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

Does this lung nodule need urgent review? A discrete choice experiment of Australian general practitioners

A Correction to this article was published on 26 February 2020

This article has been updated



Lung cancer is the leading cause of cancer mortality in Australia. Guidelines suggest that patients with suspected lung cancer on thoracic imaging be referred for urgent specialist review. However, the term “suspected” is broad and includes the common finding of lung nodules, which often require periodic surveillance rather than urgent invasive investigation. The British Thoracic Society recommends that a lung nodule with a PanCan risk > 10% be considered for invasive investigation. This study aimed to assess which factors influence general practitioners (GPs) to request urgent review for a lung nodule and if these factors concur with PanCan risk prediction model variables.


A discrete choice experiment was developed that produced 32 individual case vignettes. Each vignette contained eight variables, four of which form the parsimonious PanCan risk prediction model. Two additional vignettes were created that addressed haemoptysis with a normal chest computed tomography (CT) scan and isolated mediastinal lymphadenopathy. The survey was distributed to 4160 randomly selected Australian GPs and they were asked if the patients in the vignettes required urgent (less than two weeks) specialist review. Multivariate logistic regression identified factors associated with request for urgent review.


Completed surveys were received from 3.7% of participants, providing 152 surveys (1216 case vignettes) for analysis. The factors associated with request for urgent review were nodule spiculation (adj-OR 5.57, 95% CI 3.88–7.99, p < 0.0001), larger nodule size, presentation with haemoptysis (adj-OR 4.79, 95% CI 3.05–7.52, p < 0.0001) or weight loss (adj-OR 4.87, 95% CI 3.13–7.59, p < 0.0001), recommendation for urgent review by the reporting radiologist (adj-OR 4.68, 95% CI 2.86–7.65, p < 0.0001) and female GP gender (adj-OR 1.87, 95% CI 1.36–2.56, p 0.0001). In low risk lung nodules (PanCan risk < 10%), there was significant variability in perceived sense of urgency. Most GPs (83%) felt that a patient with haemoptysis and a normal chest CT scan did not require urgent specialist review but that a patient with isolated mediastinal lymphadenopathy did (75%).


Future lung cancer investigation pathways may benefit from the addition of a risk prediction m9odel to reduce variations in referral behavior for low risk lung nodules.

Peer Review reports


Lung cancer is the fifth most common cancer in Australia but is the leading cause of both cancer related mortality and morbidity [1, 2]. Smoking rates continue to fall but the incidence of lung cancer has not yet plateaued and the five-year survival remains below 20% [1, 2].

Given the poor outcomes for many lung cancer patients and the ongoing costs to the healthcare system, best practice guidelines have been created to streamline and standardise the lung cancer diagnosis and treatment pathway. These pathways emphasise timely review and early involvement of a lung cancer specialist [3, 4]. Both the Australian Optimal Care Pathway (OCP) and the British guideline recommend review by a specialist within two weeks of referral following thoracic imaging suspicious of lung cancer [4, 5]. The lung cancer flowchart endorsed by the Royal Australian College of General Practitioners (RACGP) recommends that any suspicious findings on chest computed tomography (CT) or any new or changing lung nodule receive an urgent specialist referral [3, 4].

The term “suspected” lung cancer is used in both Australian pathways but is not clearly defined and thus may incorporate lung nodules, where the risk of malignancy is low and the need for specialist review may not be urgent. A lung nodule is defined as a rounded or irregular opacity, measuring less than 30 mm in diameter [6]. With the widespread availability of CT scanning in Australia, the finding of lung nodules is increasingly common, with the reported prevalence being almost 9% in a Western Australian cohort [7]. However, the rate of cancer in screen-detected lung nodules was only 5.5 and 3.7% in two high risk Canadian cohorts respectively and is likely to be even lower in an unselected population [8]. The appropriate management of many lung nodules is serial imaging many months apart to assess nodule growth [9].

Both local and international research suggests that adhering to the suggested timeframes for urgent review of suspected lung cancer can be challenging. An audit of the respiratory service at our hospital several years ago demonstrated that 73% of suspected lung cancer referrals were reviewed within two weeks [10]. However, the most recent scoping review on the topic suggests variability in review times, ranging from 0 to 33 days across 23 countries, compared to the recommended 14 days [11]. The case-mix of a typical respiratory service has not been documented but the high prevalence of lung nodules and their inclusion in suspected lung cancer referral pathways dictates that a meaningful proportion of the workload will be attributable to lung nodules with low malignancy risk.

The PanCan (or Brock University) model is a probabilistic risk-based model that calculates the malignancy risk of a pulmonary nodule detected on first screening low dose CT scan, using both radiographic and patient characteristics. The model has an area under the curve of more than 0.90 and shows excellent predictive accuracy for lung cancer even in small nodules [8]. The British Thoracic Society (BTS) guidelines on investigation and management of lung nodules suggest that a nodule with a PanCan risk > 10% should be considered for invasive investigation [9].

In view of the high prevalence of lung nodules, the overall low cancer risk and the lack of clarity in published pathways surrounding the need for urgent specialist review, this study was designed to assess the referral behaviors of Australian general practitioners (GPs) using a discrete choice experiment (DCE) approach.



  1. 1.

    To identify factors that influence GPs to request urgent specialist review for patients with a lung nodule on CT scan.

  2. 2.

    To assess the proportion of GP responses that request urgent review for lung nodules with a PanCan risk > 10%.

  3. 3.

    To assess the proportion of GPs requesting urgent review in the specific clinical scenarios of a) A patient with haemoptysis and a normal chest CT and b) A patient with mediastinal and hilar lymphadenopathy without a parenchymal lung lesion.

Definitions and rationale

Urgent review was defined as review by a lung cancer specialist within two weeks of referral for suspected lung cancer.

The BTS recommendation that a lung nodule with a PanCan risk > 10% be considered for further investigation with positron emission tomography (PET) scan and / or biopsy was used as a surrogate for needing urgent (within two weeks) specialist review.

Survey development

An orthogonal main effects plan (OMEP) was used to create 32 individual lung nodule case vignettes. An OMEP is a set of combinations of dimensions and levels where, for dimension, the number of times each pair of levels appear is constant. Therefore, for scenarios where (for example) lung nodule spiculation is observed, the location of the nodule is split equally between upper lobe and not upper lobe. Each vignette included eight variables, four of which form the parsimonious PanCan risk prediction model (gender, nodule size, location and spiculation) [8]. The study team developed a further four variables (age, smoking status, symptoms, recommendation from reporting radiologist), which could plausibly be thought to increase lung cancer risk and influence GP sense of urgency (see Table 1). The individual vignettes were then manually entered into Qualtrics (Qualtrics, Provo, UT, USA). Qualtrics is an online survey platform that allows survey development, dissemination and analysis, although only the dissemination feature was used in this study. Each GP was presented with eight randomly selected case vignettes and asked if the patient required urgent (within two weeks) specialist review. An example case vignette is provided in Table 2 and all 32 vignettes are provided as Additional file 1. Vignettes with a parsimonious PanCan risk of > 10% were deemed to require urgent review.

Table 1 Vignette variables and response options
Table 2 Case vignettes

Each GP was also presented with two additional case vignettes (both provided in Table 2). One described a patient with haemoptysis and a normal chest CT and the other described a patient with mediastinal and hilar lymphadenopathy without a parenchymal lung lesion. These were included because they are not specifically addressed in lung cancer pathways but could represent lung cancer.

Each GP provided demographic information, such as age, gender, location of primary practice, years of experience and number of hours worked each week.

Survey distribution

The survey was distributed to 4160 randomly selected GPs throughout Australia via email, with the use of the Australasian Medical Publishing Company (AMPCo) practitioner database. The email invite included some background information about the Cancer Council OCP and a link to the Qualtrics survey platform, where the GP would be presented with eight randomly selected case vignettes, as well as the additional vignettes regarding haemoptysis and lymphadenopathy. Consent was implied if the survey was completed. Reminder emails were sent at two and four weeks. Participants had the option of providing their contact details to win one of five $100 incentive vouchers. Ethics approval for the study was granted by the St John of God Human Research Ethics Committee (reference 1302).

Statistical analysis

A multivariate logistic regression model was used to identify factors significantly associated with request for urgent review that initially included all vignette and demographic variables and then applied stepwise exclusion of factors with p values > 0.05. Ordinal vignette and demographic variables (nodule size, patient age and hours worked per week) were considered as continuous independent variables for the model. Statistical analysis was performed using the SAS university edition with SAS Studio version 3.8 (SAS Institute Inc., Cary, NC, USA).


A total of 4160 surveys were distributed and 157 GPs began the survey, giving a response rate of 3.8%. Five participants did not complete the survey and were excluded from further analysis, giving a final sample size of 152 GPs (3.7%). The participants’ demographic information is described in Table 3. Almost two thirds of respondents were female (61%). The majority were vocationally registered GPs (86%). Almost half (46%) worked in a capital city and a quarter (26%) worked in a rural area.

Table 3 Participant demographic information, n=152

The factors associated with request for urgent review are summarised in Table 4. The most significant was presence of nodule spiculation, with a spiculated lung nodule 5.57 times more likely to garner a request for urgent review than a non-spiculated nodule (95% CI 3.88–7.99, p < 0.0001). Increasing nodule size was also associated with request for urgent review (adj-OR 1.35 per increasing size increment, 95% CI 1.25–1.45, p < 0.0001), as was recommended urgent respiratory review from the reporting radiologist (adj-OR 4.68, 95% CI 2.86–7.65, p < 0.0001). Patient factors associated with request for urgent review included being a current smoker (adj-OR 2.90, 95% CI 1.78–4.72, p < 0.0001 compared with a never smoker) and presenting with haemoptysis or unintentional weight loss (adj-OR 4.79, 95% CI 3.05–7.52, p 0.0003 and adj-OR 4.87, 95% CI 3.13–7.59, p 0.0001 respectively, compared with a lung nodule found incidentally). Increasing patient age made request for urgent review less likely (adj-OR 0.78 per increasing age interval of ten years, 95% CI 0.67–0.91, p 0.001).

Table 4 Factors associated with request for urgent review

Female GPs were almost twice as likely to request urgent review as male GPs (adj-OR 1.87, 95% CI 1.36–2.56, p 0.0001) and GPs who worked more hours per week were less likely to request urgent review (adj-OR 0.83 per increasing interval of hours worked per week, 95% CI 0.71–0.97, p 0.015).

From the 1216 vignettes analysed, almost two thirds of responses (65%) were concordant with the BTS guidelines and correctly identified high or low risk lung nodules. The relationship between PanCan risk and the proportion of responses requesting urgent review is presented in Fig. 1. In low risk lung nodule vignettes, there was significant variation in the request for urgent review, ranging from 3 to 94% of responses for individual vignettes. In lung nodule vignettes with a PanCan risk > 10%, there was a more consistent request for urgent review, ranging from 63 to 100%.

Fig. 1
figure 1

Relationship between PanCan risk and GP perception of urgency. Legend: Correlation coefficient 0.484, p 0.005

When asked if a patient with haemoptysis and a normal chest CT needed to be seen by a specialist within two weeks, most GPs answered “No” (83%). When asked the same question of a patient with mediastinal and hilar lymphadenopathy but no parenchymal lung lesion, three quarters answered “Yes” (75%).


This study has examined for the first time the referral patterns for lung nodules amongst a cohort of Australian GPs and identified factors that influence a perceived need for urgency. There is evidence of wide variation in practice, presumably due to interpretation of nodule risk, as well as participant characteristics (such as gender and number of hours worked per week).

Some of the factors associated with request for urgent review in this study were in keeping with recommended practice, whilst others were not. Table 5 summarises these factors and compares them to predictors of malignancy in three validated lung nodule risk prediction models [8, 12, 13]. GPs tended to overestimate the significance of nodule spiculation and underestimate the impact of increasing patient age, female gender and nodule upper lobe location.

Table 5 Factors associated with request for urgent review compared with adjusted odds ratios for lung cancer risk factors in validated risk prediction models

This study has demonstrated that the radiology report and recommendation of the reporting radiologist has a significant impact on GP referral behavior and this finding has also been seen in other literature. Blagev et al. reviewed 1000 CT pulmonary angiogram reports and found that appropriate follow up of incidental pulmonary nodules increased from 0 to 29%, when the reporting radiologist provided an overt suggestion in the conclusion of the report, compared with the nodule only being mentioned in the body of the report [14]. Similar results were found by Woloshin et al where requests for PET scan, serial CT imaging and lung biopsy were compared between two groups of physicians, with one group receiving a standard radiology report and the other receiving an enhanced radiology report [15]. The enhanced radiology report included the lung cancer risk and an explicit recommendation for management, according to the Fleischner Society guidelines and resulted in significantly more clinicians choosing the correct management strategy. It can be seen that the radiology report has a significant effect on subsequent patient management and this has implications for patient care and resource usage when lung nodules are reported in an unstandardized and haphazard fashion. The American College of Radiology uses a standardised tool to report screen-detected lung nodules. The Lung CT Screening Reporting and Data System (Lung-RADS) classifies lung nodules according to size, growth and CT appearance and calculates malignancy risk (using the PanCan risk prediction model) and provides a recommendation for management [16]. A similar process for standardised lung nodule reporting is not currently used in Australia.

Female GPs were almost twice as likely to request urgent review as their male counterparts and this finding has been seen to a lesser extent in Canadian literature. Three papers found that female primary care physicians made 8% more referrals and were 12 and 15% more likely to refer than males [17,18,19]. The significance of the finding in the present study is not apparent but previous papers have discussed whether this gender disparity represents more appropriate management by female physicians or excessive use of investigations and healthcare resources [19].

Two specific and clinically important scenarios that are not addressed in the Australian Cancer Council OCP or the GP investigation pathway are patients with haemoptysis and a normal chest CT and patients with mediastinal lymphadenopathy without a parenchymal lung lesion. Most GPs surveyed did not think a patient with small volume haemoptysis and a normal chest CT required urgent specialist review and this is in accordance with both local and international guidelines [20]. The haemoptysis Diagnostic Imaging Pathway that is endorsed by the Western Australian Department of Health only suggests CT chest in selected high risk patients and bronchoscopy only when CT does not identify a cause for symptoms [20]. This conservative approach to haemoptysis management is based on several studies that have shown the additional diagnostic yield for lung cancer from bronchoscopy is very low when thoracic imaging has not already demonstrated concerning findings [21,22,23]. The appropriate management of mediastinal and hilar lymphadenopathy without a parenchymal lung lesion is less clear. Isolated mediastinal and hilar lymphadenopathy (IMHL) is common and the prevalence has been reported as 1–6% [24]. The causes of IMHL include reactive, granulomatous, infectious and malignant diseases [25]. Malignancy accounts for only 13% overall [25]. The American College of Radiology guideline on the management of chest CT incidental findings acknowledges that robust literature on IMHL is lacking but recommends that any patient with a mediastinal lymph node ≥15 mm in short axis without an obvious clinical or radiological explanation, be referred for specialist consultation [26]. In this current study, 75% of GPs thought a patient with IMHL required urgent specialist review and it is reasonable for these patients to be referred to a respiratory specialist, given the complexity and heterogeneity of the condition. However, the risk of cancer is low and review may not need to be within two weeks.

Overall, this study found more variation in responses in lung nodules with a PanCan risk < 10%, with up to 94% of responses still requesting urgent review of these low risk nodules. This may be because the investigation pathway recommended for Australian GPs suggests urgent review in any new or changing nodule, regardless of other clinical or imaging risk factors [3]. Lung nodules with a PanCan risk > 10% yielded a more consistent request for urgent specialist review. Of the 1216 vignettes analysed, 521 had a PanCan risk < 10%, however urgent review was still requested in over half of these (307 vignettes). Cancer investigation pathways are deliberately broad to minimise missed cases but the addition of a risk prediction model to the lung cancer pathway may help to streamline the process. As has been described, the ability of specialist respiratory services to meet the recommended timeframes for review of suspected lung cancer is variable and any measures to alleviate pressure would be worth considering. To the best of our knowledge, risk prediction models are not included in any international lung cancer referral pathways, so their potential impact on referral rates or review times is unknown. While most of the lung cancer risk prediction models were developed in lung cancer screening cohorts, the PanCan risk prediction model has recently been validated in a heterogenous Dutch population and still been found to perform well, with an area under the curve of 0.90 and 0.91 in two separate cohorts [27]. This goes further toward confirming its appropriateness for use in a general population.

There are a number of limitations that should be considered in interpretation of this study. The low response rate (3.7%) may have led to selection bias, although participating GPs were representative of all the Australian States and Territories, except the Northern Territory. Response rates to physician surveys are often poor and have been reported to be declining, due to a number of factors, including lack of time, ineligibility and inaccuracy in registration details [28, 29]. Interestingly, more than one third of practices had a policy not to respond to survey requests in one Canadian study [28]. The choice to use AMPCo was based on a 2017 survey of Australian medical practitioners that used similar distribution methodology and garnered a response rate of 17.5% [30]. Unfortunately, our response rate was much lower, however, the large number of vignettes for analysis is an advantage and does increase the generalisibility of the results. Lung cancer risk was calculated using the parsimonious PanCan risk prediction model, instead of the full version of the model. The BTS guidelines reference the full version, however this includes an additional five variables (age, family history of lung cancer, emphysema, nodule type and nodule count) and it was felt that would be too onerous for study participants. Furthermore, McWilliams et al. found excellent discrimination in both the parsimonious and full versions of the model in their 2013 paper [8]. Finally, the inherent risk of artifice when using case vignettes should be considered. In the interests of brevity, only eight variables were included in the vignettes but real world patients are much more complex and it is certainly possible that some subtleties in referral factors and behaviors have been overlooked.


This study demonstrates variability in the sense of urgency for referral for lung nodules and highlights that most concern is driven by nodule spiculation, patient presentation with haemoptysis or weight loss and the recommendation of the reporting radiologist. Standardised reporting of lung nodules by radiologists and the addition of estimated nodule risk to lung cancer investigation pathways may help to ensure an effective, timely patient journey from chest CT to specialist review and ensure that all patients are being managed in a more evidence-based fashion.

Availability of data and materials

The data set analysed in this study is available from the corresponding author upon reasonable request.

Change history

  • 26 February 2020

    Following publication of the original article [1], the authors flagged that the article had gone to publishing with errors in Tables 1-3.



Adjusted odds ratio


Australasian Medical Publishing Company


British Thoracic Society


Confidence interval


Computed tomography


Computed tomography coronary angiogram


Discrete choice experiment


General practitioner


Isolated mediastinal and hilar lymphadenopathy


Optimal care pathway


Orthogonal main effects plan


Odds ratio


Positron emission tomography scan


Royal Australian College of General Practitioners


Veterans Administration


  1. Australian Institute of Health and Welfare. In: Cancer data in Australia. 2018. Accessed 16 July 2019.

  2. Australian Institute of Health and Welfare. In: Cancer in Australia 2017. 2017. .

  3. Cancer Australia. In: investigating symptoms of lung cancer: a guide for GPs. 2012. .

    Google Scholar 

  4. Department of Health and Human Services. In: Optimal care pathway for people with lung cancer. 2015. Accessed 16 July 2019.

  5. National Institute for Health and Care Excellence. In: Lung cancer: diagnosis and management. 2019. Accessed 18 December 2019.

  6. Hansell DM, Bankier AA, Macmahon H, McLoud TC, Müller N, et al. Fleischner society: glossary of terms for thoracic imaging. Radiology. 2008;246(3):697.

    Article  Google Scholar 

  7. Brims F, Murray C, De Klerk N, Alfonso H, Reid A, et al. A102 A view to the lung: Lung cancer screening and the evaluation of pulmonary nodules: 12 months of Low Dose CT Scan screening an asbestos exposed population: Results from the Western Australian Asbestos Review Program. Am J Respir Crit Care Med. 2014;189(1).

  8. McWilliams A, Tammemagi M, Mayo J, Roberts H, Liu G, et al. Probability of cancer in pulmonary nodules detected on first screening computed tomography. NEJM. 2013;369:910-9.

  9. Callister ME, Baldwin DR, Akram AR, Barnard S, Cane P, et al. BTS guideline for the investigation and management of pulmonary nodules. Thorax. 2015;70(Suppl 2):ii1-ii54.

  10. Brownell P, Piccolo F, Waddington CS, White R, Jones S, et al. Addressing barriers to timely lung cancer diagnosis and treatment in an outer metropolitan Western Australian hospital. Intern Med J. 2019;49(2):279–80.

    Article  Google Scholar 

  11. Malalasekera A, Nahm S, Blinman PL, Kao SC, Dhillon HM, et al. How long is too long? A scoping review of health system delays in lung cancer. Eur Respir Rev. 2018;27(149):180045.

  12. Swensen SJ, Silverstein MD, Ilstrup DM, Schleck CD, Edell ES. The probability of malignancy in solitary pulmonary nodules: application to small Radiologically indeterminate nodules. JAMA Intern Med. 1997;157(8):849–55.

    Article  CAS  Google Scholar 

  13. Gould MK, Ananth L, Barnett PG. A clinical model to estimate the pretest probability of lung Cancer in patients with solitary pulmonary nodules. Chest. 2007;131(2):383–8.

    Article  Google Scholar 

  14. Blagev DP, Lloyd JF, Conner K, Dickerson J, Adams D, et al. Follow-up of incidental pulmonary nodules and the radiology report. J Am Coll Radiol. 2014;11(4):378–83.

    Article  Google Scholar 

  15. Woloshin S, Schwartz LM, Dann E, Black WC. Using radiology reports to encourage evidence-based practice in the evaluation of small, incidentally detected pulmonary nodules. A preliminary study. Ann American Thorac Soc. 2014;11(2):211–4.

    Article  Google Scholar 

  16. American College of Radiology. In: Lung-RADS Version 1.1. 2019. Accessed 3 August 2019.

  17. Chan BT, Austin PC. Patient, physician, and community factors affecting referrals to specialists in Ontario, Canada: a population-based. Multi-Level Modelling Approach Med Care. 2003;41(4):500–11.

    PubMed  Google Scholar 

  18. Liddy C, Singh J, Kelly R, Dahrouge S, Taljaard M, et al. What is the impact of primary care model type on specialist referral rates? A cross-sectional study. BMC Fam Pract. 2014;15(1):22.

    Article  Google Scholar 

  19. Dahrouge S, Seale E, Hogg W, Russell G, Younger J, et al. A comprehensive assessment of family physician gender and quality of care: a cross-sectional analysis in Ontario. Canada Med Care. 2016;54(3):277–86.

    Article  Google Scholar 

  20. Diagnostic Imaging Pathways. In: Diagnostic Imaging Pathways - Haemoptysis. 2018. Accessed 20 July 2019.

  21. Bonlokke S, Gulbrandt L, Rasmussen T. Bronchoscopy in patients with haemoptysis and normal computed tomography of the chest is unlikely to result in significant findings. Dan Med J. 2015;62(8):A5123.

    PubMed  Google Scholar 

  22. Nielsen K, Gottlieb M, Colella S, Saghir Z, Larsen KR, et al. Bronchoscopy as a supplement to computed tomography in patients with haemoptysis may be unncessary. Eur Clin Respir J. 2016;3(1):31802.

    Article  Google Scholar 

  23. Thirumaran M, Sundar R, Sutcliffe IM, Currie DC. Is investigation of patients with haemoptysis and normal chest radiograph justified? Thorax. 2009;64:854–6.

    Article  CAS  Google Scholar 

  24. Jacobs PC, Mali WP, Grobbee DE, van der Graaf Y. Prevalence of incidental findings in computed tomographic screening of the chest: a systematic review. J Comput Assist Tomogr. 2008;32(2):214–21.

    Article  Google Scholar 

  25. Evison M, Crosbie PA, Morris J, Martin J, Barber PV, et al. A study of patients with isolated mediastinal and hilar lymphadenopathy undergoing EBUS-TBNA. BMJ Open Resp Res. 2014;1:e000040.

  26. Munden RF, Carter BW, Chiles C, MacMahon H, Black WC, et al. Managing incidental findings on thoracic CT: Mediastinal and cardiovascular findings. A White paper of the ACR incidental findings committee. J Am Coll Radiol. 2018;15(8):1087–96.

    Article  Google Scholar 

  27. Chung K, Mets OM, Gerke PK, Jacobs C, den Harder AM, et al. Brock malignancy risk calculator for pulmonary nodules: validation outside a lung cancer screening population. Thorax. 2018;73(9):857–63.

    Article  Google Scholar 

  28. Wiebe ER, Kaczorowski J, MacKay J. Why are response rates in clinician surveys declining? Can Fam Physician. 2012;58(4):e225–e8.

    PubMed  PubMed Central  Google Scholar 

  29. Brtnikova M, Crane LA, Allison MA, Hurley LP, Beaty BL, et al. A method for achieving high response rates in national surveys of US primary care physicians. PLoS ONE. 2018;13(8).

  30. Wijeratne C, Earl JK, Peisah C, Luscombe GM, Tibbertsma J. Professional and psychosocial factors affecting the intention to retire of Australian medical practitioners. Med J Aust. 2017;206(5):209–14.

    Article  Google Scholar 

Download references


We acknowledge Dr. James Ogundipe for his contribution in the early stages of study design.


The study was funded with a one-off research grant awarded to Dr. Manners and a Clinical Cancer Research Fellowship awarded to Dr. Brownell, both from the Western Australian Cancer and Palliative Care Network. The funding bodies had no role in the design of the study, data collection and interpretation or preparation of the manuscript.

Author information

Authors and Affiliations



PB conducted the literature review, developed the case vignettes and prepared the manuscript. FP contributed to the study design and critically appraised the manuscript. RN designed the orthogonal matrix of case vignettes and contributed to the study design. FB contributed to the study design. DM contributed to the study design and performed the statistical analysis. All authors read and approved the final manuscript.

Corresponding author

Correspondence to P. Brownell.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the St John of God Human Research Ethics Committee (reference 1302). Participant consent was implied by survey completion and this methodology was approved by the institutional ethics board.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

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

The original version of this article was revised to correct errors in Table 1-3.

Supplementary information

Additional file 1.

Lung nodule case vignettes.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( 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

Brownell, P., Piccolo, F., Brims, F. et al. Does this lung nodule need urgent review? A discrete choice experiment of Australian general practitioners. BMC Pulm Med 20, 24 (2020).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: