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.

The Child Opportunity Index and Outcomes After Pediatric Anterior Cruciate Ligament Reconstruction.

Background: Research at the intersection between social determinants of health (SDOH) and orthopaedics remains an area of active exploration, with recent literature demonstrating significant disparities in a wide array of orthopaedic outcomes in patients with different SDOH. Purpose/Hypothesis: The purpose of this study was to use a validated composite measure of SDOH mapped to census tracts (Child Opportunity Index [COI]) to explore disparities in functional outcomes after anterior cruciate ligament (ACL) reconstruction. It was hypothesized that patients with a lower COI score would have delayed surgical care and worse functional outcomes after ACL reconstruction. Study Design: Cohort study; Level of evidence, 3. Methods: Demographic, surgical, and functional outcomes data were extracted for all patients aged ≤18 years who underwent primary ACL reconstruction at our institution between 2009 and 2019. Strength deficits were calculated, and COI quintile scores were obtained. One-way analysis of variance, the chi-square test, and the Fisher exact test were used to compare variables of interest between the lower 2 quintiles (low group) and the upper 2 quintiles (high group). Results: Of the 1027 patients, 226 (22.0%) were in the low group, while 801 (78.0%) were in the high group. There was a significantly greater time from injury to surgery in the low group than in the high group (98.15 ± 102.65 vs 71.79 ± 101.88 days, respectively; P < .001). The low group had a significantly lower extension-flexion range of motion at 1- and 3-month follow-up (P = .03 and P = .02, respectively) but no difference at 6-month follow-up (P = .27). The low group attended fewer physical therapy visits than the high group (24.82 ± 10.55 vs 37.81 ± 18.07, respectively; P < .001). The low group had significant deficits in quadriceps strength at 3, 6, and 9 months at 180 deg/s (P = .03, P < .001, and P = .01, respectively) and at 6 months at 300 deg/s (P = .002). Conclusion: In this study, we found that the COI was associated with disparities in key clinical outcomes including time to surgery, postoperative range of motion, and postoperative strength.

National and Geographic Trends in Medicare Reimbursement for Pain Management 2014-2023.

BACKGROUND: Increasing enrollment in Medicare has coincided with reductions in reimbursement for various procedures, including interventional pain procedures. No previous analysis of state-to-state differences in Medicare reimbursement rates for practicing pain management physicians has been performed. OBJECTIVE: To quantify recent national and geographical trends for interventional pain procedures. STUDY DESIGN: This study used datasets from the Centers for Medicare and Medicaid Services to identify the top 10 highest-grossing Current Procedure Terminology (CPT) codes for pain procedures and for evaluation and management (E/M) from 2014 to 2023. Data analysis took place during May 2023. METHODS: Primary outcomes were calculated inflation-adjusted rates of yearly percent change (YPC) for each CPT code, state, territory, and U.S. Census region. An independent samples t-test compared the national YPC rates of procedure to those of E/M reimbursement. Medicare reimbursements throughout the United States for interventional pain procedures and clinic evaluations were measured from 2014-2023. RESULTS: From 2014 to 2023, inflation-adjusted Medicare reimbursement for interventional pain procedures decreased yearly by an average of 3.63%. In comparison, clinic evaluation reimbursement decreased by only 0.87% yearly and was significantly different from procedure reimbursement (P < 0.001). Pain management procedure reimbursement decreased the most in Illinois (-4.26%), Wyoming (-3.88%), Wisconsin (-3.87%), Nevada (-3.83%) and Kansas (-3.82%). Meanwhile, rates for Puerto Rico (-1.94%), Massachusetts (-3.24%), Washington (-3.31%), New York (-3.39%), and West Virginia (-3.47%) decreased the least. When states were grouped into U.S. Census regions, no significant regional differences in pain management procedure reimbursement changes could be observed. LIMITATIONS: Only the facility prices of the top 10 highest-grossing procedure and E/M CPT codes that had available data for 2014 to 2023 could be included in our analysis; trends for private insurance reimbursement could not be analyzed. CONCLUSIONS: Medicare reimbursement rates for interventional pain procedures have decreased from 2014 to 2023, both nationally and in each region of the U.S. Our analysis suggests that certain states and territories have experienced less favorable reimbursement trends than others. This issue is worthy of attention as larger proportions of the U.S. population become eligible for Medicare coverage; should these trends continue, interventional pain physicians may consider moving their practices to areas that are less affected. Major efforts are required to preserve the quality of care that Medicare beneficiaries receive and to remedy the problem of depreciating reimbursement.

Bridging the Telehealth Digital Divide With Collegiate Navigators: Mixed Methods Evaluation Study of a Service-Learning Health Disparities Course.

BACKGROUND: Limited digital literacy is a barrier for vulnerable patients accessing health care. OBJECTIVE: The Stanford Technology Access Resource Team (START), a service-learning course created to bridge the telehealth digital divide, trained undergraduate and graduate students to provide hands-on patient support to improve access to electronic medical records (EMRs) and video visits while learning about social determinants of health. METHODS: START students reached out to 1185 patients (n=711, 60% from primary care clinics of a large academic medical center and n=474, 40% from a federally qualified health center). Registries consisted of patients without an EMR account (at primary care clinics) or patients with a scheduled telehealth visit (at a federally qualified health center). Patient outcomes were evaluated by successful EMR enrollments and video visit setups. Student outcomes were assessed by reflections coded for thematic content. RESULTS: Over 6 academic quarters, 57 students reached out to 1185 registry patients. Of the 229 patients contacted, 141 desired technical support. START students successfully established EMR accounts and set up video visits for 78.7% (111/141) of patients. After program completion, we reached out to 13.5% (19/141) of patients to collect perspectives on program utility. The majority (18/19, 94.7%) reported that START students were helpful, and 73.7% (14/19) reported that they had successfully connected with their health care provider in a digital visit. Inability to establish access included a lack of Wi-Fi or device access, the absence of an interpreter, and a disability that precluded the use of video visits. Qualitative analysis of student reflections showed an impact on future career goals and improved awareness of health disparities of technology access. CONCLUSIONS: Of the patients who desired telehealth access, START improved access for 78.7% (111/141) of patients. Students found that START broadened their understanding of health disparities and social determinants of health and influenced their future career goals.

Social mechanisms behind the poor health of marginalized Roma: Novel insights and implications from four ethnographic studies in Slovakia.

Roma represent one of the largest ethnic groups facing marginalization worldwide. However, significant knowledge gaps persist regarding: A) the social mechanisms supporting health-endangering practices among Roma; B) the social mechanisms adversely affecting their use of health services; and C) the social determinants underlying both above pathways. To fill these gaps, we conducted a series of four explorative ethnographic studies spanning over ten years. Beginning in 2004, the series involved 260 participants, including segregated Roma and health services staff in Slovakia. Of the four studies, two addressed gap A, two addressed gap B, and all addressed gap C. Regarding pathway A, we found that Roma in segregated Roma enclaves can be socialized into ethnically framed racialized ideologies that oppose the cultural standards of local non-Roma life, including certain healthy practices. This adherence to counter-cultural ideals of Roma identity increases specific health and care challenges. Regarding pathway B, we discovered that health service frontliners frequently lack any organizational support to better understand and accommodate the current living conditions and practices of segregated Roma, as well as their own and others' racism and professional expectations regarding equity. This lack of support leads many frontliners to become cynical about segregated Roma over their careers, resulting in health services being less effective and exacerbating health problems for both Roma and the frontliners themselves. Concerning pathway C, we found that the societal omnipresence of antigypsyism - racist and racialized anti-Roma ideas and sentiments - serves as a prominent driver of both the above pathways. We conclude that much of the unfavorable health status of Roma can be understood via a systems perspective that embraces structural racism.

Reduction of Pediatric Gastrostomy Tube Healthcare Utilization and Socioeconomic Disparities: Longitudinal Benefits of Quality Improvement.

BACKGROUND: Disparities in emergency department (ED) utilization after gastrostomy (G-) tube placement were previously demonstrated at our children's hospital. We aimed to reduce postoperative G-tube dislodgements and ED visits with a particular focus on socially vulnerable children. METHODS: Our improvement team implemented a G-tube care bundle (6/2018-9/2019) targeting caregiver preparedness and standardizing care in the pre-, intra-, and post-operative periods. Patients who had G tubes placed between 1/2011-8/2022 were categorized to either pre- or post-intervention groups. Primary outcomes were tracked prospectively. National area deprivation index (ADI) was assigned retrospectively and employed to evaluate social risk. Univariate comparisons were made between pre- and post-intervention groups, and between High ADI (≥80) and Low ADI (<80) subgroups in both pre- and post- intervention periods. We used statistical process control methods to further analyze change over time. RESULTS: 396 children were included (188 pre-intervention, 208 post-intervention). The post-intervention cohort demonstrated a lower rate of outpatient dislodgement at 90 days following G-tube placement (21.3 % vs 10.1 %, p = 0.002) and fewer G-tube-related ED visits per G-tube placed within one year of placement (mean 0.8 visits vs 0.6 visits, p = 0.012). Pre-intervention, children from high ADI neighborhoods had significantly greater healthcare utilization compared to those from lower ADI neighborhoods. Post-intervention, previously statistically significant disparities were no longer present. Outpatient G-tube dislodgements within 90 days were particularly mitigated. CONCLUSIONS: A longstanding quality improvement initiative has led to sustained reductions in overall G-tube-related health care utilization. Care standardization and improvement may mitigate outcome disparities related to socioeconomic advantage. TYPE OF STUDY: Retrospective Comparative Study and Prospective Quality Improvement. LEVEL OF EVIDENCE: Level III.

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.

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.

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.

Digital health literacy: A concept analysis.

Objective: To elucidate the concept of digital health literacy by delineating its primary dimensions, origins and effects. Through this clarification, we seek to augment our understanding of the contemporary use of the concept of digital health literacy. Methods: Rodgers's concept analysis was employed to investigate digital health literacy as a context-influenced concept evolving with technological progress. Six databases (PubMed, Embase, CINAHL, RISS, KISS and DBpia) and Google Scholar were searched from 2006 to 2023, focusing on the terms 'digital health literacy', 'eHealth literacy' and 'mHealth literacy'. Of 2,819 papers, 32 were included in the analysis to identify the conceptual structure of digital health literacy. Results: The conceptual structure of digital health literacy was identified, and its evolution was traced. Currently, the four critical attributes are (a) goal-driven regulation, (b) information processing, (c) communication and (d) utilisation. Functional literacy, prior health knowledge and experience, and access to technology are antecedents, while positive health outcomes, increased perceived control and enhanced health-related quality of life emerged as consequences. Additionally, the concept was influenced by multilevel contextual factors. Conclusions: By enhancing our understanding of digital health literacy; standardising its terminology; and exploring the interactions among its antecedents, consequences and influencing factors, this study aims to reduce health disparities and promote equitable health in the digital era. The results of this foundational work, which establishes a basis for future research and policy development, provide clear pathways for developing targeted interventions and measurement tools of digital health literacy, ultimately contributing to better health practices.

Evaluating associations between social risks and health care utilization in patients with chronic low back pain.

Introduction: Care and outcomes for patients with chronic low back pain (cLBP) are influenced by the social risk factors that they experience. Social risk factors such as food insecurity and housing instability have detrimental effects on patient health and wellness, healthcare outcomes, and health disparities. Objectives: This retrospective cross-sectional study examined how social risk factors identified in unstructured and structured electronic health record (EHR) data for 1,295 patients with cLBP were associated with health care utilization. We also studied the impact of social risk factors, controlling for back pain-related disability on health care utilization. Methods: Included patients who received outpatient spine and/or physical therapy services at an urban academic medical center between 2018 and 2020. Five identified social risks were financial insecurity, housing instability, food insecurity, transportation barriers, and social isolation. Outcomes included 4 categories of health care utilization: emergency department (ED) visits/hospitalizations, imaging, outpatient specialty visits related to spine care, and physical therapy (PT) visits. Poisson regression models tested associations between the presence of identified social risks and each outcome measure. Results: Identified social risks in 12.8% of the study population (N = 166/1,295). In multivariate models, social isolation was positively associated with imaging, specialty visits, and PT visits; housing instability was positively associated with ED visits/hospitalizations and imaging; food insecurity was positively associated with ED visits/hospitalizations and specialty visits but negatively associated with PT visits; and financial strain was positively associated with PT visits but negatively associated with ED visits/hospitalization. Conclusion: These associations were seen above and beyond other factors used as markers of socioeconomic marginalization, including neighborhood-level social determinants of health, race/ethnicity, and insurance type. Identifying and intervening on social risk factors that patients with cLBP experience may improve outcomes and be cost-saving.

COVID-19 Deaths and Minority Health Social Vulnerability, in the U.S., January 1, 2020 through June 24, 2023.

BACKGROUND: Health disparities, leading to worse health outcomes such as elevated COVID-19 mortality rates, are rooted in social and structural factors. These disparities notably impact individuals from lower socioeconomic backgrounds and more socially vulnerable areas. We analyzed the relationship between COVID-19 deaths and social vulnerability using the Minority Health Social Vulnerability Index (MHSVI). METHODS: COVID-19 death data in the U.S. was obtained from the Centers for Disease Control and Prevention (CDC) National Center for Health Statistics, where COVID-19 deaths were defined using the ICD-10 code U07.1. MHSVI composite scores were calculated for 3089 U.S. counties and categorized into social vulnerability quartiles, where values ranged from 0 (lowest vulnerability) to 1 (highest vulnerability). Negative binomial regression was employed to determine death rate ratios for each quartile within each theme. Finally, a multivariate negative binomial regression including all MHSVI sub-themes, excluding the overall index ranking, was used to assess the association between each theme and COVID-19 death rates independently. RESULTS: There were 1,134,272 COVID-19 deaths from January 1, 2020 through June 24, 2023. Adjusted rate ratios for COVID-19 deaths in the overall index ranking were 1.06 (95% CI 0.99-1.13), 1.14 (95% CI 1.06-1.22), and 1.41 (95% CI 1.31-1.52) for the second, third and fourth quartiles, respectively. Sub-themes of socioeconomic status (SES), household characteristics (HC), racial and ethnic minority status (REMS), housing type and transportation (HTT), and medical vulnerability (MV) revealed increasing death rates in higher vulnerability quartiles. The healthcare infrastructure and access (HIA) theme had decreasing death rate ratios of 0.74 (95% CI 0.71-0.78), 0.59 (95% CI 0.56-0.62), and 0.42 (95% CI 0.39-0.44) for the second, third, and fourth quartiles, respectively. Finally, the multivariate analysis showed that the HC, HTT, HIA, and MV themes were associated with COVID-19 deaths (P < 0.05). CONCLUSION: Counties that were identified as more socially vulnerable experienced higher death rates from COVID-19. These areas may need additional public health and social support during future pandemics.

Perceptions of the Use of Mobile Technologies for Smoking Cessation: Focus Group Study With Individuals of Low Socioeconomic Status Who Smoke.

BACKGROUND: The use of mobile technologies to deliver behavioral health interventions, including smoking cessation support, has grown. Users' perceptions are important determinants of the adoption and use of new technologies. However, little is known about users' perceptions of mobile technologies as smoking cessation aids, particularly among disadvantaged individuals who smoke. OBJECTIVE: This study aimed to examine the acceptance of mobile technologies for smoking cessation among young adults with low socioeconomic status who smoke. METHODS: In total, 38 current cigarette smokers, 18 to 29 years old, who wanted to quit and did not have a 4-year college degree nor were enrolled in a 4-year college, participated in 12 semistructured digital focus groups. The moderation guide was guided by the Unified Theory of Acceptance and Use of Technology. Discussions were audio recorded, transcribed verbatim, and coded for the Unified Theory of Acceptance and Use of Technology constructs (ie, effort expectancy, facilitating conditions, performance expectancy, and social influence), sentiment (ie, negative, neutral, and positive), and purpose of using mobile technologies (ie, lifestyle and health management and smoking cessation) following a deductive thematic analysis approach. RESULTS: Participants had positive experiences using mobile technologies for lifestyle and health management, primarily for fitness and dietary purposes. Salient themes were facilitating conditions of use (44/80, 55%), with prior experiences and costs subthemes, followed by perceived usefulness of mobile technologies in helping users attain health goals (22/80, 27.50%), which were generally positive. Ease of use (11/80, 13.75%) and social influences (3/80, 3.75%) were minimally discussed. Conversely, participants had limited awareness of smoking cessation uses of mobile technologies, which was the primary barrier under facilitating conditions discussed (33/51, 64.70%). Participants expressed skepticism about the usefulness of mobile technologies in helping them quit smoking (14/51, 27.45%). Effort expectancy was not discussed, given participants' limited prior use. Social influences on mobile technology use for smoking cessation were minimally discussed (4/51, 7.84%). CONCLUSIONS: The use of mobile technologies for smoking cessation was unknown to young adults with low socioeconomic status who smoke. To reduce cigarette smoking and associated health disparities, increasing awareness and use of evidence-based mobile-based smoking cessation interventions are needed. Smoking cessation interventions should incorporate features perceived as useful and easy to use to capitalize on positive user experiences and the acceptability of mobile technologies for lifestyle and health management.