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Research

Composition of general practices in Western countries and associations with their perceived ability to manage patients with chronic conditions: a secondary analysis of survey data

Adeline Cachou de Camaret, Pascal Wild, Nicolas Senn and Christine Cohidon
BJGP Open 2026; 10 (1): BJGPO.2024.0200. DOI: https://doi.org/10.3399/BJGPO.2024.0200
Adeline Cachou de Camaret
1 Department of Family Medicine, Centre of Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
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  • For correspondence: adeline.decamaret{at}gmail.com
Pascal Wild
2 PW Statistical Consulting, Laxou, France
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Nicolas Senn
1 Department of Family Medicine, Centre of Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
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Christine Cohidon
1 Department of Family Medicine, Centre of Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
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Abstract

Background Primary care teams (PCTs) are recognised to improve the quality of care. However, few studies have examined which PCT composition best meets patients’ primary care (PC) needs.

Aim To describe the composition of PCTs in 11 Western countries and investigate potential associations with GPs’ opinions about their practice’s ability to manage patients with chronic conditions and communicate with caregivers.

Design & setting A secondary analysis of the data from 11 Western countries that participated in the 2019 Commonwealth Fund International Health Policy Survey of Primary Care Physicians was conducted.

Method A hierarchical clustering algorithm was used to characterise different types of PCT according to the composition of the healthcare professionals (HCPs) making them up, in addition to GPs. Associations between practice types and two GP-reported indicators were subsequently assessed: their practice’s coordination with social services (SS) and other community providers (CPs); and ability to manage patients with chronic conditions.

Results Overall, 13 200 responses were analysed. Five types of PCT were characterised (traditional, multidisciplinary, nurse-centred, psychologist-centred, and physiotherapist-centred). The traditional type represented 51.6% of all PCTs; they were mainly composed of moderate percentages of all the HCPs. The multidisciplinary type (11.9%) were composed of high percentages of the different HCPs. After controlling for country, the multidisciplinary type reported better coordination with SS and CPs than did traditional ones (odds ratio 0.39, 95% confidence interval = 0.29 to 0.53).

Conclusion Multidisciplinary PCTs reported better outcomes than traditional ones regarding their coordination with SS and CPs, and perceived ability to manage patients with chronic conditions. These results should encourage governmental efforts to promote PC that uses multidisciplinary PCTs.

  • primary care team
  • chronic disease
  • model of care
  • primary health care
  • quality of health care
  • delivery of health care

How this fits in

If primary care teams (PCTs) are recognised to improve the quality of care, few studies have examined which PCT composition best meets patients’ primary care needs. The results of the present study show that multidisciplinary practices (composed of high percentages of the different healthcare professionals [HCPs]) reported better coordination with social services (SS) and other community providers (CPs), and greater ability to manage patients with chronic conditions than traditional ones (GP-centred model). These results should encourage GPs to move towards this type of organisational model, as well as encourage governmental efforts to promote a primary care that uses multidisciplinary PCTs.

Introduction

Populations are ageing rapidly in Western countries, contributing to an increased prevalence of chronic diseases and multimorbidity.1–3 Using integrated care, defined as ‘patient-centred, proactive, and well-coordinated care, making use of innovative technologies to support patient’s self-management and improving multidisciplinary collaboration between caregivers’,4,5 seems to be an effective means of ensuring accessible, cost-effective, high-quality care,6 especially for patients with multiple chronic conditions.7 GPs, working within communities, appear to be very well positioned to manage the coordination of care;8 however, the shortage of physicians in industrialised countries demonstrates the urgent need to develop new models of primary care (PC).9,10 This context has led to the emergence of new concepts such as ‘shared care plans’11 and new roles such as ‘case managers’.12,13

Developing interprofessional teams of HCPs appears to be an appropriate option for implementing patient-centred care reforms without overloading GPs.14 Some studies have shown that developing patient-centred medical homes (PCMHs) have improved the quality of care15 and interprofessional collaboration,16,17 and reduced costs,18–20 levels of clinician burnout,21,22 and emergency department use.23 Furthermore, patient co-management between physicians and advanced practice nurses (APNs) was demonstrated to improve clinical patient outcomes,24 potentially save costs,25 and alleviate individual clinician workloads.26 Integrating pharmacists, nutritionists, psychologists, and SS into PCTs increased the quality of care and improved patient outcomes.27–33

Although PCMHs and similar types of PC organisation have been described as models of care delivery that could improve the quality of care and reduce costs,14 many PC practices in Western countries (for example, Switzerland) still work with traditional staffing models, that is, GPs working single-handedly with limited or no multidisciplinary collaboration.34–36

The present study aimed to describe the composition of PCTs in 11 Western countries and investigate whether different types of PCT were associated with GPs’ views about their practice’s ability to manage patients with chronic conditions. According to the arguments discussed above, we hypothesised that multidisciplinary management of patients with chronic disease would be perceived as being of better quality by GPs.

Method

Commonwealth Fund international surveys

We extracted data from the 2019 Commonwealth Fund International Health Policy Survey of Primary Care Physicians. For more than two decades, the Commonwealth Fund has been conducting international surveys of nationally representative random samples of 13 200 PC physicians regarding their practice’s ability to manage the care of patients with complex needs, to communicate with other medical specialties and community-based providers, and to use health information technology.37 Australia, Canada, France, Germany, the Netherlands, New Zealand, Norway, Sweden, Switzerland, the UK, and the US participated in the 2019 edition.38,39 This multi-country study allows the inclusion of a wide variety of healthcare systems between different countries, particulary in terms of governance, financing, and cultural aspects.

Population and data collection

The 2019 survey’s study protocol has already been detailed elsewhere;38,39 thus, we only present its main characteristics relevant to our study. National samples of physicians were randomly selected from government or private lists of PC physicians, or for France, from a nationally representative panel of PC physicians.38 Experts in each country defined the medical specialties responsible for PC, recognising that roles, training, and scopes of practice varied across countries. GPs or family physicians were included in every country, with internists and paediatricians also sampled in Germany, Switzerland, and the US.38

Physicians were surveyed between January and June 2019 by post, via the internet, or by telephone, according to each country’s best practices for reaching physicians and maximising response rates.38,39 Data were weighted to align with national benchmarks for including key geographic and demographic aspects (sex, age, region, type of area, and medical specialty).38

Data

The questionnaire was designed by experts in research surveys, pretested in each country, adjusted with country-specific wording and translated as required to ensure comparability across countries. To investigate the composition of PCTs, we used the following question: ‘In your main practice, do the following healthcare professionals work on your team to provide care for your patients? a. Nurse(s), b. Advanced practice nurse(s) (for example, nurse practitioner[s]), c. Physician(s) or medical assistant(s), d. Nutritionist(s) or dietician(s), e. Pharmacist(s), f. Psychologist(s) or mental health professional(s), g. Physical therapist(s) or physiotherapist(s), h. Social worker(s).’ Response options were ‘Yes’ or ‘No’.

We then selected data from a question about coordination with CPs: ‘Do you or any other HCP working with you in your practice coordinate care with social services or other community providers?’ Response options were ‘Yes, frequently’, ‘Yes, occasionally’, or ‘Never’. We also included data from a question about the care management of chronic conditions: ‘How prepared is your practice, with respect to having sufficient skills and experience, to manage care for patients with chronic conditions?’ Response options were ‘Well prepared’, ‘Somewhat prepared’, and ‘Not prepared’.

Finally, we also selected variables for use as confounding factors in our logistic regressions. These variables included each country’s physicians’ sociodemographic characteristics (sex and age), practice location (rural or urban area), consultation durations, and communication habits with patients and other HCPs.

Statistical analysis

All statistical analyses were performed using Stata software (version 14.1). First, we used a hierarchical clustering algorithm, with complete linkage and a simple matching similarity coefficient, to characterise the different types of PCTs in the 11 countries, according to the composition of the HCPs making them up, in addition to GPs. The clusters were then interpreted and denominated according to the types of HCPs identified. We described the PCT types in each country by describing the distribution and frequencies of different kinds of HCPs. Second, we modelled the dependent variables of communication with CPs and ability to manage the care of patients with chronic conditions in logistic regressions as a function of selected physician and practice characteristics. The two dependent variables were dichotomised as follows: 1) regarding the coordination with SS and CPs, we modelled poor coordination with SS and other CPs (response ‘Never’, coded as 1) versus good coordination (grouping the responses ‘Yes, frequently’ and ‘Yes, occasionally’, coded as 0); and 2) regarding the ability to manage patients with chronic disease, we modelled poor ability (response ‘Not prepared’, coded as 1) versus good ability (grouping the responses ‘Somewhat prepared’ and ‘Well prepared’, coded as 0). For both dependent variables, each independent variable was introduced separately and, in a second stage, jointly, first without adjusting for the country (final model 1), and second, adjusting for the country (final model 2).

Results

Characteristics of the sample

Table 1 presents the main characteristics of the sample of responders by country. The questionnaire was completed by 13 200 GPs, representing a response rate ranging from 14.5% (Australia) to 48.7% (the Netherlands), with an overall average response rate of 29.1%. The proportion of female GPs was 46.0% (varying from 37.5%–55.0%). The proportion of GPs aged ≤44 years was 34.0% (varying from 1.7%–57.5%). Finally, GPs aged ≥65 years represented 13.7% (varying from 2.1%–17.9%).

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Table 1. Responders’ general sociodemographic characteristics and practice compositions in the 11 countries included in the 2019 Commonwealth Fund International Health Policy Survey of Primary Care Physicians (weighted data)

The non-physician HCPs most commonly present in practices were nurses (64.4%), followed by medical assistants (MAs; 44.4%). Other HCPs were present in varying percentages and with great variability depending on the country (Table 1).

Practice types according to the composition of their HCPs

The cluster analysis identified five types of practice according to their HCP composition. To improve readability, we denominated these as follows: traditional, multidisciplinary, nurse-centred, psychologist-centred, and physiotherapist-centred PCTs.

Traditional PCTs were the majority, making up 51.6% of practices internationally. In this kind of PCT, we found a vast majority of nurses (54.9%), followed by MAs (37.5%). Psychologist-centred PCTs were the second most common (18.7%), with every practice comprising psychologists. Multidisciplinary PCTs represented 11.9% of practices and were characterised by high proportions of all HCPs (94.8% comprised nurses, 100% social workers [SWs], 84.8% pharmacists, 73.9% nutritionists, 72.7% APNs, 48.7% physiotherapists, and 29.6% MAs). Nurse-centred PCTs, 11.9% of practices, were characterised by the significant presence of APNs (89.2%) and nurses (71.1%). Finally, physiotherapist-centred PCTs were the least represented type of practice (5.3%) (Figure 1).

Figure 1.
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Figure 1. Characterisation of types of primary care team (PCT) according to their compositions of different healthcare professionals (in addition to GPs) (N = 13 200). Overall proportions of types of PCTs: traditional, 51.6%; multidisciplinary, 11.9%; nurse-centred, 11.9%; psychologist-centred, 18.7%; and physiotherapist-centred, 5.3%.

Traditional practices were highly represented in all the countries, varying from 24% (Sweden) to 84% (Germany). Multidisciplinary practices were mainly found in North America (35% in Canada and 28% in the US). Nurse-centred practices were mainly represented among US practices (27%) and psychologist-centred practices were mainly present in Sweden (53%) (Figure 2).

Figure 2.
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Figure 2. Types of primary care team by country (weighted data)

Associations between practice types and coordination with social services and community providers

In the multivariate analyses, multidisciplinary practices were associated with better coordination with SS and CPs than were traditional practices (OR 0.42, 95% CI = 0.31 to 0.55). In comparison with those located in cities, significantly better coordination with SS and CPs was observed when practices were located in a small town (OR 0.69, 95% CI = 0.58 to 0.82) or a rural area (OR 0.53, 95% CI = 0.42 to 0.67) (Table 2 and Supplementary Table S1).

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Table 2. Logistic regression of poor coordination with social services or other community providers as a function of physician and practice characteristics (N = 11 337)

When adjusted to individual countries, however, most of these results were no longer significant, apart from the better coordination with SS and CPs seen among multidisciplinary practices than among traditional ones (OR 0.39, 95% CI = 0.29 to 0.53), which stayed significant (Table 2).

Associations between practice types and ability to manage chronic conditions

Physicians in multidisciplinary and nurse-centred practice types reported being better prepared for managing patients with chronic conditions than traditional ones (OR 0.70, 95% CI = 0.59 to 0.84 and OR 0.82, 95% CI = 0.69 to 0.97, respectively). Female GPs, GPs who communicated poorly (sometimes or rarely; never) with home-care services, and those whose consultations were longest all reported being less well prepared to deal with patients with chronic conditions. On the other hand, GPs practising in small towns or rural areas (versus city settings), and those used to communicating via email, reported being better prepared to manage patients with chronic conditions. When the model was adjusted to individual countries, most of these results were no longer significant (Table 3).

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Table 3. Logistic regression of poor practices’ perceived ability to deal with patients with chronic conditions as a function of physician and practice characteristics (N = 11 376)

Discussion

Summary

According to our findings, half of the practices in the 11 Western countries surveyed were of the traditional type (51.6%), characterised by the relatively small numbers of different HCPs comprising their staff. Multidisciplinary practices, characterised by significant numbers of all kinds of HCPs, represented only 11.9% of all the practices. However, those multidisciplinary practices reported better outcomes than did traditional ones regarding their coordination with SS and CPs, and their GPs’ perceived ability to manage the care of patients with chronic conditions.

Strengths and limitations

This study had some limitations, including the low participation rate in some countries. Also, modes of participant recruitment and data collection and completion varied across countries. The self-reported nature of our data makes them subject to the possibility of self-report biases. Some definitions of HCPs may vary according to country. Also, because information about overall headcounts was unavailable, observations about practice size and its implications for the optimal distribution of the HCPs working in them were limited. Furthermore, the HCP’s location (inside or outside the practice) is not specified. What’s more, most of the results are no longer significant when adjusted to countries, reflecting the strong influence of different healthcare systems, making comparisons between the different countries in the study difficult (see Supplementary Table S2).

Finally, the data come from a study carried out in 2019, before the outbreak of COVID-19. The pandemic may have changed practice in PC in many countries, and there may have been policy changes implemented in the intervening years.

One strength of this study was the overall sample size; another was the questionnaire’s standardised methodology that enabled international comparisons. The Western countries selected were all high-income countries with similar population health outcomes that allowed comparisons.

Comparison with existing literature

International recommendations suggest reforming PC systems so that they use the better interprofessional collaboration afforded by multidisciplinary teams to better support patients with chronic conditions.1,40 However, our findings revealed the great heterogeneity in the degree to which this transition in practice type has been implemented across Western countries.

Traditional, nurse-centred, and physiotherapist-centred types of PCTs were characterised by little variety in the composition of their HCPs (either MAs in traditional practices, nurses or APNs in nurse-centred practices, and physiotherapists in physiotherapist-centred practices). We hypothesised that having MAs, nurses, or APNs in a practice might restrict transitions towards multidisciplinarity (explained by the fact that MA, nurse, and APN activities can overlap with those of other HCPs) by limiting how many other HCPs were represented or ‘needed’ in these types of practices. In contrast, multidisciplinary practices, which were found predominantly in Canada and the US, comprised high percentages of different HCPs (except for MAs) and systematically included SWs. US healthcare policies could partially explain this trend as it is the only Western country that has neither mandatory health assurance nor a national healthcare system: this may have been a strong incentive for the US to set up a cost-saving healthcare system to compensate for the lack of government healthcare spending for its population. It is also interesting to note that Sweden, which reported high numbers of different HCPs in its PC practices, did not report any multidisciplinary practices (0%) because its practices never comprise SWs. In Sweden, health care and SS are separate in terms of governance and funding.41,42 This explains why Sweden mainly reported psychologist-centred practices (52.9%), which, like multidisciplinary practices, include relatively high proportions of different HCPs.

Finally, even though some types of practices were more or less present in the different countries, no practice type was specific to any one country or group of countries, reflecting how Western PC health systems are transitioning from traditional models towards multidisciplinarity.

Concerning associations between types of practice and their ability to manage the care of patients with chronic conditions, multidisciplinary practices reported better communication with SS and CPs than did traditional ones. Our study corroborated that communication with SS and CPs is facilitated by integrating SWs into multidisciplinary type practices. However, collaboration with SWs was unusual among traditional type practices (only 0.7% of them), despite them being the most common type of PCT. The multitasking activities of MAs or nurses, evoked above, seem unable to respond properly to patients’ social needs, and specialist SWs seem indispensable. Furthermore, only 14.7% of all the responding practices (over all the countries) worked with SWs. Strengthening and promoting practices’ collaboration with SWs seems crucial to future healthcare policies. Furthermore, communication with SS and CPs does not only depend on PCTs structuration but also depend on the structuration, organisation, and policy-related constraints of SS (for example, reimbursement mechanisms, levels of training, country or municipalities control, and human resources).

The management of patients with chronic conditions also works better through multidisciplinary practices than traditional ones. Generally speaking, practices that were ‘over-specialised’ (with a high proportion of one type of HCP, for example, as in physiotherapist-centred or psychologist-centred practices) were not as well prepared for managing patients with chronic conditions.

As with multidisciplinary practices, nurse-centred practices reported being better prepared to manage the care of patients with chronic conditions than traditional ones. The commonality between these two types of practice was the high proportion of APNs in their teams (72.7% and 89.2%, respectively) able to take on the role of case manager, which is an important role in healthcare coordination and very much needed by patients with multimorbidity.

When the types of practices characterised were adjusted by country, most of the results discussed above were no longer significant (considered an overall proxy for their national healthcare systems), a testament to how important national specificities are on these indicators. However, multidisciplinary practices did remain significantly better at communication with SS and CPs than traditional ones even after adjustment by country.

Implications for research and practice

Despite strong arguments in favour of developing multiprofessional PCTs, most of the countries analysed have yet to adopt this type of practice as standard. However, the great variety of different practice types within countries was an indicator that healthcare systems were in transition. According to GPs, practices working with multidisciplinary teams demonstrated better overall communication (with SS, home-care services, and by email with patients) and a greater level of ability to manage the care of patients with chronic conditions. These results should encourage governments to continue efforts to transition towards multidisciplinary PC. Further research could emphasise our findings by focusing on how multidisciplinary models of care affect indicators of communication and access to care.

Notes

Funding

This analysis was funded entirely by the Department of Family Medicine, Unisanté, University of Lausanne, Switzerland. Commonwealth Fund International Health Policy Survey of Primary Care Physicians data were obtained free of charge from Switzerland’s Federal Office of Public Health.

Ethical approval

Due to there being minimal to no risks to responders in participating in this particular survey, formal ethical approval was not requested.

Provenance

Freely submitted; externally peer reviewed.

Data

The data are the property of the Commonwealth Fund. We obtained them for free from the Swiss Federal Office of Public Health.

Competing interests

The authors declare that no competing interests exist.

  • Received August 15, 2024.
  • Revision received January 21, 2025.
  • Accepted May 7, 2025.
  • Copyright © 2026, The Authors

This article is Open Access: CC BY license (https://creativecommons.org/licenses/by/4.0/)

References

  1. 1.↵
    1. Bonk M
    (2016) Policies on ageing and health: a selection of innovative models. accessed. www.bag.admin.ch/ageing. 13 Sep 2021.
  2. 2.
    1. Palladino R,
    2. Pennino F,
    3. Finbarr M,
    4. et al.
    (2019) Multimorbidity and health outcomes in older adults in ten European health systems, 2006–15. Health Aff (Millwood) 38 (4):613–623, doi:10.1377/hlthaff.2018.05273, pmid:30933577.
    OpenUrlCrossRefPubMed
  3. 3.↵
    1. Osborn R,
    2. Moulds D,
    3. Schneider EC,
    4. et al.
    (2015) Primary care physicians in ten countries report challenges caring for patients with complex health needs. Health Aff (Millwood) 34 (12):2104–2112, doi:10.1377/hlthaff.2015.1018, pmid:26643631.
    OpenUrlAbstract/FREE Full Text
  4. 4.↵
    1. Nuño R,
    2. Coleman K,
    3. Bengoa R,
    4. Sauto R
    (2012) Integrated care for chronic conditions: the contribution of the ICCC framework. Health Policy 105 (1):55–64, doi:10.1016/j.healthpol.2011.10.006, pmid:22071454.
    OpenUrlCrossRefPubMed
  5. 5.↵
    1. Boult C,
    2. Green AF,
    3. Boult LB,
    4. et al.
    (2009) Successful models of comprehensive care for older adults with chronic conditions: evidence for the Institute of Medicine’s “retooling for an aging America” report. J Am Geriatr Soc 57 (12):2328–2337, doi:10.1111/j.1532-5415.2009.02571.x, pmid:20121991.
    OpenUrlCrossRefPubMed
  6. 6.↵
    1. Schäfer WLA,
    2. Boerma WGW,
    3. Kringos DS,
    4. et al.
    (2011) QUALICOPC, a multi-country study evaluating quality, costs and equity in primary care. BMC Fam Pract 12 doi:10.1186/1471-2296-12-115, pmid:22014310. 115.
    OpenUrlCrossRefPubMed
  7. 7.↵
    1. Martínez-González NA,
    2. Berchtold P,
    3. Ullman K,
    4. et al.
    (2014) Integrated care programmes for adults with chronic conditions: a meta-review. Int J Qual Health Care 26 (5):561–570, doi:10.1093/intqhc/mzu071, pmid:25108537.
    OpenUrlCrossRefPubMed
  8. 8.↵
    1. Stille CJ,
    2. Jerant A,
    3. Bell D,
    4. et al.
    (2005) Coordinating care across diseases, settings, and clinicians: a key role for the generalist in practice. Ann Intern Med 142 (8):700–708, doi:10.7326/0003-4819-142-8-200504190-00038, pmid:15838089.
    OpenUrlCrossRefPubMed
  9. 9.↵
    1. Bodenheimer T,
    2. Chen E,
    3. Bennett HD
    (2009) Confronting the growing burden of chronic disease: can the U.S. health care workforce do the job? Health Aff (Millwood) 28 (1):64–74, doi:10.1377/hlthaff.28.1.64, pmid:19124856.
    OpenUrlAbstract/FREE Full Text
  10. 10.↵
    1. Colwill JM,
    2. Cultice JM,
    3. Kruse RL
    (2008) Will generalist physician supply meet demands of an increasing and aging population? Health Aff (Millwood) 27 (3):w232–w241, doi:10.1377/hlthaff.27.3.w232, pmid:18445642.
    OpenUrlAbstract/FREE Full Text
  11. 11.↵
    1. van Dongen JJJ,
    2. van Bokhoven MA,
    3. Daniëls R,
    4. et al.
    (2016) Developing interprofessional care plans in chronic care: a scoping review. BMC Fam Pract 17 (1), doi:10.1186/s12875-016-0535-7, pmid:27655185. 137.
    OpenUrlCrossRefPubMed
  12. 12.↵
    1. Askerud A,
    2. Conder J
    (2017) Patients’ experiences of nurse case management in primary care: a meta-synthesis. Aust J Prim Health 23 (5):420–428, doi:10.1071/PY17040, pmid:28923163.
    OpenUrlCrossRefPubMed
  13. 13.↵
    1. Hudon C,
    2. Chouinard M-C,
    3. Pluye P,
    4. et al.
    (2019) Characteristics of case management in primary care associated with positive outcomes for frequent users of health care: a systematic review. Ann Fam Med 17 (5):448–458, doi:10.1370/afm.2419, pmid:31501208.
    OpenUrlAbstract/FREE Full Text
  14. 14.↵
    1. Swankoski KE,
    2. Peikes DN,
    3. Palakal M,
    4. et al.
    (2020) Primary care practice transformation introduces different staff roles. Ann Fam Med 18 (3):227–234, doi:10.1370/afm.2515, pmid:32393558.
    OpenUrlAbstract/FREE Full Text
  15. 15.↵
    1. Zwarenstein M,
    2. Goldman J,
    3. Reeves S
    (2009) Interprofessional collaboration: effects of practice-based interventions on professional practice and healthcare outcomes. Cochrane Database Syst Rev doi:10.1002/14651858.CD000072.pub2, pmid:19588316.
    OpenUrlCrossRefPubMed
  16. 16.↵
    1. Vyt A
    (2008) Interprofessional and transdisciplinary teamwork in health care. Diabetes Metab Res Rev 24 Suppl 1 S106–S109, doi:10.1002/dmrr.835, pmid:18393329.
    OpenUrlCrossRefPubMed
  17. 17.↵
    1. Rocco N,
    2. Scher K,
    3. Basberg B,
    4. et al.
    (2011) Patient-centered plan-of-care tool for improving clinical outcomes. Qual Manag Health Care 20 (2):89–97, doi:10.1097/QMH.0b013e318213e728, pmid:21467895.
    OpenUrlCrossRefPubMed
  18. 18.↵
    1. Steiner BD,
    2. Denham AC,
    3. Ashkin E,
    4. et al.
    (2008) Community care of North Carolina: improving care through community health networks. Ann Fam Med 6 (4):361–367, doi:10.1370/afm.866, pmid:18626037.
    OpenUrlAbstract/FREE Full Text
  19. 19.
    1. Jaén CR,
    2. Ferrer RL,
    3. Miller WL,
    4. et al.
    (2010) Patient outcomes at 26 months in the patient-centered medical home national demonstration project. Ann Fam Med 8 Suppl 1 (Suppl 1):S57–S67, doi:10.1370/afm.1121, pmid:20530395.
    OpenUrlCrossRefPubMed
  20. 20.↵
    1. Sum G,
    2. Soon Hoe H,
    3. Zoe Zon Be L,
    4. et al.
    (2021) Impact of patient-centered medical home demonstration on quality of life and patient activation for older adults with complex needs in singapore. BMC Geriatr 21 (1):435, doi:10.1189/s12877-021-02371-y.
    OpenUrlCrossRefPubMed
  21. 21.↵
    1. Reid RJ,
    2. Fishman PA,
    3. Yu O,
    4. et al.
    (2009) Patient-centered medical home demonstration: a prospective, quasi-experimental, before and after evaluation. Am J Manag Care 15 (9):e71–e87, pmid:19728768.
    OpenUrlPubMed
  22. 22.↵
    1. Shaw JG,
    2. Winget M,
    3. Brown-Johnson C,
    4. et al.
    (2021) Primary care 2.0: a prospective evaluation of a novel model of advanced team care with expanded medical assistant support. Ann Fam Med 19 (5):411–418, doi:10.1370/afm.2714, pmid:34546947.
    OpenUrlAbstract/FREE Full Text
  23. 23.↵
    1. Kiran T,
    2. Moineddin R,
    3. Kopp A,
    4. Glazier RH
    (2022) Impact of team-based care on emergency department use. Ann Fam Med 20 (1):24–31, doi:10.1370/afm.2728, pmid:35074764.
    OpenUrlAbstract/FREE Full Text
  24. 24.↵
    1. Norful AA,
    2. Swords K,
    3. Marichal M,
    4. et al.
    (2019) Nurse practitioner–physician comanagement of primary care patients: the promise of a new delivery care model to improve quality of care. Health Care Manage Rev 44 (3):235–245, doi:10.1097/HMR.0000000000000161, pmid:28445324.
    OpenUrlCrossRefPubMed
  25. 25.↵
    1. Martin-Misener R,
    2. Harbman P,
    3. Donald F,
    4. et al.
    (2015) Cost-effectiveness of nurse practitioners in primary and specialised ambulatory care: systematic review. BMJ Open 5 (6), doi:10.1136/bmjopen-2014-007167, pmid:26056121. e007167.
    OpenUrlAbstract/FREE Full Text
  26. 26.↵
    1. Norful AA,
    2. de Jacq K,
    3. Carlino R,
    4. Poghosyan L
    (2018) Nurse practitioner–physician comanagement: a theoretical model to alleviate primary care strain. Ann Fam Med 16 (3):250–256, doi:10.1370/afm.2230, pmid:29760030.
    OpenUrlAbstract/FREE Full Text
  27. 27.↵
    1. Chrischilles EA,
    2. Carter BL,
    3. Lund BC,
    4. et al.
    (2004) Evaluation of the Iowa Medicaid pharmaceutical case management program. J Am Pharm Assoc (2003) 44 (3):337–349, doi:10.1331/154434504323063977, pmid:15191244.
    OpenUrlCrossRefPubMed
  28. 28.
    1. Mitchell LJ,
    2. Ball LE,
    3. Ross LJ,
    4. et al.
    (2017) Effectiveness of dietetic consultations in primary health care: a systematic review of randomized controlled trials. J Acad Nutr Diet 117 (12):1941–1962, doi:10.1016/j.jand.2017.06.364, pmid:28826840.
    OpenUrlCrossRefPubMed
  29. 29.
    1. Rees K,
    2. Dyakova M,
    3. Wilson N,
    4. et al.
    (2013) Dietary advice for reducing cardiovascular risk. Cochrane Database Syst Rev doi:10.1002/14651858.CD002128.pub5.
    OpenUrlCrossRefPubMed
  30. 30.
    1. Gutiérrez López MI,
    2. López Alonso N,
    3. Alonso Gómez R,
    4. Veiga Martínez C
    (2020) Clinical psychologist in primary care: the work carried out in Asturias. Semergen 46 (2):101–106, doi:10.1016/j.semerg.2019.09.002, pmid:31813845.
    OpenUrlCrossRefPubMed
  31. 31.
    1. Dath S,
    2. Dong CY,
    3. Stewart MW,
    4. Sables E
    (2014) A clinical psychologist in GP-land: an evaluation of brief psychological interventions in primary care. N Z Med J 127 (1391):62–73, pmid:24732253.
    OpenUrlPubMed
  32. 32.
    1. Harkness EF,
    2. Bower PJ
    (2009) On-site mental health workers delivering psychological therapy and psychosocial interventions to patients in primary care: effects on the professional practice of primary care providers. Cochrane Database Syst Rev 2009 (1), doi:10.1002/14651858.CD000532.pub2, pmid:19160181. CD000532.
    OpenUrlCrossRefPubMed
  33. 33.↵
    1. Dambha-Miller H,
    2. Simpson G,
    3. Hobson L,
    4. et al.
    (2021) Integrating primary care and social services for older adults with multimorbidity: a qualitative study. Br J Gen Pract 71 (711):e753–e761, doi:10.3399/BJGP.2020.1100, pmid:34019480.
    OpenUrlAbstract/FREE Full Text
  34. 34.↵
    1. Senn N,
    2. Ebert ST,
    3. Cohidon C
    (2016) [Family medicine in Switzerland: analysis and perspectives based on indicators from the SPAM (Swiss Primary Care Active Monitoring) program]. [Article in French]. accessed. https://www.obsan.admin.ch/sites/default/files/obsan_dossier_55.pdf. 11 Feb 2026.
  35. 35.
    1. Merçay C
    (2015) [Primary care physicians – Situation in Switzerland, recent trends and international comparison: analysis of the 2015 International Health Policy Survey by the Commonwealth Fund commissioned by the Federal Office of Public Health (FOPH)]. [Article in French]. accessed. https://www.bag.admin.ch/dam/de/sd-web/gPgRQG6MISGI/2015-obsanbericht-ihpbefragung.pdf. 11 Feb 2026.
  36. 36.↵
    1. Schütz M,
    2. Senn N,
    3. Cohidon C
    (2020) [The MOCCA pilot project: a new organization of family medicine practices in the canton of Vaud, Switzerland]. [Article in French]. Rev Fr Aff Soc, 337–350, doi:10.3917/rfas.201.0337.
    OpenUrlCrossRef
  37. 37.↵
    1. Cohidon C,
    2. Wild P,
    3. Senn N
    (2020) Job stress among GPs: associations with practice organisation in 11 high-income countries. Br J Gen Pract 70 (698):e657–e667, doi:10.3399/bjgp20X710909, pmid:32661010.
    OpenUrlAbstract/FREE Full Text
  38. 38.↵
    1. Doty MM,
    2. Tikkanen R,
    3. Shah A,
    4. Schneider EC
    (2020) Primary care physicians’ role in coordinating medical and health-related social needs in eleven countries. Health Aff (Millwood) 39 (1):115–123, doi:10.1377/hlthaff.2019.01088, pmid:31821045.
    OpenUrlCrossRefPubMed
  39. 39.↵
    1. Sovran V,
    2. Ytsma A,
    3. Husak L,
    4. Johnson T
    (2020) Coordination of care could improve: Canadian results from the Commonwealth Fund International Health Policy Survey of Primary Care Physicians. Healthc Q 23 (2):6–8, doi:10.12927/hcq.2020.26283, pmid:32762812.
    OpenUrlCrossRefPubMed
  40. 40.↵
    1. Cardinaux R,
    2. Ochs N,
    3. Michalski C,
    4. et al.
    (2021) Interventions to improve care coordination in primary care: a narrative review. Journal of Primary Care and General Practice 4 (1):61–79.
    OpenUrl
  41. 41.↵
    1. Hultberg EL,
    2. Lönnroth K,
    3. Allebeck P
    (2003) Co-financing as a means to improve collaboration between primary health care, social insurance and social service in Sweden. A qualitative study of collaboration experiences among rehabilitation partners. Health Policy 64 (2):143–152, doi:10.1016/s0168-8510(02)00145-8, pmid:12694951.
    OpenUrlCrossRefPubMed
  42. 42.↵
    1. Bäck MA,
    2. Calltorp J
    (2015) The Norrtaelje model: a unique model for integrated health and social care in Sweden. Int J Integr Care 15 doi:10.5334/ijic.2244, pmid:26528093. e016.
    OpenUrlCrossRefPubMed
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Composition of general practices in Western countries and associations with their perceived ability to manage patients with chronic conditions: a secondary analysis of survey data
Adeline Cachou de Camaret, Pascal Wild, Nicolas Senn, Christine Cohidon
BJGP Open 2026; 10 (1): BJGPO.2024.0200. DOI: 10.3399/BJGPO.2024.0200

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Composition of general practices in Western countries and associations with their perceived ability to manage patients with chronic conditions: a secondary analysis of survey data
Adeline Cachou de Camaret, Pascal Wild, Nicolas Senn, Christine Cohidon
BJGP Open 2026; 10 (1): BJGPO.2024.0200. DOI: 10.3399/BJGPO.2024.0200
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Keywords

  • primary care team
  • chronic disease
  • model of care
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  • Slow walking speed and risk of cardiovascular events in type 2 diabetes: a systematic review
  • Experiences of dyslexia in GP training in the UK: a qualitative study
  • Acceptability and utility of parental guidance on weight talk with children for GPs: a qualitative study
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