"When You Look at This Chart, That Is Not My Whole Life": Caregiver Perspectives to Inform Improved Primary Care Practice and Outcomes.

OBJECTIVE: Worsening rates of infant and maternal mortality in the United States serve as an urgent call for multi-modal intervention. Infant Well Child Visits (WCVs) provide an opportunity for prevention, however not all infants receive the recommended schedule of visits, with infants of low-income and Black families missing a higher portion of WCVs. Due to diverse experiences and needs of under-resourced communities throughout the United States, caregiver voice is essential when designing improvement efforts. METHODS: Purposeful sampling and interviewing of 10 caregivers in Cincinnati, OH was performed by community peer researchers. Interview transcripts were evaluated by the research team, with identification of several important themes. RESULTS: Nine out of 10 caregivers self-identified as Black. All young children of the interviewed caregivers had Medicaid as their insurance provider. All interviews highlighted rich perspectives on caregiver hopes for their child, family, and selves. Establishing trust through empathy, shared decision making, and the nurturing of interpersonal patient-practitioner relationships is crucial for fostering a positive healthcare experience. Levels of mistrust was perceptibly high across several interviews, with lack of racial concordance between medical provider and family exacerbating the issue for some caregivers. Caregivers voiced a tendency to rely on family and community members for when to seek out health care for their children, and additionally cited racism and perceptions of being rushed or judged as barriers to seeking further care. CONCLUSION: This study emphasizes the importance of being community-informed when considering interventions. Prior research on the topic of missed WCV's often focused on material resource availability and limitations. While that was commented on by caregivers in this study as well, equal-if not more-attention was directed toward interpersonal relationship formation, the presence or absence of trust between practitioner and caregiver, and the importance of social-emotional support for caregivers. We highlight several opportunities for systemic improvements as well as future directions for research.

Community-Led Interventions to Address Food Inequity.

Approximately 1 in 6 children in the United States, and 1 in 5 children in our local county (Hamilton County, Ohio), are food insecure. Here, we describe a novel community-academic partnership to address food inequity through distributed leadership and shared power with local neighborhood leaders. Using neighborhood-level data and community voice, 3 Cincinnati neighborhoods with high rates of poverty and food insecurity were selected as the primary intervention targets. Neighborhood leadership councils with community members representing each neighborhood were created. These councils requested intervention proposals and then decided which community designed interventions would receive grant funding. The academic partner provided grant funding distribution, quality improvement support, and data guidance and support for all partners, as well as community engagement support if desired by the community-led intervention leaders. In its first year (2021-2022), 9 interventions were funded, moving more than $250 000 into community-designed and community-led interventions to promote food security in 3 disadvantaged neighborhoods. Through leveraging community partnerships, these initiatives supplied 89 039 equivalent meals, including 56 244 pounds of produce, serving at least 3106 families in 3 neighborhoods in Cincinnati. Critical to the success of the initiatives were distributed leadership, shared power, word of mouth, and community engagement. The success of this type of community-academic partnership shows promise to address a wide variety of social and health challenges.

"We know what's going on in our community": A qualitative analysis identifying community assets that deter gun violence.

Communities of color are disproportionately impacted by gun violence. Unlocking potential community-led solutions could be the key to quelling the gun violence epidemic and its impact on these communities. In this qualitative study, we explored community perspectives on local assets that may prevent and mitigate gun violence. We conducted semi-structured, in-depth interviews (n = 45) among individuals not directly involved in gun violence (i.e., shooting victim or perpetrator) despite having a high probability of being involved in gun violence in New Haven, CT. Participants were asked to describe social structures that may deter local gun violence. Here, we report emergent themes to preventing gun violence across multiple levels, including role models (interpersonal), social cohesion and home ownership (neighborhood), and community-based organizations (organizational). Our findings suggest that investments in stable housing, efforts to build social cohesion, access to community-based mental health services, and youth activities are needed to curb the drivers of community gun violence.

Partnering with Families and Communities to Improve Child Health and Health Equity.

Pediatricians and other pediatric health providers collaborate with families and communities, including schools, health departments, and other partners to advance pediatric health challenges and health equity. This article will discuss best practices and guiding principles to support engagement and effective partnership with families and communities. Models for engaging families and communities while promoting health equity will also be discussed. Case studies and examples will be shared, as well as how they may be applied by pediatric health providers to promote child health.

Association of Population Well-Being With Cardiovascular Outcomes.

Importance: Mortality from cardiovascular disease (CVD) varies across communities and is associated with known structural and population health factors. Still, a population's well-being, including sense of purpose, social relationships, financial security, and relationship to community, may be an important target to improve cardiovascular health. Objective: To examine the association of population level measures of well-being with rates of CVD mortality in the US. Design, Setting, and Participants: This cross-sectional study linked data from the Gallup National Health and Well-Being Index (WBI) survey to county-level rates of CVD mortality from the Centers for Disease Control and Prevention Atlas of Heart Disease and Stroke. Participants were respondents of the WBI survey, which was conducted by Gallup with randomly selected adults aged 18 years or older from 2015 to 2017. Data were analyzed from August 2022 to May 2023. Main Outcomes and Measures: The primary outcome was the county-level rate of total CVD mortality; secondary outcomes were mortality rates for stroke, heart failure, coronary heart disease, acute myocardial infarction, and total heart disease. The association of population well-being (measured using a modified version of the WBI) with CVD mortality was assessed, and an analysis of whether the association was modified by county structural factors (Area Deprivation Index [ADI], income inequality, and urbanicity) and population health factors (percentages of the adult population who had hypertension, diabetes, or obesity; were currently smoking; and were physically inactive) was conducted. Population WBI and its ability to mediate the association of structural factors associated with CVD using structural equation models was also assessed. Results: Well-being surveys were completed by 514 971 individuals (mean [SD] age 54.0 [19.2] years; 251 691 [48.9%] women; 379 521 [76.0%] White respondents) living in 3228 counties. Mortality rates for CVD decreased from a mean of 499.7 (range, 174.2-974.7) deaths per 100 000 persons in counties with the lowest quintile of population well-being to 438.6 (range, 110.1-850.4) deaths per 100 000 persons in counties with the highest quintile of population well-being. Secondary outcomes showed similar patterns. In the unadjusted model, the effect size (SE) of WBI on CVD mortality was -15.5 (1.5; P < .001), or a decrease of 15 deaths per 100 000 persons for each 1-point increase of population well-being. After adjusting for structural factors and structural plus population health factors, the association was attenuated but still significant, with an effect size (SE) of -7.3 (1.6; P < .001); for each 1-point increase in well-being, the total cardiovascular death rate decreased by 7.3 deaths per 100 000 persons. Secondary outcomes showed similar patterns, with mortality due to coronary heart disease and heart failure being significant in fully adjusted models. In mediation analyses, associations of income inequality and ADI with CVD mortality were all partly mediated by the modified population WBI. Conclusions and Relevance: In this cross-sectional study assessing the association of well-being and cardiovascular outcomes, higher well-being, a measurable, modifiable, and meaningful outcome, was associated with lower CVD mortality, even after controlling for structural and cardiovascular-related population health factors, indicating that well-being may be a focus for advancing cardiovascular health.

Children from disadvantaged neighborhoods experience disproportionate injury from interpersonal violence.

BACKGROUND: Disparities in pediatric injury have been widely documented and are driven, in part, by differential exposures to social determinants of health (SDH). Here, we hypothesized that neighborhood socioeconomic deprivation and specific sociodemographic characteristics would be associated with interpersonal violence-related injury admission. METHODS: We conducted a retrospective cohort study of all patients ≤16 years, residing in Hamilton County, admitted to our level 1 pediatric trauma center. Residential addresses were geocoded to link admissions with a census tract-level socioeconomic deprivation index. Admissions were categorized as resulting from interpersonal violence or not - based on a mechanism of injury (MOI) of abuse or assault. The percentage of interpersonal violence-related injury admissions was compared across patient demographics and neighborhood deprivation index tertiles. These factors were then evaluated with multivariable regression analysis. RESULTS: Interpersonal violence accounted for 6.2% (394 of 6324) of all injury-related admissions. Interpersonal violence-related injury admission was associated with older age, male sex, Black race, public insurance, and living in tertiles of census tracts with higher socioeconomic deprivation. Those living in the most deprived tertile experienced 62.2% of all interpersonal violence-related injury admissions but only 36.9% of non-violence related injury admissions (p < 0.001). After adjustment, insurance and neighborhood deprivation accounted for much of the increase in interpersonal violence-related admissions for Black compared to White children. CONCLUSIONS: Children from higher deprivation neighborhoods, who are also disproportionately Black and publicly insured, experience a higher burden of interpersonal violence-related injury admissions. Level of evidence Level III.

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.

Trends in Racial and Ethnic Disparities in Barriers to Timely Medical Care Among Adults in the US, 1999 to 2018.

Importance: Racial and ethnic disparities in delayed medical care for reasons that are not directly associated with the cost of care remain understudied. Objective: To describe trends in racial and ethnic disparities in barriers to timely medical care among adults during a recent 20-year period. Design, Setting, and Participants: This was a serial cross-sectional study of 590 603 noninstitutionalized adults in the US using data from the National Health Interview Survey from 1999 to 2018. Data analyses were performed from December 2021 through August 2022. Exposures: Self-reported race, ethnicity, household income, and sex. Main Outcomes and Measures: Temporal trends in disparities regarding 5 specific barriers to timely medical care: inability to get through by telephone, no appointment available soon enough, long waiting times, inconvenient office or clinic hours, and lack of transportation. Results: The study cohort comprised 590 603 adult respondents (mean [SE] age, 46.00 [0.07] years; 329 638 [51.9%] female; 27 447 [4.7%] Asian, 83 929 [11.8%] Black, 98 692 [13.8%] Hispanic/Latino, and 380 535 [69.7%] White). In 1999, the proportion of each race and ethnicity group reporting any of the 5 barriers to timely medical care was 7.3% among the Asian group; 6.9%, Black; 7.9%, Hispanic/Latino; and 7.0%, White (P > .05 for each difference compared with White individuals). From 1999 to 2018, this proportion increased across all 4 race and ethnicity groups (by 5.7, 8.0, 8.1, and 5.9 percentage points [pp] among Asian, Black, Hispanic/Latino, and White individuals, respectively; P < .001 for each), slightly increasing the disparities between groups. In 2018, compared with White individuals, the proportion reporting any barrier was 2.1 and 3.1 pp higher among Black and Hispanic/Latino individuals (P = .03 and P = .001, respectively). There was no significant difference in prevalence between Asian and White individuals. There was a significant increase in the difference in prevalence between Black individuals and White individuals who reported delaying care because of long waiting times at the clinic or medical office and because of a lack of transportation (1.5 pp and 1.8 pp; P = .03 and P = .01, respectively). In addition, the difference in prevalence between Hispanic/Latino and White individuals who reported delaying care because of long waiting times increased significantly (2.6 pp; P < .001). Conclusions and Relevance: The findings of this serial cross-sectional study of data from the National Health Interview Survey suggest that barriers to timely medical care in the US increased for all population groups from 1999 to 2018, with associated increases in disparities among race and ethnicity groups. Interventions beyond those currently implemented are needed to improve access to medical care and to eliminate disparities among race and ethnicity groups.

Testing the added value of self-reported health and well-being in understanding healthcare utilization and costs.

PURPOSE: We investigated the relationship between measures of self-reported health and well-being and concurrent and prospective healthcare utilization and costs to assess the added value of these self-reported measures in understanding utilization and cost. METHODS: Kaiser Permanente members (N = 6752) completed a 9-item survey measuring life evaluation, financial situation, social support, meaning and purpose, physical health, and mental health. Responses were linked to medical record information during the period 12 months before and after the survey. RESULTS: Correlations between health and well-being measures and healthcare utilization and cost variables were generally weak, with stronger correlations for future life evaluation and selected health measures (ρ = .20-.33, ps < .001). Better overall life evaluation had a significant but weak association with lower total cost and hospital days in the following year after controlling for age, sex, and race/ethnicity (p < .001). Full multivariate models, adjusting for age, sex, race/ethnicity, prior utilization, and relative risk models, showed weak associations between health and well-being measures and following year total healthcare cost and utilization, though the associations were relatively stronger for the health variables than the well-being variables. CONCLUSION: Overall, the health and well-being variables added little to no predictive utility for future utilization and cost beyond prior utilization and cost and the inclusion of predictive models based on clinical information. Perceptions of well-being may be associated with factors beyond healthcare utilization. When information about prior use is unavailable, self-reported health items have some predictive utility.

Relationships between socioeconomic deprivation and pediatric firearm-related injury at the neighborhood level.

BACKGROUND: Disparities in pediatric injury are widely documented and partly driven by differential exposures to social determinants of health (SDH). Here, we examine associations between neighborhood-level SDH and pediatric firearm-related injury admissions as a step to defining specific targets for interventions to prevent injury. METHODS: We conducted a retrospective review of patients 16 years or younger admitted to our Level I pediatric trauma center (2010-2019) after a firearm-related injury. We extracted patients' demographic characteristics and intent of injury. We geocoded home addresses to enable quantification of injury-related admissions at the neighborhood (census tract) level. Our population-level exposure variable was a socioeconomic deprivation index for each census tract. RESULTS: Of 15,686 injury-related admissions, 140 were for firearm-related injuries (median age, 14 years; interquartile range, 11-15 years). Patients with firearm-related injuries were 75% male and 64% Black; 66% had public insurance. Nearly half (47%) of firearm-related injuries were a result of assault, 32% were unintentional, and 6% were self-inflicted; 9% died. At the neighborhood level, the distribution of firearm-related injuries significantly differed by deprivation quintile ( p < 0.05). Children from the highest deprivation quintile experienced 25% of injuries of all types, 57% of firearm-related injuries, and 70% of all firearm-related injuries from assault. They had an overall risk of firearm-related injury 30 times that of children from the lowest deprivation quintile. CONCLUSION: Increased neighborhood socioeconomic deprivation is associated with more firearm-related injuries requiring hospitalization, at rates far higher than injury-related admissions overall. Addressing neighborhood-level SDH may help prevent pediatric firearm-related injury. LEVEL OF EVIDENCE: Prognostic and epidemiological, Level III.

Evaluation of Temporal Trends in Racial and Ethnic Disparities in Sleep Duration Among US Adults, 2004-2018.

Importance: Historically marginalized racial and ethnic groups are generally more likely to experience sleep deficiencies. It is unclear how these sleep duration disparities have changed during recent years. Objective: To evaluate 15-year trends in racial and ethnic differences in self-reported sleep duration among adults in the US. Design, Setting, and Participants: This serial cross-sectional study used US population-based National Health Interview Survey data collected from 2004 to 2018. A total of 429 195 noninstitutionalized adults were included in the analysis, which was performed from July 26, 2021, to February 10, 2022. Exposures: Self-reported race, ethnicity, household income, and sex. Main Outcomes and Measures: Temporal trends and racial and ethnic differences in short (<7 hours in 24 hours) and long (>9 hours in 24 hours) sleep duration and racial and ethnic differences in the association between sleep duration and age. Results: The study sample consisted of 429 195 individuals (median [IQR] age, 46 [31-60] years; 51.7% women), of whom 5.1% identified as Asian, 11.8% identified as Black, 14.7% identified as Hispanic or Latino, and 68.5% identified as White. In 2004, the adjusted estimated prevalence of short and long sleep duration were 31.4% and 2.5%, respectively, among Asian individuals; 35.3% and 6.4%, respectively, among Black individuals; 27.0% and 4.6%, respectively, among Hispanic or Latino individuals; and 27.8% and 3.5%, respectively, among White individuals. During the study period, there was a significant increase in short sleep prevalence among Black (6.39 [95% CI, 3.32-9.46] percentage points), Hispanic or Latino (6.61 [95% CI, 4.03-9.20] percentage points), and White (3.22 [95% CI, 2.06-4.38] percentage points) individuals (P < .001 for each), whereas prevalence of long sleep changed significantly only among Hispanic or Latino individuals (-1.42 [95% CI, -2.52 to -0.32] percentage points; P = .01). In 2018, compared with White individuals, short sleep prevalence among Black and Hispanic or Latino individuals was higher by 10.68 (95% CI, 8.12-13.24; P < .001) and 2.44 (95% CI, 0.23-4.65; P = .03) percentage points, respectively, and long sleep prevalence was higher only among Black individuals (1.44 [95% CI, 0.39-2.48] percentage points; P = .007). The short sleep disparities were greatest among women and among those with middle or high household income. In addition, across age groups, Black individuals had a higher short and long sleep duration prevalence compared with White individuals of the same age. Conclusions and Relevance: The findings of this cross-sectional study suggest that from 2004 to 2018, the prevalence of short and long sleep duration was persistently higher among Black individuals in the US. The disparities in short sleep duration appear to be highest among women, individuals who had middle or high income, and young or middle-aged adults, which may be associated with health disparities.

Trends and Variation in the Gap Between Current and Anticipated Life Satisfaction in the United States, 2008-2020.

Objectives. To describe national- and county-level trends and variation in a novel measure of hope. Methods. Using data from the Gallup National Health and Well-Being Index (n = 2 766 728), we summarized the difference between anticipated life satisfaction (ALS) and current life satisfaction (CLS), measured by the Cantril Self-Anchoring Scale, for each year from 2008 to 2020 and by county over two 5-year periods in the United States. Results. Across all years, there was a significant positive trend in the difference between ALS and CLS for the nation (P = .024), which remained positive but not significant when we excluded 2020. Maintenance of ALS with a decrease in CLS drove the 2020 increase. From 2008-2012 to 2013-2017, 14.5% of counties with 300 or more responses (n = 599) experienced an increase in the difference of more than 1 SD, whereas 13.9% experienced a more than 1 SD decrease. Fifty-two counties experienced decreases in ALS and CLS. Conclusions. Responding to trends in the gap between ALS and CLS at national and local levels is essential for the collective well-being of our nation, especially as we navigate and emerge from crisis.

Can a collective-impact initiative improve well-being in three US communities? Findings from a prospective repeated cross-sectional study.

INTRODUCTION: Communities are seeking to learn if and how they can improve the well-being of their residents. We therefore examined the impact of a community-led, collective-impact initiative, deployed through Blue Zones Project by Sharecare, aimed at improving health and well-being in one set of US communities. METHODS: We used data from cross-sectional surveys of the Well-Being Index (2010-2017) to assess how the Life Evaluation Index (LEI) in Hermosa Beach, Manhattan Beach and Redondo Beach in California (Beach Cities) changed over time and how this change compares with change for similar cities (Beach Cities-like) and for the USA as a whole. We examined types of interventions, perceived impacts, and relationships between intervention type and change in LEI. RESULTS: The Beach Cities experienced greater increases in LEI than Beach Cities-like communities and the nation. The entire portfolio of interventions was positively associated with change in LEI in the Beach Cities (+1.12, p=0.012), with process-oriented interventions most closely associated with improvement. CONCLUSIONS: Community-led collective action that leverages community engagement and activation, strategic use of programming and large-scale built-environment and policy change can improve health and well-being at scale.

Pediatricians Contributing to Poverty Reduction Through Clinical-Community Partnership and Collective Action: A Narrative Review.

Poverty affects child health and well-being in short- and long-term ways, directly and indirectly influencing a range of health outcomes through linked social and environmental challenges. Given these links, pediatricians have long advocated for poverty reduction in both clinical settings and society. Pediatricians and others who work in pediatric settings are well-suited to address poverty given frequent touchpoints with children and families and the trust that develops over repeated encounters. Many pediatricians also recognize the need for cross-sector engagement, mobilization, and innovation in building larger collaborative efforts to combat the harmful effects of poverty. A range of methods, like co-design, community organizing, and community-engaged quality improvement, are necessary to achieve measurable progress. Moreover, advancing meaningful representation and inclusion of those from underrepresented racial and ethnic minority groups will augment efforts to address poverty within and equity across communities. Such methods promote and strengthen key clinical-community partnerships poised to address poverty's upstream root causes and its harmful consequences downstream. This article focuses on those clinical-community intersections and cross-sector, multi-disciplinary programs like Medical-Legal Partnerships, Medical-Financial Partnerships, clinic-based food pantries, and embedded behavioral health services. Such programs and partnerships increase access to services difficult for children living in poverty to obtain. Partnerships can also broaden to include community-wide learning networks and asset-building coalitions, poised to accelerate meaningful change. Pediatricians and allied professionals can play an active role; they can convene, catalyze, partner, and mobilize to create solutions designed to mitigate the harmful effects of poverty on child health.

Trends in Differences in Health Status and Health Care Access and Affordability by Race and Ethnicity in the United States, 1999-2018.

IMPORTANCE: The elimination of racial and ethnic differences in health status and health care access is a US goal, but it is unclear whether the country has made progress over the last 2 decades. OBJECTIVE: To determine 20-year trends in the racial and ethnic differences in self-reported measures of health status and health care access and affordability among adults in the US. DESIGN, SETTING, AND PARTICIPANTS: Serial cross-sectional study of National Health Interview Survey data, 1999-2018, that included 596 355 adults. EXPOSURES: Self-reported race, ethnicity, and income level. MAIN OUTCOMES AND MEASURES: Rates and racial and ethnic differences in self-reported health status and health care access and affordability. RESULTS: The study included 596 355 adults (mean [SE] age, 46.2 [0.07] years, 51.8% [SE, 0.10] women), of whom 4.7% were Asian, 11.8% were Black, 13.8% were Latino/Hispanic, and 69.7% were White. The estimated percentages of people with low income were 28.2%, 46.1%, 51.5%, and 23.9% among Asian, Black, Latino/Hispanic, and White individuals, respectively. Black individuals with low income had the highest estimated prevalence of poor or fair health status (29.1% [95% CI, 26.5%-31.7%] in 1999 and 24.9% [95% CI, 21.8%-28.3%] in 2018), while White individuals with middle and high income had the lowest (6.4% [95% CI, 5.9%-6.8%] in 1999 and 6.3% [95% CI, 5.8%-6.7%] in 2018). Black individuals had a significantly higher estimated prevalence of poor or fair health status than White individuals in 1999, regardless of income strata (P < .001 for the overall and low-income groups; P = .03 for middle and high-income group). From 1999 to 2018, racial and ethnic gaps in poor or fair health status did not change significantly, with or without income stratification, except for a significant decrease in the difference between White and Black individuals with low income (-6.7 percentage points [95% CI, -11.3 to -2.0]; P = .005); the difference in 2018 was no longer statistically significant (P = .13). Black and White individuals had the highest levels of self-reported functional limitations, which increased significantly among all groups over time. There were significant reductions in the racial and ethnic differences in some self-reported measures of health care access, but not affordability, with and without income stratification. CONCLUSIONS AND RELEVANCE: In a serial cross-sectional survey study of US adults from 1999 to 2018, racial and ethnic differences in self-reported health status, access, and affordability improved in some subgroups, but largely persisted.

Socioeconomic and Racial Disparities in Diabetic Ketoacidosis Admissions in Youth With Type 1 Diabetes.

OBJECTIVE: We sought to determine whether census tract poverty, race, and insurance status were associated with the likelihood and severity of diabetic ketoacidosis (DKA) hospitalization among youth with type 1 diabetes (T1D). METHODS: We conducted a retrospective population-based cohort study using Cincinnati Children's Hospital electronic medical record (EMR) data from January 1, 2011, to December 31, 2017, for T1D patients ≤18 years old. The primary outcome was admission for DKA. Secondary outcomes included DKA severity, defined by initial pH and bicarbonate, and length of stay. Exposures were the poverty rate for the youth's home census tract, parent-reported race, and insurance status. We used multivariable logistic regression to analyze effects on odds of admission. RESULTS: We identified 439 patients with T1D; 152 were hospitalized. The cohort was 48% female, 25% Black, and 36% publicly insured; the median age was 14 years. For every 10% increase in a youth's census tract poverty rate, the adjusted odds of admission increased by 22% (95% CI, 1.03-1.47). Public insurance status was associated with DKA admission (adjusted odds ratio [AOR], 2.71, 95% CI, 1.62-4.55) while race was not. There were no clinically meaningful differences in pH or bicarbonate by census tract poverty, race, or insurance status; however, Black patients experienced differences in care (eg, longer length of stay). CONCLUSION: Youth with T1D living in high poverty areas and on public insurance were significantly more likely to be admitted for DKA. Severity upon presentation was similar across exposures. Understanding contextual mechanisms by which disparities emerge will inform changes aimed at equitably improving care.

Trends and geographical variation in population thriving, struggling and suffering across the USA, 2008-2017: a retrospective repeated cross-sectional study.

OBJECTIVES: Well-being is a holistic, positively framed conception of health, integrating physical, emotional, social, financial, community and spiritual aspects of life. High well-being is an intrinsically worthy goal for individuals, communities and nations. Multiple measures of well-being exist, yet we lack information to identify benchmarks, geographical disparities and targets for intervention to improve population life evaluation in the USA. DESIGN: Using data from the Gallup National Health and Well-Being Index, we conducted retrospective analyses of a series of cross-sectional samples. SETTING/PARTICIPANTS: We summarised select well-being outcomes nationally for each year, and by county (n=599) over two time periods, 2008-2012 and 2013-2017. MAIN OUTCOME MEASURES: We report percentages of people thriving, struggling and suffering using the Cantril Self-Anchoring Scale, percentages reporting high or low current life satisfaction, percentages reporting high or low future life optimism, and changes in these percentages over time. RESULTS: Nationally, the percentage of people that report thriving increased from 48.9% in 2008 to 56.3% in 2017 (p<0.05). The percentage suffering was not significantly different over time, ranging from 4.4% to 3.2%. In 2013-2017, counties with the highest life evaluation had a mean 63.6% thriving and 2.3% suffering while counties with the lowest life evaluation had a mean 49.5% thriving and 6.5% suffering, with counties experiencing up to 10% suffering, threefold the national average. Changes in county-level life evaluation also varied. While counties with the greatest improvements experienced 10%-15% increase in the absolute percentage thriving or 3%-5% decrease in absolute percentage suffering, most counties experienced no change and some experienced declines in life evaluation. CONCLUSIONS: The percentage of the US population thriving increased from 2008 to 2017 while the percentage suffering remained unchanged. Marked geographical variation exists indicating priority areas for intervention.

Seven practices for pursuing equity through learning health systems: Notes from the field.

INTRODUCTION: Despite learning health systems' focus on improvement in health outcomes, inequities in outcomes remain deep and persistent. To achieve and sustain health equity, it is critical that learning health systems (LHS) adapt and function in ways that directly prioritize equity. METHODS: We present guidance, including seven core practices, borne from theory, evidence, and experience, for actors within LHS pursuing equity. RESULTS: We provide a foundational definition of equity. We then offer seven core practices for how LHS may effectively pursue equity in health: establish principle, measure for equity, lead from lived experience, co-produce, redistribute power, practice a growth mindset, and engage beyond the healthcare system. We include three use cases that illustrate ways in which we have begun to center equity in the work of our own LHS. CONCLUSION: The achievement of equity requires real transformation at individual, institutional, and structural levels and requires sustained and persistent effort.