Skip to main content
Wiley Open Access Collection logoLink to Wiley Open Access Collection
. 2021 May 5;75(9):e14187. doi: 10.1111/ijcp.14187

Understanding GPs’ clinical reasoning processes involved in managing patients suffering from multimorbidity: A systematic review of qualitative and quantitative research

Sarah Cairo Notari 1,2,, Julia Sader 3, Nathalie Caire Fon 4, Johanna Maria Sommer 1, Anne Catherine Pereira Miozzari 1, Danilo Janjic 1, Mathieu Nendaz 3,5, Marie‐Claude Audétat 1,3,4
PMCID: PMC8459259  PMID: 33783098

Abstract

Background

Most consultations in primary care involve patients suffering from multimorbidity. Nevertheless, few studies exist on the clinical reasoning processes of general practitioners (GPs) during the follow‐up of these patients. The aim of this systematic review is to summarise published evidence on how GPs reason and make decisions when managing patients with multimorbidity in the long term.

Methods

A search of the relevant literature from Medline, Embase, PsycINFO, and ERIC databases was conducted in June 2019. The search terms were selected from five domains: primary care, clinical reasoning, chronic disease, multimorbidity, and issues of multimorbidity. Qualitative, quantitative, and mixed‐methods studies published in English and French were included. Quality assessment was performed using the Mixed Methods Appraisal Tool.

Results

A total of 2 165 abstracts and 362 full‐text articles were assessed. Thirty‐two studies met the inclusion criteria. Results showcased that GPs’ clinical reasoning during the long‐term management of multimorbidity is about setting intermediate goals of care in an ongoing process that adapts to the patients’ constant evolution and contributes to preserve their quality of life. In the absence of guidelines adapted to multimorbidity, there is no single correct plan, but competing priorities and unavoidable uncertainties. Thus, GPs have to consider and weigh multiple factors simultaneously. In the context of multimorbidity, GPs describe their reasoning as essentially intuitive and seem to perceive it as less accurate. These clinical reasoning processes are nevertheless more analytical as they might think and rooted in deep knowledge of the individual patient.

Conclusions

Although the challenges GPs are facing in the long‐term follow‐up of patients suffering from multimorbidity are increasingly known, the literature currently offers limited information about GPs’ clinical reasoning processes at play. GPs tend to underestimate the complexity and richness of their clinical reasoning, which may negatively impact their practice and their teaching.


Review criteria

  • Systematic searches were performed in Medline, Embase, PsycINFO, and ERIC from database inception through June 2019 for studies published in English and French.

  • Quantitative, qualitative, and mixed‐methods studies that reported data on general practitioners’ clinical reasoning during the long‐term follow‐up of patients suffering from multimorbidity were included in the systematic review.

  • An inductive (data‐driven) content analysis was performed to synthesise the results.

Message for the clinic

  • This systematic review showcased that whilst GPs perceive their clinical reasoning to be predominantly intuitive, this longitudinal reasoning is more complex, as there are many uncertainties and competing ongoing priorities to manage.

  • It is of paramount importance for GPs to be more aware of their own clinical reasoning processes. A deeper understanding of these processes will draw full benefit towards the training of junior doctors.

1. INTRODUCTION

Multimorbidity is defined as the “coexistence of two or more chronic conditions in the same individual”1 (p3) and is considered one of the major challenges in primary care.2, 3 Patients suffering from multimorbidity represent more than 50% of the general practitioners’ (GPs) practice.4, 5 Despite this high prevalence, GPs often report not being sufficiently trained to handle the care and complexity of these patients.6

Clinical reasoning is at the heart of medical practice,7, 8 therefore improving teaching in multimorbidity's field requires a deep understanding of the clinical reasoning processes used by GPs.9 Clinical reasoning is usually defined as the thought and decision‐making processes aiming to reach a problem resolution.10 However, these processes are implicit and extremely fast, which makes them not readily accessible to clinicians and researchers.10

If “reaching a correct diagnosis” is often seen as the goal of clinical problem solving,11 taking care of patients also requires that clinical reasoning continues beyond their diagnosis and then includes thoughts and choices regarding treatment, follow‐up visits, and further testing.12 This is even more the case when taking care of patients suffering from multimorbidity.

As clinical reasoning processes involved in chronic care remains poorly described in the literature, the purpose of this systematic review was to synthetise the available evidence in order to answer the following question: What is known about the way GPs reason and make decisions when managing patients suffering from multimorbidity in the long‐term?

2. METHODS

A comprehensive search of the relevant literature from Medline, Embase, PsycINFO, and ERIC was conducted from database inception through August 25, 2017, and updated on June 20, 2019. The search terms were selected from five domains: primary care, clinical reasoning, chronic disease, multimorbidity, and issues of multimorbidity. Both thesaurus descriptors and keywords (free text) were used. Complete search strategies are available in Appendices 1‐4.

Studies published in English and French in peer‐reviewed journals were included. Only original research papers with empirical quantitative and/or qualitative data were included. In addition, papers must meet the following inclusion criteria: (1) clinical reasoning reported; (2) context of multimorbidity; (3) long‐term follow‐up of patients (papers focusing exclusively on diagnosis process were excluded); (4) data collected from GPs.

Papers have been screened by the lead author, first by reading abstracts, and then reading full texts. Paired double checks were performed with the other research team members and discrepancies have been resolved by discussion and consensus amongst them. Finally, the reference list of the included articles has been manually scanned for additional relevant references.

The lead author has extracted data from all articles (ie, publication details, study design, GPs’ characteristics, relevant results) and independent checks were performed by the second and the last author. Extracted data regarding the results were then entered into Atlas.ti software (version 8). An inductive (data‐driven) content analysis was performed by three authors (SCN, JS, MCA) to synthesise the results (see Appendix 5).

The methodological quality of included papers has been assessed using the Mixed Methods Appraisal Tool (MMAT).13 Discrepancies in the quality appraisal have been resolved by discussion and consensus between the first and the last authors.

3. RESULTS

A total of 2 165 abstracts and 362 full‐text articles were assessed. Thirty‐two papers14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45 (25 qualitative, 5 quantitative, and 2 mixed‐methods) met the inclusion criteria (see Figure 1 for the flow diagram).

FIGURE 1.

FIGURE 1

Flow diagram of study selection. Abbreviations: GP, General Practitioner. aEndNote software (Clarivate Analytics) was used to remove duplicates. bArticles considered as “off topic” because of the lack of data on GPs’ clinical approach, management or follow‐up of multimorbidity. No relevant (implicit or explicit) information on clinical reasoning could be extracted. cArticles on acute diseases, accidents, emergency care or preventive care. dArticles presenting data from other healthcare professionals (eg, nurses, pharmacists, physiotherapists) or from patients. Articles presenting data extracted from medical records were included if results allowed to illustrate the GPs’ clinical reasoning processes. Articles presenting data from the mixed sample including GPs were excluded, unless specific data from GPs were presented. eArticles reporting unextractable or limited and ungeneralisable data, meaning that these papers presented results that dealt with the practical management of specific diseases and/or treatment and do not allow us access to the underlying clinical reasoning processes. fArticles exclusively focused on clinical reasoning in the diagnosis phase

The thirty‐two studies were published between 2009 and 2019. Most of them (n = 23) were carried out in Europe. All studies but two were published in English (see Table 1 for a summary of included studies). According to the MMAT, the methodological quality of all studies was considered satisfactory (see Appendix 6).

TABLE 1.

Characteristics of included studies

Source Country Aim of the study Methods, Data collection (Analysis) N GPs' mean age, y GPs' mean length of clinical experience, y
Ailabouni et al.14 2016 New Zealand To explore GPs’ opinions and awareness of deprescribing in older patients with multimorbidity Qualitative, Semi‐structured interviews (Content analysis) 9 GPs Unknown (range, 2‐32)
Anderson et al.15 2017 Australia To explore GPs’ and consultant pharmacists’ views about inappropriate polypharmacy, the reasoning they apply to deprescribing in primary care, and identify factors that support or inhibit this process Qualitative Focus groups (Thematic analysis) 32 GPs 47 (range, 28‐70) 18 (range, 1‐50)
Anthierens et al.16 2010 Belgium To describe GPs’ views and beliefs on polypharmacy in order to identify the role of the GP in relation to improving prescribing behaviour Qualitative Semi‐structured interviews (Content analysis) 65 GPs 50 Unknown
Borgström Bolmsjö et al.17 2016 Australia and Sweden (1) To compare and contrast behavioural factors influencing the deprescribing practices of GPs providing care for advanced care facilities (ACF) residents in two separate countries; (2) To review health policy and ACF systems in each setting for their potential impact on the prescribing of medications for older people in residential care; (3) To provide recommendations for future ACF deprescribing initiatives Qualitative Review and critical synthesis of data from two qualitative studies 20 GPs Unknown Unknown
Carrier et al.18 2019 France To understand GPs’ attitudes about prescribing and/or deprescribing medicines for patients with multimorbidity and/or polypharmacy, and factors associated with their decisions Quantitative Telephone‐based survey: questionnaire (Multivariable logistic regression) 1183 GPs 30.6% (362) < 50 y, 32.6% (386) 50‐58 y, 36.8% (435) > 58 y Unknown
Clyne et al.19 2016 Republic of Ireland To explore GPs' perspectives regarding prescribing and potentially inappropriate prescribing (PIP) in older primary care patients Qualitative Semi‐structured interviews (Thematic analysis) 17 GPs Unknown 82% (14) > 10 y
Engberink et al.20 2013 Francea To document the determinants of the diagnosis and management of dementia by exploring GPs lived experience Qualitative Semi‐structured interviews (Phenomenological and pragmatic analysis) 12 GPs Unknown Unknown
Funk et al.21 2016 United States To understand how GPs make decisions regarding severe obesity treatment and bariatric surgery referral Qualitative Focus groups (Content analysis) 16 GPs 45.7 (SD, 11.3) Unknown
Hermush et al.22 2009 Israel To describe and evaluate the impact of a new model used in caring for older people in the community, based on geriatrician consultation, initiated by their GP and conducted by both in primary care clinics Quantitative Survey: medical records (Chi‐square test and one‐way ANOVA or t‐test) 542 Medical records Unknown Unknown
Herzog et al.23 2015 Germany To explore how GPs view their professional mandates and capacities to provide comprehensive care for older people with complex health problems Qualitative Semi‐structured interviews (Open coding on a case basis and reiterated inter‐case comparison) 10 GPs Unknown Unknown
Jansen et al.24 2017 Australia To explore GPs' decision making about primary cardiovascular disease prevention in older patients Qualitative Semi‐structured interviews (Thematic analysis) 25 GPs 20% (5) < 40 y, 4% (1) 40‐49 y, 40% (10) 50‐59 y, 36% (9) > 60 y 8% (2) < 10 y, 16% (4) 10‐19 y, 28% (7) 20‐29 y, 48% (12) > 30 y
Kenning et al.25 2013 United Kingdom To explore how GPs and patients understand and experience multimorbidity and how these accounts differ, and how they affect attitudes and engagement with self‐management Qualitative Semi‐structured interviews (Thematic analysis) 13 GPs Unknown 20.23 (range, 8‐36)
Kristensen et al.26 2017 Denmark To explore GPs perceptions and assessment of self‐care ability in patients with multiple chronic conditions who have difficulty following treatment Qualitative In‐depth semi‐structured interviews (Systematic text condensation) 12 GPs (range, 37‐69) (range, 1‐41)
Laursen et al.27 2018 Denmark To explore whether GPs experienced barriers towards medication reviews in patients with multimorbidity and polymedication, and how a clinical pharmacologist with a focus on pharmacotherapy can support the GPs in an outpatient clinic Qualitative In‐depth semi‐structured interviews (Content analysis) 14 GPs Unknown 15
Loeb et al.28 2012 United States To examine GPs' perceptions of patient, GP and system factors that affect the care of complex patients with mental and medical illness Qualitative In‐depth semi‐structured interviews (Inductive, participatory, team‐based approach) 15 GPs 38 (range, 29‐52) 7 (range, 0‐24)
Luijks et al.29 2012 The Netherlands To explore GPs’ considerations and main objectives in the management of multimorbidity and to explore factors influencing it Qualitative Focus groups with interview guide (Constant comparative analysis) 25 GPs 50 (range, 31‐63) 20 (range, 2‐36)
Luijks et al.30 2015 The Netherlands (1) To explore and describe the value GPs attribute to medical guidelines when they are applied to patients with multimorbidity, and to describe which benefits GPs experience from guideline adherence in these patients. (2) To identify limitations from guidelines adherence, as perceived by GPs, and to describe their empirical solutions to manage these obstacles Qualitative Focus groups with interview guide (Constant comparative analysis) 25 GPs 50 (range, 31‐63) 20 (range, 2‐36)
Magin et al.31 2015 Australia To explore potentially inappropriate prescribing (PIM) by GPs by examining the context of PIMs use in community‐dwelling older patients Qualitative Semi‐structured interviews (Thematic analysis) 22 GPs Unknown Unknown
Maio et al.32 2011 Italy To assess GPs’ knowledge of appropriate prescribing in older patients Quantitative Cross‐sectional survey: questionnaire (Descriptive statistical analysis; Chi‐square tests) 155 GPs 54.2 (range, 40‐69) 12% (17) ≤ 10 y, 28% (40) 11‐20 y, 22% (32) 21‐25 y, 38% (54) ≥ 26 y
Moen et al.33 2010 Sweden To explore GPs’ perspectives of treating older users of multiple medicines Qualitative Focus groups with interview guide (Framework approach) 31 GPs 54 (range, 33‐63) 22 (range, 5‐38)
Nixon et al.34 2016 Denmark To answer three research questions: (1) When does medication discontinuation occur in general practice? (2) How is discontinuing medication handled in the GP’s practice? (3) How do GPs make decisions about discontinuing medication? Qualitative Semi‐structured interviews; participant observations (Gioia method) 24 GPs Unknown 15.6 (range, 0‐26)
Press et al.35 2017 Israel To identify factors associated with the implementation rate of geriatric recommendations in GPs Quantitative Survey: medical records (Chi‐square or Fisher exact tests; one‐way ANOVA; Logistic regression) 488 Medical records, 98 GPs Unknown Unknown
Quinodoz et al.36 2016 Switzerlanda To increase knowledge on prioritisation's strategies used by GPs facing patients with multimorbidity Qualitative Semi‐structured interviews (Inductive thematic analysis) 5 GPs Unknown Unknown
Schuling et al.37 2012 The Netherlands To explore how experienced GPs feel about deprescribing medication in older patients with multimorbidity and to what extent they involve patients in these decisions Qualitative Focus groups (Central themes' extraction from selected and labelled fragments of transcripts) 29 GPs 54 (range, 39‐65) 100% (29) ≥ 5 y
Sinnige et al.38 2016 The Netherlands To gain insight into GPs’ medication management strategies for patients with polypharmacy, and to explore the GPs’ perspectives and needs on decision‐making support to facilitate this medication management Qualitative Focus groups (Framework approach) 12 GPs 56.3 (range, 46‐63) 24.8 (range, 10‐35)
Sinnott et al.39 2015 Republic of Ireland To explore how GPs make decisions when prescribing for multimorbid patients, with a view to informing intervention design Qualitative In‐depth interviews using chart‐stimulated recall (Grounded theory analysis) 20 GPs Unknown 30% (6) < 10 y, 70% (14) > 10 y
Smith et al.40 2010 Republic of Ireland To explore the views and attitudes of GPs and pharmacists managing patients with multimorbidity in primary care Qualitative Focus groups (Framework approach) 13 GPs Unknown Unknown
Vermunt et al.41 2019 The Netherlands To analyse GPs perceptions of the concept of goal setting within the context of shared decision‐making with older patients with multimorbidity Qualitative Semi‐structured interviews (Thematic analysis) 15 GPs 51 (SD, 6.6) (range, 3‐34)
Vermunt et al.42 2018 The Netherlands To develop conceptual descriptions of goal‐oriented care by examining the perspectives of GPs and clinical geriatricians, and how the concept relates to collaborative communication and shared decision making with elderly patients with multimorbidity Qualitative Semi‐structured interviews (Thematic analysis) 15 GPs 51 (SD, 6.6) (range, 3‐34)
Voigt et al.43 2016 Germany (1) To give an overview of rates of potentially inappropriate medications (PIM) prescription in older patients with multimorbidity and polymedication in the outpatient primary care setting; (2) To explain influencing factors on the prescription of PIM; (3) To examine knowledge and application of PRISCUS; (4) To understand GPs’ reasons for prescription of PIM Mixed Survey: medical records (Descriptive and multivariate statistical analysis) Interview with open questions (Content analysis) 1846 Medical records, 7 GPs (range, 43‐61) (range, 7‐22)
Wolf et al.44 2017 Germany (1) To examine if GPs distinguish between patients with chronic and acute episodic depression; (2) To describe the GPs’ self‐reported management of patients with chronic depression and to investigate the association between age, physical or mental comorbidity, and GPs’ treatment decisions Quantitative Cross‐sectional survey: questionnaire (Descriptive and explorative analyses using paired comparison) 220 GPs 54.4 (SD, 8.5) 27.2 (SD, 9.3)
Wrede et al.45 2013 Germany To examine to what extent GPs in consultations after a geriatric assessment set shared health priorities with older patients with multimorbidity and to what extent this was facilitated through patient‐centred behaviour Mixed Recordings of clinical consultations (Analysis scheme based on theoretical considerations; Categories occurrences; Chi‐square test and Mann‐Whitney U‐test) 43 Consultations, 28 GPs (range, 43‐57) (range, 7‐20)

Abbreviation: GPs, General Practitioners.

a

Article published in French. Extracted data have been translated by the second author who is a native French/English speaker.

In current literature, GPs’ clinical reasoning and its processes when managing multimorbidity are rarely explicitly mentioned. Terms such as clinical approach, management care, decision‐making, and follow‐up are mainly used when describing the specificities, challenges, and strategies used by GPs when it comes to multimorbidity.

According to our content analysis, we structured results in four sections, corresponding to four main themes: (1) the fundamental aim of multimorbidity's clinical approach; (2) specificities and challenges of multimorbidity's clinical approach; (3) clinical reasoning processes as perceived by GPs; (4) influencing factors of multimorbidity's clinical approach.

3.1. The fundamental aim of multimorbidity's clinical approach

Most GPs agree that the fundamental aim of their clinical approach of multimorbidity is not necessarily to establish a precise diagnosis, but rather to best preserve and optimise the patient's quality of life.16, 24, 29, 31, 41, 42 Clinical reasoning in this context is about setting intermediate goals of care in an ongoing process that adapts to the patients’ constant evolution and contributes to preserve their quality of life.

Incorporating quality of life considerations in therapeutic decision‐making means to individualise treatment by adopting a patient‐centred approach.23 Patient's demands, preferences, and priorities in life serve as a reference point in clinical reasoning, which could facilitate decision‐making.25, 29, 31, 36, 37, 38, 42 This can be achieved only through a long‐term therapeutic alliance and successful communication between the GP and the patient.15, 16, 23, 26, 29, 34, 36, 42, 45

Adopting a patient‐centred approach raises the question of sharing the decision‐making process with the patient, which was addressed by several studies.21, 24, 29, 33, 36, 37, 39, 41, 42, 45 Ideally, the GP should discuss with the patient and “jointly determine which goals [of care] are relevant and which steps should be taken in pursuing those goals [...].”41 (p5) But, as shown by some studies, sharing decision‐making is not as easily implemented.24, 42, 45 Despite recognising the importance of incorporating patient's values in decision‐making42 and of implementing collaborative goals‐setting,41 translating this into practice may be very complex and not always possible or even beneficial.

Taking part in the decision‐making process requires a high level of investment on the part of the patients, who are not always able to provide it because of their multiple medical conditions, and possible additional cognitive impairments, which make them unable to understand the various uncertainties and potential conflicts related to decision‐making. Some GPs feel that these patients prefer not to be involved in decisions.39

Even when the patient can effectively participate in the decision‐making process, GPs and patients do not always identify health problems in the same way26, 41 and the patient's preferences and priorities are not necessarily aligned with the GP’s treatment plan.42, 45

3.2. Specificities and challenges of multimorbidity's clinical approach

Most studies highlighted the specificities of managing patients with multimorbidity as well as the potential difficulties encountered by GPs reasoning in that context. The following themes show how clinical reasoning might implicitly take place.

3.2.1. Lack of guidelines

GPs agree that one of the main differences between managing a single disease vs multimorbidity is the lack of guidelines, an issue which was discussed by numerous articles.15, 33, 36, 37, 38, 39, 40, 43

Generally, GPs treasure the availability of guidelines because they provide guidance to medical decision‐making, but at the same time, they express a feeling of restraint.30, 33, 37 They are aware that their strict application in the case of multimorbidity is not only difficult but even potentially counterproductive or dangerous for the patient.18, 25, 26, 29, 30, 33, 40 Indeed, single disease guidelines can be conflicting, which impedes using several guidelines for a given patient.25 In addition, older patients are rarely represented in existing guidelines.15, 30, 33 This lack of guidelines adapted to multimorbidity leads GPs to a form of uncertainty25 ; they generally feel ill‐equipped and uncomfortable.15, 33, 40

3.2.2. Collaboration and coordination between healthcare professionals

The management of patients suffering from multimorbidity involves the participation of several healthcare professionals. Close collaboration and coordination with them were recognised by GPs as crucial to ensure optimal care and reduce risks (eg, polypharmacy).17, 22, 23, 27, 38, 43 But in daily practice this interprofessional collaboration is often poor or even absent.15, 19, 27, 37, 38, 40 It seems to be the same regarding clinical reasoning shared between healthcare professionals. For example, one paper highlighted that consulting a specialist or a pharmacist was rarely considered, as GPs wanted to optimise the patient's condition themselves first. It is only if the patient's condition did not improve, that they would be likely to deliberate with a specialist.38

From the perspective of GPs, the specialists essentially focus on the disease and rarely adopt a patient‐centred approach.16, 27, 39, 43 In contrast, GPs perceive their approach as more holistic,16, 23, 29 considering “all aspects of the patient.”27 (p3) They see themselves as being at the heart of the problem20 and consequently in a privileged position to take on the role of coordinators of care.16, 29, 36, 40 However, the potential lack of communication with specialists makes this role challenging. This leads to poor coordination which might have negative consequences on the quality of care and patients’ outcomes.32, 33

3.2.3. Polypharmacy and deprescribing

Many articles highlight issues relating to the management of polypharmacy and more specifically to deprescribing.14, 15, 16, 17, 18, 19, 37, 38, 39, 40

Following multiple guidelines and the limited collaboration and coordination between healthcare professionals can potentially lead to polypharmacy, with harmful effects on patients.16, 25, 27, 29, 33, 40 Nevertheless, clinical reasoning with the perspective of discontinuing medication and consequently the practice of deprescribing are rarely implemented.18, 34

Several explanations are reported in the literature. The routine of prescribing is so anchored in medical practice that a concerted effort is needed to even consider the possibility of discontinuing the medication.34 Furthermore, it seems difficult for the GPs to identify the appropriate time to discuss discontinuation with their patients.34 In this regard, one study showed that most GPs consider that patients might perceive stopping a long‐prescribed treatment as an abandonment of their care18, 37 and that their patients expected medication prescriptions from them.18 Another explanation lies in the fact that some GPs, when in doubt, prefer to adopt a “conservative approach”31 (p137) and choose the “safer option”34 (p6) which is to continue the prescribing and thus maintain the status quo.15, 19, 39 Finally, GPs sometimes hesitate to change or stop a medication when it was prescribed by a medical specialist.16, 31, 38, 40 Contrary to what one might think in the context of collaborative reasoning, GPs seem to perceive the influence of other prescribers’ opinions as a significant barrier to deprescribing.14, 17, 19, 33, 37, 38, 40

Despite these barriers, some GPs seem to deprescribe in a systematic way,34 which seems to rely on specific reasoning strategies. These GPs create deliberately what the authors called “situations of dissonance”34 (p4) especially by scheduling regular check‐ups and actively eliciting patient's experience with taking medication.34, 38 This reveals discontinuation cues, drawing the GP’s attention to the possibility of discontinuing medication, which in turn increased the likelihood of enacting deprescribing.

3.3. Clinical reasoning processes as perceived by GPs

3.3.1. An “intuitive” reasoning

In the context of great uncertainty which characterises multimorbidity management, most GPs describe their reasoning as essentially intuitive (intuitive outlook20; “internal logic or intuitive knowledge”15 (p1940)) and relied on “guesswork,”40 (pe290) “hunches and best guesses,”39 (pe187) “gut feeling,”15 (p1940) and “common sense”.30 (p4)

Generally, GPs seem to perceive this intuitive reasoning as less accurate and thus not acceptable.15, 30, 39 Nevertheless, it is clear from their descriptions that their reasoning goes beyond mere intuition. It is, indeed, enriched by their medical knowledge and clinical experience,15, 36, 38, 39 and rooted in a deep understanding of the individual patient achieved through ongoing doctor‐patient relationship.26, 39

Amongst the reasoning processes identified in the literature, emphasis was placed on searching for balance and prioritisation.

3.3.2. Searching for balance

The main reason why GPs think they only use intuition and common sense is the absence of appropriate guidelines. Given this, there seems to be a process of finding the right balance between what the guidelines recommend to do and what the GP thinks is the best clinical approach for a given patient.30, 39 Searching for balance is a complex process that requires GPs to consider and weigh multiple factors simultaneously. Often this process is summed up as weighing up the risks and benefits of adhering to a certain guideline, prescribing (or deprescribing) a certain medication or lifestyle change, etc.15, 18, 24, 31, 33

The patient‐centred approach plays a fundamental role in this weighing process, allowing the GP to integrate the patient's requests, his/her perceived burden of treatment, and the potential benefit the GP aims to reach.29, 36 In this regard, an interesting concept has emerged from one article: “satisficing”.39 Satisficing means “settling for chronic disease management that was satisfactory and sufficient, given the particular circumstances of that patient.”39 (pe186) Searching for a balance between optimal disease management and patient‐centred care implies for the GPs to accept lower levels of disease control than recommended by the guidelines.38, 39

3.3.3. Prioritisation

Another reasoning process essential to the management of multimorbidity is prioritisation.15, 20, 21, 29, 36, 43, 45 Prioritisation is described as a way to decide amongst the best choice or best guess the GP can make for a given patient.36 This may involve choosing between treating one comorbidity or another, choosing between different treatment or test, etc. This process of decision‐making should prioritise the patient's comfort and quality of life, even at the expense of suboptimal treatment.29, 43 Nevertheless, the way in which these decisions are made was not precisely described and thus remains unclear.

3.4. Influencing factors of multimorbidity's clinical approach

Several studies examine factors (ie, healthcare system, patient, and GP’s characteristics) which may influence GPs’ clinical approach to multimorbidity.15, 17, 18, 19, 32, 33, 35, 37, 38, 39, 40, 43, 44

3.4.1. Healthcare system's characteristics

In a few articles, GPs describe the healthcare system as a barrier (“cumbersome system”28 (p950)) to optimal multimorbidity clinical approach. In that case, clinical context is characterised by the fragmentation of care,19, 28, 29 lack of time and resources,23, 28, 29, 33, 38, 40, 43 and a resulting increased workload,40 which could negatively impact the GPs’ clinical reasoning and impedes GPs to care for patients adequately.

3.4.2. Patient's characteristics

Three quantitative studies have examined the influence of several patient's characteristics on the GPs’ clinical approach of multimorbidity. The first study35 found that a low patient's functional state and a high burden of chronic comorbidity were associated with a low rate of implementation of recommendations. The second study18 highlighted that the patient's understanding of the risk of taking a medication, his/her age, and medical history were amongst the most important factors to consider in deciding whether or not to prescribe or continue a medication. The third study44 showed that the kind of comorbidity affecting the patient (severe physical comorbidities, psychiatric disorder, substance abuse) determines the GP’s treatment decisions.

A few qualitative studies further confirm the influencing role of patient's characteristics. Co‐existing psychiatric disorders, cognitive impairment, and poor communication skills negatively affect the delivery of care.26, 28, 29 Patient's age, vitality, frailty, prognosis, and life expectancy seem to influence medication management33, 38 and more general medical decisions.24, 29 Finally, the patient's social context was considered important for the focus of the treatment.38

3.4.3. GP’s characteristics

Four quantitative studies have examined the influence of main GP’s characteristics on multimorbidity's clinical approach. The first study35 showed that no tested GPs’ characteristics (age, sex, seniority, and specialisation) were associated with the rate of implementation of recommendations. The second study18 highlighted that GPs’ age, practicing a form of complementary medicine, and having high proportions of patients with multimorbidity were associated with prescribe or continue a medication. The third study44 showed that the practice size (single‐handed vs group) and additional qualification of psychosomatic basic care were associated with GP’s treatment decisions. The fourth study32 showed that having a high vs low score in knowledge of appropriate prescribing recommendation (Beers criteria) was associated with the number of years in practice: the more years of experience GPs have, the lesser their knowledge. The role of clinical experience was also highlighted by a qualitative study,33 but in this case, the effect was positive: with experience, the GPs were able to wait before initiating a new treatment or feel more secure when discontinuing or changing treatment.

Emotional strain may also play a role. A number of negative emotions seem to accompany GPs’ clinical practice when dealing with multimorbidity: fear, anxiety, frustration, as well as feeling guilty, overwhelmed, isolated or inadequate.15, 17, 25, 27, 28, 33, 37, 39, 40 These feelings appear especially when “GPs’ conviction conflicts with either that of a specialist or the guidelines or when they are at the risk of being reported by patients for malpractice”.33 (p73) Studies highlighted how they may influence the GPs’ clinical decisions, especially leading to clinical inertia and maintain the status quo.37, 39 Furthermore, some GPs reported that treating such patients may threaten their “resolve and resilience, leading to the negativity that might spill over into the consultation”.25 (p4)

4. DISCUSSION

GPs often struggle to describe the clinical reasoning processes they use, even though they are at the core of their expertise.46, 47 We also found this issue in the analysis of our results concerning multimorbidity.

GPs mostly aim to preserve the patient's quality of life, although this may sometimes mean to give secondary importance to the diagnostic approach or categorisation of symptoms, signs, and test results.48, 49 In that respect, patient's values and priorities are determining factors to be taken into account in GPs’ clinical reasoning.

When GPs explicit their clinical reasoning, they describe it as something essentially intuitive. Nevertheless, our results show how GPs also use, more or less consciously, much more analytical clinical reasoning. For example, our results highlight the challenges relative to the ongoing process of prioritisation, as well as the one of always weighing up the risks and benefits for the patient. In this clinical reasoning, there is no single correct plan, but competing priorities and unavoidable uncertainties.9, 12, 50

These findings are consistent with emerging literature naming these clinical reasoning processes therapeutic reasoning,51 or management reasoning.11, 50 As stated by Cook et al.,9 this kind of clinical reasoning, in contrast to the search for a diagnosis, involves negotiation with the patient, ongoing care monitoring, and continuous readjustment of the management plan.

Numerous research has shown that clinical reasoning relies on two major systems: System 1, an immediate and intuitive approach, and System 2, a more conscious and analytical approach.52, 53, 54 Dual‐process theory posits that Systems 1 and 2 are at play simultaneously.55 The way both systems are activated is still under debate56; further research should be undertaken to investigate how these processes operate and interact, especially in the context of multimorbidity. According to Cook et al.,9 we could make the hypothesis that this kind of longitudinal reasoning is even more complex, as it also requires the close collaboration of the patient and relatives, as well as the involvement of other healthcare professionals, keeping in mind that this reasoning process is never‐ending. More than that, decisions or plans are made, already knowing or expecting that they will evolve and change.

This review showcases contrasting results on the role of GPs’ clinical experience in their practice of prescription.32, 33 This discrepancy may echo the way GPs’ organise their knowledge and the richness of their illness scripts in relation to multimorbidity.49 Keeping in mind that how these illness scripts develop and differ potentially, remains unclear and requires further research.

Our results also highlight that there are many obstacles still to be resolved in order to implement shared decision‐making processes as well as more collaborative reasoning. These findings are consistent with those of other studies.57, 58, 59, 60, 61, 62 As Wagner emphasised, medical care must be transformed into a more proactive, holistic, and collaborative model.63, 64

The lack of guidelines adapted to multimorbidity, and the necessity to navigate these different issues make GPs feel uncertain, ill‐equipped, and sometimes guilty. This last point is crucial, since it brings forth some challenges: the first lies in the need for GPs to be familiar with their clinical reasoning processes in order to make sense of their approach and value it, rather than feeling uncomfortable for not strictly following the guidelines. The second is related to teaching: the ability to supervise in the clinical setting requires an understanding of the clinical reasoning strategies that are used,65, 66, 67 in order to explicit them to the students,68 and prevent potential clinical reasoning difficulties.69, 70, 71 Further research is thus needed to deepen our knowledge in this field. An increased overall understanding of these processes would allow GPs to develop an explicit role model and thereby improve their students’ learning processes during supervision sessions. This will allow future generations of GPs to integrate these findings during their training and consequently, to manage to the best of their abilities the care of patients suffering from multimorbidity in their practice.

4.1. Strengths and limitations

To the best of our knowledge, this is the first systematic review synthetising and critically discussing current evidence on the GPs’ clinical reasoning processes at play during the long‐term follow‐up of patients suffering from multimorbidity. Some strengths of our review include its focus on a specific and clinically relevant question, a comprehensive search strategy, and a rigorous inclusion method with interrater agreement. We were able to include 32 studies14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45 with quantitative, qualitative, and mixed‐methods designs, representing an important and diversified data set. The main themes reported in this review, which were developed from data of 2 061 GPs and 2 876 medical records, indicate considerable overlap from each of the primary studies and constitute a solid scientific basis for further research.

The term “clinical reasoning” was quite rarely used in medical literature and clinical reasoning processes were almost never explicitly described, especially when it comes to the long‐term follow‐up of patients. To account for this, we used a broad search strategy. In addition, the search in biomedical databases was combined with that in nonbiomedical databases to ensure that relevant articles in the psychology and education literature were not missed. A major challenge of this review was to extract relevant information from data often not specifically made to answer our research question. This has required a meticulous analysis of the articles’ content and a complex process of putting data into perspective. A close collaboration between reviewers with different backgrounds (psychologists and doctors specialised in family medicine and geriatrics) with proven expertise in medical education was of paramount importance to succeed in this task.

Although we performed a comprehensive search for published studies, we cannot exclude that relevant data were omitted because of the exclusion of non‐English or French articles and conference abstracts. No unpublished data were obtained via contact with authors.

5. CONCLUSIONS

Whilst GPs perceive their clinical reasoning to be predominantly intuitive, our results highlight that this kind of longitudinal reasoning is more analytical and complex, as there are many uncertainties and competing ongoing priorities to manage. Moreover, sharing their clinical reasoning with patients and other healthcare professionals remains challenging. Deepening our knowledge of these processes could allow GPs to develop an explicit understanding of their clinical reasoning processes and enable them to share these insights during their clinical supervision with trainees.

DISCLOSURES

The authors declare no conflict of interest.

AUTHOR CONTRIBUTIONS

Dr Cairo Notari and Prof Audétat have full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. All authors contributed substantially to this study and are in agreement with the content of the manuscript. Concept and design: Cairo Notari, Audétat; Acquisition, analysis, or interpretation of data: All authors; Drafting of the manuscript: Cairo Notari, Audétat, Sader; Critical revision of the manuscript for important intellectual content: All authors; Supervision: Cairo Notari. Final approval of the manuscript: All authors.

Supporting information

Supplementary Material

ACKNOWLEDGEMENTS

We would like to thank Mafalda Vieira Burri, librarian specialised in the medical science field at the Medical Faculty Library of the University of Geneva, for her advice on the search strategy. She received no compensation for this work. We would also like to thank Amir Moussa, administrative assistant at the Primary Care Unit of the University of Geneva, for his help in retrieving and storing the database of full‐text articles.

Cairo Notari S, Sader J, Caire Fon N, et al. Understanding GPs’ clinical reasoning processes involved in managing patients suffering from multimorbidity: A systematic review of qualitative and quantitative research. Int J Clin Pract. 2021;75:e14187. 10.1111/ijcp.14187

DATA AVAILABILITY STATEMENT

Data sharing is not applicable to this article as no new data were created or analyzed in this study.

REFERENCES

  • 1.Multimorbidity: Technical Series on Safer Primary Care. Geneva: World Health Organization; 2016. Licence: CC BY‐NC‐SA 3.0 IGO. [Google Scholar]
  • 2.Starfield B, Lemke KW, Bernhardt T, Foldes SS, Forrest CB, Weiner JP. Comorbidity: implications for the importance of primary care in ‘case’ management. Ann Fam Med. 2003;1:8‐14. 10.1370/afm.1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Starfield B. New paradigms for quality in primary care. Br J Gen Pract. 2001;51:303‐309. [PMC free article] [PubMed] [Google Scholar]
  • 4.Montague T, Gogovor A, Aylen J, et al. Patient‐centred care in Canada: key components and the path forward. Healthc Q. 2017;20:50‐56. 10.12927/hcq.2017.25136 [DOI] [PubMed] [Google Scholar]
  • 5.Excoffier S, Herzig L, N’Goran AA, Deruaz‐Luyet A, Haller DM. Prevalence of multimorbidity in general practice: a cross‐sectional study within the Swiss Sentinel Surveillance System (Sentinella). BMJ Open. 2018;8:e019616. 10.1136/bmjopen-2017-019616 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Darer JD, Hwang W, Pham HH, Bass EB, Anderson M. More training needed in chronic care: a survey of U.S. Physicians. Acad Med. 2004;79:541‐548. [DOI] [PubMed] [Google Scholar]
  • 7.Audétat M‐C, Laurin S, Sanche G, et al. Clinical reasoning difficulties: a taxonomy for clinical teachers. Med Teach. 2013;35:e984‐e989. 10.3109/0142159X.2012.733041 [DOI] [PubMed] [Google Scholar]
  • 8.Durning SJ, Artino AR Jr, Schuwirth L, van der Vleuten C. Clarifying assumptions to enhance our understanding and assessment of clinical reasoning. Acad Med. 2013;88:442‐448. 10.1097/ACM.0b013e3182851b5b [DOI] [PubMed] [Google Scholar]
  • 9.Cook DA, Durning SJ, Sherbino J, Gruppen LD. Management reasoning: implications for health professions educators and a research agenda. Acad Med. 2019;94:1310‐1316. 10.1097/ACM.0000000000002768 [DOI] [PubMed] [Google Scholar]
  • 10.Higgs J, Jones MA. Clinical decision making and multiple problem spaces. In: Higgs J, Jones M, Loftus S, Christensen N, eds. Clinical reasoning in the health professions (pp. 3‐17). Edinburgh: Elsevier Ltd; 2008. [Google Scholar]
  • 11.Ilgen JS, Eva KW, Regehr G. What’s in a label? Is diagnosis the start or the end of clinical reasoning? J Gen Intern Med. 2016;31:435‐437. 10.1007/s11606-016-3592-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Audétat M‐C, Sader J, Cairo Notari S, et al. Understanding and promoting clinical reasoning in chronic and multimorbid conditions: a call for GPs and healthcare professionals. Health. 2019;11:1338‐1346. 10.4236/health.2019.1110103 [DOI] [Google Scholar]
  • 13.Hong QN, Pluye P, Fàbregues S, et al. Mixed Methods Appraisal Tool (MMAT), version 18, User guide. Registration of Copyright (#1148552), Canadian Intellectual Property Office, Industry Canada.
  • 14.Ailabouni NJ, Nishtala PS, Mangin D, Tordoff JM. General practitioners’ insight into deprescribing for the multimorbid older individual: a qualitative study. Int J Clin Pract. 2016;70:261‐276. 10.1111/ijcp.12780 [DOI] [PubMed] [Google Scholar]
  • 15.Anderson K, Foster M, Freeman C, Luetsch K, Scott I. Negotiating, “unmeasurable harm and benefit”: perspectives of general practitioners and consultant pharmacists on deprescribing in the primary care setting. Qual Health Res. 2017;27:1936‐1947. 10.1177/1049732316687732 [DOI] [PubMed] [Google Scholar]
  • 16.Anthierens S, Tansens A, Petrovic M, Christiaens T. Qualitative insights into general practitioners views on polypharmacy. BMC Fam Pract. 2010;11:65. 10.1186/1471-2296-11-65 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Borgström Bolmsjö B, Palagyi A, Keay L, Potter J, Lindley RI. Factors influencing deprescribing for residents in advanced care facilities: insights from general practitioners in Australia and Sweden. BMC Fam Pract. 2016;17:152. 10.1186/s12875-016-0551-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Carrier H, Zaytseva A, Bocquier A, et al. GPs’ management of polypharmacy and therapeutic dilemma in patients with multimorbidity: a cross‐sectional survey of GPs in France. Br J Gen Pract. 2019;69:e270‐e278. 10.3399/bjgp19X701801 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Clyne B, Cooper JA, Hughes CM, Fahey T, Smith SM. Smith SM and on behalf of the OPTI‐SCRIPT study team. 'Potentially inappropriate or specifically appropriate?' Qualitative evaluation of general practitioners views on prescribing, polypharmacy and potentially inappropriate prescribing in older people. BMC Fam Pract. 2016;17. 10.1186/s12875-016-0507-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Engberink AO, Pimouguet C, Amouyal M, Gerassimo O, Bourrel G, Berr C. Déterminants de la prise en charge des patients déments dépistés dans une cohort populationnelle : approche qualitative auprès de leurs médecins généralistes [Determinants of support for dementia patients in general practice: a qualitative approach based on an epidemiological cohort]. Geriatr Psychol Neuropsychiatr Vieil. 2013;11:157‐167. 10.1684/pnv.2013.0413 [DOI] [PubMed] [Google Scholar]
  • 21.Funk LM, Jolles SA, Greenberg CC, et al. Primary care physician decision making regarding severe obesity treatment and bariatric surgery: a qualitative study. Surg Obes Relat Dis. 2016;12:893‐902. 10.1016/j.soard.2015.11.028 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Hermush V, Daliot D, Weiss A, Brill S, Beloosesky Y. The impact of geriatric consultation on the care of the elders in community clinics. Arch Gerontol Geriatr. 2009;49:260‐262. 10.1016/j.archger.2008.09.007 [DOI] [PubMed] [Google Scholar]
  • 23.Herzog A, Gaertner B, Scheidt‐Nave C, Holzhausen M. ‘We can do only what we have the means for’general practitioners’ views of primary care for older people with complex health problems. BMC Fam Pract. 2015;16:35. 10.1186/s12875-015-0249-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Jansen J, McKinn S, Bonner C, et al. General practitioners' decision making about primary prevention of cardiovascular disease in older adults: a qualitative study. PLoS One. 2017;12(1):e0170228. 10.1371/journal.pone.0170228 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Kenning C, Fisher L, Bee P, Bower P, Coventry P. Primary care practitioner and patient understanding of the concepts of multimorbidity and self‐management: a qualitative study. SAGE Open Med. 2013;1:2050312113510001. 10.1177/2050312113510001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Kristensen MAT, Hølge‐Hazelton B, Waldorff FB, Guassora AD. How general practitioners perceive and assess self‐care in patients with multiple chronic conditions: a qualitative study. BMC Fam Pract. 2017;18:109. 10.1186/s12875-017-0679-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Laursen J, Kornholt J, Betzer C, Petersen TS, Christensen MB. General practitioners’ barriers toward medication reviews in polymedicated multimorbid patients: how can a focus on the pharmacotherapy in an outpatient clinic support GPs? Health Serv Res Manag Epidemiol. 2018;5:1‐7. 10.1177/2333392818792169 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Loeb DF, Bayliss EA, Binswanger IA, Candrian C, Degruy FV. Primary care physician perceptions on caring for complex patients with medical and mental illness. J Gen Intern Med. 2012;27:945‐952. 10.1007/s11606-012-2005-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.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:e503‐e510. 10.3399/bjgp12X652373 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Luijks HD, Lucassen PL, Van Weel C, Loeffen MJW, Lagro‐Janssen AL, Schermer TR. How GPs value guidelines applied to patients with multimorbidity: a qualitative study. BMJ Open. 2015;5:e007905. 10.1136/bmjopen-2015-007905 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Magin P, Goode S, Pond D. GPs, medications and older people: a qualitative study of general practitioners' approaches to potentially inappropriate medications in older people. Australas J Ageing. 2015;34:134‐139. 10.1111/ajag.12150 [DOI] [PubMed] [Google Scholar]
  • 32.Maio V, Jutkowitz E, Herrera K, Abouzaid S, Negri G, Del Canale S. Appropriate medication prescribing in elderly patients: how knowledgeable are primary care physicians? A survey study in Parma. Italy. J Clin Pharm Ther. 2011;36:468‐480. 10.1111/j.1365-2710.2010.01195.x [DOI] [PubMed] [Google Scholar]
  • 33.Moen J, Norrgård S, Antonov K, Nilsson JLG, Ring L. GPs' perceptions of multiple‐medicine use in older patients. J Eval Clin Pract. 2010;16:69‐75. 10.1111/j.1365-2753.2008.01116.x [DOI] [PubMed] [Google Scholar]
  • 34.Nixon M, Kousgaard MB. Organising medication discontinuation: a qualitative study exploring the views of general practitioners toward discontinuing statins. BMC Health Serv Res. 2016;16:226. 10.1186/s12913-016-1495-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Press Y, Punchik B, Kagan E, Barzak A, Freud T. Which factors affect the implementation of geriatric recommendations by primary care physicians? Isr J Health Policy Res. 2017;6:7. 10.1186/s13584-017-0134-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Quinodoz A, Déruaz‐Luyet A, N'Goran AA, Herzig L. Stratégies de priorisation dans la prise en charge des patients multimorbides en médecine de famille [Prioritization strategies in the care of multimorbid patients in family medicine]. Rev Med Suisse. 2016;12:928‐931. [PubMed] [Google Scholar]
  • 37.Schuling J, Gebben H, Veehof LJG, Haaijer‐Ruskamp FM. Deprescribing medication in very elderly patients with multimorbidity: the view of Dutch GPs. A qualitative study. BMC Fam Pract. 2012;13:56. 10.1186/1471-2296-13-56 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Sinnige J, Korevaar JC, van Lieshout J, Westert GP, Schellevis FG, Braspenning JC. Medication management strategy for older people with polypharmacy in general practice: a qualitative study on prescribing behaviour in primary care. Br J Gen Pract. 2016;66:e540‐e551. 10.3399/bjgp16X685681 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Sinnott C, Mc Hugh S, Boyce MB, Bradley CP. What to give the patient who has everything? A qualitative study of prescribing for multimorbidity in primary care. Br J Gen Pract. 2015;65:e184‐e191. 10.3399/bjgp15X684001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Smith SM, O'Kelly S, O'Dowd T. GPs' and pharmacists' experiences of managing multimorbidity: a ‘Pandora's box’. Br J Gen Pract. 2010;60:e285‐e294. 10.3399/bjgp10X514756 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Vermunt NP, Elwyn G, Westert GP, Harmsen M, Rikkert MO, Meinders M. 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. 2019;20:76. 10.1186/s12875-019-0966-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Vermunt NP, Harmsen M, Elwyn G, et al. A three‐goal model for patients with multimorbidity: a qualitative approach. Health Expect. 2018;21:528‐538. 10.1111/hex.12647 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Voigt K, Gottschall M, Köberlein‐Neu J, Schübel J, Quint N, Bergmann A. Why do family doctors prescribe potentially inappropriate medication to elderly patients? BMC Fam Pract. 2016;17:93. 10.1186/s12875-016-0482-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Wolf F, Freytag A, Schulz S, et al. German general practitioners’ self‐reported management of patients with chronic depression. BMC Psychiatry. 2017;17:401. 10.1186/s12888-017-1564-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Wrede J, Voigt I, Bleidorn J, Hummers‐Pradier E, Dierks ML, Junius‐Walker U. Complex health care decisions with older patients in general practice: patient‐centeredness and prioritization in consultations following a geriatric assessment. Patient Educ Couns. 2013;90:54‐60. 10.1016/j.pec.2012.07.015 [DOI] [PubMed] [Google Scholar]
  • 46.Audétat M‐C, Lubarsky S, Blais J‐G, Charlin B. Clinical reasoning: where do we stand on identifying and remediating difficulties? Creat Educ. 2013;4:42‐48. 10.4236/ce.2013.46A008 [DOI] [Google Scholar]
  • 47.Eva KW. What every teacher needs to know about clinical reasoning. Med Educ. 2005;39:98‐106. 10.1111/j.1365-2929.2004.01972.x [DOI] [PubMed] [Google Scholar]
  • 48.Custers EJFM, Regehr G, Norman GR. Mental representations of medical diagnostic knowledge: a review. Acad Med. 1996;71:S55‐S61. [DOI] [PubMed] [Google Scholar]
  • 49.Charlin B, Boshuizen HPA, Custers EJFM, Feltovich PJ. Scripts and clinical reasoning. Med Educ. 2007;41:1178‐1184. 10.1111/j.1365-2923.2007.02924.x [DOI] [PubMed] [Google Scholar]
  • 50.Cook DA, Sherbino J, Durning SJ. Management reasoning: beyond the diagnosis. JAMA. 2018;319(22):2267‐2268. 10.1001/jama.2018.4385 [DOI] [PubMed] [Google Scholar]
  • 51.McBee E, Ratcliffe T, Picho K, et al. Contextual factors and clinical reasoning: differences in diagnostic and therapeutic reasoning in board certified versus resident physicians. BMC Med Educ. 2017;17:211. 10.1186/s12909-017-1041-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Kahneman D. Thinking, Fast and Slow. Farrar, Straus and Giroux; 2011. [Google Scholar]
  • 53.Norman G. Research in clinical reasoning: past history and current trends. Med Educ. 2005;39:418‐427. 10.1111/j.1365-2929.2005.02127.x [DOI] [PubMed] [Google Scholar]
  • 54.Norman G. Dual processing and diagnostic errors. Adv Health Sci Educ Theory Pract. 2009;14:37‐49. 10.1007/s10459-009-9179-x [DOI] [PubMed] [Google Scholar]
  • 55.Pelaccia T, Tardif J, Triby E, Charlin B. An analysis of clinical reasoning through a recent and comprehensive approach: the dual‐process theory. Med Educ Online. 2011;16:5890. 10.3402/meo.v16i0.5890 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Norman G, Monteiro S, Sherbino J. Is clinical cognition binary or continuous? Acad Med. 2013;88:1058‐1060. 10.1097/ACM.0b013e31829a3c32 [DOI] [PubMed] [Google Scholar]
  • 57.Stacey D, Légaré F, Pouliot S, Kryworuchko J, Dunn S. Shared decision making models to inform an interprofessional perspective on decision making: A theory analysis. Patient Educ Couns. 2010;80:164‐172. 10.1016/j.pec.2009.10.015 [DOI] [PubMed] [Google Scholar]
  • 58.Kiesewetter J, Fischer F, Fischer MR. Collaborative Clinical Reasoning—A Systematic Review of Empirical Studies. J Contin Educ Health Prof. 2017;37:123‐128. 10.1097/CEH.0000000000000158 [DOI] [PubMed] [Google Scholar]
  • 59.Col N, Bozzuto L, Kirkegaard P, et al. Interprofessional education about shared decision making for patients in primary care settings. J Interprof Care. 2011;25:409‐415. 10.3109/13561820.2011.619071 [DOI] [PubMed] [Google Scholar]
  • 60.Légaré F, Stacey D, Turcotte S, et al. Interventions for improving the adoption of shared decision making by healthcare professionals. Cochrane Database Syst Rev. 2014;15(9):CD006732. 10.1002/14651858.CD006732.pub3 [DOI] [PubMed] [Google Scholar]
  • 61.Couët N, Desroches S, Robitaille H, et al. Assessments of the extent to which health‐care providers involve patients indecision making: a systematic review of studies using the OPTION instrument. Health Expect. 2015;18:542‐561. 10.1111/hex.12054 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Politi MC, Clark MA, Ombao H, Dizon D, Elwyn G. Communicating uncertainty can lead to less decision satisfaction: a necessary cost of involving patients in shared decision making? Health Expect. 2011;14:84‐91. 10.1111/j.1369-7625.2010.00626.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Wagner EH. Chronic disease management: what will it take to improve care for chronic illness? Effect Clin Pract. 1998;1:2‐4. [PubMed] [Google Scholar]
  • 64.Wagner EH, Austin BT, Davis C, Hindmarsh M, Schaefer J, Bonomi A. Improving chronic illness care: translating evidence into action. Health Aff. 2001;20:64‐78. 10.1377/hlthaff.20.6.64 [DOI] [PubMed] [Google Scholar]
  • 65.Wilkerson L, Irby DM. Strategies for improving teaching practices: a comprehensive approach to faculty development. Acad Med. 1998;73:387‐396. [DOI] [PubMed] [Google Scholar]
  • 66.Kilminster S, Cottrell D, Grant J, Jolly BAMEE. AMEE Guide No. 27: Effective educational and clinical supervision. Med Teach. 2007;29:2‐19. 10.1080/01421590701210907 [DOI] [PubMed] [Google Scholar]
  • 67.Irby DM. Excellence in clinical teaching: knowledge transformation and development required. Med Educ. 2014;48:776‐784. 10.1111/medu.12507 [DOI] [PubMed] [Google Scholar]
  • 68.Audétat M‐C, Laurin S, Dory V, Charlin B, Nendaz MR. Diagnosis and management of clinical reasoning difficulties: AMEE GUIDE 117. Dundee, UK: Association for Medical Education in Europe (AMEE); 2018.
  • 69.Dory V, Roex A. Let’s talk about thinking. Med Educ. 2012;46:1147‐1149. 10.1111/medu.12038 [DOI] [PubMed] [Google Scholar]
  • 70.Audétat M‐C, Laurin S, Dory V, Charlin B, Nendaz MR. Diagnosis and management of clinical reasoning difficulties: Part II. Clinical reasoning difficulties: Management and remediation strategies. Med Teach. 2017;39:797‐801. 10.1080/0142159X.2017.1331034 [DOI] [PubMed] [Google Scholar]
  • 71.Nendaz MR, Perrier A. Diagnostic errors and flaws in clinical reasoning: mechanisms and prevention in practice. Swiss Med Wkly. 2012;142:w13706. 10.4414/smw.2012.13706 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Material

Data Availability Statement

Data sharing is not applicable to this article as no new data were created or analyzed in this study.


Articles from International Journal of Clinical Practice are provided here courtesy of Wiley

RESOURCES