Comparing individual- and area-based socioeconomic measures for the surveillance of health disparities: A multilevel analysis of Massachusetts births, 1989-1991

Barriers to Total Joint Arthroplasty: A Comparison of High-Poverty and Low-Poverty Communities

OBJECTIVE

Our aim was to determine the most significant barriers to total joint arthroplasty (TJA) for people living in high-poverty communities relative to low-poverty communities.

METHODS

We created a 21-question survey based on interviews with underrepresented minority patients with osteoarthritis targeting five barriers to TJA: trust in surgeon, recovery concerns, cost and/or insurance issues, fear of poor surgical outcomes, and timing considerations. Participants rated the importance of each barrier on a 5-point Likert scale, dichotomized into "very or extremely important" and "not as important." The survey was distributed at New York City clinics and nationally through an arthritis advocacy group. We used geocoding to link addresses to census tracts, defining high-poverty communities as those with ≥20% of residents living below the poverty level. Logistic regression models assessed the association between community poverty status and rating barriers as very or extremely important, with adjustment for demographic and clinical factors.

RESULTS

Of the 702 survey participants, 16.8% were residents of high-poverty communities. After adjustment, participants from high-poverty communities were more likely to rate trust in surgeon (adjusted odds ratio [aOR] 1.87, 95% confidence interval [CI] 1.24-2.82) and fear of poor surgical outcome (aOR 1.68, 95% CI 1.08-2.61) as very or extremely important.

CONCLUSION

People from high-poverty communities identified lack of trust in surgeons and fear of poor surgical outcomes as more significant barriers to TJA compared to people from low-poverty communities.

Neighborhood socioeconomic status and postpartum depression among commercial health insurance enrollees: a retrospective cohort study

BACKGROUND

Postpartum depression (PPD) is a prevalent psychological condition. Although the effect of obstetrical and maternal complications on PPD are well described, the impact of neighborhood socioeconomic status (SES) on PPD is relatively unexplored.

OBJECTIVES

This study examined the relationship between neighborhood SES score and PPD.

METHODS

A summary SES measure for each U.S. zip code was constructed using income, education, and occupational 2021 Census data and linked to national commercial claims for 2017-2023. PPD status using diagnosis codes at outpatient and inpatient visits, and prescription drug use 3, 6, 9, and 12 months postpartum, were determined. Multivariate analysis controlled for potential confounders.

RESULTS

PPD prevalence in commercial claims was 11.48%. Patients with PPD had higher rates of obstetrical (OR: 1.555, p < .0001) and maternal complications (OR: 1.145, p < .0001), and more lifestyle risk factors (OR: 1.113, p < .0001). Comorbidity scores were higher for patients with PPD. Controlling for age and clinical factors, living in a disadvantaged neighborhood was associated with an increased incidence of PPD (OR: 1.137, p < .0001).

LIMITATIONS

Claims data may include potential inaccurate coding of diagnoses/procedures. Clinical information is limited to conditions and treatments defined by ICD-10-CM codes. Area-based SES measures inevitably misclassify people on both ends of the socioeconomic spectrum (this misclassification is random; direction of bias is known).

CONCLUSIONS

The inverse and significant effect of area-based high SES on PPD rates demonstrates that preventive efforts may require interventions focusing on both the patient and the lived environment.

Neighborhood Child Opportunity and Preterm Birth Rates by Race and Ethnicity

Importance

In the US, infants born to non-Hispanic Black birthing parents are 50% more likely to be born preterm than those born to non-Hispanic White birthing parents, and individual-level factors do not fully account for this inequity. Neighborhood context, rooted in historic patterns of structural racism, may facilitate understanding patterns of inequity in preterm birth.

Objective

To estimate the association between neighborhood opportunity level, measured by the Child Opportunity Index (COI), and preterm birth among infants in Massachusetts.

Design, Setting, and Participants

In this cross-sectional, population-based study, Massachusetts birth certificates from 3 large metropolitan areas (Boston, Springfield, and Worcester) were linked to US Census tract-level data from the COI, and log binomial regression models and generalized estimating equations were fit to examine associations of different levels of opportunity with preterm birth. Singleton infants born in Massachusetts between February 1, 2011, and December 31, 2015, were included. Analyses were originally conducted in 2019 and updated in 2024.

Exposure

Level of child opportunity (measured by the COI) at the US Census tract level. Race and ethnicity were ascertained from the birth certificate, as reported by the birthing parent.

Main Outcomes and Measures

Live birth before 37 completed weeks' gestation.

Results

The analytic dataset included 267 553 infants, of whom 18.9% were born to Hispanic, 10.1% to non-Hispanic Asian or Pacific Islander, 10.1% to non-Hispanic Black, and 61.0% to non-Hispanic White birthing parents. More than half of infants born to non-Hispanic Black and Hispanic birthing parents were born into very low opportunity neighborhoods, and in crude models, this was associated with greater prevalence of preterm birth relative to very high opportunity neighborhoods (prevalence ratio, 1.44; 95% CI, 1.37-1.52). After adjustment for covariates, infants born into very low opportunity neighborhoods still had a greater prevalence of preterm birth (prevalence ratio, 1.16; 95% CI, 1.10-1.23).

Conclusions and Relevance

In this cross-sectional study of neighborhood opportunity and preterm birth, elevated risk associated with exposure to a very low opportunity neighborhood, coupled with the disproportionate exposure by race and ethnicity, points to a modifiable factor that may contribute to racial and ethnic inequities in preterm birth. Future research should investigate interventions that seek to address neighborhood opportunity.

Mental health care use and quality among Medicaid adults with serious mental illness receiving care at Federally Qualified Health Centers vs. other settings

BACKGROUND

Federally Qualified Health Centers (FQHCs) are a critical source of care for medically underserved populations and often serve as medical homes for individuals with serious mental illness (SMI). Many FQHCs provide mental health services and could facilitate access to mental health treatment within and outside of FQHCs. This study compared mental health care utilization and acute care events for adult Medicaid enrollees with SMI who receive care at Federally Qualified Health Centers (FQHCs) vs. other settings.

METHODS

This study used the 2015-2016 Massachusetts All-Payer Claims Database to examine outpatient mental health care and acute care events for 32,330 Medicaid adults, ages 18-64 and with major depressive, bipolar, or schizophrenia spectrum disorders (SSD), who resided in FQHC service areas and received care from FQHCs vs. other settings in 2015. Multivariable linear regressions assessed associations between receiving care at FQHCs and outpatient mental health visits, psychotropic medication fills, and acute care events in 2016.

RESULTS

There were 8,887 (27.5%) adults in the study population (N = 32,330) who had at least one FQHC visit in 2015. Those who received care at FQHCs were more likely to have outpatient mental health visits (73.3% vs. 71.2%) and psychotropic medication fills (73.2% vs. 69.0%, both p < .05), including antidepressants among those with depressive disorders and antipsychotics among those with SSD. They were more likely to have ED visits (74.0% vs. 68.7%), but less likely to be hospitalized (27.8% vs. 31.9%, both p < .05). However, there was no significant difference in the likelihood of having an acute psychiatric hospitalization (9.5% vs. 9.8%, p = .35).

CONCLUSIONS

Among Medicaid enrollees with SMIs who had access to care at FQHCs, those receiving care at FQHCs were more likely to have outpatient mental health visits and psychotropic medication fills, with lower rates of hospitalization, suggesting potentially improved quality of outpatient care. Higher ED visit rates among those receiving care at FQHCs warrant additional investigation.

The association between weight loss medications and cardiovascular complications

OBJECTIVE

Obesity and its cardiovascular complications are major causes of morbidity and mortality. Little is known in real-world settings about the effect of newly approved antiobesity medications (AOMs) on cardiovascular complications among patients with obesity.

METHODS

This retrospective cohort study examined the association between newly approved AOM use and cardiovascular events among Medicare patients with obesity using data from 2020 to 2022. Patient age, gender, comorbidity scores, socioeconomic status, and baseline cardiovascular comorbidities were compared descriptively. Subgroup analysis compared variables by medication type. Relative risk and absolute risk of cardiovascular disease (CVD) events were estimated using Cox and Aalen regression models.

RESULTS

The analysis included 5926 patients treated with semaglutide and tirzepatide, including Ozempic (5404 patients), Wegovy (375 patients), or Mounjaro (147 patients). Hypertension, type 2 diabetes, and hyperlipidemia were the most common comorbidities. For patients with AOMs, less incidence of heart failure (4.89% vs. 6.13%, p < 0.0001), atrial fibrillation (3.83% vs. 5.17%, p < 0.0001), arrhythmia (3.59% vs. 4.14%, p < 0.0153), and peripheral vascular disease (3.44% vs. 2.94%, p < 0.0395) was found versus patients without AOMs. Patients receiving AOMs showed an 8% risk reduction in any CVD. Protective effect on CVD was apparent over the first 375 days.

CONCLUSIONS

Results suggest that utilization of AOMs effectively alleviates the high prevalence of CVD.

A growing divide: Trends in social inequalities in healthy longevity in Australia, 2001-20

This study examines two decades of change in social inequalities in life and health expectancy among older adults in Australia, one of the few countries that escaped an economic recession during the global financial crisis. We compare adults aged 45+ across three measures of individual socio-economic position-education, occupation, and household wealth-and use multistate life tables to estimate total life expectancy (TLE) and life expectancy free of limiting long-term illness (LLTI-free LE) based on 20 waves of the Household, Income and Labour Dynamics in Australia Survey (2001-20). Our findings highlight substantial social disparities in both TLE and LLTI-free LE in Australia. Grouping individuals by household wealth shows striking differentials in LLTI-free LE. We observe widening social disparities in healthy longevity over time by all three measures of socio-economic position. This diverging trend in healthy longevity is troubling against the backdrop of widening income and wealth inequalities in Australia.

Social needs screening in primary care: A tool in the fight for health equity?

Progress on addressing health inequalities is slow and in many places around the world the gap between the privileged and the disadvantaged is widening. This is driven largely by an unfair and unequal distribution of the social determinants of health. While upstream policy and agenda commitment is needed to improve social determinants of health at a population level, healthcare also has a role. Currently social information is sporadically collected and used in healthcare. Improving our understanding of social problems is crucial in targeting services and to reduce the overreliance on area-level measures of deprivation. This has the potential to improve patient care as well as more accurately capture socio-economic disadvantage. Here we argue that there is a role for primary care in screening for social needs to help address inequalities. Social needs screening, more commonly used in North America than Europe, aims to systematically collect social information in health and care settings. Healthcare professionals ask patients about social issues including employment, finances, housing, education and social isolation and this information is used to prompt referral to community services to address any need identified. Social needs screening has potential to address negative impacts of social determinants of health at an individual and population level. Providing a reliable measure of social need, screening gives healthcare professionals an opportunity to tailor and improve quality of care for patients and offer individualised support. It has been shown to improve individual social and health outcomes and positively impact healthcare utilisation. At a population level, social needs screening can improve the data on social determinants of health and therefore support policy makers and service delivery leaders to target resources and services more effectively to the communities most in need. Implementing social needs screening must take account of local healthcare service capacity and available community resources but where sustainable, effective programmes can be introduced, the potential benefits are manifold. While primary care alone cannot solve the root causes of health inequalities, we argue it could be a powerful actor in the fight for health equity.

How economic development affects healthcare access for people with disabilities: A multilevel study in China

Meeting the healthcare needs of people with disabilities is an important challenge in achieving the central promise of "leave no one behind" during the Sustainable Development Goals era. In this study, we describe the accessibility of healthcare for people living with disabilities, as well as the potential influences of individuals' socioeconomic status and regional economic development. Our data covered 324 prefectural cities in China in 2019 and captured the access to healthcare services for people with disabilities. First, we used linear probability regression models to investigate the association between individual socioeconomic status, including residence, poverty status, education, and healthcare access. Second, we conducted an ecological analysis to test the association between prefectural economic indicators, including GDP (gross domestic product) per capita, urbanization ratio, average years of education, Engel's coefficient, and the overall prevalence of access to healthcare for people with disabilities within prefectures. Third, we used multilevel regression models to explore the association between the individual's socio-economic status, prefectural economic indicators, and access to healthcare at the individual level for people with disabilities. The results showed, first, that higher individual socioeconomic status (urban residence or higher educational level) was associated with better access to healthcare for people with disabilities. Second, regional economic indicators were positively associated with access to healthcare at the aggregate and individual levels. This study suggests that local governments, particularly in low- and middle-income countries, should promote economic development and conduct poverty alleviation policies to improve healthcare access for disadvantaged groups.

Socioeconomic inequalities in patient-reported outcome measures of Dutch primary hip and knee arthroplasty patients for osteoarthritis

OBJECTIVE

To study socio-economic inequalities in patient-reported outcomes in primary hip and knee arthroplasty (THA/TKA) patients for osteoarthritis, using two analytical techniques.

METHODS

We obtained data from 44,732 THA and 30,756 TKA patients with preoperative and 12-month follow-up PROMs between 2014 and 2020 from the Dutch Arthroplasty Registry. A deprivation indicator based on neighborhood income, unemployment rate, and education level was linked and categorized into quintiles. The primary outcome measures were the EQ-5D-3L index and Oxford Hip/Knee Score (OHS/OKS) preoperative, at 12-month follow-up, and the calculated change score between these measurements. We contrasted the most and least deprived quintiles using multivariable linear regression, adjusting for patient characteristics. Concurrently, we calculated concentration indices as a non-arbitrary tool to quantify inequalities.

RESULTS

Compared to the least deprived, the most deprived THA patients had poorer preoperative (EQ-5D -0.03 (95%CI -0.02, -0.04), OHS -1.26 (-0.99, -1.52)) and 12-month follow-up health (EQ-5D -0.02 (-0.01, -0.02), OHS -0.42 (-0.19, -0.65)), yet higher mean change (EQ-5D 0.02 (0.01, 0.03), OHS 0.84 (0.52, 1.16)). The most deprived TKA patients had similar results. The higher mean change among the deprived resulted from lower preoperative health in this group (confounding). After accounting for this, the most deprived patients had a lower mean change. The concentration indices showed similar inequality effects and provided information on the magnitude of inequalities over the entire socio-economic range.

CONCLUSION

The most deprived THA and TKA patients have worse preoperative health, which persisted after surgery. The concentration indices allow comparison of inequalities across different outcomes (e.g., revision risk).

Impacts of census differential privacy for small-area disease mapping to monitor health inequities

The U.S. Census Bureau will implement a modernized privacy-preserving disclosure avoidance system (DAS), which includes application of differential privacy, on publicly released 2020 census data. There are concerns that the DAS may bias small-area and demographically stratified population counts, which play a critical role in public health research, serving as denominators in estimation of disease/mortality rates. Using three DAS demonstration products, we quantify errors attributable to reliance on DAS-protected denominators in standard small-area disease mapping models for characterizing health inequities. We conduct simulation studies and real data analyses of inequities in premature mortality at the census tract level in Massachusetts and Georgia. Results show that overall patterns of inequity by racialized group and economic deprivation level are not compromised by the DAS. While early versions of DAS induce errors in mortality rate estimation that are larger for Black than non-Hispanic white populations in Massachusetts, this issue is ameliorated in newer DAS versions.

Does use of primary care-based behavioral health programs differ by race and ethnicity? Evidence from a multi-site collaborative care model

BACKGROUND

Collaborative care models (CoCM) that integrate mental health and primary care improve outcomes and could help address racial and ethnic mental health disparities. We examined whether use of these programs differs by race/ethnicity.

METHODS

This retrospective study examined two CoCM interventions implemented across primary care clinics in a large health system in Massachusetts: 1) a primary care-based behavioral health program for depression or anxiety (IMPACT model) and 2) referral to community-based specialty care services (Resource-finding). Outcomes included enrollment, non-completion, and symptom screening rates, and discharge status for Black, Hispanic and White patients referred for CoCM, 2017-2019.

RESULTS

Black and Hispanic vs. White patients referred to CoCM (n = 17,280) were more likely to live in high poverty ZIP codes (34% and 40% vs. 9%). Rates of program enrollment, non-completion, and symptom screening were similar across groups (e.g., 76%, 77%, and 75% of Black, Hispanic, and White patients enrolled). Hispanic vs. White patients were more likely to be enrolled in IMPACT (56%) vs. Resource-finding (43%). Among those completing IMPACT, Hispanic vs. White patients were more likely to be stepped to psychiatry vs. discharged to their primary care provider (51% vs. 20%, aOR = 1.55, 95% CI: 1.02-2.35).

CONCLUSIONS

Black and Hispanic patients referred to CoCM were similarly likely to use the program as White patients. Hispanic patients completing IMPACT were more frequently referred to psychiatry.

IMPLICATIONS

These results highlight the promise of CoCMs for engaging minority populations in mental healthcare. Hispanic patients may benefit from additional intervention or earlier linkage to specialty care.

Census-Tract-Level Median Household Income and Median Family Income Estimates: A Unidimensional Measure of Neighborhood Socioeconomic Status?

Previous studies suggested either census-tract-level median household income (MHI) or median family income (MFI) estimates may be used as a unidimensional measure of neighborhood socioeconomic status (SES) in the United States (US). To better understand its general use, the purpose of this study was to assess the usefulness of MHI and MFI in a wide range of geographic areas. Area-based socioeconomic data at the census tract level were obtained from the 2000 Census as well as the 2005-2009, 2010-2014, and 2015-2019 American Community Survey. MHI and MFI were used as two simple measures of neighborhood SES. Based on the five area-based indexes developed in the US, several census-tract-level socioeconomic indicators were used to derive five composite measures of neighborhood SES. Then, a series of correlation analyses was conducted to assess the relationships between these seven measures in the State of California and its seven Metropolitan Statistical Areas. Two simple measures were very strongly and positively correlated with one another, and were also strongly or very strongly correlated, either positively or negatively, with five composite measures. Hence, the results of this study support an analytical thinking that simple measures and composite measures may capture the same dimension of neighborhood SES in different geographic areas.

Use Of Area-Based Socioeconomic Deprivation Indices: A Scoping Review And Qualitative Analysis

There is considerable interest among researchers, clinicians, and policy makers in understanding the impact of place on health. In this scoping review and qualitative analysis, we sought to assess area-level socioeconomic deprivation indices used in public health and health outcomes research in the US. We conducted a systematic scoping review to identify area-level socioeconomic deprivation indices commonly used in the US since 2015. We then qualitatively compared the indices based on the input-variable domains, data sources, index creation characteristics, index accessibility, the geography over which the index is applied, and the nature of the output measure or measures. We identified fifteen commonly used indices of area-level socioeconomic deprivation. There were notable differences in the characteristics of each index, particularly in how they define socioeconomic deprivation based on input-variable domains, the geography over which they are applied, and their output measures. These characteristics can help guide future index selection and application in clinical care, research, and policy decisions.

Association Between Social Disadvantage and Otitis Media Treatment in US Children With Commercial Insurance

Importance

It is well established that social disadvantage is associated with earlier, more frequent, and more severe otitis media in children. Appropriate medical and surgical treatment of otitis media can prevent hearing loss and other complications, which may affect future academic and employment opportunities in socially disadvantaged populations. Clinical treatment patterns for otitis media in the US are unclear.

Objective

To describe and quantify social disparities in the treatment patterns of otitis media in children in the US.

Design, Setting, and Participants

This cross-sectional study included claims data from the Optum Clinformatics Data Mart Database between January 1, 2003, and March 31, 2021, with linked inpatient, outpatient, and pharmaceutical claims for 4 831 408 children with otitis media.

Exposures

Age at first otitis media diagnosis, sex, environmental allergies, gastroesophageal reflux, adenotonsillar hyperplasia, zip code, social deprivation index score, social vulnerability index score.

Main Outcomes and Measures

Treatment of recurrent and suppurative otitis media in children, insertion of tympanostomy tubes, and treatment for severe complications of undertreated otitis media. The principal measure of social disadvantage was the social deprivation index. The social vulnerability index was used for sensitivity analyses to ensure external validity. Multiple logistic regression analyses were used to quantify the association of all projected variables with the study outcomes.

Results

Among 4 831 408 US children with otitis media (median [IQR] age, 4 [1-8] years; 2 491 557 boys [51.57%]), 994 921 (20.59%) were treated for recurrent otitis media, 717 978 (14.86%) were treated for suppurative otitis media, 335 949 (6.95%) received tympanostomy tubes, and 10 975 (0.23%) had severe complications of otitis media. In multivariable regression models including patient factors and social indices, earlier age at diagnosis, male sex, environmental allergies, gastroesophageal reflux, and adenotonsillar hyperplasia were associated with increased treatment for otitis media, whereas social deprivation index was associated with lower odds of medical treatment for recurrent otitis media (odds ratio [OR], 0.86; 95% CI, 0.85-0.87), suppurative otitis media (OR, 0.61; 95% CI, 0.60-0.62), and insertion of tympanostomy tubes (OR, 0.76; 95% CI, 0.75-0.78) but higher odds of having severe complications (OR, 1.28; 95% CI, 1.19-1.37).

Conclusions and Relevance

The findings of this cross-sectional study suggest that children with otitis media who were socially disadvantaged were less likely to receive treatment and more likely to experience complications for undertreated otitis media. As otitis media is a modifiable risk factor for hearing loss, efforts need to be made to ensure equitable access to treatment for all children.

Using Geomarkers and Sociodemographics to Inform Assessment of Caregiver Adversity and Resilience

BACKGROUND AND OBJECTIVES

A high level of caregiver adverse childhood experiences (ACEs) and/or low resilience is associated with poor outcomes for both caregivers and their children after hospital discharge. It is unknown if sociodemographic or area-based measures (ie, "geomarkers") can inform the assessment of caregiver ACEs or resilience. Our objective was to determine if caregiver ACEs or resilience can be identified by using any combinations of sociodemographic measures, geomarkers, and/or caregiver-reported household characteristics.

METHODS

Eligible participants for this cohort study were English-speaking caregivers of children hospitalized on a hospital medicine team. Caregivers completed the ACE questionnaire, Brief Resilience Scale, and strain surveys. Exposures included sociodemographic characteristics available in the electronic health record (EHR), geomarkers tied to a patient's geocoded home address, and household characteristics that are not present in the EHR (eg, income). Primary outcomes were a high caregiver ACE score (≥4) and/or a low BRS Score (<3).

RESULTS

Of the 1272 included caregivers, 543 reported high ACE or low resilience, and 63 reported both. We developed the following regression models: sociodemographic variables in EHR (Model 1), EHR sociodemographics and geomarkers (Model 2), and EHR sociodemographics, geomarkers, and additional survey-reported household characteristics (Model 3). The ability of models to identify the presence of caregiver adversity was poor (all areas under receiver operating characteristics curves were <0.65).

CONCLUSIONS

Models using EHR data, geomarkers, and household-level characteristics to identify caregiver adversity had limited utility. Directly asking questions to caregivers or integrating risk and strength assessments during pediatric hospitalization may be a better approach to identifying caregiver adversity.

Mediators of socioeconomic inequalities in preterm birth: a systematic review

BACKGROUND

Rates of preterm birth are substantial with significant inequalities. Understanding the role of risk factors on the pathway from maternal socioeconomic status (SES) to preterm birth can help inform interventions and policy. This study therefore aimed to identify mediators of the relationship between maternal SES and preterm birth, assess the strength of evidence, and evaluate the quality of methods used to assess mediation.

METHODS

Using Scopus, Medline OVID, "Medline In Process & Other Non-Indexed Citation", PsycINFO, and Social Science Citation Index (via Web of Science), search terms combined variations on mediation, socioeconomic status, and preterm birth. Citation and advanced Google searches supplemented this. Inclusion criteria guided screening and selection of observational studies Jan-2000 to July-2020. The metric extracted was the proportion of socioeconomic inequality in preterm birth explained by each mediator (e.g. 'proportion eliminated'). Included studies were narratively synthesised.

RESULTS

Of 22 studies included, over one-half used cohort design. Most studies had potential measurement bias for mediators, and only two studies fully adjusted for key confounders. Eighteen studies found significant socioeconomic inequalities in preterm birth. Studies assessed six groups of potential mediators: maternal smoking; maternal mental health; maternal physical health (including body mass index (BMI)); maternal lifestyle (including alcohol consumption); healthcare; and working and environmental conditions. There was high confidence of smoking during pregnancy (most frequently examined mediator) and maternal physical health mediating inequalities in preterm birth. Significant residual inequalities frequently remained. Difference-of-coefficients between models was the most common mediation analysis approach, only six studies assessed exposure-mediator interaction, and only two considered causal assumptions.

CONCLUSIONS

The substantial socioeconomic inequalities in preterm birth are only partly explained by six groups of mediators that have been studied, particularly maternal smoking in pregnancy. There is, however, a large residual direct effect of SES evident in most studies. Despite the mediation analysis approaches used limiting our ability to make causal inference, these findings highlight potential ways of intervening to reduce such inequalities. A focus on modifiable socioeconomic determinants, such as reducing poverty and educational inequality, is probably necessary to address inequalities in preterm birth, alongside action on mediating pathways.

Social determinants of health influence disease activity and functional disability in Polyarticular Juvenile Idiopathic Arthritis

BACKGROUND

Social determinants of health (SDH) greatly influence outcomes during the first year of treatment in rheumatoid arthritis, a disease similar to polyarticular juvenile idiopathic arthritis (pJIA). We investigated the correlation of community poverty level and other SDH with the persistence of moderate to severe disease activity and functional disability over the first year of treatment in pJIA patients enrolled in the Childhood Arthritis and Rheumatology Research Alliance Registry.

METHODS

In this cohort study, unadjusted and adjusted generalized linear mixed effects models analyzed the effect of community poverty and other SDH on disease activity, using the clinical Juvenile Arthritis Disease Activity Score-10, and disability, using the Child Health Assessment Questionnaire, measured at baseline, 6, and 12 months.

RESULTS

One thousand six hundred eighty-four patients were identified. High community poverty (≥20% living below the federal poverty level) was associated with increased odds of functional disability (OR 1.82, 95% CI 1.28-2.60) but was not statistically significant after adjustment (aOR 1.23, 95% CI 0.81-1.86) and was not associated with increased disease activity. Non-white race/ethnicity was associated with higher disease activity (aOR 2.48, 95% CI: 1.41-4.36). Lower self-reported household income was associated with higher disease activity and persistent functional disability. Public insurance (aOR 1.56, 95% CI 1.06-2.29) and low family education (aOR 1.89, 95% CI 1.14-3.12) was associated with persistent functional disability.

CONCLUSION

High community poverty level was associated with persistent functional disability in unadjusted analysis but not with persistent moderate to high disease activity. Race/ethnicity and other SDH were associated with persistent disease activity and functional disability.

Assessing the relationship between adverse pregnancy outcomes and area-level deprivation in Wales 2014-2019: a national population-based cross-sectional study

OBJECTIVES

The aim of this study was to assess the relationship between deciles of area-level deprivation and seven adverse pregnancy outcomes in Wales.

DESIGN

Cross-sectional analysis.

SETTING

64 699 live births in Wales from 31 March 2014 to 16 September 2019.

PRIMARY OUTCOME VARIABLE

We examined each of the following seven adverse pregnancy outcomes: (1) small for gestational age (SGA); (2) large for gestational age; (3) preterm birth; (4) third-degree or fourth-degree perineal tear; (5) major postpartum haemorrhage (MPPH); (6) a lower Apgar score at 5 min and (7) emergency caesarean section.

RESULTS

There was no significant association between increasing aggregate measures of area-level deprivation and the adverse pregnancy outcomes we studied. Women living in an area with greater access to services are more likely to have a baby that is SGA (1.27, 95% CI 1.11 to 1.49), have a greater likelihood of a perineal tear (1.74, 95% CI 1.15 to 2.61), are significantly less likely to have MPPH (0.79, 95% CI 0.64 to 0.96), have a baby with an Apgar score of 0.26 higher (95% CI 0.22 to 0.29) and are significantly less likely to have an emergency caesarean section (0.81, 95% CI 0.73 to 0.88). Women living in areas with higher employment (0.26, 95% CI 0.19 to 0.36) and better health (0.26, 95% CI 0.19 to 0.35) were less likely to experience perineal tear.

CONCLUSIONS

There was no clear social-spatial gradient in area-level deprivation and adverse pregnancy outcomes. We found a stronger association for individual-level behavioural risk factors than area-level factors. These findings support the benefits that accessible and holistic person-centred care may bring through addressing individual behavioural risk factors. There is a need for improved data completeness and further individual-level data on risk factors such as employment and income to better understand the role which may be played by population-level policies and their pathways to affecting outcomes.

Center variation in long-term outcomes for socioeconomically deprived children

Neighborhood socioeconomic deprivation is associated with adverse outcomes after pediatric liver transplant. We sought to determine if this relationship varies by transplant center. Using SRTR, we included patients <18 years transplanted 2008-2013 (N = 2804). We matched patient ZIP codes to a deprivation index (range [0,1]; higher values indicate increased socioeconomic deprivation). A center-level patient-mix deprivation index was defined by the distribution of patient-level deprivation. Centers (n = 66) were classified as high or low deprivation if their patient-mix deprivation index was above or below the median across centers. Center quality was classified as low or high graft failure if graft survival rates were better or worse than the overall 10-year graft survival rate. Primary outcome was patient-level graft survival. We used random-effect Cox models to evaluate center-level covariates on graft failure. We modeled center quality using stratified Cox models. In multivariate analysis, each 0.1 increase in the patient-mix deprivation index was associated with increased hazard of graft failure (HR 1.32; 95%CI: 1.05, 1.66). When stratified by center quality, patient-mix deprivation was no longer significant (HR 1.07, 95%CI: 0.89, 1.28). Some transplant centers care for predominantly high deprivation children and maintain excellent outcomes. Revealing and replicating these centers' practice patterns should enable more equitable outcomes.

Association between Socioeconomic Status and Incidence of Community-Associated Clostridioides difficile Infection - United States, 2014-2015

We evaluated the association between socioeconomic status (SES) and community-associated Clostridioides difficile infection (CA-CDI) incidence across 2474 census tracts in 10 states. Highly correlated community-level SES variables were transformed into distinct factors using factor analysis. We found low SES communities were associated with higher CA-CDI incidence.

Community poverty level influences time to first pediatric rheumatology appointment in Polyarticular Juvenile Idiopathic Arthritis

BACKGROUND

The impact of social determinants of health on children with polyarticular juvenile idiopathic arthritis (pJIA) is poorly understood. Prompt initiation of treatment for pJIA is important to prevent disease morbidity; however, a potential barrier to early treatment of pJIAs is delayed presentation to a pediatric rheumatologist. We examined the impact of community poverty level, a key social determinant of health, on time from patient reported symptom onset to first pediatric rheumatology visit among pJIA patients enrolled in the Childhood Arthritis and Rheumatology Research Alliance (CARRA) Registry.

METHODS

This is a cohort study of pJIA patients in the CARRA registry who lived in the United States from July 2015-February 2020. The primary exposure was community poverty level derived by geocoding patient addresses. The primary outcome was time to first rheumatology appointment. Kaplan-Meier analysis was performed to analyze time to first rheumatologist visit, stratified by community poverty and family income. Log-rank tests were used to identify differences between groups. Adjusted cox proportional-hazards models were used to determine the relationship between community poverty level and time from onset of disease symptoms to date first seen by rheumatologist.

RESULTS

A total of 1684 patients with pJIA meeting study inclusion and exclusion criteria were identified. Median age of onset of pJIA was 7 years (IQR 3, 11), 79% were female, 17.6% identified as minority race and/or ethnicity, and 19% were from communities with ≥20% community poverty level. Kaplan-Meier analysis by community poverty level (< 20% vs ≥20%) yielded no significant differences with time to initial presentation to a pediatric rheumatologist (p = 0.6). The Cox proportional hazards model showed that patients with ≥20% community poverty level were 19% less likely (adjusted HR 0.81, 95% CI 0.67-0.99, p = 0.038) to be seen by a rheumatologist compared to patients with < 20% community poverty level, at the same time point, after adjusting for sex, race/ethnicity, insurance, education level, morning stiffness, RF status, and baseline CHAQ.

CONCLUSION

In this study of pJIA patients in the CARRA registry, increased community poverty level is associated with longer time to presentation to a pediatric rheumatologist after symptom onset.

The Impact of Residing in a Gang Territory on Adverse Birth Outcomes: Evidence from Los Angeles

Gang violence remains an ongoing crisis in many communities in the United States. This paper assesses the potential association of gang-occupied neighborhoods with birth outcomes. Adverse birth outcomes serve as a "barometer" of population health, denoting both poor conditions for human development and portending future public health concerns. We draw upon (1) Los Angeles County Vital Statistics Birth Records (2008-2012), (2) GIS information on gang territory boundaries, (3) LA city geo-coded crime data, and (4) the 2010 U.S. Census and 2006-2010 American Community Survey. We find an association between gang-occupied neighborhoods and adverse birth outcomes; however, this association is largely explained by other neighborhood socio-demographic characteristics, crime notwithstanding. We also find that gangland neighborhoods tend to exacerbate the effects of crime for all birth outcomes, but only significantly so for small for gestational age births. Lastly, gang co-residence, crime, and other neighborhood demographics explain a substantial portion of socioeconomic and racial/ethnic disparities in adverse birth outcomes. Gangland neighborhoods appear to be a novel contributor to both population health and health disparities. Future studies should address these relationships in a broad range of metropolitan settings, paying careful attention to causal linkages and moderating effects of gangs and crime.

Neighborhood socioeconomic deprivation, racial segregation, and organ donation across 5 states

One in 10 people die awaiting transplantation from donor shortage. Only half of Americans register as organ donors. In this cross-sectional study, we evaluated population-level associations of neighborhood socioeconomic deprivation and racial segregation on organ donor registration rates. We analyzed state identification card demographic and organ donor registration data from 5 states to estimate the association between a neighborhood socioeconomic deprivation index (range [0, 1]; higher values indicate more deprivation) and a racial index of concentration at the extreme (ICE) (range [-1, 1]; lower values indicate predominantly black neighborhoods, higher values indicate predominantly white neighborhoods) on organ donor registration rates within a specified geography (census tract or ZIP code tabulation area [ZCTA]). Among 26 720 738 registrants, 32% of the sample were registered organ donors. At the census tract level, with each 0.1 decrease in the deprivation index, the organ donor registration rate increased by 6.8% (95% confidence interval [CI]: 6.6%, 7.0%). With each 0.1 increase in the racial ICE, the rate increased by 1.5% (95% CI: 1.5%, 1.6%). These associations held true at the ZCTA level. Areas with less socioeconomic deprivation and a higher concentration of white residents have higher organ donor registration rates. Public health initiatives should consider neighborhood context and novel data sources in designing optimal intervention strategies.

Ambient ultrafine particle concentrations and incidence of childhood cancers

BACKGROUND

Ambient air pollution has been associated with childhood cancer. However, little is known about the possible impact of ambient ultrafine particles (<0.1 μm) (UFPs) on childhood cancer incidence.

OBJECTIVE

This study aimed to evaluate the association between prenatal and childhood exposure to UFPs and development of childhood cancer.

METHODS

We conducted a population-based cohort study of within-city spatiotemporal variations in ambient UFPs across the City of Toronto, Canada using 653,702 singleton live births occurring between April 1, 1998 and March 31, 2017. Incident cases of 13 subtypes of paediatric cancers among children up to age 14 were ascertained using a cancer registry. Associations between ambient air pollutant concentrations and childhood cancer incidence were estimated using random-effects Cox proportional hazards models. We investigated both single- and multi-pollutant models accounting for co-exposures to PM_2.5 and NO₂.

RESULTS

A total of 1,066 childhood cancers were identified. We found that first trimester exposure to UFPs (Hazard Ratio (HR) per 10,000/cm³ increase = 1.13, 95% CI: 1.03-1.22) was associated with overall cancer incidence diagnosed before 6 years of age after adjusting for PM_2.5, NO₂, and for personal and neighborhood-level covariates. Association between UFPs and overall cancer incidence exhibited a linear shape. No statistically significant associations were found for specific cancer subtypes.

CONCLUSION

Ambient UFPs may represent a previously unrecognized risk factor in the aetiology of cancers in children. Our findings reinforce the importance of conducting further research on the effects of UFPs given their high prevalence of exposure in urban areas.

A multilevel mixed effects analysis of informal carers health in Australia: the role of community participation, social support and trust at small area level

BACKGROUND

Informal carers suffer from worse health outcomes than non-carers due to their caregiving role. Yet, in a society carers health is as important as that of their care recipients. This study investigated the self-assessed mental and general health outcomes of informal carers in Australia. It evaluated the influence of carers' personal social capital- a logically linked sequence of their social behaviour such as community participation, social support and trust in others- on their health outcomes. The study estimated the magnitude of small area level variation at Statistical Area Level 1 (SA1) along with individual level variation in carers' health outcomes.

METHODS

The study used a multilevel mixed effects cross-sectional design using data from the Household Income and Labour Dynamics of Australia survey, wave 14. It included Australians aged 15 years and older that were surveyed in the year 2014. The sample consisted of 12,767 individuals and 5004 SA1s. The outcome measures included- mental health, general health and physical functioning, domains of the Short Form 36 Questionnaire, a widely used multi-dimensional measure of health-related quality of life.

RESULTS

Informal carers suffered from poor mental (Beta = - 0.587, p = 0.003) and general health (Beta = - 0.670, p = 0.001) outcomes compared to non-carers in Australia. These health outcomes exhibited significant variation acrossSA1s in Australia, with 12-13% variation in general and mental health. However, within small local areas, differences at the individual level, accounted for most of the variation in outcomes. Moreover, levels of community participation, personal social connection and trust, as perceived by individuals in the communities, had a positive influence on both mental and general health of carers and non-carers, and were more beneficial for carers compared to non-carers.

CONCLUSION

It seems that the positive influence of social capital for carers helps them in coping with the negative impact of their caregiving duty on health outcomes. Findings suggested that some targeted community support programs for carers to build on their personal social cohesion and trust in their community could help in improving their poor health profiles. Moreover, improved informal carers' health may help the health system in better managing their resources.

Does the Flemish colorectal cancer screening programme reach equity in FIT uptake?

BACKGROUND

To investigate colorectal cancer (CRC) screening rates by the faecal immunochemical test (FIT) according to sociodemographic characteristics and nationality.

METHODS

Men and women, aged 56-74, invited to participate in the Flemish CRC screening programme in 2013 and 2014 were included in this study. We analysed the association between CRC screening uptake and sex, age, (first and current) nationality and several proxies for socio-economic status (SES). The statistical analysis was based on descriptive analyses and logistic regression models.

RESULTS

A total of 1 184 426 persons were included in our analysis. The overall screening uptake was 52.3%, uptake varied by sex, age, nationality and SES. Lower participation rates were associated with the youngest and oldest age categories (56-60 and 70-74) and being male. All nationalities other than Belgian or Dutch were significantly less screened. Lower uptake of screening was also associated with several proxy's for low SES, such as having an allowance for being disabled, not being able to work, being an extended minor and having a social allowance/minimum wage. The descriptive analysis showed a 27% difference in CRC screening uptake between the (early) retired and the people entitled to a minimum wage.

CONCLUSIONS

There is a significant difference between screening uptake and demographic and socio-economic variables in the first 2 years of the population-based screening programme in Flanders. Based on the study results, implementing strategies to improve participation in those subgroups is needed.

Early life household intactness and timing of pubertal onset in girls: a prospective cohort study

Background

Girls who experience early-life familial stress may have heightened risk of early puberty, which has adverse implications for adolescent and adult health. We assessed the association between household intactness and pubertal onset using a racially/ethnically diverse cohort of girls from Northern California.

Methods

A prospective cohort study of 26,044 girls born in 2003-10. Girls living with both parents from birth up to 6 years were considered to come from “intact” households while others constituted “non-intact” households. Pubertal development was measured using pediatrician-assessed Tanner staging for breast and pubic hair. Pubertal onset was defined as the transition from Tanner Stage 1 to 2+ for breast (thelarche) and pubic hair (pubarche). Menarche data was collected from routine well-child questionnaires. Weibull regression models accommodating left, right, and interval censoring were used to determine risk of earlier thelarche and pubarche, and logistic regressions were used to assess the risk of early menarche (age < 12).

Results

Girls exposed to non-intact households before age 2 years were at increased risk for earlier thelarche and pubarche with significant effect modification by race/ethnicity, compared with girls from intact households. The associations were strongest among Black girls (adjusted hazard ratio [HR]: 1.60, 95% confidence interval [CI]: 1.29,1.98; HR: 1.42, 95%CI: 1.15,1.77 for thelarche and pubarche, respectively). There were no significant associations among Asian/Pacific Islanders. Girls who lived in non-intact households before age 2 years were also at increased risk for earlier menarche, but without race/ethnic interaction. Adjustment for prepubertal obesity did not change these associations. Associations between living in non-intact households after age 2 years and early puberty were weaker but still significant.

Conclusions

Exposure to a non-intact household early in life may increase the risk of early puberty in girls. Future psychosocial interventions focused on improving family cohesiveness and efforts to reduce childhood stress among families that are non-intact may mitigate these negative associations, thereby preventing future adverse health effects of early puberty and health disparities.

Assessing childhood health outcome inequalities with area-based socioeconomic measures: a retrospective cross-sectional study using Manitoba population data

BACKGROUND

Socioeconomic gradients in health exist in Canada. Although multiple Canadian area-based socioeconomic measures (ABSM) have been developed, none have been specifically validated against pediatric outcomes. Our objective was to compare the strength of association between key pediatric health outcomes and a number of ABSM, including income quintile.

METHODS

This was a retrospective cross-sectional assessment of the association between socioeconomic status (SES) measured by ABSM and 20 specific pediatric health outcomes. Data from the Manitoba Population Research Data Repository were used for residents aged 0-19 years from 2010 to 2015. Outcomes included birth-related events (e.g. mortality), vaccination uptake, hospitalizations, and teen pregnancy. Regression goodness of fit was used to assess the strength of individual associations. Inequality was measured by slope index of inequality (SII) and relative index of inequality (RII).

RESULTS

Overall, 19 of 20 outcomes had socioeconomic gradients identified by SII and RII. The multidimensional CAN-Marg indices had the best explanatory power in standard regression models. The simplest ABSM-income quintile-detected 16 of 19 confirmed inequalities, more than any other single measure.

CONCLUSIONS

At all ages, many pediatric health outcomes in Manitoba were associated with significant socioeconomic inequalities; while income quintile detected most, CAN-Marg composite indices had the best explanatory power.

Race and socioeconomic status in pediatric allogeneic hematopoietic cell transplantation for nonmalignant conditions

BACKGROUND

Survival disparities by race/ethnicity and socioeconomic status (SES) are observed in a wide range of pediatric treatment settings including oncology and solid organ transplantation. To date, few studies have examined the effects of race and SES on outcomes in pediatric allogeneic hematopoietic cell transplantation (HCT). We explored whether survival differed by race/ethnicity or SES in children receiving HCT for nonmalignant conditions at a single institution serving a diverse patient population.

PROCEDURES

The Kaplan-Meier method was used to estimate overall survival (OS) with the log-rank test for between-group comparisons. Cox proportional hazards models were used to identify risk factors for OS, adjusting for treatment- and disease-related factors.

RESULTS

Of 133 subjects, 0 to 21 years, 19% were non-Hispanic (NH) white, 34% were NH black, 40% were Hispanic, and 7% were Asian. Sixty-seven percent of the subjects had public insurance; 49% lived in neighborhoods with poverty rate ≥20%. Primary diagnoses included hemoglobinopathies (56%), bone marrow failure (22%), and other conditions (22%). Median follow-up was 5.8 years (range 0.1-14.5). Analysis revealed no difference in OS by race, insurance type, or neighborhood SES.

CONCLUSIONS

Findings from this single-institution study suggest that in pediatric patients undergoing HCT for nonmalignant conditions, treatment at a tertiary care center with a multidisciplinary approach may mitigate drivers of disparities observed in other settings. Additional studies are now needed to further elucidate the complex interrelationships among race, SES, and clinical outcomes for children undergoing HCT.

Health Disparities Among People Infected With Influenza, Rhode Island, 2013-2018

OBJECTIVES

Health disparities are associated with poor outcomes related to public health. The objective of this study was to assess health disparities associated with influenza infection based on median household income and educational attainment.

METHODS

We geocoded people with documented confirmed influenza infection by home address to identify the US Census 2010 tract in which they lived during 4 influenza surveillance seasons (2013-2014, 2015-2016, 2016-2017, and 2017-2018) in Rhode Island. We dichotomized influenza as severe if the person with influenza infection was hospitalized (ie, inpatient) or as nonsevere if the person was not hospitalized (ie, outpatient). We examined 2 socioeconomic factors: median household income (defined as low, medium low, medium high, and high) and educational attainment (defined as a ratio among people who completed <high school, high school, some college, or ≥bachelor's degree). We calculated relative rates (RRs) to determine the associated level of risk for each socioeconomic factor.

RESULTS

The incidence of influenza per 100 000 person-years was significantly higher in populations with low vs high median household income (620 vs 303; P < .001) and in populations with low vs high educational attainment (583 vs 323; P < .001). The RR of a severe infection in the quartile with the lowest educational attainment (0.57) was significantly higher than the RR in the other 3 quartiles of educational attainment (range, 0.36-0.39; P = .01). However, the RR of a severe infection was higher in the 3 quartiles of median household income (range, 0.38-0.40) than in the quartile with the lowest median household income (0.29).

CONCLUSIONS

People in Rhode Island with a lower socioeconomic status are at greater risk of an influenza infection than people with higher socioeconomic status. The reasons for these disparities require further investigation.

Neighborhood socioeconomic status is associated with differences in operative management and long-term survival after coronary artery bypass grafting

OBJECTIVE

We sought to characterize differences in operative management and surgical outcomes after coronary artery bypass grafting associated with the socioeconomic context in which a patient lives.

METHODS

We used a validated index of 17 variables derived from the US Census Bureau to assign socioeconomic status at the block group level to patients who underwent isolated coronary artery bypass grafting at a single institution over a 16-year period. Operative mortality, stroke, renal failure, prolonged ventilation, sternal wound infection, reoperation, composite morbidity or mortality, long-term survival, and use of arterial conduits were the outcomes assessed.

RESULTS

This study was composed of 6751 patients. Lower socioeconomic status was significantly associated with increased rates of stroke, renal failure, prolonged ventilation, and composite morbidity or mortality in a multivariable analysis. Low socioeconomic status was significantly associated with poorer long-term adjusted survival (hazard ratio, 1.26; 95% confidence interval, 1.03-1.55). Finally, lower socioeconomic status was significantly associated with decreased use of more than 1 arterial conduits in a multivariable analysis.

CONCLUSIONS

The socioeconomic context in which a patient lives is significantly associated with short- and long-term outcomes after coronary artery bypass grafting. There may also be variation in operative management, demonstrated by decreased use of arterial conduits. Lower rates of arterial revascularization among socioeconomically disadvantaged patients who undergo coronary artery revascularization may provide a target for intervention.

Marked Reduction of Socioeconomic and Racial Disparities in Invasive Pneumococcal Disease Associated With Conjugate Pneumococcal Vaccines

BACKGROUND

It is not known whether reductions in socioeconomic and racial disparities in incidence of invasive pneumococcal disease (defined as the isolation of Streptococcus pneumoniae from a normally sterile body site) noted after pneumococcal conjugate vaccine (PCV) introduction have been sustained.

METHODS

Individual-level data collected from 20 Tennessee counties participating in Active Bacterial Core surveillance over 19 years were linked to neighborhood-level socioeconomic factors. Incidence rates were analyzed across 3 periods-pre-7-valent PCV (pre-PCV7; 1998-1999), pre-13-valent PCV (pre-PCV13; 2001-2009), and post-PCV13 (2011-2016)-by socioeconomic factors.

RESULTS

A total of 8491 cases of invasive pneumococcal disease were identified. Incidence for invasive pneumococcal disease decreased from 22.9 (1998-1999) to 17.9 (2001-2009) to 12.7 (2011-2016) cases per 100 000 person-years. Post-PCV13 incidence (95% confidence interval [CI]) of PCV13-serotype disease in high- and low-poverty neighborhoods was 3.1 (2.7-3.5) and 1.4 (1.0-1.8), respectively, compared with pre-PCV7 incidence of 17.8 (15.7-19.9) and 6.4 (4.9-7.9). Before PCV introduction, incidence (95% CI) of PCV13-serotype disease was higher in blacks than whites (17.3 [15.1-19.5] vs 11.8 [10.6-13.0], respectively); after introduction, PCV13-type disease incidence was greatly reduced in both groups (white: 2.7 [2.4-3.0]; black: 2.2 [1.8-2.6]).

CONCLUSIONS

Introduction of PCV13 was associated with substantial reductions in overall incidence and socioeconomic and racial disparities in PCV13-serotype incidence.

Public health interventions to improve maternal nutrition during pregnancy: a nationally representative study of iron and folic acid consumption and food supplements in India

OBJECTIVE

Despite a reduction in maternal mortality in recent years, a high rate of anaemia and other nutrient inadequacies during pregnancy pose a serious threat to mothers and their children in the Global South. Using the framework of the WHO-Commission on Social Determinants of Health, this study examines the socioeconomic, programmatic and contextual factors associated with the consumption of iron and folic acid (IFA) tablets/syrup for at least 100 d (IFA100) and receiving supplementary food (SF) by pregnant women in India.

DESIGN

We analysed a nationally representative cross-sectional survey of over 190 898 ever-married women aged 15-49 years who were interviewed as part of the National Family Health Survey (NFHS) conducted during 2015-16, who had at least one live birth preceding 5 years of the survey.

SETTING

All twenty-nine states and seven union territories of India.

PARTICIPANTS

Ever-married women aged 15-49 years.

RESULTS

Less than one-third of women were found to be consuming IFA100, and a little over half received SF during their last pregnancy. The consumption of IFA100 was likely to improve with women's education, household wealth, early and more prenatal visits, and in a community with high pregnancy registration. Higher parity, early and more prenatal visits, contact with community health workers during pregnancy, belonging to a poor household and living in an aggregated poor community and rural area positively determine whether a woman might receive SF during pregnancy.

CONCLUSIONS

Continuous monitoring and evaluation of provisioning IFA and SF in targeted groups and communities is a key to expanding the coverage and reducing the burden of undernutrition during pregnancy.

Multiple deprivation and other risk factors for maternal obesity in Portsmouth, UK

BACKGROUND

Maternal obesity is known to be associated with a range of adverse outcomes, both for the mothers and their children. It may be more prevalent in areas with higher deprivation as measured by the Index of Multiple Deprivation (IMD), but this has not been demonstrated consistently. This study focused primarily on the relationship between maternal obesity and deprivation in a setting where areas of significant deprivation are surrounded by the overall affluent South East England.

METHODS

The study used the records of 3830 women who delivered under the care of a Portsmouth hospital from 1 April 2013 to 31 March 2014. Logistic regression was used to analyse the association between national IMD quintiles and maternal obesity, accounting for the potential confounders of age, ethnic origin, smoking status and parity.

RESULTS

Following adjustment, women in the most deprived IMD quintile were 1.60 (95% CI: 1.13, 2.26) times more likely to be obese compared to those in the least deprived quintile. Maternal obesity was also found to be associated with ethnicity and parity, but not with age or smoking status.

CONCLUSIONS

Maternal obesity increased with increasing deprivation. IMD may be a useful group-level indicator when planning interventions aimed at tackling maternal obesity.

Ambient air pollution and incidence of early-onset paediatric type 1 diabetes: A retrospective population-based cohort study

BACKGROUND

Studies have reported increasing incidence rates of paediatric diabetes, especially among those aged 0-5 years. Epidemiological evidence linking ambient air pollution to paediatric diabetes remains mixed.

OBJECTIVE

This study investigated the association between maternal and early-life exposures to common air pollutants (NO₂, PM_2.5, O₃, and oxidant capacity [Ox; the redox-weighted average of O₃ and NO₂]) and the incidence of paediatric diabetes in children up to 6 years of age.

METHODS

All registered singleton births in Ontario, Ca nada occurring between April 1st^, 2006 and March 31st^, 2012 were included through linkage from health administrative data. Monthly exposures to NO₂, PM_2.5, O₃, and O_x were estimated across trimesters, the entire pregnancy period and during childhood. Random effects Cox proportional hazards models were used to assess the relationships with paediatric diabetes incidence while controlling for important covariates. We also modelled the shape of concentration-response (CR) relationships.

RESULTS

There were 1094 children out of a cohort of 754,698 diagnosed with diabetes before the age of six. O₃ exposures during the first trimester of pregnancy were associated with paediatric diabetes incidence (hazard ratio (HR) per interquartile (IQR) increase = 2.00, 95% CI: 1.04-3.86). The CR relationship between O₃ during the first trimester and paediatric diabetes incidence appeared to have a risk threshold, in which there was little-to-no risk below 25 ppb of O₃, while above this level risk increased sigmoidally. No other associations were observed.

CONCLUSION

O₃ exposures during a critical period of development were associated with an increased risk of paediatric diabetes incidence.

Racial Disparities in Associations between Neighborhood Demographic Polarization and Birth Weight

Neighborhood demographic polarization, or the extent to which a privileged population group outnumbers a deprived group, can affect health by influencing social dynamics. While using birth records from 2001 to 2013 in Massachusetts (n = 629,675), we estimated the effect of two demographic indices, racial residential polarization (RRP) and economic residential polarization (ERP), on birth weight outcomes, which are established predictors of the newborn's future morbidity and mortality risk. Higher RRP and ERP was each associated with higher continuous birth weight and lower odds for low birth weight and small for gestational age, with evidence for effect modification by maternal race. On average, per interquartile range increase in RRP, the birth weight was 10.0 g (95% confidence interval: 8.0, 12.0) higher among babies born to white mothers versus 6.9 g (95% CI: 4.8, 9.0) higher among those born to black mothers. For ERP, it was 18.6 g (95% CI: 15.7, 21.5) higher among those that were born to white mothers versus 1.8 g (95% CI: -4.2, 7.8) higher among those born to black mothers. Racial and economic polarization towards more privileged groups was associated with healthier birth weight outcomes, with greater estimated effects in babies that were born to white mothers than those born to black mothers.

The Role of Individual and Small-Area Social and Environmental Factors on Heat Vulnerability to Mortality Within and Outside of the Home in Boston, MA

Climate change is resulting in heatwaves that are more frequent, severe, and longer lasting, which is projected to double-to-triple the heat-related mortality in Boston, MA if adequate climate change mitigation and adaptation strategies are not implemented. A case-only analysis was used to examine subject and small-area neighborhood characteristics that modified the association between hot days and mortality. Deaths of Boston, Massachusetts residents that occurred from 2000–2015 were analyzed in relation to the daily temperature and heat index during the warm season as part of the case-only analysis. The modification by small-area (census tract, CT) social, and environmental (natural and built) factors was assessed. At-home mortality on hot days was driven by both social and environmental factors, differentially across the City of Boston census tracts, with a greater proportion of low-to-no income individuals or those with limited English proficiency being more highly represented among those who died during the study period; but small-area built environment features, like street trees and enhanced energy efficiency, were able to reduce the relative odds of death within and outside the home. At temperatures below current local thresholds used for heat warnings and advisories, there was increased relative odds of death from substance abuse and assault-related altercations. Geographic weighted regression analyses were used to examine these relationships spatially within a subset of at-home deaths with high-resolution temperature and humidity data. This revealed spatially heterogeneous associations between at-home mortality and social and environmental vulnerability factors.

Agreement between area- and individual-level income measures in a population-based cohort: Implications for population health research

Socioeconomic status is an important determinant of health, the measurement of which is of great significance to population health research. However, individual-level socioeconomic factors are absent from much health administrative data, resulting in widespread use of area-level measures in their place. This study aims to clarify the role of individual- and area-level socioeconomic status in Ontario, Canada, through comparison of income measures.

Using data from four cycles (2005–2012) of the Canadian Community Health Survey, we assessed concordance between individual- and area-level income quintiles using percent agreement and Kappa statistics. Individual-level characteristics were compared at baseline. Cumulative adult premature mortality was calculated for 5-years following interview. Rates were calculated separately for area-level and individual-level income, and jointly for each combination of income groups. Multivariable negative binomial models were fit to estimate associations between area- and individual-level income quintile and premature mortality after adjustment for basic demographics (age, sex, interview cycle) and key risk factors (alcohol, smoking, physical activity, and body mass index).

Agreement between individual- and area-level income measures was low. Kappa statistics for same and similar (i.e. ±1 quintile) measures were 0.11 and 0.48, indicating low and moderate agreement, respectively. Socioeconomic disparities in premature mortality were greater for individual-level income than area-level income. When rates were stratified by both area- and individual-level income quintiles simultaneously, individual-level income gradients persisted within each area-level income group. The association between income and premature mortality was significant for both measures, including after full adjustment.

Area-level socioeconomic status is an inappropriate proxy for missing individual-level data. The low agreement between area- and individual-level income measures and differences in demographic profile indicate that the two socioeconomic status measures do not capture the same population groups. However, our findings demonstrate that both individual- and area-level income measures are associated with premature mortality, and describe unique socioeconomic inequities.

•

Area- and individual-level income measures may not capture the same groups.

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Area-level socioeconomic status is not a valid proxy for individual-level data.

•

Area- and individual-level income are independently meaningful for health outcomes.

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Measures can be used together to fully contextualize socioeconomic status.

Socioeconomic gradients of adverse birth outcomes and related maternal factors in rural and urban Alberta, Canada: a concentration index approach

OBJECTIVE

Using a summary measure of health inequalities, this study evaluated the distribution of adverse birth outcomes (ABO) and related maternal risk factors across area-level socioeconomic status (SES) gradients in urban and rural Alberta, Canada.

DESIGN

Cross-sectional study using a validated perinatal clinical registry and an area-level SES.

SETTING

The study was conducted in Alberta, Canada. Data about ABO and related maternal risk factors were obtained from the Alberta Perinatal Health Program between 2006 and 2012. An area-level SES index derived from census data (2006) was linked to the postal code at delivery.

PARTICIPANTS

Women (n=3 30 957) having singleton live births with gestational age ≥22 weeks.

PRIMARY AND SECONDARY OUTCOME MEASURES

We estimated concentration indexes to assess inequalities across SES gradients in both rural and urban areas (CIdx_R and CIdx_U, respectively) for spontaneous preterm birth (PTB), small for gestational age (SGA), large for gestational age (LGA), gestational hypertension, gestational diabetes, smoking and substance use during pregnancy and pre-pregnancy weight >91 kg.

RESULTS

The highest health inequalities disfavouring low SES groups were identified for substance abuse and smoking in rural areas (CIdx_R-0.38 and -0.23, respectively). Medium inequalities were identified for LGA (CIdx_R-0.08), pre-pregnancy weight >91 kg (CIdx_R-0.07), substance use (CIdx_U-0.15), smoking (CIdx_U-0.14), gestational diabetes (CIdx_U-0.10) and SGA (CIdx_U-0.07). Low inequalities were identified for PTB (CIdx_R-0.05; CIdx_U-0.05) and gestational diabetes (CIdx_R-0.04). Inequalities disfavouring high SES groups were identified for gestational hypertension (CIdx_R+0.04), SGA (CIdx_R+0.03) and LGA (CIdx_U+0.03).

CONCLUSIONS

ABO and related maternal risk factors were unequally distributed across the socioeconomic gradient in urban-rural settings, with the greatest concentrations in lower SES groups of rural areas. Future research is needed on underlying mechanisms driving SES gradients in perinatal health across the rural-urban spectrum.

Do socioeconomic factors play a role in nonadherence to follow-up colonoscopy after a positive faecal immunochemical test in the Flemish colorectal cancer screening programme?

OBJECTIVE

In Flanders (Belgium), a population-based colorectal cancer (CRC) screening programme was started in 2013, coordinated by the Centre for Cancer Detection (CCD) in cooperation with the Belgian Cancer Registry (BCR). The CCD offers a biennial faecal immunochemical test (FIT) to Flemish citizens aged 56-74 years and recommends a colonoscopy when screened positive by FIT. The study objective is to investigate sociodemographic differences in follow-up colonoscopy adherence after a positive FIT.

METHODS

Characteristics of the study population were derived by linkage of data from the CCD and BCR, linked with data of the Intermutualistic Agency and the Crossroads Bank for Social Security, resulting in aggregated tables to ensure anonymity. A total of 37 834 men and women aged 56-74 years with a positive FIT in 2013-2014 were included. Adherence to follow-up colonoscopy was calculated for age, sex, work intensity at household level, preferential reimbursement status, and first and current nationality. Descriptive analyses and logistic regressions were performed.

RESULTS

Nonadherence to follow-up colonoscopy was associated with increasing age, and was significantly higher in men [odds ratio (OR), 1.08], participants with a preferential reimbursement status (OR, 1.34), very low work intensity (OR, 1.41), no payed work (OR, 1.38) and other than Belgian nationality by birth (OR, 1.6-4.66).

CONCLUSION

Adherence to follow-up colonoscopy after a positive FIT differs according to sociodemographic variables. Additional research is needed to explore reasons for nonadherence to colonoscopy and tackle barriers by exploring interventions to increase colonoscopy follow-up adherence after a positive FIT in the Flemish colorectal cancer screening programme.

Racial Disparities in Total Knee Replacement Failure As Related to Poverty

OBJECTIVE

To determine whether racial disparities in total knee replacement (TKR) failure are explained by poverty.

METHODS

Black and white New York state residents, enrolled in a prospective single-institution TKR registry January 1, 2008 to February 6, 2012, who underwent primary unilateral TKR (n = 4,062) were linked to the New York Statewide Planning and Research Cooperative System database (January 1, 2008 to December 31, 2014) to capture revisions performed at outside institutions. Patients were linked by geocoded addresses to residential census tracts. Multivariable Cox regression was used to assess predictors of TKR revision. Multivariable logistic regression was used to analyze predictors of TKR failure, defined as TKR revision in New York state ≤2 years after surgery, or as Hospital for Special Surgery (HSS) TKR quality of life score "not improved" or "worsened" 2 years after surgery.

RESULTS

The mean ± SD age was 68.4 ± 10 years, 64% of patients were female, 8% lived in census tracts with >20% of the population under the poverty line, and 9% were black. Median follow-up time was 5.3 years. A total of 3% of patients (122 of 4,062) required revision a median 454 days (interquartile range 215-829) after surgery. TKR revision risk was higher in blacks than whites, with a hazard ratio of 1.69 (95% confidence interval 1.01-2.81), but in multivariable analysis, only younger age, male sex, and constrained prosthesis were predictors of TKR revision. TKR failure occurred in 200 of 2,832 cases (7%) with 2-year surveys. Risk factors for TKR failure were non-osteoarthritis TKR indication, low surgeon volume, and low HSS Expectations Survey score, but not black race. Community poverty was not associated with TKR revision or failure.

CONCLUSION

There was a trend toward higher TKR revision risk in blacks, but poverty did not modify the relationship between race and TKR revision or failure.

Socioeconomic determinants of chronic health diseases among older Indian adults: a nationally representative cross-sectional multilevel study

OBJECTIVE

Study uses multilevel modelling to examine the effect of individual, household and contextual characteristics on chronic diseases among older Indian adults.

DESIGN

Nationally representative cross-sectional study.

PARTICIPANTS

Data from the nationally representative, India Human Development Survey conducted in 2011-2012 was used in this study. The survey asked information related to the diagnosed chronic illnesses such as cataract, tuberculosis, hypertension, heart disease and others. The sample size of this study comprised 39 493 individuals who belonged to the age group 50 years and above.

MEASURES

Self-reported diagnosed chronic illness.

METHOD

Considering the hierarchal structure of the data multilevel logistic regression analysis was applied to attain the study objective.

RESULTS

Older adults aged 80 years and older were found with three times more chances (OR: 3.99, 95% CI 2.91 to 5.48) of suffering from a chronic ailment than 50-54 years old. Lifestyle risk factors such as alcohol and tobacco (smoked and smokeless) consumption were noted to be significantly associated with the presence of chronic illness whereas older adults who have never consumed smokeless tobacco stood 20% fewer chances (OR: 0.80, 95% CI 0.68 to 0.94) of having any chronic illness. Contextual level variables such as older adults residing in the rural areas were found with 17% fewer chances (OR: 0.83, 95% CI 0.70 to 0.97) of suffering from a chronic illness.

CONCLUSION

Even after controlling for various characteristics at the individual, household and contextual levels, significant variations in chronic illness remain unexplained at the community and state level, respectively. The findings of this study could effectively be utilised to consider more contextual variables to examine the chronic health status among the growing older population of India.

Estimation of the Ecological Fallacy in the Geographical Analysis of the Association of Socio-Economic Deprivation and Cancer Incidence

Ecological deprivation indices at the level of spatial units are often used to measure and monitor inequalities in health despite the possibility of ecological fallacy. For the purpose of this study, the European Deprivation Index (EDI) was used, which is based on Townsend theorization of relative deprivation. The Slovenian version of EDI (SI-EDI) at the aggregated level (SI-EDI-A) was calculated to the level of the national assembly polling stations. The SI-EDI was also calculated at the individual level (SI-EDI-I) by the method that represents a methodological innovation. The degree of ecological fallacy was estimated with the Receiver Operating Characteristics (ROC) curves. By calculating the area under the ROC curve, the ecological fallacy was evaluated numerically. Agreement between measuring deprivation with SI-EDI-A and SI-EDI-I was analysed by graphical methods and formal testing. The association of the socio-economic status and the cancer risk was analysed in all first cancer cases diagnosed in Slovenia at age 16 and older in the period 2011⁻2013. Analysis was done for each level separately, for SI-EDI-I and for SI-EDI-A. The Poisson regression model was implemented in both settings but adapted specifically for aggregated and individual data. The study clearly shows that ecological fallacy is unavoidable. However, although the association of cancer incidence and socio-economic deprivation at individual and aggregated levels was not the same for all cancer sites, the results were very similar for the majority of investigated cancer sites and especially for cancers associated with unhealthy lifestyles. The results confirm the assumptions from authors' previous research that using the level of the national assembly polling stations would be the acceptable way to aggregate data when explaining inequalities in health in Slovenia in ecological studies.

Disparities in Total Hip Arthroplasty Outcomes: Census Tract Data Show Interactions Between Race and Community Deprivation

INTRODUCTION

Socioeconomic factors such as poverty may mediate racial disparities in health outcomes after total hip arthroplasty (THA) and confound analyses of differences between blacks and whites.

METHODS

Using a large institutional THA registry, we built models incorporating individual and census tract data and analyzed interactions between race and percent of population with Medicaid coverage and its association with 2-year patient-reported outcomes.

RESULTS

Black patients undergoing THA had worse baseline and 2-year pain and function scores compared with whites. We observed strong positive correlations between census tract Medicaid coverage and percent living below poverty (rho = 0.69; P < 0.001). Disparities in 2-year Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain and function were magnified in communities with high census tract Medicaid coverage. For blacks in these communities, 2-year WOMAC function scores were predicted to be -5.54 points lower (80.42 versus 85.96) compared with blacks in less deprived communities, a difference not observed among whites.

CONCLUSION

WOMAC pain and function 2 years after THA are similar among blacks and whites in communities with little deprivation (low percent census tract Medicaid coverage). WOMAC function at 2 years is worse among blacks in areas of higher deprivation but is not seen among whites.

LEVEL OF EVIDENCE

Level II - Cohort Study.

Associations between socioeconomic status, atrial fibrillation, and outcomes: a systematic review

BACKGROUND

Atrial fibrillation (AF) is a growing epidemic and evidence of a relationship to socioeconomic status (SES) is inconsistent. We aimed to summarize the literature about SES and AF and defined two objectives: (1) To examine the association between SES and the risk of AF; (2) To examine the association between SES and AF-related outcomes in an AF-population.

METHODS

We performed a separate search for each objective in Ovid-MEDLINE and Ovid-Embase. For objective 1, the population included was healthy participants and outcome of interest was AF. For objective 2, the population included were patients with AF and outcome of interest was mortality, treatment, ablation for AF, knowledge about AF, and morbidity.

RESULTS

For objective 1, 12 studies were included. No consistent pattern for an association between SES and the risk of AF was discovered. For objective 2, 39 studies comprising 42 outcomes were included. The majority of studies showed an association between low SES and increased mortality and morbidity.

CONCLUSION

Low SES was associated with poorer outcomes when AF was present. These findings may imply that health-care professionals and policy interventions should focus on the promotion of AF-education and management among patients with AF and low SES.

Evaluating the effect of income support policies on social health inequalities (SHIs) at birth in Montreal and Brussels using a contextualised comparative approach and model family method: a study protocol

INTRODUCTION

Assessing the effects of social policies on social health inequalities (SHIs) is a complex issue. Variations in social policy between countries or regions provide natural experiments in policy implementation to perform comparative research. Comparisons are most enlightening when: the object of the evaluation is well defined (types of policies, population groups); the context of policy is analysed (history, implementation); the impact of policy on household poverty is outlined in detail; the influence of various factors (other than poverty) on SHI is taken into consideration.

METHODS AND ANALYSIS

This study aims to understand how income support policies (ISPs) in Brussels and Montreal influence the poverty level of households receiving social assistance, and how they are associated with SHI at birth. Two cases studies will be carried out from a comparative perspective. The analysis includes four stages : (1) The model family method will be used to compare ISPs and their impact on disposable income and poverty of households receiving social assistance in both regions. (2) Statistical analysis of administrative databases will enable the description and comparison of SHI in adverse pregnancy outcomes across the two regions. (3) Analysis of databases and documents will allow for description of various factors which are likely to interact with poverty and influence SHI at birth. (4) Based on the Diderichsen model, results from the previous stages will be used to formulate hypotheses about the mechanisms by which ISPs contribute to increasing or reducing SHI at birth in both regions.

ETHICS AND DISSEMINATION

This research was approved by the Human Research Ethics Committee for Health research of Université de Montréal. In Belgium, the access to linked databases was approved by the Commission for the Protection of Privacy. Databases de-identified according to Belgian and Canadian legislation will be used. Results will be disseminated in scientific publications and will be shared with policy makers and field actors through collaborations with local organisations in Brussels and Montreal.

Neighborhood Socioeconomic Disadvantage and Care After Myocardial Infarction in the National Cardiovascular Data Registry

Background:

Patients living in disadvantaged neighborhoods are at high risk for adverse outcomes after acute myocardial infarction (MI). Whether residential socioeconomic status (SES) is associated with quality of in-hospital care among patients presenting with MI is unclear.

Methods and Results:

Multivariable logistic regression was used to examine the relationship between SES, quality of care, and in-hospital cardiovascular outcomes among patients with MI from diverse SES neighborhoods from July 2008 to December 2013, at 586 participating hospitals in the Acute Coronary Treatment and Intervention Outcomes Network Registry–Get With The Guidelines quality improvement program. Patients were categorized according to which SES summary measure group they resided in through linkage with US census block data. Outcomes were in-hospital mortality and major adverse cardiovascular events. Quality of MI care was assessed with the defect-free care measure that delineates the proportion of eligible patients who received all acute and discharge guideline-recommended therapies. Among 390 692 patients, there was a substantially longer median arrival-to-angiography time in lower SES neighborhoods (lowest 8.0 hours, low 5.5 hours, medium 4.8 hours, high 4.5 hours, highest 3.4 hours; P <0.0001), and a higher proportion of ST-segment–elevation myocardial infarction patients treated with fibrinolysis (lowest 23.1%, low 20.2%, medium 18.0%, high 14.2%, highest 5.9%; P <0.0001). However, after adjustment for clinical risk factors, insurance status, and hospital characteristics, socioeconomic disadvantage was not associated with lower rates of guideline-recommended defect-free acute care. Patients presenting from more disadvantaged neighborhoods had a progressively higher independent risk of in-hospital mortality ( P global =0.03) and major bleeding ( P global <0.001), along with lower quality of discharge care.

Conclusions:

In this national registry of MI, patients living in the most disadvantaged neighborhoods received equitable in-hospital care compared with advantaged neighborhoods. However, they experienced substantial delays in receiving angiography. Furthermore, patients living in disadvantaged neighborhoods remain at higher risk of adverse in-hospital outcomes after MI, including mortality. These observations suggest there are further opportunities for improvement in acute and discharge MI care.

Does Education Level Mitigate the Effect of Poverty on Total Knee Arthroplasty Outcomes?

OBJECTIVE

Total knee arthroplasty (TKA) outcomes are worse for patients from poor neighborhoods, but whether education mitigates the effect of poverty is not known. We assessed the interaction between education and poverty on 2-year Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain and function.

METHODS

Patient-level variables from an institutional registry were linked to US Census Bureau data (census tract [CT] level). Statistical models including patient and CT-level variables were constructed within multilevel frameworks. Linear mixed-effects models with separate random intercepts for each CT were used to assess the interaction between education and poverty at the individual and community level on WOMAC scores.

RESULTS

Of 3,970 TKA patients, 2,438 (61%) had some college or more. Having no college was associated with worse pain and function at baseline and 2 years (P = 0.0001). Living in a poor neighborhood (>20% below poverty line) was associated with worse 2-year pain (P = 0.02) and function (P = 0.006). There was a strong interaction between individual education and community poverty with WOMAC scores at 2 years. Patients without college living in poor communities had pain scores that were ~10 points worse than those with some college (83.4% versus 75.7%; P < 0.0001); in wealthy communities, college was associated with a 1-point difference in pain. Function was similar.

CONCLUSION

In poor communities, those without college attain 2-year WOMAC scores that are 10 points worse than those with some college; education has no impact on TKA outcomes in wealthy communities. How education protects those in impoverished communities warrants further study.