Inequalities In Health Care Use Research Articles

Investigating a novel population health management system to increase access to healthcare for children: a nested cross-sectional study within a cluster randomised controlled trial

BackgroundEarly intervention for unmet needs is essential to improve health. Clear inequalities in healthcare use and outcomes exist. The Children and Young People’s Health Partnership (CYPHP) model of care uses...

Inequalities in health care use among patients with arthritis in China: using Andersen’s Behavioral Model

BackgroundThis study sought to assess socioeconomic-related inequalities in health care use among arthritis patients in China and to analyze factors associated with this disparity.MethodsThis study used data from the 2018 China Health and Retirement Longitudinal Study. 3255 arthritis patients were included. The annual per capita household expenditure was used to divide individuals into five categories. We calculated actual, need-predicted, and need-standardized distributions of health care use by socioeconomic groups among people with arthritis. The concentration index (Cl) was used to assess inequalities in health service use. Influencing factors of inequalities were measured with the decomposition method.ResultsThe outpatient and inpatient service use rates among 3255 arthritis patients were 23.13% and 21.41%, respectively. The CIs for actual outpatient and inpatient services use were 0.0449 and 0.0985, respectively. The standardized CIs for both outpatient and inpatient services use increase (CI for outpatient services use = 0.0537; CI for inpatient services use = 0.1260), indicating the emergence of a significant pro-rich inequity. Annual per capita household expenditure was the chief positive contributor to inequity for both outpatient (104.45%) and inpatient services use (105.74%), followed by infrequently social interaction (22.60% for outpatient services use) and Urban Employee Basic Medical Insurance (UEBMI) (11.90% for inpatient services use). By contrast, UEBMI also provided a high negative contribution to outpatient services use (-15.99%).ConclusionsThere are significant pro-rich inequalities in outpatient and inpatient services use among patients with arthritis, which are exacerbated by widening economic gaps. Interventions to address inequalities should start by improving the economic situation of lower socioeconomic households.

Medicare and Priority Populations: Structural and Place‐based Considerations for Aboriginal and Torres Strait Islander Peoples and LGBTIQ+ Australians

AbstractThe past 40 years of Medicare have seen effective policy for reducing income‐related inequities in healthcare use. In this article, we describe how past and current Medicare policies have shaped, and continue to shape, healthcare access for other priority populations—Aboriginal and Torres Strait Islander peoples and LGBTIQ+ populations. Drawing on empirical evidence, we also document the importance of structural‐, place‐ and demographic‐specific nuance when designing and implementing such policies. We conclude by offering recommendations on how Medicare can strive for better and more equitable access for these priority populations over the next 40 years and beyond.

Inequalities in healthcare use during the COVID-19 pandemic

The COVID-19 pandemic led to reductions in non-COVID related healthcare use, but little is known whether this burden is shared equally. This study investigates whether reductions in administered care disproportionately affected certain sociodemographic strata, in particular marginalised groups. Using detailed medical claims data from the Dutch universal health care system and rich full population registry data, we predict expected healthcare use based on pre-pandemic trends (2017 – Feb 2020) and compare these expectations with observed healthcare use in 2020 and 2021. Our findings reveal a 10% decline in the number of weekly treated patients in 2020 and a 3% decline in 2021 relative to prior years. These declines are unequally distributed and are more pronounced for individuals below the poverty line, females, older people, and individuals with a migrant background, particularly during the initial wave of COVID-19 hospitalisations and for middle and low urgency procedures. While reductions in non-COVID related healthcare decreased following the initial shock of the pandemic, inequalities persist throughout 2020 and 2021. Our results demonstrate that the pandemic has not only had an unequal toll in terms of the direct health burden of the pandemic, but has also had a differential impact on the use of non-COVID healthcare.

The role of mesolevel characteristics of the health care system and socioeconomic factors on health care use – results of a scoping review

BackgroundBesides macrolevel characteristics of a health care system, mesolevel access characteristics can exert influence on socioeconomic inequalities in healthcare use. These reflect access to healthcare, which is shaped on a smaller scale than the national level, by the institutions and establishments of a health system that individuals interact with on a regular basis. This scoping review maps the existing evidence about the influence of mesolevel access characteristics and socioeconomic position on healthcare use. Furthermore, it summarizes the evidence on the interaction between mesolevel access characteristics and socioeconomic inequalities in healthcare use.MethodsWe used the databases MEDLINE (PubMed), Web of Science, Scopus, and PsycINFO and followed the ‘Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols extension for scoping reviews (PRISMA-ScR)’ recommendations. The included quantitative studies used a measure of socioeconomic position, a mesolevel access characteristic, and a measure of individual healthcare utilisation. Studies published between 2000 and 2020 in high income countries were considered.ResultsOf the 9501 potentially eligible manuscripts, 158 studies were included after a two-stage screening process. The included studies contained a wide spectrum of outcomes and were thus summarised to the overarching categories: use of preventive services, use of curative services, and potentially avoidable service use. Exemplary outcomes were screening uptake, physician visits and avoidable hospitalisations. Access variables included healthcare system characteristics such as physician density or distance to physician. The effects of socioeconomic position on healthcare use as well as of mesolevel access characteristics were investigated by most studies. The results show that socioeconomic and access factors play a crucial role in healthcare use. However, the interaction between socioeconomic position and mesolevel access characteristics is addressed in only few studies.ConclusionsSocioeconomic position and mesolevel access characteristics are important when examining variation in healthcare use. Additionally, studies provide initial evidence that moderation effects exist between the two factors, although research on this topic is sparse. Further research is needed to investigate whether adapting access characteristics at the mesolevel can reduce socioeconomic inequity in health care use.

Income-Related Inequities in Primary and Specialist Care Among First Nations Peoples Living Off-Reserve in Canada.

Improving equity in healthcare is a primary goal of health policy in Canada. Although the investigation of equity in healthcare utilization is common in the general population, little research has been conducted to assess equity in healthcare utilization within First Nations peoples living in Canada. To examine income-related inequities in primary care (family doctor/general practitioner and nurse practitioner care) and specialist care within status and non-status First Nations adults living off-reserve. Using the 2017 Aboriginal Peoples Survey (APS), a nationally representative survey of Indigenous peoples living off-reserve in Canada, we analyzed income-related inequities in healthcare among Indigenous adults (>18 years) who self-identified as a member of any First Nations group in Canada. Logistic regression analysis was performed to identify factors associated with the utilization of primary and specialist care. The Horizontal Inequity index (HI), which measures unequal healthcare use by income for equal need, was used to quantify and decompose income-related inequities for primary and specialist care for status and non-status, and total First Nations groups. The regression results revealed higher primary and specialist care use among females, high socioeconomic status (high income and more educated) and status First Nations peoples in Canada. The positive values of the HI suggested a higher concentration of primary care and specialist care utilization among higher income First Nations peoples after adjusting for healthcare need. These pro-rich inequities persisted for the total First Nations populations, and for those in each status group individually. The decomposition results suggested observed inequities in both primary and specialist care among First Nations peoples can be predominantly attributed to the unequal distribution of education and income. Although primary and specialist services in Canada are free at the point of the provision, we found pro-rich inequities in healthcare use among First Nations adults living off-reserve in Canada. These results warrant policies and initiatives to address barriers to healthcare use within and outside health system among low-income First Nations peoples living off-reserve.

Analysis of education level in access and use of health care services, ISA-Capital, São Paulo, Brazil, 2003 and 2015.

The great socioeconomic inequality that prevails in Brazil and the existence of a national health system with universal coverage places the need to monitor the evolution and social inequities regarding access to these services. This study aims to analyze the changes in the prevalence of health care use and the extent of social inequality in the demand, use and, access, resolution of health problems, satisfaction, and health care use of Brazilian Unified National Health System (SUS) according to education levels in the population living in the urban area of the Municipality of São Paulo, in 2003 and 2015. We analyzed data from two population-based household health surveys (Health Survey in São Paulo City - ISA-Capital) from 2003 and 2015. Dependent variables related to health care use in the two weeks preceding the survey and due to diseases included demand, access, satisfaction, problem resolution, and the public or private nature of the service. Prevalence was estimated using level of education and prevalence ratios (PR) by the Poisson regression. In the period, the demand for health care, access, resolution, and use of public health care increased from 2003 to 2015. Inequities in public health care use changed from 2003 to 2015 according to level of education. We found no social inequities in health care use in the municipality of São Paulo regarding demand, access, satisfaction, and resolution according to levels of education. Results show progress in the use and resolution of health care services, as well as the strong concentration of the use of SUS by the population with lower education. Results indicate the progress that SUS has made, but also show persistent challenges in the use and access to services.

Health System Performance Assessment: how equitable is the Belgian health system?

Abstract Access to and delivery of effective, high quality and affordable healthcare are fundamental objectives that have shaped health policy and the universal health insurance system in Belgium. A health system should be evaluated against these objectives. Monitoring equity within a health system - an equitable distribution of healthcare use and of payments for healthcare - is a core component of a health system performance assessment. We use the horizontal equity principle to evaluate equity in healthcare use in Belgium. Unfair inequality in healthcare use is measured by the fairness gap, comparing actual use and expected use corrected for needs. The empirical analysis was conducted using a linked dataset which contains data from the European Union Statistics on Income and Living Conditions (EU-SILC) and administrative data. Two sets of results are reported for a selected set of indicators of use: the deviation between the average fairness gap in the population and the average fairness gap in a subgroup of interest and an assessment of systematic socioeconomic inequity in the fairness gap using the absolute concentration index. We show that important socioeconomic inequities in healthcare use exist. Inequities differ by type of care, e.g., the use of hospital care and medications is more equitable than the use of GP, outpatient specialist and dental care. When accounting for healthcare needs, we find that use among high-income groups and individuals with a high educational attainment is higher compared to financially vulnerable groups (individuals at risk of poverty or with severe material deprivation, unemployed, singles). Also, individuals who are entitled to an increased reimbursement of healthcare costs, show a lower use of outpatient specialist care than expected based on their care needs. On the other hand, increased reimbursement is effective in improving accessibility to GP care, while for other financially vulnerable individuals we find a lower use of GP care.

Social and spatial inequalities in healthcare use among people living with dementia in England (2002–2016)

Objectives Healthcare services for people living with dementia (PLWD) are stretched, and government promises of increased funding remain undelivered. With the UK dementia population to surpass 1 million by 2024, and dementia care costs predicted to almost treble by 2040, it is essential we understand differences in healthcare use among PLWD. This study aimed to explore social and spatial variations in healthcare use among people diagnosed with dementia (2002–2016). Methods Data were derived from Electronic Health Records of Clinical Practice Research Datalink GP patients in England (n = 142,302). To standardise healthcare contacts, rates of healthcare contacts per year were calculated for three primary (GP observations and medications) and three secondary healthcare types [Accident & Emergency (A&E) attendances and, emergency and elective hospital admissions]. Fully-adjusted generalised linear regression models were used to identify healthcare use variation by social and spatial groups. Twelve models were generated, one for each healthcare type in early- and late-onset populations separately. Results This study highlights numerous social and spatial variations in healthcare use among PLWD. Among PLWD, several groups tended to have healthcare service use more closely associated with negative outcomes, including a greater likelihood of A&E attendances and emergency and elective hospital admissions. These groups include: men, people from White ethnicity groups and people from more deprived and rural areas. Conclusions Systemic and social measures are needed to reduce variations in healthcare use inequalities in PWLD. These include greater healthcare continuity, health checks and medicines reviews, culturally appropriate services, better and more accessible treatment and improved infrastructure.

Socioeconomic inequality in health care use among cancer patients in China: Evidence from the China health and retirement longitudinal study.

BackgroundCancer is a major public health problem worldwide and the leading cause of death in China, with increasing incidence and mortality rates. This study sought to assess socioeconomic-related inequalities in health care use among cancer patients in China and to analyze factors associated with this disparity.MethodsThis study used data collected for the China Health and Retirement Longitudinal Study in 2018. Patients who reported having cancer were included. The annual per capita household expenditure was classified into five groups by the quintile method. We calculated the distribution of actual, need-predicted, and need-standardized health care use across different socioeconomic groups among patients with cancer. The concentration index (CI) was used to evaluate inequalities in health care use. Influencing factors of inequalities were measured with the decomposition method.ResultsA total of 392 people diagnosed with cancer were included in this study. The proportion of cancer patients who utilized outpatient and inpatient services was 23.47% and 40.82%, respectively, and the CIs for actual outpatient and inpatient service use were 0.1419 and 0.1960. The standardized CIs (CI for outpatient visits = 0.1549; CI for inpatient services = 0.1802) were also both positive, indicating that affluent cancer patients used more health services. The annual per capita household expenditure was the greatest factor favoring the better-off, which contributed as much as 78.99% and 83.92% to the inequality in outpatient and inpatient services use, followed by high school education (26.49% for outpatient services) and living in a rural village (34.53% for inpatient services). Urban Employee Basic Medical Insurance exacerbated the inequality in inpatient services (21.97%) while having a negative impact on outpatient visits (−22.19%).ConclusionsThere is a pro-rich inequality in outpatient and inpatient services use among cancer patients in China. A lower socioeconomic status is negatively associated with cancer care use. Hence, more targeted financial protection for poor people would relieve cancer patients of the burden caused by the high cost of cancer care.

Socioeconomic inequalities in health care utilization in Paraguay: Description of trends from 1999 to 2018.

ObjectiveParaguay’s health care system is characterized by segmented provision and low public spending, with limited coverage and asymmetries in terms of access and quality of care. The present study provides national estimates of income-related inequality in health care utilization and trends in the country over the past two decades.MethodsUsing data from the Paraguayan Permanent Household Survey, we estimated socioeconomic inequality in health care use during the period 1999–2018. We used poverty-to-income ratio as the socioeconomic stratifier and defined health care use as having reported a health problem and subsequent health care use in the last 90 days before interview. Inequality was summarized by rank- and level-based versions of the Concentration Index for binary outcomes.ResultsInequalities affecting those with lower incomes were present in all years assessed, although the magnitude of these inequalities declined over time. Inequality as expressed by the rank-based index decreased from 0.209 (95%CI 0.164; 0.253) in 1999 to 0.032 (95%CI -0.010; 0.075) in 2018. The level-based index decreased from 0.076 (95%CI -0.029; 0.182) in 1999 to 0.024 (0.002; 0.045) in 2018. Trends in both indices were generally stable from 1999 to 2009, with a noticeable decrease in 2010. The sharpest decreases relative to the 1999 baseline were observed in the period 2010–2018, reflecting changes in health care use and income distribution. Stratification by area, sex and older people suggest similar trends within subgroups.ConclusionsDecreases in inequality coincide temporally with increments in public health expenditure, removal of user fees in public health care facilities and the expansion of conditional cash-transfer programmes. Future research should disentangle the role of each of these policies in explaining the trends described.

Socioeconomic Inequalities in Elective and Nonelective Hospitalizations in Older Men

Among older adults, there is limited and inconsistent evidence on the association between socioeconomic position (SEP) and elective and nonelective hospitalization. To evaluate the association between SEP and all-cause and cause-specific elective and nonelective hospitalization and hospital length of stay among older men. This population-based, prospective cohort study used data from the Concord Health and Aging in Men Project (CHAMP). CHAMP recruited 1705 men aged 70 years or older between January 28, 2005, and June 4, 2007, in Sydney, Australia. Data were analyzed from February 1 to September 30, 2021. Indicators of SEP, including education (university degree certificate, diploma or no postschool qualifications), occupation (professionals and managers; small employers and self-employed; or lower clerical, service, sales workers, skilled, and unskilled workers), and source of income (other sources of income than government pension, reliance on government pensions and other sources of income, or reliant solely on a government pension), and a cumulative SEP score (tertiles) as SEP indicators; 3-level variables present high, intermediate, and low SEP. All-cause and cause-specific elective and nonelective hospitalizations, number of hospitalizations, and length of stay were the study outcomes, ascertained through data linkage. Associations were quantified using competing-risks survival regression and negative binomial regression. A total of 1566 men (mean [SD] age, 76.8 [5.4] years) were included. During a mean (SD) 9.07 (3.53) years of follow-up, 1067 men had at least 1 elective hospitalization, and 1255 men had at least 1 nonelective hospitalization. No associations were found between SEP and elective hospitalizations. Being in the lowest tertile for educational level (subhazard ratio [SHR], 1.32; 95% CI, 1.11-1.58), occupational position (SHR, 1.30; 95% CI, 1.12-1.50), sources of income (SHR, 1.33; 95% CI, 1.17-1.52), and cumulative SEP tertile groups (SHR, 1.45; 95% CI, 1.24-1.68) were all associated with having at least 1 nonelective hospitalization compared with those in the highest tertiles. Significant associations were found between being in the lowest SEP groups and increased numbers and longer length of stay of nonelective hospitalizations. In this prospective cohort study, low SEP was inversely associated with nonelective hospitalizations but not elective hospitalization in older men in Australia. These findings point to the existence of socioeconomic inequalities in health care use, indicative of a need to take action to reduce these inequalities.

Ethnic Inequalities in Healthcare Use and Care Quality among People with Multiple Long-Term Health Conditions Living in the United Kingdom: A Systematic Review and Narrative Synthesis.

Indicative evidence suggests that the prevalence of multiple long-term conditions (i.e., conditions that cannot be cured but can be managed with medication and other treatments) may be higher in people from minoritised ethnic groups when compared to people from the White majority population. Some studies also suggest that there are ethnic inequalities in healthcare use and care quality among people with multiple long-term conditions (MLTCs). The aims of this review are to (1) identify and describe the literature that reports on ethnicity and healthcare use and care quality among people with MLTCs in the UK and (2) examine how healthcare use and/or care quality for people with MLTCs compares across ethnic groups. We registered the protocol on PROSPERO (CRD42020220702). We searched the following databases up to December 2020: ASSIA, Cochrane Library, EMBASE, MEDLINE, PsycINFO, PubMed, ScienceDirect, Scopus, and Web of Science core collection. Reference lists of key articles were also hand-searched for relevant studies. The outcomes of interest were patterns of healthcare use and care quality among people with MLTCs for at least one minoritised ethnic group, compared to the White majority population in the UK. Two reviewers, L.B. and B.H., screened and extracted data from a random sample of studies (10%). B.H. independently screened and extracted data from the remaining studies. Of the 718 studies identified, 14 were eligible for inclusion. There was evidence indicating ethnic inequalities in disease management and emergency admissions among people with MLTCs in the five studies that counted more than two long-term conditions. Compared to their White counterparts, Black and Asian children and young people had higher rates of emergency admissions. Black and South Asian people were found to have suboptimal disease management compared to other ethnic groups. The findings suggest that for some minoritised ethnic group people with MLTCs there may be inadequate initiatives for managing health conditions and/or a need for enhanced strategies to reduce ethnic inequalities in healthcare. However, the few studies identified focused on a variety of conditions across different domains of healthcare use, and many of these studies used broad ethnic group categories. As such, further research focusing on MLTCs and using expanded ethnic categories in data collection is needed.

Evolution of inequalities in health care use among older people in Brazil: Evidence for the period 1998–2019

• Health care inequality decreased for mammography and doctor visits. • For dentist visits, inequality in healthcare increased in the period. • Income and private health insurance have a strong contribution to inequalities. • The inequities are higher in the urban area, but the health care use is higher in that area. • Differences in access between urban and rural areas are still significant. This study aimed to analyze inequalities and inequities in health care for older people (50 years or more) in Brazil, in the period 1998–2019. We sought to measure and analyze the evolution of the concentration index (CI), horizontal index (HI) and decompositions of the CI. The evolution of the indices shows that there was a decrease in health care use inequities for doctor visits and mammography; in this first case the reduction was greater for rural areas, while for mammography the reduction was greater and significant for urban areas. However, despite increases in the prevalence of going to the dentist in different income strata, inequities have increased, showing that the benefits were greater for the wealthier individuals. Regarding the decomposition of factors associated with inequality, we can see that income and private health insurance appear as important variables in all cases. Thus, considering that older people increasingly demand health care, despite the advances made in this area, there are still important challenges. The inequities, mainly for mammography and dental visits, are still high and the differences between urban and rural areas are still significant, showing that public policies can be important in the search for greater equity.

Correlation of mesolevel characteristics of the healthcare system and socioeconomic inequality in healthcare use: a scoping review protocol

IntroductionAlthough the impact of macrolevel characteristics of health systems on socioeconomic inequity in health has been studied extensively, the impact of access characteristics on a smaller scale of health systems...

Inequality and Inequity in Outpatient Care Utilization in Ethiopia: A Decomposition Analysis of Ethiopian National Health Accounts.

BackgroundInequity in healthcare use is avoidable inequality, and it exists when there are differences in the use of healthcare after standardization of different needs among the population. In Ethiopia, wide variation and lower achievement exists in outpatient visit per person per year against the target to reach by 2020. Therefore, this study is aimed at measuring inequalities and inequities in outpatient care utilization in Ethiopia.MethodsThe study utilized data from 2015/16 Ethiopian National Health Account survey. The analysis included a weighted sample of 42,460 individuals. Concentration curve and indices were used to measure inequality in outpatient care utilization. Deviations in the degree to which outpatient care was distributed according to need were measured by the horizontal inequity index. All statistical analyses were done using STATA version 14. In all analyses statistical significance was declared at a p-value < 0.05 and a 95% confidence interval.ResultsThe outpatient care utilizations were found to be concentrated among the rich. The actual (C = 0.0335, 95% CI: 0.0298, 0.0431) and need predicted (C = 0.0157, 95% CI: 0.0117, 0.0413) utilizations were concentrated among the rich. The distributions of outpatient care in Ethiopians were pro-rich (rich-favoring). The decomposition analysis revealed that need factors were the main positive contributors to the inequality (23.6%) and non-need factors were among the negative contributors to the inequality (−48.4%).ConclusionThis study evidenced the presence of rich-favoring inequality and inequity in outpatient care utilization in Ethiopia. Therefore, there is a need to consider implementation strategies that focus on fairness in healthcare utilization.

Inequality in healthcare use among older people in Colombia

BackgroundSince the early 1990s, Colombia has made great strides in extending healthcare coverage to its population. In order to measure the impact of these efforts, it is important to assess whether the introduction of universal health coverage has translated into equitable access to healthcare in the country, particularly for the elderly. Thus, in this study we assessed the inequality in utilization of health services among elderly patients in Colombia. In addition, we identified the determinants of healthcare utilization.MethodsWe analyzed the 2015 Colombian health, well-being and aging study (SABE). To classify determinants of healthcare use into predisposing, enabling and need factors, we employed the Anderson framework of healthcare utilization. Use of outpatient, inpatient and preventive health services constituted the dependent variables. We performed multivariate logistic regressions, estimated concentration indexes (CI) and performed decomposition analyses of the CIs to determine the contribution of various determinants to inequality of healthcare utilization.ResultsThe study sample included 23,694 adults over 60-years-old. Wealth quintile, urban dwelling, health insurance type and multimorbidity predicted the utilization of all types of healthcare services except for hospitalization. Aside from inpatient care, pro-rich inequality in utilization of healthcare services was present. Wealth quintile and type of health insurance were the largest contributors to pro-rich inequality in use of preventive services.ConclusionsWhile there has been progress in health insurance coverage for the elderly in Colombia, there are still equality challenges in the delivery of healthcare, especially for preventive and outpatient care. These inequalities are driven by individual characteristics such as wealth, urban residence, type of health insurance carried, and presence of multimorbidity. To address this issue, the Colombian health system should extend health insurance coverage to uninsured populations, as well as reduce barriers of access to healthcare services among poorest and the rural population receiving subsidized insurance.

Educational Inequalities in Hospital Use Among Older Adults in England, 2004-2015.

Policy Points US policymakers considering proposals to expand public health care (such as “Medicare for all”) as a means of reducing inequalities in health care access and use could learn from the experiences of nations where well‐funded universal health care systems are already in place.In England, which has a publicly funded universal health care system, the use of core inpatient services by adults 65 years and older is equal across groups defined by education level, after controlling for health status. However, variation among these groups in the use of outpatient and emergency department care developed between 2010 and 2015, a period of relative financial austerity.Based on England's experience, introducing universal health care in the United States seems likely to reduce, but not entirely eliminate, inequalities in health care use across different population groups. ContextExpanding access to health care is once again high on the US political agenda, as is concern about those who are being “left behind.” But is universal health care that is largely free at the point of use sufficient to eliminate inequalities in health care use? To explore this question, we studied variation in the use of hospital care among education‐level‐defined groups of older adults in England, before and after controlling for differences in health status. In England, the National Health Service (NHS) provides health care free to all, but the growth rate for NHS funding has slowed markedly since 2010 during a widespread austerity program, potentially increasing inequalities in access and use.MethodsNovel linkage of data from six waves (2004‐2015) of the English Longitudinal Study of Ageing (ELSA) with participants’ hospital records (Hospital Episode Statistics [HES]) produced longitudinal data for 7,713 older adults (65 years and older) and 25,864 observations. We divided the sample into three groups by education level: low (no formal qualifications), mid (completed compulsory education), and high (at least some higher education). Four outcomes were examined: annual outpatient appointments, elective inpatient admissions, emergency inpatient admissions, and emergency department (ED) visits. We estimated regressions for the periods 2004‐2005 to 2008‐2009 and 2010‐2011 to 2014‐2015 to examine whether potential education‐related inequalities in hospital use increased after the growth rate for NHS funding slowed in 2010.FindingsFor the study period, our sample of ELSA respondents in the low‐education group made 2.44 annual outpatient visits. In comparison, after controlling for health status, we found that participants in the high‐education group made an additional 0.29 outpatient visits annually (95% confidence interval [CI], 0.11‐0.47). Additional outpatient health care use in the high‐education group was driven by follow‐up and routine appointments. This inequality widened after 2010. Between 2010 and 2015, individuals in the high‐education group made 0.48 (95% CI, 0.21‐0.74) more annual outpatient visits than those in the low‐education (16.9% [7.5% to 26.2%] of annual average 2.82 visits). In contrast, after 2010, the high‐education group made 0.04 (95% CI, −0.075 to 0.001) fewer annual ED visits than the low‐education group, which had a mean of 0.30 annual ED visits. No significant differences by education level were found for elective or emergency inpatient admissions in either period.ConclusionsAfter controlling for demographics and health status, there was no evidence of inequality in elective and emergency inpatient admissions among the education groups in our sample. However, a period of financial budget tightening for the NHS after 2010 was associated with the emergence of education gradients in other forms of hospital care, with respondents in the high‐education group using more outpatient care and less ED care than peers in the low‐education group. These estimates point to rising inequalities in the use of hospital care that, if not reversed, could exacerbate existing health inequalities in England. Although the US and UK settings differ in many ways, our results also suggest that a universal health care system would likely reduce inequality in US health care use.

Inequity in healthcare use among the indigenous population living in non-remote areas of Australia

ObjectivesAlthough several studies have examined the gap in healthcare use between indigenous and non-indigenous people, empirical evidence on inequity in healthcare use within indigenous populations is limited. This study aims to fill this gap in the literature by investigating income-related inequity (unequal use for equal need) in healthcare use among indigenous Australians living in non-remote areas. Study designThis is a cross-sectional study. MethodsThis study used data from the Australian Aboriginal and Torres Strait Islander Health Survey, 2012–13. Logistic regression analysis was used to determine the association of income with the probability of a general practitioner (GP) visit, a specialist visit and inpatient admission. The horizontal inequity (HI) index and decomposition analysis were also used to quantify and explain inequity in healthcare use. ResultsNo consistent association was found between income and the probability of GP visit or inpatient admission after controlling for health need. However, the likelihood of visiting a specialist was about three times (odds ratio = 2.96, P = 0.028) higher for the richest compared with the poorest population subgroups. The inequity index was 0.016 (P < 0.001), indicating a pro-rich inequity for the probability of visiting a specialist. Income inequality, unequal distribution of private health insurance and inequality in education were the main factors explaining the pro-rich inequity in specialist utilisation. ConclusionsAlthough there was no income-related inequity in GP visits or inpatient admissions, wealthier indigenous Australians had a higher probability of visiting a specialist than their poorer counterparts, after adjusting for need. Specific policies and initiatives are required to address the inequity faced by low-income indigenous people in Australia.

The equity impact of a universal child health promotion programme

Abstract Background We aimed to evaluate whether the Salut Programme, a universal child health promotion intervention, aimed to strengthen healthy lifestyles in northern Sweden, had any effect on income-related inequalities in positive birth outcomes for children and on healthcare use for children and their mothers. Methods Mother’s residence and child’s date of birth determined whether the child and the mother belonged to the control group (areas that received care-as-usual) or the intervention group (areas with the intervention implemented from 2005), during the pre-measure period (children born 2002-2004) and the post-measure period (children born 2006-2008). The sum of parents’ taxable income was used for socioeconomic ranking. We computed the standard concentration index for six binary indicators of positive birth outcomes, and for inpatient and day patient care for children and mothers during the two years after delivery. Using a difference-in-difference approach, we assessed whether the extent of inequality changed over time between areas. Results Income-related inequalities in child health status at birth and in child healthcare use were absent, except that full-term pregnancies were concentrated among the poor at pre-measure in the intervention group. However, mothers’ healthcare use was significantly pro-poor in the control group. The extent of inequality changed between pre- and post-measure periods for two outcomes: the pro-poor concentration of full-term pregnancies in the intervention group at pre-measure disappeared at post-measure; and an increase in pro-poor concentration of normal birth weight in the control group was not matched by a similar increase in the intervention group. Inequalities in healthcare use did not change significantly. Conclusions Birth outcomes and child healthcare use seemed to be equitably distributed. However, the results raise concerns whether the intervention may have reduced the pro-poor concentration of positive birth outcomes. Key messages There are concerns that participation in universal health promotion programmes differs by socioeconomic status, although few public health interventions have been evaluated from an equity perspective. Birth outcomes and child healthcare use in Northern Sweden seemed to be equitably distributed across different socioeconomic groups.