Skip to main content
  • Research article
  • Open access
  • Published:

Family medicine trainees’ clinical experience of chronic disease during training: a cross-sectional analysis from the registrars’ clinical encounters in training study



A broad case-mix in family physicians’ (general practitioners’, GPs’) vocational trainee experience is deemed essential in producing competent independent practitioners. It is suggested that the patient-mix should include common and significant conditions and be similar to that of established GPs. But the content of contemporary GP trainees’ clinical experience in training is not well-documented. In particular, how well trainees’ experience reflects changing general practice demographics (with an increasing prevalence of chronic disease) is unknown. We aimed to establish levels of trainees’ clinical exposure to chronic disease in training (and associations of this exposure) and to establish content differences in chronic disease consultations (compared to other consultations), and differences in trainees’ actions arising from these consultations.


A cross-sectional analysis from the Registrars’ Clinical Encounters in Training (ReCEnT) study, a cohort study of GP registrars’ (trainees’) consultations in four Australian GP training organisations. Trainees record detailed data from 60 consecutive consultations per six-month training term. Diagnoses/problems encountered are coded using the International Classification of Primary Care-2 PLUS (ICPC-2 PLUS). A classification system derived from ICPC-2 PLUS was used to define diagnoses/problems as chronic/non-chronic disease. The outcome factor for analyses was trainees’ consultations in which chronic disease was encountered. Independent variables were a range of patient, trainee, practice, consultation and educational factors.


Of 48,112 consultations (of 400 individual trainees), 29.5% included chronic disease problems/diagnoses. Associations of a consultation including chronic disease were the patient being older, male, and having consulted the trainee previously, and the practice routinely bulk-billing (not personally charging) patients. Consultations involving a chronic disease lasted longer, dealt with more problems/diagnoses, and were more likely to result in specialist referrals and trainees generating a personal learning goal. They were associated with less pathology tests being ordered.


Trainees saw chronic disease less frequently than have established GPs in comparable studies. The longer duration and more frequent generation of learning goals in chronic disease-containing consultations suggest trainees may find these consultations particularly challenging. Our findings may inform the design of measures aimed at increasing the chronic disease component of trainees’ patient-mix.

Peer Review reports


The patient-mix of the clinical experiences of vocational trainees (registrars) in general practice (family medicine) is accepted to be of major educational importance in producing competent practitioners equipped to enter independent practice. It is expected that the patient-mix should include both “common and significant conditions” [1] and be similar to that of established independent general practitioners (GPs) [2]. In Australia, the subject content of Fellowship examinations of the Royal Australian College of General Practitioners is based on disease prevalence of established GPs’ consultations [3]. But the content of contemporary GP trainees’ clinical experience in training is not well-documented.

In the 1970s and 1980s a number of papers reported on the content of GP trainees’ experience, mainly in the UK [4]-[12]. This research was of limited scope, often being the experiences of single trainees [7]-[9],[11] and/or single practices, [5],[7]-[11] and lacking multivariate analysis [5],[6],[9]-[12] (or any statistical analysis [4],[7],[8]). But a consistent finding was an apparent deficit in trainees’ seeing patients with chronic disease (when compared with their trainers) [4]-[10],[12]. This was also found in Dutch [13] and British [14] studies in the early 1990s.

Chronic disease is now the main health-related problem facing the world’s governments and health care systems [15]. Trends show an increased prevalence of chronic disease in general practice [16]-[18] during the 20 to 40 years since most of the evidence on trainees’ experience was obtained. Furthermore, the complexity of chronic disease management has increased, given the increasing prevalence of chronic disease multi-morbidity [17],[18].

Contemporary research on the patient-mix of trainees is very limited, but a study from the Netherlands suggests that trainees’ exposure to chronic disease cases is greater for more senior trainees [19],[20] and that trainees see less chronic disease presentations than their trainers [20]. But other predictors or associations of trainees’ chronic disease exposure, and ways in which trainees consultations involving chronic disease differ from other consultations, have not been explored either in contemporary or in older studies.

In this study we sought to establish the level of chronic disease clinical experience of a contemporary cohort of Australian general practice trainees and the associations of this chronic disease experience. We also sought to establish differences between consultations involving chronic disease presentations and those not involving a chronic disease element – both in the content of the consultation and in the actions arising from the consultation.


This study took place within the Registrar Clinical Encounters in Training (ReCEnT) study.


ReCEnT is an ongoing multi-site cohort study of GP trainees. Participants are GP trainees training with four GP Regional Training Providers (RTPs) across four Australian states.

The methodology has been described in detail elsewhere [21]. Briefly, GP trainees undertake data collection once per six-month training term (or per twelve-month term for part-time trainees) as part of their educational program. This results in trainees collecting data on three or four occasions during their training. The data are used to provide detailed written feedback to trainees and they are encouraged to use this feedback to reflect on their clinical practice and educational and training needs. Informed consent is obtained for trainees’ de-identified data to be also used for research purposes as part of the ReCEnT study.

Initial data collection involves demographic, education, work experience, and attitudinal data from participating trainees as well as characteristics of the practice in which they are working. These parameters are recorded by each trainee, each training term.

Trainees then record the details of 60 consecutive clinical consultations per term on a paper-based encounter form. Data collection is performed mid-way through the trainee’s training term. As data collection is designed to reflect a ‘normal’ week of general practice, consultations in a specialised clinic, e.g. vaccination clinic or Pap smear clinic, are excluded. Only office-based (not home visits or nursing home visits) consultations are recorded.

The collected data encompasses four broad areas: patient demographics, diagnoses (or problems managed), investigations/management (including referral and follow-up), and educational training aspects (whether the trainee sought in-consultation advice from their trainer or information from other sources, or generated learning goals). Problems managed/diagnoses are coded according to the International Classification of Primary Care, second edition classification system (ICPC-2 PLUS) [22].

Outcome factor

The outcome factor in this study was consultations in which a chronic disease was recorded as a diagnosis/problem by the trainee. Chronic diseases were coded via an existing classification system derived from ICPC-2 PLUS. This classification was ‘designed to identify chronic conditions managed in Australian general practice’ (the setting for our study) and is based on considerations of disease duration, prognosis, pattern, and sequelae and includes 129 complete ICPC-2 ‘rubrics’ and ICPC-2 PLUS codes from a further 20 ICPC-2 rubrics [23].

Independent variables

Independent variables related to trainee, patient, practice and consultation.

Trainee factors were age, gender, training term, training pathway enrolled in (general or rural: rural pathway trainees train exclusively in rural locations), place of medical qualification (Australia/international), and full-time/part-time status.

Patient factors were age, gender, Indigenous (Aboriginal or Torres Strait Islander) status, new patient to the practice, and new patient to the trainee.

Practice factors included rurality/urbanicity, practice size (number of GPs), and if the practice routinely bulk-bills (that is, there is no financial cost to the patient for the consultation). Practice postcode was used to define the Australian Standard Geographical Classification-Remoteness Area (ASGC-RA) classification [24] (the degree of rurality) of the practice location and to define the practice location’s Socioeconomic Index for Area (SEIFA) Relative Index of Disadvantage [25].

Consultation factors were duration of consultation, whether a practice nurse was involved in the consultation, the number of diagnoses/problems dealt with, and if pathology was ordered or a specialist referral made. Further educational consultation factors were if the trainee sought clinical assistance during the consultation (from their supervisor/trainer, from a specialist, or from electronic or hard-copy resources) and if the trainee generated personal learning goals in the consultation.

Statistical analysis

This was a cross-sectional analysis of patient consultations from the longitudinal ReCEnT study. Analysis was performed on the first six rounds of data collected from 2010–2012.

Percentage of trainees’ consultations involving a chronic disease was calculated, with 95% confidence intervals.

To test associations of a consultation involving chronic disease, simple and multiple logistic regression were used within a generalised estimating equations (GEE) framework to account for clustering of patients within trainees. All variables with a p value less than .20 in the univariate analysis were included in the multiple regression model.

In order to examine our research questions, three models were built, each with ‘a chronic disease being a diagnosis/problem in the consultation’ as the dependent variable:

To examine the question of associations of a trainee’s consultation involving a chronic disease, patient, practice and trainee independent variables were entered in the regression model.

To examine the question of in which ways the content of consultations involving chronic disease differs from other consultations, the above variables were entered in a model along with the following additional variables: consultation duration, sources of clinical assistance accessed by the trainee during the consultation, whether a practice nurse was involved in the consultation, and the number of problems dealt with in the consultation.

To examine the question of whether actions arising from consultations involving chronic disease differ from those arising from other consultations, all variables entered in the previous two models were entered in a new model along with the following additional variables: learning goals generated by the trainee, specialist referrals made and number of pathology tests ordered.

The rationale for the building of the three models was that whether a patient presents for a consultation with a chronic disease will plausibly be influenced by patient, trainee and practice factors, but evaluation of these influences may be compromised by inclusion in the model of factors operating once the consultation is progressing. Similarly, evaluation of the content of the consultation may be compromised by the inclusion in this model of actions arising from the consultation.

The overall approach to the regression analyses is presented in Figure 1.

Figure 1
figure 1

Analysis flow-chart for outcome factor-“Chronic Disease Diagnosis/Problem”.

Statistical analyses used SAS v9.3. Predictors were considered statistically significant if the p-value < 0.05

Ethics approval

The ReCEnT project has approval from the University of Newcastle Human Research Ethics Committee, Reference H-2009-0323.


400 individual trainees (response rate 94.7%) contributed 831 trainee-rounds of data (including details of 48,112 individual consultations).

The demographics of the participating trainees and practices are presented in Table 1.

Table 1 Participating registrar (trainee), registrar-term and practice characteristics

Of trainees’ consultations, 29.5% (95% CI 29.1, 29.9), included a chronic disease diagnosis or problem.

The most common chronic diseases encountered were uncomplicated hypertension (5.7% of all consultations), depressive disorder (4.2%), lipid disorder (2.5%), asthma (2.2%), and oesophageal disease (1.7%). The associations of a consultation including a chronic disease are presented in Table 2.

Table 2 Characteristics associated with the consultation including a chronic disease

The regression model with dependent variable of ‘a consultation including a chronic disease’, and including patient, trainee and practice independent variables, is presented in Table 3. The only trainee factor significantly associated with the consultation including a chronic disease was the trainee’s training term, with consultations of Term 2 trainees being less likely than those of Term 1 trainees to include a chronic disease (OR 0.86). The only practice factor significantly associated with trainees seeing more chronic disease was the practice routinely bulk-billing patients (the patient doesn’t incur a personal cost for the consultation, OR 1.12). There was a non-significant trend (p = .056) for trainees working in practices in areas of greater socioeconomic disadvantage to see more chronic disease (OR 0.98 for each decile of the SEIFA index). Patient factors significantly associated with the consultation including chronic disease were greater age (OR 4.75 for the oldest versus youngest age-band) and male gender (female versus male OR 0.90). A patient having been seen by the trainee previously and the patient not being new to the practice were both associated with the consultation having a chronic disease element (ORs of 0.68 and 0.70 for new patient to the practice and new patient to the trainee, respectively).

Table 3 Characteristics associated with the consultation including a chronic disease: model including registrar (trainee), patient and practice variables

The significant ‘consultation’ associations of having a chronic disease addressed in the consultation (adjusted for patient, trainee and practice) are presented in Table 4. Consultations involving chronic disease were associated with longer duration (OR 4.17 for each extra hour) and more problems/diagnoses being addressed (OR 2.15 for each extra problem addressed).

Table 4 Characteristics associated with the consultation including a chronic disease: consultation variables (in a model adjusted for registrar (trainee), patient, and practice variables)

In terms of actions arising out of consultations (see Table 5), a consultation’s involving chronic disease was significantly associated (adjusted for patient, trainee, practice and consultation variables) with the trainee generating learning goals (OR 1.36) and making referrals (OR 1.45). Consultations involving chronic disease were also associated with ordering lesser numbers of pathology tests (OR 0.99 for each extra pathology test).

Table 5 Characteristics associated with the consultation including a chronic disease: ‘registrar action’ variables (in a model adjusted for registrar (trainee), patient, practice and consultation variables)


Summary of main findings and comparison with existing literature

We found that 29.5% of trainee consultations included a chronic disease diagnosis or problem and that the most commonly encountered chronic diseases were hypertension, depressive disorder, lipid disorder, asthma, and oesophageal disease.

Associations of a consultation including chronic disease were the patient being older, male, and having consulted the trainee previously, and the practice routinely bulk-billing (not personally charging) patients. Consultations involving a chronic disease lasted longer, dealt with more problems/diagnoses, and were more likely to result in specialist referrals and trainees generating a personal learning goal. The effect sizes of these differences were clinically as well as statistically significant.

Our rate of trainees’ consultations including chronic disease (29.5%) cannot be directly compared with the only other contemporary finding, that of de Jong et al. (8.7% in first year trainees and 10.8% in third year trainees) [20] as the chronic disease classification systems employed in the two studies are different. It can, however, be directly compared with that of Australian established GPs (in a study with methodology similar to our study and using the same method of classification of chronic disease) which has been found to be 40.7% in male patients and 38.7% in females [26]. Thus, in Australia, trainees see chronic disease in a considerably smaller proportion of consultations than their established GP colleagues.

Our finding of an association of chronic disease exposure with the trainees being in their first term of training is in contrast to the Dutch study of de Jong et al. [19],[20] which found senior trainees saw more chronic disease than junior trainees. But this may reflect the structures of the two training programs, with the curriculum in the Netherlands focussing on chronic care in the final year of training [19].

There is no literature with which to compare our findings of other associations of trainees’ chronic disease exposure.

Strengths and limitations

The generalizability of the study is strong, given the participation of four of Australia’s 17 RTPs, in four of Australia’s six states, the trainee demographics resembling those of Australian trainees overall, [27]-[29] and the reach of practice location across all urban/rural classifications.

The response rate (94.7%) and statistical power provided by 48,112 consultations are also strengths of our study. The response rate is singularly high for a study recruiting GPs [30]. The large sample size and the large number of independent variables collected enables a detailed multivariate examination of the associations of trainees’ consultations with patients with chronic diseases.

A limitation of the study, however, is the fact that our dichotomous outcome factor, ‘chronic disease/not chronic disease’, is a fairly crude construct and cannot reflect the complexities of individual and very different chronic diseases, nor the complexity consequent upon multi-morbidity in many patients with chronic disease.

Implications for educational practice

An important consideration is, ‘Does the level of trainees’ exposure to chronic disease matter?’ Authors and commentators certainly think so [20],[31]. Research on undergraduate general practice placements suggests that patient mix is a factor in the ‘effectiveness’ of the placement (though not as important as supervision quality) [32] and in ‘instructional quality’ [33]. In undergraduate internal medicine placements, exposure to ‘core problems’ is associated with improved clinical performance [34]. But there is very little evidence concerning the effect of patient-mix on GP vocational trainee performance or competence. De Jong et al. have found that volume of dermatology and psychosocial consultations is associated with GP trainees’ self-assessed self-efficacy in these clinical areas [35]. But further evidence in general practice, and evidence specifically related to chronic disease in general practice, is lacking.

Despite this, there is strong opinion that chronic disease exposure commensurate with that of established GPs is desirable for trainees [1]. Some of our study’s findings are relevant here. Consultations involving chronic disease were significantly longer. This may suggest that trainees found these consultations (and, by implication, chronic disease management) challenging. As well as an increased duration of consultations, there were more problems/diagnoses dealt with in consultations including chronic disease, but the association of chronic disease with consultation duration remained strongly significant in the adjusted model (Table 4). Even though there was no increase in recourse to trainer or other sources of in-consultation assistance, chronic disease consultations were significantly more likely to prompt the trainee to generate learning goals. This also suggests that chronic diseases remain challenging for trainees. Increasing trainees’ experience dealing with this challenging situation, by increasing the chronic disease component of the training patient-mix, may thus be desirable.

The finding of greater exposure to chronic disease being associated with trainees working in practices that routinely bulk-bill (that is, there is no financial cost to the patient for the consultation) probably reflects both the increased need for care and the limited capacity of patients with chronic disease (often elderly and/or disabled by their disease) to pay for their care. The association of a consultation involving chronic disease and ordering less pathology tests was unexpected. The effect size is not large, but this may represent a lack of continuity of care - patients with chronic disease finding it convenient to see registrars for ‘one-off’ routine writing of scripts and referrals but reserving ongoing management (that would involve investigation) for a more senior GP in the practice [36],[37].

How an increase in trainee exposure to chronic disease might be achieved is problematic. As early as 1980 a single-practice UK study sought to direct patients with chronic disease to the trainee rather than the trainer, but did not statistically test the outcomes [8]. Practice receptionists influence the patient-mix of trainees, [38] but a trial of receptionists’ ‘steering‘of certain patient groups to trainees didn’t demonstrate a difference in trainee patient-mix [35].

‘Directing’ patients with chronic disease to trainees may be especially problematic – there is evidence of strong preference in older patients to see their ‘usual’ GP rather than a trainee, and to have continuity of care, for chronic diseases [37]. Our study found chronic disease patients were more likely than non-chronic disease patients to have seen the trainee before. This is consistent with a desire for continuity of care, even if that care is delivered by trainees. It also suggests trainees spending more than one term in a single practice may enhance chronic disease exposure.

Implications for future research

Previous Australian research suggests patients’ reluctance regarding chronic disease management by trainees may be attenuated by trainers maintaining oversight of trainees’ management [36]. Thus, a model for future chronic disease management in training practices might be ‘shared care’ involving trainee-delivered continuity of care with trainer oversight. Designing and implementing that model could take into account our findings of differences in trainees’ chronic disease exposure associated with practice billing policy and the longer consultation time already inherent in chronic disease-containing consultations. It should also take into account the apparent challenging nature for trainees of chronic-disease-containing consultations. Trialling such a model of care on the chronic disease content of trainees’ clinical experience is a suitable area for future research.


Trainees see chronic disease in a smaller proportion of clinical consultations than that of established GPs in a comparable study. Current vocational training policies suggest these proportions should be equivalent. The longer duration and more frequent generation of learning goals in chronic disease-containing consultations in our study suggest trainees may find these consultations particularly challenging. Our findings may inform the design of measures aimed at increasing the chronic disease component of trainees’ patient-mix.



Australian standard geographical classification-remoteness area)


Generalised estimating equations


General practitioner


International classification of primary care –second edition


Registrars’ clinical encounters in training


Regional training providers


Socioeconomic index for area relative index of disadvantage


United Kingdom


  1. RACGP Standards for General Practice Education and Training - Programs and Providers. 2005. Accessed 16/12/14.

  2. Royal Australian College of General Practitioners (RACGP) Curriculum 2011. At Accessed 2/2/13.

  3. Exam Handbook for candidates: RACGP Examination Policies and Processes. 2013. Royal Australian College of General Practitioners. Melbourne. Available at: Accessed 30/5/14

  4. Hasler J: Do trainees see patients with chronic illness?. BMJ. 1983, 287 (6406): 1679-1682. 10.1136/bmj.287.6406.1679.

    Article  Google Scholar 

  5. Carney TA: Clinical experience of a trainee in general practice. J R Coll Gen Pract. 1979, 29 (198): 40-44.

    Google Scholar 

  6. Fleming DM: A comparison of the practice activities of trainees and principals. J R Coll Gen Pract. 1986, 36 (286): 212-216.

    Google Scholar 

  7. O'Flanagan PH: One trainee's clinical experience. J R Coll Gen Pract. 1977, 27 (177): 227-230.

    Google Scholar 

  8. Fouracre R, Savory JN: Steering patients with selected conditions to trainees. J R Coll Gen Pract. 1980, 30 (221): 729-733.

    Google Scholar 

  9. Pearson CR, Goss BM: Comparison of the workload of a trainer and trainee. J R Coll Gen Pract. 1989, 39 (325): 320-323.

    Google Scholar 

  10. Fairley R: Patients who usually consult the trainee in general practice. Br Med J (Clin Res Ed). 1984, 288 (6410): 33-35. 10.1136/bmj.288.6410.33.

    Article  Google Scholar 

  11. Parkerson G, Wilson E: Clinical experience during family medicine residency training. South Med J. 1987, 80 (7): 895-900. 10.1097/00007611-198707000-00021.

    Article  Google Scholar 

  12. Caine N, Strang J, Acheson RM: Study of trainer/trainee workload with special reference to the care of the elderly. J R Coll Gen Pract. 1985, 35 (278): 419-422.

    Google Scholar 

  13. Weeda G, Hutter AW, Groenier KH, Schuling J: The workload of trainees in general practice. Med Educ. 1997, 31 (2): 138-143. 10.1111/j.1365-2923.1997.tb02473.x.

    Article  Google Scholar 

  14. Eccles M, Bamford C, Steen N, Russell I: Case mix and content of trainee consultations: findings from the north of England study of standards and performance in general practice. Br J Gen Pract. 1994, 44 (387): 437-440.

    Google Scholar 

  15. World Health Organization: Global Status Report on Noncommunicable Diseases 2010. Geneva: World Health Organization; 2011. at (accessed 23/4/13).

  16. Schers H, Bor H, van den Hoogen H, van Weel C: What went and what came? Morbidity trends in general practice from the Netherlands. Eur J Gen Pract. 2008, 14 (Suppl 1): 13-24. 10.1080/13814780802436051.

    Article  Google Scholar 

  17. Hughes H, Jordan KP, Rajaratnam G, Fawcett S, Croft P: Recent changes in general practice morbidity in older people. Age Ageing. 2008, 37 (5): 572-575. 10.1093/ageing/afn111.

    Article  Google Scholar 

  18. Uijen AA, van de Lisdonk EH: Multimorbidity in primary care: prevalence and trend over the last 20 years. Eur J Gen Pract. 2008, 14 (Suppl 1): 28-32. 10.1080/13814780802436093.

    Article  Google Scholar 

  19. de Jong J, Visser MRM, Mohrs J, Wieringa-de Waard M: Opening the black box: the patient mix of GP trainees. Br J Gen Pract. 2011, 61 (591): e650-e657. 10.3399/bjgp11X601361.

    Article  Google Scholar 

  20. De Jong J, Visser MRM, Wieringa-de Waard M: Exploring differences in patient mix in a cohort of GP trainees and their trainers. BMJ Open. 2011, 1: e000318-doi:10.1136/bmjopen-2011-000318

    Article  Google Scholar 

  21. Morgan S, Magin PJ, Henderson KM, Goode SM, Scott J, Bowe SJ, Regan CM, Sweeney KP, Jackel J, van Driel ML: The registrar clinical encounters in training (ReCEnT) study – protocol. BMC Fam Pract. 2012, 13: 50-10.1186/1471-2296-13-50.

    Article  Google Scholar 

  22. Britt H: A new coding tool for computerised clinical systems in primary care–ICPC plus. Aust Fam Physician. 1997, 26 (Suppl 2): S79-S82.

    Google Scholar 

  23. O'Halloran J, Miller GC, Britt H: Defining chronic conditions for primary care with ICPC-2. Fam Pract. 2004, 21 (4): 381-386. 10.1093/fampra/cmh407.

    Article  Google Scholar 

  24. Australian Standard Geographical Classification (ASGC) - 2006. at accessed 23/4/13

  25. Australian Bureau of Statistics. 2039.0 - Information Paper: An Introduction to Socio-economic Indexes of Areas (SEIFA), 2006. Available at: [accessed 23/4/13]

  26. O'Halloran J, Harrison C, Britt H: The management of chronic problems. Aust Fam Physician. 2008, 37 (9): 697.

    Google Scholar 

  27. AGPT Registrar satisfaction survey 2013. Australian General Practice Training Limited and Australian Council of Educational Research. Available at: Accessed 30/5/14.

  28. GPET Annual Report 2013. General Practice Education and Training Limited. Available at: Accessed 30/5/14

  29. Australian Medical Workforce Advisory Committee (2005), The General Practice Workforce in Australia: Supply and Requirements to 2013, AMWAC Report 2005.2, Sydney.

  30. Bonevski B, Magin P, Horton G, Foster M, Girgis A: Response rates in GP surveys - trialling two recruitment strategies. Aust Fam Physician. 2011, 40 (6): 427-430.

    Google Scholar 

  31. Nieman LZ, Cheng L: Chronic illness needs educated doctors: an innovative primary care training program for chronic illness education. Med Teach. 2011, 33 (6): e340-e348. 10.3109/0142159X.2011.558532.

    Article  Google Scholar 

  32. Dolmans DHJM, Wolfhagen IHAP, Essed GGM, Scherpbier AJJA, van der Vleuten CPM: The impacts of supervision, patient mix, and numbers of students on the effectiveness of clinical rotations. Acad Med. 2002, 77 (4): 332-335. 10.1097/00001888-200204000-00016.

    Article  Google Scholar 

  33. van der Zwet J, Hanssen VG, Zwietering PJ, Muijtjens AM, Van der Vleuten CP, Metsemakers JF, Scherpbier AJ: Workplace learning in general practice: supervision, patient mix and independence emerge from the black box once again. Med Teach. 2010, 32 (7): e294-e299. 10.3109/0142159X.2010.489128.

    Article  Google Scholar 

  34. Dong T, Artino AR, Durning SJ, Denton GD: Relationship between clinical experiences and internal medicine clerkship performance. Med Educ. 2012, 46 (7): 689-697. 10.1111/j.1365-2923.2012.04283.x.

    Article  Google Scholar 

  35. de Jong J, Visser M, Wieringa-de Waard M: Steering the patient mix of GP trainees: results of a randomized controlled intervention. Med Teach. 2013, 235: 101-108. 10.3109/0142159X.2013.759197.

    Article  Google Scholar 

  36. Bonney A, Jones SC, Iverson D: The older patient, the general practitioner and the trainee: patients' attitudes and implications for training. Educ Prim Care. 2012, 23 (3): 186-195.

    Article  Google Scholar 

  37. Bonney A, Phillipson L, Jones SC, Iverson D: Older patients' attitudes to general practice registrars - a qualitative study. Aust Fam Physician. 2009, 38 (11): 927-931.

    Google Scholar 

  38. de Jong J, Visser MRM, Wieringa-de Waard M: Who determines the patient mix of GP trainees? The role of the receptionist. Fam Pract. 2011, 28 (3): 287-293. 10.1093/fampra/cmq102.

    Article  Google Scholar 

Download references


We would like to acknowledge the participation of the registrars, practices and RTPs in the ReCEnT study.

There was no External Funding for the project. The project was funded by the participating educational organisations: General Practice Training Valley to Coast, the Victorian Metropolitan Alliance, General Practice Training Tasmania, and Adelaide to Outback GP Training Program. These organisations are funded by General Practice Education and Training, an Australian Commonwealth Government initiative.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Parker Magin.

Additional information

Competing interests

PM, SM, KH, AT, JP, NS, CL and JS are or were employed by the RTPs in which the study was conducted.

The authors declare that they have no competing interests.

Authors’ contributions

PM, SM, KH, AT, JP, SG, NS, CL and MvD participated in the conception and design of the study. PM, SM, KH, AT, NS, CL and JS participated in acquisition of data. PMcE and AT participated in the data analysis. PM, SM, ATand PMcE participated in interpretation of the data. PM drafted the manuscript. All authors revised the manuscript for important intellectual content and read and approved the final manuscript.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Magin, P., Morgan, S., Henderson, K. et al. Family medicine trainees’ clinical experience of chronic disease during training: a cross-sectional analysis from the registrars’ clinical encounters in training study. BMC Med Educ 14, 260 (2014).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: