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Objectives: To quantify need-adjusted socioeconomic inequalities in medical and non-medical ambulatory health care in Australia and to examine the effects of specific interventions, namely concession cards and private health insurance (PHI), on equity. Methods: We used data from a 2004 survey of 10,905 Australian women aged 53 to 58 years. We modelled the association between socio-economic status and health service use--GPs, specialists, hospital doctors, allied and alternative health practitioners, and dentists--adjusting for health status and other confounding variables. We quantified inequalities using the relative index of inequality (RII) using Poisson regression. The contribution of concession cards and PHI in promoting equity/inequity was examined using mediating models. Results: There was equality in the use of GP services, but socio-economically advantaged women were more likely than disadvantaged women to use specialist (RII=1.41,95% CI:1.26-1.58), allied health (RII=1.21,1.12-1.30), alternative health (RII=1.29,1.13-1.47) and dental services (RII=1.61,1.48-1.75) after adjusting for need, and they were less likely to visit hospital doctors (RII=0.74,0.57-0.96). Concession cards reduced socio-economic inequality in GP but not specialist care. Inequality in dental and allied health services was partly explained by inequalities in PHI. Conclusions and implications: Substantial socio-economic inequity exists in use of specialist and non-medical ambulatory care in Australia. This is likely to exacerbate existing health inequalities, but is potentially amenable to change. Key words: health care inequalities, socioeconomic status, ambulatory care. doi: 10.1111/j.1753-6405.2009.00430.x

Objective: To measure utilisation of Enhanced Primary Care (EPC) health assessment items for women aged 75 years and over, and to describe health and socio-demographic characteristics of users and non-users. Method: Analysis of longitudinal survey and Medicare claims data from women in the Australian Longitudinal Study on Women's Health (ALSWH) aged 75 to 78 years when EPC items were introduced and who provided permission to access their Medicare records for the period 1999-2003 (n=4,646). Results: There was an increase in uptake of assessments over four years: from November 1999, 12% of eligible women had a health assessment during the following year; by October 2003, 49% had at least one health assessment ever. Few had repeat assessments. Women who visited a GP more often and who were satisfied with the number of GPs available were more likely to have an assessment in the first 12 months, and women who visited a GP more often, those taking more medications, and those caring for another were more likely to have at least one assessment in four years. Women in smaller rural and remote areas were less likely to have an assessment than women in urban areas. Conclusions: Most women are not having annual assessments and there is some geographic inequity. Key words: Health assessment, health care utilisation, ageing, rural.

Objective: To describe the risk factors for various types of attrition in three age cohorts of women in a longitudinal study and to discuss strategies to minimise attrition. Methods: Analysis of survey data from the Australian Longitudinal Study on Women's Health, collected by mailed questionnaire. In 1996, the study recruited and surveyed a national random sample of 'younger' (18-23 years, n=14,247), 'mid-age' (45-50 years, n=13,716), and 'older' women (70-75 years, n=12,432), and began a staggered cycle of mailed follow-up questionnaires: 1998 (mid-age), 1999 (older), 2000 (younger) and so on. Demographic, health and social risk factors for attrition were examined using multivariate analysis. Results: Attrition at survey 2 was highest among younger women (32%), mainly because of participants not being contactable (21%), and lower among the older (16%) and mid-age women (10%). At survey 1, the survey 2 non-respondents were more likely to report having less education, being born in a non-English-speaking country and being a current smoker, in all cohorts, and had poorer health (mid-age and older cohort) and more difficulty managing on their income (younger and mid-age). Conclusion: Although the magnitude of different types of attrition was found to differ by age, there were several risk factors for attrition that remained consistent. These findings are important to inform future studies on ways to lessen or prevent systematic loss of participants. Implications: Recruitment and follow-up methods in longitudinal studies should be tailored to maximise retention of participants at higher risk of dropout.

Objective: To assess geographical equity in the availability, accessibility and out-of-pocket costs of general practitioner (GP) services for women in Australia. Method: Data on general practice consultations during 1995 and 1996 for women aged 18-23 years (n = 5,260), 45-50 years (n = 7,898) and 70-75 years (n = 6,542) in the Australian Longitudinal Study on Women's Health were obtained from the Health Insurance Commission. A sub-study of 4,577 participants provided data on access to health services. Results: Older women were more likely to have no out-of-pocket costs for their GP consultations, but in all age groups, the proportion was lower in rural areas than in urban areas (older age: 60% rural areas, 76% capital cities; mid-age: 24% rural areas, 40% capital cities; young age: 35% rural areas, 52% capital cities). Among mid-aged women, the median out-of-pocket cost per consultation ranged from $2.11 in capital cities to $6.48 in remote areas. Women living in rural and remote areas gave lower ratings for the availability, accessibility and affordability of health services than women living in urban areas. Conclusions: This study has shown a striking gradient in financial and nonfinancial barriers to health care associated with area of residence. Implication: The geographical imbalance in the supply and distribution of GP services in Australia has long been recognised but inequities in the affordability of services must also be addressed. Longitudinal survey data and Health Insurance Commission data provide a means to evaluate policies designed to improve access to health services in rural and remote areas.