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.

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.

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.

Quantifying the magnitude of the general contextual effect in a multilevel study of SARS-CoV-2 infection in Ontario, Canada: application of the median rate ratio in population health research.

BACKGROUND: Regional variations in SARS-CoV-2 infection were observed in Canada and other countries. Studies have used multilevel analyses to examine how a context, such as a neighbourhood, can affect the SARS-CoV-2 infection rates of the people within it. However, few multilevel studies have quantified the magnitude of the general contextual effect (GCE) in SARS-CoV-2 infection rates and assessed how it may be associated with individual- and area-level characteristics. To address this gap, we will illustrate the application of the median rate ratio (MRR) in a multilevel Poisson analysis for quantifying the GCE in SARS-CoV-2 infection rates in Ontario, Canada. METHODS: We conducted a population-based, two-level multilevel observational study where individuals were nested into regions (i.e., forward sortation areas [FSAs]). The study population included community-dwelling adults in Ontario, Canada, between March 1, 2020, and May 1, 2021. The model included seven individual-level variables (age, sex, asthma, diabetes, hypertension, congestive heart failure, and chronic obstructive pulmonary disease) and four FSA census-based variables (household size, household income, employment, and driving to work). The MRR is a median value of the rate ratios comparing two patients with identical characteristics randomly selected from two different regions ordered by rate. We examined the attenuation of the MRR after including individual-level and FSA census-based variables to assess their role in explaining the variation in rates between regions. RESULTS: Of the 11 789 128 Ontario adult community-dwelling residents, 343 787 had at least one SARS-CoV-2 infection during the study period. After adjusting for individual-level and FSA census-based variables, the MRR was attenuated to 1.67 (39% reduction from unadjusted MRR). The strongest FSA census-based associations were household size (RR = 1.88, 95% CI: 1.71-1.97) and driving to work (RR = 0.68, 95% CI: 0.65-0.71). CONCLUSIONS: The individual- and area-level characteristics in our study accounted for approximately 40% of the between-region variation in SARS-CoV-2 infection rates measured by MRR in Ontario, Canada. These findings suggest that population-based policies to address social determinants of health that attenuate the MRR may reduce the observed between-region heterogeneity in SARS-CoV-2 infection rates.

Subsidized Versus Unsubsidized Senior Housing Communities in PA: A Window on Variation in Health, Function, and Access to Services in Old Age.

Introduction: Independent Living residences for older adults can be divided into two categories and require better definitions for research purposes; the purpose of this manuscript is to provide those definitions and explore variation in provided services and resident characteristics: (a) Subsidized age-based housing (55+) (Department of Housing and Urban Development (HUD) housing units for low-income adults), and (b) non-subsidized age-based housing. Methods: Residents in the two settings were compared: 37 subsidized locations (p = 289 residents) and 19 non-subsidized (p = 208). Aging support services in each housing type were quantified. Results: Subsidized residents are more likely to be female (84.6% vs. 70.2%, p = .0002) and have fair-poor health (36.5% vs. 12.5%, p < .0001), frequent pain (28.4% vs. 12.8%, p < .0001), and fair-poor mobility (37.5% vs. 23.5%, p = .0298). Non-subsidized locations are more likely to offer support services; on average, residents are older (mean age 83vs. 75; p < .0001) and white (97.6% vs. 69.2%, p < .0001). Conclusion: Significant differences exist between populations living in subsidized and non-subsidized housing, suggesting the effect of cumulative disadvantage over the lifespan; populations in poorer health have access to fewer services. Research is needed to explore generalizability on a national level.

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.

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.

Can technology be good for health? Investigating health-promoting strategies in the private sector.

Introduction: This research investigates what might motivate tech companies and impact-driven investors to adopt a health-promoting strategy in their product development and capital allocation strategies. Methods: Participants were recruited for semi-structured interviews through purposive and snowball sampling. From 83 outreach attempts, thematic saturation required 19 completed interviews out of the 46 consumer technology executives and impact-focused investors who responded. Interviews were analyzed using grounded theory-based content analysis. Results: Seven coding categories resulted from inductive coding, with 83 sub-codes. The primary themes were: product-based health impact is magnified when matched to user demographics (making an equity mindset important); stakeholders are eager for reliable health metrics, especially those that hold across industry verticals; when capturing health impact, it is critical to include positive (i.e., economically beneficial) externalities. These results allowed for the creation of a logic model with a recommended theory of change for the private sector to develop health strategy. Discussion: Intentional integration of impact strategy with business priorities will allow teams to design products that promote health, driving buy-in and resource allocation while attracting investment and double returns. For policymakers, it is clear that tech policy and regulation for corporate reporting need to keep pace. These findings are limited by the purposive recruitment of participants, introducing potential bias and risk to generalizability.

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.

Health Disparities Across the Spectrum of Amputation Care: A Review of Literature.

Limb loss is a common and disabling experience for patients, frequently caused by critical limb ischemia or deterioration of chronic wounds. Disparities in outcomes for prevention of amputation, level of amputation, and postamputation outcomes have been described. Understanding the nature of these disparities and the populations most affected can help clinicians and policymakers target interventions and programs. This article reviews existing literature regarding disparities in amputation care, including prevention methods, surgical outcomes, and postamputation outcomes. The authors identified several potential racial, socioeconomic, and gender disparities, particularly affecting Black, Native American, and Latino/a/x patients, female gender, and those in rural settings.