A distributional regression approach to income-related inequality of health in Australia

Out-of-pocket expenditure, need, utilisation, and private health insurance in the Australian healthcare system

Despite widespread public service provision, public funding, and private health insurance (PHI), 20% of all healthcare expenditure across the OECD is covered by out-of-pocket expenditure (OOPE). This creates an equity concern for the increasing number of individuals with chronic conditions and greater need, particularly if higher need coincides with lower income. Theoretically, individuals may mitigate OOPE risk by purchasing PHI, replacing variable OOPE with fixed expenditure on premiums. Furthermore, if PHI premiums are not risk-rated, PHI may redistribute some of the financial burden from less healthy PHI holders that have greater need to healthier PHI holders that have less need. We investigate if the burden of OOPE for individuals with greater need increases less strongly for individuals with PHI in the Australian healthcare system. The Australian healthcare system provides public health insurance with full, partial, or limited coverage, depending on the healthcare service used, and no risk rating of PHI premiums. Using data from the Household, Income and Labour Dynamics in Australia survey we find that individuals with PHI spend a greater share of their disposable income on OOPE and that the difference in OOPE share between PHI and non-PHI holders increases with greater need and utilisation, contrary to the prediction that PHI may mitigate OOPE. We also show that OOPE is a greater concern for poorer individuals for whom the difference in OOPE by PHI is the greatest.

Income-Related Peripheral Artery Disease Treatment: A Nation-Wide Analysis from 2009-2018

Economic status has a measurable and significant effect on cardiovascular health. Socioeconomic- and income-related disparities worsen cardiovascular risk factors. Peripheral artery disease (PAD) remains a major risk factor for morbidity and mortality. Not all patients benefit equally from recent advances in outpatient healthcare. The implementation of guideline recommendations regarding treatment is inadequate. Income-related disparities for PAD treatment are unknown. We aimed to analyse income-stratified PAD prevalence, outpatient treatment and pharmacotherapy. Associations of statutory health insurance physicians at the regional level, income-stratified PAD prevalence and differences in outpatient care and pharmacotherapy were analysed in 70.1 million statutorily insured patients/year between 2009 and 2018. Analysis was based on claims data (§295 of the social code (SGB V)) and drug-prescription data (§300 SGB V). The diagnosis of PAD was defined by ICD I70.2-9. Regional income data were derived from the German Census Bureau. PAD prevalence was higher in low-income than in high-income areas. Low-income patients more often presented to angiology outpatient care and more frequently received guideline recommended pharmacotherapy. High-income patients more often presented to outpatient vascular surgery. This was true for statins, antiplatelets, intermittent claudication and critical limb ischemia alike. These data indicate that PAD and income are associated. Regional income is related to insufficiencies in guideline-recommended treatment and contact to vascular specialists. Our results aim to encourage medical professionals to implement PAD guideline recommendations, especially in high-income areas. Further studies on associations between spatial-level income and healthcare in PAD are needed.

Income trajectories and self-rated health status in the UK

In line with the wide recognition of the connection between socioeconomic status and health outcomes, attention in the recent literature is extending the static perspective to the dynamic implications of income on health. This study contributes to the growing literature on the income-health nexus by evaluating income dynamics on various self-rated health measures in the UK. We explore the impact of different indicators of income experiences on self-rated health and wellbeing outcomes using data from the 11 Waves of Understanding Society UK Household Longitudinal Study between 2009 and 2019. First, we estimate a fixed-effects ordered logit model for various health and wellbeing measures, allowing us to control for unobserved time-invariant heterogeneity. Second, we evaluate the effects of income trajectories by linking longitudinal household income to cross-sectional health outcomes. Our results confirm the general evidence of positive impacts of increasing family income on health. Besides, we find that stability in income position is strongly associated with improved health and wellbeing. On the other hand, income volatility increases the odds of reporting poor health outcomes, particularly for those in low-income households. Also, more years spent in a lower-income quartile reduces the odds of reporting improved self-rated health. Finally, the significant difference in the estimated effects of income before and after 2016 highlights the significant shifts in the effects of income trajectories on self-reported health and wellbeing following the National Living Wage policy implementation.

•

The paper evaluates the impact of income trajectories on health and wellbeing outcomes.

•

Income stability is associated with increased likelihood of improved self-reported health.

•

Income volatility and low-income spells predicts poor health and wellbeing.

Global perceptions of the current and future impacts of COVID-19 on hereditary angioedema management

Background: The coronavirus disease 2019 (COVID-19) pandemic has greatly affected health-care provision across the globe. Management of chronic ailments has become challenging because of the strained health-care resources and social distancing measures that prevent on-site clinical visits and treatments. Hereditary angioedema (HAE) is a debilitating, chronic disease characterized by unpredictable swelling attacks in various parts of the body. Controlling HAE symptoms often requires long-term prophylactic medication use and regular medical care; however, limited scientific information has been published about HAE medical care during the COVID-19 pandemic. Objective: To gather patient and health-care professional (HCP) perspectives on the global impact that COVID-19 has had, and the future impact it will have on HAE medical care and to identify differences in perceptions across economic and geographic boundaries. Methods: We conducted two independent but similar online global surveys to capture patient and HCP perspectives on the impact that COVID-19 has had, and the future impact it will have on HAE medical care. Results: Both patients and HCPs globally reported that the pandemic has limited the availability of HAE medical care, and they expect the restrictions to continue far beyond the pandemic. In addition, the results of our study suggested that telehealth use has increased across the globe but has been more successfully implemented in high-income countries. Conclusion: Patients and HCPs expect that HAE-related care will be negatively impacted by the pandemic for many years. Disparities in medical care and technologic infrastructure may exacerbate these challenges in non-high-income countries. Supportive tools and global infrastructure should be established to provide aid to non-high-income countries throughout the pandemic and several years after.

Spatial patterns of avoidable fetal mortality and social deprivation

OBJECTIVE

To develop a social need index for stratification of municipalities and identification of priority areas for reducing fetal mortality.

METHODS

ecological study, carried out in the state of Pernambuco, between 2010 and 2017. The technique of factor analysis by main components was used for the elaboration of the social need index. In the spatial analysis, the local empirical Bayesian estimator was applied and Moran's spatial autocorrelation was verified.

RESULTS

The social deprivation index selected two factors that, together, explained 77.63% of the total variance. The preventable fetal mortality rate increased among strata of social need, with rates of 8.0 per thousand births (low deprivation), 8.1 per thousand (medium deprivation), 8.8 per thousand (high deprivation), and 10.7 per thousand (very high social deprivation). Some municipalities in the São Francisco and Sertão Mesoregions had both high fetal and preventable fetal mortality, in addition to a very high social deprivation rate. Conclusion: The spatial analysis identified areas with the highest risk for fetal mortality. The social deprivation index listed some determinants of fetal deaths in areas with worse living conditions. Priority areas for intervention in public policies to reduce fetal mortality and its determinants were detected.