Measurement of Health Disparities, Health Inequities, and Social Determinants of Health to Support the Advancement of Health Equity

Racial and Ethnic Disparities in HIV Diagnosis Rates by Social Determinants of Health at the Census Tract Level Among Adults in the United States and Puerto Rico, 2021

BACKGROUND

We compared racial and ethnic disparities in HIV diagnosis rates among adults in census tracts with the most disadvantaged vs. the most advantaged levels of social determinants of health.

METHODS

In this ecologic analysis, we used the National HIV Surveillance System data from 2021 and social determinants of health data from 2017-2021 American Community Survey. We measured racial and ethnic disparities stratified by sex in the most disadvantaged quartiles and advantaged quartiles for (1) poverty, (2) education level, (3) median household income, and (4) insurance coverage. We calculated 8 relative disparity measures [Black-to-White rate ratio, Hispanic/Latino-to-White rate ratio, index of disparity (ID), population-weighted ID, mean log deviation, Theil index, population attributable proportion, Gini coefficient] and 4 absolute disparity measures (Black-to-White rate difference, Hispanic/Latino-to-White rate difference, absolute ID, and population-weighted absolute ID).

RESULTS

Comparing the most disadvantaged quartiles with the most advantaged quartiles, all 4 absolute disparity measures decreased, but 7 of the 8 relative disparity measures increased: the median percentage decreases in the absolute measures for men and women, respectively, were 38.1% and 47.6% for poverty, 12.4% and 42.6% for education level, 43.6% and 44.0% for median household income, and 44.2% and 45.4% for insurance coverage. The median percentage increases in the relative measures for men and women, respectively, were 44.3% and 61.3% for poverty, 54.9% and 95.3% for education level, 19.6% and 90.0% for median household income, and 32.8% and 46.4% for insurance coverage.

CONCLUSIONS

Racial and ethnic disparities in the most disadvantaged and the most advantaged quartiles highlight the need for strategies addressing the root causes of disparities.

Breaking research silos to achieve equitable precision medicine in rheumatology

Health disparities in rheumatic disease are well established and urgently need addressing. Obstacles to precision medicine equity span both the clinical and the research domains, with a focus placed on structural barriers limiting equitable health care access and inclusivity in research. Less articulated factors include the use of inaccurate population descriptors and the existence of research silos in rheumatology research, which creates a knowledge gap that precludes addressing the health disparities and fulfilling the goals of precision medicine to understand the 'full patient'. The biopsychosocial model is a research framework that intertwines layers of biological and environmental effects to understand disease. However, very limited rheumatology research bridges across molecular and epidemiological studies of environmental exposures, such as physical and social determinants of health. In this Review, we discuss clinical obstacles to health care equity, including access to health care and the use of inaccurate language when labelling population groups. We explore the goals and data needed for research under the biopsychosocial model. We describe results from a rheumatic disease literature search that highlights the paucity of studies investigating the molecular influences of systemic exposures. We conclude with a list of considerations and recommendations to help achieve equitable precision medicine.

Moving beyond biology: the critical role of social and structural determinants in atopic dermatitis

Atopic dermatitis (AD) is a prevalent chronic inflammatory skin disease with a substantial global burden and negative impact on quality of life. While genetics and pathophysiology are key to understanding AD, emerging evidence indicates that social and structural determinants of health (SDOH and StDOH) strongly influence the condition's onset, severity, and outcomes. SDOH, such as economic stability, education quality and access, healthcare quality and access, neighborhood environment, and social/community context, shape individual risk and disease experience. StDOH, including government processes, economic policies, social/public policies, and cultural/societal values, further act as upstream forces that directly and indirectly influence AD outcomes. In this review, we synthesize current knowledge on the impacts of SDOH and StDOH on AD incidence, severity, and disparities. Embracing a biopsychosocial model is crucial to elucidate the etiology, epidemiology, and optimal management of AD. Future research should adopt a holistic approach, moving beyond a purely biological perspective to consider the intricate interplay of social and structural determinants in understanding and managing AD.

The contextual interview: a cross-cutting patient-interviewing approach for social context

Patient interviewing pedagogy in medical education has not evolved to comprehensively capture the biopsychosocial model of healthcare delivery. While gathering a patient's social history targets important aspects of social context it does not adequately capture and account for the real-time reassessment required to understand evolving factors that influence exposure to drivers of health inequities, social determinants of health, and access to supports that promote health. The authors offer a patient interviewing approach called the Contextual Interview (CI) that specifically targets dynamic and ever-changing social context information. To substantiate the use of the CI in medical education, the authors conducted a qualitative review of the Accreditation Council for Graduate Medical Education Milestones for primary care specialties (Family Medicine, Internal Medicine, and Pediatrics). Milestones were coded to the extent to which they reflected the learner's need to acknowledge, assess, synthesize and/or apply patient contextual data in real-time patient encounters. Approximately 1 in 5 milestones met the context-related and patient-facing criteria. This milestone review further highlights the need for more intentional training in eliciting meaningful social context data during patient interviewing. The CI as a cross-cutting, practical, time-conscious, and semi-structured patient interviewing approach that deliberately elicits information to improve the clinician's sense and understanding of a patient's social context. The authors reviewed future directions in researching adapted versions of the CI for undergraduate and graduate medical education.

Trends in Black-White Disparities in HIV Diagnosis by Selected Characteristics, 2017‒2021-United States

OBJECTIVE(S)

To identify trends in HIV diagnosis disparities among subpopulations of Black/African American and White persons by selected characteristics (i.e., sex assigned at birth, age group, and region of residence) in the United States during 2017‒2021.

METHODS

Four-year estimated annual percent change (EAPC) during 2017‒2021, 2020 was excluded due to the impact of COVID-19 on HIV diagnoses, was used to assess temporal trends in diagnosis rates and disparities by selected characteristics for Black and White persons aged ≥ 13 years with a diagnosis of HIV infection. Data reported through December 2022 to the National HIV Surveillance System (NHSS) were used.

RESULTS

Among 74,161 Black persons and 44,641 White persons with HIV diagnosed during 2017-2021, there was an overall increase in HIV diagnosis rates among White females (EAPC = 2.0; CI = 0.3, 3.8), White males aged 35‒44 years (EAPC = 1.8; CI = 0.2, 3.5) and whose infection was attributed to injection drug use (EAPC = 7.5; CI = 4.6, 10.4), White females aged 35‒44 years (EAPC = 5.3; CI = 1.9, 8.9) and residing in the Midwest (EAPC = 5.5; CI = 1.4, 9.7). Among both Black and White males, we observed increases in relative disparities in HIV diagnosis for males aged 13‒24 years (EAPC = 7.4; CI = 7.0, 7.7) and residing in the West (EAPC = 2.0; CI = 1.1, 2.9).

CONCLUSIONS

Efforts should prioritize eliminating disparities in treatment and prevention services by taking a comprehensive approach and actively mitigating the social determinants contributing to HIV disparities.

Lower socioeconomic status is correlated with worse outcomes after arthroscopic rotator cuff repair

BACKGROUND

Socioeconomic status has been recognized as a crucial social determinant of health influencing patient outcomes. Area Deprivation Index (ADI) is a validated measure of an area's socioeconomic status. Limited data exists on the impact of ADI and clinical outcomes and complications following rotator cuff repair (RCR). The purpose of this study was to investigate the impact socioeconomic factors have on outcomes following primary arthroscopic RCR.

METHODS

This is a retrospective cohort study with 1-year follow-up. Patients who underwent primary rotator cuff repair at a single institution from March 2014 to September 2022 were identified. Patient demographics, pre-and post-operative visual analog scale (VAS) scores, Patient-Reported Outcomes Measurement Information System (PROMIS) scores, range of motion, complications, and subsequent ipsilateral shoulder surgeries were collected. ADI was collected from an online mapping database using each patient's home address. Patients were split into ADI terciles, with ADI1 representing the least disadvantaged group and ADI3 representing the most disadvantaged group. Analysis of variance and T-test were used for continuous variables, and chi-square analyses were conducted for categorical variables.

RESULTS

In total, 467 patients underwent RCR and had complete demographic data and postoperative follow-ups over a year. There was a significant difference in race, with 78.2% of patients identifying as black in ADI3 and 18.1% in ADI1 (P < .001). Pre-operative PROMIS-Pain Interference, VAS, forward flexion, and abduction were significantly worse in ADI3 compared to ADI1 (P = .001, P < .001, P = .012, and P = .023). At one-year postoperative, patients in ADI3 scored significantly worse than patients in ADI1 in PROMIS- Upper Extremity score (P = .016), PROMIS- Pain Interference (P < .001), VAS (P < .001), forward flexion (P < .001) and abduction (P = .034). Higher ADI scores were associated with a positive correlation for pain (r = .258, P = < 0.001) a negative correlation with upper extremity function (r = - .233, P = .026), a positive correlation with pain interference (r = .355, P < .001), and negative correlation with forward flexion (r = - .227, P < .001). There were no significant differences in postoperative complications (P = .54), retears (P = .47), or reoperations rates (P = .22).

CONCLUSION

Lower socioeconomic status measured by ADI is associated with worse preoperative and 1-year postoperative pain, shoulder function, and range of motion following RCR. However, no differences were appreciated between cohorts regarding reoperation or complications.

LEVEL OF EVIDENCE III

Retrospective Cohort Study.

Alignment of Air Pollution Exposure Inequality Metrics with Environmental Justice and Equity Goals in the United States

A growing literature within the field of air pollution exposure assessment addresses the issue of environmental justice. Leveraging the increasing availability of exposure datasets with broad spatial coverage and high spatial resolution, a number of works have assessed inequalities in exposure across racial/ethnic and other socioeconomic groupings. However, environmental justice research presents the additional need to evaluate exposure inequity-inequality that is systematic, unfair, and avoidable-which may be framed in several ways. We discuss these framings and describe inequality and inequity conclusions provided from several contrasting approaches drawn from recent work. We recommend that future work addressing environmental justice interventions include complementary "Exposure-driven" and "Socially weighted" metrics, taking an intersectional view of areas and social groups that are both disproportionately impacted by pollution and are impacted by additional health risks resulting from structural racism and consider implications for environmental justice beyond distributional equity.

Evaluating equity in a national virtual care management intervention: Delivery and outcomes by race/ethnicity among Veterans with hypertension and diabetes

OBJECTIVE

To evaluate whether the Preventive Health Inventory (PHI)-a virtual care management intervention addressing hypertension and diabetes management implemented nationally in the Veterans Health Administration (VHA)-was delivered equitably among racial/ethnic groups and if existing inequities in hypertension and diabetes outcomes changed following PHI receipt.

DATA SOURCES AND STUDY SETTING

We used data from the VHA Corporate Data Warehouse among Veterans enrolled in primary care nationally from February 28, 2021 to March 31, 2022.

STUDY DESIGN

We used logistic regression to evaluate PHI receipt and hypertension and diabetes outcomes after PHI implementation among Veterans with hypertension and/or diabetes. We conducted unadjusted analyses and analyses adjusting for clinic fixed effects using dummy variables.

DATA COLLECTION/EXTRACTION METHODS

We identified Veterans engaged in primary care with documented race/ethnicity and hypertension and/or diabetes diagnoses in all months during the study period.

PRINCIPLE FINDINGS

Prior to PHI, Non-Hispanic Black (NHB) (42.2%) and Hispanic (39.5%) Veterans were less likely to have controlled hypertension vs. Non-Hispanic White (NHW) Veterans (47.5%); NHB Veterans (32.9%) were more likely to have uncontrolled diabetes vs. NHW Veterans (25.1%). Among 1,805,658 Veterans, 5.7% NHW (N = 68,744), 5.6% NHB (N = 22,580), 10.2% Hispanic (N = 13,313), 6.2% Asian/Pacific Islander/Native Hawaiian (N = 1868), 5.1% American Indian/Native Alaskan (N = 744), and 5.6% multiple races or other race (N = 1647) Veterans received PHI. We found no significant racial inequities in PHI receipt in unadjusted and adjusted models. Hypertension and diabetes measures improved more in the intervention group compared with the group who did not receive the intervention. There were no new or worsened inequities after PHI, and in pre-/post-intervention analysis, among NHB Veterans, the inequity in uncontrolled diabetes improved by 1.9 percentage points (95% CI 0.2, 3.6).

CONCLUSIONS

Our findings suggest the PHI intervention was equitably deployed across race/ethnicity groups without significantly impacting most existing inequities in diabetes and hypertension.

Trends and predictors of reporting social determinants of health in shoulder surgery

Background

The role of social determinants of health (SDH) in patient outcomes, quality of life, and overall well-being has been well documented. However, the inclusion of these variables in randomized control trials (RCTs) remains limited; thus, the extent of generalizability from such trials is brought into question. The purpose of this study is to explore the rates of reporting SDH variables in RCTs focused on shoulder surgery from the past decade.

Methods

The PubMed database was searched for RCTs with a focus on shoulder surgery from 2013 to 2023. Duplicates, responses to the editor, biomechanical studies, and nonshoulder studies were excluded. Each article was reviewed and data pertaining to patient demographics and socioeconomic covariates. Journal of publication was recorded, and studies from the 5 most common journals were analyzed. These journals were the Journal of Shoulder and Elbow Surgery, the Journal of Bone and Joint Surgery, the American Journal of Sports Medicine (AJSM), the Bone and Joint Journal, and the Journal of the American Medical Association. Multivariate logistic regression was performed to determine the independent effect of study characteristics on the reporting rates of SDH.

Results

A total of 255 articles were reviewed. Of these, 93.3% and 90.2% of articles reviewed reported age and sex, respectively. Employment status was reported in 11.8% of articles. Less than 10% reported race, ethnicity, income, insurance, and housing, with even less performing formal analyses on these variables. Studies that were conducted in the United States, multicenter, had a sample size of 251+, and had a combination of public and private funding which were significantly more likely to report on race and ethnicity. Reporting employment status was significantly associated with being European-based, multicenter, sample size 251+, double-blinded, and published in AJSM. Newer studies were significantly less likely to report education. Only publication in AJSM was significant for reporting income. Study intervention and topic were not significant for any SDH reporting.

Discussion

These data reflect how small of a proportion of RCTs report and analyze on SDH variables. These findings reflect a need for future RCTs to accurately report SDH variables that influence outcomes, such as race, ethnicity, education, employment, income, housing status, and insurance. SDH are infrequently reported and analyzed in RCTs pertaining to shoulder surgery. Academic medical journals should incorporate guidelines to encourage studies to include such variables and enable the assessment of outcomes to apply to a broader population.

Social, cultural and political conditions for advancing health equity: examples from eight country case studies (2011-2021)

Progress in addressing systematic health inequities, both between and within countries, has been slow. However, there are examples of actions taken on social determinants of health and policy changes aimed at shaping the underlying sociopolitical context that drives these inequities.Using case study methodology, this article identifies five countries (Ethiopia, Jordan, Spain, Sri Lanka and Vietnam) that made progress on health equity during 2011-2021 and three countries (Afghanistan, Nigeria and the USA) that had not made the same gains. The case studies revealed social, cultural and political conditions that appeared to be prerequisites for enhancing health equity.Data related to population health outcomes, human development, poverty, universal healthcare, gender equity, sociocultural narratives, political stability and leadership, governance, peace, democracy, willingness to collaborate, social protection and the Sustainable Development Goals were interrogated revealing four key factors that help advance health equity. These were (1) action directed at structural determinants of health inequities, for example, sociopolitical conditions that determine the distribution of resources and opportunities based on gender, race, ethnicity and geographical location; (2) leadership and good governance, for example, the degree of freedom, and the absence of violence and terrorism; (3) a health equity lens for policy development, for example, facilitating the uptake of a health equity agenda through cross-sector policies and (4) taking action to level the social gradient in health through a combination of universal and targeted approaches.Reducing health inequities is a complex and challenging task. The countries in this study do not reveal guaranteed recipes for progressing health equity; however, the efforts should be recognised, as well as lessons learnt from countries struggling to make progress.

Transgender, Gender-Diverse, and Nonbinary Experiences in Physical Therapy: A Descriptive Qualitative Study

OBJECTIVE

The objective was to explore experiences with and identify barriers and facilitators of utilizing physical therapy for people who identify as transgender, gender diverse, and nonbinary (TGNB).

METHODS

A qualitative descriptive design was employed using semistructured interviews conducted in New Zealand. Eligible participants were individuals who were 12 years old or older, who self-identified as TGNB, and who had accessed physical therapy at a community-based clinic that also provides a gender-affirming service. Participants were recruited via email invitation to the clinic database. Interview data were analyzed using reflexive thematic analysis. Demographics are reported descriptively.

RESULTS

Seventeen individuals (15-64 years old and identifying as 11 different genders) participated. All participants reported physical therapy experiences relating to 1 or more of the following 4 themes: challenging cisnormativity at policy, environmental, clinic, and therapist levels; safety and trust throughout the clinical experience, including clinic credibility for being a safe provider, clinic displays of TGNB inclusivity, implementation of safe clinic processes, and respectful therapist interactions; inclusive experiences in a clinic that provided affordable care and took active steps to understand and affirm TGNB identities and with physical therapists who had a high level of knowledge of TGNB-specific health issues and took a biopsychosocial approach to care; and sensitivity to body discomfort or dysphoria triggers. Barriers to and facilitators of care were identified at policy, environmental, clinic, and therapist levels.

CONCLUSION

People who identify as TGNB face challenges to accessing safe and culturally sensitive physical therapy. However, there are achievable areas for improvement at policy, environmental, clinic, and physical therapist levels to gain trust and engagement in care for the TGNB community.

IMPACT

This study provides a detailed exploration of TGNB physical therapy experiences and identifies specific areas of improvement for TGNB physical therapy care to provide clinicians and physical therapy clinics insights into the provision of safe and culturally sensitive physical therapy.

Access to Laparoscopic Pediatric Surgery: Do Ethnic and Racial Disparities Exist?

INTRODUCTION

Disparate access to laparoscopic surgery may contribute to poorer health outcomes among racial and ethnic minorities, especially among children. We investigated whether racial and ethnic disparities in laparoscopic procedures existed among four common surgical operations in the pediatric population in the United States.

METHODS

Using the American College of Surgeons National Surgical Quality Improvement Program-Pediatrics, we conducted a retrospective review of pediatric patients, aged less than 18 y old, undergoing appendectomy, fundoplication, cholecystectomy, and colectomy from 2012 to 2021. To compare the surgical approach (laparoscopy or open), a propensity score matching algorithm was used to compare laparoscopic and open procedures between non-Hispanic Black with non-Hispanic White children and Hispanic with non-Hispanic White children.

RESULTS

143,205, 9,907, 4,581, and 26,064 children underwent appendectomy, fundoplication, colectomy, and cholecystectomy, respectively. After propensity score matching, non-Hispanic Black children undergoing appendectomy were found to be treated laparoscopically less than non-Hispanic White children (93.5% versus 94.4%, P = 0.007). With fundoplication, Hispanic children were more likely to be treated laparoscopically than White ones (86.7% versus 80.9%, P < 0.0001). There were no statistically significant differences between Black or Hispanic children and White children in rates of laparoscopy for other procedures.

CONCLUSIONS

Though some racial and ethnic disparities exist with appendectomies and fundoplications, there is limited evidence to indicate that widespread inequities among common laparoscopic procedures exist in the pediatric population.

Promoting equity in clinical research: The role of social determinants of health

OBJECTIVE

This study aims to investigate the association between social determinants of health (SDoH) and clinical research recruitment outcomes and recommends evidence-based strategies to enhance equity.

MATERIALS AND METHODS

Data were collected from the internal clinical study manager database, clinical data warehouse, and clinical research registry. Study characteristics (e.g., study phase) and sociodemographic information were extracted. Median neighborhood income, distance from the study location, and Area Deprivation Index (ADI) were calculated. Mixed effect generalized regression was used for clustering effects and false discovery rate adjustment for multiple testing. A stratified analysis was performed to examine the impact in distinct medical departments.

RESULTS

The study sample consisted of 3,962 individuals, with a mean age of 61.5 years, 53.6 % male, 54.2 % White, and 49.1 % non-Hispanic or Latino. Study characteristics revealed a variety of protocols across different departments, with cardiology having the highest percentage of participants (46.4 %). Industry funding was the most common (74.5 %), and digital advertising and personal outreach were the main recruitment methods (58.9 % and 90.8 %).

DISCUSSION

The analysis demonstrated significant associations between participant characteristics and research participation, including biological sex, age, ethnicity, and language. The stratified analysis revealed other significant associations for recruitment strategies. SDoH is crucial to clinical research recruitment, and this study presents evidence-based solutions for equity and inclusivity. Researchers can tailor recruitment strategies to overcome barriers and increase participant diversity by identifying participant characteristics and research involvement status.

CONCLUSION

The findings highlight the relevance of clinical research inequities and equitable representation of historically underrepresented populations. We need to improve recruitment strategies to promote diversity and inclusivity in research.

Evaluating equity-promoting interventions to prevent race-based inequities in influenza outcomes

Importance

Seasonal influenza hospitalizations pose a considerable burden in the United States, with BIPOC (Black, Indigenous, and other People of Color) communities being disproportionately affected.

Objective

To determine and quantify the effects of different types of mitigation strategies on inequities in influenza outcomes (symptomatic infections and hospitalizations).

Design

In this simulation study, we fit a race-stratified agent-based model of influenza transmission to demographic and hospitalization data of the United States.

Participants

We consider five racial-ethnic groups: non-Hispanic White persons, non- Hispanic Black persons, non-Hispanic Asian persons, non-Hispanic American Indian or Alaska Native persons, and Hispanic or Latino persons.

Setting

We tested five idealized equity-promoting interventions to determine their effectiveness in reducing inequity in influenza outcomes. The interventions assumed (i) equalized vaccination rates, (ii) equalized comorbidities, (iii) work-risk distribution proportional to the distribution of the population, (iv) reduced work contacts for all, or (v) a combination of equalizing vaccination rates and comorbidities and reducing work contacts.

Main Outcomes and Measures

Reduction in symptomatic or hospitalization risk ratios, defined as the ratio of the number of symptomatic infections (hospitalizations respectively) in each age- and racial-ethnic group and their corresponding white counterpart. We also evaluated the reduction in the absolute mean number of symptomatic infections or hospitalizations in each age- and racial-ethnic group compared to the fitted scenario (baseline).

Results

Our analysis suggests that symptomatic infections were equalized and reduced (by up to 17% in BIPOC adults aged 18-49) by strategies reducing work contacts or equalizing vaccination rates. Reducing comorbidities resulted in significant decreases in hospitalizations, with a reduction of over 40% in BIPOC groups. All tested interventions reduced the inequity in influenza hospitalizations in all racial-ethnic groups, but interventions reducing comorbidities in marginalized populations were the most effective. Notably, these interventions resulted in better outcomes across all racial-ethnic groups, not only those prioritized by the interventions.

Conclusions and Relevance

In this simulation modeling study, equalizing vaccination rates and reducing number of work contacts (which are relatively simple strategies to implement) reduced the both the inequity in hospitalizations and the absolute number of symptomatic infections and hospitalizations in all age and racial-ethnic groups.

Using latent class analysis to investigate enduring effects of intersectional social disadvantage on long-term vocational and financial outcomes in the 20-year prospective Chicago Longitudinal Study

BACKGROUND

Class and social disadvantage have long been identified as significant factors in the etiology and epidemiology of psychosis. Few studies have explicitly examined the impact of intersecting social disadvantage on long-term employment and financial independence.

METHODS

We applied latent class analysis (LCA) to 20-year longitudinal data from participants with affective and non-affective psychosis (n = 256) within the Chicago Longitudinal Research. LCA groups were modeled using multiple indicators of pre-morbid disadvantage (parental social class, educational attainment, race, gender, and work and social functioning prior to psychosis onset). The comparative longitudinal work and financial functioning of LCA groups were then examined.

RESULTS

We identified three distinct latent classes: one comprised entirely of White participants, with the highest parental class and highest levels of educational attainment; a second predominantly working-class group, with equal numbers of Black and White participants; and a third with the lowest parental social class, lowest levels of education and a mix of Black and White participants. The latter, our highest social disadvantage group experienced significantly poorer employment and financial outcomes at all time-points, controlling for diagnosis, symptoms, and hospitalizations prior to baseline. Contrary to our hypotheses, on most measures, the two less disadvantaged groups did not significantly differ from each other.

CONCLUSIONS

Our analyses add to a growing literature on the impact of multiple forms of social disadvantage on long-term functional trajectories, underscoring the importance of proactive attention to sociostructural disadvantage early in treatment, and the development and evaluation of interventions designed to mitigate ongoing social stratification.

Socioeconomic Disadvantage Predicts Decreased Likelihood of Maintaining a Functional Knee Arthroplasty Following Treatment for Prosthetic Joint Infection

BACKGROUND

Prosthetic joint infection (PJI) carries major morbidity and mortality as well as a complicated and lengthy treatment course. In patients who have high degrees of socioeconomic disadvantage, this may be a particularly devastating complication. Our study sought to evaluate the impact of socioeconomic deprivation on outcomes following treatment for PJI of the knee.

METHODS

We conducted a retrospective review of revision total knee arthroplasty (TKA) procedures performed for the treatment of initial PJI between 2008 and 2020 at a single tertiary care center in the United States. The Area Deprivation Index (ADI) was used to quantify socioeconomic deprivation. The primary outcome measure was presence of a functional knee joint at the time of most recent follow-up defined as TKA components or an articulating spacer. A total of 96 patients were included for analysis. The median follow-up duration was 26.5 months.

RESULTS

There was no significant difference in the rate of treatment failure (P = .63). However, the proportion of patients who had a functional knee arthroplasty (in contrast to having undergone arthrodesis, amputation, or retention of a static spacer) declined significantly with increasing ADI index (81.8% for the least disadvantaged group, 58.7% for the middle group, 42.9% for the most disadvantaged group, P = .021).

CONCLUSIONS

Patients who have a higher socioeconomic disadvantage as measured by ADI are less likely to maintain a functional knee arthroplasty following treatment for TKA PJI. These findings support continued efforts to improve access to care and optimize treatment plans for patients who have socioeconomic disadvantage.

Identifying Racial and Ethnic Disparities in Acute Inpatient Rehabilitation

OBJECTIVE

To investigate whether racial, ethnic, and linguistic disparities exist at discharge from an acute inpatient rehabilitation facility (IRF) by examining change in Functional Independence Measure (FIM) scores and discharge destination.

DESIGN

This is a retrospective study using our IRF's data from the Uniform Data System for Medical Rehabilitation from 2013-2019. FIM scores and discharge destination were compared between race, language, and ethnic groups, with adjustment for patient characteristics.

SETTING

An urban hospital with a level 1 trauma center, comprehensive stroke center, and IRF with Commission on Accreditation of Rehabilitation Facilities (CARF) certification.

PARTICIPANTS

2518 patients admitted to the IRF from 2013-2019 (N=2518).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

Change in FIM score and discharge destination.

RESULTS

After adjusting for covariates, non-White patients and patients with limited English proficiency had significantly lower functional recovery, as measured by smaller changes in FIM scores from IRF admission to discharge. Additionally, both groups were more likely to be discharged home with home health care than to a skilled nursing facility, compared with White and English-speaking patients. Disparities in discharge destination persisted within patients with noncommercial insurance (Medicaid or Medicare) and a stroke diagnosis but not within those who had commercial insurance or a nonstroke diagnosis.

CONCLUSIONS

Racial and linguistic disparities were identified within our CARF certified IRF; however, the organization is committed to reducing health care disparities. Next steps will include investigating interventions to reduce disparities.

Understanding social determinants of health and physical therapy outcomes in patients with low back pain: A scoping review

BACKGROUND

Low back pain (LBP) is the number one cause of disability worldwide; however, it is not clear how social determinants of health (SDOH) impact care management and outcomes related to physical therapy (PT) services for patients with LBP.

OBJECTIVE

The purposes of this scoping review are to examine and assimilate the literature on how SDOH and PT care relate to non-specific LBP outcomes and identify gaps in the literature to target for future research.

METHODS

Data were extracted from eight electronic databases from January 2011 to February 2022. Reviewers independently screened all studies using the PRISMA extension for scoping review guidelines. Data related to study design, type of PT, type of non-specific LBP, patient demographics, PT intervention, SDOH, and PT outcomes were extracted from the articles.

RESULTS

A total of 30,523 studies were screened, with 1961 articles undergoing full text review. Ultimately, 76 articles were identified for inclusion. Sex and age were the most frequent SDOH examined (88% and 78% respectively) followed by education level (18%). Approximately half of the studies that examined age, sex, and education level identified no effect on outcomes. The number of studies examining other factors was small and the types of outcomes evaluated were variable, which limited the ability to pool results.

CONCLUSIONS

Sex and age were the most frequent SDOH examined followed by education level. Other factors were evaluated less frequently, making it difficult to draw conclusions. Study design and heterogeneity of determinants and outcomes were barriers to examining the potential impact on patients with LBP.

Management of Rheumatoid Arthritis in Primary Care: A Scoping Review

Rheumatoid arthritis (RA) can lead to severe joint impairment and chronic disability. Primary care (PC), provided by general practitioners (GPs), is the first level of contact for the population with the healthcare system. The aim of this scoping review was to analyze the approach to RA in the PC setting. PubMed, Scopus, and Web of Science were searched using the MESH terms "rheumatoid arthritis" and "primary care" from 2013 to 2023. The search strategy followed the PRISMA-ScR guidelines. The 61 articles selected were analyzed qualitatively in a table and discussed in two sections, namely criticisms and strategies for the management of RA in PC. The main critical issues in the management of RA in PC are the following: difficulty and delay in diagnosis, in accessing rheumatological care, and in using DMARDs by GPs; ineffective communication between GPs and specialists; poor patient education; lack of cardiovascular prevention; and increase in healthcare costs. To overcome these criticisms, several management strategies have been identified, namely early diagnosis of RA, quick access to rheumatology care, effective communication between GPs and specialists, active patient involvement, screening for risk factors and comorbidities, clinical audit, interdisciplinary patient management, digital health, and cost analysis. PC appears to be the ideal healthcare setting to reduce the morbidity and mortality of chronic disease, including RA, if a widespread change in GPs' approach to the disease and patients is mandatory.

A Standard Framework for Evaluating Large Health Care Data and Related Resources

Since 2000, the availability and use of large health care data and related resources for conducting surveillance, research, and evaluations to guide clinical and public health decision-making has increased rapidly. These trends have been related to transformations in health care information technology and public as well as private-sector efforts for collecting, compiling, and supplying large volumes of data. This growing collection of robust and often timely data has enhanced the capability to increase the knowledge base guiding clinical and public health activities and also has increased the need for effective tools to assess the attributes of these resources and identify the types of scientific questions they are best suited to address. This

MMWR supplement presents a standard framework for evaluating large health care data and related resources, including constructs, criteria, and tools that investigators and evaluators can apply and adapt.

Decomposing difference in the kidney cancer burden measures between 1990 and 2019 based on the global burden of disease study

The kidney cancer (KC) burden measures have changed dramatically in recent years due to changes in exposure to the determinants over time. We aimed to decompose the difference in the KC burden measures between 1990 and 2019. This ecological study included data on the KC burden measures as well as socio-demographic index (SDI), behavioral, dietary, and metabolic risk factors from the global burden of disease study. Non-linear multivariate decomposition analysis was applied to decompose the difference in the burden of KC. Globally, ASIR, ASMR, and ASDR of KC increased from 2.88 to 4.37, from 1.70 to 2.16, and from 46.13 to 54.96 per 100,000 people between 1990 and 2019, respectively. The global burden of KC was more concentrated in developed countries. From 1990 to 2019, the burden of KC has increased the most in Eastern European countries. More than 70% of the difference in the KC burden measures between 1990 and 2019 was due to changes in exposure to the risk factors over time. The SDI, high body mass index (BMI), and alcohol use had the greatest contribution to the difference in the KC burden measures. Changes in characteristics over time, including SDI, high BMI, and alcohol consumption, appear to be important in the evolving landscape of KC worldwide. This finding may help policymakers design policies and implement prevention programs to control and manage KC.

Associations between social determinants of health and comorbidity and multimorbidity in people of black ethnicities with HIV

OBJECTIVE

Social determinants of health (SDH) are important determinants of long-term conditions and multimorbidity in the general population. The intersecting relationship between SDH and multimorbidity in people with HIV remains poorly studied.

DESIGN

A cross-sectional study investigating the relationships between eight socio-economic parameters and prevalent comorbidities of clinical significance and multimorbidity in adults of African ancestry with HIV aged 18-65 years in South London, UK.

METHODS

Multivariable logistic regression analysis was used to evaluate associations between SDH and comorbidities and multimorbidity.

RESULTS

Between September 2020 and January 2022, 398 participants (median age 52 years, 55% women) were enrolled; 85% reported at least one SDH and 72% had at least one comorbidity. There were no associations between SDH and diabetes mellitus or kidney disease, few associations between SDH (job and food insecurity) and cardiovascular or lung disease, and multiple associations between SDH (financial, food, housing and job insecurity, low educational level, social isolation, and discrimination) and poor mental health or chronic pain. Associations between SDH and multimorbidity mirrored those for constituent comorbidities.

CONCLUSION

We demonstrate strong associations between SDH and poor mental health, chronic pain and multimorbidity in people of black ethnicities living with HIV in the UK. These findings highlight the likely impact of enduring socioeconomic hardship in these communities and underlines the importance of holistic health and social care for people with HIV to address these adverse psychosocial conditions.

Trends in Income Inequities in Cardiovascular Health Among US Adults, 1988-2018

BACKGROUND

Mean cardiovascular health has improved over the past several decades in the United States, but it is unclear whether the benefit is shared equitably. This study examined 30-year trends in cardiovascular health using a suite of income equity metrics to provide a comprehensive picture of cardiovascular income equity.

METHODS

The study evaluated data from the 1988-2018 National Health and Nutrition Examination Survey. Survey groupings were stratified by poverty-to-income ratio (PIR) category, and the mean predicted 10-year risk of a major cardiovascular event or death based on the pooled cohort equations (PCE) was calculated (10-year PCE risk). Equity metrics including the relative and absolute concentration indices and the achievement index-metrics that assess both the prevalence and the distribution of a health measure across different socioeconomic categories-were calculated.

RESULTS

A total of 26 633 participants aged 40 to 75 years were included (mean age, 53.0-55.5 years; women, 51.9%-53.0%). From 1988-1994 to 2015-2018, the mean 10-year PCE risk improved from 7.8% to 6.4% (P<0.05). The improvement was limited to the 2 highest income categories (10-year PCE risk for PIR 5: 7.7%-5.1%, P<0.05; PIR 3-4.99: 7.6%-6.1%, P<0.05). The 10-year PCE risk for the lowest income category (PIR <1) did not significantly change (8.1%-8.7%). In 1988-1994, the 10-year PCE risk for PIR <1 was 6% higher than PIR 5; by 2015-2018, this relative inequity increased to 70% (P<0.05). When using metrics that account for all income categories, the achievement index improved (8.0%-7.1%, P<0.05); however, the achievement index was consistently higher than the mean 10-year PCE risk, indicating the poor persistently had a greater share of adverse health.

CONCLUSIONS

In this serial cross-sectional survey of US adults spanning 30 years, the population's mean 10-year PCE risk improved, but the improvement was not felt equally across the income spectrum.

Advancing genomics to improve health equity

Health equity is the state in which everyone has fair and just opportunities to attain their highest level of health. The field of human genomics has fallen short in increasing health equity, largely because the diversity of the human population has been inadequately reflected among participants of genomics research. This lack of diversity leads to disparities that can have scientific and clinical consequences. Achieving health equity related to genomics will require greater effort in addressing inequities within the field. As part of the commitment of the National Human Genome Research Institute (NHGRI) to advancing health equity, it convened experts in genomics and health equity research to make recommendations and performed a review of current literature to identify the landscape of gaps and opportunities at the interface between human genomics and health equity research. This Perspective describes these findings and examines health equity within the context of human genomics and genomic medicine.

Socioeconomic and Other Risk Factors for Retear after Arthroscopic Surgery for Nontraumatic Rotator Cuff Tear

Background and Objectives: Few studies have investigated the socioeconomic factors associated with retear after rotator cuff repair. This study aimed to identify the risk factors, including socioeconomic factors, for rotator cuff retear in patients who underwent arthroscopic rotator cuff repair. Materials and Methods: This retrospective study included 723 patients diagnosed with full-thickness rotator cuff tears who underwent arthroscopic rotator cuff repair from March 2010 to March 2021. The outcome variable was rotator cuff retear observed on postoperative magnetic resonance imaging or ultrasonography. Sex, age, obesity, diabetes, symptom duration, and tear size were the independent variables. Socioeconomic variables included occupation, educational level, type of medical insurance, and area of residence. We compared patients with and without retear and estimated the effects of the independent factors on retear risk. Results: The mean age of the patients, symptom duration, and tear size were 62.4 ± 8.0 years, 1.8 ± 1.7 years, and 21.8 ± 12.5 mm, respectively. The age, type of medical insurance, diabetes, tear size, and symptom duration differed significantly between patients with and without retearing (p < 0.05). Age, occupation, type of medical insurance, diabetes, initial tear size, and symptom duration significantly affected the risk of retear. Patients who performed manual labor had a significantly higher retear rate (p = 0.005; OR, 1.95; 95% CI, 1.23-3.11). The highest retear risk was seen in patients with Medicaid insurance (p < 0.001; OR, 4.34; 95% CI, 2.09-9.02). Conclusions: Age, initial tear size, and symptom duration significantly affect retear risk after arthroscopic rotator cuff repair. Occupation and type of medical insurance were also risk factors for retear. Socioeconomically vulnerable patients may be at a greater risk of retear. Proactive efforts are required to expand early access to medical care.

Access to Laparoscopic Pediatric Surgery: Do Ethnic and Racial Disparities Exist?

INTRODUCTION

Disparate access to laparoscopic surgery may contribute to poorer health outcomes among racial and ethnic minorities, especially among children. We investigated whether racial and ethnic disparities in laparoscopic procedures existed among four common surgical operations in the pediatric population in the United States.

METHODS

Using the American College of Surgeons National Surgical Quality Improvement Program-Pediatrics, we conducted a retrospective review of pediatric patients, aged less than 18 y old, undergoing appendectomy, fundoplication, cholecystectomy, and colectomy from 2012 to 2021. To compare the surgical approach (laparoscopy or open), a propensity score matching algorithm was used to compare laparoscopic and open procedures between non-Hispanic Black with non-Hispanic White children and Hispanic with non-Hispanic White children.

RESULTS

143,205, 9,907, 4,581, and 26,064 children underwent appendectomy, fundoplication, colectomy, and cholecystectomy, respectively. After propensity score matching, non-Hispanic Black children undergoing appendectomy were found to be treated laparoscopically less than non-Hispanic White children (93.5% versus 94.4%, P = 0.007). With fundoplication, Hispanic children were more likely to be treated laparoscopically than White ones (86.7% versus 80.9%, P < 0.0001). There were no statistically significant differences between Black or Hispanic children and White children in rates of laparoscopy for other procedures.

CONCLUSIONS

Though some racial and ethnic disparities exist with appendectomies and fundoplications, there is limited evidence to indicate that widespread inequities among common laparoscopic procedures exist in the pediatric population.

The impact of social determinants of health on early outcomes after adult Chiari surgery

We sought to identify social determinants of health (SDoH) for adult patients undergoing Chiari decompression surgery and to analyze their association with postoperative outcomes, including length of stay (LOS), return to the system within 30 days, and the Chicago Chiari Outcomes Score (CCOS). This is a retrospective study of adult patients who underwent Chiari decompression surgery between June 2021 and January 2023. Data was gathered through electronic medical record review and telephone surveys. Descriptive statistics were used to evaluate demographics of all patients meeting inclusion criteria. Fisher's exact tests and logistic regression were used for data analysis. A total of 37 patients underwent Chiari decompression (23 CCOS/SDoH survey respondents): 48% bony decompression only, 30% bony decompression plus intradural exploration, and 22% occipitocervical fusion. Seven patients (30%) had a LOS > 2 days, 1 patient (4%) required inpatient rehabilitation postoperatively, 4 patients (17%) returned to the system within 30 days, 10 patients (43%) had an extremely favorable CCOS (15-16), and 11 patients (48%) reported interaction with a Chiari support group. Mean follow-up was 9.5 months. Patients with occipitocervical fusion were more likely to have a LOS > 2 days (p = 0.03), patients who exercised ≥ 3 days per week were more likely to have a favorable CCOS (p = 0.04), and patients who participated in a Chiari support group were less likely to have a favorable CCOS (p = 0.03). Chiari decompression plus occipitocervical fusion may be associated with increased LOS. While more frequent exercise may be associated with better post-surgical outcomes, participation in a Chiari support group may be correlated with worse outcomes.

A novel approach to assessing disparity in representativeness of clinical trial participants within a large midwestern healthcare system

Background

Representativeness in clinical trials (CT) serves as a metric of access to healthcare and reflects differences that may determine differential efficacy of medical interventions; thus, quantifying representativeness in CT participation is critical.

Methods

This retrospective, descriptive study utilized patient demographic data extracted from the largest Midwestern non-profit healthcare system. Using data between January 1, 2019 and December 31, 2021, a CT Participant Sample of 4,537 system patients who were active CT participants was compared to a CT Patient Population of 195,726 system patients receiving care by the PI of active CTs, which represented the target population. Chi-square goodness-of-fit tests were used to test differences in distributions of demographic variables between groups, indicating disparity in CT participation. Two metrics adapted from literature - participation incidence disparity (PID) and participation incidence ratio (PIR) - were calculated to quantify absolute and relative disparity in representativeness proportions, respectively. Descriptive approaches to assessing representativeness are also provided.

Results

Results showed significant differences by race/ethnicity (χ2 = 50.64; p < 0.0001), age categories (χ2 = 56.64; p < 0.0001), and insurance (χ2 = 41.29; p < 0.0001). PID and PIR metrics revealed reduced CT participation among non-White racial/ethnic groups and increased CT participation among White Non-Hispanic patients. Further, CT participants ≥80 or Worker's Compensation were underrepresented while those with Self-Pay insurance were overrepresented as CT participants.

Conclusions

Despite progress, continued efforts to not only enroll participants into CTs that are representative of the healthcare system and region, but also to better assess representativeness quantitatively are still needed.

Health equity assessment of machine learning performance (HEAL): a framework and dermatology AI model case study

Background

Artificial intelligence (AI) has repeatedly been shown to encode historical inequities in healthcare. We aimed to develop a framework to quantitatively assess the performance equity of health AI technologies and to illustrate its utility via a case study.

Methods

Here, we propose a methodology to assess whether health AI technologies prioritise performance for patient populations experiencing worse outcomes, that is complementary to existing fairness metrics. We developed the Health Equity Assessment of machine Learning performance (HEAL) framework designed to quantitatively assess the performance equity of health AI technologies via a four-step interdisciplinary process to understand and quantify domain-specific criteria, and the resulting HEAL metric. As an illustrative case study (analysis conducted between October 2022 and January 2023), we applied the HEAL framework to a dermatology AI model. A set of 5420 teledermatology cases (store-and-forward cases from patients of 20 years or older, submitted from primary care providers in the USA and skin cancer clinics in Australia), enriched for diversity in age, sex and race/ethnicity, was used to retrospectively evaluate the AI model's HEAL metric, defined as the likelihood that the AI model performs better for subpopulations with worse average health outcomes as compared to others. The likelihood that AI performance was anticorrelated to pre-existing health outcomes was estimated using bootstrap methods as the probability that the negated Spearman's rank correlation coefficient (i.e., "R") was greater than zero. Positive values of R suggest that subpopulations with poorer health outcomes have better AI model performance. Thus, the HEAL metric, defined as p (R >0), measures how likely the AI technology is to prioritise performance for subpopulations with worse average health outcomes as compared to others (presented as a percentage below). Health outcomes were quantified as disability-adjusted life years (DALYs) when grouping by sex and age, and years of life lost (YLLs) when grouping by race/ethnicity. AI performance was measured as top-3 agreement with the reference diagnosis from a panel of 3 dermatologists per case.

Findings

Across all dermatologic conditions, the HEAL metric was 80.5% for prioritizing AI performance of racial/ethnic subpopulations based on YLLs, and 92.1% and 0.0% respectively for prioritizing AI performance of sex and age subpopulations based on DALYs. Certain dermatologic conditions were significantly associated with greater AI model performance compared to a reference category of less common conditions. For skin cancer conditions, the HEAL metric was 73.8% for prioritizing AI performance of age subpopulations based on DALYs.

Interpretation

Analysis using the proposed HEAL framework showed that the dermatology AI model prioritised performance for race/ethnicity, sex (all conditions) and age (cancer conditions) subpopulations with respect to pre-existing health disparities. More work is needed to investigate ways of promoting equitable AI performance across age for non-cancer conditions and to better understand how AI models can contribute towards improving equity in health outcomes.

Funding

Google LLC.

Orthopaedic Sports Medicine Randomized Controlled Trials Infrequently Report on the Social Determinants of Health Factors of Their Patient Cohorts

PURPOSE

To describe the prevalence of randomized controlled trials (RCTs) in orthopaedic sports medicine-related journals reporting on the social determinants of health (SDOH) of their patient cohorts, including factors receiving less attention, such as education level, employment status, insurance status, and socioeconomic status.

METHODS

The PubMed/MEDLINE database was used to search for RCTs between 2020 and 2022 from 3 high-impact orthopaedic sports medicine-related journals: American Journal of Sports Medicine, Arthroscopy, and Journal of Shoulder and Elbow Surgery. The following information was extracted from each article: age, sex/gender, body mass index, year published, corresponding author country, and self-reported SDOH factors (race, ethnicity, education level, employment status, insurance status, and socioeconomic status).

RESULTS

A total of 189 articles were analyzed. Articles originated from 34 different countries, with the United States (n = 66) producing the greatest number of articles. Overall, age (n = 186; 98.4%) and sex/gender (n = 184; 97.4%) were the factors most commonly reported, followed by body mass index (n = 112; 59.3%), race (n = 17; 9.0%), ethnicity (n = 10; 5.3%), employment status (n = 9; 4.8%), insurance status (n = 7; 3.7%), and education level (n = 5; 2.6%). Socioeconomic status was not reported in any of the articles analyzed. Articles from the United States report on SDOH factors more frequently than international articles, most notably race (24.2% vs 0.8%, respectively) and ethnicity (15.2% and 0%, respectively).

CONCLUSIONS

RCTs from 3 high-impact orthopaedic sports medicine journals infrequently report on SDOH.

CLINICAL RELEVANCE

Better understanding patient SDOH factors in RCTs is important to help orthopaedic surgeons and other practitioners best apply study results to their patients, as well as help researchers and our field ensure that research is being done transparently with relevance to as many patients as possible.

Sex-Based Analysis of Quality Indicators of End-of-Life Care in Gastrointestinal Malignancies

Indices of aggressive or supportive end-of-life (EOL) care are used to evaluate health services quality. Disparities according to sex were previously described, with studies showing that male sex is associated with aggressive EOL care. This is a secondary analysis of 69,983 patients who died of a GI malignancy in Ontario between 2006 and 2018. Quality indices from the last 14-30 days of life and aggregate measures for aggressive and supportive EOL care were derived from administrative data. Hospitalizations, emergency department use, intensive care unit admissions, and receipt of chemotherapy were considered indices of aggressive care, while physician house call and palliative home care were considered indices of supportive care. Overall, a smaller proportion of females experienced aggressive care at EOL (14.3% vs. 19.0%, standardized difference = 0.13, where ≥0.1 is a meaningful difference). Over time, rates of aggressive care were stable, while rates of supportive care increased for both sexes. Logistic regression showed that younger females (ages 18-39) had increased odds of experiencing aggressive EOL care (OR 1.71, 95% CI 1.30-2.25), but there was no such association for males. Quality of EOL care varies according to sex, with a smaller proportion of females experiencing aggressive EOL care.

Applying Lessons from the COVID-19 Pandemic to Universal Health Care

The Universal Health Care (UHC) Act of the Philippines, signed into law in 2019, aims to provide a full range of health services to all Filipinos.1 However, its planned implementation was derailed with the COVID-19 pandemic. We observed a large variation in the pandemic response across regions and countries, highlighting the complex interplay of political, structural, economic, and cultural factors on health. 2 The Philippine national government implemented varying levels of community quarantine, risk communication, travel restrictions, testing and monitoring of at-risk individuals, and vaccination policies to control the pandemic, while the local government units (LGUs) were tasked to adopt and coordinate these policies in their communities. 3 The COVID-19 pandemic accentuated the existing weaknesses of our health system, of which inequity is a central problem. Uneven distribution of healthcare personnel, limited resources for testing, and limited access to medicines and supplies were important challenges faced particularly in geographically isolated and disadvantaged areas in the Philippines. LGUs implemented granular policies and context-specific interventions to respond to the varying conditions of communities in terms of local COVID-19 transmission, health system preparedness, health resources, and community responsiveness. 3 Examples of innovative approaches in the LGUs include reorganization of Barangay Health Emergency Response Teams, Zumba sessions of health workers, and backyard gardening of COVID-19 patients. 4 The COVID-19 pandemic highlighted the importance for health systems interventions to take into consideration the preparedness, availability of resources, and vulnerabilities of communities in the Philippines. As we enter the post-pandemic era, we have the opportunity to refine the implementation of the UHC law based on the lessons we learned from the pandemic. For our goal of providing quality health care to all Filipinos to come into fruition, we need to strive for health equity. Health equity refers to having the personal agency and fair access to resources needed to achieve the best possible standard of health for all people. 5,6 Given the socio-economic disparities, cultural diversity, and varied structural barriers present in the Philippines, context-sensitive interventions are important to ensure an inclusive healthcare system where no one gets left behind.7 Moreover, acceptability and feasibility of the health system interventions should be taken into consideration during the planning, preparation, and implementation stages of UHC implementation. In the advent of evidence-based health care, the priority health research agenda globally and in the Philippines now includes health equity research. Research to identify and measure the magnitude of health inequity, and research that evaluate interventions to reduce health inequity are vital as we strive to improve our health care systems.8 Although health equity cannot be measured directly, it is recommended to conduct research in the following areas: a.) difference in health in association with social position; b.) assessment of social and structural determinants of health; and c.) health equity indicators, including healthcare access, healthcare quality, financial protection, and health outcomes.5,9 These research would be essential to create policies and programs to promote health equity. We recognized the importance of strong and resilient health care systems during the COVID-19 pandemic. While important advancements have already been made in the Philippine health care, there is still much room for improvement. As we move forward with UHC in the Philippines, we can incorporate our experience with the COVID-19 pandemic to promote the provision of the best possible health care services for all.

Evaluating engagement with equity in Canadian provincial and territorial primary care policies: Results of a jurisdictional scan

Equitable access to primary care is essential to achieving more equitable health outcomes, yet evidence suggests that structurally marginalized populations are less likely to have benefited from varied primary care reforms in Canada. Our objective is to determine how equity is incorporated in public primary care policy and strategy documents across Canada. We conducted string term and snowball searches for provincial/territorial primary care policy documents published between 01 January 2018 and 30 June 2022, extracted the policy objective, and applied a rubric to evaluate each document's engagement with equity. We performed content analysis of the documents which acknowledged inequities and articulated a related policy response. Of the 224 identified documents that discussed primary care policy: 63 (28 %) identified one or more structurally marginalized group(s) experiencing inequities related to primary care, 64 (29 %) identified a structurally marginalized group and articulated a policy response, and 16 (7 %) articulated a detailed policy response to address inequities. Even where policy responses were articulated, in most cases these did not directly address the acknowledged inequities. The absence of measurable goals, meaningful community consultation, and tenuous connections between the policy response and inequities mentioned may help explain persistent inequities in primary care across Canada.

A Census Tract-Level Examination of Diagnosed HIV Infection and Social Vulnerability Themes Among Black/African American, Hispanic/Latino, and White Adults, 2019-USA

BACKGROUND

Assessing HIV diagnosis and the social vulnerability index (SVI) by themes (socioeconomic status, household composition and disability, minority status and English proficiency, and housing type and transportation) might help to identify specific social factors contributing to disparities across census tracts with high rates of diagnosed HIV infection in the USA.

METHODS

We examined HIV rate ratios in 2019 using data from CDC's National HIV Surveillance System (NHSS) for Black/African American, Hispanic/Latino, and White persons aged ≥ 18 years. NHSS data were linked to CDC/ATSDR SVI data to compare census tracts with the lowest SVI (Q1) and highest SVI (Q4) scores. Rates and rate ratios were calculated for 4 SVI themes by sex assigned at birth for age group, transmission category, and region of residence.

RESULTS

In the socioeconomic theme analysis, we observed wide within-group disparity among White females with diagnosed HIV infection. In the household composition and disability theme, we observed high HIV diagnosis rates among Hispanic/Latino and White males who lived in the least socially vulnerable census tracts. In the minority status and English proficiency theme, we observed a high percentage of Hispanic/Latino adults with diagnosed HIV infection in the most socially vulnerable census tracts. In the housing type and transportation theme, we observed a high percentage of HIV diagnoses attributed to injection drug use in the most socially vulnerable census tracts.

CONCLUSION

The development and prioritization of interventions that address specific social factors contributing to disparities in HIV across census tracts with high diagnosis rates are critical to reducing new HIV infections in the USA.

Addressing Structural Inequalities, Structural Racism, and Social Determinants of Health: a Vision for the Future

Significant national discourse has focused on the idea of structural inequalities and structural racism within a variety of societal sectors, including healthcare. This perspective provides an understanding of the historic and pervasive nature of structural inequalities and structural racism; uses well-known frameworks in health equity research for conceptualizing structural inequality and structural racism; offers a summary of the consequences of structural inequalities and structural racism on modern-day health outcomes; and concludes with strategies and suggestions for a way forward. Recommended strategies across different sectors of influence include (a) employment and economic empowerment sector: creating capacity for individuals to earn livable wages; (b) education sector: developing new funding structures to ensure equal opportunities are offered to all; (c) healthcare sector: prioritizing universal access to high-quality health care, including mental health treatment; (d) housing sector: improving access to affordable, safe housing through public-private partnerships; (e) criminal justice sector: focusing reform on restorative justice that is people-centric instead of punitive; and (f) environmental sector: creating sustainable systems that alleviate downstream consequences of climate change. The recommended strategies account for the mutually reinforcing and pervasive nature of structural inequalities/structural racism and target key sectors of influence to enhance overall health outcomes and achieve equity regardless of race, ethnicity, or socioeconomic status.

A Feasibility Study Describing the Successes and Challenges of Implementing a Virtual Community Health Worker Training Among High School Students Participating in a Summer STEM Enrichment Program

University of Maryland, Baltimore CURE Connections (UMB CURE) connects West Baltimore high school students with STEM enrichment including hands-on research and community outreach. This study's purpose was to describe successes and challenges of implementing the virtual Community Health Worker curriculum during the summer programming for UMB CURE high school scholars. This certificate-based program was designed to teach students about the community health field while providing training that demonstrates competence as a community health worker. The training was implemented over two summer sessions (2020 and 2021). Scholars completed a survey to assess program satisfaction. A subset of scholars completed qualitative interviews that focused on scholars' summer program experience and recommendations for program improvement. Engagement metrics (scholar participation, retention) were compiled. Overall themes from qualitative interviews included (1) overall summer program experience, (2) about the Morehouse curriculum, (3) advice for future scholars, (4) in-person versus virtual summer program, and (5) recommendations for the program. While the program was generally well-received, scholars required more instruction and guidance than anticipated. Many found the required assignments challenging to navigate, citing virtual instruction as a reason. Scholars also requested more hands-on synchronous STEM-focused activities. These data will be used to modify future programming to engage scholars in out-of-school-time STEM initiatives.

Inequalities in health outcomes of SARS-CoV-2 infection by migration status in Barcelona, Spain

Background

Migrants are a vulnerable population at risk of worse health outcomes due to legal status, language barriers, and socioeconomic and cultural factors. Considering the conflicting literature on the subject, it is important to further explore the extent and nature of these inequalities.

Objective

The aim of this study is to compare health outcomes associated with SARS-CoV-2 infection between Spanish native and migrant population living in Barcelona.

Methods

Observational retrospective cohort study including all adult cases of SARS-CoV-2 infection who visited a tertiary hospital in Barcelona between the 1st March 2020 and the 31st March 2022. We established the following five health outcomes: the presence of symptomatology, hospitalisation, intensive care unit admission, use of mechanical ventilation, and in-hospital 30-day mortality (IHM). Using Spanish natives as a reference, Odds Ratios (OR) with 95% confidence interval (95%CI) were calculated for migrants by multivariate logistic regression and adjusted by sociodemographic and clinical factors.

Results

Of 11,589 patients (46.8% females), 3,914 were born outside of Spain, although 34.8% of them had legal citizenship. Most migrants were born in the Americas Region (20.3%), followed by other countries in Europe (17.2%). Migrants were younger than natives (median 43 [IQR 33-55] years vs. 65 [49-78] years) and had a higher socioeconomic privation index, less comorbidities, and fewer vaccine doses. Adjusted models showed migrants were more likely to report SARS-CoV-2 symptomatology with an adjusted OR of 1.36 (95%CI 1.20-1.54), and more likely to be hospitalised (OR 1.11 [IC95% 1.00-1.23], p < 0.05), but less likely to experience IHM (OR 0.67 [IC95% 0.47-0.93], p < 0.05).

Conclusion

Characteristics of migrant and native population differ greatly, which could be translated into different needs and health priorities. Native population had higher odds of IHM, but migrants were more likely to present to care symptomatic and to be hospitalised. This could suggest disparities in healthcare access for migrant population. More research on health disparities beyond SARS-CoV-2 in migrant populations is necessary to identify gaps in healthcare access and health literacy.

Health Equity Ratings of U.S. Burn Centers-Does For-Profit Status Matter?

Achieving health equity is forefront in national discussions on healthcare structuring. Burn injuries transcend racial and socioeconomic boundaries. Burn center funding ranges from safety-net to for-profit without an understanding of how funding mechanisms translate into equity outcomes. We hypothesized that health equity would be highest at safety-net facilities and lowest at for-profit centers. All verified and non-verified American Burn Association burn centers were collated in 2022. Safety-net status, for-profit status, and health equity rating were extracted from national datasets. Equity ratings were compared across national burn centers and significance was determined with comparative statistics and ordinal logistic regression. On an equity grade of A-D (A is the best), 27.6% of centers were rated A, 27.6% rated B, 41.5% rated C, and 3.3% rated D. About 17.1% of all burn centers were designated as for-profit compared to 21.1% of centers that were safety-net. About 73.1% of safety-net centers scored an A rating, and 14.3% of for-profit centers scored an A rating. Safety-net centers were 21.8 times more likely (P < .001) to have the highest equity score compared to nonsafety-net centers. There was an 80% decrease in the odds of having a rating of A for for-profit centers compared to nonprofit centers (P = .04). Safety-net centers had the highest equity ratings while for-profit burn centers scored the lowest. For-profit funding mechanisms may lead to the delivery of less equitable burn care. Burn centers should focus on health equity in the triage and management of their patients.

Examining PTSD Prevalence Among Underserved Populations in the Integrated Community Mental Health Setting 2019 to 2022

BACKGROUND

The prevalence of Post Traumatic Stress Disorder (PTSD) has been rising since the start of the COVID-19 pandemic, and affects females, sexual and gender minorities, and individuals with social risks at higher rates.

OBJECTIVE

This study examines if the prevalence of PTSD increased from 2019 to 2022 among patients who received care in a national network of safety-net, community-based health centers with integrated behavioral health programs that serve patients at high risk for PTSD.

METHODS

We analyzed electronic health record data from patients with 1 or more behavioral health visits during 2019 to 2022 using repeated cross-sectional data to visualize trends. Change in PTSD prevalence based on the diagnoses associated with each visit from 2019 to 2022 was assessed using a general linear mixed model adjusted for patient-level factors.

RESULTS

Over 4 years, 182 419 distinct patients received care for PTSD, with prevalence increasing from 2019 to 2022 (OR = 1.09, 95% CI = 1.08, 1.10). Females (OR = 1.81, 95% CI = 1.78, 1.84), LGBTQIA individuals (OR = 1.29, 95% CI = 1.26, 1.33), gender diverse individuals (OR = 1.36, 95% CI = 1.29, 1.42), and patients who reported 1 or more social determinants of health needs (OR = 1.52, 95% CI = 1.46, 1.57) were more likely to have a diagnosis of PTSD.

CONCLUSIONS

In a worrying trend, PTSD prevalence has increased among people receiving integrated behavioral health care at community-based health centers, with disparities observed in subpopulations. Continued effort and investment are needed to meet this increasing need in safety-net settings, particularly for those subpopulations observed to have higher prevalence.

Parents' Understanding About Children's Bullying: Fall ConsumerStyles Survey, United States, 2017, 2018, and 2019

The purpose of this study was to explore U.S. parents' and caregivers' understanding about children's bullying-what bullying is and how to address it. We analyzed 2017, 2018, and 2019 Fall ConsumerStyles online panel survey data from U.S. parents/caregivers of children ages 10 to 17 years (N = 1,516), including 20 items representing statements consistent or inconsistent with the bullying prevention evidence and best practices. Percentage of endorsement for each item and a summary measure of understanding about bullying were calculated. The association between low overall understanding about bullying and sociodemographic characteristics was explored. Most parents identified bullying as harmful (77%), repetitive (63%), and involving power imbalance (51%). At least half of parents answered 13 or more items (20 total) consistent with the bullying prevention evidence or best practices. Being male, non-Hispanic Black or Hispanic, having high school or less education, and small household size were associated with higher odds of low overall understanding about bullying. Awareness of parents' understanding about bullying and how to appropriately address it is vital for bullying prevention. Findings can inform the strategic development of bullying prevention health messages for parents.

Racial/Ethnic disparities in exposure to neighborhood violence and lung cancer risk in Chicago

BACKGROUND

Despite the lower prevalence and frequency of smoking, Black adults are disproportionately affected by lung cancer. Exposure to chronic stress generates heightened immune responses, which creates a cell environment conducive to lung cancer development. Residents in poor and segregated neighborhoods are exposed to increased neighborhood violence, and chronic exposure to violence may have downstream physiological stress responses, which may explain racial disparities in lung cancer in predominantly Black urban communities.

METHODS

We utilized retrospective electronic medical records of patients who underwent a screening or diagnostic test for lung cancer at an academic medical center in Chicago to examine the associations between lung cancer diagnosis and individual characteristics (age, gender, race/ethnicity, and smoking status) and neighborhood-level homicide rate. We then used a synthetic population to estimate the neighborhood-level lung cancer risk to understand spatial clusters of increased homicide rates and lung cancer risk.

RESULTS

Older age and former/current smoking status were associated with increased odds of lung cancer diagnosis. Hispanic patients were more likely than White patients to be diagnosed with lung cancer, but there was no statistical difference between Black and White patients in lung cancer diagnosis. The odds of being diagnosed with lung cancer were significantly higher for patients living in areas with the third and fourth quartiles of homicide rates compared to the second quartile of homicide rates. Furthermore, significant spatial clusters of increased lung cancer risk and homicide rates were observed on Chicago's South and West sides.

CONCLUSIONS

Neighborhood violence was associated with an increased risk of lung cancer. Black residents in Chicago are disproportionately exposed to neighborhood violence, which may partially explain the existing racial disparity in lung cancer. Incorporating neighborhood violence exposure into lung cancer risk models may help identify high-risk individuals who could benefit from lung cancer screening.

Evaluating Clinic-Based Interventions to Reduce Racial Differences in Mortality Among People With Human Immunodeficiency Virus in the United States

BACKGROUND

Mortality remains elevated among Black versus White adults receiving human immunodeficiency virus (HIV) care in the United States. We evaluated the effects of hypothetical clinic-based interventions on this mortality gap.

METHODS

We computed 3-year mortality under observed treatment patterns among >40 000 Black and >30 000 White adults entering HIV care in the United States from 1996 to 2019. We then used inverse probability weights to impose hypothetical interventions, including immediate treatment and guideline-based follow-up. We considered 2 scenarios: "universal" delivery of interventions to all patients and "focused" delivery of interventions to Black patients while White patients continued to follow observed treatment patterns.

RESULTS

Under observed treatment patterns, 3-year mortality was 8% among White patients and 9% among Black patients, for a difference of 1 percentage point (95% confidence interval [CI], .5-1.4). The difference was reduced to 0.5% under universal immediate treatment (95% CI, -.4% to 1.3%) and to 0.2% under universal immediate treatment combined with guideline-based follow-up (95% CI, -1.0% to 1.4%). Under the focused delivery of both interventions to Black patients, the Black-White difference in 3-year mortality was -1.4% (95% CI, -2.3% to -.4%).

CONCLUSIONS

Clinical interventions, particularly those focused on enhancing the care of Black patients, could have significantly reduced the mortality gap between Black and White patients entering HIV care from 1996 to 2019.

Measuring health equity in the ASEAN region: conceptual framework and assessment of data availability

BACKGROUND

Existing research on health equity falls short of identifying a comprehensive set of indicators for measurement across health systems. Health systems in the ASEAN region, in particular, lack a standardised framework to assess health equity. This paper proposes a comprehensive framework to measure health equity in the ASEAN region and highlights current gaps in data availability according to its indicator components.

METHODS

A comprehensive literature review was undertaken to map out a core set of indicators to evaluate health equity at the health system level. Secondary data collection was subsequently conducted to assess current data availability for ASEAN states in key global health databases, national health accounts, and policy documents.

RESULTS

A robust framework to measure health equity was developed comprising 195 indicators across Health System Inputs and Processes, Outputs, Outcomes, and Contextual Factors. Total indicator data availability equated to 72.9% (1423/1950). Across the ASEAN region, the Inputs and Processes sub-component of Health Financing had complete data availability for all indicators (160/160, 100%), while Access to Essential Medicine had the least data available (6/30, 20%). Under Outputs and Outcomes, Coverage of Selected Interventions (161/270, 59.63%) and Population Health (350/350, 100%) respectively had the most data available, while other indicator sub-components had little to none (≤ 38%). 72.145% (384/530) of data is available for all Contextual Factors. Out of the 10 ASEAN countries, the Philippines had the highest data availability overall at 77.44% (151/195), while Brunei Darussalam and Vietnam had the lowest data availability at 67.18% (131/195).

CONCLUSIONS

The data availability gaps highlighted in this study underscore the need for a standardised framework to guide data collection and benchmarking of health equity in ASEAN. There is a need to prioritise regular data collection for overlooked indicator areas and in countries with low levels of data availability. The application of this indicator framework and resulting data availability analysis could be conducted beyond ASEAN to enable cross-regional benchmarking of health equity.

Patient Perspectives on Social Risk Screening and Documentation in a Dermatology Clinic

Importance

Providing person-centered dermatologic care includes consideration of social risk factors, such as housing instability and unreliable transportation, that may affect clinical management. Patients' perspectives on social risk screening and documentation in dermatology clinics have not yet been evaluated.

Objective

To understand patients' perspectives on social risk screening and documentation in a dermatology clinic.

Design, Setting, and Participants

This mixed-methods study used a survey and semistructured interviews and was conducted in a general dermatology clinic at a large urban public hospital. Patients at the clinic were eligible to complete the survey if they were 18 years or older; able to speak and read English, Spanish, or Cantonese; and comfortable using a computer tablet. Survey participants who preferred to use English were eligible for interviews. The survey included social risk screening questions, measures of acceptability, and questions on social risk factors associated with patient acceptability. Semistructured interviews were conducted to explore attitudes and beliefs about social risk screening and documentation. Survey and interview findings were integrated during data analysis through development of themes and joint display. Data were analyzed from December 2021 to April 2023.

Main Outcomes and Measures

There were 2 outcome measures of acceptability: appropriateness of screening in a dermatology clinic and comfort with documentation of social risk in the electronic health record (EHR).

Results

A total of 135 participants (including 73 males [54.1%]) answered both measures of acceptability in the survey. Of these participants, 116 (85.9%) reported that social risk screening in their dermatology clinic was very or somewhat appropriate and 85 (63.0%) reported being completely or somewhat comfortable with having their social risks documented in the EHR. Themes that were developed from surveys and interviews were the (1) role of interpersonal factors in willingness to disclose social risks, (2) implications of institutional trust for willingness to disclose and comfort with documentation, and (3) relevance of screening in a dermatology clinic.

Conclusions and Relevance

Results of this study showed that most participants found social risk screening to be appropriate in a dermatology clinic, although a smaller proportion of participants were comfortable with EHR documentation of their social risks. Optimizing patients' trust in their physicians and the medical system, while addressing privacy and discrimination concerns, may help facilitate disclosure of social risks.

Poverty and population health - The need for A Paradigm shift to capture the working poor and better inform public health planning

BACKGROUND

Community-level socioeconomic disparities have a significant impact on an individual's health and overall well-being. However, current estimates for poverty threshold, which are often used to assess community-level socioeconomic status, do not account for cost-of-living differences or geography variability. The goals of this study were to compare geographic county-level overlap and gaps in access to care for households within poverty and working poor designations.

METHODS

Data were obtained for 21 continental United States (US) states from the United Way's Asset Limited, Income Constrained, Employed (ALICE) households for 2021. Raw data contained the percentage of households at the federal poverty level, the percentage of households at the ALICE designations (working poor), and the total households at the county level. Local Moran's I tests for spatial autocorrelation were performed to identify the clustering of poverty and ALICE households. These clusters were overlaid with a 30-min drive time from critical access hospitals' physical addresses.

FINDINGS

County-level clusters of ALICE (working poor) households occurred in different areas than the clustering of poverty households. Of particular interest, the extent to which the 30-min drive time to critical care overlapped with clusters of ALICE or poverty changed depending on the state. Overall, clustering in ALICE and poverty overlapped with 30-min drive times to critical care between 46 and 90% of the time. However, the specific states where disparities in access to care were prominent differed between analyses focused on households in poverty versus the working poor.

INTERPRETATIONS

Findings highlight a disparity in equitable inclusion of individuals across the spectrum of socioeconomic status. Furthermore, they suggest that current public health programming and benefits which support low socioeconomic populations may be missing a vulnerable sub-population of working families. Future studies are needed to better understand how to address the health disparities facing individuals who are above the poverty threshold but still struggle economically to meet based needs.

Applying a Health Equity Lens to Work-Related Motor Vehicle Safety in the United States

Motor vehicle crashes (MVCs) are the leading cause of fatal work-related injuries in the United States. Research assessing sociodemographic risk disparities for work-related MVCs is limited, yet structural and systemic inequities at work and during commutes likely contribute to disproportionate MVC risk. This paper summarizes the literature on risk disparities for work-related MVCs by sociodemographic and employment characteristics and identifies worker populations that have been largely excluded from previous research. The social-ecological model is used as a framework to identify potential causes of disparities at five levels-individual, interpersonal, organizational, community, and public policy. Expanded data collection and analyses of work-related MVCs are needed to understand and reduce disparities for pedestrian workers, workers from historically marginalized communities, workers with overlapping vulnerabilities, and workers not adequately covered by employer policies and safety regulations. In addition, there is a need for more data on commuting-related MVCs in the United States. Inadequate access to transportation, which disproportionately affects marginalized populations, may make travel to and from work less safe and limit individuals' access to employment. Identifying and remedying inequities in work-related MVCs, whether during the day or while commuting, will require the efforts of industry and multiple public sectors, including public health, transportation, and labor.

Traveling Together: A Road Map for Researching Neighborhood Effects on Population Health and Health Inequities

As evidence of the relationship between place and health mounts, more epidemiologists and clinical science researchers are becoming interested in incorporating place-based measures and analyses into their examination of population health and health inequities. Given the extensive literature on place and health, it can be challenging for researchers new to this area to develop neighborhood-effects research questions and apply the appropriate measures and methods. This paper provides a road map for guiding health researchers through the conceptual and methodological stages of incorporating various dimensions of place into their quantitative health research. Synthesizing across reviews, commentaries, and empirical investigations, the road map consists of 4 broad stages for considering place and health: 1) why?: articulating the motivation for assessing place and health and grounding the motivation in theory; 2) what?: identifying the relevant place-based characteristics and specifying their link to health to build a conceptual framework; 3) how?: determining how to operationalize the conceptual framework by defining, measuring, and assessing place-based characteristics and quantifying their effect on health; and 4) now what?: discussing the implications of neighborhood research findings for future research, policy, and practice. This road map supports efforts to develop conceptually and analytically rigorous neighborhood research projects.

The Hawai'i NHPI Data Disaggregation Imperative: Preventing Data Genocide Through Statewide Race and Ethnicity Standards

Federal race and ethnicity data standards are commonly applied within the state of Hawai'i. When a multiracial category is used, Native Hawaiians are disproportionately affected since they are more likely than any other group to identify with an additional race or ethnicity group. These data conventions contribute to a phenomenon known as data genocide - the systematic erasure of Indigenous and marginalized peoples from population data. While data aggregation may be unintentional or due to real or perceived barriers, the obstacles to disaggregating data must be overcome to advance health equity. In this call for greater attention to relevant social determinants of health through disaggregation of race and ethnicity data, the history of data standards is reviewed, the implications of aggregation are discussed, and recommended disaggregation strategies are provided.