agreement to be interviewed, which was documented in the email correspondences, all interviewees were formally asked for their consent to participate, which was audio recorded and documented by the interviewer. To preserve anonymity and confidentiality, names were replaced with codes indicating whether the interviewee was a GP or CG, along with the sequential number of the interview. Any identifying information was removed following the verbatim transcriptions of recordings.

Consent for publication

Not applicable.

Competing interests

All authors have completed the ICMJE uniform disclosure form at http://www.icmje.org/coi_disclosure.pdf and declare the following: For the submitted work, no support was received from any organisation.

NV received financial support from her employer, the Council of Health and Society, as described under Funding.

GE has edited and published books that provide royalties on sales by the publishers: the books include Shared Decision Making (Oxford University Press) and Groups (Radcliffe Press). He has in the past provided consultancy for organizations, including: 1) Emmi Solutions LLC who developed patient decision support tools; 2) National Quality Forum on the certification of decision support tools; 3) Washington State Health Department on the certification of decision support tools; 4) SciMentum LLC, Amsterdam (workshops for shared decision-making).

He is the Founder and Director of &think LLC which owns the registered trademark for Option Grids™ patient decision aids. Founder and Director of SHARPNETWORK LLC, a provider of training for shared decision-making. He provides advice in the domain of shared decision-making and patient decision aids to: 1) Access Community Health Network, Chicago (Federally Qualified Medical Centers); 2) EBSCO Health Option Grids™ patient decision aids; 3) Bind Insurance, 4) PatientWisdom Inc.

GE’s academic interests are focused on shared decision-making and coproduction. He owns copyright in measures of shared decision-making and care integration, namely collaboRATE, integRATE, consideRATE, coopeRATE, toleRATE, Observer OPTION-5 and Observer OPTION-12.

No other relationships or activities have influenced the submitted work.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Additional files

Additional file 1:

Table S1. Consolidated Criteria for Reporting Qualitative Studies (COREQ). Consolidated Criteria for Reporting Qualitative Studies (COREQ): A 32-item checklist [41]. (DOCX 30 kb)

Additional file 2:

Table S2. Main topics and subtopics of the semi-structured interview guide. (DOCX 21 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Vermunt, N., Elwyn, G., Westert, G. et al. Goal setting is insufficiently recognised as an essential part of shared decision-making in the complex care of older patients: a framework analysis. BMC Fam Pract 20, 76 (2019). https://0-doi-org.brum.beds.ac.uk/10.1186/s12875-019-0966-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s12875-019-0966-z

Keywords