Background: After-hours telemedicine services for emergency care are thought to offer a solution for patients who live at a distance from traditional face-to-face emergency services. This study evaluates such a service in a Health Maintenance Organization, focusing on the differences between central and peripheral populations. Methods: In this cross-sectional database study, we collected data regarding the encounter and patient characteristics, including prescriptions, referrals for further evaluation in a traditional emergency department (ED), and the distance from a traditional ED. Other outcome measures included health care utilization after the encounter such as primary care physician (PCP) encounters, additional telemedicine encounters, ED visits, and hospitalization. Results: In total, 45,411 patient visits were analyzed. Medication was prescribed in 25% of the encounters, and a referral to an ED was given in 22%. In total, 17.7% of the patients visited an ED within 24 h of the index encounter. In total, 64.8% of patients visited a PCP in the following 30 days. No further care was needed in 32.4% of the encounters. In multivariable logistic regression, the odds of using the service were lower for low socio-economic status groups and inhabitants of the periphery than the central areas. A weak reverse correlation was observed in Jewish sectors regarding distance from traditional ED, whereas no correlation was found in the Arab sector. Conclusion: It is commonly believed that telemedicine overcomes geographical barriers. The results of this research do not support this hypothesis.

OBJECTIVE: The purpose of this study was to determine if adverse social determinants of health (SDOH) are associated with differential complication rates following surgical fixation of distal radius fractures and assess which SDOH domain (economic, educational, social, health care, or environmental) is most associated with postoperative complications.
METHODS: Using a national administrative claims database, we conducted a retrospective cohort analysis of patients undergoing open treatment for an isolated distal radius fracture between 2010 and 2020. Patients were stratified based on the presence/absence of at least one SDOH code and propensity score matched to create two cohorts balanced by age, sex (male or female), insurance type, and comorbidities. Social determinants of health examined included economic, educational, social, health care, and environmental factors. Multivariable logistic regression analyses were performed to assess the isolated effect of SDOH on 90-day and 1-year complication rates.
RESULTS: After propensity matching, 57,025 patients in the adverse SDOH cohort and 57,025 patients in the control cohort were included. Patients facing an adverse SDOH were significantly more likely to experience 90-day complications, including emergency department visits (Odds ratio (OR): 3.18 [95% confidence interval (CI): 3.07-3.29]), infection (OR: 2.37 [95% CI: 2.12-2.66]), wound dehiscence (OR: 2.06 [95% CI: 1.72-2.49]), and 1-year complications, including complex regional pain syndrome (OR: 1.35 [95% CI: 1.15-1.58]), malunion/nonunion (OR: 1.18 [95% CI: 1.08-1.29]), and hardware removal (OR: 1.13 [95% CI: 1.07-1.20]). Additionally, patients facing an adverse SDOH had a significantly increased risk of 90-day complications, regardless of fracture severity, and patients with economic and social challenges had the highest odds of both 90-day and 1-year postoperative complications.
CONCLUSIONS: Social determinants of health are associated with increased complications following distal radius fracture fixation, even when controlling for demographic and clinical factors. We recommend routine screening for adverse SDOH and inclusion of SDOH data into health records to not only inform quality improvement initiatives and risk adjustment for outcome-based quality measurements but also to allow providers to begin to discuss and address such barriers during the perioperative period.
METHODS: Prognosis II.

Digital health disparities continue to affect marginalized populations, especially older adults, individuals with low-income, and racial/ethnic minorities, intensifying the challenges these populations face in accessing healthcare. Bridging this digital divide is essential, as digital access and literacy are social determinants of health that can impact digital health use and access to care. This article discusses the potential of leveraging community Wi-Fi and spaces to improve digital access and digital health use, as well as the challenges and opportunities associated with this strategy. The existing limited evidence has shown the possibility of using community Wi-Fi and spaces, such as public libraries, to facilitate telehealth services. However, privacy and security issues from using public Wi-Fi and spaces remain a concern for librarians and healthcare professionals. To advance digital equity, efforts from multilevel stakeholders to improve users\' digital access and literacy and offer tailored technology support in the community are required. Ultimately, leveraging community Wi-Fi and spaces offers a promising avenue to expand digital health accessibility and use, highlighting the critical role of collaborative efforts in overcoming digital health disparities.

BACKGROUND: Emerging artificial intelligence (AI) applications have the potential to improve health, but they may also perpetuate or exacerbate inequities.
OBJECTIVE: This review aims to provide a comprehensive overview of the health equity issues related to the use of AI applications and identify strategies proposed to address them.
METHODS: We searched PubMed, Web of Science, the IEEE (Institute of Electrical and Electronics Engineers) Xplore Digital Library, ProQuest U.S. Newsstream, Academic Search Complete, the Food and Drug Administration (FDA) website, and ClinicalTrials.gov to identify academic and gray literature related to AI and health equity that were published between 2014 and 2021 and additional literature related to AI and health equity during the COVID-19 pandemic from 2020 and 2021. Literature was eligible for inclusion in our review if it identified at least one equity issue and a corresponding strategy to address it. To organize and synthesize equity issues, we adopted a 4-step AI application framework: Background Context, Data Characteristics, Model Design, and Deployment. We then created a many-to-many mapping of the links between issues and strategies.
RESULTS: In 660 documents, we identified 18 equity issues and 15 strategies to address them. Equity issues related to Data Characteristics and Model Design were the most common. The most common strategies recommended to improve equity were improving the quantity and quality of data, evaluating the disparities introduced by an application, increasing model reporting and transparency, involving the broader community in AI application development, and improving governance.
CONCLUSIONS: Stakeholders should review our many-to-many mapping of equity issues and strategies when planning, developing, and implementing AI applications in health care so that they can make appropriate plans to ensure equity for populations affected by their products. AI application developers should consider adopting equity-focused checklists, and regulators such as the FDA should consider requiring them. Given that our review was limited to documents published online, developers may have unpublished knowledge of additional issues and strategies that we were unable to identify.

UNASSIGNED: Our previous analysis showed how in-hospital mortality of intubated patients with COVID-19 in Greece is adversely affected by patient load and regional disparities.
UNASSIGNED: We aimed to update this analysis to include the large Delta and Omicron waves that affected Greece during 2021-2022, while also considering the effect of vaccination on in-hospital mortality.
UNASSIGNED: Anonymized surveillance data were analyzed from all patients with COVID-19 in Greece intubated between September 1, 2020, and April 4, 2022, and followed up until May 17, 2022. Time-split Poisson regression was used to estimate the hazard of dying as a function of fixed and time-varying covariates: the daily total count of intubated patients with COVID-19 in Greece, age, sex, COVID-19 vaccination status, region of the hospital (Attica, Thessaloniki, or rest of Greece), being in an intensive care unit, and an indicator for the period from September 1, 2021.
UNASSIGNED: A total of 14,011 intubated patients with COVID-19 were analyzed, of whom 10,466 (74.7%) died. Mortality was significantly higher with a load of 400-499 intubated patients, with an adjusted hazard ratio (HR) of 1.22 (95% CI 1.09-1.38), rising progressively up to 1.48 (95% CI 1.31-1.69) for a load of ≥800 patients. Hospitalization away from the Attica region was also independently associated with increased mortality (Thessaloniki: HR 1.22, 95% CI 1.13-1.32; rest of Greece: HR 1.64, 95% CI 1.54-1.75), as was hospitalization after September 1, 2021 (HR 1.21, 95% CI 1.09-1.36). COVID-19 vaccination did not affect the mortality of these already severely ill patients, the majority of whom (11,944/14,011, 85.2%) were unvaccinated.
UNASSIGNED: Our results confirm that in-hospital mortality of severely ill patients with COVID-19 is adversely affected by high patient load and regional disparities, and point to a further significant deterioration after September 1, 2021, especially away from Attica and Thessaloniki. This highlights the need for urgent strengthening of health care services in Greece, ensuring equitable and high-quality care for all.

OBJECTIVE: In the United States, women with schizophrenia face challenges in receiving gynecologic care, but little is known about how cervical cancer screening rates vary across time or states in a publicly insured population. We hypothesized that women Medicaid beneficiaries with schizophrenia would be less likely to receive cervical cancer screening across the United States compared with a control population, and that women with schizophrenia and other markers of vulnerability would be least likely to receive screening.
METHODS: This retrospective cohort study used US Medicaid administrative data from across 44 states between 2002 and 2012 and examined differences in cervical cancer screening test rates among 283 950 female Medicaid beneficiaries with schizophrenia and a frequency-matched control group without serious mental illness, matched on age and race/ethnicity. Among women with schizophrenia, multivariable logistic regression estimated the odds of receiving cervical cancer screening using individual sociodemographics, comorbid conditions, and health care service utilization.
RESULTS: Compared to the control group, women with schizophrenia were less likely to receive cervical cancer screening (OR = 0.76; 95% CI 0.75-0.77). Among women with schizophrenia, nonwhite populations, younger women, urban dwellers, those with substance use disorders, anxiety, and depression and those connected to primary care were more likely to complete screening.
CONCLUSIONS: Cervical cancer screening rates among US women Medicaid beneficiaries with schizophrenia were suboptimal. To address cervical cancer care disparities for this population, interventions are needed to prioritize women with schizophrenia who are less engaged with the health care system or who reside in rural areas.

OBJECTIVE: To assess the impact of race and the Affordable Care Act (ACA) of 2010 on disease presentation and overall survival for patients with well-differentiated thyroid carcinoma.
METHODS: Cross-sectional study of patients (n = 51,078) who underwent partial or total thyroidectomy with or without postoperative radioactive iodine (RAI) for well-differentiated thyroid carcinoma between 2004 and 2018 in the National Cancer Database (NCDB).
METHODS: Cumulative survival (CS) was assessed with Cox proportional hazard regression analyses.
RESULTS: There were significant disparities in disease presentation at the time of diagnosis, with Black, Asian/Pacific Islander (API), and Hispanic patients were more likely to have metastatic disease (p < 0.001) and higher TNM stage (p < 0.001) at the time of diagnosis compared to White patients. Black patients had significantly increased risk of death (HR 1.147, 95%CI 1.021-1.289) but API patients had improved CS (HR 0.730, 95% CI 0.608-0.877) compared to White patients. Passage of the ACA was associated with lower risk of mortality, regardless of whether patients lived in states that did not expand Medicaid (HR 0.866, 95% CI 0.823-0.910) or whether they lived in expansion states (HR 0.818, 95% CI 0.758-0.884).
CONCLUSIONS: Racial disparities significantly impact thyroid carcinoma diagnosis and treatment in the United States but have improved over time. Both expansion and non-expansion states had improved survival outcomes over time, and suggesting analysis of the ACA\'s long-term impact and ability to address health inequities is still warranted.
METHODS: Level 3 Laryngoscope, 2024.

BACKGROUND: The impact of socioeconomic inequalities on cancer care and outcomes has been well recognized and the underlying causes are likely multifactorial. Income is regarded as a cornerstone of socioeconomic status and has been assumed to correlate with access to care. We therefore sought to investigate whether income and changes in income would affect the rate of patients undergoing surgical resection for early-stage pancreatic cancer.
METHODS: Inflation-adjusted income data were obtained from the United States Census Bureau from 2010 to 2019. The cancer data were obtained from the SEER database. Counties present in both data sets were included in the analysis. Patients with stage I or II pancreatic cancer who underwent formal resection were deemed to have undergone appropriate surgical management. Patients were grouped into an early (2010-2014) and late (2015-2019) time period.
RESULTS: The final analysis included 23968 patients from 173 counties across 11 states. The resection rate was 45.1% for the entire study and rose from 42.8% to 47.4% from the early to late time periods (P < .001). The median change in income between the two time periods was an increase by $2387. The rate of resection was not dependent on income class or income change in our study population.
CONCLUSIONS: Our surgical care of pancreatic cancer is improving with more patients undergoing resection. In addition, there are now fewer disparities between patients of lower-income and higher-income groups with respect to receiving surgical intervention. This implies that our access to care has improved over the past decade. This is an encouraging finding with regards to reducing health care disparities.

BACKGROUND: Individuals who identify as lesbian, gay, bisexual, transgender, queer, intersex, or gender-nonconforming (LGBTQ+) experience discrimination and minority stress that may lead to elevated cancer risk.
METHODS: In the absence of population-based cancer occurrence information for this population, this article comprehensively examines contemporary, age-adjusted cancer risk factor and screening prevalence using data from the National Health Interview Survey, Behavioral Risk Factor Surveillance System, and National Youth Tobacco Survey, and provides a literature review of cancer incidence and barriers to care.
RESULTS: Lesbian, gay, and bisexual adults are more likely to smoke cigarettes than heterosexual adults (16% compared to 12% in 2021-2022), with the largest disparity among bisexual women. For example, 34% of bisexual women aged 40-49 years and 24% of those 50 and older smoke compared to 12% and 11%, respectively, of heterosexual women. Smoking is also elevated among youth who identify as lesbian, gay, or bisexual (4%) or transgender (5%) compared to heterosexual or cisgender (1%). Excess body weight is elevated among lesbian and bisexual women (68% vs. 61% among heterosexual women), largely due to higher obesity prevalence among bisexual women (43% vs. 38% among lesbian women and 33% among heterosexual women). Bisexual women also have a higher prevalence of no leisure-time physical activity (35% vs. 28% among heterosexual women), as do transgender individuals (30%-31% vs. 21%-25% among cisgender individuals). Heavier alcohol intake among lesbian, gay, and bisexual individuals is confined to bisexual women, with 14% consuming more than 7 drinks/week versus 6% of heterosexual women. In contrast, prevalence of cancer screening and risk reducing vaccinations in LGBTQ+ individuals is similar to or higher than their heterosexual/cisgender counterparts except for lower cervical and colorectal cancer screening among transgender men.
CONCLUSIONS: People within the LGBTQ+ population have a higher prevalence of smoking, obesity, and alcohol consumption compared to heterosexual and cisgender people, suggesting a higher cancer burden. Health systems have an opportunity to help inform these disparities through the routine collection of information on sexual orientation and gender identity to facilitate cancer surveillance and to mitigate them through education to increase awareness of LGBTQ+ health needs.

OBJECTIVE: Our study examines if the disease severity profile of our Congenital Diaphragmatic Hernia (CDH) patient cohort adherent to long-term follow-up differs from patients lost to follow-up after discharge and examines factors associated with health care utilization.
METHODS: Retrospective review identified CDH survivors born 2005-2019 with index repair at our institution. Primary outcome was long-term follow-up status: \"active\" or \"inactive\" according to clinic guidelines. Markers of CDH disease severity including CDH defect classification, oxygen use, tube feeds at discharge, and sociodemographic factors were examined as exposures.
RESULTS: Of the 222 included patients, median age [IQR] was 10.2 years [6.7-14.3], 61% male, and 57 (26%) were insured by Medicaid. Sixty-three percent (139/222) of patients were adherent to follow-up. Seventy-six percent of patients discharged on tube feeds had active follow-up compared to 55% of patients who were not, with similar findings for oxygen at discharge (76% vs. 55%). Kaplan-Meier analysis showed patients with smaller defect size had earlier attrition compared to patients with larger defect size. Other race (Hispanic, Asian, Middle Eastern) patients had 2.87 higher odds of attrition compared to white patients (95% CI 1.18-7.0). Medicaid patients had 2.64 higher odds of attrition compared to private insurance (95% CI 1.23-5.66).
CONCLUSIONS: Loss to follow-up was associated with race and insurance type. Disease severity was similar between the active and inactive clinic cohorts. Long-term CDH clinic publications should examine attrition to ensure reported outcomes reflect the discharged population. This study identified important factors to inform targeted interventions for follow-up adherence.
METHODS: Level III.