Relationship between Neighborhood-Level Social Risk Factor Measures and Presenting Glaucoma Severity Utilizing Multilevel Modeling.

Purpose: The neighborhood and built environment social determinant of health domain has several social risk factors (SRFs) that are modifiable through policy efforts. We investigated the impact of neighborhood-level SRFs on presenting glaucoma severity at a tertiary eye care center. Design: A cross-sectional study from August 2012 to May 2022 in the University of Michigan electronic health record (EHR). Participants: Patients with a diagnosis of any open-angle glaucoma with ≥1 eye care visit at the University of Michigan Kellogg Eye Center and ≥1 reliable visual field (VF). Methods: Participants who met inclusion criteria were identified by International Classification of Diseases ninth and tenth revision codes (365.x/H40.x). Data extracted from the EHR included patient demographics, address, presenting mean deviation (MD), and VF reliability. Addresses were mapped to SRF measures at the census tract, block group, and county levels. Multilevel linear regression models were used to estimate the fixed effects of each SRF on MD, after adjusting for patient-level demographic factors and a random effect for neighborhood. Interactions between each SRF measure with patient-level race and Medicaid status were tested for an additive effect on MD. Main Outcome Measures: The main outcome measure was the effect of SRF on presenting MD. Results: In total, 4428 patients were included in the analysis who were, on average, 70.3 years old (standard deviation = 11.9), 52.6% self-identified as female, 75.8% self-identified as White race, and 8.9% had Medicaid. The median value of presenting MD was -4.94 decibels (dB) (interquartile range = -11.45 to -2.07 dB). Neighborhood differences accounted for 4.4% of the variability in presenting MD. Neighborhood-level measures, including worse area deprivation (estimate, ß = -0.31 per 1-unit increase; P < 0.001), increased segregation (ß = -0.92 per 0.1-unit increase in Theil's H index; P < 0.001), and increased neighborhood Medicaid (ß = -0.68; P < 0.001) were associated with worse presenting MD. Significant interaction effects with race and Medicaid status were found in several neighborhood-level SRF measures. Conclusions: Although patients' neighborhood SRF measures accounted for a minority of the variability in presenting MD, most neighborhood-level SRFs are modifiable and were associated with clinically meaningful differences in presenting MD. Policies that aim to reduce neighborhood inequities by addressing allocation of resources could have lasting impacts on vision outcomes. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Relationships between social determinants of health and healthy body composition among Aboriginal and Torres Strait Islander youth in the Next Generation: Youth Well-being study.

ISSUE ADDRESSED: Little is currently known about the relationships between body composition and the social determinants of health among Aboriginal and Torres Strait Islander youth in Australia, which could help inform policy responses to address health inequities. METHODS: This study aimed to explore the relationship between various social factors and healthy body mass index (BMI) and waist/height ratio (WHtR) among Aboriginal and Torres Strait Islander youth aged 16-24 years. Baseline survey data from 531 participants of the 'Next Generation: Youth Well-being study' were used. Robust Poisson regression quantified associations between healthy body composition and self-reported individual social factors (education, employment and income, government income support, food insecurity, home environment, relationship status, racism), family factors (caregiver education and employment) and area-level factors (remoteness, socioeconomic status). RESULTS: Healthy body composition was less common among those living in a crowded home (healthy WHtR aPR 0.67 [0.47-0.96]) and those receiving government income support (healthy BMI aPR 0.74 [0.57-0.95]). It was more common among those with tertiary educated caregivers (healthy BMI aPR 1.84 [1.30-2.61]; healthy WHtR aPR 1.41 [1.05-1.91]) and those in a serious relationship (healthy BMI aPR 1.33 [1.02-1.75]). CONCLUSIONS: Social factors at the individual and family level are associated with healthy body composition among Aboriginal and Torres Strait Islander youth. SO WHAT?: The findings of this study highlight the potential for health benefits for youth from policies and programs that address social inequities experienced by Aboriginal and Torres Strait Islander people in Australia.

[Promoting Equity, Diversity, and Inclusion in Healthcare: An Example of the COVID-19 Pandemic].

Healthcare systems must embody equity, diversity, and inclusion (EDI) and, in the event of unfairness, appropriate policies / countermeasures should be enacted. The healthcare system response to the COVID-19 pandemic not only highlighted how socioeconomic disparities affect mortality risk but also posed significant challenges to the successful practice of EDI in healthcare. In light of this, this article was written to provide an overview of EDI, analyze the international efforts to promote it, and suggest strategies for promoting EDI in infectious disease healthcare using COVID-19 as an example. In healthcare settings, equity centers on ensuring patients receive fair treatment regardless of race, gender, age, or socioeconomic status; diversity centers on healthcare providers understanding the uniqueness of patients from different cultural backgrounds and the health barriers they face; and inclusion centers on ensuring patients are treated with respect and given the attention they deserve. During pandemics, social determinants of health (SDOH) greatly impact patient health outcomes and hinder the practice of EDI. Reflecting on the impact of COVID-19, healthcare systems can actively apply EDI in clinical practice to provide to all patients equitable access to healthcare opportunities and outcomes. Practical strategies include establishing EDI committees within healthcare systems, monitoring relevant data, conducting staff training, and continuously addressing the SDOH and needs of marginalized groups to achieve EDI in healthcare.

Hospital volume does not mitigate the impact of area socioeconomic deprivation on heart transplantation outcomes.

BACKGROUND: While structural socioeconomic inequity has been linked with inferior health outcomes, some have postulated reduced access to high-quality care to be the mediator. We assessed whether treatment at high-volume centers (HVC) would mitigate the adverse impact of area deprivation on heart transplantation (HT) outcomes. METHODS: All HT recipients ≥18 years were identified in the 2005-2022 Organ Procurement and Transplantation Network. Neighborhood socioeconomic deprivation was assessed using the previously validated Area Deprivation Index. Recipients with scores in the highest quintile were considered Most Deprived (others: Less Deprived). Hospitals in the highest quartile by cumulative center volume (≥21 transplants/year) were classified as HVC. The primary outcome was post-transplant survival. RESULTS: Of 38,022 HT recipients, 7,579 (20%) were considered Most Deprived. Following risk adjustment, Most Deprived demonstrated inferior survival at 3 (hazard ratio [HR] 1.14, 95% confidence interval [CI] 1.06-1.21) and 5 years following transplantation (HR 1.13, CI 1.07-1.20). Similarly, Most Deprived faced greater graft failure at 3 (HR 1.14, CI 1.06-1.22) and 5 years (HR 1.13, CI 1.07-1.20). Evaluating patients transplanted at HVC, Most Deprived continued to face greater mortality at 3 (HR 1.10, CI 1.01-1.21) and 5 years (HR 1.10, CI 1.01-1.19). The interaction between Most Deprived status and care at HVC was not significant, such that transplantation at HVC did not ameliorate the survival disparity between Most and Less Deprived. CONCLUSIONS: Area socioeconomic disadvantage is independently associated with inferior survival. Transplantation at HVC did not eliminate this inequity. Future efforts are needed to increase engagement with longitudinal follow-up care and address systemic root causes to improve outcomes.

Participant Personal Characteristics and Adherence to Oral Capsules: A Secondary Analysis of a Randomized Placebo-Controlled Trial of Antenatal Probiotics.

BACKGROUND: Adherence to study interventions is critical to the conduct of randomized controlled trials (RCTs). The relationships between participant characteristics and intervention adherence are understudied in pregnant populations. The purpose of this study was to conduct a secondary analysis of adherence to study capsules in a double-masked, placebo-controlled RCT of a probiotic intervention to reduce antenatal Group B Streptococcus colonization, in relationship to participant characteristics. METHODS: We analyzed the relationship between capsule adherence rates and demographic characteristics among 81 RCT participants. Categorical variables were reported using counts and percentages, and continuous variables were expressed as means along with their standard deviations. For the univariate analyses, we compared demographic variables with adherence scores. A multivariate linear regression model was used to identify predictors of adherence. RESULTS: Average adherence was similar for control and probiotic group participants (P = .86) Univariate analysis showed that average adherence increased directly with age, education, and income. Participants who were partnered or living with others had higher average adherence compared with those who were single and living alone. Asian and White participants had the highest and Black participants had the lowest average, and there was no difference based on Hispanic ethnicity. Adjusting for all the variables in the regression, participants who identified as Black were significantly less likely to adhere to capsules than White participants, and those who were married or living with partners were more likely to adhere than the single participants. DISCUSSION: Diverse participants are critically important to RCTs. This secondary analysis provides evidence that participant characteristics and the social determinants of health play an important role in adherence to self-administered interventions in RCTs, although more research is needed. Our findings suggest that intentional consideration of RCT participant characteristics may allow for the development and tailoring of strategies to enhance intervention adherence. The study was registered on ClinicalTrials.gov (NCT03696953) on January 10, 2018.

Prospective associations between early childhood mental health concerns and formal diagnosis of neurodevelopmental disorders in adolescence.

Introduction: Understanding associations between psychosocial development in early childhood and formal diagnosis of neurodevelopmental disorders (NDDs) in adolescence is critical for early identification and for tailoring interventions and support. This study investigated whether the Strengths and Difficulties Questionnaire (SDQ) scores in early childhood (4-5 years) predict mental health (MH) problems as evidenced by SDQ scores and formal diagnosis of NDDs in adolescence (16-17 years). Methods: This study analysed data from a sample of 4968 children and adolescents using data from the Longitudinal Study of Australian Children. We used hierarchical regression models to determine the association between SDQ subscales and total scores at ages 4-5 years (primary exposure) and total SDQ scores and NDD diagnoses at ages 16-17 years (outcomes) whilst controlling for sociodemographic risk factors. Results: Each unit increase in SDQ score at age 4-5 led to a rise in SDQ scores at age 16-17. Autism and ADHD diagnoses, female gender, lower maternal education, and financial hardship were associated with higher SDQ scores at age 16-17. Furthermore, parent reported SDQ at age 4-5 was linked to higher likelihoods of formal diagnoses of ADHD, autism, and ADHD/autism at age 16-17. Additionally, social determinants of health such as female gender, culturally and linguistically diverse (CALD) backgrounds, and financial hardship were associated with increased odds of ADHD, autism, and ADHD/autism diagnoses at age 16-17. Conclusion: Our findings highlight the opportunity for early identification of transdiagnostic developmental and MH issues in the preschool period. Findings also emphasise the critical role of social determinants of health in the longitudinal trajectory of MH and NDDs and highlight the need for implementing early supports for improving peer relations and behavioural support strategies. If coupled with wrap around social care, early support strategies can enhance MH and wellbeing in adolescence and beyond.

Racial and Ethnic Differences in Traumatic Brain Injury Outcomes From 2009 to 2023: Protocol for a Systematic Review.

BACKGROUND: In 2009, Gary and colleagues reviewed prior research examining racial and ethnic differences in outcomes after traumatic brain injury (TBI). Over the past 15 years, advances in research and changes in the demographic composition of the United States warrant a comprehensive understanding of racial and ethnic disparities after TBI. OBJECTIVE: A systematic review will be conducted to examine racial and ethnic differences in TBI outcomes from 2009 to 2023. METHODS: Preliminary searches and study screening processes will identify relevant English-language articles published from January 2009 to December 2023 using the CINAHL, Gale OneFile, PsycINFO (Ovid), and PubMed electronic databases. Relevant articles will include quantitative or mixed method approaches, involve individuals with TBI or their caregivers, and compare 2 or more groups by race or ethnicity on post-TBI outcomes. Quality will be assessed using the Newcastle-Ottawa Scale. This systematic review protocol was developed following PRISMA-P (Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols) guidelines. Results will be summarized, and a subgroup analysis may be conducted based on demographics (eg, age, gender, or sex). RESULTS: We have already identified abstracts using the search strategy for all 4 of the included electronic databases. We recently updated the search and will begin abstract screening of the additional abstracts identified from the last search completed in January 2024. This systematic review is anticipated to be completed by fall 2024, and its findings will be disseminated to the scientific community, persons with TBI, caregivers, and the lay audience. CONCLUSIONS: This systematic review will advance our understanding regarding outcome disparities among minoritized individuals with TBI, examine progress over the past 15 years in minimizing barriers encountered by these racial and ethnic groups, and provide professionals with a roadmap illustrating existing gaps in rehabilitation care, making way for further development and implementation of evidence-based interventions to improve health equity in TBI outcomes. TRIAL REGISTRATION: PROSPERO CRD42023394529; https://tinyurl.com/53mtcz9b. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/58763.

Research Priorities in Pediatric Asthma Morbidity: Addressing the Impacts of Systemic Racism on Children with Asthma in the United States. An Official American Thoracic Society Workshop Report.

Background: In the United States, Black and Latino children with asthma are more likely than White children with asthma to require emergency department visits or hospitalizations because of an asthma exacerbation. Although many cite patient-level socioeconomic status and access to health care as primary drivers of disparities, there is an emerging focus on a major root cause of disparities-systemic racism. Current conceptual models of asthma disparities depict the historical and current effects of systemic racism as the foundation for unequal exposures to social determinants of health, environmental exposures, epigenetic factors, and differential healthcare access and quality. These ultimately lead to biologic changes over the life course resulting in asthma morbidity and mortality. Methods: At the 2022 American Thoracic Society International Conference, a diverse panel of experts was assembled to identify gaps and opportunities to address systemic racism in childhood asthma research. Panelists found that to examine and address the impacts of systemic racism on children with asthma, researchers and medical systems that support biomedical research will need to 1) address the current gaps in our understanding of how to conceptualize and characterize the impacts of systemic racism on child health, 2) design research studies that leverage diverse disciplines and engage the communities affected by systemic racism in identifying and designing studies to evaluate interventions that address the racialized system that contributes to disparities in asthma health outcomes, and 3) address funding mechanisms and institutional research practices that will be needed to promote antiracism practices in research and its dissemination. Results: A thorough literature review and expert opinion discussion demonstrated that there are few studies in childhood asthma that identify systemic racism as a root cause of many of the disparities seen in children with asthma. Community engagement and participation in research studies is essential to design interventions to address the racialized system in which patients and families live. Dissemination and implementation studies with an equity lens will provide the multilevel evaluations required to understand the impacts of interventions to address systemic racism and the downstream impacts. To address the impacts of systemic racism and childhood asthma, there needs to be increased training for research teams, funding for studies addressing research that evaluates the impacts of racism, funding for diverse and multidisciplinary research teams including community members, and institutional and financial support of advocating for policy changes based on study findings. Conclusions: Innovative study design, new tools to identify the impacts of systemic racism, community engagement, and improved infrastructure and funding are all needed to support research that will address impacts of systemic racism on childhood asthma outcomes.

How post overdose response efforts can address social determinants of health among people who use drugs: perspectives from the New York State Department of Health (NYSDOH) Post Overdose Response Team (PORT).

Individuals who have survived an overdose often have myriad needs that extend far beyond their drug use. The social determinants of health (SDOH) framework has been underutilized throughout the opioid overdose crisis, despite widespread acknowledgment that SDOH are contributors to the majority of health outcomes. Post Overdose Response Teams (PORTs) engage with individuals who have experienced 1 or more nonfatal overdoses and bear witness to the many ways in which overdose survivors experience instability with healthcare, housing, employment, and family structure. Employing a harm reduction model, PORTs are well-positioned to reach people who use drugs (PWUD) and to address gaps in basic needs on an individualized basis, including providing social support and a sense of personal connection during a period of heightened vulnerability. The New York State Department of Health (NYSDOH) PORT program is a harm reduction initiative that utilizes law enforcement data and several public databases to obtain accurate referral information and has been active since 2019 in NYC. This PORT program offers various services from overdose prevention education and resources, referrals to health and treatment services, and support services to overdose survivors and individuals within their social network. This perspective paper provides an in-depth overview of the program and shares quantitative and qualitative findings from the pilot phase and Year 1 of the program collected via client referral data, interviews, and case note reviews. It also examines the barriers and successes the program encountered during the pilot phase and Year 1. The team's approach to addressing complex needs is centered around human connection and working toward addressing SDOH one individualized solution at a time. Application of the NYSDOH PORT model as outlined has the potential to create significant positive impacts on the lives of PWUD, while potentially becoming a new avenue to reduce SDOH-related issues among PWUD.

Tailoring HIV Care for Black Populations: A Pilot Feasibility Prospective Cohort Study.

BACKGROUND: Research has shown that integrating community health workers (CHWs) into the formal health care system can improve outcomes for people living with HIV, yet there is limited literature exploring this framework among marginalized minority populations. OBJECTIVE: Herein, we discuss the feasibility of a clinic-embedded CHW strategy to improve antiretroviral therapy adherence among Black people living with HIV in Miami-Dade County, Florida, a designated priority region for the US Department of Health and Human Services' Ending the HIV Epidemic Initiative. METHODS: From December 2022 to September 2023, three CHWs were trained and integrated into the hospital workflow to provide support as members of the clinical team. Ten Black adults with an HIV viral load over 200 copies/mL were enrolled to received 3 months of CHW support focused on navigating the health system and addressing poor social determinants of health. Intervention feasibility was based on 4 criteria: recruitment rate, demographic composition, study fidelity, and qualitative feedback on CHW perceptions. RESULTS: Participants were recruited at a rate of 5.7 participants per month, with the sample evenly distributed between men and women. Retention was moderately strong, with 7 (70%) of the 10 participants attending more than 75% of CHW sessions. Qualitative feedback reflected CHW perceptions on clinical interactions and intervention length. CONCLUSIONS: Outcomes indicate that a clinic-integrated CHW approach is a feasible and acceptable methodology to address adverse social determinants and improve HIV treatment adherence. By offering targeted social and clinical support, CHWs may be a promising solution to achieve sustained viral suppression and care engagement for Black people living with HIV.

The relationships between unmet social needs, oral health measures, and dental service utilization in a pediatric population.

OBJECTIVES: Social Determinants of Health (SDoH) have been linked to health, including oral health and oral health behaviors. Objectives of this retrospective records review were to evaluate the relationships between self-reported unmet social needs and (1) oral health measures and (2) dental service utilization in a pediatric population at a hospital-based dental clinic. METHODS: Children 2-5 years of age whose families had completed a SDoH survey and who had an encounter with one United States (U.S.) urban children's hospital dental clinic within 6 months (± 3 months) of the survey date were included. A chart review was performed, and information was collected about the child's (1) oral health (e.g., plaque level, presence of caries) and (2) dental service utilization (e.g., no-show rates, number of dental surgeries). The data of patients with one or more parental/caretaker-reported unmet social needs were compared with that of patients with no unmet social needs. RESULTS: Inclusion criteria were met by 2646 children. Those with unmet social needs had significantly higher no-show rates at scheduled appointments than those without unmet social needs (p-value <0.001). Patients who identified as African/Black were more likely to report unmet social needs. There was no statistically significant difference in oral health measures of patients with or without unmet social needs. CONCLUSIONS: Children in this population demonstrated varying associations between unmet social needs, health measures, and health behaviors, suggesting a likely complicated association between unmet social needs and health.

Social determinants of health and youth chronic pain.

OBJECTIVES: To identify the relationships between social determinants of health (SDOH) and chronic pain among U.S. youth (referring to children and adolescents). METHODS: Data including a national sample of U.S. youth were retrieved from the 2022 National Survey of Children's Health. Twenty indicators within five SDOH-related domains (e.i., economic stability, social and community context, neighborhood and built environment, health care access and quality, and education access and quality) were included. The presence of chronic pain was assessed using a self-reported question, answered by the main caregiver. Associations of SDOH-related indicators and youth chronic pain were estimated using multi-variable logistic regression models, while adjusting for covariates (e.g., age, sex, ethnicity, weight status, and movement behaviors). RESULTS: Data from 30,287 U S. youth aged 6-17 years (median [SD] age, 11.59 [3.30] years; 14,582 girls [48.97 %]) were collected. In 7.5 % of the final sample size, caregivers reported that they had chronic pain. Youth grow up in conditions with diverse SDOH profiles, including food insufficiency (OR = 1.46, 95 % CI: 1.01 to 2.10) and parental unemployment (OR = 1.56, 95 % CI: 1.15 to 2.12); low school engagement (OR = 1.48, 95 % CI: 1.14 to 1.92) and low school safety (OR = 1.65, 95 % CI: 1.14 to 2.39); limited access to quality health care (OR = 2.56, 95 % CI: 2.12 to 3.09), a high frequency of hospital visits (OR = 4.76, 95 % CI: 1.82 to 12.44), and alternative health care (OR = 2.57, 95 % CI: 2.07 to 3.20); bullying victimization (OR = 1.37, 95 % CI: 1.11 to 1.68) and community-based adverse childhood experiences (OR = 1.64, 95 % CI: 1.32 to 2.05); and disadvantageous amenity characteristics (OR = 1.38, 95 % CI: 1.05 to 1.79); resulted in higher odds of presenting chronic pain. CONCLUSIONS: Different indicators included in the SDOH domains were associated with a higher probability of presenting chronic pain in U.S youth. These findings have implied relationships between the SDOH and chronic pain in youth, requiring a comprehensive approach to addressing health equity to prevent and reduce the presence of youth chronic pain.

A Shift in Approach to Addressing Public Health Inequities and the Effect of Societal Structural and Systemic Drivers on Social Determinants of Health.

Social determinants of health (SDOH) are the conditions in which people are born, grow, live, work, and age that influence health outcomes, and structural and systemic drivers of health (SSD) are the social, cultural, political, and economic contexts that create and shape SDOH. With the integration of constructs from previous examples, we propose an SSD model that broadens the contextual effect of these driving forces or factors rooted in the Centers for Disease Control and Prevention's SDOH framework. Our SSD model (1) presents systems and structures as multidimensional, (2) considers 10 dimensions as discrete and intersectional, and (3) acknowledges health-related effects over time at different life stages and across generations. We also present an application of this SSD model to the housing domain and describe how SSD affect SDOH through multiple mechanisms that may lead to unequal resources, opportunities, and consequences contributing to a disproportionate burden of disease, illness, and death in the US population. Our enhanced SDOH framework offers an innovative and promising model for multidimensional, collaborative public health approaches toward achieving health equity and eliminating health disparities.

Application of a digital quality measure for cancer diagnosis in Epic Cosmos.

OBJECTIVES: Missed and delayed cancer diagnoses are common, harmful, and often preventable. We previously validated a digital quality measure (dQM) of emergency presentation (EP) of lung cancer in 2 US health systems. This study aimed to apply the dQM to a new national electronic health record (EHR) database and examine demographic associations. MATERIALS AND METHODS: We applied the dQM (emergency encounter followed by new lung cancer diagnosis within 30 days) to Epic Cosmos, a deidentified database covering 184 million US patients. We examined dQM associations with sociodemographic factors. RESULTS: The overall EP rate was 19.6%. EP rate was higher in Black vs White patients (24% vs 19%, P < .001) and patients with younger age, higher social vulnerability, lower-income ZIP code, and self-reported transport difficulties. DISCUSSION: We successfully applied a dQM based on cancer EP to the largest US EHR database. CONCLUSION: This dQM could be a marker for sociodemographic vulnerabilities in cancer diagnosis.

Patterns of healthcare utilization according to health equity determinants during the first year of the pandemic at Johns Hopkins Medicine.

Objectives: Rapid telehealth adoption happened at the onset of the coronavirus disease 2019 (COVID-19) pandemic, resulting in a move from in-person predominant to telehealth predominant care delivery. Later, in person visits rebounded with telehealth options remaining. This study aimed to assess differences in healthcare utilization during this changing landscape in terms of health equity determinants. Materials and Methods: This was an observational cohort study of Johns Hopkins Medicine (JHM) patients. We analyzed utilization of video, telephone, and in-person patient-provider visits by eligible patients between March 16, 2019 and December 31, 2020. Percent changes in average weekly patient-provider visits from pre-pandemic (March 16, 2019-June 30, 2019) to early 2020 pandemic (March 16, 2020-June 30, 2020) and from pre-pandemic (July 1, 2019-December 31, 2019) to late 2020 pandemic (July 1, 2020-December 31, 2020). We used a quantile cut off technique to describe disproportionately smaller or greater drops in visits during the first year of the pandemic among health equity determinant groups and according to visit specialty, when compared to the total population. Results: There was a 39% drop in patient-provider visits from the pre-pandemic to the early 2020 pandemic period, and a 24% drop from pre-pandemic to the late 2020 pandemic period. We discovered 21 groups according to health equity determinates and visit departments with patterns of disproportionately smaller or greater drops in visits during the first year of the pandemic, when compared to the total population: Pattern 1 -smaller drop in visits early and late 2020 (age 45-64, Medicare insurance, high poverty and high unemployment; mental health and medical specialty visits -P < .001); Pattern 2 -greater drop in visits early 2020 only (age 65-84; OB/GYN and surgical specialty visits-P < .001); Pattern 3 -greater drop in visits early and late 2020 (age 0-5, age 6-17, age 85+, Asian race, Hispanic or Latino ethnicity, private insurance-P < .001); and Pattern 4-smaller drop in visits in early 2020 when compared to late 2020. The age 18-44 group showed a smaller drop in visits early 2020 and then visit levels similar to the total population late 2020. Primary care visits were similar to the total population early 2020 and then a smaller drop in visits late 2020 (P < .001). Discussion: Our study provides evidence of health equity determinant groups having disproportionally smaller or greater drops in visits during the first year of the pandemic. The observed differences may have been influenced by changing telehealth offerings during the first year of the pandemic. Groups with disproportionately smaller drops in visits early 2020 (Pattern #1 and age 18-44 group in Pattern #4), suggests more success with adopting telehealth among those groups. Whereas groups with disproportionately greater drops in visits early 2020 (Pattern #2 and Pattern #3), suggests less success with telehealth adoption. For Pattern #4, more clarification is needed on how changes in telehealth offerings contributed to the downward trend in visits observed from early to late 2020. Conclusion: We describe 4 main patterns to characterize groups with disproportionately smaller or greater drops in visits during the first year of the pandemic. While this work did not specifically study vulnerable populations, these patterns set the stage for further studies of such groups.

Experiences of patients with hard-to-heal wounds: insights from a pilot survey.

OBJECTIVE: To learn about the experiences of people who seek treatment for hard-to-heal wounds, we distributed a nationwide pilot survey, asking questions about the nature of their wound, how it shaped their daily lives, pathways to receiving care and experiences with treatment. The long-term objective is to quantify the journey of patients with hard-to-heal wounds to identify ideal intervention points that will lead to the best outcomes. This article summarises the findings, implications, limitations and suggestions for future research. METHOD: Qualitative data were self-reported from patients with hard-to-heal wounds (open for ≥4 weeks) in a pilot chatbot survey, (Wound Expert Survey (WES)) provided online in the US on Meta platforms (Facebook and Instagram) between 2021 and 2022. RESULTS: The US national pilot survey attracted responses from 780 patients, 27 of whom provided a video testimonial. Some 57% of patients delayed treatment because they believed their wound would heal on its own, and only 4% saw a wound care specialist. Respondents reported the cost of care as the most frequent reason for not following all of a doctor's treatment recommendations. Queries regarding quality of life (QoL) revealed that more than half (65%) said they have negative thoughts associated with their wound at least every few days. Some 19% of respondents said their wound had an odour and, of them, 34% said odour had a major or severe negative impact on their self-confidence. Economically, nearly one-quarter of respondents said having a wound led to a drop in their total household income and 17% said their wound led to a change in their employment status. CONCLUSION: A national pilot survey of patients with hard-to-heal wounds revealed that many delay seeking professional assistance and only a small minority see a wound care specialist. Experiencing an ulcer, even for a few months, can have significant negative effects on a patient's QoL. Patients frequently had negative thoughts associated with their wound, and odour compounded these negative effects, leading to major or severe negative impacts on self-confidence. Households experienced a decline in income, due to both the direct reduction or loss of patient employment and the additional time spent by family members assisting in patient recovery. Thus, a variety of factors contribute to poor outcomes for patients with hard-to-heal wounds. To validate and extend these preliminary results, future surveys of patients with hard-to-heal wounds should focus on additional reasons patients do not seek professional help sooner. To improve health outcomes and QoL, assessment of patient socioeconomic variables should occur whenever wound closure stalls.

Is naloxone where it needs to be? Using spatial analytics to examine equitable distribution of community-based naloxone sites.

BACKGROUND: One of the most effective harm reduction services for preventing opioid overdose deaths is naloxone. Given the ongoing opioid crisis, which has led to a surge in overdose deaths across the country, expanding access to naloxone is critical. Community-based naloxone distributions sites in Palm Beach County can increase access to naloxone. However, several rural and disadvantaged regions rarely have any type of access to naloxone. The purpose of this descriptive paper is to examine the spatial distribution of and evaluate equitable accessibility to community-based naloxone sites in Palm Beach County. METHODS: We examined health equity in the distribution of community-based naloxone sites using a mixed-methods approach with ArcGIS Pro version 3.0, which is a geographic information system (GIS) software used for mapping, spatial analysis, and data visualization. RESULTS: The Belle Glade region was identified as the location most adversely affected with health inequities and limited accessibility to naloxone distribution sites, as it ranked in the 100 % percentile for all social vulnerability index (SVI) themes. The 30-minute drive-time area calculated a county service area of 1885.3 km2 (km2), which covers about 34 % of the 478.0 km2 land area of census tracts. Drive-time areas did not account for periods of heavier traffic such as during rush hour. Maximum distances during heavier traffic may be smaller, thus decreasing accessibility to naloxone distribution sites. CONCLUSION: There is a need for effective policy-led strategies tailored to expanding our understanding of the challenges that are experienced by the individuals in need of naloxone and encountered by the distribution sites themselves, as accessible naloxone is crucial for preventing nonfatal and fatal overdoses and ensuring timely emergency responses in vulnerable communities.