Linc Thurecht

Distributional impact of recent changes in private health insurance policies

The impacts of changes to private health insurance (PHI) policies introduced since 1999 - in particular the 30% PHI rebate and the Lifetime Health Cover - have been much debated. We present historical analyses of the impacts in terms of the proportion of Australians having hospital insurance cover under different PHI policies, by age, gender and socioeconomic status, and project these to 2010 using a new Private Health Insurance coverage model. The combined effect of the 30% rebate and Lifetime Health Cover was to increase PHI membership from just over 30% in 1998 to just under 50% by the end of 2000, due mainly to more people taking out PHI cover from among the richest 20% of the population. Among the poorest 40% the impact was minimal. Model projections suggested that, had the new PHI policies not been introduced, then the proportion of Australians with PHI would have declined to around 20% by 2010, compared with 40% if the current arrangements remained in place. Also, analysis of 2001 survey data regarding choices to use a public or a private hospital indicated that higher income groups with or without PHI were the more likely to have used a private hospital than lower income groups. Among those with PHI, older people were more likely to have used a private hospital than younger ones.

Social Exclusion, Deprivation and Child Health: a Spatial Analysis of Ambulatory Care Sensitive Conditions in Children Aged 0-4 years in Victoria, Australia

Recent Australian policy initiatives regarding primary health care focus on planning services around community needs and delivering these at the local area. As in many other countries, there has also been a growing concern over social inequities in health outcomes. The aims of the analysis presented here were firstly to describe small area variations in hospital admissions for ambulatory care sensitive conditions (ACSC) among children aged 0-4 years between 2003 and 2009 in the state of Victoria, Australia, and secondly to explore the relationship of ACSC hospitalisations with socio-economic disadvantage using a comparative analysis of the Child Social Exclusion (CSE) index and the Composite Score of Deprivation (CSD). This is a cross sectional secondary data analysis, with data sourced from 2003 to 2009 ACSC data from the Victorian State Government Department of Health; the Australian Standard Geographical Classification of remoteness; the Australian 2006 Census of Population and Housing; and AMPCo General Practitioner data from 2010. The relationship between the indexes and child health outcomes was examined through bivariate analysis and visually through a series of maps. The results show there is significant variation in the geographical distribution of the relationship between ACSCs and socio-economic disadvantage, with both indexes capturing important social gradients in child health conditions. However, measures of access, such as geographical accessibility and workforce supply, detect additional small area variation in child health outcomes. This research has important implications for future primary health care policy and planning of services, as these findings confirm that not all areas are the same in terms of health outcomes, and there may be benefit in tailoring mechanisms for identifying areas of need depending on the outcome intended to be affected.

Hospital admissions by socio‐economic status: does the Inverse care law‘ apply to older Australians?

Objective: To investigate whether the ‘inverse care law’ applies to New South Wales (NSW) hospital admissions ‐ especially to older people with high socio‐economic status (SES).

Hospital admissions in the National Health Survey and hospital separations in the National Hospital Morbidity Dataset: What is the difference?

Objective: To compare the National Health Survey (NHS) derived estimates of hospital admissions with the number of hospital separations registered in the National Hospital Morbidity Dataset (NHMD).

Is the self-reported private health insurance status in the National Health Survey representative of private health insurance coverage in Australia?

Objective: This study determines whether the distribution of self‐reported private health insurance (PHI) status in the 2004/05 National Health Survey (NHS) is representative of PHI coverage in Australia.