Skip to main content
Top
Published in: BMC Primary Care 1/2017

Open Access 01-12-2017 | Research article

Impact of a continuing medical education meeting on the use and timing of urgent cancer referrals among general practitioners - a before-after study

Authors: Berit Skjødeberg Toftegaard, Flemming Bro, Alina Zalounina Falborg, Peter Vedsted

Published in: BMC Primary Care | Issue 1/2017

Login to get access

Abstract

Background

Detection of cancer in general practice is challenging because symptoms are diverse. Even so-called alarm symptoms have low positive predictive values of cancer. Nevertheless, appropriate referral is crucial. As 85% of cancer patients initiate their cancer diagnostic pathway in general practice, a Continuing Medical Education meeting (CME-M) in early cancer diagnosis was launched in Denmark in 2012. We aimed to investigate the effect of the CME-M on the primary care interval, patient contacts with general practice and use of urgent cancer referrals.

Methods

A before-after study was conducted in the Central Denmark Region included 396 general practices, which were assigned to one of eight geographical clusters. Practices were invited to participate in the CME-M with three-week intervals between clusters. Based on register data, we calculated urgent referral rates and patient contacts with general practice before referral. Information about primary care intervals was collected by requesting general practitioners to complete a one-page form for each urgent referral during an 8-month period around the time of the CME-Ms. CME-M practices were compared with non-participating reference practices by analysing before-after differences.

Results

Forty percent of all practices participated in the CME-M. There was a statistically significant reduction in the number of total contacts with general practice from urgently referred patients in the month preceding the referral and an increase in the proportion of patients who waited 14 days or more in general practice from the reported date of symptom presentation to the referral date from before to after the CME-M in the CME-M group compared to the reference group.

Conclusions

We found a reduced number of total patient contacts with general practice within the month preceding an urgent referral and an increase in the reported primary care intervals of urgently referred patients in the CME-M group. The trend towards higher urgent referral rates and longer primary care intervals may suggest raised awareness of unspecific cancer symptoms, which could cause the GP to register an earlier date of first symptom presentation. The standardised CME-M may contribute to optimising the timing and the use of urgent cancer referral.

Trial registration

NCT02069470 on ClinicalTrials.gov. Retrospectively registered, 1/29/2014
Appendix
Available only for authorised users
Literature
1.
go back to reference Coleman MP, Forman D, Bryant H, Butler J, Rachet B, Maringe C, et al. Cancer survival in Australia, Canada, Denmark, Norway, Sweden, and the UK, 1995–2007 (the International cancer benchmarking partnership): an analysis of population-based cancer registry data. Lancet. 2011;377(9760):127–38.CrossRefPubMedPubMedCentral Coleman MP, Forman D, Bryant H, Butler J, Rachet B, Maringe C, et al. Cancer survival in Australia, Canada, Denmark, Norway, Sweden, and the UK, 1995–2007 (the International cancer benchmarking partnership): an analysis of population-based cancer registry data. Lancet. 2011;377(9760):127–38.CrossRefPubMedPubMedCentral
2.
go back to reference Ferlay J, Steliarova-Foucher E, Lortet-Tieulent J, Rosso S, Coebergh JW, Comber H, et al. Cancer incidence and mortality patterns in Europe: estimates for 40 countries in 2012. Eur J Cancer. 2013;49(6):1374–403.CrossRefPubMed Ferlay J, Steliarova-Foucher E, Lortet-Tieulent J, Rosso S, Coebergh JW, Comber H, et al. Cancer incidence and mortality patterns in Europe: estimates for 40 countries in 2012. Eur J Cancer. 2013;49(6):1374–403.CrossRefPubMed
3.
go back to reference Allgar VL, Neal RD. Delays in the diagnosis of six cancers: analysis of data from the national survey of NHS patients: cancer. Br J Cancer. 2005;92(11):1959–70.CrossRefPubMedPubMedCentral Allgar VL, Neal RD. Delays in the diagnosis of six cancers: analysis of data from the national survey of NHS patients: cancer. Br J Cancer. 2005;92(11):1959–70.CrossRefPubMedPubMedCentral
4.
go back to reference Hansen RP, Vedsted P, Sokolowski I, Sondergaard J, Olesen F. Time intervals from first symptom to treatment of cancer: a cohort study of 2,212 newly diagnosed cancer patients. BMC Health Serv Res. 2011;11(1):284.CrossRefPubMedPubMedCentral Hansen RP, Vedsted P, Sokolowski I, Sondergaard J, Olesen F. Time intervals from first symptom to treatment of cancer: a cohort study of 2,212 newly diagnosed cancer patients. BMC Health Serv Res. 2011;11(1):284.CrossRefPubMedPubMedCentral
5.
go back to reference Richards MA, Smith P, Ramirez AJ, Fentiman IS, Rubens RD. The influence on survival of delay in the presentation and treatment of symptomatic breast cancer. Br J Cancer. 1999;79(5):858–64.CrossRefPubMedPubMedCentral Richards MA, Smith P, Ramirez AJ, Fentiman IS, Rubens RD. The influence on survival of delay in the presentation and treatment of symptomatic breast cancer. Br J Cancer. 1999;79(5):858–64.CrossRefPubMedPubMedCentral
6.
go back to reference Neal RD, Tharmanathan P, France B, Din NU, Cotton S, Fallon-Ferguson J, et al. Is increased time to diagnosis and treatment in symptomatic cancer associated with poorer outcomes? Systematic review. Br J Cancer. 2015;112(Suppl):S92–S107.CrossRefPubMedPubMedCentral Neal RD, Tharmanathan P, France B, Din NU, Cotton S, Fallon-Ferguson J, et al. Is increased time to diagnosis and treatment in symptomatic cancer associated with poorer outcomes? Systematic review. Br J Cancer. 2015;112(Suppl):S92–S107.CrossRefPubMedPubMedCentral
7.
go back to reference Torring ML, Frydenberg M, Hansen RP, Olesen F, Vedsted P. Evidence of increasing mortality with longer diagnostic intervals for five common cancers: A cohort study in primary care. Eur J Cancer. 2013;49(9):2187–98.CrossRefPubMed Torring ML, Frydenberg M, Hansen RP, Olesen F, Vedsted P. Evidence of increasing mortality with longer diagnostic intervals for five common cancers: A cohort study in primary care. Eur J Cancer. 2013;49(9):2187–98.CrossRefPubMed
8.
go back to reference Moller H, Gildea C, Meechan D, Rubin G, Round T, Vedsted P. Use of the English urgent referral pathway for suspected cancer and mortality in patients with cancer: cohort study. BMJ. 2015;351:h5102.CrossRefPubMedPubMedCentral Moller H, Gildea C, Meechan D, Rubin G, Round T, Vedsted P. Use of the English urgent referral pathway for suspected cancer and mortality in patients with cancer: cohort study. BMJ. 2015;351:h5102.CrossRefPubMedPubMedCentral
10.
go back to reference Nielsen TN, Hansen RP, Vedsted P. Symptom presentation in cancer patients in general practice. Ugeskr Laeger. 2010;172(41):2827–31.PubMed Nielsen TN, Hansen RP, Vedsted P. Symptom presentation in cancer patients in general practice. Ugeskr Laeger. 2010;172(41):2827–31.PubMed
11.
go back to reference Shapley M, Mansell G, Jordan JL, Jordan KP. Positive predictive values of >5% in primary care for cancer: systematic review. Br J Gen Pract. 2010;60(578):e366–77.CrossRefPubMedPubMedCentral Shapley M, Mansell G, Jordan JL, Jordan KP. Positive predictive values of >5% in primary care for cancer: systematic review. Br J Gen Pract. 2010;60(578):e366–77.CrossRefPubMedPubMedCentral
12.
go back to reference Jones R, Latinovic R, Charlton J, Gulliford MC. Alarm symptoms in early diagnosis of cancer in primary care: cohort study using general practice research database. BMJ. 2007;334(7602):1040.CrossRefPubMedPubMedCentral Jones R, Latinovic R, Charlton J, Gulliford MC. Alarm symptoms in early diagnosis of cancer in primary care: cohort study using general practice research database. BMJ. 2007;334(7602):1040.CrossRefPubMedPubMedCentral
13.
go back to reference Hamilton W. The CAPER studies: five case–control studies aimed at identifying and quantifying the risk of cancer in symptomatic primary care patients. Br J Cancer. 2009;101 Suppl 2:S80-6.PubMed Hamilton W. The CAPER studies: five case–control studies aimed at identifying and quantifying the risk of cancer in symptomatic primary care patients. Br J Cancer. 2009;101 Suppl 2:S80-6.PubMed
14.
go back to reference Christensen KG, Fenger-Gron M, Flarup KR, Vedsted P. Use of general practice, diagnostic investigations and hospital services before and after cancer diagnosis - a population-based nationwide registry study of 127,000 incident adult cancer patients. BMC Health Serv Res. 2012;12:224–6963. 12-224.CrossRefPubMedPubMedCentral Christensen KG, Fenger-Gron M, Flarup KR, Vedsted P. Use of general practice, diagnostic investigations and hospital services before and after cancer diagnosis - a population-based nationwide registry study of 127,000 incident adult cancer patients. BMC Health Serv Res. 2012;12:224–6963. 12-224.CrossRefPubMedPubMedCentral
15.
go back to reference Jensen H, Torring ML, Olesen F, Overgaard J, Fenger-Gron M, Vedsted P. Diagnostic intervals before and after implementation of cancer patient pathways - a GP survey and registry based comparison of three cohorts of cancer patients. BMC Cancer. 2015;15:308–015. 1317-7.CrossRefPubMedPubMedCentral Jensen H, Torring ML, Olesen F, Overgaard J, Fenger-Gron M, Vedsted P. Diagnostic intervals before and after implementation of cancer patient pathways - a GP survey and registry based comparison of three cohorts of cancer patients. BMC Cancer. 2015;15:308–015. 1317-7.CrossRefPubMedPubMedCentral
17.
go back to reference Toftegaard B, Bro F, Vedsted P. A geographical cluster randomised stepped wedge study of continuing medical education and cancer diagnosis in general practice. Implement Sci. 2014;9(1):159.CrossRefPubMedPubMedCentral Toftegaard B, Bro F, Vedsted P. A geographical cluster randomised stepped wedge study of continuing medical education and cancer diagnosis in general practice. Implement Sci. 2014;9(1):159.CrossRefPubMedPubMedCentral
18.
go back to reference Toftegaard BS, Bro F, Falborg AZ, Vedsted P. Impact of continuing medical education in cancer diagnosis on GP knowledge, attitude and readiness to investigate - a before-after study. BMC Fam Pract. 2016 Jul 26;17:10.1186/s12875,016-0496-x. Toftegaard BS, Bro F, Falborg AZ, Vedsted P. Impact of continuing medical education in cancer diagnosis on GP knowledge, attitude and readiness to investigate - a before-after study. BMC Fam Pract. 2016 Jul 26;17:10.​1186/​s12875,016-0496-x.
20.
go back to reference Pedersen KM, Andersen JS, Sondergaard J. General practice and primary health care in Denmark. J Am Board Fam Med. 2012;25(Suppl 1):S34–8. Pedersen KM, Andersen JS, Sondergaard J. General practice and primary health care in Denmark. J Am Board Fam Med. 2012;25(Suppl 1):S34–8.
22.
go back to reference Probst HB, Hussain ZB, Andersen O. Cancer patient pathways in Denmark as a joint effort between bureaucrats, health professionals and politicians-a national Danish project. Health Policy. 2012;105(1):65–70.CrossRefPubMed Probst HB, Hussain ZB, Andersen O. Cancer patient pathways in Denmark as a joint effort between bureaucrats, health professionals and politicians-a national Danish project. Health Policy. 2012;105(1):65–70.CrossRefPubMed
23.
24.
go back to reference Hamilton W, Peters TJ, Bankhead C, Sharp D. Risk of ovarian cancer in women with symptoms in primary care: population based case–control study. BMJ. 2009;339(0959–535):b2998.CrossRefPubMedPubMedCentral Hamilton W, Peters TJ, Bankhead C, Sharp D. Risk of ovarian cancer in women with symptoms in primary care: population based case–control study. BMJ. 2009;339(0959–535):b2998.CrossRefPubMedPubMedCentral
25.
go back to reference Jensen H, Nissen A, Vedsted P. Quality deviations in cancer diagnosis: prevalence and time to diagnosis in general practice. Br J Gen Pract. 2014;64(619):e92–8.CrossRefPubMedPubMedCentral Jensen H, Nissen A, Vedsted P. Quality deviations in cancer diagnosis: prevalence and time to diagnosis in general practice. Br J Gen Pract. 2014;64(619):e92–8.CrossRefPubMedPubMedCentral
26.
go back to reference Lyratzopoulos G, Vedsted P, Singh H. Understanding missed opportunities for more timely diagnosis of cancer in symptomatic patients after presentation. Br J Cancer. 2015;112 Suppl 1:S84–91.CrossRefPubMedPubMedCentral Lyratzopoulos G, Vedsted P, Singh H. Understanding missed opportunities for more timely diagnosis of cancer in symptomatic patients after presentation. Br J Cancer. 2015;112 Suppl 1:S84–91.CrossRefPubMedPubMedCentral
27.
go back to reference Quekel LG, Kessels AG, Goei R, van Engelshoven JM. Miss rate of lung cancer on the chest radiograph in clinical practice. Chest. 1999;115(3):720–4.CrossRefPubMed Quekel LG, Kessels AG, Goei R, van Engelshoven JM. Miss rate of lung cancer on the chest radiograph in clinical practice. Chest. 1999;115(3):720–4.CrossRefPubMed
28.
go back to reference Stapley S, Sharp D, Hamilton W. Negative chest X-rays in primary care patients with lung cancer. Br J Gen Pract. 2006;56(529):570–3.PubMedPubMedCentral Stapley S, Sharp D, Hamilton W. Negative chest X-rays in primary care patients with lung cancer. Br J Gen Pract. 2006;56(529):570–3.PubMedPubMedCentral
29.
go back to reference Rubin G, Berendsen A, Crawford SM, Dommett R, Earle C, Emery J, et al. The expanding role of primary care in cancer control. Lancet Oncol. 2015;16(12):1231–72.CrossRefPubMed Rubin G, Berendsen A, Crawford SM, Dommett R, Earle C, Emery J, et al. The expanding role of primary care in cancer control. Lancet Oncol. 2015;16(12):1231–72.CrossRefPubMed
30.
go back to reference Weller D, Vedsted P, Rubin G, Walter FM, Emery J, Scott S, et al. The Aarhus statement: improving design and reporting of studies on early cancer diagnosis. Br J Cancer. 2012;106(7):126210–1267.CrossRef Weller D, Vedsted P, Rubin G, Walter FM, Emery J, Scott S, et al. The Aarhus statement: improving design and reporting of studies on early cancer diagnosis. Br J Cancer. 2012;106(7):126210–1267.CrossRef
31.
go back to reference Toftegaard BS, Guldbrandt LM, Flarup KR, Beyer H, Bro F, Vedsted P. Development of an algorithm to identify urgent referrals for suspected cancer from the Danish primary care referral database. Clin Epidemiol. 2016;8:751–9.CrossRefPubMedPubMedCentral Toftegaard BS, Guldbrandt LM, Flarup KR, Beyer H, Bro F, Vedsted P. Development of an algorithm to identify urgent referrals for suspected cancer from the Danish primary care referral database. Clin Epidemiol. 2016;8:751–9.CrossRefPubMedPubMedCentral
34.
go back to reference Olivarius NF, Hollnagel H, Krasnik A, Pedersen PA, Thorsen H. The Danish national health register. A tool for primary health care research. Dan Med Bull. 1997;44(4):449–53.PubMed Olivarius NF, Hollnagel H, Krasnik A, Pedersen PA, Thorsen H. The Danish national health register. A tool for primary health care research. Dan Med Bull. 1997;44(4):449–53.PubMed
35.
go back to reference Storm HH, Michelsen EV, Clemmensen IH, Pihl J. The Danish cancer registry-history, content, quality and use. Dan Med Bull. 1997;44:535–9.PubMed Storm HH, Michelsen EV, Clemmensen IH, Pihl J. The Danish cancer registry-history, content, quality and use. Dan Med Bull. 1997;44:535–9.PubMed
36.
go back to reference Timmermans B. The Danish integrated database for labor market research: towards demystification for the English speaking audience. Aalborg: Aalborg University; 2010. Timmermans B. The Danish integrated database for labor market research: towards demystification for the English speaking audience. Aalborg: Aalborg University; 2010.
37.
go back to reference Quan H, Li B, Couris CM, Fushimi K, Graham P, Hider P, et al. Updating and validating the charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries. Am J Epidemiol. 2011;173(6):676–82.CrossRefPubMed Quan H, Li B, Couris CM, Fushimi K, Graham P, Hider P, et al. Updating and validating the charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries. Am J Epidemiol. 2011;173(6):676–82.CrossRefPubMed
38.
go back to reference Lidegaard O, Hammerum MS. The national patient registry as a tool for continuous production and quality control. Ugeskr Laeger. 2002;164(38):4420–3.PubMed Lidegaard O, Hammerum MS. The national patient registry as a tool for continuous production and quality control. Ugeskr Laeger. 2002;164(38):4420–3.PubMed
39.
go back to reference Lyratzopoulos G, Saunders CL, Abel GA, McPhail S, Neal RD, Wardle J, et al. The relative length of the patient and the primary care interval in patients with 28 common and rarer cancers. Br J Cancer. 2015;112 Suppl 1:S35–40.CrossRefPubMedPubMedCentral Lyratzopoulos G, Saunders CL, Abel GA, McPhail S, Neal RD, Wardle J, et al. The relative length of the patient and the primary care interval in patients with 28 common and rarer cancers. Br J Cancer. 2015;112 Suppl 1:S35–40.CrossRefPubMedPubMedCentral
40.
go back to reference Cameron A, Trivedi P. Regression analysis of count data. Econometric Society Monograph. 53rd ed. Cambridge: Cambridge University Press; 2013.CrossRef Cameron A, Trivedi P. Regression analysis of count data. Econometric Society Monograph. 53rd ed. Cambridge: Cambridge University Press; 2013.CrossRef
41.
go back to reference Fitzmaurice G, Laird N, Ware J. Applied Longitudinal Analysis. 2nd ed. New York: Wiley; 2004. Fitzmaurice G, Laird N, Ware J. Applied Longitudinal Analysis. 2nd ed. New York: Wiley; 2004.
43.
go back to reference Hamilton W, Green T, Martins T, Elliott K, Rubin G, Macleod U. Evaluation of risk assessment tools for suspected cancer in general practice: a cohort study. Br J Gen Pract. 2013;63(606):e30–6.CrossRefPubMed Hamilton W, Green T, Martins T, Elliott K, Rubin G, Macleod U. Evaluation of risk assessment tools for suspected cancer in general practice: a cohort study. Br J Gen Pract. 2013;63(606):e30–6.CrossRefPubMed
44.
go back to reference Green T, Martins T, Hamilton W, Rubin G, Elliott K, Macleod U. Exploring GPs’ experiences of using diagnostic tools for cancer: a qualitative study in primary care. Fam Pract. 2015;32(1):101–5.CrossRefPubMed Green T, Martins T, Hamilton W, Rubin G, Elliott K, Macleod U. Exploring GPs’ experiences of using diagnostic tools for cancer: a qualitative study in primary care. Fam Pract. 2015;32(1):101–5.CrossRefPubMed
45.
go back to reference Dikomitis L, Green T, Macleod U. Embedding electronic decision-support tools for suspected cancer in primary care: a qualitative study of GPs’ experiences. Prim Health Care Res Dev. 2015;16(6):548–55.CrossRefPubMed Dikomitis L, Green T, Macleod U. Embedding electronic decision-support tools for suspected cancer in primary care: a qualitative study of GPs’ experiences. Prim Health Care Res Dev. 2015;16(6):548–55.CrossRefPubMed
46.
go back to reference Moore GF, Audrey S, Barker M, Bond L, Bonell C, Hardeman W, et al. Process evaluation of complex interventions: medical research council guidance. BMJ. 2015;350:h1258.CrossRefPubMedPubMedCentral Moore GF, Audrey S, Barker M, Bond L, Bonell C, Hardeman W, et al. Process evaluation of complex interventions: medical research council guidance. BMJ. 2015;350:h1258.CrossRefPubMedPubMedCentral
47.
go back to reference Ribe AR, Fenger-Gron M, Vedsted P, Bro F, Kaersvang L, Vestergaard M. Several factors influenced general practitioner participation in the implementation of a disease management programme. Dan Med J. 2014;61(9):A4901.PubMed Ribe AR, Fenger-Gron M, Vedsted P, Bro F, Kaersvang L, Vestergaard M. Several factors influenced general practitioner participation in the implementation of a disease management programme. Dan Med J. 2014;61(9):A4901.PubMed
48.
go back to reference Ross S, Grant A, Counsell C, Gillespie W, Russell I, Prescott R. Barriers to participation in randomised controlled trials: a systematic review. J Clin Epidemiol. 1999;52(12):1143–56.CrossRefPubMed Ross S, Grant A, Counsell C, Gillespie W, Russell I, Prescott R. Barriers to participation in randomised controlled trials: a systematic review. J Clin Epidemiol. 1999;52(12):1143–56.CrossRefPubMed
49.
go back to reference Rogers EM. Diffusions of innovations. New York: Simon & Schuster Ltd; 2013. Rogers EM. Diffusions of innovations. New York: Simon & Schuster Ltd; 2013.
50.
go back to reference Robinson G. Do general practitioners’ risk-taking propensities and learning styles influence their continuing medical education preferences? Med Teach. 2002;24(1):71–8.CrossRefPubMed Robinson G. Do general practitioners’ risk-taking propensities and learning styles influence their continuing medical education preferences? Med Teach. 2002;24(1):71–8.CrossRefPubMed
Metadata
Title
Impact of a continuing medical education meeting on the use and timing of urgent cancer referrals among general practitioners - a before-after study
Authors
Berit Skjødeberg Toftegaard
Flemming Bro
Alina Zalounina Falborg
Peter Vedsted
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Primary Care / Issue 1/2017
Electronic ISSN: 2731-4553
DOI
https://doi.org/10.1186/s12875-017-0607-3

Other articles of this Issue 1/2017

BMC Primary Care 1/2017 Go to the issue