An investigation of inequalities in exposure to PM2.5 air pollution across small areas in Ireland.

The link between exposure to air pollution and adverse effects on human health is well documented. Yet, in a European context, research on the spatial distribution of air pollution and the characteristics of areas is relatively scarce, and there is a need for research using different spatial scales, a wider variety of socioeconomic indicators (such as ethnicity) and new methodologies to assess these relationships. This study uses comprehensive data on a wide range of demographic and socioeconomic indicators, matched to data on PM2.5 concentrations for small areas in Ireland, to assess the relationship between social vulnerability and PM2.5 air pollution. Examining a wide range of socioeconomic indicators revealed some differentials in PM2.5 concentration levels by measure and by rural and urban classification. However, statistical modelling using concentration curves and concentration indices did not present substantial evidence of inequalities in PM2.5 concentrations across small areas. In common with other western European countries, an overall decline in the levels of PM2.5 between 2011 and 2016 was observed in Ireland, though the data indicates that almost all small areas in Ireland were found to have exceeded the World Health Organization (WHO)'s PM2.5 annual guideline (of 5 µg/m3), calling for greater policy efforts to reduce air pollution in Ireland. The recent Clean Air Strategy contains a commitment to achieve the WHO guideline limits for PM2.5 by 2040, with interim targets at various points over the next two decades. Achieving these targets will require policy measures to decarbonise home heating, promote active travel and the transition to electric vehicles, and further regulations on burning fossil fuels and enforcing environmental regulations more tightly. From a research and information-gathering perspective, installing more monitoring stations at key points could improve the quality and spatial dimension of the data collected and facilitate the assessment of the implementation of the measures in the Clean Air Strategy.

Long-term exposure to PM2.5 air pollution and mental health: a retrospective cohort study in Ireland.

BACKGROUND: Mental illness is the leading cause of years lived with disability, and the global disease burden of mental ill-health has increased substantially in the last number of decades. There is now increasing evidence that environmental conditions, and in particular poor air quality, may be associated with mental health and wellbeing. METHODS: This cross-sectional analysis uses data on mental health and wellbeing from The Irish Longitudinal Study on Ageing (TILDA), a nationally representative survey of the population aged 50+ in Ireland. Annual average PM2.5 concentrations at respondents' residential addresses over the period 1998-2014 are used to measure long-term exposure to ambient PM2.5. RESULTS: We find evidence of associations between long-term exposure to ambient PM2.5 and depression and anxiety. The measured associations are strong, and are comparable with effect sizes for variables such as sex. Effects are also evident at relatively low concentrations by international standards. However, we find no evidence of associations between long-term ambient particulate pollution and other indicators of mental health and well-being such as stress, worry and quality of life. CONCLUSIONS: The measured associations are strong, particularly considering the relatively low PM2.5 concentrations prevailing in Ireland compared to many other countries. While it is estimated that over 90 per cent of the world's population lives in areas with annual mean PM2.5 concentrations greater than 10 µg/m3, these results contribute to the increasing evidence that suggests that harmful effects can be detected at even low levels of air pollution.

Formal health care costs among older people in Ireland: methods and estimates using The Irish Longitudinal Study on Ageing (TILDA).

Background: Reliable data on health care costs in Ireland are essential to support planning and evaluation of services. New unit costs and high-quality utilisation data offer the opportunity to estimate individual-level costs for research and policy. Methods: Our main dataset was The Irish Longitudinal Study on Ageing (TILDA). We used participant interviews with those aged 55+ years in Wave 5 (2018) and all end-of-life interviews (EOLI) to February 2020. We weighted observations by age, sex and last year of life at the population level. We estimated total formal health care costs by combining reported usage in TILDA with unit costs (non-acute care) and public payer reimbursement data (acute hospital admissions, medications). All costs were adjusted for inflation to 2022, the year of analysis. We examined distribution of estimates across the population, and the composition of costs across categories of care, using descriptive statistics. We identified factors associated with total costs using generalised linear models. Results: There were 5,105 Wave 5 observations, equivalent at the population level to 1,207,660 people aged 55+ years and not in the last year of life, and 763 EOLI observations, equivalent to 28,466 people aged 55+ years in the last year of life. Mean formal health care costs in the weighted sample were EUR 8,053; EUR 6,624 not in the last year of life and EUR 68,654 in the last year of life. Overall, 90% of health care costs were accounted for by 20% of users. Multiple functional limitations and proximity to death were the largest predictors of costs. Other factors that were associated with outcome included educational attainment, entitlements to subsidised care and serious chronic diseases. Conclusions: Understanding the patterns of costs, and the factors associated with very high costs for some individuals, can inform efforts to improve patient experiences and optimise resource allocation.

The effect of "smoky" coal bans on chronic lung disease among older people in Ireland.

Globally, coal is still widely used for heating. However, there are concerns about its effect on ambient air quality and health. We estimated the effect of bans prohibiting the sale and use of so-called "smoky coal" on the prevalence of chronic lung disease in older people. Our identification strategy relied on the phased extension of smoky coal bans to Irish towns after 2010. We examined five waves of The Irish Longitudinal Study on Ageing (TILDA), a large nationally representative survey containing detailed information on health, housing, and socio-economic status. Controlling for relevant factors, smoky coal bans reduced the probability that an older person reports being diagnosed with chronic lung disease by between three and five percentage points. In models where we estimated the effect of the ban on the incidence of new cases of chronic lung disease, rather than existing cases, we found the effect was between -0.96 and -2.5 percentage points. Our findings were robust to estimating the model using different sub-samples and control variables. Furthermore, to address potential endogeneity of the ban, we examined subsamples defined by whether participants lived in towns within a range of the population threshold at which the ban was imposed. Estimating our model using these subsamples showed a consistently negative effect of the ban. We also showed parallel trends in health outcomes before the treatment, and that the treatment did not affect attrition from the sample.

Perinatal mortality in Ireland: inequalities by socio-economic group and country of birth.

BACKGROUND: While perinatal mortality rates have decreased in Ireland in recent years, it is not known if this reduction was shared equally among all groups. The aim of this study is to examine inequalities in perinatal mortality by country of birth and socio-economic group in Ireland between 2004 and 2019. METHODS: Data for the analysis was obtained from the National Perinatal Reporting System dataset, which includes all births (including stillbirths) in Ireland. The rate and risk ratios for perinatal death were calculated for mothers' socio-economic group and country of birth for two time periods (2004-11 and 2012-19). Adjustment was made for mothers' age, marital status, parity and country of birth/socio-economic group. A total of 995 154 births and 5710 perinatal deaths were included in the analysis. RESULTS: With the exception of African born mothers, the perinatal mortality rate decreased for all groups over time; however, inequalities persisted. Relative to Irish born mothers, the risk for African born mothers increased from 1.63 to 2.00 over time. Adjusting for other variables including socio-economic status reduced but did not eliminate this elevated relative risk. Mothers who were classified as unemployed or engaged in home duties had a higher risk of a perinatal death relative to higher professional mothers, with the relative risk remaining relatively constant over time. CONCLUSIONS: Reducing inequalities in health is a key objective of the Irish government. Further research is required to identify why perinatal mortality continues to be higher in some groups so that targeted action can be implemented.

Overprescribing among older people near end of life in Ireland: Evidence of prevalence and determinants from The Irish Longitudinal Study on Ageing (TILDA).

International evidence shows that people approaching end of life (EOL) have high prevalence of polypharmacy, including overprescribing. Overprescribing may have adverse side effects for mental and physical health and represents wasteful spending. Little is known about prescribing near EOL in Ireland. We aimed to describe the prevalence of two undesirable outcomes, and to identify factors associated with these outcomes: potentially questionable prescribing, and potentially inadequate prescribing, in the last year of life (LYOL). We used The Irish Longitudinal Study on Ageing, a biennial nationally representative dataset on people aged 50+ in Ireland. We analysed a sub-sample of participants with high mortality risk and categorised their self-reported medication use as potentially questionable or potentially inadequate based on previous research. We identified mortality through the national death registry (died in <365 days versus not). We used descriptive statistics to quantify prevalence of our outcomes, and we used multivariable logistic regression to identify factors associated with these outcomes. Of 525 observations, 401 (76%) had potentially inadequate and 294 (56%) potentially questionable medications. Of the 401 participants with potentially inadequate medications, 42 were in their LYOL. OF the 294 participants with potentially questionable medications, 26 were in their LYOL. One factor was significantly associated with potentially inadequate medications in LYOL: male (odds ratio (OR) 4.40, p = .004) Three factors were associated with potentially questionable medications in LYOL: male (OR 3.37, p = .002); three or more activities of daily living (ADLs) (OR 3.97, p = .003); and outpatient hospital visits (OR 1.03, p = .02). Thousands of older people die annually in Ireland with potentially inappropriate or questionable prescribing patterns. Gender differences for these outcomes are very large. Further work is needed to identify and reduce overprescribing near EOL in Ireland, particularly among men.

Predicting mortality in The Irish Longitudinal Study on Ageing (TILDA): development of a four-year index and comparison with international measures.

OBJECTIVES: We aimed to replicate existing international (US and UK) mortality indices using Irish data. We developed and validated a four-year mortality index for adults aged 50 + in Ireland and compared performance with these international indices. We then extended this model by including additional predictors (self-report and healthcare utilization) and compared its performance to our replication model. METHODS: Eight thousand one hundred seventy-four participants in The Irish Longitudinal Study on Ageing were split for development (n = 4,121) and validation (n = 4,053). Six baseline predictor categories were examined (67 variables total): demographics; cardiovascular-related illness; non-cardiovascular illness; health and lifestyle variables; functional variables; self-report (wellbeing and social connectedness) and healthcare utilization. We identified variables independently associated with four-year mortality in the development cohort and attached these variables a weight according to strength of association. We summed the weights to calculate a single index score for each participant and evaluated predicted accuracy in the validation cohort. RESULTS: Our final 14-predictor (extended) model assigned risk points for: male (1pt); age (65-69: 2pts; 70-74: 4 pts; 75-79: 4pts; 80-84: 6pts; 85 + : 7pts); heart attack (1pt); cancer (3pts); smoked past age 30 (2pts); difficulty walking 100 m (2pts); difficulty using the toilet (3pts); difficulty lifting 10lbs (1pts); poor self-reported health (1pt); and hospital admission in previous year (1pt). Index discrimination was strong (ROC area = 0.78). DISCUSSION: Our index is predictive of four-year mortality in community-dwelling older Irish adults. Comparisons with the international indices show that our 12-predictor (replication) model performed well and suggests that generalisability is high. Our 14-predictor (extended) model showed modest improvements compared to the 12-predictor model.

Public health insurance and mortality in the older population: Evidence from the Irish Longitudinal Study on Ageing.

Most developed countries provide publicly-financed insurance for many health services for their populations although there is considerable variation across countries in the types of services covered, eligible population groups and whether co-payments are levied. The Irish healthcare system, with a complex mix of public and private financing of healthcare services, offers a useful case study for an examination of the impact of type of health insurance cover on population health. In this paper, we investigate the extent to which type of health insurance cover is associated with all-cause, cause-specific, and amenable mortality using data on a representative survey of the population aged 50+ from the Irish Longitudinal Study on Ageing (TILDA) matched to administrative data on death registrations. The results show that those without public or private health insurance have a higher risk of all-cause and cancer mortality. However, there is no evidence that type of health insurance cover affects mortality risk from causes that are considered amenable to healthcare intervention, although this analysis was based on a much smaller sample size. This analysis provides important evidence for a country that is implementing reforms to its financing and delivery structures in order to move towards a system of universal healthcare.

Utilisation of healthcare by immigrant adults relative to the host population: Evidence from Ireland.

OBJECTIVE: While there is a broad consensus that barriers to access in the utilisation of healthcare exist for immigrants in the US, European evidence exploring this issue paints a mixed picture, with studies from a variety of European jurisdictions presenting different conclusions. In this context, Ireland, a European country with substantial private involvement in healthcare delivery, and, a largely young immigrant population, provides an opportunity to investigate the healthcare utilisation of immigrants compared to natives in a European country with mixed private-public healthcare provision. DESIGN: The healthcare utilisation patterns of immigrants (defined as residents with a foreign country of birth) and native-born participants were analysed from a nationally representative health survey of 6,326 adults, carried out in Ireland in 2016. An array of socio-economic and health information was collected such that regression analysis on healthcare consultations accounted for confounding factors. RESULTS: Non-native residents of Ireland born outside the UK were less likely to have attended a General Practitioner (Odds ratio (OR): 0.62 [95% Confidence Interval (CI): 0.51-0.74]; p<0.001) or consultant doctor (OR: 0.60 [95% CI: 0.47-0.76]; p<0.001) in the previous year, relative to Irish-born individuals. UK-born residents of Ireland displayed similar utilisation patterns to those of the native population in terms of GP visitation, but a higher likelihood of having attended a consultant (OR: 1.44 [95% CI: 1.14-1.816]; p = 0.004). CONCLUSIONS: Lower use of healthcare by those born outside Ireland and the UK relative to the native Irish population may be due to different approaches to healthcare utilisation or obstacles to healthcare utilisation. The findings suggest that the utilisation of healthcare by immigrants merits continued policy attention to respond to the needs of these key groups in society and facilitate integration.

Road traffic noise and cognitive function in older adults: a cross-sectional investigation of The Irish Longitudinal Study on Ageing.

BACKGROUND: The World Health Organization published updated Environmental Noise Guidelines in 2018. Included are recommended limit values for environmental noise exposure based on systematic reviews for a range of health outcomes, including cognitive impairment. There is emerging evidence in the literature that chronic exposure to road traffic noise may affect cognitive function in older adults, but this relationship is not well established. This study spatially linked nationally representative health microdata from The Irish Longitudinal Study on Ageing to building-level modelled noise data for two cities in the Republic of Ireland. This was used to investigate associations between exposure to road traffic noise and cognitive function in a sample of older adults, independent of a range of socio-demographic and behavioural characteristics, as well as exposure to air pollution. METHODS: We used the Predictor-LimA Advanced V2019.02 software package to estimate noise originating from road traffic for the cities of Dublin and Cork in Ireland according to the new common noise assessment methodology for the European Union (CNOSSOS-EU). Noise exposure values were calculated for each building and spatially linked with geo-coded TILDA microdata for 1706 individuals aged 54 and over in the two cities. Ordinary least squares linear regression models were estimated for eight standardised cognitive tests including noise exposure as an independent variable, with standard errors clustered at the household level. Models were adjusted for individual sociodemographic, behavioural and environmental characteristics. RESULTS: We find some evidence that road traffic noise exposure is negatively associated with executive function, as measured by the Animal Naming Test, among our sample of older adults. This association appears to be accounted for by exposure to air pollution when focusing on a sub-sample. We do not find evidence of an association between noise exposure and memory or processing speed. CONCLUSIONS: Long term exposure to road traffic noise may be negatively associated with executive function among older adults.

Area-level deprivation and geographic factors influencing utilisation of General Practitioner services.

Inequities in access to General Practitioner (GP) services are a key policy concern given the role of GPs as gatekeepers to secondary care services. Geographic or area-level factors, including local deprivation and supply of healthcare providers, are important elements of access. In considering how area-level deprivation relates to GP utilisation, two potentially opposing factors may be important. The supply of healthcare services tends to be lower in areas of higher deprivation. However, poorer health status among individuals in deprived areas suggests greater need for healthcare. To explore the relationship of area-level deprivation to healthcare utilisation, we use data from the Healthy Ireland survey, which provided a sample of 6326 respondents to face-to-face interviews. A u-shaped relationship between GP supply and area-level deprivation is observed in the data. Modelling reveals that residing in more deprived communities has a strong, statistically significant positive association with having seen a GP within the last four weeks, controlling for individual characteristics and GP supply. All else equal, residing in an area ranked in the most deprived quintile increases the odds of a respondent having visited the GP in four weeks by 1.43 (95% Confidence Interval: 1.15-1.78), compared to the least deprived quintile (p-value< 0.001). The findings indicate that the level of deprivation in an area may be relevant to decisions about how to allocate primary care resources.

Mortality risk associated with combinations of loneliness and social isolation. Findings from The Irish Longitudinal Study on Ageing (TILDA).

BACKGROUND: Social distancing and similar measures in response to the coronavirus disease 2019 pandemic have greatly increased loneliness and social isolation among older adults. Understanding the association between loneliness and mortality is therefore critically important. We examined whether combinations of loneliness and social isolation, using a metric named social asymmetry, was associated with increased mortality risk. METHODS: The sample was derived from participants in The Irish Longitudinal Study on Ageing, a nationally representative sample of community-dwelling older adults aged ≥50. Survey data were linked to official death registration records. Cox proportional hazards regressions and competing risk survival analyses were used to examine the association between social asymmetry and all-cause and cause-specific mortality. RESULTS: Of four social asymmetry groups, concordant low lonely (low loneliness, low isolation) included 35.5% of participants; 26.4% were concordant high lonely (high loneliness, high isolation); 19.2% were discordant robust (low loneliness, high isolation) and 18.9% discordant susceptible (high loneliness, low isolation). The concordant high lonely (hazard ratio [HR] = 1.43, 95% confidence interval [CI]: 1.09-1.87) and discordant robust (HR = 1.37, 95% CI: 1.04-1.81) groups had an increased mortality risk compared to those in the concordant low lonely group. The concordant high lonely group had an increased risk of mortality due to diseases of the circulatory system (sub-distribution hazard ratio = 1.52, 95% CI: 1.03-2.25). CONCLUSION: We found that social asymmetry predicted mortality over a 7-year follow-up period. Our results confirm that a mismatch between subjective loneliness and objective social isolation, as well as the combination of loneliness and social isolation, were associated with an increased all-cause mortality risk.

Local NO2 concentrations and asthma among over-50s in Ireland: A microdata analysis.

BACKGROUND: Links between air pollution and asthma are less well established for older adults than some younger groups. Nitrogen dioxide (NO2) concentrations are widely used as an indicator of transport-related air pollution, and some literature suggests NO2 may directly affect asthma. METHODS: This study used data on 8162 adults >50 years old in the Republic of Ireland to model associations between estimated annual outdoor concentration of NO2 and the probability of having asthma. Individual-level geo-coded survey data from The Irish Longitudinal Study on Ageing (TILDA) were linked to model-based estimates of annual average NO2 at 50 m resolution. Asthma was identified using two methods: self-reported diagnoses and respondents' use of medications related to obstructive airway diseases. Logistic regressions were used to model the relationships. RESULTS: NO2 concentrations were positively associated with the probability of asthma [marginal effect (ME) per 1 ppb of airborne NO2 = 0.24 percentage points asthma self-report, 95% confidence interval (CI) 0.06-0.42, mean asthma prevalence 0.09; for use of relevant medications ME = 0.21 percentage points, 95% CI 0.049-0.37, mean prevalence 0.069]. Results were robust to varying model specification and time period. Respondents in the top fifth percentile of NO2 exposure had a larger effect size but also greater standard error (ME = 2.4 percentage points asthma self-report, 95% CI -0. 49 to 5.3). CONCLUSIONS: Associations between local air pollution and asthma among older adults were found at relatively low concentrations. To illustrate this, the marginal effect of an increase in annual average NO2 concentration from sample minimum to median (2.5 ppb) represented about 7-8% of the sample average prevalence of asthma.

Comparing Underlying and Contributory Cause of Death in Registry Data With End-of-Life Proxy Interviews: Findings From The Irish Longitudinal Study on Ageing (TILDA).

Cause of death is an important outcome in end-of-life (EOL) research. However, difficulties in assigning cause of death have been well documented. We compared causes of death in national death registrations with those reported in EOL interviews. Data were from The Irish Longitudinal Study on Ageing (TILDA), a nationally representative sample of community-dwelling adults aged 50 years and older. The kappa agreement statistic was estimated to assess the level of agreement between two methods: cause of death reported in EOL interviews and those recorded in official death registrations. There was moderate agreement between underlying cause of death recorded on death certificates and those reported in EOL interviews. Discrepancies in reporting in EOL interviews were systematic with better agreement found among younger decedents and where the EOL informant was the decedents' partner/spouse. We have shown that EOL interviews may have limited utility if the main goal is to understand the predictors and antecedents of different causes of death.

Linking death registration and survey data: Procedures and cohort profile for The Irish Longitudinal Study on Ageing (TILDA).

Background: Research on mortality at the population level has been severely restricted by an absence of linked death registration and survey data in Ireland. We describe the steps taken to link death registration information with survey data from a nationally representative prospective study of community-dwelling older adults. We also provide a profile of decedents among this cohort and compare mortality rates to population-level mortality data. Finally, we compare the utility of analysing underlying versus contributory causes of death. Methods: Death records were obtained for 779 and linked to individual level survey data from The Irish Longitudinal Study on Ageing (TILDA).   Results: Overall, 9.1% of participants died during the nine-year follow-up period and the average age at death was 75.3 years. Neoplasms were identified as the underlying cause of death for 37.0%; 32.9% of deaths were attributable to diseases of the circulatory system; 14.4% due to diseases of the respiratory system; while the remaining 15.8% of deaths occurred due to all other causes. Mortality rates among younger TILDA participants closely aligned with those observed in the population but TILDA mortality rates were slightly lower in the older age groups. Contributory cause of death provides similar estimates as underlying cause when we examined the association between smoking and all-cause and cause-specific mortality. Conclusions: This new data infrastructure provides many opportunities to contribute to our understanding of the social, behavioural, economic, and health antecedents to mortality and to inform public policies aimed at addressing inequalities in mortality and end-of-life care.

Free GP care and psychological health: Quasi-experimental evidence from Ireland.

There is considerable ambiguity in the literature on the effect of health insurance on health. While the majority of previous analyses have examined physical health outcomes, analyses of the broader dimensions of health such as psychological health and wellbeing have been less frequent. Using data from the Irish Longitudinal Study on Ageing (TILDA) and a difference-in-differences research design, we examine the impact of free general practitioner (GP) care on psychological health among the older population and explore potential mechanisms. While we find no impact of public health insurance expansions on quality of life, life satisfaction, depression, and worry, the removal of GP fees for all those 70+ leads to a significantly lower level of perceived stress. The impact is mainly driven by poorer, sicker and single individuals. Further analyses show that removing GP fees leads to greater access to GP services and lower levels of financial stress.

Characterising urban green space density and footpath-accessibility in models of BMI.

BACKGROUND: While exposure to urban green spaces has been associated with various physical health benefits, the evidence linking these spaces to lower BMI, particularly among older people, is mixed. We ask whether footpath availability, generally unobserved in the existing literature, may mediate exposure to urban green space and help explain this volatility in results. The aim of this study is to add to the literature on the association between urban green space and BMI by considering alternative measures of urban green space that incorporate measures of footpath availability. METHODS: We conduct a cross-sectional study combining data from The Irish Longitudinal Study on Ageing and detailed land use information. We proxy respondents' exposure to urban green spaces at their residential addresses using street-side and area buffers that take account of the presence of footpaths. Generalised linear models are used to test the association between exposure to several measures of urban green space and BMI. RESULTS: Relative to the third quintile, exposure to the lowest quintile of urban green space, as measured within a 1600 m footpath-accessible network buffer, is associated with slightly higher BMI (marginal effect: 0.80; 95% CI: 0.16-1.44). The results, however, are not robust to small changes in how green space is measured and no statistically significant association between urban green spaces and BMI is found under other variants of our regression model. CONCLUSION: The relationship between urban green spaces and BMI among older adults is highly sensitive to the characterisation of local green space. Our results suggest that there are some unobserved factors other than footpath availability that mediate the relationship between urban green spaces and weight status.

The impact of prescription drug co-payments for publicly insured families.

Co-payments for prescription drugs are a common feature of many healthcare systems, although often with exemptions for vulnerable population groups. International evidence demonstrates that cost-sharing for medicines may delay necessary care, increase use of other forms of healthcare and result in poorer health outcomes. Existing studies concentrate on adults and older people, particularly in the US, with relatively less attention afforded to paediatric and European populations. In Ireland, prescription drug co-payments were introduced for the first time for medical cardholders (i.e. those with public health insurance) in October 2010, initially at a cost of €0.50 per item, rising to €1.50 in January 2013, and further increasing to €2.50 in December 2013. Using data from the Growing Up in Ireland longitudinal study of children, and a difference-in-difference research design, we estimate the impact of the introduction (and increase) of these co-payments on health, healthcare utilisation and household financial wellbeing. The introduction of modest co-payments on prescription items was not estimated to impinge on the health of children and parents from low-income families. For the younger Infant Cohort, difference-in-difference estimates indicated that the introduction (and increase) in co-payments was associated with a decrease in GP visits and hospital nights, and a decrease in the proportion of households reporting 'difficulties with making ends meet'. In contrast, for the older cohort of children (the Child Cohort), co-payments were associated with an increase in GP visiting, and an increase in household deprivation. While the parallel trends assumption for difference-in-difference analysis appeared to be satisfied, further investigation revealed that there were other time-varying observable factors (such as exposure to the economic recession over the period) that affected the treatment and control groups, as well as the two cohorts of children differentially, that may partly explain these divergent results. For example, while the analysis suggests that the introduction of the €0.50 co-payment in 2010 was associated with an increase in the probability of treated families in the Child Cohort being deprived by 9.4 percentage points, the proportion of treated families experiencing unemployment and reductions in household income also increased significantly around the time of the co-payment introduction. This highlights the difficulty in identifying the effect of the co-payment policy in an environment in which assignment to the treatment (i.e. medical cardholder status) was not randomly assigned.

Personality and preventive healthcare utilisation: Evidence from the Irish Longitudinal Study on Ageing.

There is extensive empirical evidence that personality is associated with many outcomes and behaviours, such as educational outcomes, labour market participation, savings behaviour, health behaviours, physical health status and mortality. Use of preventive healthcare services (e.g., vaccinations, screening, etc.) is a potential pathway explaining the link between personality and health, and is an important component of healthy ageing. We examine the association between personality traits (the 'Big Five') and a variety of preventive healthcare utilisation measures in the older population. Using data from the Irish Longitudinal Study on Ageing (TILDA), we estimate Poisson models of preventive healthcare utilisation (influenza vaccination, blood cholesterol test, breast lump check, mammogram, prostate examination, prostate-specific antigen (PSA) test). We find that openness to experience is a significant predictor of breast lump check and mammogram in women aged 65+ after adjustment for other confounders and multiple hypothesis testing. While uptake of many preventive healthcare services remains below national recommendations for the older population, with the exception of breast lump checks and mammograms for women aged 65+, we find little evidence to link this heterogeneity in uptake to personality.

Did the expansion of free GP care impact demand for Emergency Department attendances? A difference-in-differences analysis.

The removal of co-payments for General Practitioner (GP) services has been shown to increase utilisation of GP care. The introduction of free GP care may also have spillover effects on utilisation of other healthcare such as Emergency Department (ED) services, which often serve as substitutes for primary care, and where co-payments to attend exist for many. In Ireland, out-of-pocket payments are paid by the majority of the population to access GP care, and these costs are amongst the highest in Europe. However, in July 2015 all children in Ireland aged under 6 became eligible for free GP care. Using a large administrative dataset on 413,562 ED attendances between January 2015 and June 2016 we apply a difference-in-differences method, with treatment and control groups differentiated by age, to examine whether ED utilisation changed amongst younger children following the introduction of universal free GP care. In particular, we examine ED attendances following a GP referral, as referrals from GPs also afford access to the ED free of charge. We find that the expansion of free GP care did not reduce overall ED utilisation for under 6s. Additionally, we find that the proportion of ED attendances occurring through GP referrals increased by over 2 percentage points. This latter finding may be indicative of increased pressure placed on GPs from increased demand. Overall, this study finds that expanding free GP care to all young children did not reduce their ED utilisation.