MJA
MJA

The influence of the surveillance time interval on the risk of advanced neoplasia after non‐advanced adenoma removal

Zaki Hamarneh, Charles Cock, Graeme P Young, Peter A Bampton, Robert Fraser, Fang LI Ang, Feruza Kholmurodova and Erin L Symonds
Med J Aust 2021; 215 (10): . || doi: 10.5694/mja2.51222
Published online: 30 August 2021

Abstract

Objectives: To investigate the incidence of advanced neoplasia (colorectal cancer or advanced adenoma) at surveillance colonoscopy following removal of non‐advanced adenoma; to determine whether the time interval before surveillance colonoscopy influences the likelihood of advanced neoplasia.

Design: Retrospective cohort study.

Setting, participants: Patients enrolled in a South Australian surveillance colonoscopy program with findings of non‐advanced adenoma during 1999–2016 who subsequently underwent surveillance colonoscopy.

Main outcome measures: Incidence of advanced neoplasia at follow‐up surveillance colonoscopy.

Results: Advanced neoplasia was detected in 169 of 965 eligible surveillance colonoscopies (18%) for 904 unique patients (median age, 62.0 years; interquartile range [IQR], 54.0–69.0 years), of whom 570 were men (59.1%). The median interval between the initial and surveillance procedures was 5.2 years (IQR, 4.4–6.0 years; range, 2.0–14 years). Factors associated with increased risk of advanced neoplasia at follow‐up included age (per year: odds ratio [OR], 1.03; 95% CI, 1.01–1.05), prior history of adenoma (OR, 1.48; 95% CI, 1.01–2.15), two non‐advanced adenomas identified at baseline procedure (v one: OR, 1.74; 95% CI, 1.18–2.57), and time to surveillance colonoscopy (OR, 1.21; 95% CI, 1.08–1.37). The estimated incidence of advanced neoplasia was 19% five years after non‐advanced adenoma removal, and 30% at ten years.

Conclusions: Increasing the surveillance colonoscopy interval beyond five years after removal of non‐advanced adenoma increases the risk of detection of advanced neoplasia at follow‐up colonoscopy.

Please login with your free MJA account to view this article in full


Please note: institutional and Research4Life access to the MJA is now provided through Wiley Online Library.

Online responses are no longer available. Please refer to our instructions for authors page for more information.

Estimating the abortion rate in Australia from National Hospital Morbidity and Pharmaceutical Benefits Scheme data

Louise A Keogh, Lyle C Gurrin and Patricia Moore
Med J Aust 2021; 215 (8): . || doi: 10.5694/mja2.51217
Published online: 30 August 2021

It is difficult to estimate the abortion rate in Australia, as most states do not routinely report abortion data, and published national data have been incomplete.1 Consequently, some clinicians and academics have been accused of inflating reported rates for political reasons.2 National data have not been published in the peer‐reviewed literature since 2005.3 However, “abortion with operating room procedure” (65 451 procedures) was reported to be the third most frequent surgical procedure in Victorian hospitals during January 2014 ‒ December 2016.4 Prompted by this report, we sought to provide an updated estimate of the national abortion rate for women in Australia. Our study was approved by the University of Melbourne Human Research Ethics Committee (2021‐21757‐16379‐2).

Please login with your free MJA account to view this article in full


Please note: institutional and Research4Life access to the MJA is now provided through Wiley Online Library.


  • 1 Centre for Health Equity, University of Melbourne, Melbourne, VIC
  • 2 Centre for Epidemiology and Biostatistics, University of Melbourne, Melbourne, VIC
  • 3 Royal Women’s Hospital, Melbourne, VIC


Correspondence: l.keogh@unimelb.edu.au

Competing interests:

No relevant disclosures.

Online responses are no longer available. Please refer to our instructions for authors page for more information.

Prescribing of direct‐acting antiviral therapy by general practitioners for people with hepatitis C in an unrestricted treatment program

Fergus Stafford, Gregory J Dore, Shawn Clackett, Marianne Martinello, Gail V Matthews, Jason Grebely, Anne C Balcomb and Behzad Hajarizadeh
Med J Aust 2021; 215 (7): . || doi: 10.5694/mja2.51204
Published online: 23 August 2021

In Australia, highly effective direct‐acting antiviral (DAA) therapy has been available for people with chronic hepatitis C through the Pharmaceutical Benefits Scheme (PBS) since March 2016. All clinicians, including general practitioners, have prescribing authority.1 In many countries, DAA prescribing is restricted to specific medical specialties,2 creating barriers to treatment by disrupting the cascade of care and limiting access for those unable or unwilling to attend specialist services.3 In this study, we characterised DAA prescribing by GPs in the Australian model of DAA access.

Please login with your free MJA account to view this article in full


Please note: institutional and Research4Life access to the MJA is now provided through Wiley Online Library.


  • 1 The Kirby Institute, UNSW Sydney, Sydney, NSW
  • 2 Centre for Population Health, NSW Health, Sydney, NSW
  • 3 76 Prince Medical, Orange, NSW



Acknowledgements: 

The Kirby Institute is funded by the Australian Department of Health and Ageing. Gregory Dore, Gail Matthews and Marianne Martinello were supported by National Health and Medical Research Council (NHMRC) fellowships. Jason Grebely was supported by an NHMRC Investigator grant.

Competing interests:

Gregory Dore is a consultant/advisor and has received research grants from Gilead, AbbVie, Merck, Bristol‐Myers Squibb, and Cepheid. Jason Grebely is a consultant/advisor and has received research grants from Gilead, AbbVie, Hologic, Indivior, Merck, and Cepheid. Gail Matthews has received research funding, advisory board payments, and speaker payments from Gilead, and research funding and speaker payments from Janssen.

  • 1. Hajarizadeh B, Grebely J, Matthews GV, et al. Uptake of direct‐acting antiviral treatment for chronic hepatitis C in Australia. J Viral Hepat 2018; 25: 640–648.
  • 2. Marshall AD, Cunningham EB, Nielsen S, et al; International Network on Hepatitis in Substance Users (INHSU). Restrictions for reimbursement of interferon‐free direct‐acting antiviral drugs for HCV infection in Europe. Lancet Gastroenterol Hepatol 2018; 3: 125–133.
  • 3. Radley A, Robinson E, Aspinall EJ, et al. A systematic review and meta‐analysis of community and primary‐care‐based hepatitis C testing and treatment services that employ direct acting antiviral drug treatments. BMC Health Serv Res 2019; 19: 765.
  • 4. Iranpour N, Dore GJ, Martinello M, et al. Estimated uptake of hepatitis C direct‐acting antiviral treatment among individuals with HIV co‐infection in Australia: a retrospective cohort study. Sex Health 2020; 17: 223–230.
  • 5. Australian Department of Health. General practice workforce providing primary care services in Australia. Updated 17 June 2020. https://hwd.health.gov.au/resources/data/gp‐primarycare.html (viewed June 2021).
Online responses are no longer available. Please refer to our instructions for authors page for more information.

Screening outcomes by risk factor and age: evidence from BreastScreen WA for discussions of risk‐stratified population screening

Naomi Noguchi, Michael L Marinovich, Elizabeth J Wylie, Helen G Lund and Nehmat Houssami
Med J Aust 2021; 215 (8): . || doi: 10.5694/mja2.51216
Published online: 23 August 2021

Abstract

Objectives: To estimate rates of screen‐detected and interval breast cancers, stratified by risk factor, to inform discussions of risk‐stratified population screening.

Design: Retrospective population‐based cohort study; analysis of routinely collected BreastScreen WA program clinical and administrative data.

Setting, participants: All BreastScreen WA mammography screening episodes for women aged 40 years or more during 1 July 2007 ‒ 30 June 2017.

Main outcome measures: Cancer detection rate (CDR) and interval cancer rate (ICR), by risk factor.

Results: A total of 323 082 women were screened in 1 026 137 screening episodes (mean age, 58.5 years; SD, 8.6 years). The overall CDR was 68 (95% CI, 67‒70) cancers per 10 000 screens, and the overall ICR was 9.7 (95% CI, 9.2‒10.1) cancers per 10 000 women‐years. Interactions between the effects on CDR of age group and five risk factors were statistically significant: personal history of breast cancer (P = 0.039), family history of breast cancer (P = 0.005), risk‐relevant benign conditions (P = 0.012), hormone‐replacement therapy (P = 0.002), and self‐reported symptoms (P < 0.001). The influence of these risk factors (except personal history) increased with age. For ICR, only the interaction between age and hormone‐replacement therapy was significant (P < 0.001), although weak interactions between age and family history of breast cancer or having dense breasts were noted (each P = 0.07). The influence of family history on ICR was significant only for women aged 40‒49 years.

Conclusions: Screening CDR and (for some risk factors) ICR were higher for women in some age groups with personal histories of breast cancer or risk‐relevant benign breast conditions or first degree family history of breast cancer, women with dense breasts or self‐reported breast‐related symptoms, and women using hormone‐replacement therapy. Our findings could inform the evaluation of risk‐based screening.

Please login with your free MJA account to view this article in full


Please note: institutional and Research4Life access to the MJA is now provided through Wiley Online Library.


  • 1 The University of Sydney, Sydney, NSW
  • 2 Curtin University, Perth, WA
  • 3 BreastScreen WA, Perth, WA
  • 4 Royal Perth Hospital, Perth, WA
  • 5 Sydney School of Public Health, University of Sydney, Sydney, NSW


Correspondence: naomi.noguchi@sydney.edu.au

Acknowledgements: 

Nehmat Houssami is supported by the National Breast Cancer Foundation (NBCF) Chair in Breast Cancer Prevention program (EC‐21‐001) and by a National Health and Medical Research Council Investigator (Leader) grant (1194410). Michael Marinovich is supported by a National Breast Cancer Foundation Investigator Initiated Research Scheme grant (IIRS‐20‐011). We thank Sonia El‐Zaemey and Kim Kee Ooi (BreastScreen WA) for extracting and cleaning the data for our analysis.

Competing interests:

No relevant disclosures.

Online responses are no longer available. Please refer to our instructions for authors page for more information.

Medico‐legal risks associated with fragmented care in general practice

Jack Marjot, Georgie Haysom and Penny Browne
Med J Aust 2021; 215 (5): . || doi: 10.5694/mja2.51205
Published online: 23 August 2021

Fragmented patient care can lead to missed diagnoses, inappropriate prescribing and failure of preventive medicine

“Continuity of care” refers to the holistic management of a patient by a single practitioner, or a well integrated network of practitioners in close communication. The definition of fragmented care is not established, but here we consider it to be three or more different general practitioners managing the same underlying condition or presenting complaint.


  • Avant Mutual, Sydney, NSW



Competing interests:

No relevant disclosures.

Online responses are no longer available. Please refer to our instructions for authors page for more information.

The characteristics of SARS‐CoV‐2‐positive children who presented to Australian hospitals during 2020: a PREDICT network study

Laila F Ibrahim, Doris Tham, Vimuthi Chong, Mark Corden, Simon Craig, Paul Buntine, Shefali Jani, Michael Zhang, Shane George, Amit Kochar, Sharon O’Brien, Karen Robins‐Browne, Shidan Tosif, Andrew Daley, Sarah McNab, Nigel W Crawford, Catherine Wilson and Franz E Babl
Med J Aust 2021; 215 (5): . || doi: 10.5694/mja2.51207
Published online: 16 August 2021

Abstract

Objectives: To examine the epidemiological and clinical characteristics of SARS‐CoV‐2‐positive children in Australia during 2020.

Design, setting: Multicentre retrospective study in 16 hospitals of the Paediatric Research in Emergency Departments International Collaborative (PREDICT) network; eleven in Victoria, five in four other Australian states.

Participants: Children aged 0‒17 years who presented to hospital‐based COVID‐19 testing clinics, hospital wards, or emergency departments during 1 February ‒ 30 September 2020 and who were positive for SARS‐CoV‐2.

Main outcome measures: Epidemiological and clinical characteristics of children positive for SARS‐CoV‐2.

Results: A total of 393 SARS‐CoV‐2‐positive children (181 girls, 46%) presented to the participating hospitals (426 presentations, including 131 to emergency departments [31%]), the first on 3 February 2020. Thirty‐three children presented more than once (8%), including two who were transferred to participating tertiary centres (0.5%). The median age of the children was 5.3 years (IQR, 1.9‒12.0 years; range, 10 days to 17.9 years). Hospital admissions followed 51 of 426 presentations (12%; 44 children), including 17 patients who were managed remotely by hospital in the home. Only 16 of the 426 presentations led to hospital medical interventions (4%). Two children (0.5%) were diagnosed with the paediatric inflammatory multisystem syndrome temporally associated with SARS‐CoV‐2 (PIMS‐TS).

Conclusion: The clinical course for most SARS‐CoV‐2‐positive children who presented to Australian hospitals was mild, and did not require medical intervention.

Please login with your free MJA account to view this article in full


Please note: institutional and Research4Life access to the MJA is now provided through Wiley Online Library.


  • 1 Murdoch Children’s Research Institute, Melbourne, VIC
  • 2 University of Melbourne, Melbourne, VIC
  • 3 Western Health, Melbourne, VIC
  • 4 Austin Hospital, Melbourne, VIC
  • 5 Northern Hospital Epping, Melbourne, VIC
  • 6 Monash Health, Melbourne, VIC
  • 7 Monash University, Melbourne, VIC
  • 8 Eastern Health, Melbourne, VIC
  • 9 Box Hill Hospital, Melbourne, VIC
  • 10 The Children’s Hospital at Westmead, Sydney, NSW
  • 11 The University of Sydney, Sydney, NSW
  • 12 John Hunter Hospital, Newcastle, NSW
  • 13 Gold Coast University Hospital, Gold Coast, QLD
  • 14 The University of Queensland Child Health Research Centre, Brisbane, QLD
  • 15 Women’s and Children’s Hospital, Adelaide, SA
  • 16 Perth Children’s Hospital, Perth, WA
  • 17 Curtin University, Perth, WA
  • 18 University Hospital Geelong, Geelong, VIC


Correspondence: Laila.Ibrahim@mcri.edu.au

Acknowledgements: 

This study was unfunded, but was supported by a National Health and Medical Research Council (NHMRC) Centre of Research Excellence grant for paediatric emergency medicine (GNT1171228) and the Victorian Government Infrastructure Support Program. The participation of Franz Babl was partly funded by an NHMRC Practitioner Fellowship (GNT1124466) and by the Royal Children’s Hospital Foundation. Laila Ibrahim was supported by a Clinician‐Scientist Fellowship from the Murdoch Children’s Research Institute.

We acknowledge the staff who assisted with data retrieval: Visakan Krishnananthan and Caoimhe Basquille (emergency medicine, Eastern Health); Rebecca Gormley (Sunshine Hospital, Western Health); Gaby Nieva (Women’s and Children’s Hospital, Adelaide); and Rebecca Hughes (Royal Children’s Hospital Melbourne).

Competing interests:

No relevant disclosures.

  • 1. Lavezzo E, Franchin E, Ciavarella C, et al; Imperial College COVID‐19 Response Team. Suppression of a SARS‐CoV‐2 outbreak in the Italian municipality of Vo’. Nature 2020; 584: 425–429.
  • 2. Neeland MR, Bannister S, Clifford V, et al. Innate cell profiles during the acute and convalescent phase of SARS‐CoV‐2 infection in children. Nat Commun 2021; 12: 1084.
  • 3. Zimmermann P, Curtis N. Why is COVID‐19 less severe in children? A review of the proposed mechanisms underlying the age‐related difference in severity of SARS‐CoV‐2 infections. Arch Dis Child 2021; 106: 429–439.
  • 4. Graff K, Smith C, Silveira L, et al. Risk factors for severe COVID‐19 in children. Pediatr Infect Dis J 2021; 40: e137–e145.
  • 5. Shekerdemian LS, Mahmood NR, Wolfe KK, et al; International COVID‐19 PICU Collaborative. Characteristics and outcomes of children with coronavirus disease 2019 (COVID‐19) infection admitted to US and Canadian pediatric intensive care units. JAMA Pediatr 2020; 40: e137–e145.
  • 6. Alfraij A, Bin Alamir AA, Al‐Otaibi AM, et al. Characteristics and outcomes of coronavirus disease 2019 (COVID‐19) in critically ill pediatric patients admitted to the intensive care unit: a multicenter retrospective cohort study. J Infect Public Health 2020; 14: 193–200.
  • 7. Jiang L, Tang K, Levin M, et al. COVID‐19 and multisystem inflammatory syndrome in children and adolescents. Lancet Infect Dis 2020; 20: e276–e288.
  • 8. Davies P, Evans C, Kanthimathinathan HK, et al. Intensive care admissions of children with paediatric inflammatory multisystem syndrome temporally associated with SARS‐CoV‐2 (PIMS‐TS) in the UK: a multicentre observational study. Lancet Child Adolesc Health 2020; 4: 669–677.
  • 9. Cheung EW, Zachariah P, Gorelik M, et al. Multisystem inflammatory syndrome related to COVID‐19 in previously healthy children and adolescents in New York City. JAMA 2020; 324: 294–296.
  • 10. 2019‐nCoV National Incident Room Surveillance Team. 2019‐nCoV acute respiratory disease, Australia. Epidemiology Report 1. Reporting week 26 January – 1 February 2020. Commun Dis Intell (2018) 2020; 44: https://doi.org/10.33321/cdi.2020.44.13.
  • 11. COVID‐19 National Incident Room Surveillance Team. COVID‐19 Australia: Epidemiology Report 26. Fortnightly reporting period ending 27 September 2020. Commun Dis Intell (2018) 2020; 44: https://doi.org/10.33321/cdi.2020.44.78.
  • 12. COVID‐19 National Incident Room Surveillance Team. COVID‐19, Australia: Epidemiology Report 2 (Reporting week ending 19:00 AEDT 8 February 2020). Commun Dis Intell (2018). 2020; 44: https://doi.org/10.33321/cdi.2020.44.14.
  • 13. Ibrahim LF, Tosif S, McNab S, et al. SARS-CoV‐2 testing and outcomes in the first 30 days after the first case of COVID‐19 at an Australian children’s hospital. Emerg Med Australas 2020; 32: 801–808.
  • 14. Babl FE, Krieser D, Oakley E, Dalziel S. A platform for paediatric acute care research. Emerg Med Australas 2014; 26: 419–422.
  • 15. Paediatric Active Enhanced Disease Surveillance. Surveillance and research: PIMS‐TS. https://www.paeds.org.au/web/our-work/surveillance-and-research (viewed June 2021).
  • 16. Australian Department of Health. Coronavirus disease 2019 (COVID‐19). CDNA national guidelines for public health units. Updated 24 June 2021. https://www1.health.gov.au/internet/main/publishing.nsf/Content/cdna-song-novel-coronavirus.htm (viewed June 2021).
  • 17. Gilbert EH, Lowenstein SR, Koziol‐McLain J, et al. Chart reviews in emergency medicine research: where are the methods? Ann Emerg Med 1996; 27: 305–308.
  • 18. Dong Y, Mo X, Hu Y, et al. Epidemiology of COVID‐19 among children in China. Pediatrics 2020; 145: e20200702.
  • 19. Bassareo PP. Pediatric inflammatory multisystem syndrome temporally associated with SARS‐CoV‐2 (PIMS‐TS) in the United Kingdom and Ireland: what is new? Lancet Reg Health Eur 2021; 3: 100090.
  • 20. Parri N, Lenge M, Cantoni B, et al; CONFIDENCE Research Group. COVID‐19 in 17 Italian pediatric emergency departments. Pediatrics 2020; 146: e20201235.
  • 21. Kidd M, Richter A, Best A, et al. S‐variant SARS‐CoV‐2 lineage B1.1.7 is associated with significantly higher viral loads in samples tested by ThermoFisher TaqPath RT‐qPCR. J Infect Dis 2021; 223: 1666–1670.
  • 22. Planas D, Bruel T, Grzelak L, et al. Sensitivity of infectious SARS‐CoV‐2 B.1.1.7 and B.1.351 variants to neutralizing antibodies. Nat Med 2021; 27: 917–924.
  • 23. Madhi SA, Baillie V, Cutland CL, et al; NGS‐SA Group; Wits‐VIDA COVID Group. Efficacy of the ChAdOx1 nCoV‐19 Covid‐19 vaccine against the B.1.351 variant. N Engl J Med 2021; 384: 1885–1898.
  • 24. The Royal Children’s Hospital Melbourne. Wallaby: Hospital‐in-the‐Home. COVID‐19 resources. https://www.rch.org.au/wallaby/COVID-19_resources (viewed June 2021).
  • 25. Kaji AH, Schriger D, Green S. Looking through the retrospectoscope: reducing bias in emergency medicine chart review studies. Ann Emerg Med 2014; 64: 292–298.
Online responses are no longer available. Please refer to our instructions for authors page for more information.

COVID‐19 in children: time for a new strategy

Mary‐Louise McLaws
Med J Aust 2021; 215 (5): . || doi: 10.5694/mja2.51206
Published online: 16 August 2021

We need to consider offering vaccination to adolescents and young adults

The generally mild course of coronavirus disease 2019 (COVID‐19) in children, as observed during the early phase of the pandemic, may not continue to be typical as the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) mutates. In this issue of the MJA, Ibrahim and colleagues1 describe the characteristics of children positive for SARS‐CoV‐2 who presented to 16 Australian hospitals during February – September 2020, when the Wuhan strain of the virus was circulating in Australia. Reassuringly, most of the 393 children did not need hospital care, and there were no deaths.1 However, 44 children were admitted to hospital (11%), including two who developed paediatric inflammatory multisystem syndrome temporally associated with SARS‐CoV‐2 (PIMS‐TS), and 17 were managed with hospital in the home care.1

Please login with your free MJA account to view this article in full


Please note: institutional and Research4Life access to the MJA is now provided through Wiley Online Library.


  • 1 University of New South Wales, Sydney, NSW
  • 2 WHO Health Emergencies Programme, Ad‐hoc COVID‐19 Infection Prevention and Control Guidance Development Group


Correspondence: m.mclaws@unsw.edu.au

Competing interests:

No relevant disclosures.

Online responses are no longer available. Please refer to our instructions for authors page for more information.

Co‐occurring depression and insomnia in Australian primary care: recent scientific evidence

Alexander Sweetman, Leon Lack, Emer Van Ryswyk, Andrew Vakulin, Richard L Reed, Malcolm W Battersby, Nicole Lovato and Robert J Adams
Med J Aust 2021; 215 (5): . || doi: 10.5694/mja2.51200
Published online: 16 August 2021

Summary

  • Depression and insomnia commonly co‐occur, resulting in greater morbidity for patients, and difficult diagnostic and treatment decisions for clinicians.
  • When patients report symptoms of both depression and insomnia, it is common for medical practitioners to conceptualise the insomnia as a secondary symptom of depression. This implies that there is little purpose in treating insomnia directly, and that management of depression will improve both the depression and insomnia symptoms.
  • In this review, we present an overview of research investigating the comorbidity and treatment approaches for patients presenting with depression and insomnia in primary care.
  • Evidence shows that clinicians should avoid routinely conceptualising insomnia as a secondary symptom of depression. This is because insomnia symptoms: (i) often occur before mood decline and are independently associated with increased risk of future depression; (ii) commonly remain unchanged following depression treatment; and (iii) predict relapse of depression after treatment for depression only. Furthermore, compared with control, cognitive behaviour therapy for insomnia improves symptoms of both depression and insomnia.
  • It is critical that primary care clinicians dedicate specific diagnostic and treatment attention to the management of both depression (eg, psychotherapy, antidepressants) and insomnia (eg, cognitive behaviour therapy for insomnia administered by trained therapists or psychologists through a mental health treatment plan referral, by online programs, or by a general practitioner or nurse) when they co‐occur. These treatments may be offered concurrently or sequentially (eg, insomnia treatment followed by depression treatment, or vice versa), depending on presenting symptoms, history, lifestyle factors and other comorbidities.

  • 1 Adelaide Institute for Sleep Health, Flinders Health and Medical Research Institute, Flinders University, Adelaide, SA
  • 2 National Centre for Sleep Health Services Research, Flinders University, Adelaide, SA
  • 3 College of Medicine and Public Health, Flinders University, Adelaide, SA



Acknowledgements: 

This work was supported by a National Health and Medical Research Council Centres of Research Excellence program of research, aiming to position primary care at the centre of sleep health management in Australia (GNT1134954).

Competing interests:

Leon Lack and Nicole Lovato have received research funding from Re‐Timer Pty Ltd.

  • 1. Riemann D, Krone LB, Wulff K, Nissen C. Sleep, insomnia, and depression. Neuropsychopharmacology 2020; 45: 74–89.
  • 2. Staner L. Comorbidity of insomnia and depression. Sleep Med Rev 2010; 14: 35–46.
  • 3. Ohayon MM, Shapiro CM, Kennedy SH. Differentiating DSM‐IV anxiety and depressive disorders in the general population: comorbidity and treatment consequences. Can J Psychiatry 2000; 45: 166–172.
  • 4. American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 5th ed. Washington, DC: APA, 2013.
  • 5. Simon GE, VonKorff M. Prevalence, burden, and treatment of insomnia in primary care. Am J Psychiatry 1997; 154: 1417–1423.
  • 6. Matteson‐Rusby SE, Pigeon WR, Gehrman P, Perlis ML, Why treat insomnia? Prim Care Companion J Clin Psychiatry 2010; 12: PCC.08r00743.
  • 7. Pigeon WR, Hegel M, Unützer J, et al. Is insomnia a perpetuating factor for late‐life depression in the IMPACT cohort? Sleep 2008; 31: 481–488.
  • 8. Everitt H, McDermott L, Leydon G, et al. GPs’ management strategies for patients with insomnia: a survey and qualitative interview study. Br J Gen Pract 2014; 64: e112–e119.
  • 9. Davy Z, Middlemass J, Siriwardena AN. Patients’ and clinicians’ experiences and perceptions of the primary care management of insomnia: qualitative study. Health Expect 2015; 18: 1371–1383.
  • 10. Australian Government Productivity Commission. Mental health: Productivity Commission inquiry report (No. 95, 30 June 2020) Canberra: Commonwealth of Australia. 2020. https://www.pc.gov.au/inquiries/completed/mental‐health/report/mental‐health‐volume1.pdf (viewed May 2021).
  • 11. Lichstein KL. Secondary insomnia: a myth dismissed. Sleep Med Rev 2006; 10: 3–5.
  • 12. National Institutes of Health. NIH state‐of‐the‐science conference statement on manifestations and management of chronic insomnia in adults. NIH Consens State Sci Statements 2005; 22: 1–30.
  • 13. National Collaborating Centre for Mental Health. Depression: the treatment and management of depression in adults (updated edition) (National Clinical Practice Guideline 90). London: British Psychological Society and The Royal College of Psychiatrists, 2010. https://www.ncbi.nlm.nih.gov/books/NBK63748/pdf/Bookshelf_NBK63748.pdf (viewed May 2021).
  • 14. Cipriani A, Furukawa TA, Salanti G, et al. Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta‐analysis. Focus (Madison) 2018; 16: 420–429.
  • 15. Lovibond SH, Lovibond PF. Manual for the depression anxiety stress scales. 2nd ed. Sydney: Psychology Foundation of Australia, 1995.
  • 16. Kroenke K, Spitzer RL. The PHQ‐9: a new depression diagnostic and severity measure. Psychiatr Ann 2002; 32: 509–515.
  • 17. Bastien CH, Vallières A, Morin CM. Validation of the insomnia severity index as an outcome measure for insomnia research. Sleep Med 2001; 2: 297–307.
  • 18. Espie CA, Kyle SD, Hames P, et al. The Sleep Condition Indicator: a clinical screening tool to evaluate insomnia disorder. BMJ Open 2014; 4: 1–5.
  • 19. Sweetman A, Melaku Y, Lack L, et al. Prevalence and associations of co‐morbid insomnia and sleep apnoea in an Australian population‐based sample. Sleep Med 2021; 28: 9–17.
  • 20. Beyond Blue. National help lines and websites. https://www.beyondblue.org.au/get‐support/national‐help‐lines‐and‐websites (viewed May 2021).
  • 21. Australian Psychological Society. Find a psychologist. https://www.psychology.org.au/Find‐a‐Psychologist (viewed May 2021).
  • 22. Royal Australian College of General Practitioners. Prescribing drugs of dependence in general practice, Part B: Benzodiazepines. Melbourne: RACGP, 2015, https://www.racgp.org.au/getattachment/1beeb924‐cf7b‐4de4‐911e‐f7dda3e3f6e9/Part‐B.aspx (viewed May 2021).
  • 23. Sweetman A, Zwar N, Grivell N, et al. A step‐by‐step model for a brief behavioural treatment for insomnia in Australian general practice. Aus J Gen Pract 2020; 50: 287–293.
  • 24. Royal Australian College of General Practitioners. Brief behavioural therapy: insomnia in adults. Melbourne: RACGP, 2014. https://www.racgp.org.au/clinical‐resources/clinical‐guidelines/handi/handi‐interventions/mental‐health/brief‐behavioural‐therapy‐insomnia‐in‐adults (viewed May 2021).
  • 25. Australasian Sleep Association. https://www.sleep.org.au (viewed May 2021).
  • 26. Qaseem A, Kansagara D, Forciea MA, et al. Management of chronic insomnia disorder in adults: a clinical practice guideline from the American College of Physicians. Ann Intern Med 2016; 165: 125–133.
  • 27. Miller CB, Valenti L, Harrison CM, et al. Time trends in the family physician management of insomnia: the Australian experience (2000–2015). J Clin Sleep Med 2017; 13: 785–790.
  • 28. Wilson S, Anderson K, Baldwin D, et al. British Association for Psychopharmacology consensus statement on evidence‐based treatment of insomnia, parasomnias and circadian rhythm disorders: an update. J Psychopharmacol 2019; 33: 923–947.
  • 29. Sweetman A, Putland S, Lack L, et al. The effect of cognitive behavioural therapy for insomnia on sedative‐hypnotic use: a narrative review. Sleep Med Rev 2020; 56: 1–14.
  • 30. Ogawa Y, Takeshima N, Hayasaka Y, et al. Antidepressants plus benzodiazepines for adults with major depression. Cochrane Database Syst Rev 2019; 3: 1–65.
  • 31. Cunningham JE, Shapiro CM. Cognitive behavioural therapy for insomnia (CBT‐I) to treat depression: a systematic review. J Psychosom Res 2018; 106: 1–12.
  • 32. Everitt H, Baldwin DS, Stuart B, et al. Antidepressants for insomnia in adults. Cochrane Database Syst Rev 2018; 5: 1–99.
  • 33. Liu Y, Xu X, Dong M, et al. Treatment of insomnia with tricyclic antidepressants: a meta‐analysis of polysomnographic randomized controlled trials. Sleep Med 2017; 34: 126–133.
  • 34. Sateia M, Buysse D, Krystal A, et al. Clinical practice guideline for the pharmacologic treatment of chronic insomnia in adults: an American Academy of Sleep Medicine clinical practice guideline. J Clin Sleep Med 2017; 13: 307–349.
  • 35. Sweetman A, Lack LC, Catcheside PG, et al. Developing a successful treatment for co‐morbid insomnia and sleep apnoea. Sleep Med Rev 2017; 33: 28–38.
  • 36. Malhi GS, Bell E, Bassett D, et al. The 2020 Royal Australian and New Zealand College of Psychiatrists clinical practice guidelines for mood disorders. Aust N Z J Psychiatry 2021; 55: 7–117.
  • 37. Spielman AJ, Caruso LS, Glovinsky PB. A behavioral perspective on insomnia treatment. Psychiatry Clinics North Am 1987; 10: 541–553.
  • 38. Harvey AG. A cognitive model of insomnia. Behav Res Ther 2002; 40: 869–893.
  • 39. Bonnet MH, Arand DL. Hyperarousal and insomnia. Sleep Med Rev 1997; 1: 97–108.
  • 40. Hertenstein E, Feige B, Gmeiner T, et al. Insomnia as a predictor of mental disorders: a systematic review and meta‐analysis. Sleep Med Rev 2019; 43: 96–105.
  • 41. Blanken TF, Borsboom D, Penninx BW, Van Someren EJ. Network outcome analysis identifies difficulty initiating sleep as a primary target for prevention of depression: a 6‐year prospective study. Sleep 2020; 43: zsz288.
  • 42. Lovato N, Gradisar M. A meta‐analysis and model of the relationship between sleep and depression in adolescents: recommendations for future research and clinical practice. Sleep Med Rev 2014; 18: 521–529.
  • 43. Baglioni C, Battagliese G, Feige B, et al. Insomnia as a predictor of depression: a meta‐analytic evaluation of longitudinal epidemiological studies. J Affect Disord 2011; 135: 10–19.
  • 44. Jackson ML, Sztendur EM, Diamond NT, et al. Sleep difficulties and the development of depression and anxiety: a longitudinal study of young Australian women. Arch Womens Ment Health 2014; 17: 189–198.
  • 45. Blom K, Jernelöv S, Rück C, et al. Three‐year follow‐up comparing cognitive behavioral therapy for depression to cognitive behavioral therapy for insomnia, for patients with both diagnoses. Sleep 2017; 40: 1–5.
  • 46. Ashton H. Protracted withdrawal syndromes from benzodiazepines. J Subst Abuse Treat 1991; 8: 19–28.
  • 47. Gregory AM, Rijsdijk FV, Lau JY, et al. The direction of longitudinal associations between sleep problems and depression symptoms: a study of twins aged 8 and 10 years. Sleep 2009; 32: 189–199.
  • 48. Buysse DJ, Angst J, Gamma A, et al. Prevalence, course, and comorbidity of insomnia and depression in young adults. Sleep 2008; 31: 473–480.
  • 49. Sweetman A, Lovato N, Micic G, et al. Do symptoms of depression, anxiety or stress impair the effectiveness of cognitive behavioral therapy for insomnia? A chart‐review of 455 patients with chronic insomnia. Sleep Med 2020; 75: 401–410.
  • 50. Christensen H, Batterham PJ, Gosling JA, et al. Effectiveness of an online insomnia program (SHUTi) for prevention of depressive episodes (the GoodNight Study): a randomised controlled trial. Lancet Psychiatry 2016; 3: 333–341.
  • 51. Cheng P, Kalmbach DA, Tallent G, et al. Depression prevention via digital cognitive behavioral therapy for insomnia: a randomized controlled trial. Sleep 2019; 42: 1–9.
  • 52. Ye Y‐Y, Zhang Y‐F, Chen J, et al. Internet‐based cognitive behavioral therapy for insomnia (ICBT‐i) improves comorbid anxiety and depression—a meta‐analysis of randomized controlled trials. PLoS One 2015; 10: e0142258.
  • 53. Gebara MA, Siripong N, DiNapoli EA, et al. Effect of insomnia treatments on depression: a systematic review and meta‐analysis. Depression Anxiety 2018; 35: 717–731.
  • 54. Wiegand MH. Antidepressants for the treatment of insomnia. Drugs 2008; 68: 2411–2417.
  • 55. Carney CE, Segal ZV, Edinger JD, Krystal AD. A comparison of rates of residual insomnia symptoms following pharmacotherapy or cognitive‐behavioral therapy for major depressive disorder. J Clin Psychiatry 2007; 68: 254–260.
  • 56. Dombrovski AY, Cyranowski JM, Mulsant BH, et al. Which symptoms predict recurrence of depression in women treated with maintenance interpersonal psychotherapy? Depression Anxiety 2008; 25: 1060–1066.
  • 57. van de Laar M, Pevernagie D, van Mierlo P, Overeem S. Psychiatric comorbidity and aspects of cognitive coping negatively predict outcome in cognitive behavioral treatment of psychophysiological insomnia. Behav Sleep Med 2015; 13: 140–156.
  • 58. Belleville G, Morin CM. Hypnotic discontinuation in chronic insomnia: impact of psychological distress, readiness to change, and self‐efficacy. Health Psychol 2008; 27: 239–248.
  • 59. Manber R, Bernert RA, Suh S, et al. CBT for insomnia in patients with high and low depressive symptom severity: adherence and clinical outcomes. J Clin Sleep Med 2011; 7: 645–652.
  • 60. Edinger JD, Olsen MK, Stechuchak KM, et al. Cognitive behavioral therapy for patients with primary insomnia or insomnia associated predominantly with mixed psychiatric disorders: a randomized clinical trial. Sleep 2009; 32: 499–510.
Online responses are no longer available. Please refer to our instructions for authors page for more information.

The expanding geographic range of dengue in Australia

Annelies Wilder‐Smith
Med J Aust 2021; 215 (4): . || doi: 10.5694/mja2.51185
Published online: 16 August 2021

If suitable mosquito vectors are present in a region, returning infected travellers can initiate local transmission

Dengue outbreaks outside their usual geographic distribution — the subtropics and tropics of Asia, Africa, and Latin America — always attract media attention. The first major autochthonous dengue outbreaks in Europe were in Madeira (Portugal) in 2012;1 smaller clusters have been reported in France, Croatia,2 and Italy.3 Despite suitable mosquito vectors, the seasonal window for the establishment of dengue in Europe is short and the risk of its propagation, even in southern Europe, is low.4 It could, however, increase with global warming;5 for example, importation of dengue into more temperate climate zones in China has resulted in local outbreaks in cities such as Shanghai.6


  • 1 Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
  • 2 Heidelberg Institute of Global Health, University of Heidelberg, Heidelberg, Germany



Competing interests:

No relevant disclosures.

  • 1. Wilder‐Smith A, Quam M, Sessions O, et al. The 2012 dengue outbreak in Madeira: exploring the origins. Euro Surveill 2014; 19: 20718.
  • 2. Tomasello D, Schlagenhauf P. Chikungunya and dengue autochthonous cases in Europe, 2007–2012. Travel Med Infect Dis 2013; 11: 274–284.
  • 3. Lazzarini L, Barzon L, Foglia F, et al. First autochthonous dengue outbreak in Italy, August 2020. Euro Surveill 2020; 25: 2001606.
  • 4. Massad E, Amaku M, Coutinho FAB, et al. Estimating the probability of dengue virus introduction and secondary autochthonous cases in Europe. Sci Rep 2018; 8: 4629.
  • 5. Lillepold K, Rocklöv J, Liu‐Helmersson J, et al. More arboviral disease outbreaks in continental Europe due to the warming climate? J Travel Med 2019; 26: taz017.
  • 6. Ma Y, Li S, Wan Z, et al. Phylogenetic analyses of dengue virus serotypes imported to Shanghai, China. J Travel Med 2020; 27: taaa195.
  • 7. Ritchie SA, Pyke AT, Hall‐Mendelin S, et al. An explosive epidemic of DENV‐3 in Cairns, Australia. PLoS One 2013; 8: e68137.
  • 8. Masyeni S, Yohan B, Somia IKA, et al. Dengue infection in international travellers visiting Bali, Indonesia. J Travel Med 2018; 25: tay061.
  • 9. Walker J, Pyke A, Florian P, et al. Re‐defining the dengue‐receptive area of Queensland after the 2019 dengue outbreak in Rockhampton. Med J Aust 2021; 215: 182.
  • 10. Russell RC, Currie BJ, Lindsay MD, et al. Dengue and climate change in Australia: predictions for the future should incorporate knowledge from the past. Med J Aust 2009; 190: 265–268. https://www.mja.com.au/journal/2009/190/5/dengue-and-climate-change-australia-predictions-future-should-incorporate
  • 11. Queensland Health. Queensland dengue management plan 2015‒2020. Sept 2015. https://www.health.qld.gov.au/__data/assets/pdf_file/0022/444433/dengue-mgt-plan.pdf (viewed July 2021).
  • 12. Trewin BJ, Kay BH, Darbro JM, Hurst TP. Increased container‐breeding mosquito risk owing to drought‐induced changes in water harvesting and storage in Brisbane, Australia. Int Health 2013; 5: 251–258.
  • 13. van den Hurk AF, Nicholson J, Beebe NW, et al. Ten years of the Tiger: Aedes albopictus presence in Australia since its discovery in the Torres Strait in 2005. One Health 2016; 2: 19–24.
  • 14. Montgomery BL, Shivas MA, Hall‐Mendelin S, et al. Rapid Surveillance for Vector Presence (RSVP): development of a novel system for detecting Aedes aegypti and Aedes albopictus. PLoS Negl Trop Dis 2017; 11: e0005505.
  • 15. Utarini A, Indriani C, Ahmad RA, et al; AWED Study Group. Efficacy of Wolbachia‐infected mosquito deployments for the control of dengue. N Engl J Med 2021; 384: 2177–2186.
  • 16. Ritchie SA. Wolbachia and the near cessation of dengue outbreaks in Northern Australia despite continued dengue importations via travellers. J Travel Med 2018; 25: tay084.
Online responses are no longer available. Please refer to our instructions for authors page for more information.

The future of rehabilitation for older Australians

Ian D Cameron, Maria Crotty and Susan E Kurrle
Med J Aust 2021; 215 (4): . || doi: 10.5694/mja2.51184
Published online: 16 August 2021

We urgently need a national strategy to reduce overreliance on hospital services for functional recovery treatments

In this issue of the Journal, Soh and colleagues report their study of the outcomes of inpatient rehabilitation for older people.1 Their findings can be interpreted in a variety of ways. Most participants (396 of 618, 60%) recovered pre‐admission levels of functional performance (as measured with the Activities of Daily Living [ADL] scale), but cognitive impairment (64% of participants) and frailty (the median Clinical Frailty Score at admission was 6 = “moderately frail”) were confirmed as negative prognostic factors. Within three months of discharge from inpatient rehabilitation, 160 of the 618 had been newly institutionalised (26%) and 75 of the 693 initially included patients had died (11%). Recovery of ADL function was, as expected, more frequent than recovery of the more complex functioning assessed by the Instrumental Activities of Daily Living scale (35%). But 110 of the 192 people living at home prior to admission who made no functional gains on the ADL during rehabilitation (57%) were still at home at the three‐month follow‐up and had probably received some benefit from the coordinated rehabilitation program. While the investigation by Soh and colleagues was a single centre study, their findings are broadly similar to those of an older Australian multicentre study.2


  • 1 John Walsh Centre for Rehabilitation Research, University of Sydney, Sydney, NSW
  • 2 Flinders University, Adelaide, SA
  • 3 Hornsby Ku‐ring-gai Hospital, Sydney, NSW


Correspondence: ian.cameron@sydney.edu.au

Competing interests:

Susan Kurrle is the Clinical Director, Rehabilitation and Aged Care Network, in the Northern Sydney Local Health District (NSLHD). Ian Cameron is employed by the NSLHD. Maria Crotty is the Unit Head of Rehabilitation in the Southern Adelaide Local Health Network (SAHLN). The opinions expressed in this editorial do not reflect the policy of NSLHD or SAHLN.

  • 1. Soh CH, Reijnierse EM, Tuttle C, et al. Trajectories of functional performance recovery after inpatient geriatric rehabilitation: an observational study. Med J Aust 2021; 215: 173–179.
  • 2. Cameron ID, Schaafsma FG, Wilson S, et al. Outcomes of rehabilitation in older people–functioning and cognition are the most important predictors: an inception cohort study. J Rehabil Med 2012; 44: 24–30.
  • 3. Mitchell R, Harvey L, Brodaty H, et al. Hip fracture and the influence of dementia on health outcomes and access to hospital‐based rehabilitation for older individuals. Disabil Rehabil 2016; 38: 2286–2295.
  • 4. Killington M, Davies O, Crotty M, et al. People living in nursing care facilities who are ambulant and fracture their hips: description of usual care and an alternative rehabilitation pathway. BMC Geriatr 2020; 20: 128.
  • 5. Cameron ID, Kurrle SE. Frailty and rehabilitation. Interdiscip Top Gerontol Geriatr 2015; 41: 137–150.
  • 6. World Health Organization. Rehabilitation 2030: a call for action. https://www.who.int/initiatives/rehabilitation-2030 (viewed June 2021).
  • 7. Cameron ID, Fairhall N, Langron C, et al. A multifactorial interdisciplinary intervention reduces frailty in older people: randomized trial. BMC Med 2013; 11: 65.
  • 8. Dyer SM, Standfield LB, Fairhall N, et al. Supporting community‐dwelling older people with cognitive impairment to stay at home: a modelled cost analysis. Australas J Ageing 2020; 39: e506–e514.
  • 9. Australian Institute of Health and Welfare. Trends in hospitalised injury due to falls in older people 2007–08 to 2016–17 (AIHW cat. no. INJCAT 206). Canberra: AIHW, 2019. https://www.aihw.gov.au/reports/injury/trends-in-hospitalised-injury-due-to-falls (viewed June 2021).
  • 10. Hopewell S, Adedire O, Copsey BJ, et al. Multifactorial and multiple component interventions for preventing falls in older people living in the community. Cochrane Database Syst Rev 2018; 7: CD012221.
  • 11. NSW Health. NSW rehabilitation model of care. Jan 2015. https://aci.health.nsw.gov.au/resources/rehabilitation/rehabilitation-model-of-care/rehabilitation-moc (viewed June 2021).
  • 12. Australian Department of Health. Transition care programme. Updated July 2021. https://www.health.gov.au/initiatives-and-programs/transition-care-programme (viewed July 2021).
  • 13. Australian Department of Health. Short Term Restorative Care (STRC) Programme. Updated July 2021. https://www.health.gov.au/initiatives-and-programs/short-term-restorative-care-strc-programme (viewed July 2021).
Online responses are no longer available. Please refer to our instructions for authors page for more information.

Pagination

Subscribe to