Register      Login
Australian Journal of Primary Health Australian Journal of Primary Health Society
The issues influencing community health services and primary health care
RESEARCH ARTICLE

Utilisation of Medicare-funded schemes for people with cardiovascular disease

Julie Redfern A B G , Karice Hyun A B , Emily Atkins A B , Clara Chow A B C , Tom Briffa D , Bindu Patel A B , Nick Zwar E , Tim Usherwood A B F , Qiang Li A , Anushka Patel A and David Peiris A B
+ Author Affiliations
- Author Affiliations

A The George Institute for Global Health, UNSW Sydney, NSW 2052, Australia.

B Sydney Medical School, University of Sydney, NSW 2006, Australia.

C Cardiology Department, Westmead Hospital, NSW 2145, Australia.

D School of Population Health, University of Western Australia, WA 6009, Australia.

E School of Medicine, University of Wollongong NSW 2522, Australia.

F Department of General Practice, Sydney Medical School Westmead, University of Sydney, Sydney, NSW 2006, Australia.

G Corresponding author. Email: jredfern@georgeinstitute.org.au

Australian Journal of Primary Health 23(5) 482-488 https://doi.org/10.1071/PY16166
Submitted: 21 December 2016  Accepted: 30 May 2017   Published: 27 July 2017

Abstract

The aim of this study is to investigate the utilisation of Medicare Benefit Scheme items for chronic disease in the management of cardiovascular disease (CVD) in general practice and to compare characteristics of CVD patients with and without a General Practice Management Plan (GPMP). Subgroup analysis of Treatment of Cardiovascular Risk using Electronic Decision Support (TORPEDO) baseline data was collected in a cohort comprising 6123 patients with CVD. The mean age (s.d.) was 71 (±13) years, 55% were male, 64% had a recorded diagnosis of coronary heart disease, 31% also had a diagnosis of diabetes and the mean number of general practice (GP) visits (s.d.) was 11 (±9) in 12 months. A total of 1955/6123 (32%) received a GPMP in the 12 months before data extraction; 1% received a Mental Health Plan. Factors associated with greater likelihood of receiving a GPMP were: younger age, had a diagnosis of diabetes, BMI > 30 kg m–2, prescription of blood pressure-lowering therapy and more than ten general practice visits. Enhancing utilisation of existing schemes could augment systematic follow up and support of patients with CVD.


References

Anderson KM, Wilson PW, Odell PM, Kannel WB (1991) An updated coronary risk profile. A statement for health professionals. Circulation 83, 356–362.
An updated coronary risk profile. A statement for health professionals.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaK3M%2FosV2ktw%3D%3D&md5=77ec8b7d868ada3880ebf37ecfada4ddCAS |

Aroney CN, Aylward P, Kelly AM, Chew DPB, Clune E (2006) Guidelines for the management of acute coronary syndromes 2006. The Medical Journal of Australia 184, S1–S30.

Blakeman TM, Zwar NA, Harris MF (2002) Evaluating general practitioners’ views on the enhanced primary care items for care planning and case conferencing: a one year follow up. Australian Family Physician 31, 582–585.

Briffa TG, Hobbs MS, Tonkin A, Sanfilippo FM, Hickling S, Ridout SC, Knuiman M (2011) Population trends of current coronary heart disease event rates remain high. Circulation: Cardiovascular Quality and Outcomes 4, 107–113.
Population trends of current coronary heart disease event rates remain high.Crossref | GoogleScholarGoogle Scholar |

Britt H, Miller GC, Bayram C, Henderson J, Valenti L, Harrison C, Pan Y, Charles J, Pollack AJ, Chambers T, Gordon J, Wong C (2015) A decade of Australian general practice activity 2006–07 to 2015–16. General practice series number 41. (Sydney University Press: Sydney, NSW, Australia)

Chow CK, Jolly S, Rao-Melacini P, Fox KA, Anand SS, Yusuf S (2010) Association of diet, exercise, and smoking modification with risk of early cardiovascular events after acute coronary syndromes. Circulation 121, 750–758.
Association of diet, exercise, and smoking modification with risk of early cardiovascular events after acute coronary syndromes.Crossref | GoogleScholarGoogle Scholar |

Clark AM, Hartling L, Vandermeer B, McAlister FA (2005) Meta-analysis: secondary prevention programs for patients with coronary artery disease. Annals of Internal Medicine 143, 659–672.
Meta-analysis: secondary prevention programs for patients with coronary artery disease.Crossref | GoogleScholarGoogle Scholar |

Comino EJ, Islam MF, Tran DT, Jorm L, Flack J, Jalaludin B, Haas M, Harris MF (2015) Association of processes of primary care and hospitalisation for people with diabetes: a record linkage study. Diabetes Research and Clinical Practice 108, 296–305.
Association of processes of primary care and hospitalisation for people with diabetes: a record linkage study.Crossref | GoogleScholarGoogle Scholar |

Deloitte Access Economics (2011) ACS in perspective: the importance of secondary prevention. (Deloitte Access Economics: Canberra, ACT, Australia) Available at https://www.deloitteaccesseconomics.com.au/uploads/File/Final%20Report%20ACS%20in%20Perspective%20Nov%202011.pdf [Verified 18 July 2017]

Department of Health (2013) National primary health care strategic framework primary health care in Australia. Australia’s health series number 14. Catalogue number AUS 178. Australian Institute of Health and Welfare, Canberra, ACT, Australia.

Department of Health (2015) Medicare Benefits schedule book. Commonwealth of Australia 2015. Publications approval number 10934. Australian Government, Department of Health, Canberra, ACT, Australia.

Department of Health (2016) Consultation paper: redesigning the practice incentive program. Commonwealth of Australia, 2016. Publications approval number: 11670. Australian Government, Department of Health, Canberra, ACT, Australia.

Holden L, Williams ID, Patterson E, Smith J, Scuffham PA, Cheung L, Chambers R, Golenko XA, Weare R (2012) Uptake of Medicare chronic disease management incentives: a study into service providers’ perspectives. Australian Family Physician 41, 973–977.

Hyun K, Brieger D, Chow CK, Ilton M, Amos D, Alford NK, Roberts-Thomson P, Santo K, Atkins E, Redfern J (2016) Impact of medical consultations frequency on risk factors and medications at six months after acute coronary syndrome. Public Health Research & Practice 26, e2611606
Impact of medical consultations frequency on risk factors and medications at six months after acute coronary syndrome.Crossref | GoogleScholarGoogle Scholar |

Infante FA, Proudfoot JG, Davies GP, Bubner TK, Holton CH, Beilby JJ, Harris MF (2004) How people with chronic illnesses view their care in general practice: a qualitative study. The Medical Journal of Australia 181, 70–73.

McDonald J, Cumming J, Harris MF, Davies GP, Burns P (2006) Systematic review of system-wide models of comprehensive primary health care. Research Centre for Primary Health Care and Equity, School of Public Health and Community Medicine, UNSW: Sydney, NSW, Australia.

Mitchell GK, Tieman JJ, Shelby-James TM (2008) Multidisciplinary care planning and teamwork in primary care. The Medical Journal of Australia 188, S61–S64.

Peiris D, Usherwood T, Panaretto K, Harris M, Hunt J, Patel B, Zwar N, Redfern J, MacMahon S, Colagiuri S, Hayman N, Patel A (2012) The treatment of cardiovascular risk in primary care using electronic decision support (TORPEDO) study – protocol for a cluster randomised, controlled trial of an electronic decision support and quality improvement intervention in Australian primary health care. BMJ Open 2, e002177
The treatment of cardiovascular risk in primary care using electronic decision support (TORPEDO) study – protocol for a cluster randomised, controlled trial of an electronic decision support and quality improvement intervention in Australian primary health care.Crossref | GoogleScholarGoogle Scholar |

Peiris D, Agaliotis M, Patel B, Patel A (2013) Validation of a general practice audit and data extraction tool. Australian Family Physician 42, 816–819.

Peiris D, Usherwood T, Panaretto P, Harris M, Hunt J, Redfern J, Zwar N, Colagiuri S, Hayman N, Lo S, Patel B, Lyford M, MacMahon S, Neal B, Sullivan D, Cass A, Jackson R, Patel A (2015) Effect of a computer-guided, quality improvement program for cardiovascular disease risk management in primary health care: the Treatment of Cardiovascular Risk Using Electronic Decision Support cluster-randomized trial. Circulation: Cardiovascular Quality and Outcomes 8, 87–95.
Effect of a computer-guided, quality improvement program for cardiovascular disease risk management in primary health care: the Treatment of Cardiovascular Risk Using Electronic Decision Support cluster-randomized trial.Crossref | GoogleScholarGoogle Scholar |

Perel P, Avezum A, Huffman M, Pais P, Rodgers A, Vedanthan R, Wood D, Yusuf S (2015) Reducing premature cardiovascular morbidity and mortality in people with atherosclerotic vascular disease: the World Heart Federation roadmap for secondary prevention of cardiovascular disease. Global Heart 10, 99–110.
Reducing premature cardiovascular morbidity and mortality in people with atherosclerotic vascular disease: the World Heart Federation roadmap for secondary prevention of cardiovascular disease.Crossref | GoogleScholarGoogle Scholar |

Rasmussen JN, Chong A, Alter DA (2007) Relationship between adherence to evidence-based pharmacotherapy and long-term mortality after acute myocardial infarction. Journal of the American Medical Association 297, 177–186.
Relationship between adherence to evidence-based pharmacotherapy and long-term mortality after acute myocardial infarction.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2sXksVyisA%3D%3D&md5=c6dfae0cb09543e078ee8dd9904dcd24CAS |

Redfern J, Chow C (2013) Secondary prevention of coronary heart disease in Australia: a blueprint for reform. The Medical Journal of Australia 198, 70–71.
Secondary prevention of coronary heart disease in Australia: a blueprint for reform.Crossref | GoogleScholarGoogle Scholar |

Redfern J, Menzies M, Briffa T, Freedman SB (2010) Impact of medical consultation frequency on modifiable risk factors and medications at 12 months after acute coronary syndrome in the CHOICE randomised controlled trial. International Journal of Cardiology 145, 481–486.
Impact of medical consultation frequency on modifiable risk factors and medications at 12 months after acute coronary syndrome in the CHOICE randomised controlled trial.Crossref | GoogleScholarGoogle Scholar |

Redfern J, Maiorana A, Neubeck L, Clark AM, Briffa T (2011) Achieving coordinated secondary prevention of coronary heart disease for all in need (SPAN). International Journal of Cardiology 146, 1–3.
Achieving coordinated secondary prevention of coronary heart disease for all in need (SPAN).Crossref | GoogleScholarGoogle Scholar |

Steg PG, James SK, Atar D, Badano LP, Blomstrom Lundqvist C, Borger MA, Di Mario C, Dickstein K, Ducrocq G (2012) ESC guidelines for the management of acute myocardial infarction in patients presenting with ST segment elevation: the task force on the management of ST-segment elevation acute myocardial infarction of the European Society of Cardiology (ESC). European Heart Journal 33, 2569–2619.
ESC guidelines for the management of acute myocardial infarction in patients presenting with ST segment elevation: the task force on the management of ST-segment elevation acute myocardial infarction of the European Society of Cardiology (ESC).Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38XhsFektbrE&md5=e6941ce4bf206d56fee421b68eb75e90CAS |

World Health Organization (2014) The top 10 cause of death. Fact Sheet number 310. Updated May 2014. World Health Organisation: Geneva, Switzerland. Available at http://www.who.int/mediacentre/factsheets/fs310/en/ [Verified 18 July 2017]

Zwar NA, Hermiz O, Comino EJ, Shortus T, Burns J, Harris MF (2007) Do multidisciplinary care plans result in better care for type 2 diabetes? Australian Family Physician 36, 85–89.