Register      Login
Australian Health Review Australian Health Review Society
Journal of the Australian Healthcare & Hospitals Association
RESEARCH ARTICLE

Health in a ‘post-transition’ Australia: adding years to life or life to years?

Stephen J. Begg
+ Author Affiliations
- Author Affiliations

La Trobe Rural Health School, La Trobe University, PO Box 199, Bendigo, Vic. 3550, Australia. Email: s.begg@latrobe.edu.au

Australian Health Review 38(1) 1-5 https://doi.org/10.1071/AH13114
Submitted: 4 June 2013  Accepted: 16 October 2013   Published: 19 December 2013

Abstract

Objective To explore the likely impact of future trajectories of morbidity and mortality in Australia.

Methods Estimates of mortality and morbidity were obtained from a previous assessment of Australia’s health from 1993 to 2003, including projections to 2023. Outcomes of interest were the difference between life expectancy (LE0) and health-adjusted life expectancy (i.e. absolute lost health expectancy (ALHE0)), ALHE0 as a proportion of LE0 and the partitioning of changes in ALHE0 into additive contributions from changes in age- and cause-specific mortality and morbidity.

Results Actual and projected trajectories of mortality and morbidity resulted in an expansion of ALHE0 of 1.22 years between 1993 and 2023, which was equivalent to a relative expansion of 0.7% in morbidity over the life course. Most (93.8%) of this expansion was accounted for by cardiovascular disease, diabetes and cancer; of these, the only unfavourable trend of any note was increasing morbidity from diabetes.

Conclusions Time spent with morbidity will most likely increase in terms of numbers of years lived and as a proportion of the average life span. This conclusion is based on the expectation that gains in LE0 will continue to exceed gains in ALHE0, and has important implications for public policy.

What is known about the topic? Although the aging of Australia’s population as a result of declining birth and death rates is well understood, its relationship with levels of morbidity is not always fully appreciated. This is most noticeable in the policy discourse on primary prevention, in which such activities are sometimes portrayed as having unrealised potential with respect to alleviating growth in health service demand.

What does this paper add? This paper sheds new light on these relationships by exploring the likely impact of future trajectories of both morbidity and mortality within an additive partitioning framework. The results suggest a modest expansion of morbidity over the life course, most of which is accounted for by only three causes. In two of these (cardiovascular disease and cancer), the underlying trends in both mortality and morbidity have been favourable for some time due, at least in part, to success in primary prevention.

What are the implications for practitioners? Although there may be good arguments in favour of a greater focus on primary prevention as currently practiced, reducing overall demand for health services is unlikely to be one of them. To make such an argument valid, policy makers should consider shifting their attention to the effectiveness of primary prevention as it relates to causes other than cardiovascular disease and cancer, particularly those with a predominantly non-fatal impact, such as diabetes and degenerative diseases of old age.


References

[1]  Caldwell JC. Demography and social science. Popul Stud (Camb) 1996; 50 305–33.
Demography and social science.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD3MrosFGktA%3D%3D&md5=b675aff4a86c3b90489203058aa5c902CAS | 11618372PubMed |

[2]  Omran AR. The epidemiologic transition. A theory of the epidemiology of population change. Milbank Mem Fund Q 1971; 49 509–38.
The epidemiologic transition. A theory of the epidemiology of population change.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaE3s%2FkvVyltg%3D%3D&md5=bf8fea59d16cda431323fb6b6a83a1e0CAS | 5155251PubMed |

[3]  Caldwell JC. What we know about health transition: the cultural, social and behavioural determinants of health: the proceedings of an international workshop, Canberra, May 1989. Canberra: Health Transition Centre, Australian National University; 1990.

[4]  Frenk J, Bobadilla JL, Stern C, Frejka T, Lozano R. Elements for a theory of the health transition. Health Transit Rev 1991; 1 21–38.
| 1:STN:280:DyaK3sbgsVyrsg%3D%3D&md5=4d3a14767a854ff97f1a9ee74fdcb941CAS | 10148802PubMed |

[5]  Fries JF. Aging, natural death, and the compression of morbidity. N Engl J Med 1980; 303 130–5.
Aging, natural death, and the compression of morbidity.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaL3c3gvF2isw%3D%3D&md5=89c6de653f2cb16e90d2babfedd6e357CAS | 7383070PubMed |

[6]  Gruenberg EM. The failures of success. Milbank Mem Fund Q Health Soc 1977; 55 3–24.
The failures of success.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaE2s7pt1GhsQ%3D%3D&md5=73c0d25a522995a9a4524a3099b49f23CAS | 141009PubMed |

[7]  Olshansky SJ, Rudberg MA, Carnes BA, Cassel CK, Brody JA. Trading off longer life for worsening health: the expansion of morbidity hypothesis. J Aging Health 1991; 3 194–216.
Trading off longer life for worsening health: the expansion of morbidity hypothesis.Crossref | GoogleScholarGoogle Scholar |

[8]  Robine J-M. Determining health expectancies. Chichester: John Wiley; 2003.

[9]  Begg S, Vos T, Barker B, Stevenson C, Stanley L, Lopez A. The burden of disease and injury in Australia, 2003. Canberra: Australian Institute of Health and Welfare; 2007.

[10]  Begg SJ, Vos T, Barker B, Stanley L, Lopez AD. Burden of disease and injury in Australia in the new millennium: measuring health loss from diseases, injuries and risk factors. Med J Aust 2008; 188 36–40.
| 18205562PubMed |

[11]  Sullivan DF. A single index of mortality and morbidity. HSMHA Health Rep 1971; 86 347–54.
A single index of mortality and morbidity.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaE3M7ms1emug%3D%3D&md5=bd3eff57b5db85601afe0f2bb88025efCAS | 5554262PubMed |

[12]  Nusselder WJ, Looman CW. Decomposition of differences in health expectancy by cause. Demography 2004; 41 315–34.
Decomposition of differences in health expectancy by cause.Crossref | GoogleScholarGoogle Scholar | 15209043PubMed |

[13]  Begg S, Vos T, Goss J, Mann N. An alternative approach to projecting health expenditure in Australia. Aust Health Rev 2008; 32 148–55.
An alternative approach to projecting health expenditure in Australia.Crossref | GoogleScholarGoogle Scholar | 18241159PubMed |

[14]  Commonwealth of Australia. Taking preventative action – a response to Australia: the healthiest country by 2020. Report of the National Preventative Health Taskforce. Canberra: Commonwealth of Australia; 2010.