A Novel Curriculum for Internal Medicine Residents to Care for High-Need, High-Cost Patients.

OBJECTIVES: High-need, high-cost (HNHC) patients represent a small proportion of patients in the US, but result in disproportionately higher healthcare utilization. Teaching Internal Medicine (IM) resident trainees to provide high value care for HNHC patients is critical. We sought to improve resident attitudes and increase clinical skills associated with treating HNHC patients by creating a curriculum that leveraged the UCLA Extensivist Program, a patient-centered medical home for HNHC patients. METHODS: We developed a curriculum for PGY-2 and PGY-3 IM residents centered on caring for HNHC patients over the course of 6, 4h sessions during 1 academic year. Participants completed pre- and post-intervention surveys assessing self-rated attitudes and skills associated with caring for an HNHC patient population. RESULTS: Twenty-one IM residents completed the curriculum and 41 were in the control group. There were no statistically significant differences in assessed attitudes and skills, but there were trends of improvement, including a decrease in participants who agreed or strongly agreed they felt overwhelmed when seeing patients for posthospital discharge follow up (45.0% pre- to 41.7% post-intervention) and an increase in participants who agreed or strongly agreed they have the skills to successfully transition HNHC patients between inpatient and ambulatory settings (20.0% pre- to 33.3% post-intervention). Participants reported better understanding of resources available to HNHC patients, effective coordination of transitions of care, and comprehensive assessment of social determinants of health. CONCLUSION: A curriculum to improve resident attitudes and skills associated with caring for HNHC patients was successfully implemented in an IM program at a large academic medical center. The curriculum may be adapted for other training programs; long-term training woven throughout training may be important to significantly improve resident education on how to care for HNHC patients.

Illuminating the landscape of high-level clinical trial opportunities in the All of Us Research Program.

OBJECTIVE: With its size and diversity, the All of Us Research Program has the potential to power and improve representation in clinical trials through ancillary studies like Nutrition for Precision Health. We sought to characterize high-level trial opportunities for the diverse participants and sponsors of future trial investment. MATERIALS AND METHODS: We matched All of Us participants with available trials on ClinicalTrials.gov based on medical conditions, age, sex, and geographic location. Based on the number of matched trials, we (1) developed the Trial Opportunities Compass (TOC) to help sponsors assess trial investment portfolios, (2) characterized the landscape of trial opportunities in a phenome-wide association study (PheWAS), and (3) assessed the relationship between trial opportunities and social determinants of health (SDoH) to identify potential barriers to trial participation. RESULTS: Our study included 181 529 All of Us participants and 18 634 trials. The TOC identified opportunities for portfolio investment and gaps in currently available trials across federal, industrial, and academic sponsors. PheWAS results revealed an emphasis on mental disorder-related trials, with anxiety disorder having the highest adjusted increase in the number of matched trials (59% [95% CI, 57-62]; P < 1e-300). Participants from certain communities underrepresented in biomedical research, including self-reported racial and ethnic minorities, had more matched trials after adjusting for other factors. Living in a nonmetropolitan area was associated with up to 13.1 times fewer matched trials. DISCUSSION AND CONCLUSION: All of Us data are a valuable resource for identifying trial opportunities to inform trial portfolio planning. Characterizing these opportunities with consideration for SDoH can provide guidance on prioritizing the most pressing barriers to trial participation.

Applying Social Practice Theory to Explore Australian Preschool Children's Oral Health.

INTRODUCTION: Despite substantial research and provision of dental care, significant morbidity remains for children's oral health. Guided by social practice theory (SPT), this research moves away from the often-ineffective focus on changing individual behavior to rethinking the centrality of the social world in promoting or undermining oral health outcomes. We define social practice as a routinized relational activity linking and integrating certain elements (competence, materials, and meanings) into the performance of a practice that is reproduced across time and space. OBJECTIVE: To investigate oral health in preschool children in Perth, Western Australia, using social practice theory. METHODS: With no definitive methodology for investigating SPT, we chose focused ethnography as a problem-focused, context-specific approach using mainly interviews to investigate participants' experience caring for their children's oral health. The focus of analysis was the practice of oral health care, not individual behavior, where themes identified from participants' transcripts were organized into categories of elements and performance. RESULTS: Eleven parents, all of whom were married or partnered, were interviewed in 2021. Findings identified social practices relevant to oral health within parenting and family relations linked to routine daily activities, including shopping, consumption of food and beverages, and toothbrushing. Oral health literacy was reflected in integrating competence, materials, and meanings into performing oral health care, notably preferences for children to drink water over sugary beverages and information often being sourced from social media and mothers' groups rather than health providers. CONCLUSION: Focusing on social practices as the unit of analysis offers a more layered understanding of elements in young children's oral health care that can indicate where the problem may lie. Findings provide an opportunity to consider future research and policy directions in children's oral health. KNOWLEDGE TRANSFER STATEMENT: Examining social practices related to young children's oral health care identifies parents/carers' knowledge about, for example, toothbrushing, the resources required, and why toothbrushing is important. Analyzing these separate elements can reveal both enablers and barriers to oral health care. This provides researchers, clinicians and policymakers an opportunity to focus on not changing individual behavior but understanding how social context impacts parents/carers' capacity to make optimum decisions around young children's oral health.

Impact of COVID-19 Pandemic on Social Determinants of Health Issues of Marginalized Black and Asian Communities: A Social Media Analysis Empowered by Natural Language Processing.

PURPOSE: This study aims to understand the impact of the COVID-19 pandemic on social determinants of health (SDOH) of marginalized racial/ethnic US population groups, specifically African Americans and Asians, by leveraging natural language processing (NLP) and machine learning (ML) techniques on race-related spatiotemporal social media text data. Specifically, this study establishes the extent to which Latent Dirichlet Allocation (LDA) and Gibbs Sampling Dirichlet Multinomial Mixture (GSDMM)-based topic modeling determines social determinants of health (SDOH) categories, and how adequately custom named-entity recognition (NER) detects key SDOH factors from a race/ethnicity-related Reddit data corpus. METHODS: In this study, we collected race/ethnicity-specific data from 5 location subreddits including New York City, NY; Los Angeles, CA; Chicago, IL; Philadelphia, PA; and Houston, TX from March to December 2019 (before COVID-19 pandemic) and from March to December 2020 (during COVID-19 pandemic). Next, we applied methods from natural language processing and machine learning to analyze SDOH issues from extracted Reddit comments and conversation threads using feature engineering, topic modeling, and custom named-entity recognition (NER). RESULTS: Topic modeling identified 35 SDOH-related topics. The SDOH-based custom NER analyses revealed that the COVID-19 pandemic significantly impacted SDOH issues of marginalized Black and Asian communities. On average, the Social and Community Context (SCC) category of SDOH had the highest percent increase (366%) from the pre-pandemic period to the pandemic period across all locations and population groups. Some of the detected SCC issues were racism, protests, arrests, immigration, police brutality, hate crime, white supremacy, and discrimination. CONCLUSION: Reddit social media platform can be an alternative source to assess the SDOH issues of marginalized Black and Asian communities during the COVID-19 pandemic. By employing NLP/ML techniques such as LDA/GSDMM-based topic modeling and custom NER on a race/ethnicity-specific Reddit corpus, we uncovered various SDOH issues affecting marginalized Black and Asian communities that were significantly worsened during the COVID-19 pandemic. As a result of conducting this research, we recommend that researchers, healthcare providers, and governments utilize social media and collaboratively formulate responses and policies that will address SDOH issues during public health crises.

Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias.

OBJECTIVE: To develop a natural language processing (NLP) package to extract social determinants of health (SDoH) from clinical narratives, examine the bias among race and gender groups, test the generalizability of extracting SDoH for different disease groups, and examine population-level extraction ratio. METHODS: We developed SDoH corpora using clinical notes identified at the University of Florida (UF) Health. We systematically compared 7 transformer-based large language models (LLMs) and developed an open-source package - SODA (i.e., SOcial DeterminAnts) to facilitate SDoH extraction from clinical narratives. We examined the performance and potential bias of SODA for different race and gender groups, tested the generalizability of SODA using two disease domains including cancer and opioid use, and explored strategies for improvement. We applied SODA to extract 19 categories of SDoH from the breast (n = 7,971), lung (n = 11,804), and colorectal cancer (n = 6,240) cohorts to assess patient-level extraction ratio and examine the differences among race and gender groups. RESULTS: We developed an SDoH corpus using 629 clinical notes of cancer patients with annotations of 13,193 SDoH concepts/attributes from 19 categories of SDoH, and another cross-disease validation corpus using 200 notes from opioid use patients with 4,342 SDoH concepts/attributes. We compared 7 transformer models and the GatorTron model achieved the best mean average strict/lenient F1 scores of 0.9122 and 0.9367 for SDoH concept extraction and 0.9584 and 0.9593 for linking attributes to SDoH concepts. There is a small performance gap (∼4%) between Males and Females, but a large performance gap (>16 %) among race groups. The performance dropped when we applied the cancer SDoH model to the opioid cohort; fine-tuning using a smaller opioid SDoH corpus improved the performance. The extraction ratio varied in the three cancer cohorts, in which 10 SDoH could be extracted from over 70 % of cancer patients, but 9 SDoH could be extracted from less than 70 % of cancer patients. Individuals from the White and Black groups have a higher extraction ratio than other minority race groups. CONCLUSIONS: Our SODA package achieved good performance in extracting 19 categories of SDoH from clinical narratives. The SODA package with pre-trained transformer models is available at https://github.com/uf-hobi-informatics-lab/SODA_Docker.

Migration process of Venezuelan women to Brazil: living conditions and use of health services in Manaus and Boa Vista, 2018-2021.

BACKGROUND: The last decade saw the emergence of a new significant migration corridor due to the mass migration of Venezuelans to neighboring countries in South America. Since 2018, Brazil became the third host country of Venezuelan displaced populations. Little is known about how migratory processes affect needs, access to social programs, and public health services of migrant women. The goal of this study is to shed light on the socio-economic profile, living conditions, and use of health services of Venezuelan migrant women in two main reception cities in Brazil. METHODS: A survey was conducted using respondent-driven sampling (RDS) in the cities of Boa Vista (Roraima), and Manaus (Amazonas). The study included 2012 Venezuelan migrant women aged between 15 and 49 years old who migrated from Venezuela to Brazil between 2018 and 2021. Relative prevalence was calculated, and the χ2 test was used to analyse the homogeneity of proportions. All analyses considered the complex sampling. RESULTS: The main reasons for migrating relate to difficulties obtaining food (54%) and accessing health services (37.8%) in their country of origin. They were young and mixed race (65.7%) and had high school education (69.9%). In Manaus, 3.7% of the interviewees declared that they had no family income in the last month, while in Boa Vista, it was higher (66.2%) (p-value < 0.001). Almost one-third of them sought health care in the last 15 days, and 95% of them received care. The residents of Boa Vista arrived more recently and family income and access to paid work improved with time of residence in Brazil. CONCLUSIONS: Given the increasing flow of Venezuelan migrants crossing to Brazil, a reception system was established for the provision of food, shelter, access to health services, and income transfer programs to migrants. This was the case despite high unemployment and poverty levels and income inequality, particularly in the city of Boa Vista. However, the majority had legal migrant status and had access to the public and universal healthcare system in Brazil (SUS). The use of the SUS was similar in both cities, acting as a buffer for the differences in opportunities offered.

Assessing Differences in mHealth Usability and App Experiences Among Young African American Women: Secondary Analysis of a Randomized Controlled Trial.

BACKGROUND: In North Carolina, HIV continues to disproportionately affect young African American women. Although mobile health (mHealth) technology appears to be a tool capable of making public health information more accessible for key populations, previous technology use and social determinants may impact users' mHealth experiences. OBJECTIVE: The objective of this study was to evaluate mHealth usability, assessing differences based on previous technology use and social determinants among a sample of African American women in emerging adulthood. METHODS: As part of a National Institute on Drug Abuse-funded randomized controlled trial with African American women (aged 18-25 years), counties were assigned to receive an evidence-based HIV risk reduction intervention through mHealth and participants were asked to complete usability surveys at 6- and 12-month follow-ups. Participants' first survey responses were analyzed through 2-tailed t tests and linear regression models to examine associations with previous technology use and social determinants (P<.05). RESULTS: The mean System Usability Scale (SUS) score was 69.2 (SD 17.9; n=159), which was higher than the threshold of acceptability (68.0). Participants who had previously used a tablet indicated higher usability compared to participants without previous use (mean 72.9, SD 18.1 vs mean 57.6, SD 11.4; P<.001), and participants with previous smartphone use also reported higher usability compared to participants without previous use (mean 71.9, SD 18.3 vs mean 58.0, SD 10.7; P<.001). Differences in SUS scores were observed among those reporting homelessness (mean 58.3, SD 19.0 vs mean 70.8, SD 17.2; P=.01), unemployment (mean 65.9, SD 17.2 vs mean 71.6, SD 18.1; P=.04), or current school enrollment (mean 73.2, SD 18.5 vs mean 65.4, SD 16.5; P=.006). Statistically significant associations were not observed for food insecurity (mean 67.3, SD 18.6 vs mean 69.9, SD 17.7; P=.45). CONCLUSIONS: Although above-average usability was observed overall, these findings demonstrate differences in mHealth usability based on past and current life experiences. As mHealth interventions become more prevalent, these findings may have important implications for ensuring that mHealth apps improve the reach of evidence-based interventions. TRIAL REGISTRATION: ClinicalTrials.gov NCT02965014; https://clinicaltrials.gov/study/NCT02965014. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s12889-018-5796-8.

Evaluating the Effects of Food Deserts and Food Swamps in an Urban Burn Patient Population.

Poverty is a known risk factor for burn injury and is associated with residency in food deserts and food swamps. Our aim was to determine the prevalence of residency in food deserts and food swamps and to investigate the relationship between food environment, comorbidities, and wound healing in burn patients. We performed a retrospective chart review of all burn patients age ≥ 18 seen in the emergency department or admitted to the burn service at an ABA-verified urban academic center between January 2016 and January 2022. Patient GeoIDs were used to classify residency in food deserts and food swamps and comorbidities and demographics were recorded. A subset of patients with less than 20% total body surface area burns who underwent single-operation split-thickness skin grafting was identified for wound healing analysis. A total of 3,063 patients were included, with 206 in the heal-time analysis. 2,490 (81.3%) lived in food swamps and 96 (3.1%) lived in food deserts. Diabetes, hypertension, and tobacco smoking were more prevalent in food swamps than food deserts or good access areas. While there was no significant effect of food environment on wound healing, diabetes was associated with longer heal times. Most burn patients reside in food swamps, which are associated with a higher prevalence of hypertension, diabetes, and smoking. Food environment was not significantly associated with wound healing. Not having diabetes was associated with a shorter time to wound healing.

Mortgage Borrowing and Chronic Disease Outcomes in Older Age: Evidence from Biomarker Data in the Health and Retirement Study.

OBJECTIVE: The medical diagnosis of a disease is common in older age and can carry significant financial costs. For many older adults, equity in a home is their primary component of wealth; however, housing wealth is illiquid. We analyze the relationship between the liquidation of housing wealth through mortgage borrowing on older homeowners' ability to successfully control a disease. METHODS: We use data on homeowners age 65 and older from the 1998-2016 waves of the Health and Retirement Study (N=3,457). We use biomarkers and physical health indicators to measure disease control following a medical diagnosis of diabetes, heart condition, high blood pressure, lung disease, or cancer. Random effects linear probability and instrumental variable regressions estimate the associations of housing wealth, new mortgage borrowing, and disease control. RESULTS: Descriptively, 28% of older homeowners who borrow against home equity are not controlled on their disease, compared to 33% of non-borrowers. Panel data instrumental variable regressions show that each $10,000 borrowed from home equity after diagnosis is associated with a 17 percentage-point reduction in the probability of the disease not being controlled. DISCUSSION: Many older adults are not able or willing to liquidate housing wealth, and the ability to borrow also depends on changes in home values. Thus, housing wealth is not a uniform social determinant of health but is shaped by older adults' participation in financial markets.

Financial toxicity in allogeneic haematopoietic stem cell transplant patients from a social determinants of health perspective.

PURPOSE: Financial toxicity (FT) refers to the subjective perception of financial distress resulting from objective economic strain due to illness, exerting a detrimental influence on health outcomes. This study aimed to describe FT among allogeneic haematopoietic stem cell transplant (allo-HSCT) recipients within a public health framework, employing a social determinants of health approach. METHODS: A multi-centre cross-sectional study involving adult allo-HSCT patients was conducted across three public hospitals in Madrid. FT was assessed using a validated COST scale (range 0-44; lower scores indicating higher FT). Patient-administered paper/online questionnaires were utilized to collect data on sociodemographic, socioeconomic, clinical, and healthcare access variables. Descriptive, non-parametric univariate statistical analysis and multiple linear regression models were performed. RESULTS: Sixty-six patients, with a mean age: 52.5 years (SD: 11.5), 50% women, 28.7% displaced to Madrid for HSCT, and 71.4% lacking financial support were included. The median FT score was 20 points (IQR 12-27.25). Independent factors associated with higher FT included being females (Coef = -3.26; p = 0.079), perceived income loss after HSCT (Coef = -6.81; p < 0.001) and a monthly household income of ≤1000 € compared to 1001-2500€ (Coef = 8.29; p = 0.005) or >2500 € (Coef = 15.75; p < 0.001). CONCLUSIONS: Despite the limited sample size, our findings underscore the presence of financial toxicity among allo-HSCT patients, shaped by social determinants of health. Recognizing and addressing FT within the HSCT process is essential to mitigate social inequalities in health.

Poor reporting limited consideration of EDI in the Australian guidelines for the clinical care of people with COVID-19.

OBJECTIVE: Actively addressing issues of equity, diversity and inclusion (EDI) in healthcare guidelines provides an important avenue ensure that individuals and communities receive high-quality health care that meets their needs. In 2020, the National Clinical Evidence Taskforce was charged with developing Australian living guidelines for COVID-19 (the Guidelines). It was intended that the Guidelines would consider the biological and social determinants of health underpinning evidence-based recommendations for of the treatment of COVID-19. The objective of this paper is to describe the evidence available on biological and social determinants of health that is reported in published trials of disease modifying therapies for COVID-19. STUDY DESIGN AND SETTING: Published papers of randomised controlled trials that informed clinical recommendations (for and against drug therapies for COVID-19) in the Guidelines were reviewed retrospectively using a case series design. We extracted reported characteristics relating to biological and social determinants of health. These included: age, sex, gender, geographical location, ethnicity (including indigenous), disability, migrant status, income, education, employment, and social support. A descriptive analysis was conducted to illustrate the characteristics available for use in guideline development. RESULTS: A total of 115 peer-reviewed papers describing randomised control trials of drug interventions for the treatment of COVID-19 were included. Biological and social determinants of health characteristics were poorly reported. Geographical location of the study was the only category reported in all papers. While age and sex were reported in most papers (n=109 and 108, respectively); ethnicity was reported in only one third of papers (n=40), social support was reported in only three papers and employment in one paper. No paper reported on gender, disability, migrant status, income or education. CONCLUSION: Consideration of EDI issues is a crucial component of guideline development. Although these issues were widely recognised to impact on health outcomes from COVID-19, reporting of these characteristics was poor in COVID trials. Urgent action is needed to improve reporting of EDI characteristics if they are to be meaningfully considered in guideline processes, and health inequity be overcome.

Assessing the Impact of Neighborhood and Built Environment on Pediatric Perioperative Care: A Systematic Review of the Literature.

CONTEXT: Neighborhood and built environment encompass one key area of the Social Determinants of Health (SDOH) and is frequently assessed using area-level indices. OBJECTIVE: We sought to systematically review the pediatric surgery literature for use of commonly applied area-level indices and to compare their utility for prediction of outcomes. DATA SOURCES: A literature search was conducted using PubMed, Ovid MEDLINE, Ovid MEDLINE Epub Ahead of Print, PsycInfo, and an artificial intelligence search tool (1/2013-2/2023). STUDY SELECTION: Inclusion required pediatric surgical patients in the US, surgical intervention performed, and use of an area-level metric. DATA EXTRACTION: Extraction domains included study, patient, and procedure characteristics. RESULTS: Area Deprivation Index is the most consistent and commonly accepted index. It is also the most granular, as it uses Census Block Groups. Child Opportunity Index is less granular (Census Tract), but incorporates pediatric-specific predictors of risk. Results with Social Vulnerability Index, Neighborhood Deprivation Index, and Neighborhood Socioeconomic Status were less consistent. LIMITATIONS: All studies were retrospective and quality varied from good to fair. CONCLUSIONS: While each index has strengths and limitations, standardization on ideal metric(s) for the pediatric surgical population will help build the inferential power needed to move from understanding the role of SDOH to building meaningful interventions towards equity in care. TYPE OF STUDY: Systematic Review. LEVEL OF EVIDENCE: Level III.

Health literacy in cancer care: A systematic review.

PURPOSE: Health literacy (HL) is a set of knowledge and skills that enables individuals to interpret and act upon health information, which is essential for health equity. There is a growing body of evidence in the field of HL in cancer care but there is, to our knowledge, no systematic review that explores the association between sociodemographic factors and HL among patients with cancer. The aim of this study was therefore to conduct a systematic review of the existing literature that assesses HL levels and the relationship between HL and sociodemographic factors in an adult cancer population. METHODS: This is a systematic review and its protocol was registered in PROSPERO (ID: CRD42021164071). The study was conducted in accordance with the PRISMA statement. The literature search, from December 2009 to September 2023, was made in six databases, AMED, CINAHL, Embase, MEDLINE, PsycINFO, and Web of Science Core Collection. RESULTS: Fifteen studies were included in the review. The included studies used nine different measurement tools for assessing HL. In the included studies between 11.9 % and 86 % had limited HL. We identified a relationship between limited HL and annual income, education level, ethnicity, living in rural areas and multiple comorbidities. CONCLUSION: The results indicate that limited HL is prevalent in the cancer population and should be acknowledge in everyday practice to meet health equity. Our awareness about sociodemographic factors and its association with HL, may enhance adherence to cancer treatment and quality of life, and lower physical and emotional distress.

[Homelessness as a determinant of health and its impact on quality of life]. / Sinhogarismo como determinante de la salud y su impacto en la calidad de vida.

OBJECTIVE: To determine the health status of the homeless population who spend the night on the streets and in shelters (extreme residential exclusion), with reference to their quality of life, self-perceived health, comorbidity and access to health resources. METHOD: A cross-sectional descriptive study was carried out on a sample of 263 homeless people in the city of Valencia by means of a nocturnal count and using the EQ-5D-3L Health Related Quality of Life questionnaire and questions from the European Quality of Life Survey for Spain. RESULTS: Of the people who participated in the study, 129 of them slept outdoors, 49% (62.79% men, 19.37% women and 17.84% unidentified), while 134 slept in hostels, i.e. 51% (67.16% men and 32.84% women) with an estimated average age of 41.53 years and 55% had been living on the street for less than 12 months. People staying overnight on the streets presented worse quality of life and more than a quarter of the sample lacked a health card. CONCLUSIONS: There is a relationship between homelessness and poor health conditions in terms of quality of life, perceived health, comorbidity and accessibility to health to resources. The inverse care law is evidenced.

The Challenge of Examining Social Determinants of Health in People Living With Tourette Syndrome.

BACKGROUND: To examine the association between race, ethnicity, and parental educational attainment on tic-related outcomes among Tourette Syndrome (TS) participants in the Tourette Association of America International Consortium for Genetics (TAAICG) database. METHODS: 723 participants in the TAAICG dataset aged ≤21 years were included. The relationships between tic-related outcomes and race and ethnicity were examined using linear and logistic regressions. Parametric and nonparametric tests were performed to examine the association between parental educational attainment and tic-related outcomes. RESULTS: Race and ethnicity were collapsed as non-Hispanic white (N=566, 88.0%) versus Other (N=77, 12.0%). Tic symptom onset was earlier by 1.1 years (P < 0.0001) and TS diagnosis age was earlier by 0.9 years (P = 0.0045) in the Other group (versus non-Hispanic white). Sex and parental education as covariates did not contribute to the differences observed in TS diagnosis age. There were no significant group differences observed across the tic-related outcomes in parental education variable. CONCLUSIONS: Our study was limited by the low number of nonwhite or Hispanic individuals in the cohort. Racial and ethnic minoritized groups experienced an earlier age of TS diagnosis than non-Hispanic white individuals. Tic severity did not differ between the two groups, and parental educational attainment did not affect tic-related outcomes. There remain significant disparities and gaps in knowledge regarding TS and associated comorbid conditions. Our study suggests the need for more proactive steps to engage individuals with tic disorders from all racial and ethnic minoritized groups to participate in research studies.

Social Determinants of Health Factors and Loss-To-Follow-Up in the Field of Vascular Surgery Characteristics and Vascular Follow-Up.

OBJECTIVE: It is estimated that 22 - 57% of vascular patients are lost to follow-up which is of concern as the Society of Vascular Surgery recommends annual patient follow-up. The purpose of this report was to identify social determinants of health factors (SDoH) and their relationship to loss to follow-up in vascular patients. METHODS: The methods employed were a systematic literature review of 29 empirical articles and a retrospective quality improvement report with 27 endovascular aortic repair (EVAR) and thoracic endovascular aortic repair (TEVAR) patients at the University of Chicago. RESULTS: The systematic literature review resulted in 2,931 articles which were reduced to 29 articles meeting the inclusion criteria. Demographic variables were more frequently cited than SDoH factors, but the most common were smoking, transportation, and socioeconomic status / insurance. Additionally, 176 EVAR and TEVAR patients were called resulting in 27 patients who completed a SDoH questionnaire. Twenty-six percent indicated they had missed at least one appointment with the top reasons being work or family responsibilities. Due to limited patient size no statistical analyses were performed, but frequencies of responses to SDoH questions were reported to augment the existing limited literature and guide future research into variables such as one's ability to pay for basics like food or mortgage. CONCLUSIONS: SDoH factors are important yet understudied aspects of endovascular repairs that require more research to understand their impact on vascular surgery follow-up rates and outcomes. Additional research is needed as lack of consideration of such factors may impact the generalizability of existing research and such knowledge may help in informing clinician treatment plans.

Validation of three health literacy screening questions compared with S-TOFHLA in a low-income diverse English- and Spanish-Speaking population.

BACKGROUND: Clinicians need a tool to gauge patients' ability to understand health conditions and treatment options. The Short-form Test of Functional Health Literacy in Adults (S-TOFHLA) is the gold standard for this, but its length is prohibitive for use in clinical settings. This study seeks to validate a novel three-item question set for predicting health literacy. METHODS: This cross-sectional study utilized an in-person questionnaire alongside the S-TOFHLA. The sample included 2027 English- and Spanish-speaking adults (≥18 years) recruited from primary care practices serving a low-income eastern Pennsylvania community. Most patients (57.7%) identified as Hispanic. Diagnostic accuracy of each question and aggregated scores were assessed against the validated survey by calculating the area under the receiver operating characteristic (AUROC) curve. RESULTS: Questions in the 'Problems Learning' and 'Help Reading' domains (AUROC 0.66 for each) performed better than the 'Confident Forms' question (AUROC 0.64). Summing all three scores resulted in an even higher AUROC curve (0.71). Cronbach's alpha of the combined items was 0.696. CONCLUSIONS: Study results suggest that any of the three questions are viable options for screening health literacy levels of diverse patients in primary care clinical settings. However, they perform better as a summed score than when used individually.

Impact of Social Determinants of Health on Outcomes for Patients with Adult Congenital Heart Disease.

PURPOSE OF REVIEW: The study of adults with congenital heart disease (ACHD) is a rapidly growing field; however, more research is needed on the disparities affecting outcomes. With advances in medicine, a high percentage of patients with congenital heart disease (CHD) are advancing to adulthood, leading to an increase in the number of ACHD. This creates a pressing need to evaluate the factors, specifically the social determinants of health (SDOH) contributing to the outcomes for ACHD. RECENT FINDINGS: A myriad of factors, including, but not limited to, race, education, and socioeconomic status, have been shown to affect ACHD outcomes. Existing data from hospitalizations, mortality and morbidity, advanced care planning, patient and physician awareness, financial factors, and education alongside race and socioeconomic status present differences in ACHD outcomes. With SDOH having a significant impact on ACHD subspecialty care outcomes, ACHD centers need to be constantly adapting and innovating, incorporating SDOH into patient management, and providing additional healthcare resources to manage the care of ACHD.

Local government spending and mental health: Untangling the impacts using a dynamic modelling approach.

This study investigated the impact of local government spending on mental health in England between 2013 and 2019. Guided by the "Health in All Policies" vision, which encourages the integration of health in all decision-making areas, we explored how healthcare and multiple nonmedical budgeting decisions related to population mental health. We used random curve general cross-lagged modelling to dynamically partition effects into the short-run (from t to t + 1) and long-run (from t to t + 2) impacts, account for unobserved area-level heterogeneity and reverse causality from health outcomes to financial investments, and comprehensive modelling of budget items as an interconnected system. Our findings revealed that spending in adult social care, healthcare, and law & order predicted long-term mental health gains (0.004-0.081 SDs increase for each additional 10% in expenditure). However, these sectors exhibited negative short-term impulses (0.012-0.077 SDs decrease for each additional 10% in expenditure), markedly offsetting the long-term gains. In turn, infrastructural and environmental spending related to short-run mental health gains (0.005-0.031 SDs increase for each additional 10% in expenditure), while the long-run effects were predominantly negative (0.005-0.028 SDs decrease for each additional 10% in expenditure). The frequent occurrence of short-run and long-run negative links suggested that government resources may not be effectively reaching the areas that are most in need. In the short-term, negative effects could also imply temporary disruptions to service delivery largely uncompensated by later mental health improvements. Nonetheless, some non-health spending policies, such as law & order and infrastructure, can be related to long-lasting positive mental health impacts.

Sustainable Approach to Justice, Equity, Diversity, and Inclusion Through Better Quality Measurement.

The US health care industry has broadly adopted performance and quality measures that are extracted from electronic health records and connected to payment incentives that hope to improve declining life expectancy and health status and reduce costs. While the development of a quality measurement infrastructure based on electronic health record data was an important first step in addressing US health outcomes, these metrics, reflecting the average performance across diverse populations, do not adequately adjust for population demographic differences, social determinants of health, or ecosystem vulnerability. Like society as a whole, health care must confront the powerful impact that social determinants of health, race, ethnicity, and other demographic variations have on key health care performance indicators and quality metrics. Tools that are currently available to capture and report the health status of Americans lack the granularity, complexity, and standardization needed to improve health and address disparities at the local level. In this article, we discuss the current and future state of electronic clinical quality measures through a lens of equity.