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

BACKGROUND: 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. OBJECTIVE: 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. METHODS: 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. RESULTS: 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. CONCLUSION: 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.

Comparison of body pressure distribution in healthy subjects between bubble wrap and an emergency mattress laid on a cardboard bed: a randomized controlled crossover trial.

Background: It has been pointed out that the poor environment of evacuation shelters causes health problems and disaster-related deaths among evacuees, and we are concerned that their environment will deteriorate, particularly during a large-scale disaster due to a shortage of daily necessities. In Japan, evacuees usually slept on floors with futons until the Great East Japan Earthquake, but cardboard beds were installed in evacuation shelters. Previous studies have suggested that cardboard beds can reduce cold air transmission from the floor. We have reported that a cardboard bed can have a low-contact pressure dispersion capacity and cannot reduce musculoskeletal strain, unlike a futon or mattress. In the Great East Japan Earthquake, 33% of disaster-related deaths were reported to have been caused by physical or mental fatigue due to living in evacuation shelters. When a large-scale disaster such as the Nankai Trough Earthquake generates huge numbers of evacuees, the supply of mattresses for evacuees will be very difficult. Therefore, we considered potential alternatives that could be produced in large quantities over a short period. Bubble wrap, with very lightweight and waterproofing, could be a good candidate for mattress replacement. This study aimed to investigate the improvement in body pressure distribution and pressure-sensing area when using bubble wrap. Methods: Twenty-seven healthy subjects allocated to sequences A and B with different intervention order were laid in supine and lateral positions on a cardboard bed without a mattress, bubble wrap, or air mattress: the mattress-body contact pressure and contour areas were measured, and subjective firmness and comfort during these conditions were also investigated using the visual analog scale (VAS). Acquired data were analyzed using a linear mixed-effects model and Bonferroni's post-hoc test, and P < 0.05 was considered statistically significant. Results: The mattress-body contact pressure and contour area showed significant differences with and without air mattresses. With the air mattresses, the pressure in the supine position decreased by 34%, and that in the lateral position decreased by 13%. However, the four-fold bubble wrap did not improve the mattress-body contact pressure and contour area; the change ratios were within 5% compared to the cardboard bed. However, there were significant differences in subjective firmness and comfort using the VAS among all experimental positions. Conclusion: Our study showed that bubble wrap could not significantly improve body pressure concentration and may not be a satisfactory substitute for air mattresses. Because of the improvement in subjective firmness and comfort with the bubble wrap, using it for an extended period may affect the incidence of back pain in evacuees. Finally, we hypothesize that the body pressure dispersion of the bubble wrap may be improved by changing the air-filling rate and the size of the air bubbles.

Trajectories of the socioeconomic gradient of mental health: Results from the CLSA COVID-19 Questionnaire Study.

As the coronavirus disease (COVID-19) pandemic prolongs, documenting trajectories of the socioeconomic gradient of mental health is important. We describe changes in the prevalence and absolute and relative income-related inequalities of mental health between April and December 2020 in Canada. We used data from the Canadian Longitudinal Study on Aging (CLSA) COVID-19 Questionnaire Study and the pre-pandemic CLSA Follow-up 1. We estimated the prevalence proportion, the concentration index (relative inequality), and the generalized concentration index (absolute inequality) for anxiety and self-reported feeling generally unwell at multiple points in April-December 2020, overall, by sex and age group, by region, and among those who reported poor or fair overall health and mental health pre-pandemic. Overall, the prevalence of anxiety remained unchanged (22.45 to 22.10%, p = 0.231), but self-reported feeling generally unwell decreased (9.83 to 5.94%, p = 0.004). Relative and absolute income-related inequalities were unchanged for both anxiety and self-reported feeling generally unwell, with exceptions of an increased concentration of self-reported feeling generally unwell among the poor, measured by the concentration index, overall (-0.054 to -0.115, p = 0.004) and in Ontario (-0.035 to -0.123, p = 0.047) and British Columbia (-0.055 to -0.141, p = 0.044). The COVID-19 pandemic appeared to neither exacerbate nor ameliorate existing income-related inequalities in mental health among older adults in Canada between April and December 2020. Continued monitoring of inequalities is necessary.

Personal Responsibility for Health: Exploring Together with Lay Persons.

Emerging parallel to long-standing, academic and policy inquiries on personal responsibility for health is the empirical assessment of lay persons' views. Yet, previous studies rarely explored personal responsibility for health among lay persons as dynamic societal values. We sought to explore lay persons' views on personal responsibility for health using the Fairness Dialogues, a method for lay persons to deliberate equity issues in health and health care through a small group dialogue using a hypothetical scenario. We conducted two 2-h Fairness Dialogues sessions (n = 15 in total) in Nova Scotia, Canada. We analyzed data using thematic analysis. Our analysis showed that personal choice played an important role in participants' thinking about health. Underlying the concept of personal choice was considerations of freedom and societal debt. In participants' minds, personal and social responsibilities co-existed and they were unwilling to determine health care priority based on personal responsibility. The Fairness Dialogues is a promising deliberative method to explore lay persons' views as dynamic values to be developed through group dialogues as opposed to static, already-formed values waiting to be elicited.

The Prevalence and Characteristics of Non-Transports in a Provincial Emergency Medical Services System: A Population-Based Study.

BACKGROUND: Emergency Medical Services (EMS) provide patients with out-of-hospital care, but not all patients are transported to the hospital. Non-transport represents an often undefined yet potentially significant risk for poor clinical outcomes. Few North American studies have quantified this risk. OBJECTIVE: The objectives of this study were to determine the prevalence of non-transport and 48-h adverse event (composite of relapse responses that resulted in transport or death) and to identify characteristics associated with either outcome. METHODS: An analysis of pooled cross-sectional, population-based administrative data from the provincial EMS electronic charting system in 2014 was conducted. Determination of non-transport was based on recorded call outcome. The data were searched by patient identifiers to determine the 48-h adverse event rate. Paramedic-documented patient, operational, and environmental characteristics were included in the logistic regression models. RESULTS: Of 74,293 emergency responses, 14,072 (18.9%) were non-transport and, of those, 798 (5.6%) resulted in a 48-h adverse event. The characteristics statistically significantly and independently associated with non-transport and 48-h adverse event were younger age (odds ratio [OR] 1.72; 99.9% confidence interval [CI] 1.46-2.02), nonspecific paramedic clinical impression (OR 5; 99.9% CI 4.48-5.57), more than 7 comorbidities (OR 0.47; 99.9% CI 0.42-0.53), and incident location (jail) (OR 2.88; 99.9% CI 2.22-3.74). CONCLUSIONS: This study provides an estimate of prevalence of non-transports and 48-h adverse event in a provincial mixed rural-urban EMS system. The results of this study describe the scope of non-transport and present several characteristics associated with non-transport. Future study should examine the appropriateness of EMS responses and methods to mitigate risk of adverse event after non-transport.

Nurse Navigators' Views on Patient and System Factors Associated with Navigation Needs among Women with Breast Cancer.

Coordinating breast cancer treatment is a complex task that can overwhelm patients and their support networks. Though the Cancer Patient Navigator (CPN) program in Nova Scotia (NS) provides professional assistance to patients, certain groups of patients may still face barriers to accessing its services. Employing interviews and a modified Delphi approach with CPN participants, this study sought to identify factors associated with the need for navigation to help better target CPN program referrals among breast cancer patients. Six CPNs were recruited directly through the CPN program manager for interviews and surveys. The CPNs identified 27 different factors, which were divided into 4 categories: sociodemographic, psychological, clinical and health systems. While these patient factors (particularly sociodemographic) are not directly modifiable, awareness of their association with the need for navigation could be used to better target patients with a high need for navigation for referral to CPN services.

Explaining the gaps in psychological distress and suicidal behaviours between non-Indigenous and Indigenous adults living off-reserve in Canada: a cross-sectional study.

BACKGROUND: Indigenous people are disproportionately affected by mental health issues in Canada. We investigated factors underlying the difference in psychological distress and suicidal behaviours between non-Indigenous and Indigenous populations living off-reserve in Canada. METHODS: We conducted a cross-sectional study using data from the 2012 Canadian Community Health Survey - Mental Health. Respondents were aged 18 years and older. We measured the variation in psychological distress (10-item Kessler Psychological Distress Scale scores, ranging from 10 [no distress] to 50 [severe distress]) and the prevalence of lifetime suicidal ideation and suicide plan between the Indigenous and non-Indigenous populations and explained these differences using the Blinder-Oaxaca approach. RESULTS: The overall response rate for the survey was 68.9%, comprising 18 300 respondents (933 Indigenous and 17 367 non-Indigenous adults). We found lower mean psychological distress scores among non-Indigenous people than among Indigenous people (15.1 v. 16.1, p < 0.001) and a lower prevalence of lifetime suicidal ideation (9.2% v. 16.8%, p < 0.001) and plan (2.3% v. 6.8%, p < 0.001). We found that if socioeconomic status among Indigenous people were made to be similar to that of the non-Indigenous population, the differences in mean psychological distress scores and prevalence of lifetime suicidal ideation and suicide plan would have been reduced by 25.7% (women 20.8%, men 36.9%), 10.2% (women 11.2%, men 11.9%) and 5.8% (women 7.8%, men 8.1%), respectively. INTERPRETATION: Socioeconomic factors account for a considerable proportion of the variation in mental health outcomes between non-Indigenous and Indigenous populations in Canada. Improving socioeconomic status among Indigenous people through plans like income equalization may reduce the gap in mental health outcomes between the 2 populations in Canada.

Cautionary tails of grip strength in health inequality studies: An analysis from the Canadian longitudinal study on aging.

Self-rated health is widely used in studies of the socioeconomic gradient of health in community-based populations. Its subjectivity may lead to under- or over-estimation of a true underlying socioeconomic gradient and has increased interest in searching for alternative, objective measures of health. Grip strength has emerged as one such alternative for community-based older populations, yet no study has directly assessed the relationship between these two measures and compared their associations with socioeconomic status and health behaviours. Using 26,754 participants aged 45-85 years in the baseline data of the Canadian Longitudinal Study on Aging Comprehensive Cohort, we estimated adjusted-grip strength through indirect standardization using age, sex, height, weight, and their square terms and used ANOVA to assess the variance of adjusted-grip strength within and between each self-rated health category. We ran four separate logistic regression models, examining unhealthy tails (those reporting poor health vs. not and those at the bottom 8th percentile of adjusted-grip strength vs. above) and healthy tails (those reporting excellent health vs. not and those at the top 20th percentile of adjusted-grip strength vs. below). Stronger adjusted-grip strength correlated with better self-rated health, but only 2% of the total variance of adjusted-grip strength was explained by variance between the self-rated health categories. While self-rated health largely showed the expected socioeconomic gradients and positive relationships with health enhancing behaviours, adjusted-grip strength showed no clear, consistent associations with either socioeconomic or health behaviour variables. The results give caution about using grip strength as an objective alternative to self-rated health in studies of social inequalities in health. Empirical approaches demand careful considerations as to which dimensions of health and corresponding measures of health are most relevant to the context being studied.

Socioeconomic inequalities in psychological distress and suicidal behaviours among Indigenous peoples living off-reserve in Canada.

BACKGROUND: Indigenous peoples in Canada have high rates of psychological distress and suicide. We sought to assess the socioeconomic inequalities in psychological distress and suicidal behaviours, and the factors that explain them within Indigenous peoples living off-reserve. METHODS: Using the nationally representative 2012 Aboriginal Peoples Survey collected from Indigenous adults living off-reserve in Canada, we measured income-related inequalities in psychological distress (measured on the 10-item Kessler Psychological Distress Scale) and suicidal behaviours (suicidal ideation and suicide attempt) and identified factors contributing to these inequalities using the concentration index (C) approach. RESULTS: Among 14 410 individuals representing 600 750 Indigenous adults (aged ≥ 18 yr) living off-reserve in Canada, the mean score of psychological distress was 16.1; 19.4% reported lifetime suicidal ideation and 2.2% reported a lifetime suicide attempt. Women had higher psychological distress scores (mean score 16.7 v. 15.2, p < 0.001), and prevalence of suicidal ideation (21.9% v. 16.1%, p < 0.001) and suicide attempts (2.3% v. 2.0%, p = 0.002) than men. Poorer individuals disproportionately experienced higher psychological distress (C = -0.054, 95% confidence interval [CI] -0.057 to -0.050), suicidal ideation (C n = -0.218, 95% CI -0.242 to -0.194) and suicide attempts (C n = -0.327, 95% CI -0.391 to -0.263). Food insecurity and income, respectively, accounted for 40.2% and 13.7% of the psychological distress, 26.7% and 18.2% of the suicidal ideation and 13.4% and 7.8% of the suicide attempts concentrated among low-income Indigenous peoples. INTERPRETATION: Substantial income-related inequalities in psychological distress and suicidal behaviours exist among Indigenous peoples living off-reserve in Canada. Policies designed to address major contributing factors such as food insecurity and income may help reduce these inequalities.

Health inequalities and inequities by age: Stability for the Health Utilities Index and divergence for the Frailty Index.

Successful aging is an important policy goal in an aging society. A key indicator of successful aging of a population is whether health inequalities (differences) and inequities (unfair differences) in the population increase or decrease with age. This study investigates how health inequalities and inequities differ across age groups in the Canadian population within the equity framework of equal opportunity for health, using two popular measures of health, the Health Utilities Index Mark 3 (HUI) and the Frailty Index (FI). We use the 2009-10 Canadian Health Measures Survey. We first quantify the degree of health inequality by calculating the Gini coefficient for the distributions of the HUI and the FI within three age groups (20-44, 45-64, and 65-79 years). We then identify sources of health inequality by using regression models and decomposing inequality into ethically acceptable and unacceptable components. We finally quantify the degree of health inequity by calculating the Gini coefficient for each health measure and each age group after standardizing for fairness. We find that the magnitudes of inequality and inequity in the HUI and the FI in each of the three age groups are policy relevant. The magnitude and age-related dynamics of health inequality and inequity depend on the choice of the health measures. In all three age groups, inequality and inequity in health measured by the HUI are larger than those measured by the FI. Across the three age groups, inequality and inequity are stable in the HUI but divergent in the FI. This study contributes to the methodological development to support policies for successful aging. Examination of alternative notions of health captured by the HUI and the FI contributes to the exploration of how the fair distribution of each aspect of health may characterize a successfully aging population.

Socioeconomic inequalities in health among Indigenous peoples living off-reserve in Canada: Trends and determinants.

Using three nationally representative Aboriginal Peoples Surveys (2001, 2006 and 2012, n = 68,040), we examined income-related inequalities in self-perceived poor/fair general health status among Indigenous adults (18+) living off-reserve in Canada. We used the relative and absolute concentration indices (RC and AC, respectively) to quantify income-related inequalities in health for men and women, within the three Indigenous populations (First Nations, Métis, and Inuit), and in different geographic regions. Moreover, we performed decomposition analysis to determine factors that explain income-related inequality in health within the Indigenous peoples living off-reserve in Canada. The prevalence of poor/fair health status among the Indigenous population living off-reserve increased from 18% in 2001 to 22% in 2012. The extent of pro-rich relative (absolute) income-related inequalities in health increased by 23% (42%) from 2001 to 2012. Income-related inequalities in health increased statistically significantly within First Nations and Métis populations as well as in Atlantic provinces, Ontario, Alberta, British Columbia and Territories. Decomposition analyses indicated that, besides income itself, occupational status and educational attainment were the most important factors contributing to the pro-rich distribution of health among Indigenous peoples living off-reserve. Growing socioeconomic inequalities in health among Indigenous peoples should warrant more attention. Policies designed to address the broader array of social determinants of health may mitigate the continuing inequalities in health among Indigenous peoples living off-reserve in Canada.

Considering mean and inequality health outcomes together: the population health performance index.

BACKGROUND: The purpose was to develop and test a population health measure that combines mean health outcomes and inequalities into a single GDP-like metric to help policymakers measure population health performance on both dimensions in one metric. METHODS: The Population Health Performance Index is a weighted average of a mean index and an inequality index according to the user's inequality aversion. We deploy this methodology for two combinations of health outcome and disparity domain: infant mortality by race and unhealthy days by education. RESULTS: The PHPI is bounded between 0 and 1, and is comprised of a weighted average of two separate indices: a mean index and an inequality index, with 1 representing the ideal state of no ill health and no inequality and 0 representing the worst state in the U.S. PHPI values across states (neutral 50:50 weighting) vary between 0.60 (Massachusetts) to 0.17 (Delaware) for infant mortality by race and between 0.65 (North Dakota) to 0.00 (West Virginia) for unhealthy days by education. For some states, the choice of inequality aversion significantly impacts their PHPI value and state rank. CONCLUSIONS: Mean and inequality health outcomes can be combined into a single Population Health Performance Index for use by public and private policy makers, like the GDP is used as a summary metric to measure economic output. The index can allow for varying degrees of inequality aversion, an individual's or jurisdiction's value choice that can substantially impact the value of this new summary population health metric.

Associations Between Home Death and the Use and Type of Care at Home.

Despite wishes for and benefits of home deaths, a discrepancy between preferred and actual location of death persists. Provision of home care may be an effective policy response to support home deaths. Using the population-based mortality follow-back study conducted in Nova Scotia, we investigated the associations between home death and formal care at home and between home death and the type of formal care at home. We found (1) the use of formal care at home at the end of life was associated with home death and (2) the use of formal home support services at home was associated with home death among those whose symptoms were well managed.

On Effective Graphic Communication of Health Inequality: Considerations for Health Policy Researchers.

Policy Points: Effective graphs can be a powerful tool in communicating health inequality. The choice of graphs is often based on preferences and familiarity rather than science. According to the literature on graph perception, effective graphs allow human brains to decode visual cues easily. Dot charts are easier to decode than bar charts, and thus they are more effective. Dot charts are a flexible and versatile way to display information about health inequality. Consistent with the health risk communication literature, the captions accompanying health inequality graphs should provide a numerical, explicitly calculated description of health inequality, expressed in absolute and relative terms, from carefully thought-out perspectives. CONTEXT: Graphs are an essential tool for communicating health inequality, a key health policy concern. The choice of graphs is often driven by personal preferences and familiarity. Our article is aimed at health policy researchers developing health inequality graphs for policy and scientific audiences and seeks to (1) raise awareness of the effective use of graphs in communicating health inequality; (2) advocate for a particular type of graph (ie, dot charts) to depict health inequality; and (3) suggest key considerations for the captions accompanying health inequality graphs. METHODS: Using composite review methods, we selected the prevailing recommendations for improving graphs in scientific reporting. To find the origins of these recommendations, we reviewed the literature on graph perception and then applied what we learned to the context of health inequality. In addition, drawing from the numeracy literature in health risk communication, we examined numeric and verbal formats to explain health inequality graphs. FINDINGS: Many disciplines offer commonsense recommendations for visually presenting quantitative data. The literature on graph perception, which defines effective graphs as those allowing the easy decoding of visual cues in human brains, shows that with their more accurate and easier-to-decode visual cues, dot charts are more effective than bar charts. Dot charts can flexibly present a large amount of information in limited space. They also can easily accommodate typical health inequality information to describe a health variable (eg, life expectancy) by an inequality domain (eg, income) with domain groups (eg, poor and rich) in a population (eg, Canada) over time periods (eg, 2010 and 2017). The numeracy literature suggests that a health inequality graph's caption should provide a numerical, explicitly calculated description of health inequality expressed in absolute and relative terms, from carefully thought-out perspectives. CONCLUSIONS: Given the ubiquity of graphs, the health inequality field should learn from the vibrant multidisciplinary literature how to construct effective graphic communications, especially by considering to use dot charts.

Is Team-Based Primary Care Associated with Less Access Problems and Self-Reported Unmet Need in Canada?

As in many jurisdictions, the delivery of primary care in Canada is being transformed from solo practice to team-based care. In Canada, team-based primary care involves general practitioners working with nurses or other health care providers, and it is expected to improve equity in access to care. This study examined whether team-based care is associated with fewer access problems and less unmet need and whether socioeconomic gradients in access problems and unmet need are smaller in team-based care than in non-team-based care. Data came from the 2008 Canadian Survey of Experiences with Primary Health Care (sample size: 10,858). We measured primary care type as team-based or non-team-based and socioeconomic status by income and education. We created four access problem variables and four unmet need variables (overall and three specific components). For each, we ran separate logistic regression models to examine their associations with primary care type. We examined socioeconomic gradients in access problems and unmet need stratified by primary care type. Primary care type had no statistically significant, independent associations with access problems or unmet need. Among those with non-team-based care, a statistically significant education gradient for overall access problems existed, whereas among those with team-based care, no statistically significant socioeconomic gradients existed.

Preferred and Actual Location of Death: What Factors Enable a Preferred Home Death?

BACKGROUND: Fulfillment of patient preferences for location of dying is of continued end-of-life care interest. Of those voicing a preference, most prefer home. However the majority of deaths occur in an institutional setting. OBJECTIVES: The study objective was to report on the congruence between the last preferred and actual location of death among adult Nova Scotians who died from chronic disease, and to identify individual, illness-related, and environmental factors associated with achieving a preferred home death. METHODS: The study employed a population-based mortality follow-back telephone survey interview. Subjects were eligible death certificate identified informants (next-of-kin) of adults (aged 18+) (n = 1316) who died of advanced chronic diseases in the Canadian province of Nova Scotia between June 2009 and May 2011 who were knowledgeable about the decedent's care over the last month of life. Congruence was assessed as to whether or not the decedent died in their preferred death location. Among decedents preferring a home death, individual, illness-related, and environmental risk factor multivariable analyses were used to identify predictors of home death achievement. RESULTS: Among all who voiced a preference (n = 606), 52% died in their preferred location (kappa: 0.29). Factors contributing independently to achievement of a preferred home death were emotional needs being met, nursing and family physician home visits, palliative care program involvement, and being at home for the majority of the last month. CONCLUSIONS: This study identifies elements of primary and integrated care that address the gap between preferred and actual place of care.

Unexplained health inequality--is it unfair?

INTRODUCTION: Accurate measurement of health inequities is indispensable to track progress or to identify needs for health equity policy interventions. A key empirical task is to measure the extent to which observed inequality in health - a difference in health - is inequitable. Empirically operationalizing definitions of health inequity has generated an important question not considered in the conceptual literature on health inequity. Empirical analysis can explain only a portion of observed health inequality. This paper demonstrates that the treatment of unexplained inequality is not only a methodological but ethical question and that the answer to the ethical question - whether unexplained health inequality is unfair - determines the appropriate standardization method for health inequity analysis and can lead to potentially divergent estimates of health inequity. METHODS: We use the American sample of the 2002-03 Joint Canada/United States Survey of Health and measure health by the Health Utilities Index (HUI). We model variation in the observed HUI by demographic, socioeconomic, health behaviour, and health care variables using Ordinary Least Squares. We estimate unfair HUI by standardizing fairness, removing the fair component from the observed HUI. We consider health inequality due to factors amenable to policy intervention as unfair. We contrast estimates of inequity using two fairness-standardization methods: direct (considering unexplained inequality as ethically acceptable) and indirect (considering unexplained inequality as unfair). We use the Gini coefficient to quantify inequity. RESULTS: Our analysis shows that about 75% of the variation in the observed HUI is unexplained by the model. The direct standardization results in a smaller inequity estimate (about 60% of health inequality is inequitable) than the indirect standardization (almost all inequality is inequitable). CONCLUSIONS: The choice of the fairness-standardization method is ethical and influences the empirical health inequity results considerably. More debate and analysis is necessary regarding which treatment of the unexplained inequality has the stronger foundation in equity considerations.