Horizontal Inequity Index Research Articles

The reduction of horizontal inequity in unmet refractive error: The Shahroud Eye Cohort Study, 2009–2014

PurposeTo measure Horizontal Inequity Index (HI) of unmet refractive error and its changes between 2009 and 2014 in Iran. MethodsThe data used in this study was taken from population-based study, Shahroud Eye Cohort Study. The number of participants analyzed in first (2009) and second phases of study (2014) were 5190 and 4737, respectively, and individuals between 40 and 64 years were included. The HI was determined by using the Concentration Index (C) based on the nonlinear (Probit) model, and C was decomposed to identify and quantify the contribution of each factor. ResultsAfter adjusting for need variables, the results demonstrated that the HI in unmet refractive need decreased from −0.288 (95% CI: 0.370, −0.206) in the 2009 to −0.132 (95% CI: 0.290, −0.028) in 2014. Decomposition of the C showed that level of education and economic status were the greatest contributors with shares of 26.2% and 17.9%, respectively, in reducing the amount of HI in unmet refractive error between 2009 and 2014. ConclusionsThe current study demonstrated that unmet refractive error did not have an equal distribution among economic quintiles, despite the same need for correcting refractive errors. Reducing the amount of HI in unmet refractive error between 2009 and 2014 indicated an improvement in the unmet need in the five years period between two phases of study.

Effect of China\u2019s maternal health policy on improving rural hospital delivery: Evidence from two cross-sectional surveys

This population-based cross-sectional study aims to explore the effect of China’s Rural Hospital Delivery Subsidy (RHDS) policy on the utilization of women’s hospital delivery between rural and urban areas. A total of 2398 women were drawn from the Fourth and Fifth National Health Service Surveys, from the Shaanxi province. A generalized linear mixed model was used to analyze the influence of the RHDS policy on the hospital delivery rate. Concentration index and decomposition methods were used to explore the equity of hospital delivery utilization. Prior to introduction of the RHDS policy, the difference in hospital delivery rates was −0.09 (95% CL: −0.16, −0.01) between rural and urban women when adjusting the influence of socioeconomic factors on hospital delivery; after implementation of the policy, the difference was reduced to 0.02 (95% CL: −0.01, 0.06). The horizontal inequity index was reduced from 0.084 to 0.009 for rural women and from 0.070 to 0.011 for urban women. China’s Rural Hospital Delivery Subsidy policy had some positive effect on reducing the gap between rural and urban women’s hospital delivery rate and inequity. However, there is still a pro-rich inequity of hospital delivery utilization for both rural and urban women.

Inequities in maternal health services utilization in Ethiopia 2000\u20132016: magnitude, trends, and determinants

BackgroundInequities in maternal health services utilization constitute a major challenge in maternal mortality reduction in Ethiopia. We sought to assess magnitude, trends, and determinants of inequities in maternal health services utilization in Ethiopia from 2000 to 2016.MethodsThe study utilized data from the 2000 and 2016 Ethiopia Demographic and Health Surveys, which were done based on a cross sectional survey design. The wealth-related inequities were assessed by concentration curve and horizontal inequity indices. Trends in inequities were assessed by comparing the concentration indices of maternal health services utilization variables between the 2000 and 2016 surveys using Wagstaff two groups concentration indices comparison method. Finally, the inequities were decomposed into its contributing factors using Wagstaff method of analysis.ResultsWealth-related inequities were significantly high in 2016: with horizontal inequities indices and residual regression error of antenatal care, skilled birth attendance, and postnatal care service utilization (− 0.09 and − 0.01), (− 0.06 and 0.01), and (− 0.11 and 0.0001), respectively. These indices increased significantly in 2016 when it is compared with the 2000 indices’ with the respective concentration indices difference of − 0.05, 0.05, and − 0.07. The related all p-values were < 0.0001. The main determinants of inequities were low-economic status, illiteracy, rural residence, no occupation, and fewer accesses to mass media.ConclusionsIn Ethiopia, maternal health services utilization inequities were significantly high and increased in 2016 compared to 2000. Women who are poor, rural resident, uneducated, unemployed, and fewer mass media exposed are the most disadvantaged. Targeting maternal health interventions for the underserved women is essential to reduce maternal mortality in the country.

Comparing the income-related inequity of tested prevalence and self-reported prevalence of hypertension in China

BackgroundHypertension has become a global health challenge given its high prevalence and but low awareness and detection. Whether the actual prevalence of hypertension has been estimated is important, especially for the poor. This study aimed to measure tested prevalence and self-reported prevalence of hypertension and compare the inequity between them in China.MethodsData were derived from China Health and Nutrition Survey (CHNS) conducted in 2011. By using the multistage, stratified, random sampling method, 12,168 respondents aged 18 or older were identified for analysis. Both tested prevalence (systolic blood pressure ≥ 140 mmHg or/and diastolic blood pressure ≥ 90 mmHg or /and current use any of antihypertensive medication) and self-reported prevalence (ever diagnosed with hypertension by a doctor) were used to measure the prevalence of hypertension. The concentration index was employed to measure the extent of inequality in tested prevalence and self-reported prevalence. A decomposition method, based on a Probit model, was used to analyze income-related horizontal inequity of tested prevalence and self-reported prevalence.ResultsThe tested prevalence and self-reported prevalence of total respondents were 28.8% [95% CI (28.0%, 29.6%)] and 15.7% [95% CI (15.0%, 16.3%)], and 26.4% [95% CI (25.1%, 27.6%)] and 19.0% [95% CI (17.9%, 20.1%)] in urban areas, and 30.3% [95% CI (29.3%, 31.4%)] and 13.5% [95% CI (12.7%, 14.3%)] in rural areas. The horizontal inequity indexes of mean tested prevalence and self-reported prevalence were − 0.0494 and 0.1203 of total respondents, − 0.0736 and 0.0748 in urban area, and − 0.0177 and 0.0466 in rural area respectively, indicating pro-poor inequity in tested prevalence and pro-rich inequity in self-reported prevalence of hypertension. Economic status, education attainment and age were key factors of the pro-poor inequity in tested prevalence. Economic status, area and age were key factors to explain the poor-rich inequity in self-reported prevalence.ConclusionsThis study revealed self-reported prevalence of hypertension was much lower than tested prevalence in China, while a larger gap between self-reported and tested prevalence was found in rural areas. Our study suggested social strategies aiming at narrowing economic gap and regional disparities, reducing educational inequity, and facilitating health conditions of the elderly should be implemented. Finally, awareness raising campaigns to test hypertension in rural area need be strengthened by health education programs and improving the access to public health service, especially for those who do not engage with regular health checkups.

Examining horizontal inequity and social determinants of inequality in facility delivery services in three South Asian countries.

BackgroundThe utilization of maternal health care services has increased in many developing countries, but persistent wealth-related inequalities in use of maternal services remained an important public health issue. The paper examined the horizontal inequities and identified the key social determinants that can potentially explain such wealth-related inequalities in use of facility delivery services.MethodsThe countries studied are Bangladesh, Pakistan and Nepal. We used horizontal inequity index to measure the horizontal inequity and decomposition of concentration index method to assess the contribution of different social determinants towards the wealth-related inequality. We have used household and women data from demographic and health surveys of Bangladesh (BDHS 2014), Pakistan (PDHS 2012-13) and Nepal (NDHS 2010-11).ResultsAll three countries showed pro-rich inequality in use of facility delivery services (Observed Concentration Index: Bangladesh = 0.235; Pakistan = 0.141; Nepal = 0.263). The study showed if the utilization were solely based on need factors there would have been little disparity between the rich and the poor (Need expected Concentration Index: Bangladesh = 0.004; Pakistan = 0.004; Nepal = 0.008). The use of facility delivery remained pro-rich in all three countries after taking the need factors into account (Horizontal inequity Index: Bangladesh = 0.231; Pakistan = 0.137; Nepal = 0.254). The decomposition analysis revealed that facility delivery is driven mostly by the social determinants of health rather than the individual health risk. Household socioeconomic condition, parental education, place of residence and parity emerged as the most important factors.ConclusionsOur study reiterates the importance of addressing social determinants of health in tackling wealth-related inequalities in use of facility delivery services. Health policy makers should acknowledge the importance of social determinants in determining individual health-seeking behaviour and accordingly set their strategies to improve access to facility delivery.

Withstanding austerity: Equity in health services utilisation in the first stage of the economic recession in Southern Spain.

Scant research is available on the impact of the current economic crisis and austerity policies on inequality in health services utilisation in Europe. This study aimed to describe the trends in horizontal inequity in the use of health services in Andalusia, Spain, during the early years of the Great Recession, and the contribution of demographic, economic and social factors. Consultation with a general practitioner (GP) and specialist, hospitalisation and emergency care were studied through the Andalusian Health Survey 2007 (pre-crisis) and 2011–2012 (crisis), using a composite income index as socioeconomic status (SES) indicator. Horizontal inequity indices (HII) were calculated to take differential healthcare needs into account, and a decomposition analysis of change in inequality between periods was performed. Results showed that before the crisis, the HII was positive (greater access for people with higher SES) for specialist visits but negative (greater access for people with lower SES) in the other three utilisation models. During the crisis no change was observed in inequalities in GP visits, but a pro-poor development was seen for the other types of utilisation, with hospital and emergency care showing significant inequality in favour of low income groups. Overall, the main contributors to pro-poor changes in utilisation were socio-economic variables and poor mental health, due to changes in their elasticities. Our findings show that inequalities in healthcare utilisation largely remained in favour of the less well-off, despite the cuts in welfare benefits and health services provision during the early years of the recession in Andalusia. Further research is needed to monitor the potential impact of such measures in subsequent years.

Comparing the effects of China\u2019s three basic health insurance schemes on the equity of health-related quality of life: using the method of coarsened exact matching

BackgroundChina has three basic health insurance schemes: Urban Employee Basic Medical Insurance (UEBMI), Urban Resident Basic Medical Insurance (URBMI) and New Rural Cooperative Medical Scheme (NRCMS). This study aimed to compare the equity of health-related quality of life (HRQoL) of residents under any two of the schemes.MethodsUsing data from the 5th National Health Services Survey of Shaanxi Province, China, coarsened exact matching method was employed to control confounding factors. We included a matched sample of 6802 respondents between UEBMI and URBMI, 34,169 respondents between UEBMI and NRCMS, and 36,928 respondents between URBMI and NRCMS. HRQoL was measured by EQ-5D-3L based on the Chinese-specific value set. Concentration index was adopted to assess health inequality and was decomposed into its contributing factors to explain health inequality.ResultsAfter matching, the horizontal inequity indexes were 0.0036 and 0.0045 in UEBMI and URBMI, 0.0035 and 0.0058 in UEBMI and NRCMS, and 0.0053 and 0.0052 in URBMI and NRCMS respectively, which were mainly explained by age, educational and economic statuses. The findings demonstrated the pro-rich health inequity was much higher for the rural scheme than that for the urban ones.ConclusionThis study highlights the need to consolidate all three schemes by administrating uniformly, merging funds pooling and benefit packages. Based on the contributing factors, strategies aim to facilitate health conditions of the elderly, narrow economic gap, and reduce educational inequity, are essential. This study will provide evidence-based strategies on consolidating the fragmented health schemes towards reducing health inequity in both China and other developing countries.

The effects of China's three basic health insurance schemes on the equity of health-related quality of life: a cross-sectional survey using coarsened exact matching

BackgroundFragmentation in health insurance schemes adversely affects health equity. To achieve universal health coverage by 2020, China has implemented comprehensive reforms to improve health insurance. China has three basic health insurance schemes: Urban Employee Basic Medical Insurance (UEBMI), Urban Resident Basic Medical Insurance (URBMI), and the New Rural Cooperative Medical Scheme (NRCMS). However, little research has compared the effects of different health insurance schemes on the equity of health-related quality of life. This study aimed to compare the equity of health-related quality of life of residents under any two of the schemes. MethodsOur analysis used cross-sectional survey data from the 5th National Health Services Survey of Shaanxi Province, China, with a coarsened exact matching method to control for confounding factors. We included a matched sample of 6802 respondents between UEBMI and URBMI, 34 169 respondents between UEBMI and NRCMS, and 36 928 respondents between URBMI and NRCMS. Health-related quality of life was measured by three-level EuroQol five-dimensions (EQ-5D-3L) based on the Chinese-specific value set. We adopted a concentration index to assess health equity and its contributing factors. In this study, the horizontal inequity index of health-related quality of life was obtained by removing the contributions of unavoidable variables (such as gender and age) from the overall concentration index of health-related quality of life. A positive (or negative) horizontal inequity index of health-related quality of life indicated pro-rich (or pro-poor) inequity. FindingsAfter matching, the mean EQ-5D utility scores were 0·9589 (SD 0·0036) and 0·9449 (0·0062) in UEBMI and URBMI, 0·9579 (0·0036) and 0·9473 (0·0016) in UEBMI and NRCMS, and 0·9505 (0·0055) and 0·9605 (0·0013) in URBMI and NRCMS, respectively. Horizontal inequity indexes were 0·0036 and 0·0045 in UEBMI and URBMI, 0·0035 and 0·0058 in UEBMI and NRCMS, and 0·0053 and 0·0052 in URBMI and NRCMS, respectively, which were mainly explained by age, educational and economic statuses. For example, between UEBMI and NRCMS, we found that age (52·15%), educational status (19·88%), and economic status (19·78%) made the largest contributions to explain the inequality of health-related quality of life for the insured residents of UEBMI. InterpretationOur findings highlight the need to consolidate all three schemes with uniform administration, merged funding pools, and matched benefit packages. Strategies to reduce the factors that contribute to health inequity (eg, to facilitate health conditions of elderly people, narrow the economic gap, and reduce educational inequity) are essential. This study will provide evidence-based strategies on consolidating the fragmented health schemes towards reducing health inequity in both China and other developing countries. FundingResearch Program of Shaanxi Soft Science (2015KRM117), National High-Level Talents Special Support Plan (“Thousands of People Plan”), Shaanxi Provincial Youth Star of Science and Technology in 2016, and the Basic Scientific Research Funding of Xi'an Jiaotong University (SK2015007).

Inequity in Maternal and Child Health Care Utilization in Nigeria

AbstractThe study assesses the degree and patterns of horizontal inequity in maternal and child health care utilization in Nigeria. Horizontal inequity was estimated using concentration curves and a standardized concentration index, which was decomposed into need and non‐need variables to capture the major drivers of inequity in utilization. Maternal and child health care utilization was measured by antenatal visits, skilled delivery and immunization utilization. Four rounds of Nigerian Demographic and Health Survey (DHS) data (1999, 2003, 2008, 2013) were used. The results show a positive horizontal inequity index from 1999 to 2013; which indicates that there is pro‐rich inequity in utilization of antenatal, skilled delivery and immunization, respectively. The study concludes that there is higher and increasing inequity in maternal health care while inequity in utilization of child health care decreased over time with wealth status and education as the major non‐need drivers of inequity in utilization. Interventions to enhance women's wealth status and education could significantly improve equity in skilled delivery and antenatal care utilization. Hence wealth creation, women empowerment and education should be given more attention to improve the deteriorating equity in maternal health care utilization.

An economy-related equity analysis of health service utilization by women in economically underdeveloped regions of western China

BackgroundThe Chinese government has long been committed to eliminating the inequality in the utilization of health services; however, it still lacks an analysis or measurement of the economy-related inequality in the utilization of women’s health services.MethodsThe economy-related utilization of health services in women aged 15 years and above was assessed by the horizontal inequity index of a two-week outpatient rate and annual inpatient rate from the 5th National Health Service Survey of Shaanxi Province. The concentration index of each factor was decomposed into the contribution of each factor to the economic-related inequality of health service utilization based on the Probit regression model.ResultsThe horizontal inequity indexes of the two-week outpatient rate was 0.0493, and the horizontal inequity indexes of the annual impatient rate was 0.0869. The contributions of economic status to the two indexes were 190.71% and 115.80%, respectively. Economic status, age, basic medical insurance, educational status, marital status, urban/rural area, and self-rated health were the main impact factors that affected the inequality in women’s health services utilization in Shaanxi.ConclusionsHealth service utilization was different between women with different social demographic characteristics, and unequal health service utilization is evident among women in Shaanxi.

An equity analysis of health examination service utilization by women from underdeveloped areas in western China.

ObjectiveThis study sought to examine the sources of inequity in health examination service utilization by women from underdeveloped areas in western China.MethodsBased on data from the 5th National Health Service Survey in Shaanxi province, women’s utilization of health examination services was examined according to gynecological, cervical smear, and breast examination rates. The equity of health examination service utilization by 15- to 64-year-old women and the factors contributing to inequity were determined using the health concentration index, decomposition of the concentration index, and the horizontal inequity index.ResultsThe examination rates for gynecological, cervical smear, and breast exams for 15- to 64-year-old women in Shaanxi province were 40.61%, 27.08%, and 24.59%, respectively. The horizontal inequity indices of gynecological, cervical smear, and breast examination rates were 0.0480, 0.0423, and 0.0764, respectively, and each examination rate was higher for wealthy individuals. The contribution rates of economic status to the inequalities in gynecological, cervical smear, and breast examination rates were 65.80%, 74.31%, and 56.49%, respectively. The contribution rates of educational status to the inequalities in gynecological, cervical smear, and breast examination rates were 21.01%, 14.83% and 30.00%, respectively. The contribution rates of age to the inequalities in gynecological, cervical smear, and breast examination rates were 25.77%, 26.55%, and 18.40%, respectively.ConclusionsWomen’s health examination rates differed between populations with different socio-demographic characteristics. There is pro-wealth inequality in each examination rate. This study found that financial status, age, and education level were the main reasons for the unequal utilization of health examination services.

Income-rich and wealth-poor? The impact of measures of socio-economic status in the analysis of the distribution of long-term care use among older people.

This article aims to investigate the impact of using 2 measures of socio-economic status on the analysis of how informal care and home care use are distributed among older people living in the community. Using data from the Survey of Health, Ageing and Retirement in Europe for 14 European countries, we estimate differences in corrected concentration indices for use of informal care and home care, using equivalised household net income and equivalised net worth (as a proxy for wealth). We also calculate horizontal inequity indices using both measures of socio-economic status and accounting for differences in need. The findings show that using wealth as a ranking variable results, as a rule, in a less pro-poor inequality of use for both informal and home care. Once differences in need are controlled for (horizontal inequity), wealth still results in a less pro-poor distribution for informal care, in comparison with income, whereas the opposite is observed for home care. Possible explanations for these differences and research and policy implications are discussed.

Fairness and Eligibility to Long-Term Care: An Analysis of the Factors Driving Inequality and Inequity in the Use of Home Care for Older Europeans.

In contrast with the case of health care, distributional fairness of long-term care (LTC) services in Europe has received limited attention. Given the increased relevance of LTC in the social policy agenda it is timely to evaluate the evidence on inequality and horizontal inequity by socio-economic status (SES) in the use of LTC and to identify the socio-economic factors that drive them. We address both aspects and reflect on the sensitivity of inequity estimates to adopting different definitions of legitimate drivers of care need. Using Survey of Health, Ageing and Retirement in Europe (SHARE)data collected in 2013, we analyse differences in home care utilization between community-dwelling Europeans in nine countries. We present concentration indexes and horizontal inequity indexes for each country and results from a decomposition analysis across income, care needs, household structures, education achievement and regional characteristics. We find pro-poor inequality in home care utilization but little evidence of inequity when accounting for differential care needs. Household characteristics are an important contributor to inequality, while education and geographic locations hold less explanatory power. We discuss the findings in light of the normative assumptions surrounding different definitions of need in LTC and the possible regressive implications of policies that make household structures an eligibility criterion to access services.

Inequity in healthcare use among older people after 2008: The case of southern European countries

Despite the sizeable cuts in public healthcare spending, which were part of the austerity measures recently undertaken in Southern European countries, little attention has been devoted to monitoring its distributional consequences in terms of healthcare use. This study aims at measuring socioeconomic inequities in primary and secondary healthcare use experienced some time after the crisis onset in Italy, Spain and Portugal. The analysis, based on data drawn from the Survey of Health, Ageing and Retirement in Europe (SHARE), focuses on older people, who generally face significantly higher healthcare needs, and whose health appeared to have worsened in the aftermath of the crisis. The Horizontal Inequity indexes reveal remarkable socioeconomic inequities in older people’s access to secondary healthcare in all three countries. In Portugal, the one country facing most severe healthcare budget cuts and where user charges apply also to GP visits, even access to primary care exhibits a significant pro-rich concentration. If reducing inequities in older people’s access to healthcare remains a policy objective, austerity measures maybe pulling the Olive belt countries further away from achieving it.

Inequidades socioeconómicas en el uso de servicios sanitarios de atención primaria en Ecuador

In Latin America there are few studies on socioeconomic inequalities in health variables and very few that analyze inequities in the use of health services. We investigate the determinants of the use of public health services regarding preventive and healing visits, as well as the horizontal inequity by calculating the horizontal inequity index of Ecuador's adult population using data from 2012. The results show that there is no evidence of horizontal inequity in the use of preventive and healing health care services. However, we found that groups such as indigenous, individuals with no health insurance, with no education and residents in the urban-coast show a lower probability of using both preventive and healing services.

Horizontal inequity in outpatient care use and untreated morbidity: evidence from nationwide surveys in India between 1995 and 2014.

Equity in healthcare has been a long-term guiding principle of health policy in India. We estimate the change in horizontal inequities in healthcare use over two decades comparing the older population (60 years or more) with the younger population (under 60 years). We used data from the nationwide healthcare surveys conducted in India by the National Sample Survey Organization in 1995–96 and 2014 with sample sizes 633 405 and 335 499, respectively. Bivariate and multivariate logit regression analyses were used to study the socioeconomic differentials in self-reported morbidity (SRM), outpatient care and untreated morbidity. Deviations in the degree to which healthcare was distributed according to need were measured by horizontal inequity index (HI). In each consumption quintile the older population had four times higher SRM and outpatient care rate than the younger population in 2014. In 1995–96, the pro-rich inequity in outpatient care was higher for the older (HI: 0.085; 95% CI: 0.066, 0.103) than the younger population (0.039; 0.034, 0.043), but by 2014 this inequity became similar. Untreated morbidity was concentrated among the poor; more so for the older (−0.320; −0.391, −0.249) than the younger (−0.176; −0.211, −0.141) population in 2014. The use of public facilities increased most in the poorest and poor quintiles; the increase was higher for the older than the younger population in the poorest (1.19 times) and poor (1.71 times) quintiles. The use of public facilities was disproportionately higher for the poor in 2014 than in 1995–96 for the older (−0.189; −0.234, −0.145 vs − 0.065; −0.129, −0.001) and the younger (−0.145; −0.175, −0.115 vs − 0.056; −0.086, −0.026) population. The older population has much higher morbidity and is often more disadvantaged in obtaining treatment. Health policy in India should pay special attention to equity in access to healthcare for the older population.

Health care on equal terms? Assessing horizontal equity in health care use in Northern Sweden.

The Swedish health care system has successively moved toward increased market-orientation, which has raised concerns as to whether Sweden still offers health on equal terms. To explore this issue, this study aimed (i) to assess if the principles of horizontal equity (equal access for equal need regardless of socio-economic factors) are met in Northern Sweden 2006-14; and (ii) to explore the contribution of different factors to the inequalities in access along the same period. Data came from cross sectional surveys known in 2006, 2010 and 2014 targeting 16-84-year-old residents in the four northern-most counties in Sweden. The horizontal inequity index was calculated based on variables representing (i) the individual socioeconomic status, (ii) the health care needs, (iii) non-need factors as well as (iv) health care utilization: general practitioner (GP), specialist doctors, hospitalization. Decomposition analysis of the concentration index for need-standardized health care utilization was applied. Adjusting for needs, there was a higher use of GP services by rich people during the two last surveys, a roughly equal use of specialists, and hospitalization concentrated among the poor but with a clear time trend toward equality. The pro-rich inequalities in GP use were to a large part explained by the income gap. While health care utilization can be considered equitable regarding specialist and hospital use, the increasing pro-rich trend in the use of GP is a concern. Further studies are required to investigate the reasons and a constant monitoring of socioeconomic differences in health care access is recommended.

Trends of relative and absolute socioeconomic equity in access to coronary revascularisations in 1995\u20132010 in Finland: a register study

BackgroundResources for coronary revascularisations have increased substantially since the early 1990s in Finland. At the same time, ischaemic heart disease (IHD) mortality has decreased markedly. This study aims to examine how these changes have influenced trends in absolute and relative differences between socioeconomic groups in revascularisations and age group differences in them using IHD mortality as a proxy for need.MethodsHospital Discharge Register data on revascularisations among Finns aged 45–84 in 1995–2010 were individually linked to population registers to obtain socio-demographic data. We measured absolute and relative income group differences in revascularisation and IHD mortality with slope index of inequality (SII) and concentration index (C), and relative equity taking need for care into account with horizontal inequity index (HII).ResultsThe supply of procedures doubled during the years. Socioeconomic distribution of revascularisations was in absolute and relative terms equal in 1995 (Men: SII = −12, C = −0.00; Women, SII = −30, C = −0.03), but differences favouring low-income groups emerged by 2010 (M: SII = −340, C = −0.08; W: SII = −195, C = −0.14). IHD mortality decreased markedly, but absolute and relative differences favouring the better-off existed throughout study years. Absolute differences decreased somewhat (M: SII = −760 in 1995, SII = −681 in 2010; W: SII = −318 in 1995, SII = −211 in 2010), but relative differences increased significantly (M: C = −0.14 in 1995, C = −0.26 in 2010; W: C = −0.15 in 1995, C = −0.25 in 2010). HII was greater than zero in each year indicating inequity favouring the better-off. HII increased from 0.15 to 0.18 among men and from 0.10 to 0.12 among women. We found significant and increasing age group differences in HII.ConclusionsDespite large increase in supply of revascularisations and decrease in IHD mortality, there is still marked socioeconomic inequity in revascularisations in Finland. However, since changes in absolute distributions of both supply and need for coronary care have favoured low-income groups, absolute inequity can be claimed to have decreased although it cannot be quantified numerically.

Equitable health services for the young? A decomposition of income-related inequalities in young adults\u2019 utilization of health care in Northern Sweden

BackgroundDespite the goal of the Swedish health system to offer health care according to the principle of horizontal equity, little is known about the equality in access to health care use among young people. To explore this issue, the present study aimed i) to assess horizontal inequity in health care utilization among young people in Northern Sweden; and ii) to explore the contribution of different factors to explain the observed inequalities.MethodsParticipants (N = 3016 youths aged 16–25 years) came from the “Health on Equal terms” survey conducted in 2014 in the four northernmost counties in Sweden. Concentration indices (C) and horizontal inequity indices (HI) were calculated to measure inequalities in the utilization of two health care services (general practitioners (GP) and youth clinics). The HI was calculated based on health care utilization and variables representing socioeconomic status (household income), health care needs factors and non-need factors affecting health care use. A decomposition analysis was carried out to explain the income-related inequalities.ResultsResults showed a significant positive income-related inequality for youth clinic utilization in women (C = 0.166) and total sample (C = 0.097), indicating that services were concentrated among the better-off. In contrast, general practitioner visits showed inequality pointing toward a higher utilization among less affluent individuals; significant in women (C = −0.079), men (C = −0.101) and pooled sample (C = −0.097). After taking health care needs into consideration, the utilization of youth clinics remained significantly pro-rich in women (HI = 0.121) and total sample (HI = 0.099); and consistently pro-poor for the GP visits in the pooled sample (HI = −0.058). The decomposition analyses suggest that socioeconomic inequalities explain a considerable portion of the pro-rich utilization of youth clinics services among young women. The corresponding analyses for GP visits showed that need factors and socioeconomic conditions accounted for the pro-poor concentration of GP visits.ConclusionThe distribution of GP visits among young people in Northern Sweden slightly favored the low-income group, and thus seems to meet the premises of horizontal equity. In contrast, the findings suggest substantial pro-rich horizontal inequity in the utilization of youth clinics among young women, which are largely rooted in socioeconomic inequalities.

Inequity in Healthcare Use among Older People after 2008: The Case of Southern European Countries

Despite the sizeable cuts in public healthcare spending, part of the austerity measures recently undertaken in Southern European countries, little attention has been devoted to monitoring distributional aspects of healthcare usage. This study aims at measuring socioeconomic inequities in primary and secondary healthcare experienced some time after the crisis onset in Italy, Spain and Portugal. The analysis, based on data drawn from the Survey of Health, Ageing and Retirement in Europe (SHARE), focuses on older people, who generally face significantly higher healthcare needs, and whose health appeared to have worsened in the aftermath of the crisis. The Horizontal Inequity indexes reveal remarkable socioeconomic inequities in older people’s access to secondary healthcare in all three countries. In Portugal, the one country facing most severe healthcare budget cuts and where user charges apply also to GP visits, even access to primary care exhibits a significant pro-rich concentration. If reducing inequities in older people’s access to healthcare remains a policy objective, austerity measures maybe pulling the Olive belt countries further away from achieving it.