Widening health inequalities between the employed and the unemployed: A decomposition of trends in Canada (2000-2014)

Bridging geographical disparities across 368 townships with healthcare system and socioeconomic factors in Taiwan

A universal health insurance program such as the National Health Insurance in Taiwan offers a wide coverage and increased access to healthcare services. Despite its ongoing efforts to enhance healthcare accessibility, differences in health for people living in urban and resource-deprived areas remain substantial. To investigate the longitudinal impact of the healthcare system and other potential structural drivers such as education and economic development on geographical disparities in health, we designed a panel study with longitudinal open secondary data, covering all 368 townships in Taiwan between 2013 and 2017. Our findings indicated higher mortality rates in the mountainous and rural areas near the east and south regions of the island in both years. Multivariate analyses showed an increase in the density of primary care physicians (PCP) was associated with lower all-cause mortality (β = - 0.72, p < 0.0001) and cardiovascular disease mortality (β = - 0.41, p < 0.0001). Effect of PCP is evident, but merely focusing on access to healthcare is still not enough. Additional measures are warranted to address the health disparities existing between urban and underprivileged areas.

Changes in disability over time among older working-age adults: Which global and specific limitations are increasing in Germany using the SHARE-data from 2004 to 2015?

Objectives

Previous studies have observed increasing limitations among the middle-aged, including those aged 40-64, raising the question how healthy work participation has changed. Helping answer this question, we ask: How have general and specific limitations changed in working and non-working adults in Germany?

Methods

We used population-based data of older working-age adults, aged 50-64 years old, from Germany provided by the Survey of Health Aging and Retirement (SHARE) study from 2004 to 2014 (N = 3522). Multiple logistic regression analyses were used to study changes in limitations over time.

Results

We found that employment rates generally increased over time, whereas limitation rates mostly increased among participants aged 50-54 and mostly decreased among participants aged 60-64 in both the working and non-working population. Regarding type of disability, increases were more pronounced with movement-related and general activity-related limitations.

Conclusion

Therefore, if the comparatively younger more-limited cohorts age and replace the older less-limited cohorts, a larger part of the working and non-working life might be expected to be spent with limitations in the future, and it seems questionable whether further substantial increases in healthy work participation can be achieved. Further prevention efforts and assistance should be directed at current middle-aged cohorts to improve and maintain their health, including adapting current working conditions to a work force with more limitations.

Looking back and moving forward: Addressing health inequities after COVID-19

We will likely look back on 2020 as a turning point. The pandemic put a spotlight on existing societal issues, accelerated the pace of change in others, and created some new ones too. For example, concerns about inequalities in health by income and race are not new, but they became more apparent to a larger number of people during 2020. The speed and starkness of broadening societal conversation, including beyond the direct effects of COVID-19, create an opportunity and motivation to reassess our understanding of health. Perhaps more importantly, it is an opportunity to reduce inequities in who has access to, who uses, and who benefits from the resources that promote health and well-being. To this end, we offer three questions to guide thinking about health and health inequities after 2020: (1) what do we mean by "health" and "health inequality and inequity"? (2) what are the structures and policies we put in place to support or promote health, and how effective are they? And (3) who has the power to shape structures and policies, and whose interests do those structures and policies serve?

Income-related inequalities in unmet dental care needs in Spain: traces left by the Great Recession

BACKGROUND

Dental health is an important component of general health. Socioeconomic inequalities in unmet dental care needs have been identified in the literature, but some knowledge gaps persist. This paper tries to identify the determinants of income-related inequality in unmet need for dental care and the reasons for its recent evolution in Spain, and it inquires about the traces left by the Great Recession.

METHODS

Data from the EU-SILC forming a decade (2007-2017) were used. Income-related inequalities for three years were measured by calculating corrected concentration indices (CCI), which were further decomposed in order to compute the contribution of different factors to inequality. An Oaxaca-type decomposition approach was also used to analyze the origin of changes over time. Men and women were analyzed separately.

RESULTS

Pro-rich inequality in unmet dental care needs significantly increased over time (CCI 2007: - 0.0272 and - 0.0334 for males and females, respectively; CCI 2017: - 0.0704 and - 0.0776; p < 0.001). Inequality showed a clear "pro-cycle" pattern, growing during the Great Recession and starting to decrease just after the economic recovery began. Gender differences only were significant for 2009 (p = 0.004) and 2014 (p = 0.063). Income was the main determinant of inequality and of its variation along time -particularly for women-, followed by far by unemployment -particularly for men-; the contributions of both were mainly due to changes in elasticites.

CONCLUSIONS

The Great Recession left its trace in form of a higher inequality in the access to dental care. Also, unmet need for dental care, as well as its inequality, became more sensitive to the ability to pay and to unemployment along recent years. To broaden public coverage of dental care for vulnerable groups, such as low-income/unemployed people with high oral health needs, would help to prevent further growth of inequality.

Changes in income-related inequalities in cervical cancer screening during the Spanish economic crisis: a decomposition analysis

BACKGROUND

Cervical cancer is one of the most prevalent cancers, but it may be prevented by early detection. Social inequalities in the use of cytology testing have been identified in the literature. However, the degree of income-related inequality has not been quantified and determinants of inequality changes during the economic crisis remain unknown.

METHODS

Using the Spanish National Health Surveys (2006-07 / 2011-12), we analyzed how income-related inequalities in the use of cervical cancer screening for women aged 25-64 changed across the economic crisis. We used corrected concentration indices (CCI) which were further decomposed in order to compute the contribution of the explanatory variables. An Oaxaca-type approach was employed to investigate the origin of changes over time.

RESULTS

Our final sample consisted of 10,743 observations in 2006-07 and 6587 in 2011-12. Despite the higher prevalence of screening over time (from 73.9 to 77.9%), pro-rich inequality significantly increased (from CCI = 0.1726 to CCI = 0.1880, p < 0.001). Income was the main determinant of inequality in cervical screening, although its contribution decreased over time, as well as the contribution of the type of health insurance, mainly due to changes in elasticity. Other factors, such as nationality or the educational level, seem to have played an important role in the increase of pro-rich inequality of cytology testing.

CONCLUSIONS

Reducing cervical screening inequalities would require actions focused on most vulnerable groups such as migrants, low income and low educated population. The implementation of population-based screening programs would also help to cope with income-related inequalities in cytology testing.