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Public reporting of clinician-level data

Rachel Canaway, Marie M Bismark, David Dunt and Margaret A Kelaher
Med J Aust 2017; 207 (6): . || doi: 10.5694/mja16.01402
Published online: 18 September 2017

There is much debate about public disclosure of individual doctors’ performance to increase hospital quality and safety, but research is lacking

In 2016, media coverage of a cluster of preventable deaths of babies born at a Victorian health service1 shone a spotlight in Australia on the role of public reporting of hospital performance data in assuring quality and safety. The subsequent Victorian government review2 suggested that the Victorian health system must develop a culture of candour with improved transparency at every level of the hospital system “through greater public reporting of outcomes data and support for a just culture in hospitals”.2 Other failures in hospital quality have similarly triggered inquiries and health system reform in Australia.3,4 For example, Queensland’s Bundaberg Hospital scandal in 2005 triggered changes to public reporting to further encourage cultures in hospitals to move away from the “name–shame–blame” approach.5

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Road safety: serious injuries remain a major unsolved problem

Ben Beck, Peter A Cameron, Mark C Fitzgerald, Rodney T Judson, Warwick Teague, Ronan A Lyons and Belinda J Gabbe
Med J Aust 2017; 207 (6): . || doi: 10.5694/mja17.00015
Published online: 11 September 2017

Abstract

Objective: To investigate temporal trends in the incidence, mortality, disability-adjusted life-years (DALYs), and costs of health loss caused by serious road traffic injury.

Design, setting and participants: A retrospective review of data from the population-based Victorian State Trauma Registry and the National Coronial Information System on road traffic-related deaths (pre- and in-hospital) and major trauma (Injury Severity Score > 12) during 2007–2015.

Main outcomes and measures: Temporal trends in the incidence of road traffic-related major trauma, mortality, DALYs, and costs of health loss, by road user type.

Results: There were 8066 hospitalised road traffic major trauma cases and 2588 road traffic fatalities in Victoria over the 9-year study period. There was no change in the incidence of hospitalised major trauma for motor vehicle occupants (incidence rate ratio [IRR] per year, 1.00; 95% CI, 0.99–1.01; P = 0.70), motorcyclists (IRR, 0.99; 95% CI, 0.97–1.01; P = 0.45) or pedestrians (IRR, 1.00; 95% CI, 0.97–1.02; P = 0.73), but the incidence for pedal cyclists increased 8% per year (IRR, 1.08; 95% CI; 1.05–1.10; P < 0.001). While DALYs declined for motor vehicle occupants (by 13% between 2007 and 2015), motorcyclists (32%), and pedestrians (5%), there was a 56% increase in DALYs for pedal cyclists. The estimated costs of health loss associated with road traffic injuries exceeded $14 billion during 2007–2015, although the cost per patient declined for all road user groups.

Conclusions: As serious injury rates have not declined, current road safety targets will be difficult to meet. Greater attention to preventing serious injury is needed, as is further investment in road safety, particularly for pedal cyclists.

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  • 1 Monash University, Melbourne, VIC
  • 2 Emergency and Trauma Centre, The Alfred Hospital, Melbourne, VIC
  • 3 National Trauma Research Institute, Melbourne, VIC
  • 4 Private Medical Centre, Royal Melbourne Hospital, Melbourne, VIC
  • 5 Royal Children's Hospital, Melbourne
  • 6 Farr Institute, Swansea University, Swansea, Wales, United Kingdom


Correspondence: ben.beck@monash.edu

Acknowledgements: 

The Victorian State Trauma Registry (VSTR) is funded by the Department of Health and Human Services, the State Government of Victoria, and the Transport Accident Commission. Ben Beck received salary support from the National Health and Medical Research Council (NHRMC) Australian Resuscitation Outcomes Consortium (Aus-ROC) Centre of Research Excellence (1029983). Peter Cameron was supported by an NHMRC Practitioner Fellowship (545926) and Belinda Gabbe by an NHMRC Career Development Fellowship (GNT1048731). Warwick Teague’s role as director of trauma services at the Royal Children’s Hospital, Melbourne, is supported by a grant from the Royal Children’s Hospital Foundation. We thank the Victorian State Trauma Outcome Registry and Monitoring (VSTORM) group for providing VSTR data. We also thank Sue McLellan for her assistance with the data, Pam Simpson for her statistical support, and David Attwood from the Transport Accident Commission for his suggestions and advice.

Competing interests:

No relevant disclosures.

  • 1. Haagsma JA, Graetz N, Bolliger I, et al. The global burden of injury: incidence, mortality, disability-adjusted life years and time trends from the Global Burden of Disease study 2013. Inj Prev 2016; 22: 3-18.
  • 2. Henley G, Harrison JE. Trends in injury deaths, Australia: 1999–00 to 2009–10 (AIHW Cat. No. INJCAT 150; Injury Research and Statistics Series No. 74). Canberra: Australian Institute of Health and Welfare, 2015.
  • 3. Gabbe BJ, Lyons RA, Fitzgerald MC, et al. Reduced population burden of road transport-related major trauma after introduction of an inclusive trauma system. Ann Surg 2015; 261: 565-572.
  • 4. Cameron PA, Gabbe BJ, Cooper DJ, et al. A statewide system of trauma care in Victoria: effect on patient survival. Med J Aust 2008; 189: 546-550. <MJA full text>
  • 5. Gabbe BJ, Sutherland AM, Hart MJ, et al. Population-based capture of long-term functional and quality of life outcomes after major trauma: the experiences of the Victorian State Trauma Registry. J Trauma Acute Care Surg 2010; 69: 532-536.
  • 6. Henley G, Harrison JE. Trends in serious injury due to land transport accidents, Australia: 2000–01 to 2008–09 (AIHW Cat. No. INJCAT 142). Canberra: Australian Institute of Health and Welfare, 2012.
  • 7. Lyons RA, Ward H, Brunt H, et al. Using multiple datasets to understand trends in serious road traffic casualties. Accid Anal Prev 2008; 40: 1406-1410.
  • 8. Cameron PA, Finch CF, Gabbe BJ, et al. Developing Australia’s first statewide trauma registry: what are the lessons? ANZ J Surg 2004; 74: 424-428.
  • 9. Palmer CS, Gabbe BJ, Cameron PA. Defining major trauma using the 2008 Abbreviated Injury Scale. Injury 2016; 47: 109-115.
  • 10. Brooks R. EuroQol: the current state of play. Health Policy 1996; 37: 53-72.
  • 11. Dolan P. Modeling valuations for EuroQol health states. Med Care 1997; 35: 1095-1108.
  • 12. Gabbe BJ, Lyons RA, Sutherland AM, et al. Level of agreement between patient and proxy responses to the EQ-5D health questionnaire 12 months after injury. J Trauma Acute Care Surg 2012; 72: 1102-1105.
  • 13. Gabbe BJ, Lyons RA, Simpson PM, et al. Disability weights based on patient-reported data from a multinational injury cohort. Bull World Health Organ 2016; 94: 806-816.
  • 14. Australian Bureau of Statistics. 3302.0.55.001. Life tables, states, territories and Australia, 2013–2015. Oct 2016. http://www.abs.gov.au/ausstats/abs@.nsf/mf/3302.0.55.001 (accessed Dec 2016).
  • 15. Murray CJ, Acharya AK. Understanding DALYs. J Health Econ 1997; 16: 703-730.
  • 16. Prüss-Ustün A, Mathers C, Corvalán C, Woodward A. Introduction and methods: assessing the environmental burden of disease at national and local levels (Environmental Burden of Disease Series No. 1). Geneva: World Health Organization, 2003. http://www.who.int/quantifying_ehimpacts/publications/9241546204/en/ (accessed Dec 2016).
  • 17. Australian Government, Department of the Prime Minister and Cabinet, Office of Best Practice. Best practice regulation guidance note: Value of statistical life. Dec 2014. https://www.dpmc.gov.au/sites/default/files/publications/Value_of_Statistical_Life_guidance_note.pdf (accessed Dec 2016).
  • 18. Sanford T, McCulloch CE, Callcut RA, et al. Bicycle trauma injuries and hospital admissions in the United States, 1998–2013. JAMA 2015; 314: 947-949.
  • 19. Sikic M, Mikocka-Walus AA, Gabbe BJ, et al. Bicycling injuries and mortality in Victoria, 2001–2006. Med J Aust 2009; 190: 353-356.
  • 20. Australian Bicycle Council. Gearing up for active and sustainable communities. The Australian national cycling strategy 2011–2016 (Austroads Publication No. AP-C85/10). Sydney: Austroads, 2010. http://www.bicyclecouncil.com.au/files/publication/National-Cycling-Strategy-2011-2016.pdf (accessed Dec 2016).
  • 21. Walls HL, Curtis AJ, Stevenson CE, et al. Reductions in transport mortality in Australia: evidence of a public health success. Accid Anal Prev 2012; 49: 520-524.
  • 22. Belin M-Å, Tillgren P, Vedung E. Vision Zero — a road safety policy innovation. Int J Inj Contr Saf Promot 2012; 19: 171-179.
  • 23. Victorian State Government. Towards Zero 2016–2020: Victoria’s road safety strategy and action plan 2016. Melbourne: Victoria State Government, 2016. https://www.towardszero.vic.gov.au/__data/assets/pdf_file/0010/183556/STU_0206_RS_STRATEGY_2016_web.pdf (accessed July 2016).
  • 24. World Health Organization. Global status report on road safety 2013: supporting a decade of action. Geneva: World Health Organization, 2013. http://www.who.int/violence_injury_prevention/road_safety_status/2013/en/ (accessed Dec 2016).
  • 25. Lyons RA, Kendrick D, Towner EM, et al. Measuring the population burden of injuries — implications for global and national estimates: a multi-centre prospective UK longitudinal study. PLoS Med 2011; 8: e1001140.
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Radiation therapy and early breast cancer: current controversies

John Boyages
Med J Aust 2017; 207 (5): . || doi: 10.5694/mja16.01020
Published online: 4 September 2017

Summary

 

  • Radiation therapy (RT) is an important component of breast cancer treatment.
  • RT reduces local recurrence and breast cancer mortality after breast conservation for all patients and for node-positive patients after a mastectomy.
  • Short courses of RT over 3–4 weeks are generally as effective as longer courses.
  • A patient subgroup where RT can be avoided after conservative surgery has not been consistently identified.
  • A radiation boost reduces the risk of a recurrence in the breast but may be omitted for older patients with good prognosis tumours with clear margins.
  • Axillary recurrences can take a long time to appear, with 35% occurring after 5 years.
  • Leaving disease untreated in regional nodes is associated with reduced survival.
  • Not all patients require radiation after neoadjuvant chemotherapy and a subsequent mastectomy.
  • Modern RT equipment and techniques will further improve survival rates.

 


  • Macquarie University, Sydney, NSW


Correspondence: john.boyages@mq.edu.au

Acknowledgements: 

I thank Ellen Tailby for research assistance, Philippa Sutton for editing and managing earlier versions of the manuscript, and Sergio Duque and Lesley Baker for the volumetric modulated arc therapy plan of the patient shown in Box 5.

Competing interests:

No relevant disclosures.

  • 1. Grubbé EH. Priority in the therapeutic use of X-rays. Radiology 1933; 21: 156-162.
  • 2. Keynes G. The Radium Treatment of Primary Carcinoma of the Breast. Can Med Assoc J 1934; 30: 24-30.
  • 3. Halsted WS. I. The results of radical operations for the cure of carcinoma of the breast. Ann Surg 1907; 46: 1-19.
  • 4. Ginzton EL, Nunan CS. History of microwave electron linear accelerators for radiotherapy. Int J Radiat Oncol Biol Phys 1985; 11: 205-216.
  • 5. Darby S, McGale P, Correa C, et al. Effect of radiotherapy after breast-conserving surgery on 10-year recurrence and 15-year breast cancer death: meta-analysis of individual patient data for 10,801 women in 17 randomised trials. Lancet 2011; 378: 1707-1716.
  • 6. McGale P, Taylor C, Correa C, et al. Effect of radiotherapy after mastectomy and axillary surgery on 10-year recurrence and 20-year breast cancer mortality: meta-analysis of individual patient data for 8135 women in 22 randomised trials. Lancet 2014; 383: 2127-2135.
  • 7. Esposito E, Anninga B, Harris S, et al. Intraoperative radiotherapy in early breast cancer. Br J Surg 2015; 102: 599-610.
  • 8. Fisher B, Anderson S, Bryant J, et al. Twenty-year follow-up of a randomized trial comparing total mastectomy, lumpectomy, and lumpectomy plus irradiation for the treatment of invasive breast cancer. N Engl J Med 2002; 347: 1233-1241.
  • 9. Winzer KJ, Sauer R, Sauerbrei W, et al. Radiation therapy after breast-conserving surgery; first results of a randomised clinical trial in patients with low risk of recurrence. Eur J Cancer 2004; 40: 998-1005.
  • 10. Fyles AW, McCready DR, Manchul LA, et al. Tamoxifen with or without breast irradiation in women 50 years of age or older with early breast cancer. N Engl J Med 2004; 351: 963-970.
  • 11. Hughes KS, Schnaper LA, Berry D, et al. Lumpectomy plus tamoxifen with or without irradiation in women 70 years of age or older with early breast cancer. N Engl J Med 2004; 351: 971-977.
  • 12. Potter R, Gnant M, Kwasny W, et al. Lumpectomy plus tamoxifen or anastrozole with or without whole breast irradiation in women with favorable early breast cancer. Int J Radiat Oncol Biol Phys 2007; 68: 334-340.
  • 13. Blamey RW, Bates T, Chetty U, et al. Radiotherapy or tamoxifen after conserving surgery for breast cancers of excellent prognosis: British Association of Surgical Oncology (BASO) II trial. Eur J Cancer 2013; 49: 2294-2302.
  • 14. Kunkler IH, Williams LJ, Jack WJ, et al. Breast-conserving surgery with or without irradiation in women aged 65 years or older with early breast cancer (PRIME II): a randomised controlled trial. Lancet Oncol 2015; 16: 266-273.
  • 15. Australian Government Actuary. Australian life tables 2010–12: females. http://www.aga.gov.au/publications/life_table_2010-12/05-ALT-Females.asp (accessed July 2017).
  • 16. Early Breast Cancer Trialists' Collaborative Group (EBCTCG). Effects of chemotherapy and hormonal therapy for early breast cancer on recurrence and 15-year survival: an overview of the randomised trials. Lancet 2005; 365: 1687-1717.
  • 17. Boyages J, Taylor R, Chua B, et al. A risk index for early node-negative breast cancer. Br J Surg 2006; 93: 564-571.
  • 18. Mannino M, Yarnold JR. Local relapse rates are falling after breast conserving surgery and systemic therapy for early breast cancer: can radiotherapy ever be safely withheld? Radiother Oncol 2009; 90: 14-22.
  • 19. Hernandez RK, Sorensen HT, Pedersen L, et al. Tamoxifen treatment and risk of deep venous thrombosis and pulmonary embolism: a Danish population-based cohort study. Cancer 2009; 115: 4442-4449.
  • 20. Chakrabarti J, Kenny FS, Syed BM, et al. A randomised trial of mastectomy only versus tamoxifen for treating elderly patients with operable primary breast cancer-final results at 20-year follow-up. Crit Rev Oncol Hematol 2011; 78: 260-264.
  • 21. Haviland JS, Owen JR, Dewar JA, et al. The UK Standardisation of Breast Radiotherapy (START) trials of radiotherapy hypofractionation for treatment of early breast cancer: 10-year follow-up results of two randomised controlled trials. Lancet Oncol 2013; 14: 1086-1094.
  • 22. Whelan TJ, Pignol JP, Levine MN, et al. Long-term results of hypofractionated radiation therapy for breast cancer. N Engl J Med 2010; 362: 513-520.
  • 23. Bane AL, Whelan TJ, Pond GR, et al. Tumor factors predictive of response to hypofractionated radiotherapy in a randomized trial following breast conserving therapy. Ann Oncol 2014; 25: 992-998.
  • 24. Australian Government Cancer Australia. Clinical practice recommendations and practice points. https://canceraustralia.gov.au/publications-and-resources/clinical-practice-guidelines/hypofractionated-radiotherapy-early-operable-breast-cancer/clinical-practice-recommendations-and-practice-points (accessed July 2017).
  • 25. Smith BD, Bentzen SM, Correa CR, et al. Fractionation for whole breast irradiation: an American Society for Radiation Oncology (ASTRO) evidence-based guideline. Int J Radiat Oncol Biol Phys 2011; 81: 59-68.
  • 26. Harnett A, Smallwood J, Titshall V, et al. Diagnosis and treatment of early breast cancer, including locally advanced disease–summary of NICE guidance. BMJ 2009; 338: 598-600.
  • 27. Shah C, Parsai S, Kotecha R, et al. Overview of outcomes with accelerated partial breast irradiation. In: Arthur DW, Vicini FA, Wazer DE, et al., editors. Short course breast radiotherapy. Cham: Springer, 2016; pp 229-244.
  • 28. Coles CE, Yarnold JR. Accelerated partial breast irradiation: the new standard? Lancet 2016; 387: 201-202.
  • 29. Strnad V, Ott OJ, Hildebrandt G, et al. 5-year results of accelerated partial breast irradiation using sole interstitial multicatheter brachytherapy versus whole-breast irradiation with boost after breast-conserving surgery for low-risk invasive and in-situ carcinoma of the female breast: a randomised, phase 3, non-inferiority trial. Lancet 2016; 387: 229-238.
  • 30. Holland R, Connolly JL, Gelman R, et al. The presence of an extensive intraductal component following a limited excision correlates with prominent residual disease in the remainder of the breast. J Clin Oncol 1990; 8: 113-118.
  • 31. Boyages J, Bosch C, Langlands AO, et al. Breast conservation: long-term Australian data. Int J Radiat Oncol Biol Phys 1992; 24: 253-260.
  • 32. Boyages J, Recht A, Connolly JL, et al. Early breast cancer: predictors of breast recurrence for patients treated with conservative surgery and radiation therapy. Radiother Oncol 1990; 19: 29-41.
  • 33. Connolly JL, Boyages J, Nixon AJ, et al. Predictors of breast recurrence after conservative surgery and radiation therapy for invasive breast cancer. Mod Pathol 1998; 11: 134-139.
  • 34. Leong C, Boyages J, Jayasinghe UW, et al. Effect of margins on ipsilateral breast tumor recurrence after breast conservation therapy for lymph node-negative breast carcinoma. Cancer 2004; 100: 1823-1832.
  • 35. Bartelink H, Maingon P, Poortmans P, et al. Whole-breast irradiation with or without a boost for patients treated with breast-conserving surgery for early breast cancer: 20-year follow-up of a randomised phase 3 trial. Lancet Oncol 2015; 16: 47-56.
  • 36. Vrieling C, van Werkhoven E, Maingon P, et al. Prognostic factors for local control in breast cancer after long-term follow-up in the EORTC boost vs no boost trial: a randomized clinical trial. JAMA Oncol 2017; 3: 42-48.
  • 37. Houssami N, Macaskill P, Marinovich ML, et al. Meta-analysis of the impact of surgical margins on local recurrence in women with early-stage invasive breast cancer treated with breast-conserving therapy. Eur J Cancer 2010; 46: 3219-3232.
  • 38. Hunt KK, Ballman KV, McCall LM, et al. Factors associated with local-regional recurrence after a negative sentinel node dissection: results of the ACOSOG Z0010 trial. Ann Surg 2012; 256: 428-436.
  • 39. Houssami N, Marinovich ML. Margins in breast-conserving surgery for early breast cancer: how much is good enough? Curr Breast Cancer Rep 2016; 8: 127-134.
  • 40. Moran MS, Schnitt SJ, Giuliano AE, et al. Society of Surgical Oncology-American Society for Radiation Oncology consensus guideline on margins for breast-conserving surgery with whole-breast irradiation in stages I and II invasive breast cancer. Int J Radiat Oncol Biol Phys 2014; 88: 553-564.
  • 41. Bodilsen A, Bjerre K, Offersen BV, et al. Importance of margin width in breast-conserving treatment of early breast cancer. J Surg Oncol 2016; 113: 609-615.
  • 42. Wang W, French J, Boyages J. Put the felt pen away: time to move on from a clinical mark-up for a breast boost. J Med Imaging Radiat Oncol 2012; 56: 375-378.
  • 43. Recht A, Comen EA, Fine RE, et al. Postmastectomy radiotherapy: an American Society of Clinical Oncology, American Society for Radiation Oncology, and Society of Surgical Oncology focused guideline update. Pract Radiat Oncol 2016; 6: e219-e234.
  • 44. Mamounas EP, Anderson SJ, Dignam JJ, et al. Predictors of locoregional recurrence after neoadjuvant chemotherapy: results from combined analysis of National Surgical Adjuvant Breast and Bowel Project B-18 and B-27. J Clin Oncol 2012; 30: 3960-3966.
  • 45. Fisher B, Brown A, Mamounas E, et al. Effect of preoperative chemotherapy on local-regional disease in women with operable breast cancer: findings from National Surgical Adjuvant Breast and Bowel Project B-18. J Clin Oncol 1997; 15: 2483-2493.
  • 46. Bear HD, Anderson S, Smith RE, et al. Sequential preoperative or postoperative docetaxel added to preoperative doxorubicin plus cyclophosphamide for operable breast cancer: National Surgical Adjuvant Breast and Bowel Project Protocol B-27. J Clin Oncol 2006; 24: 2019-2027.
  • 47. Boughey JC, McCall LM, Ballman KV, et al. Tumor biology correlates with rates of breast-conserving surgery and pathologic complete response after neoadjuvant chemotherapy for breast cancer: findings from the ACOSOG Z1071 (Alliance) Prospective Multicenter Clinical Trial. Ann Surg 2014; 260: 608-614; discussion 614-606.
  • 48. Fowble BL, Einck JP, Kim DN, et al. Role of postmastectomy radiation after neoadjuvant chemotherapy in stage II-III breast cancer. Int J Radiat Oncol Biol Phys 2012; 83: 494-503.
  • 49. Truin W, Vugts G, Roumen RM, et al. Differences in response and surgical management with neoadjuvant chemotherapy in invasive lobular versus ductal breast cancer. Ann Surg Oncol 2016; 23: 51-57.
  • 50. Abdulkarim BS, Cuartero J, Hanson J, et al. Increased risk of locoregional recurrence for women with T1-2N0 triple-negative breast cancer treated with modified radical mastectomy without adjuvant radiation therapy compared with breast-conserving therapy. J Clin Oncol 2011; 29: 2852-2858.
  • 51. Lowery AJ, Kell MR, Glynn RW, et al. Locoregional recurrence after breast cancer surgery: a systematic review by receptor phenotype. Breast Cancer Res Treat 2012; 133: 831-841.
  • 52. Voduc KD, Cheang MC, Tyldesley S, et al. Breast cancer subtypes and the risk of local and regional relapse. J Clin Oncol 2010; 28: 1684-1691.
  • 53. Taghian AG, Jeong JH, Mamounas EP, et al. Low locoregional recurrence rate among node-negative breast cancer patients with tumors 5 cm or larger treated by mastectomy, with or without adjuvant systemic therapy and without radiotherapy: results from five National Surgical Adjuvant Breast and Bowel Project randomized clinical trials. J Clin Oncol 2006; 24: 3927-3932.
  • 54. Bazan JG, White JR. The role of postmastectomy radiation therapy in patients with breast cancer responding to neoadjuvant chemotherapy. Semin Radiat Oncol 2016; 26: 51-58.
  • 55. de Boer M, van Dijck JA, Bult P, et al. Breast cancer prognosis and occult lymph node metastases, isolated tumor cells, and micrometastases. J Natl Cancer Inst 2010; 102: 410-425.
  • 56. Chua B, Ung O, Taylor R, et al. Treatment implications of a positive sentinel lymph node biopsy for patients with early-stage breast carcinoma. Cancer 2001; 92: 1769-1774.
  • 57. Giuliano AE, McCall L, Beitsch P, et al. Locoregional recurrence after sentinel lymph node dissection with or without axillary dissection in patients with sentinel lymph node metastases: the American College of Surgeons Oncology Group Z0011 randomized trial. Ann Surg 2010; 252: 426-432; discussion 432-423.
  • 58. Giuliano AE, Ballman K, McCall L, et al. Locoregional recurrence after sentinel lymph node dissection with or without axillary dissection in patients with sentinel lymph node metastases: long-term follow-up from the American College of Surgeons Oncology Group (Alliance) ACOSOG Z0011 randomized trial. Ann Surg 2016; 264: 413-420.
  • 59. Boyages J, Winch C. Axillary versus sentinel-lymph-node dissection for micrometastatic breast cancer. Lancet Oncol 2013; 14: e250-e251.
  • 60. Coates AS, Winer EP, Goldhirsch A, et al. Tailoring therapies–improving the management of early breast cancer: St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2015. Ann Oncol 2015; 26: 1533-1546.
  • 61. Jagsi R, Chadha M, Moni J, et al. Radiation field design in the ACOSOG Z0011 (Alliance) Trial. J Clin Oncol 2014; 32: 3600-3606.
  • 62. Fisher B, Jeong JH, Anderson S, et al. Twenty-five-year follow-up of a randomized trial comparing radical mastectomy, total mastectomy, and total mastectomy followed by irradiation. N Engl J Med 2002; 347: 567-575.
  • 63. Donker M, van Tienhoven G, Straver ME, et al. Radiotherapy or surgery of the axilla after a positive sentinel node in breast cancer (EORTC 10981–22023 AMAROS): a randomised, multicentre, open-label, phase 3 non-inferiority trial. Lancet Oncol 2014; 15: 1303-1310.
  • 64. Haffty BG, Hunt KK, Harris JR, et al. Positive sentinel nodes without axillary dissection: implications for the radiation oncologist. J Clin Oncol 2011; 29: 4479-4481.
  • 65. Stibbe EP. The Internal Mammary Lymphatic Glands. J Anat 1918; 52: 257-264.
  • 66. Putti F. Ricerche anatomiche sui linfonodi mammari interni. Chir Ital 1953; 7: 161-172.
  • 67. Coombs NJ, Boyages J, French JR, et al. Internal mammary sentinel nodes: ignore, irradiate or operate? Eur J Cancer 2009; 45: 789-794.
  • 68. Thorsen LB, Offersen BV, Dano H, et al. DBCG-IMN: a population-based cohort study on the effect of internal mammary node irradiation in early node-positive breast cancer. J Clin Oncol 2016; 34: 314-320.
  • 69. Whelan TJ, Olivotto IA, Parulekar WR, et al. Regional nodal irradiation in early-stage breast cancer. N Engl J Med 2015; 373: 307-316.
  • 70. Hennequin C, Bossard N, Servagi-Vernat S, et al. Ten-year survival results of a randomized trial of irradiation of internal mammary nodes after mastectomy. Int J Radiat Oncol Biol Phys 2013; 86: 860-866.
  • 71. Chang JS, Park W, Kim YB, et al. Long-term survival outcomes following internal mammary node irradiation in stage II-III breast cancer: results of a large retrospective study with 12-year follow-up. Int J Radiat Oncol Biol Phys 2013; 86: 867-872.
  • 72. Courdi A, Chamorey E, Ferrero JM, et al. Influence of internal mammary node irradiation on long-term outcome and contralateral breast cancer incidence in node-negative breast cancer patients. Radiother Oncol 2013; 108: 259-265.
  • 73. Verma V, Vicini F, Tendulkar RD, et al. Role of internal mammary node radiation as a part of modern breast cancer radiation therapy: a systematic review. Int J Radiat Oncol Biol Phys 2016; 95: 617-631.
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Non-coeliac gluten or wheat sensitivity: emerging disease or misdiagnosis?

Michael DE Potter, Marjorie M Walker and Nicholas J Talley
Med J Aust 2017; 207 (5): . || doi: 10.5694/mja17.00332
Published online: 4 September 2017

Summary

 

  • Non-coeliac gluten or wheat sensitivity (NCG/WS) is a condition characterised by adverse gastrointestinal and/or extra-intestinal symptoms associated with the ingestion of gluten- or wheat-containing foods, in the absence of coeliac disease or wheat allergy.
  • Up to one in 100 people in Australia may have coeliac disease but many more report adverse gastrointestinal and/or extra-intestinal symptoms after eating wheat products.
  • In the absence of validated biomarkers, a diagnosis of NCG/WS can only be made by a double-blind, placebo-controlled, dietary crossover challenge with gluten, which is difficult to apply in clinical practice.
  • Of people self-reporting gluten or wheat sensitivity, only a small proportion (16%) will have reproducible symptoms after a blinded gluten challenge of gluten versus placebo in a crossover dietary trial and fulfil the current consensus criteria for a diagnosis of NCG/WS.
  • A wide range of symptoms are associated with NCG/WS, including gastrointestinal, neurological, psychiatric, rheumatological and dermatological complaints.
  • The pathogenesis of NCG/WS is not well understood, but the innate immune system has been implicated, and there is overlap with coeliac disease and the functional gastrointestinal disorders (irritable bowel syndrome and functional dyspepsia).
  • Identification of NCG/WS is important as gluten-free diets carry risks, are socially restricting and are costlier than regular diets.

 

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  • 1 University of Newcastle, Newcastle, NSW
  • 2 Medical Journal of Australia, Sydney, NSW



Competing interests:

Nicholas Talley is Editor-in-Chief of the Medical Journal of Australia.

  • 1. Schuppan D, Dennis MD, Kelly CP. Celiac disease: epidemiology, pathogenesis, diagnosis, and nutritional management. Nutr Clin Care 2005; 8: 54-69.
  • 2. Biesiekierski JR. What is gluten? J Gastroenterol Hepatol 2017; 32 Suppl 1: 78-81.
  • 3. Shewry PR, Halford NG, Belton PS, Tatham AS. The structure and properties of gluten: an elastic protein from wheat grain. Philos Trans R Soc Lond B Biol Sci 2002; 357: 133-142.
  • 4. Fasano A, Catassi C. Clinical practice. Celiac disease. N Engl J Med 2012; 367: 2419-2426.
  • 5. Walker MM, Ludvigsson JF, Sanders DS. Coeliac disease: review of diagnosis and management. Med J Aust 2017; 207: 173-178.
  • 6. Anderson RP, Henry MJ, Taylor R, et al. A novel serogenetic approach determines the community prevalence of celiac disease and informs improved diagnostic pathways. BMC Med 2013; 11: 188.
  • 7. Cabrera-Chavez F, Dezar GV, Islas-Zamorano AP, et al. Prevalence of self-reported gluten sensitivity and adherence to a gluten-free diet in Argentinian adult population. Nutrients 2017; 9: 81.
  • 8. Spence D. Bad medicine: food intolerance. BMJ 2013; 346: f529.
  • 9. Golley S, Corsini N, Topping D, et al. Motivations for avoiding wheat consumption in Australia: results from a population survey. Public Health Nutr 2015; 18: 490-499.
  • 10. DiGiacomo DV, Tennyson CA, Green PH, Demmer RT. Prevalence of gluten-free diet adherence among individuals without celiac disease in the USA: results from the Continuous National Health and Nutrition Examination Survey 2009–2010. Scand J Gastroenterol 2013; 48: 921-925.
  • 11. Aziz I, Lewis NR, Hadjivassiliou M, et al. A UK study assessing the population prevalence of self-reported gluten sensitivity and referral characteristics to secondary care. Eur J Gastroenterol Hepatol 2014; 26: 33-39.
  • 12. van Gils T, Nijeboer P, IJssennagger CE, et al. Prevalence and characterization of self-reported gluten sensitivity in The Netherlands. Nutrients 2016; 8: E714.
  • 13. Cabrera-Chavez F, Granda-Restrepo DM, Aramburo-Galvez JG, et al. Self-reported prevalence of gluten-related disorders and adherence to gluten-free diet in Colombian adult population. Gastroenterol Res Pract 2016; 2016: 4704309.
  • 14. Ontiveros N, López-Gallardo J, Vergara-Jiménez M, Cabrera-Chávez F. Self-reported prevalence of symptomatic adverse reactions to gluten and adherence to gluten-free diet in an adult Mexican population. Nutrients 2015; 7: 6000-6015.
  • 15. Volta U, Caio G, Karunaratne TB, et al. Non-coeliac gluten/wheat sensitivity: advances in knowledge and relevant questions. Expert Rev Gastroenterol Hepatol 2017; 11: 9-18.
  • 16. Nanayakkara WS, Skidmore PM, O’Brien L, et al. Efficacy of the low FODMAP diet for treating irritable bowel syndrome: the evidence to date. Clin Exp Gastroenterol 2016; 9: 131-142.
  • 17. Staudacher HM, Irving PM, Lomer MC, Whelan K. Mechanisms and efficacy of dietary FODMAP restriction in IBS. Nat Rev Gastroenterol Hepatol 2014; 11: 256-266.
  • 18. Biesiekierski JR, Peters SL, Newnham ED, et alNo effects of gluten in patients with self-reported non-celiac gluten sensitivity after dietary reduction of fermentable, poorly absorbed, short-chain carbohydrates. Gastroenterology 2013; 145: 320-328.e1-e3.
  • 19. Junker Y, Zeissig S, Kim SJ, et al. Wheat amylase trypsin inhibitors drive intestinal inflammation via activation of toll-like receptor 4. J Exp Med 2012; 209: 2395-2408.
  • 20. Dalla Pellegrina C, Perbellini O, Scupoli MT, et al. Effects of wheat germ agglutinin on human gastrointestinal epithelium: insights from an experimental model of immune/epithelial cell interaction. Toxicol Appl Pharmacol 2009; 237: 146-153.
  • 21. Catassi C, Elli L, Bonaz B, et al. Diagnosis of non-celiac gluten sensitivity (NCGS): the Salerno experts’ criteria. Nutrients 2015; 7: 4966-4977.
  • 22. Molina-Infante J, Carroccio A. Suspected nonceliac gluten sensitivity confirmed in few patients after gluten challenge in double-blind, placebo-controlled trials. Clin Gastroenterol Hepatol 2017; 15: 339-348.
  • 23. Gibson PR, Skodje GI, Lundin KE. Non-coeliac gluten sensitivity. J Gastroenterol Hepatol 2017; 32 Suppl 1: 86-89.
  • 24. Husby S, Murray JA. Gluten sensitivity: celiac lite versus celiac like. J Pediatr 2014; 164: 436-438.
  • 25. Volta U, Bardella MT, Calabro A, et al. Study Group for Non-Celiac Gluten Sensitivity. An Italian prospective multicenter survey on patients suspected of having non-celiac gluten sensitivity. BMC Med 2014; 12: 85.
  • 26. Elli L, Tomba C, Branchi F, et al. Evidence for the presence of non-celiac gluten sensitivity in patients with functional gastrointestinal symptoms: results from a multicenter randomized double-blind placebo-controlled gluten challenge. Nutrients 2016; 8: 84.
  • 27. Carroccio A, Mansueto P, Iacono G, et al. Non-celiac wheat sensitivity diagnosed by double-blind placebo-controlled challenge: exploring a new clinical entity. Am J Gastroenterol 2012; 107: 1898-1906; quiz 907.
  • 28. Carroccio A, Soresi M, D’Alcamo A, et al. Risk of low bone mineral density and low body mass index in patients with non-celiac wheat-sensitivity: a prospective observation study. BMC Med 2014; 12: 230.
  • 29. Carroccio A, D’Alcamo A, Cavataio F, et al. High proportions of people with nonceliac wheat sensitivity have autoimmune disease or antinuclear antibodies. Gastroenterology 2015; 149: 596-603.e1.
  • 30. Ford AC, Talley NJ, Walker MM, Jones MP. Increased prevalence of autoimmune diseases in functional gastrointestinal disorders: case-control study of 23471 primary care patients. Aliment Pharmacol Ther 2014; 40: 827-834.
  • 31. Hollon J, Puppa EL, Greenwald B, et al.Effect of gliadin on permeability of intestinal biopsy explants from celiac disease patients and patients with non-celiac gluten sensitivity. Nutrients 2015; 7: 1565-1576.
  • 32. Uhde M, Ajamian M, Caio G, et al. Intestinal cell damage and systemic immune activation in individuals reporting sensitivity to wheat in the absence of coeliac disease. Gut 2016; 65: 1930-1937.
  • 33. Sapone A, Lammers KM, Casolaro V, et al. Divergence of gut permeability and mucosal immune gene expression in two gluten-associated conditions: celiac disease and gluten sensitivity. BMC Med 2011; 9: 23.
  • 34. Brottveit M, Beitnes AC, Tollefsen S, et al. Mucosal cytokine response after short-term gluten challenge in celiac disease and non-celiac gluten sensitivity. Am J Gastroenterol 2013; 108: 842-850.
  • 35. Nylund L, Kaukinen K, Lindfors K. The microbiota as a component of the celiac disease and non-celiac gluten sensitivity. Clinical Nutrition Experimental 2016; 6: 17-24.
  • 36. Talley NJ, Walker MM, Aro P, et al. Non-ulcer dyspepsia and duodenal eosinophilia: an adult endoscopic population-based case-control study. Clin Gastroenterol Hepatol 2007; 5: 1175-1183.
  • 37. Di Liberto D, Mansueto P, D’Alcamo A, et al. Predominance of type 1 innate lymphoid cells in the rectal mucosa of patients with non-celiac wheat sensitivity: reversal after a wheat-free diet. Clin Transl Gastroenterol 2016; 7: e178.
  • 38. Biesiekierski JR, Newnham ED, Irving PM, et al. Gluten causes gastrointestinal symptoms in subjects without celiac disease: a double-blind randomized placebo-controlled trial. Am J Gastroenterol 2011; 106: 508-514; quiz 15.
  • 39. Volta U, Tovoli F, Cicola R, et al. Serological tests in gluten sensitivity (nonceliac gluten intolerance). J Clin Gastroenterol 2012; 46: 680-685.
  • 40. Troncone R, Ferguson A. Anti-gliadin antibodies. J Pediatr Gastroenterol Nutr 1991; 12: 150-158.
  • 41. Molina-Infante J, Santolaria S, Sanders DS, Fernandez-Banares F. Systematic review: noncoeliac gluten sensitivity. Aliment Pharmacol Ther 2015; 41: 807-820.
  • 42. Talley NJ, Walker MM. Celiac disease and nonceliac gluten or wheat sensitivity: The risks and benefits of diagnosis. JAMA Intern Med 2017; 177: 615-616.
  • 43. Walker MM, Murray JA, Ronkainen J, et al. Detection of celiac disease and lymphocytic enteropathy by parallel serology and histopathology in a population-based study. Gastroenterology 2010; 139: 112-119.
  • 44. Brown I, Mino-Kenudson M, Deshpande V, Lauwers GY. Intraepithelial lymphocytosis in architecturally preserved proximal small intestinal mucosa: an increasing diagnostic problem with a wide differential diagnosis. Arch Pathol Lab Med 2006; 130: 1020-1025.
  • 45. Leffler D, Schuppan D, Pallav K, et al. Kinetics of the histological, serological and symptomatic responses to gluten challenge in adults with coeliac disease. Gut 2013; 62: 996-1004.
  • 46. Rubio-Tapia A, Hill ID, Kelly CP, et al. American College of Gastroenterology. ACG clinical guidelines: diagnosis and management of celiac disease. Am J Gastroenterol 2013; 108: 656-676; quiz 77.
  • 47. Ludvigsson JF, Bai JC, Biagi F, et al. Diagnosis and management of adult coeliac disease: guidelines from the British Society of Gastroenterology. Gut 2014; 63: 1210-1228.
  • 48. Rosinach M, Fernandez-Banares F, Carrasco A, et al. Double-blind randomized clinical trial: gluten versus placebo rechallenge in patients with lymphocytic enteritis and suspected celiac Ddisease. PLoS One 2016; 11: e0157879.
  • 49. Husby S, Koletzko S, Korponay-Szabo IR, et al. European Society for Pediatric Gastroenterology, Hepatology, and Nutrition guidelines for the diagnosis of coeliac disease. J Pediatr Gastroenterol Nutr 2012; 54: 136-160.
  • 50. Ludvigsson JF, Leffler DA, Bai JC, et al. The Oslo definitions for coeliac disease and related terms. Gut 2013; 62: 43-52.
  • 51. Lambert K, Ficken C. Cost and affordability of a nutritionally balanced gluten-free diet: Is following a gluten-free diet affordable? Nutr Diet 2016; 73: 36-42.
  • 52. Hallert C, Grant C, Grehn S, et al. Evidence of poor vitamin status in coeliac patients on a gluten-free diet for 10 years. Aliment Pharmacol Ther 2002; 16: 1333-1339.
  • 53. Theethira TG, Dennis M, Leffler DA. Nutritional consequences of celiac disease and the gluten-free diet. Expert Rev Gastroenterol Hepatol 2014; 8: 123-129.
  • 54. Vici G, Belli L, Biondi M, Polzonetti V. Gluten free diet and nutrient deficiencies: a review. Clin Nutr 2016; 35: 1236-1241.
  • 55. Missbach B, Schwingshackl L, Billmann A, et al. Gluten-free food database: the nutritional quality and cost of packaged gluten-free foods. PeerJ 2015; 3: e1337.
  • 56. Miranda J, Lasa A, Bustamante MA, et al. Nutritional differences between a gluten-free diet and a diet containing equivalent products with gluten. Plant Foods Hum Nutr 2014; 69: 182-187.
  • 57. Zanini B, Mazzoncini E, Lanzarotto F, et al. Impact of gluten-free diet on cardiovascular risk factors. A retrospective analysis in a large cohort of coeliac patients. Dig Liver Dis 2013; 45: 810-815.
  • 58. Tortora R, Capone P, De Stefano G, et al. Metabolic syndrome in patients with coeliac disease on a gluten-free diet. Aliment Pharmacol Ther 2015; 41: 352-359.
  • 59. Berti C, Riso P, Monti LD, Porrini M. In vitro starch digestibility and in vivo glucose response of gluten-free foods and their gluten counterparts. Eur J Nutr 2004; 43: 198-204.
  • 60. Capristo E, Malandrino N, Farnetti S, et al. Increased serum high-density lipoprotein-cholesterol concentration in celiac disease after gluten-free diet treatment correlates with body fat stores. J Clin Gastroenterol 2009; 43: 946-949.
  • 61. Bulka CM, Davis MA, Karagas MR, et al. The unintended consequences of a gluten-free diet. Epidemiology 2017; 28: e24-e25.
  • 62. Munera-Picazo S, Ramirez-Gandolfo A, Burlo F, Carbonell-Barrachina AA. Inorganic and total arsenic contents in rice-based foods for children with celiac disease. J Food Sci 2014; 79: T122-T128.
  • 63. Bonder MJ, Tigchelaar EF, Cai X, et al. The influence of a short-term gluten-free diet on the human gut microbiome. Genome Med 2016; 8: 45.
  • 64. Sanz Y. Effects of a gluten-free diet on gut microbiota and immune function in healthy adult humans. Gut Microbes 2010; 1: 135-137.
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Testing for type 2 diabetes in Indigenous Australians: guideline recommendations and current practice

Christine L Paul, Paul Ishiguchi, Catherine A D'Este, Jonathan E Shaw, Rob W Sanson-Fisher, Kristy Forshaw, Alessandra Bisquera, Jennifer Robinson, Claudia Koller and Sandra J Eades
Med J Aust 2017; 207 (5): . || doi: 10.5694/mja16.00769
Published online: 4 September 2017

Abstract

Objectives: To determine the proportion of Aboriginal Controlled Community Health Service (ACCHS) patients tested according to three national diabetes testing guidelines; to investigate whether specific patient characteristics were associated with being tested.

Design, setting and participants: Cross-sectional study of 20 978 adult Indigenous Australians not diagnosed with diabetes attending 18 ACCHSs across Australia. De-identified electronic whole service data for July 2010 – June 2013 were analysed.

Main outcomes measures: Proportions of patients appropriately screened for diabetes according to three national guidelines for Indigenous Australians: National Health and Medical Research Council (at least once every 3 years for those aged 35 years or more); Royal Australian College of General Practitioners and Diabetes Australia (at least once every 3 years for those aged 18 years or more); National Aboriginal Community Controlled Health Organisation (annual testing of those aged 18 years or more at high risk of diabetes).

Results: 74% (95% CI, 74–75%) of Indigenous adults and 77% (95% CI, 76–78%) of 10 760 patients aged 35 or more had been tested for diabetes at least once in the past 3 years. The proportions of patients tested varied between services (range: all adults, 16–90%; people aged 35 years or more, 23–92%). 18% (95% CI, 18–19%) of patients aged 18 or more were tested for diabetes annually (range, 0.1–43%). Patients were less likely to be tested if they were under 50 years of age, were transient rather than current patients of the ACCHS, or attended the service less frequently.

Conclusions: Some services achieved high rates of 3-yearly testing of Indigenous Australians for diabetes, but recommended rates of annual testing were rarely attained. ACCHSs may need assistance to achieve desirable levels of testing.

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  • 1 University of Newcastle, Newcastle, NSW
  • 2 Priority Research Centre for Health Behaviour, University of Newcastle, Newcastle, NSW
  • 3 Hunter Medical Research Institute, Newcastle, NSW
  • 4 Baker IDI Heart and Diabetes Institute, Melbourne, VIC
  • 5 National Centre for Epidemiology and Population Health, Australian National University, Canberra, ACT


Correspondence: chris.paul@newcastle.edu.au

Acknowledgements: 

The authors gratefully acknowledge the generous support of the staff and patients from the following Aboriginal Community Controlled Health Services (in alphabetical order): Anyinginyi Health Aboriginal Corporation, Bega Garnbirringu Aboriginal Health Service, Danila Dilba Biluru Butji Binnilutum Health Service, Derbarl Yerrigan Health Service, Dhauwurd-Wurrung Elderly and Community Health Service, Kirrae Aboriginal Health Service, Mawarnkarra Health Service, Mildura Aboriginal Corporation, Mitwatj Health Aboriginal Corporation, Pika Wiya Health Service, Riverina Medical and Dental Aboriginal Corporation, South West Aboriginal Medical Service, Sunrise Health Service Aboriginal Corporation, Umoona Tjutagku Health Service, Winnunga Nimmityajah Aboriginal Health Service, Ampilatwatja Health Centre Aboriginal Corporation, Pius X Aboriginal Corporation, and Victorian Aboriginal Health Service.

Competing interests:

No relevant disclosures.

  • 1. Australian Institute of Health and Welfare. Diabetes and disability: impairments, activity limitations, participation restrictions and comorbidities (AIHW Cat. No. CVD 63; Diabetes Series No. 20). Canberra: AIHW, 2013.
  • 2. Public Health Agency of Canada. Diabetes in Canada: facts and figures from a public health perspective. Ottawa: Chronic Disease Surveillance and Monitoring Division, 2011. http://www.phac-aspc.gc.ca/cd-mc/publications/diabetes-diabete/facts-figures-faits-chiffres-2011/index-eng.php (accessed June 2017).
  • 3. Centers for Disease Control and Prevention. 2014 National diabetes statistics report. Atlanta: US Department of Health and Human Services, 2014. https://www.cdc.gov/diabetes/data/statistics/2014statisticsreport.html (accessed June 2017).
  • 4. Holman N, Young B, Gadsby R. Current prevalence of type 1 and type 2 diabetes in adults and children in the UK. Diabet Med 2015; 32: 1190-1120.
  • 5. Zimmet P, Alberti K, Shaw J. Global and societal implications of the diabetes epidemic. Nature 2001; 414: 782-787.
  • 6. Young TK, Reading J, Elias B. Type 2 diabetes mellitus in Canada’s First Nations: status of an epidemic in progress. CMAJ 2000; 163: 561-566.
  • 7. Acton KJ, Ríos Burrows N, Moore K, et al. Trends in diabetes prevalence among American Indian and Alaska native children, adolescents, and young adults. Am J Public Health 2002; 92: 1485-1490.
  • 8. Australian Institute of Health and Welfare. National key performance indicators for Aboriginal and Torres Strait Islander primary health care: results from December 2013 (AIHW Cat. No. IHW 146). Canberra: AIHW, 2014.
  • 9. Australian Bureau of Statistics. 4727.0.55.003. Australian Aboriginal and Torres Strait Islander health survey: biomedical results, 2012–13. Sept 2014. http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/4727.0.55.0032012-13?OpenDocument (accessed June 2017).
  • 10. Australian Bureau of Statistics. 4364.0.55.001. National Health Survey: first results, 2014–15. Dec 2015. http://www.abs.gov.au/ausstats/abs@.nsf/mf/4364.0.55.001 (accessed June 2017).
  • 11. Dunstan DW, Zimmet PZ, Welborn TA, et al. The rising prevalence of diabetes and impaired glucose tolerance: the Australian Diabetes, Obesity and Lifestyle study. Diabetes Care 2002; 25: 829-834.
  • 12. O’Dea K, Cunningham J, Maple-Brown L, et al. Diabetes and cardiovascular risk factors in urban Indigenous adults: results from the DRUID study. Diabetes Res Clin Pract 2008; 80: 483-489.
  • 13. Engelgau MM, Narayan K, Herman WH. Screening for type 2 diabetes. Diabetes Care 2000; 23: 1563-1580.
  • 14. Waugh N, Scotland G, McNamee P, et al. Screening for type 2 diabetes: literature review and economic modelling. Health Technol Assess 2007; 11: iii-iv, ix-xi, 1-125.
  • 15. Colagiuri S, Davies D, Girgis S, Colagiuri R. National evidence based guideline for case detection and diagnosis of type 2 diabetes. Canberra: Diabetes Australia, NHMRC, 2009. https://www.nhmrc.gov.au/_files_nhmrc/file/publications/synopses/di17-diabetes-detection-diagnosis.pdf (accessed July 2017).
  • 16. Bell K, Couzos S, Daniels J, et al. Aboriginal community controlled health services. In: Department of Health and Aged Care. General practice in Australia, 2000. Canberra: General Practice Branch, Health Services Division, Department of Health and Aged Care, 2000; pp. 74-103.
  • 17. Diabetes Australia Guideline Development Consortium. National evidence based guidelines for the management of type 2 diabetes mellitus. Canberra: NHMRC, 2004. https://www.nhmrc.gov.au/guidelines-publications/di7-di8-di9-di10-di11-di12-di13 (accessed June 2017).
  • 18. Royal Australian College of General Practitioners, Diabetes Australia. General practice management of type 2 diabetes — 2014–15. Melbourne: RACGP/DA, 2014. https://www.clinicalguidelines.gov.au/portal/2390/general-practice-management-type-2-diabetes-2014-15 (accessed June 2017).
  • 19. Coleman J. Type 2 diabetes prevention and early detection. In: NACCHO/RACGP. National guide to a preventive health assessment for Aboriginal and Torres Strait Islander people. 2nd edition. Melbourne: RACGP, 2012; pp. 229-238. http://www.racgp.org.au/your-practice/guidelines/national-guide/type-2-diabetes-prevention-and-early-detection/ (accessed June 2017).
  • 20. Australian Institute of Health and Welfare. Indigenous health check (MBS 715) data tool. http://www.aihw.gov.au/indigenous-australians/indigenous-health-check-data-tool/ (accessed Dec 2016).
  • 21. Australian Bureau of Statistics. 4727.0.55.001. Australian Aboriginal and Torres Strait islander health survey: first results, Australia (2012–2013). Nov 2013. http://www.abs.gov.au/ausstats/abs@.nsf/mf/4727.0.55.001 (accessed July 2015).
  • 22. Bloomgarden ZT. Type 2 diabetes in the young: the evolving epidemic. Diabetes Care 2004; 27: 998-1010.
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Implementing change: evaluating the Accelerated Chest pain Risk Evaluation (ACRE) project

William A Parsonage, Tanya Milburn, Sarah Ashover, Wade Skoien, Jaimi H Greenslade, Louise McCormack and Louise Cullen
Med J Aust 2017; 207 (5): . || doi: 10.5694/mja16.01479
Published online: 4 September 2017

Abstract

Objective: To evaluate hospital length of stay (LOS) and admission rates before and after implementation of an evidence-based, accelerated diagnostic protocol (ADP) for patients presenting to emergency departments (EDs) with chest pain.

Design: Quasi-experimental design, with interrupted time series analysis for the period October 2013 – November 2015.

Setting, participants: Adults presenting with chest pain to EDs of 16 public hospitals in Queensland.

Intervention: Implementation of the ADP by structured clinical re-design.

Main outcome measures: Primary outcome: hospital LOS. Secondary outcomes: ED LOS, hospital admission rate, proportion of patients identified as being at low risk of an acute coronary syndrome (ACS).

Results: Outcomes were recorded for 30 769 patients presenting before and 23 699 presenting after implementation of the ADP. Following implementation, 21.3% of patients were identified by the ADP as being at low risk for an ACS. Following implementation of the ADP, mean hospital LOS fell from 57.7 to 47.3 hours (rate ratio [RR], 0.82; 95% CI, 0.74–0.91) and mean ED LOS for all patients presenting with chest pain fell from 292 to 256 minutes (RR, 0.80; 95% CI, 0.72–0.89). The hospital admission rate fell from 68.3% (95% CI, 59.3–78.5%) to 54.9% (95% CI, 44.7–67.6%; P < 0.01). The estimated release in financial capacity amounted to $2.3 million as the result of reduced ED LOS and $11.2 million through fewer hospital admissions.

Conclusions: Implementing an evidence-based ADP for assessing patients with chest pain was feasible across a range of hospital types, and achieved a substantial release of health service capacity through reductions in hospital admissions and ED LOS.

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  • 1 Royal Brisbane and Women's Hospital, Brisbane, QLD
  • 2 Queensland University of Technology, Brisbane, QLD
  • 3 The University of Queensland, Brisbane, QLD


Correspondence: w.parsonage@mac.com

Acknowledgements: 

The ACRE Project was funded by the Queensland Government Department of Health. We acknowledge the support of the Healthcare Improvement Unit, Queensland Department of Health. We thank the Queensland Research Linkage Group of the Department of Health for assistance with linking data from the emergency department and inpatient datasets. We also gratefully acknowledge the contributions of former project officers Jennifer Bilesky, Jo Sippel and Vandana Bettens in the early development of the project, and the staff of the participating hospitals.

Competing interests:

No relevant disclosures.

  • 1. Australian Institute of Health and Welfare. Emergency department care 2015–16: Australian hospital statistics (AIHW Cat. No. HSE 182; Health Services Series No. 72). Canberra: AIHW, 2016.
  • 2. Cullen L, Greenslade J, Hammett CJ, et al. Comparison of three risk stratification rules for predicting patients with acute coronary syndrome presenting to an Australian emergency department. Heart Lung Circ 2013; 22: 844-851.
  • 3. Aroney CN, Aylward P, Kelly A, et al. Guidelines for the management of acute coronary syndromes. Med J Aust 2006; 184 (8 Suppl): S1-S29. <MJA full text>
  • 4. Cullen L, Greenslade J, Merollini K, et al. Cost and outcomes of assessing patients with chest pain in an Australian emergency department. Med J Aust 2015; 202: 427-432. <MJA full text>
  • 5. Than M, Cullen L, Aldous S, et al. A 2-hour accelerated diagnostic protocol to assess patients with chest pain symptoms using contemporary troponins as the only biomarker (ADAPT). J Am Coll Cardiol 2012; 59: 2091-2098.
  • 6. George T, Ashover S, Cullen L, et al. Introduction of an accelerated diagnostic protocol in the assessment of emergency department patients with possible acute coronary syndrome: the Nambour Short Low-Intermediate Chest pain project. Emerg Med Australas 2013; 25: 340-344.
  • 7. Mahler SA, Miller CD, Litt HI, et al. Performance of the 2-hour accelerated diagnostic protocol within the American College of Radiology Imaging Network PA 4005 cohort. Acad Emerg Med 2015; 22: 452-460.
  • 8. Than M, Pickering J, Aldous S, et al. Effectiveness of EDACS versus ADAPT accelerated diagnostic pathways for chest pain: a pragmatic randomized controlled trial embedded within practice. Ann Emerg Med 2016; 68: 93-102.
  • 9. Skoien W, Page K, Parsonage W, et al. Use of the theoretical domains framework to evaluate factors driving successful implementation of the Accelerated Chest pain Risk Evaluation (ACRE) project. Implement Sci 2016; 11: 136.
  • 10. Mahler SA, Riley RF, Hiestand BC, et al. The HEART Pathway randomized trial: identifying emergency department patients with acute chest pain for early discharge. Circ Cardiovasc Qual Outcomes 2015; 8: 195-203.
  • 11. Mahler SA, Miller CD, Litt HI, et al. Performance of the 2-hour Accelerated Diagnostic Protocol within the American College of Radiology Imaging Network PA 4005 cohort. Acad Emerg Med 2015; 22: 452-460.
  • 12. Morris ZS, Wooding S, Grant J. The answer is 17 years, what is the question: understanding time lags in translational research. J R Soc Med 2011; 104: 510-520.
  • 13. Chew DP, Scott IA, Cullen L, et al. National Heart Foundation of Australia and Cardiac Society of Australia and New Zealand: Australian clinical guidelines for the management of acute coronary syndromes 2016. Med J Aust 2016; 205: 128-133. <MJA full text>
  • 14. Fanaroff AC, Schulteis RD, Pieper KS, et al. Simplified predictive instrument to rule out acute coronary syndromes in a high-risk population. J Am Heart Assoc 2015; 4: e002351.
  • 15. Roffi M, Patrono C, Collet JP, et al. Task Force for the Management of Acute Coronary Syndromes in Patients Presenting without Persistent ST-Segment Elevation of the European Society of Cardiology (ESC). 2015 ESC guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation. Eur Heart J 2016; 37: 267-315.
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Statistical and clinical significance

Ian A Scott
Med J Aust 2017; 207 (5): . || doi: 10.5694/mja16.01148
Published online: 4 September 2017

In published research, a statistically significant result is often wrongly interpreted as representing a clinically important finding. In this article, we explore the meanings of statistical and clinical significance.


  • 1 Princess Alexandra Hospital, Brisbane, QLD
  • 2 University of Queensland, Brisbane, QLD


Correspondence: ian.scott@health.qld.gov.au

Competing interests:

No relevant disclosures.

  • 1. Jones MP, Beath A, Oldmeadow C, Attia JR. Understanding statistical hypothesis tests and power. Med J Aust 2017; 207: 148-150. <MJA full text>
  • 2. Akobeng AK. Understanding type I and type II errors, statistical power and sample size. Acta Paediatr 2016; 105: 605-609.
  • 3. Furukawa TA, Scott IA, Guyatt G. Chapter 12.5: Measuring patients’ experience. In: Guyatt G, Rennie D, Meade MO, Cook DJ, editors. Users’ guides to the medical literature. A manual for evidence-based practice. 3rd ed. Boston: JAMA Press, 2015: pp. 219-234.
  • 4. Pocock SJ, Ware JH. Translating statistical findings into plain English. Lancet 2009; 373: 1926-1928.
  • 5. Gardner MJ, Altman DG. Confidence intervals rather than P values: estimation rather than hypothesis testing. BMJ 1986; 292: 746-750.
  • 6. Pocock SJ, Stone GW. The primary outcome is positive – is that good enough? N Engl J Med 2016; 375: 971-979.
  • 7. Pocock J, Stone GW. The primary outcome fails – what next? N Engl J Med 2016; 375: 861-870.
  • 8. Montori VM, Devereaux PJ, Adhikari NK, et al. Randomized trials stopped early for benefit: a systematic review. JAMA 2005; 294: 2203-2209.
  • 9. Mulla SM, Scott IA, Jackevicius CA, et al. User’s guide to the medical literature. How to use a non-inferiority trial. JAMA 2012; 308: 2605-2611.
  • 10. Seruga B, Templeton AJ, Badillo FE, et al. Under-reporting of harm in clinical trials. Lancet Oncol 2016; 17: e209-e219.
  • 11. Liao JM, Stack CB, Griswold ME, Localio AR. Understanding clinical research: intention to treat analysis. Ann Intern Med 2017; 166: 662-664.
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Improving the safety of breast implants: implant-associated lymphoma

Ingrid Hopper, Susannah Ahern, John J McNeil, Anand K Deva, Elisabeth Elder, Colin Moore and Rodney Cooter
Med J Aust 2017; 207 (5): . || doi: 10.5694/mja17.00005
Published online: 28 August 2017

A likely causal link between breast implants and lymphoma highlights the importance of a prospective registry

Breast devices, including implants and tissue expanders, are classified as class III (high risk) medical devices by the Therapeutic Goods Administration, and are subject to the highest level of regulatory control. They have been associated with highly publicised health scares in the past, particularly, the Poly Implant Prothèse crisis.1 More recently, breast implants have again created national concern, with the Therapeutic Goods Administration confirming in late 2016 that there were 46 reports of breast implant-associated anaplastic large cell lymphoma (BIA-ALCL) in Australia, including three cases that resulted in death. This number has since increased to 53.2 Most breast implants are used in young women and in women who have had breast cancer, thus long term exposure to these devices can be anticipated. It is therefore imperative to identify serious adverse effects at the earliest opportunity. The Australian Breast Device Registry is ideally positioned to do this, but it requires sufficient resources and engagement to ensure that it remains fit for purpose.


  • 1 Monash University, Melbourne, VIC
  • 2 University of Melbourne, Melbourne, VIC
  • 3 Macquarie University, Sydney, NSW
  • 4 Integrated Specialist Healthcare, Sydney, NSW
  • 5 Westmead Breast Cancer Institute, Sydney, NSW
  • 6 Breast Surgeons of Australia and New Zealand, Sydney, NSW
  • 7 Australasian College of Cosmetic Surgery, Sydney, NSW
  • 8 Australasian Foundation for Plastic Surgery, Sydney, NSW


Correspondence: Ingrid.Hopper@monash.edu

Acknowledgements: 

The Department of Health provides funding for the Australian Breast Device Registry. Ingrid Hopper is supported by a National Health and Medical Research Council early career fellowship.

Competing interests:

No relevant disclosures.

  • 1. Jeeves AE, Cooter RD. Transforming Australia’s Breast Implant Registry. Med J Aust 2012; 196: 232-234. <MJA full text>
  • 2. Therapeutic Goods Administration. Breast implants and anaplastic large cell lymphoma. https://www.tga.gov.au/alert/breast-implants (accessed July 2017).
  • 3. Brody GS, Deapen D, Taylor CR, et al. Anaplastic large cell lymphoma occurring in women with breast implants: analysis of 173 cases. Plast Reconstr Surg 2015; 135: 695-705.
  • 4. Prince HM, Johnstone R. Commentary on: biomarkers provide clues to early events in the pathogenesis of breast implant-associated anaplastic large cell lymphoma. Aesthet Surg J 2016; 36: 782-783.
  • 5. Loch-Wilkison A, Beath K, Knight RJW, et al. Breast implant associated anaplastic large cell lymphoma in Australia and New Zealand – high surface area textured implants are associated with increased risk. Plast Reconstr Surg 2017; doi: 10.1097/PRS.0000000000003654 [Epub ahead of print].
  • 6. Collis N, Coleman D, Foo IT, Sharpe DT. Ten-year review of a prospective randomized controlled trial of textured versus smooth subglandular silicone gel breast implants. Plast Reconstr Surg 2000; 106: 786-791.
  • 7. Jacombs A, Tahir S, Hu H, et al. In vitro and in vivo investigation of the influence of implant surface on the formation of bacterial biofilm in mammary implants. Plast Reconstr Surg 2014; 133: 471e-480e.
  • 8. Hu H, Jacombs A, Vickery K, et al. Chronic biofilm infection in breast implants is associated with an increased T-cell lymphocytic infiltrate: implications for breast implant-associated lymphoma. Plast Reconstr Surg 2015; 135: 319-329.
  • 9. Blombery P, Thompson ER, Jones K, et al. Whole exome sequencing reveals activating JAK1 and STAT3 mutations in breast-implant associated anaplastic large cell lymphoma. Haematologica 2016; 10: e387-e390.
  • 10. Hopper I, Ahern S, Best RL, et al. Australian Breast Device Registry: breast device safety transformed. ANZ J Surg 2017; 87: 9-10.
  • 11. Deva AK, Adams WP, Vickery K. The role of bacterial biofilms in device-associated infection. Plast Reconstr Surg 2013; 132: 1319-1328.
  • 12. de Steiger RN, Hang JR, Miller LN, et al. Five-year results of the ASR XL Acetabular System and the ASR Hip Resurfacing System: an analysis from the Australian Orthopaedic Association National Joint Replacement Registry. J Bone Joint Surg Am 2011; 93: 2287-2293.
  • 13. van der Veer SN, de Keizer NF, Ravelli AC, et al. Improving quality of care. A systematic review on how medical registries provide information feedback to health care providers. Int J Med Inform 2010; 79: 305-323.
  • 14. Sedrakyan A, Campbell B, Graves S, Cronenwett JL. Surgical registries for advancing quality and device surveillance. Lancet 2016; 388: 1358-1360.
  • 15. Cooter RD, Barker S, Carroll SM, et al. International importance of robust breast device registries. Plast Reconstr Surg 2015; 135: 330-336.
Online responses are no longer available. Please refer to our instructions for authors page for more information.

Coeliac disease: review of diagnosis and management

Marjorie M Walker, Jonas F Ludvigsson and David S Sanders
Med J Aust 2017; 207 (4): . || doi: 10.5694/mja16.00788
Published online: 21 August 2017

Summary

 

  • Coeliac disease is an immune-mediated systemic disease triggered by exposure to gluten, and manifested by small intestinal enteropathy and gastrointestinal and extra-intestinal symptoms. Recent guidelines recommend a concerted use of clear definitions of the disease.
  • In Australia, the most recent estimated prevalence is 1.2% in adult men (1:86) and 1.9% in adult women (1:52). Active case finding is appropriate to diagnose coeliac disease in high risk groups. Diagnosis of coeliac disease is important to prevent nutritional deficiency and long term risk of gastrointestinal malignancy.
  • The diagnosis of coeliac disease depends on clinico-pathological correlation: history, presence of antitransglutaminase antibodies, and characteristic histological features on duodenal biopsy (when the patient is on a gluten-containing diet). Human leucocyte antigen class II haplotypes DQ2 or DQ8 are found in nearly all patients with coeliac disease, but are highly prevalent in the general population at large (56% in Australia) and testing can only exclude coeliac disease for individuals with non-permissive haplotypes.
  • Adhering to a gluten free diet allows duodenal mucosal healing and alleviates symptoms. Patients should be followed up with a yearly review of dietary adherence and a health check.
  • Non-coeliac gluten or wheat protein sensitivity is a syndrome characterised by both gastrointestinal and extra-intestinal symptoms related to the ingestion of gluten and possibly other wheat proteins in people who do not have coeliac disease or wheat allergy recognised by diagnostic tests.

 


  • 1 University of Newcastle, Newcastle, NSW
  • 2 Karolinksa Institutet, Stockholm, Sweden
  • 3 Royal Hallamshire Hospital, Sheffield, United Kingdom



Competing interests:

No relevant disclosures.

  • 1. Ludvigsson JF, Leffler DA, Bai JC, et al. The Oslo definitions for coeliac disease and related terms. Gut 2013; 62: 43-52.
  • 2. Marsh MN. Gluten, major histocompatibility complex, and the small intestine. A molecular and immunobiologic approach to the spectrum of gluten sensitivity (‘celiac sprue’). Gastroenterology 1992; 102: 330-354.
  • 3. Husby S, Koletzko S, Korponay-Szabo IR, et al. European Society for Pediatric Gastroenterology, Hepatology, and Nutrition guidelines for the diagnosis of coeliac disease. J Pediatr Gastroenterol Nutr 2012; 54: 136-160.
  • 4. Rubio-Tapia A, Hill ID, Kelly CP, et al. ACG clinical guidelines: diagnosis and management of celiac disease. Am J Gastroenterol 2013; 108: 656-676.
  • 5. Bai JC, Fried M, Corazza GR, et al. World Gastroenterology Organisation global guidelines on celiac disease. J Clin Gastroenterol 2013; 47: 121-126.
  • 6. Ludvigsson JF, Bai JC, Biagi F, et al. Diagnosis and management of adult coeliac disease: guidelines from the British Society of Gastroenterology. Gut 2014; 63: 1210-1228.
  • 7. Makharia GK, Mulder CJ, Goh KL, et al. Issues associated with the emergence of coeliac disease in the Asia-Pacific region: a working party report of the World Gastroenterology Organization and the Asian Pacific Association of Gastroenterology. J Gastroenterol Hepatol 2014; 29: 666-677.
  • 8. National Institute for Health and Clinical Excellence. Coeliac disease: recognition, assessment and management. London: NICE; 2015. https://www.nice.org.uk/guidance/ng20/resources/coeliac-disease-recognition-assessment-and-management-pdf-1837325178565 (accessed June 2017).
  • 9. Ludvigsson JF, Agreus L, Ciacci C, et al. Transition from childhood to adulthood in coeliac disease: the Prague consensus report. Gut 2016; 65: 1242-1251.
  • 10. Anderson RP, Henry MJ, Taylor R, et al. A novel serogenetic approach determines the community prevalence of celiac disease and informs improved diagnostic pathways. BMC Med 2013; 11: 188.
  • 11. Cook HB, Burt MJ, Collett JA, et al. Adult coeliac disease: prevalence and clinical significance. J Gastroenterol Hepatol 2000; 15: 1032-1036.
  • 12. Ludvigsson JF, Card TR, Kaukinen K, et al. Screening for celiac disease in the general population and in high-risk groups. United European Gastroenterol J 2015; 3: 106-120.
  • 13. Walker MM, Murray JA, Ronkainen J, et al. Detection of celiac disease and lymphocytic enteropathy by parallel serology and histopathology in a population-based study. Gastroenterology 2010; 139: 112-119.
  • 14. Mustalahti K, Catassi C, Reunanen A, et al. The prevalence of celiac disease in Europe: results of a centralized, international mass screening project. Ann Med 2010; 42: 587-595.
  • 15. Kang JY, Kang AH, Green A, et al. Systematic review: worldwide variation in the frequency of coeliac disease and changes over time. Aliment Pharmacol Ther 2013; 38: 226-245.
  • 16. Tortora R, Zingone F, Rispo A, et al. Coeliac disease in the elderly in a tertiary centre. Scand J Gastroenterol 2016; 51: 1179-1183.
  • 17. Anderson RP. Coeliac disease is on the rise. Med J Aust 2011; 194: 278-279. <MJA full text>
  • 18. Volta U, Caio G, Giancola F, et al. Features and progression of potential celiac disease in adults. Clin Gastroenterol Hepatol 2016; 14: 686-693.e1.
  • 19. Singh P, Arora S, Lal S, et al. Risk of celiac disease in the first- and second-degree relatives of patients with celiac disease: a systematic review and meta-analysis. Am J Gastroenterol 2015; 110: 1539-1548.
  • 20. Costa Gomes R, Cerqueira Maia J, Fernando Arrais R, et al. The celiac iceberg: from the clinical spectrum to serology and histopathology in children and adolescents with type 1 diabetes mellitus and Down syndrome. Scand J Gastroenterol 2016; 51: 178-185.
  • 21. Tio M, Cox MR, Eslick GD. Meta-analysis: coeliac disease and the risk of all-cause mortality, any malignancy and lymphoid malignancy. Aliment Pharmacol Ther 2012; 35: 540-551.
  • 22. Leffler D, Vanga R, Mukherjee R. Mild enteropathy celiac disease: a wolf in sheep’s clothing? Clin Gastroenterol Hepatol 2013; 11: 259-261.
  • 23. West J, Logan RF, Card TR, et al. Fracture risk in people with celiac disease: a population-based cohort study. Gastroenterology 2003; 125: 429-436.
  • 24. Ludvigsson JF, Michaelsson K, Ekbom A, Montgomery SM. Coeliac disease and the risk of fractures - a general population-based cohort study. Aliment Pharmacol Ther 2007; 25: 273-285.
  • 25. Eigner W, Bashir K, Primas C, et al. Dynamics of occurrence of refractory coeliac disease and associated complications over 25 years. Aliment Pharmacol Ther 2017; 45: 364-372.
  • 26. Szajewska H, Shamir R, Mearin L, et al. Gluten introduction and the risk of coeliac disease: a position paper by the European Society for Pediatric Gastroenterology, Hepatology, and Nutrition. J Pediatr Gastroenterol Nutr 2016; 62: 507-513.
  • 27. Lebwohl B, Murray JA, Verdu EF, et al. Gluten introduction, breastfeeding, and celiac disease: back to the drawing board. Am J Gastroenterol 2016; 111: 12-14.
  • 28. Abadie V, Sollid LM, Barreiro LB, Jabri B. Integration of genetic and immunological insights into a model of celiac disease pathogenesis. Annu Rev Immunol 2011; 29: 493-525.
  • 29. Tye-Din JA, Cameron DJ, Daveson AJ, et al. Appropriate clinical use of human leukocyte antigen typing for coeliac disease: an Australasian perspective. Intern Med J 2015; 45: 441-450.
  • 30. Oxentenko AS, Murray JA. Celiac disease: ten things that every gastroenterologist should know. Clin Gastroenterol Hepatol 2015; 13: 1396-1404; quiz e127-e129.
  • 31. Mooney PD, Kurien M, Evans KE, et al. Clinical and immunologic features of ultra-short celiac disease. Gastroenterology 2016; 150: 1125-1134.
  • 32. Oberhuber G. Histopathology of celiac disease. Biomed Pharmacother 2000; 54: 368-372.
  • 33. Corazza GR, Villanacci V, Zambelli C, et al. Comparison of the interobserver reproducibility with different histologic criteria used in celiac disease. Clin Gastroenterol Hepatol 2007; 5: 838-843.
  • 34. Aziz I, Evans KE, Hopper AD, et al. A prospective study into the aetiology of lymphocytic duodenosis. Aliment Pharmacol Ther 2010; 32: 1392-1397.
  • 35. Marietta EV, Nadeau AM, Cartee AK, et al. Immunopathogenesis of olmesartan-associated enteropathy. Aliment Pharmacol Ther 2015; 42: 1303-1314.
  • 36. Leffler D, Schuppan D, Pallav K, et al. Kinetics of the histological, serological and symptomatic responses to gluten challenge in adults with coeliac disease. Gut 2013; 62: 996-1004.
  • 37. La Vieille S, Pulido OM, Abbott M, et al. Celiac disease and gluten-free oats: a Canadian position based on a literature review. Can J Gastroenterol Hepatol 2016; 2016: 1870305.
  • 38. Food Standards Australia New Zealand. Review of gluten claims with specific reference to oats and malt: final assessment report, proposal P264. Canberra: FSANZ; 2004.
  • 39. Ludvigsson JF, Montgomery SM, Ekbom A, et al. Small-intestinal histopathology and mortality risk in celiac disease. JAMA 2009; 302: 1171-1178.
  • 40. Ludvigsson JF. Mortality and malignancy in celiac disease. Gastrointest Endosc Clin N Am 2012; 22: 705-722.
  • 41. Lebwohl B, Granath F, Ekbom A, et al. Mucosal healing and risk for lymphoproliferative malignancy in celiac disease: a population-based cohort study. Ann Intern Med 2013; 159: 169-175.
  • 42. Elfstrom P, Granath F, Ye W, Ludvigsson JF. Low risk of gastrointestinal cancer among patients with celiac disease, inflammation, or latent celiac disease. Clin Gastroenterol Hepatol 2012; 10: 30-36.
  • 43. Ludvigsson JF, West J, Ekbom A, Stephansson O. Reduced risk of breast, endometrial and ovarian cancer in women with celiac disease. Int J Cancer 2012; 131: E244-E250.
  • 44. Wahab PJ, Meijer JW, Mulder CJ. Histologic follow-up of people with celiac disease on a gluten-free diet: slow and incomplete recovery. Am J Clin Pathol 2002; 118: 459-463.
  • 45. Newnham ED, Shepherd SJ, Strauss BJ, et al. Adherence to the gluten-free diet can achieve the therapeutic goals in almost all patients with coeliac disease: A 5-year longitudinal study from diagnosis. J Gastroenterol Hepatol 2016; 31: 342-349.
  • 46. Mooney PD, Evans KE, Singh S, Sanders DS. Treatment failure in coeliac disease: a practical guide to investigation and treatment of non-responsive and refractory coeliac disease. J Gastrointestin Liver Dis 2012; 21: 197-203.
  • 47. Ilus T, Kaukinen K, Virta LJ, et al. Refractory coeliac disease in a country with a high prevalence of clinically-diagnosed coeliac disease. Aliment Pharmacol Ther 2014; 39: 418-425.
  • 48. van Gils T, Nijeboer P, van Wanrooij RL, et al. Mechanisms and management of refractory coeliac disease. Nat Rev Gastroenterol Hepatol 2015; 12: 572-579.
  • 49. Catassi C, Elli L, Bonaz B, et al. Diagnosis of non-celiac gluten sensitivity (NCGS): the Salerno experts’ criteria. Nutrients 2015; 7: 4966-4977.
  • 50. Sapone A, Bai JC, Ciacci C, et al. Spectrum of gluten-related disorders: consensus on new nomenclature and classification. BMC Med 2012; 10: 13.
  • 51. Lebwohl B, Ludvigsson JF, Green PH. Celiac disease and non-celiac gluten sensitivity. BMJ 2015; 351: h4347.
  • 52. De Giorgio R, Volta U, Gibson PR. Sensitivity to wheat, gluten and FODMAPs in IBS: facts or fiction? Gut 2015; 65: 169-178.
Online responses are no longer available. Please refer to our instructions for authors page for more information.

Opting for rural practice: the influence of medical student origin, intention and immersion experience

Denese Playford, Hanh Ngo, Surabhi Gupta and Ian B Puddey
Med J Aust 2017; 207 (4): . || doi: 10.5694/mja16.01322
Published online: 21 August 2017

Abstract

Objective: To compare the influence of rural background, rural intent at medical school entry, and Rural Clinical School (RCS) participation on the likelihood of later participation in rural practice.

Design: Analysis of linked data from the Medical School Outcomes Database Commencing Medical Students Questionnaire (CMSQ), routinely collected demographic information, and the Australian Health Practitioner Regulation Agency database on practice location.

Setting and participants: University of Western Australia medical students who completed the CMSQ during 2006–2010 and were practising medicine in 2016.

Main outcome measures: Medical practice in rural areas (ASGC-RAs 2–5) during postgraduate years 2–5.

Results: Full data were available for 508 eligible medical graduates. Rural background (OR, 3.91; 95% CI, 2.12–7.21; P < 0.001) and experience in an RCS (OR, 1.93; 95% CI, 1.05–3.54; P = 0.034) were significant predictors of rural practice in the multivariate analysis of all potential factors. When interactions between intention, origin, and RCS experience were included, RCS participation significantly increased the likelihood of graduates with an initial rural intention practising in a rural location (OR, 3.57; 95% CI, 1.25–10.2; P = 0.017). The effect of RCS participation was not significant if there was no pre-existing intention to practise rurally (OR, 1.38; 95% CI, 0.61–3.16; P = 0.44).

Conclusion: For students who entered medical school with the intention to later work in a rural location, RCS experience was the deciding factor for realising this intention. Background, intent and RCS participation should all be considered if medical schools are to increase the proportion of graduates working rurally.

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  • 1 The Rural Clinical School of Western Australia, University of Western Australia, Perth, WA
  • 2 University of Western Australia, Perth, WA


Correspondence: denese.playford@uwa.edu.au

Acknowledgements: 

We acknowledge the statistical advice of Sharon Evans, senior biostatistician, and the support of David Atkinson, head of the Rural Clinical School of Western Australia.

Competing interests:

No relevant disclosures.

  • 1. Rabinowitz H, Diamond J, Markham F, et al. The relationship between entering medical students’ backgrounds and career plans and their rural practice outcomes three decades later. Acad Med 2012; 87: 493-497.
  • 2. Clark T, Freedman SB, Croft AJ, et al. Medical graduates becoming rural doctors: rural background versus extended rural placement. Med J Aust 2013; 199: 779-782. <MJA full text>
  • 3. Playford D, Evans S, Atkinson D, et al. Impact of the Rural Clinical School of Western Australia on work location of medical graduates. Med J Aust 2014; 200: 104-107. <MJA full text>
  • 4. Kondalsamy-Chennakesavan S, Eley DS, Ranmuthugal G, et al. Determinants of rural practice: positive interaction between rural background and rural undergraduate training. Med J Aust 2015; 202: 41-45. <MJA full text>
  • 5. Playford DE, Puddey IB. Interest in Rural Clinical School is not enough: participation is necessary to predict an ultimate rural practice location. Aust J Rural Health 2016; doi: http://dx.doi.org/10.1111/ajr.12324 [Epub ahead of print].
  • 6. Jones M, Humphreys J, Prideaux D. Predicting medical students’ intentions to take up rural practice after graduation. Med Educ 2009; 43: 1001-1009.
  • 7. Herd MS, Bulsara MK, Jones MP, et al. Preferred practice location at medical school commencement strongly determines graduates’ rural preferences and work locations. Aust J Rural Health 2016; 25: 15-21.
  • 8. Australian Bureau of Statistics. 1216.0 Australian Standard Geographical Classification (ASGC), Jul 2008. Updated Sept 2009. http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/1216.0Jul%202008?OpenDocument (accessed Feb 2016).
  • 9. Worley P, Couper I, Strasser R, et al; Consortium of Longitudinal Integrated Clerkships (CLIC) Research Collaborative. A typology of longitudinal integrated clerkships. Med Educ 2016; 50: 922-932.
  • 10. Puddey IB, Mercer A, Playford DE, Riley GJ. Medical student selection criteria and socio-demographic factors as predictors of ultimately working rurally after graduation. BMC Med Educ 2015; 15: 74.
  • 11. Australian Government, Department of Health. Rural Health Multidisciplinary Training (RHMT) 2016-2018 — Programme Framework. http://www.health.gov.au/internet/main/publishing.nsf/content/rural-health-multidisciplinary-training-program-framework (accessed Feb 2017).
  • 12. Australian Bureau of Statistics. 2039.0. 2039. Information paper: an introduction to Socio-Economic Indexes for Areas (SEIFA), 2006. Updated Mar 2009. http://www.abs.gov.au/AUSSTATS/abs@.nsf/Lookup/2039.0Main+Features12006?OpenDocument (accessed Feb 2017).
  • 13. Australian Bureau of Statistics. 1269.0. Standard Australian Classification of Countries (SACC), 2011. Updated May 2015. http://www.abs.gov.au/ausstats/abs@.nsf/Lookup/1269.0main+features102011 (accessed Feb 2016).
  • 14. Australian Government, Department of Health. Rural classification reform: frequently asked questions [webpage]. DoctorConnect; no date. http://www.doctorconnect.gov.au/internet/otd/publishing.nsf/Content/Classification-changes (accessed June 2017).
  • 15. Walters L, Greenhill J, Richards J, et al. Outcomes of longitudinal integrated clinical placements for students, clinicians and society. Med Educ 2012; 46: 1028-1041.
  • 16. Deloitte Access Economics. Review of the rural medical workforce distribution programs and policies. Report for the Department of Health and Ageing; Aug 2011. https://www.health.gov.au/internet/main/publishing.nsf/Content/foi-disc-log-2011-12/$File/FOI%20235-1011%20document%201.pdf (accessed Mar 2017).
  • 17. Jones M, Humphreys JS, McGrail MR. Why does a rural background make medical students more likely to intend to work in rural areas and how consistent is the effect? A study of the rural background effect. Aust J Rural Health 2012; 20: 29-34.
  • 18. Larkins S, Michielsen K, Iputo J, et al. Impact of selection strategies on representation of underserved populations and intention to practise: international findings. Med Educ 2015; 49: 60-72.
  • 19. Odom Walker K, Ryan G, Ramey R, et al. Recruiting and retaining primary care physicians in urban underserved communities: the importance of having a mission to serve. Am J Public Health 2010; 100: 2168-2175.
  • 20. Tiffin PA, Dowell JS, McLachlan JC. Widening access to UK medical education for under-represented socioeconomic groups: modelling the impact of the UKCAT in the 2009 cohort. BMJ 2012; 344: e1805.
  • 21. Rabinowitz HK, Diamond JJ, Veloski JJ, et al. The impact of multiple predictors on generalist physicians’ care of underserved populations. Am J Public Health 2000; 9: 1225-1228.
  • 22. Playford D, Ng W, Burkitt T. Redistributing the medical workforce: creation of a mobile rural workforce following undergraduate longitudinal rural immersion. Med Teach 2016; 38: 498-503.
  • 23. McGrail M, Russell DJ, Campbell DG. Vocational training of general practitioners in rural locations is critical for the Australian rural medical workforce. Med J Aust 2016; 205: 216-221. <MJA full text>
  • 24. Laven G, Beilby JJ, McElroy HJ, Wilkinson D. Factors associated with rural practice among Australian-trained general practitioner. Med J Aust 2003; 179: 75-79. <MJA full text>
Online responses are no longer available. Please refer to our instructions for authors page for more information.

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