The case for more active policy attention to health promotion

Socioeconomic Determinants of Health and Reflux Management: Insights from a Tertiary Medical Center

OBJECTIVES

To assess the correlation of social determinants of health (SDOH) with the general care patterns related to gastroesophageal reflux disease and laryngopharyngeal reflux. Determine correlation of SDOH on utilization rates for medication, reflux testing and surgical intervention for patients diagnosed with reflux. Describe overall care patterns for gastroesophageal reflux disease care at a tertiary academic facility.

STUDY DESIGN

Retrospective chart review.

METHODS

Patient demographics (age, sex, race, ethnicity, and insurance status) were extracted for adults diagnosed with reflux between 2009 and 2019. Odds ratios (ORs) for the associations between sociodemographic factors and reflux treatment pathways were determined by chi-square analyses.

RESULTS

A total of 143,786 patients were evaluated during the study period with a diagnosis code of reflux. A subgroup of 40,754 patients had objective reflux testing including Bravo, dual pH-impedance, manometry, esophagogastroduodenoscopy (EGD) and esophagram, but no significant difference in utilization rates was found. A total of 239 patients who failed medical management underwent fundoplication. White (OR 2.43, 95% confidence interval [CI] 1.56-3.70) and female (OR 1.37, 95% CI 1.05-1.79) patients were more likely to undergo fundoplication than Black (OR 0.42, 95% CI 0.25-0.70) and male (OR 0.72, 95% CI 0.55-0.95) patients. Patients with private insurance (OR 1.58, 95% CI 1.23-2.04) were more likely to undergo fundoplication than those with public insurance (OR 0.65, 95% CI 0.50-0.84). Male patients were less likely to undergo fundoplication (OR 0.69, 95% CI 0.49-0.98) among patients evaluated for reflux with EGD.

CONCLUSIONS

SDOH correlate with patterns of reflux evaluation and management at our tertiary care center.

LEVEL OF EVIDENCE

IV Laryngoscope, 2024.

Computational approaches to investigate the relationship between periodontitis and cardiovascular diseases for precision medicine

Periodontitis is a highly prevalent inflammatory illness that leads to the destruction of tooth supporting tissue structures and has been associated with an increased risk of cardiovascular disease (CVD). Precision medicine, an emerging branch of medical treatment, aims can further improve current traditional treatment by personalizing care based on one's environment, genetic makeup, and lifestyle. Genomic databases have paved the way for precision medicine by elucidating the pathophysiology of complex, heritable diseases. Therefore, the investigation of novel periodontitis-linked genes associated with CVD will enhance our understanding of their linkage and related biochemical pathways for targeted therapies. In this article, we highlight possible mechanisms of actions connecting PD and CVD. Furthermore, we delve deeper into certain heritable inflammatory-associated pathways linking the two. The goal is to gather, compare, and assess high-quality scientific literature alongside genomic datasets that seek to establish a link between periodontitis and CVD. The scope is focused on the most up to date and authentic literature published within the last 10 years, indexed and available from PubMed Central, that analyzes periodontitis-associated genes linked to CVD. Based on the comparative analysis criteria, fifty-one genes associated with both periodontitis and CVD were identified and reported. The prevalence of genes associated with both CVD and periodontitis warrants investigation to assess the validity of a potential linkage between the pathophysiology of both diseases.

Assessing Social Determinants of Health During Critical Illness: Implications and Methodologies

A growing body of literature has identified social determinants of health (SDoH) as potential contributors to health disparities in pediatric critical illness. Pediatric critical care providers should use validated screening tools to identify unmet social needs and ensure appropriate referral through multisector partnerships. Pediatric critical care researchers should consider factors outside of race and insurance status and explore the association between neighborhood-level factors and disparate health outcomes during critical illness. Measuring and addressing the SDoH at the individual and neighborhood level are important next steps in mitigating health disparities for critically ill pediatric patients.

Is Redistribution Good for Our Health? Examining the Macrocorrelation between Welfare Generosity and Health across EU Nations over the Last 40 Years

CONTEXT

Social determinants of health are finally getting much-needed policy attention, but their political origins remain underexplored. In this article, the authors advance a theory of political determinants as accruing along three pathways of welfare state effects (redistribution, poverty reduction, and status preservation), and they test these assumptions by examining impacts of policy generosity on life expectancy (LE) over the last 40 years.

METHODS

The authors merge new and existing welfare policy generosity data from the Comparative Welfare Entitlement Project with data on LE spanning 1980-2018 across 21 countries in the Organization for Economic Cooperation and Development. They then examine relationships between five welfare policy generosity measures and LE using cross-sectional differencing and autoregressive lag models.

FINDINGS

The authors find consistent and positive effects for total generosity (an existing measure of social insurance generosity) on LE at birth across different model specifications in the magnitude of an increase in LE at birth of 0.10-0.15 years (p < 0.05) as well as for a measure of status preservation (0.11, p < 0.05). They find less consistent support for redistribution and poverty reduction measures.

CONCLUSIONS

The authors conclude that in addition to generalized effects of policy generosity on health, status-preserving social insurance may be an important, and relatively overlooked, mechanism in increasing LE over time in advanced democracies.

Addressing social needs in oncology practices: A case study of a patient-centered approach using health information technology

Given the dramatic growth in the financial burden of cancer care over the past decades, individuals with cancer are increasingly susceptible to developing social needs (e.g., housing instability and food insecurity) and experiencing an adverse impact of these needs on care management and health outcomes. However, resources required to connect individuals with needed social and community services typically exceed the available staffing within clinical teams. Using input from focus groups, key informant interviews, user experience/user interface testing, and a multidisciplinary community advisory board, we developed a new technology solution, ConnectedNest, which connects individuals in need to community based organizations (CBOs) that provide services through direct and/or oncology team referrals, with interfaces to support all three groups (patients, CBOs, and oncology care teams). After prototype development, we conducted usability testing, with participants noting the importance of the technology for filling a current gap in screening and connecting individuals with cancer with needed social and community services. We employ a patient-empowered approach that engages the support of an individual's healthcare team and community organizations. Future work will examine the integration and implementation of ConnectedNest for oncology patients, oncology care teams, and cancer-focused CBOs to build capacity for effectively addressing distress in this population.

Access to land and nature as health determinants: a qualitative analysis exploring meaningful human-nature relationships among Indigenous youth in central Canada

BACKGROUND

Human relationships with and connections to nature and the "land" are a commonly accepted Social Determinant of Health. Greater knowledge about these relationships can inform public health policies and interventions focused on health equity among Indigenous populations. Two research questions were explored: (1) what are the experiences of meaningful human-nature relationships among Indigenous youth within central Canada; and (2) how do these relationships function as a determinant of health and wellness within their lives.

METHODS

Drawing from three community-based participatory research (CBPR) projects within two urban centers in Saskatchewan and Manitoba, the integrated qualitative findings presented here involved 92 interviews with 52 Indigenous youth that occurred over a period of nine years (2014-2023). Informed by "two-eyed seeing," this analysis combined Indigenous Methodologies and a Constructivist Grounded Theory approach.

RESULTS

Our integrative analysis revealed three cross-cutting themes about meaningful human-nature relationships: (1) promoting cultural belonging and positive identity; (2) connecting to community and family; and (3) supporting spiritual health and relationships. The experiences of young people also emphasized barriers to land and nature access within their local environments.

DISCUSSION

Policies, practices, and interventions aimed at strengthening urban Indigenous young peoples' relationships to and connections with nature and the land can have a positive impact on their health and wellness. Public Health systems and healthcare providers can learn about leveraging the health benefits of human-nature relationships at individual and community levels, and this is particularly vital for those working to advance health equity among Indigenous populations.

Strengthening Neuroplasticity in Substance Use Recovery Through Lifestyle Intervention

The incidence of substance use and behavioral addictions continues to increase throughout the world. The Global Burden of Disease Study shows a growing impact in disability-adjusted life years due to substance use. Substance use impacts families, communities, health care, and legal systems; yet, the vast majority of individuals with substance use disorders do not seek treatment. Within the United States, new legislation has attempted to increase the availability of buprenorphine, but the impact of substance use continues. Although medications and group support therapy have been the mainstay of treatment for substance use, lifestyle medicine offers a valuable adjunct therapy that may help strengthen substance use recovery through healthy neuroplastic changes.

Addressing Hypertension Disparities via Systems Dynamics: Insights From Community Health Connections

Background and objective Hypertension remains a major public health challenge in the United States, disproportionately affecting various demographic groups. Significant disparities persist in hypertension prevalence and control due to interactions between socioeconomic factors, healthcare access, and systemic inequities. In this study, we aimed to determine the impact of socioeconomic and healthcare factors on hypertension control among patients at Community Health Connections (CHC), a Federally Qualified Health Center serving 36 communities in North Central Massachusetts, and identify effective interventions using systems dynamics modeling to promote health equity. Materials and methods This was a retrospective observational study using data from 2023 CHC patients, and the National Health and Nutrition Examination Survey (NHANES) 2011-2014. Systems dynamics modeling was employed to visualize interactions among factors influencing hypertension outcomes. The study included 4,870 CHC patients. Participants were selected based on clinical records and comprised 3,690 White participants (76%), 464 Black/African American participants (10%), 108 Asian participants (2%), and 608 classified as Other/Non-reported (12%). The cohort included 2,490 males (51%) and 2,380 females (49%). Socioeconomic factors (e.g., race, age, insurance status) and healthcare access were the study variables. The primary outcome was hypertension control, defined as a blood pressure reading of <140/90 mmHg. The study measured control rates across different demographic groups and assessed the impact of socioeconomic and healthcare factors on these rates. Results Among the 4,870 CHC patients, 3,007 (62%) achieved hypertension control. The overall hypertension control rate varied significantly by race: White: 68.6%, Black/African American: 61.6%, Asian: 63.2%, and Other/Non-reported: 65.6%. Insured patients had a control rate of 67.7%, compared to 37.5% for uninsured patients (p<0.001). Systems dynamics models illustrated how socioeconomic disparities and healthcare access issues amplify health inequities. Key interventions identified include, but are not limited to, multidisciplinary care teams, community health worker programs, and telehealth services. Conclusions Addressing hypertension disparities among CHC patients requires a systemic approach integrating socioeconomic, healthcare, and policy-related interventions. Systems dynamics modeling provides a framework for designing and implementing targeted interventions, enhancing health equity, and improving hypertension control outcomes in underserved populations. Further research is needed to test the effectiveness of these interventions before their broad implementation.

The Digital Determinants of Health: A Guide for Competency Development in Digital Care Delivery for Health Professions Trainees

Unlabelled

Health care delivery is undergoing an accelerated period of digital transformation, spurred in part by the COVID-19 pandemic and the use of "virtual-first" care delivery models such as telemedicine. Medical education has responded to this shift with calls for improved digital health training, but there is as yet no universal understanding of the needed competencies, domains, and best practices for teaching these skills. In this paper, we argue that a "digital determinants of health" (DDoH) framework for understanding the intersections of health outcomes, technology, and training is critical to the development of comprehensive digital health competencies in medical education. Much like current social determinants of health models, the DDoH framework can be integrated into undergraduate, graduate, and professional education to guide training interventions as well as competency development and evaluation. We provide possible approaches to integrating this framework into training programs and explore priorities for future research in digitally-competent medical education.

Effects of Community Assets on Major Health Conditions in England: A Data Analytic Approach

INTRODUCTION

The broader determinants of health including a wide range of community assets are extremely important in relation to public health outcomes. Multiple health conditions, multimorbidity, is a growing problem in many populations worldwide.

METHODS

This paper quantified the effect of community assets on major health conditions for the population of England over six years, at a fine spatial scale using a data analytic approach. Community assets, which included indices of the health system, green space, pollution, poverty, urban environment, safety, and sport and leisure facilities, were quantified in relation to major health conditions. The health conditions examined included high blood pressure, obesity, dementia, diabetes, mental health, cardiovascular conditions, musculoskeletal conditions, respiratory conditions, kidney and liver disease, and cancer. Cluster analysis and dendrograms were calculated for the community assets and major health conditions. For each health condition, a statistical model with all community assets was fitted, and model selection was performed. The number of significant community assets for each health condition was recorded. The unique variance, explained by each significant community asset per health condition, was quantified using hierarchical variance partitioning within an analysis of variance model.

RESULTS

The resulting data indicate major health conditions are often clustered, as are community assets. The results suggest that diversity and richness of community assets are key to major health condition outcomes. Primary care service waiting times and distance to public parks were significant predictors of all health conditions examined. Primary care waiting times explained the vast majority of the variances across health conditions, with the exception of obesity, which was better explained by absolute poverty.

CONCLUSIONS

The implications of the combined findings of the health condition clusters and explanatory power of community assets are discussed. The vast majority of determinants of health could be accounted for by healthcare system performance and distance to public green space, with important covariate socioeconomic factors. Emphases on community approaches, significant relationships, and asset strengths and deficits are needed alongside targeted interventions. Whilst the performance of the public health system remains of key importance, community assets and local infrastructure remain paramount to the broader determinants of health.

Unequal Health Burden from Air Pollution among Minors in Education

Air pollution exposure has been linked to a variety of adverse health outcomes among minors; yet little is known about the associated health inequity across regions and schools. Here, we assessed the unequal health burden linked to particulate matter exposure among minors of 10,358 schools in China through 12,439,232 individual health records. Our findings highlight the persistent health risks with superlinear concentration-response patterns and following inverted U-shaped risk trends, that each 10 μg/m3 increase in PM2.5 exposure resulted in 4.1% (3.9-4.2%) additional school absenteeism risk. Compared to urban well-built schools, minors in rural poor-built schools experienced significantly higher exposure and slower rate of risk reduction and had over 80.0% less medical resources while bearing 145.2% of the health burden. Disparities in pollution exposure, built environment, and resource allocation are intertwined to shape the health inequity pattern, especially between rural and urban schools. These findings underscore the urgency for persistent efforts aimed at disadvantaged schools to reduce pollution exposure and equitably distribute social resources, ultimately securing an impartial health-centered education for minors.

The Utility of the Social Vulnerability Index as a Proxy for Social Disparities Following Total Knee Arthroplasty

BACKGROUND

In 2021, alternative payment models accounted for 40% of traditional Medicare reimbursements. As such, we sought to examine health disparities through a standardized categorization of social disparity using the social vulnerability index (SVI). We examined (1) risk factors for SVI ≥ 0.50, (2) incidences of complications, and (3) risk factors for total complications between patients who have SVI < 0.50 and SVI ≥ 0.50 who had a total knee arthroplasty (TKA).

METHODS

Patients who underwent TKA between January 1, 2022 and December 31, 2022 were identified in the state of Maryland. A total of 4,952 patients who had complete social determinants of health data were included. Patients were divided into 2 cohorts according to SVI: < 0.50 (n = 2,431) and ≥ 0.50 (n = 2,521) based on the national mean SVI of 0.50. The SVI identifies communities that may need support caused by external stresses on human health based on 4 themed scores: socioeconomic status, household composition and disability, minority status and language, and housing and transportation. The SVI theme of household composition and disability encompassed patients aged 65 years and more, patients aged 17 years and less, civilians who have a disability, single-parent households, and English language deficiencies. The higher the SVI, the more social vulnerability or resources are needed to thrive in a geographic area.

RESULTS

When controlling for risk factors and patient comorbidities, the theme of household composition and disability (odds ratio 2.0, 95% confidence interval 1.1 to 5.0, P = .03) was the only independent risk factor for total complications. Patients who had an SVI ≥0.50 were more likely to be women (65.8% versus 61.0%, P < .001), Black (34.4% versus 12.9%, P < .001), and have a median household income < $87,999 (21.3% versus 10.2%, P < .001) in comparison to the patients who had an SVI < 0.50, respectively.

CONCLUSIONS

The SVI theme of household composition and disability, encompassing patients aged 65 years and more, patients aged 17 years and less, civilians who have a disability, single-parent households, and English language deficiencies, were independent risk factors for total complications following TKA. Together, these findings offer opportunities for interventions with selected patients to address social disparities.

Couples-based health behavior change interventions: A relationship science perspective on the unique opportunities and challenges to improve dyadic health

Epidemiological studies indicate that better marital quality is associated with less morbidity and premature mortality. A number of interpersonal processes related to marital quality are also associated with health-relevant surrogate biomarkers across different physiological systems. Despite these replicated correlational findings, few interventions have harnessed interpersonal processes as potential interventions to enhance health. Building on Dr. Janice Kiecolt-Glaser's model of relationships and health, we propose that couples-based health behavior change interventions may represent an effective way to decrease dysregulation across autonomic, endocrine and immune systems and, ultimately, improve dyadic health. Given that the cohabiting partner is an essential part of the social context in which the behavior change is being pursued, it is important to consider the relational issues triggered by dyadic interventions. Using a relationship science perspective, this article reviews the literature on couples' concordance in health behaviors and health outcomes, the potential pathways underlying this concordance, theories of the couple as a self-sustaining social system, dyadic adaptation of individual self-regulation strategies, effective and ineffective social support and social control in couple relationships, the integration of relationship-building and health behavior change strategies, and the consideration of key moderators related to the nature of the relationship and the context surrounding the relationship. These findings highlight the importance of adopting a relationship science perspective when designing and testing dyadic interventions to improve health outcomes. The data reviewed provide insights on how to optimize couples-based health behavior change interventions to reduce physiological dysregulation and improve dyadic health.

Development and validation of mortality prediction models based on the social determinants of health

BACKGROUND

There is no standardised approach to screening adults for social risk factors. The goal of this study was to develop mortality risk prediction models based on the social determinants of health (SDoH) for clinical risk stratification.

METHODS

Data were used from REasons for Geographic And Racial Differences in Stroke (REGARDS) study, a national, population-based, longitudinal cohort of black and white Americans aged ≥45 recruited between 2003 and 2007. Analysis was limited to participants with available SDoH and mortality data (n=20 843). All-cause mortality, available through 31 December 2018, was modelled using Cox proportional hazards with baseline individual, area-level and business-level SDoH as predictors. The area-level Social Vulnerability Index (SVI) was included for comparison. All models were adjusted for age, sex and sampling region and underwent internal split-sample validation.

RESULTS

The baseline prediction model including only age, sex and REGARDS sampling region had a c-statistic of 0.699. An individual-level SDoH model (Model 1) had a higher c-statistic than the SVI (0.723 vs 0.708, p<0.001) in the testing set. Sequentially adding area-level SDoH (c-statistic 0.723) and business-level SDoH (c-statistics 0.723) to Model 1 had minimal improvement in model discrimination. Structural racism variables were associated with all-cause mortality for black participants but did not improve model discrimination compared with Model 1 (p=0.175).

CONCLUSION

In conclusion, SDoH can improve mortality prediction over 10 years relative to a baseline model and have the potential to identify high-risk patients for further evaluation or intervention if validated externally.

Craniofacial Assault Against Women: A National Evaluation Defining At-risk Populations and Outcomes

INTRODUCTION

Few studies have analyzed epidemiologic factor associated with female patients presenting to the emergency department from facial fractures because of assault. Clearly understanding these factors may assist in developing effective strategies to decrease the incidence and sequelae of these injuries.

OBJECTIVES

To determine the epidemiology of facial fractures because of assault in the female population.

METHODS

All female facial fracture visits were queried in the 2019 Nationwide Emergency Department (ED) Sample database. The likelihood of a facial fracture encounter resulting from assault was modeled using logistic regression adjusting for demographics, insurance status, geographic region, location of patient residence, and income. Secondary outcomes analyzed hospitalization costs and adverse events.

RESULTS

Of all facial fractures 12.4% of female encounters were due to assault were due to assault. Of assaulted females, 72.8% were between the ages of 20 and 40, and Black women experienced a disproportionate share of assault encounters (odds ratio [OR]=2.55; CI, 2.29-2.84). A large portion (46.4%) of encounters occurred in patients living in the lowest quartile of median household income, and 22.8% of patients were uninsured (OR=1.34; CI, 1.09-1.66). Assaulted patients were more likely to have fractures in nasal bone (58.1% vs. 42.5%), orbit (16.8% vs. 10.9%), zygoma (4.1% vs 3.6%), and mandible (8.7% vs. 4.8%) compared with their nonassaulted counterparts.

CONCLUSIONS

Facial fractures were especially common in lower income, uninsured, urban, and Black populations. Examining the patterns of injury and presentation are critical to improve prevention strategies and screening tools, identifying critical patients, and develop a more efficient and effective system to treat and support female patients suffering facial fractures secondary to assault.

The Future of School Health Education in the United States: An Ontology

BACKGROUND

As summarized in this article, the widespread implementation of modern school health education (SHE) could become one of the most effective means available to improve the well-being of people in the United States and in other nations. However, the development and evolution of SHE largely remains unorganized, underdeveloped, and neglected by health and education agencies, policymakers, and the public.

METHODS

Essential to the development of any scientific discipline, scientists today use the word ontology to refer to efforts to organize knowledge in particular domains. A useful working definition of a scientific ontology is an explicit, formal specification of a shared conceptualization-a systematic set of shared terms and an explication of their interrelationships. Nine interdependent questions are outlined to help guide the development of an initial, broad, and actionable scientific ontology for SHE.

RESULTS

Whether and how we respond to these questions arguably will determine the future of SHE research, policy, practice, and equity in the United States.

CONCLUSIONS

An initial ontology might help conceptualize, inform, and facilitate more systematic and strategic local, state, national, and international deliberations and actions to improve SHE.

A Hexagonal Aim as a Driver of Change for Health Care and Health Insurance Systems

Policy Points Improving health systems requires simultaneous pursuit of a patient centered approach aligned with the health professional: improving the experience of care, improving the health of populations, reducing per capita costs of care - Triple Aim - and improving the work life of the care providers - Quadruple Aim -. Reinforcing the recently defined Fifth Aim as equity through "health democracy" to represent the wants, needs and responsibility of the population in taking care of their health and their healthcare. Adding a Sixth Aim to take into account the increased health risks due to climate change.

CONTEXT

Improving health systems, such as the U.S. or French, requires simultaneous pursuit of a patient centered approach aligned with the health professional: improving the experience of care, improving the health of populations, reducing per capita costs of care - Triple Aim - and improving the work life of the care providers, including clinicians and staff - Quadruple Aim -. While these aims are already ambitious, they may be insufficient when considering the economic, social and environmental challenges to the health of our communities in the near and long term.

METHODS

A conceptual framework to provide additional ethical guardrails for health systems.

RESULTS

Recently, authors have articulated a Fifth Aim and we propose to add a Sixth Aim to the Quadruple Aim model. These additional aims are meant to account for our growing knowledge around the determinants of health and the challenging processes and structures of governance across a wide range of sectors in society including healthcare. We are strengthening the Fifth Aim defined as equity through "health democracy" to represent the wants, needs and responsibility of the population in taking care of their health and their healthcare. The Sixth Aim is to account for the increase in risk to population health due to climate change as well as the impact our health systems have on the environment.

CONCLUSIONS

As social tension and environmental changes seem to continue to impact the structure of our society this "Hexagonal Aim" taken together might provide additional ethical guiderails as we set our healthcare goals.

An Analysis of the Social Determinants of Health in South Carolina's I-95 Corridor

BACKGROUND

One in four South Carolinians lives in a county along a nearly 200-mile stretch of Interstate 95 (I-95). Stretching from North Carolina to Georgia, this region is among the most rural, economically depressed, and racially/ethnically diverse in the state. Research is needed to identify social factors contributing to adverse health outcomes along the I-95 corridor, guide interventions, and establish a baseline for measuring progress. This study assessed social determinants of health in counties in South Carolina's I-95 corridor relative to the rest of the state.

METHOD

Data for South Carolina's 46 counties were extracted from the Centers for Disease Control and Prevention Minority Health Social Vulnerability Index (SVI), which grouped 34 census variables into six themes: socioeconomic status, household composition and disability, minority status and language, housing type and transportation, health care infrastructure, and medical vulnerability. Each theme was ranked from 0 (least vulnerable) to 1 (most vulnerable). Measures between regions were compared using the Wilcoxon-Mann-Whitney test.

RESULTS

Compared with counties outside the I-95 corridor (n = 29), counties in the corridor (n = 17) scored higher on socioeconomic status vulnerability (.67 and .82, respectively) and medical vulnerability (.65 and .79, respectively). No statistically significant differences were found across other themes.

CONCLUSION

Identifying social determinants of health in South Carolina's I-95 corridor is a crucial first step toward alleviating health disparities in this region. Interventions and policies should be developed in collaboration with local stakeholders to address distal social factors that create and reinforce health disparities.

Tribulations and future opportunities for artificial intelligence in precision medicine

Upon a diagnosis, the clinical team faces two main questions: what treatment, and at what dose? Clinical trials' results provide the basis for guidance and support for official protocols that clinicians use to base their decisions. However, individuals do not consistently demonstrate the reported response from relevant clinical trials. The decision complexity increases with combination treatments where drugs administered together can interact with each other, which is often the case. Additionally, the individual's response to the treatment varies with the changes in their condition. In practice, the drug and the dose selection depend significantly on the medical protocol and the medical team's experience. As such, the results are inherently varied and often suboptimal. Big data and Artificial Intelligence (AI) approaches have emerged as excellent decision-making tools, but multiple challenges limit their application. AI is a rapidly evolving and dynamic field with the potential to revolutionize various aspects of human life. AI has become increasingly crucial in drug discovery and development. AI enhances decision-making across different disciplines, such as medicinal chemistry, molecular and cell biology, pharmacology, pathology, and clinical practice. In addition to these, AI contributes to patient population selection and stratification. The need for AI in healthcare is evident as it aids in enhancing data accuracy and ensuring the quality care necessary for effective patient treatment. AI is pivotal in improving success rates in clinical practice. The increasing significance of AI in drug discovery, development, and clinical trials is underscored by many scientific publications. Despite the numerous advantages of AI, such as enhancing and advancing Precision Medicine (PM) and remote patient monitoring, unlocking its full potential in healthcare requires addressing fundamental concerns. These concerns include data quality, the lack of well-annotated large datasets, data privacy and safety issues, biases in AI algorithms, legal and ethical challenges, and obstacles related to cost and implementation. Nevertheless, integrating AI in clinical medicine will improve diagnostic accuracy and treatment outcomes, contribute to more efficient healthcare delivery, reduce costs, and facilitate better patient experiences, making healthcare more sustainable. This article reviews AI applications in drug development and clinical practice, making healthcare more sustainable, and highlights concerns and limitations in applying AI.

Chronic disease prevention and screening outcomes for patients with and without financial difficulty: a secondary analysis of the BETTER WISE cluster randomised controlled trial

OBJECTIVE

Building on Existing Tools To improvE chronic disease pRevention and screening in primary care Wellness of cancer survIvorS and patiEnts (BETTER WISE) was designed to assess the effectiveness of a cancer and chronic disease prevention and screening (CCDPS) programme. Here, we compare outcomes in participants living with and without financial difficulty.

DESIGN

Secondary analysis of a cluster-randomised controlled trial.

SETTING

Patients of 59 physicians from 13 clinics enrolled between September 2018 and August 2019.

PARTICIPANTS

596 of 1005 trial participants who responded to a financial difficulty screening question at enrolment.

INTERVENTION

1-hour CCDPS visit versus usual care.

OUTCOME MEASURES

Eligibility for a possible 24 CCDPS actions was assessed at baseline and the primary outcome was the percentage of eligible items that were completed at 12-month follow-up. We also compared the change in response to the financial difficulty screening question between baseline and follow-up.

RESULTS

55 of 265 participants (20.7%) in the control group and 69 of 331 participants (20.8%) in the intervention group reported living with financial difficulty. The primary outcome was 29% (95% CI 26% to 33%) for intervention and 23% (95% CI 21% to 26%) for control participants without financial difficulty (p=0.01). Intervention and control participants with financial difficulty scored 28% (95% CI 24% to 32%) and 32% (95% CI 27% to 38%), respectively (p=0.14). In participants who responded to the financial difficulty question at both time points (n=302), there was a net decrease in the percentage of participants who reported financial difficulty between baseline (21%) and follow-up (12%, p<0.001) which was similar in the control and intervention groups. The response rate to this question was only 51% at follow-up.

CONCLUSION

The BETTER intervention improved uptake of CCDPS manoeuvres in participants without financial difficulty, but not in those living with financial difficulty. Improving CCDPS for people living with financial difficulty may require a different clinical approach or that social determinants be addressed concurrently with clinical and lifestyle needs or both.

TRIAL REGISTRATION NUMBER

ISRCTN21333761.

Precision Medicine-Are We There Yet? A Narrative Review of Precision Medicine's Applicability in Primary Care

Precision medicine (PM), also termed stratified, individualised, targeted, or personalised medicine, embraces a rapidly expanding area of research, knowledge, and practice. It brings together two emerging health technologies to deliver better individualised care: the many "-omics" arising from increased capacity to understand the human genome and "big data" and data analytics, including artificial intelligence (AI). PM has the potential to transform an individual's health, moving from population-based disease prevention to more personalised management. There is however a tension between the two, with a real risk that this will exacerbate health inequalities and divert funds and attention from basic healthcare requirements leading to worse health outcomes for many. All areas of medicine should consider how this will affect their practice, with PM now strongly encouraged and supported by government initiatives and research funding. In this review, we discuss examples of PM in current practice and its emerging applications in primary care, such as clinical prediction tools that incorporate genomic markers and pharmacogenomic testing. We look towards potential future applications and consider some key questions for PM, including evidence of its real-world impact, its affordability, the risk of exacerbating health inequalities, and the computational and storage challenges of applying PM technologies at scale.

Healthcare and Social Needs Assessment and Response Quality Among Black Men

To understand Black men's healthcare and social needs and determine if the resources that healthcare systems offer meet expectations. We surveyed men who had previously participated in at least one Minority Men's Health Fair in Cleveland, Ohio. In this descriptive study, we spoke with men up to three times (i.e., phases) between May and October 2020 by email and/or telephone. Phase 1 was a needs assessment survey. Phase 2 involved outreach to those who identified a need to provide a resource. Phase 3 determined whether the resource met individuals' needs. We described the demographic characteristics of the survey respondents, the percentage of men reporting a need and wanting a resource, and whether the resource resolved their need. Of the 768 men contacted, 275 completed the survey (36% response rate). The majority of respondents were 50-69 years old, identified as Black, and had at least a bachelor's degree. Eighty-five percent reported a need, of which wellness, financial, and healthcare access were among the top-reported needs. Among the men identifying a need, 35% were interested in a resource. Resources that were provided for employment, behavioral health, oral health, vision, or wellness needs were deemed insufficient. A few individuals reported that resources for food/personal hygiene, financial support, health care access, annual health screening, and medication met their needs. Among men with healthcare and social needs, only a fraction were interested in a resource, and fewer reported that the resource met their needs. These results warrant a greater understanding of what constitutes a resolution of healthcare and social needs from patients' perspectives.

Athletic Trainers' Familiarity, Comfort, Knowledge, and Recognition of Social Determinants of Health

CONTEXT

Social determinants of health (SDOH)-education, transportation, housing, employment, health systems and services, economic status, and physical and social environments-influence patient outcomes; therefore, athletic trainers (ATs) need to understand and address these factors. However, little is known about how ATs perceive SDOH or how knowledgeable they are about social factors that contribute to patient health and well-being.

OBJECTIVE

To evaluate ATs' familiarity and comfort with SDOH and their perceived knowledge and recognition of SDOH.

DESIGN

Cross-sectional study.

SETTING

Online survey.

PATIENTS OR OTHER PARTICIPANTS

Our survey was distributed to 17 000 ATs; 1829 accessed it (access rate = 10.8%), and 1694 completed it (completion rate = 92.6%, AT experience = 15.2 ± 10.6 years, age = 36.6 ± 10.8 years).

MAIN OUTCOME MEASURE(S)

The survey included multipart questions that evaluated ATs' perceptions of their familiarity, comfort, and knowledge about SDOH. Data were summarized using descriptive statistics.

RESULTS

Few respondents (4.1%, 70/1691) reported being extremely familiar with SDOH. Most indicated being moderately familiar (45.0%, 761/1691), minimally familiar (34.7%, 587/1691), or not familiar at all (16.1%, 273/1691). For questions about comfort, few described being extremely comfortable (3.5%, 59/1691) with SDOH, and most reported being moderately comfortable (35.4%, 598/1691), minimally comfortable (41.1%, 695/1691), or not comfortable at all (18.6%, 314/1691). For questions about knowledge, few indicated being extremely knowledgeable (2.7%, 46/1686) about SDOH, and the majority described being moderately (36.8%, 622/1686), minimally (41.8%, 704/1686), or not knowledgeable at all (18.6%, 314/1686). Over half of ATs accurately categorized 8 of the 9 SDOH listed in the survey, and 22% endorsed more correct than incorrect items.

CONCLUSIONS

A majority of ATs perceived their familiarity, comfort, and knowledge about SDOH to be moderate to low, which may reflect the relatively recent emphasis on SDOH in athletic health care. Because SDOH can have a major effect on patient health and well-being, strategies should be developed for educating ATs about SDOH. Developing strategies to increase comfort with SDOH in patient care is critical to ensure that those factors that can be addressed at the patient level are identified and managed.

Evaluating the Impact of a Pediatric Inpatient Social Care Program in a Community Hospital

OBJECTIVES

To evaluate the impact of implementing a stakeholder-informed social risk screening and social service referral system in a community hospital setting.

METHODS

We implemented a stakeholder-informed social care program at a community hospital in April 2022. The evaluation included patients aged 0 to 17 years admitted to the pediatric unit between April 2021 and March 2022 (1 year preimplementation) and between April 2022 and March 2023 (1 year postimplementation). For a random subset of 232 preimplementation and 218 postimplementation patients, we performed manual data extraction, documenting program process measures and preliminary effectiveness outcomes. We used χ square and Wilcoxon rank tests to compare outcomes between the preimplementation and postimplementation groups. Multivariable logistic regression was used to assess the preliminary effectiveness of the social care program in identifying social risks.

RESULTS

Screening rates were higher in the postimplementation group for nearly all social domains. Compared with preimplementation, the postimplementation group had higher rates of social risks identified (17.4% vs 7.8% [P < .01]: adjusted odds ratio 2.9 [95% confidence interval 1.5-5.5]) on multivariate testing. Social work consults were completed more frequently and earlier for the postimplementation group (13.8.% vs 5.6% [P < .01]) and median (19 hours vs 25 hours [P = .03]), respectively. Rates of communication of social risks in discharge summaries were higher in the postimplementation group (46.8% vs 8.2% [P < .001]).

CONCLUSIONS

The implementation of a stakeholder-informed social care program within a community hospital setting led to the increased identification of social risks and social work consultations and improved timeliness of social work consultations and written communication of social risks in discharge summaries for primary care providers.

Do healthcare providers consider the social determinants of health? Results from a nationwide cross-sectional study in the United States

BACKGROUND

While the social determinants of health (SDOH) have a greater impact on individual health outcomes than the healthcare services a person receives, healthcare providers face barriers to addressing these factors in clinical settings. Previous studies have shown that providers often lack the necessary knowledge and resources to adequately screen for and otherwise assist patients with unmet social needs. This study explores the perceptions and behaviors related to SDOH among healthcare providers in the United States (US).

METHODS

This cross-sectional study analyzed data from a 22-item online survey using Reaction Data's research platform of healthcare professionals in the US. Survey items included demographic questions as well as Likert scale questions about healthcare providers' perceptions and behaviors related to SDOH. Descriptive statistics were calculated, and further analyses were conducted using t-tests and analysis of variance.

RESULTS

A total of 563 respondents completed the survey, with the majority being male (72.6%), White (81%), and located in urban areas (82.2%). In terms of perceptions, most providers agreed or strongly agreed that SDOH affect the health outcomes of all patients (68.5%), while only 24.1% agreed or strongly agreed that their healthcare setting was set up to address SDOH. In terms of behavior, fewer than half currently screened for SDOH (48.6%) or addressed (42.7%) SDOH in other ways. Most providers (55.7%) wanted additional resources to focus on SDOH. Statistical analyses showed significant differences by gender, with females being more likely than males to prioritize SDOH, and by specialty, with psychiatrists, pediatricians, and family/general medicine practitioners being more likely to prioritize SDOH.

CONCLUSION

Most healthcare providers understand the connection between unmet social needs and their patients' health, but they also feel limited in their ability to address these issues. Ongoing efforts to improve medical education and shift the healthcare system to allow for payment and delivery of more holistic care that considers SDOH will likely provide new opportunities for healthcare providers. In addition to what they can do at the institutional and patient levels, providers have the potential to advocate for policy and system changes at the societal level that can better address the root causes of social issues.

Building Local Capacity in a Low-Resource Setting to Increase Access to Health Care: An Evaluation of Blood Pressure Monitoring Training

Cardiovascular risk factors such as hypertension are common and largely uncontrolled in Malawi. In this low-resource setting, Community Health Workers (CHWs) can increase access to home-based blood pressure (BP) monitoring. The purpose of this study is to evaluate the effectiveness of a CHW training focused on BP monitoring and referral criteria, as well as the accuracy of referral decision-making and documentation. The participants were a purposive sample of all active home-based palliative care CHWs at St. Gabriel's Hospital (n = 60) located in Namitete, Malawi, serving over 250,000 people within a 50 km radius. This was a retrospective cross-sectional study conducted in December 2020 using both quantitative (descriptive, paired t-test) and qualitative (thematic) analysis. Participants showed significantly greater knowledge on the post-test (M = 8.98, SD = 1.213) compared to the pretest (M = 7.96, SD = 1.231), t (54)-5.0557.475, p < .001. All participants who attended both days of training demonstrated competency on a skills checklist in 100% of the rehabilitation and BP monitoring skills taught. Through document analysis of record books, referral decisions for patients with hypertension were 87.57% accurate and 81.07% of entries (n = 713) were complete. Participants reported the lack of both transportation and equipment as barriers to their work. They reported trainings, supplies, and support from the hospital as facilitators to their work. This study shows that BP can be monitored in remote villages, accurate referrals can be made, and stroke prevention education can be provided. These interventions increase the chances of more equitable care for this vulnerable population in a resource-limited setting.

Prevalence and Spatial Autocorrelation of Tuberculosis in Indigenous People in Brazil, 2002-2022

Tuberculosis (TB) among indigenous populations in Brazil poses a multifaceted public health challenge influenced by geographical, social, institutional, economic, and cultural factors. This study scrutinized the prevalence and spatial distribution of TB among Brazilian indigenous communities from 2002 to 2022. Employing a cross-sectional and descriptive approach, we analyzed data from the Notifiable Diseases Information System (SINAN) and conducted spatial autocorrelation tests to identify clusters and outliers. The findings uncovered substantial disparities in TB prevalence between the North and Central-West regions, in contrast to the South and Southeast, mirroring social, economic, and cultural inequalities in Brazil. It is concluded that public health strategies should not only consider the epidemiological aspects of TB but also encompass social and environmental determinants, notably the impact of climate change. Holistic and context-sensitive approaches are imperative for addressing TB within indigenous communities, underscoring the need for adaptive and culturally sensitive interventions in the public health landscape.

Evaluation of the Predictive Value of Routinely Collected Health-Related Social Needs Measures

The objective was to assess the value of routinely collected patient-reported health-related social needs (HRSNs) measures for predicting utilization and health outcomes. The authors identified Mayo Clinic patients with cancer, diabetes, or heart failure. The HRSN measures were collected as part of patient-reported screenings from June to December 2019 and outcomes (hospitalization, 30-day readmission, and death) were ascertained in 2020. For each outcome and disease combination, 4 models were used: gradient boosting machine (GBM), random forest (RF), generalized linear model (GLM), and elastic net (EN). Other predictors included clinical factors, demographics, and area-based HRSN measures-area deprivation index (ADI) and rurality. Predictive performance for models was evaluated with and without the routinely collected HRSN measures as change in area under the curve (AUC). Variable importance was also assessed. The differences in AUC were mixed. Significant improvements existed in 3 models of death for cancer (GBM: 0.0421, RF: 0.0496, EN: 0.0428), 3 models of hospitalization (GBM: 0.0372, RF: 0.0640, EN: 0.0441), and 1 of death (RF: 0.0754) for diabetes, and 1 model of readmissions (GBM: 0.1817), and 3 models of death (GBM: 0.0333, RF: 0.0519, GLM: 0.0489) for heart failure. Age, ADI, and the Charlson comorbidity index were the top 3 in variable importance and were consistently more important than routinely collected HRSN measures. The addition of routinely collected HRSN measures resulted in mixed improvement in the predictive performance of the models. These findings suggest that existing factors and the ADI are more important for prediction in these contexts. More work is needed to identify predictors that consistently improve model performance.

Designing complex interventions: A description of the development of an intervention to reduce inequalities in planned dental visiting

There are multifaceted reasons for a social gradient in planned dental visiting involving various psycho-social variables that interact with each other and the environment. Interventions in this area are therefore inevitably complex interventions. While guidance recommends undertaking theory and modelling work before experimental work is done, there is a shortage of descriptions of how this is done, especially in the field of oral health.

OBJECTIVES

To describe theory, qualitative and public engagement work, and identification of behaviour change techniques (BCTs) to define features of an opportunistic dental visiting intervention for adult users of urgent dental care services.

METHODS

A systematic review and synthesis of theory, qualitative and quantitative work, along with expert input, generated a list of psycho-social determinants linked to planned dental visiting intentions. Modelling involved ethnographic work in urgent dental care settings and work with members of the community from the targeted demographic. This enabled verification, in the context of their idiosyncratic expression for the target population in question, of behavioural determinants (BDs) identified in the theory phase. It also facilitated generating intervention material which was infused with the identity of the end user. BDs identified were then mapped to BCTs using an accepted BCT taxonomy and an intervention prototype developed. The prototype then underwent iterative testing with target users before it was ready for a feasibility trial.

RESULTS

Theory and modelling identified five key intervention focuses: affordable resources (time/ cost), the importance of oral health, trust in dentists, embarrassment of having poor oral health and dental anxiety. Short videos were developed to incorporate role modelling which were well received. Prototype testing resulted in shifting from 'if-then' plans to action planning.

CONCLUSIONS

Complex intervention development involves an iterative rather than sequential process of combining theory, empirical work and user involvement, of which the article provides an example.

Social Determinants of Health: An Overview for the Primary Care Provider

Social determinants of health (SDoH) are reflected in how people live (access to health care, economic stability, built environment, food security, climate), learn (the educational environment), work (occupational environment), and play/socialize (social context and digital domain). All of these day-to-day conditions play a vital role in a patient's overall health, and a primary care provider should be prepared to understand their role to screen, assess, and address SDoH in clinical practice.

Converging global health agendas and universal health coverage: financing whole-of-government action through UHC

UN member states have committed to universal health coverage (UHC) to ensure all individuals and communities receive the health services they need without suffering financial hardship. Although the pursuit of UHC should unify disparate global health challenges, it is too commonly seen as another standalone initiative with a singular focus on the health sector. Despite constituting the cornerstone of the health-related Sustainable Development Goals, UHC-related commitments, actions, and metrics do not engage with the major drivers and determinants of health, such as poverty, gender inequality, discriminatory laws and policies, environment, housing, education, sanitation, and employment. Given that all countries already face multiple competing health priorities, the global UHC agenda should be used to reconcile, rationalise, prioritise, and integrate investments and multisectoral actions that influence health. In this paper, we call for greater coordination and coherence using a UHC+ lens to suggest new approaches to funding that can extend beyond biomedical health services to include the cross-cutting determinants of health. The proposed intersectoral co-financing mechanisms aim to support the advancement of health for all, regardless of countries' income.

Government, governance, and place-based approaches: lessons from and for public policy

BACKGROUND

Place-based approaches are increasingly applied to address the determinants of health, many of which are complex problems, to ultimately improve population health outcomes. Through public policy, government actions can affect the effectiveness of place-based approaches by influencing the conceptualisation, development, implementation, governance, and/or evaluation of place-based approaches. Despite the important role of public policy, there has been limited examination of public policy related to place-based approaches. We add to the limited knowledge base by analysing Australian national public policy, to explore: (1) the definitions, conceptualisations, and characteristics of place-based approaches in public policy; (2) the government's perception and communication of its role in place-based approaches; and (3) the extent to which government policy reflects the necessary conditions for successful place-based governance developed by Marsh and colleagues, namely localised context, embedded learning, and reciprocal accountability.

METHODS

This research was underpinned by the Theory of Systems Change and methodologically informed by the READ approach to document analysis. Ritchie and Spencer's framework method was utilised to analyse the data.

RESULTS

We identified and reviewed 67 policy documents. In terms of conceptualisation, common characteristics of place-based approaches related to collaboration, including community in decision-making, responsiveness to community needs, and suitability of place-based approaches to address complex problems and socio-economic determinants of health. Three roles of government were identified: funder, partner, and creator of a supportive policy environment. From the three criteria for successful place-based governance, localised context was the most dominant across the documents and reciprocal accountability the least.

CONCLUSIONS

Based on our findings, we drew key implications for public policy and research. There was a disproportionate emphasis on the bottom-up approach across the documents, which presents the risk of diminishing government interest in place-based approaches, potentially burdening communities experiencing disadvantage beyond their capacities. Governments engaged in place-based approaches should work towards a more balanced hybrid approach to place-based approaches that maintain the central functions of government while allowing for successful place-based governance. This could be achieved by promoting consistency in conceptualisations of 'place-based', employing an active role in trust building, advancing the creation of a supportive policy environment, and embedding 'learning' across place-based approaches.

Impact of Social Vulnerability on Diabetes-Related Cardiovascular Mortality in the United States

Background Social vulnerability impacts the natural history of diabetes as well as cardiovascular disease (CVD). However, there are little data regarding the social vulnerability association with diabetes-related CVD mortality. Methods and Results County-level mortality data (where CVD was the underlying cause of death with diabetes among the multiple causes) extracted from the Centers for Disease Control multiple cause of death (2015-2019) and the 2018 Social Vulnerability Index databases were aggregated into quartiles based on their Social Vulnerability Index ranking from the least (first quartile) to the most vulnerable (fourth quartile). Stratified by demographic groups, the data were analyzed for overall CVD, as well as for ischemic heart disease, hypertensive disease, heart failure, and cerebrovascular disease. In the 5-year study period, 387 139 crude diabetes-related cardiovascular mortality records were identified. The age-adjusted mortality rate for CVD was higher in the fourth quartile compared with the first quartile (relative risk [RR], 1.66 [95% CI, 1.64-1.67]) with an estimated 39 328 excess deaths. Among the youngest age group (<55 years), those with the highest social vulnerability had 2 to 4 times the rate of cardiovascular mortality compared with the first quartile: ischemic heart disease (RR, 2.07 [95% CI, 1.97-2.17]; heart failure (RR, 3.03 [95% CI, 2.62-3.52]); hypertensive disease (RR, 3.79 [95% CI, 3.45-4.17]; and cerebrovascular disease (RR, 4.39 [95% CI, 3.75-5.13]). Conclusions Counties with greater social vulnerability had higher diabetes-related CVD mortality, especially among younger adults. Targeted health policies that are designed to reduce these disparities are warranted.

What Are Healthy Societies? A Thematic Analysis of Relevant Conceptual Frameworks

BACKGROUND

While support for the idea of fostering healthy societies is longstanding, there is a gap in the literature on what they are, how to beget them, and how experience might inform future efforts. This paper explores developments since Alma Ata (1978) to understand how a range of related concepts and fields inform approaches to healthy societies and to develop a model to help conceptualize future research and policy initiatives.

METHODS

Drawing on 68 purposively selected documents, including political declarations, commission and agency reports, peer-reviewed papers and guidance notes, we undertook qualitative thematic analysis. Three independent researchers compiled and categorised themes describing the domains of a potential healthy societies approach.

RESULTS

The literature provides numerous frameworks. Some of these frameworks promote alternative endpoints to development, eschewing short-term economic growth in favour of health, equity, well-being and sustainability. They also identify values, such as gender equality, collaboration, human rights and empowerment that provide the pathways to, or underpin, such endpoints. We categorize the literature into four "components": people; places; products; and planet. People refers to social positions, interactions and networks creating well-being. Places are physical environments-built and natural-and the interests and policies shaping them. Products are commodities and commercial practices impacting population health. Planet places human health in the context of the 'Anthropocene.' These components interact in complex ways across global, regional, country and community levels as outlined in our heuristic.

CONCLUSION

The literature offers little critical reflection on why greater progress has not been made, or on the need to organise and resist the prevailing systems which perpetuate ill-health.

Socio-clinical Phenotyping in Patients with Atherosclerotic Cardiovascular Disease: A Latent Class Analysis

In a common disease population such as atherosclerotic cardiovascular disease (ASCVD), latent classes may uncover subgroups of patients that can be distinguished by combinations of several factors instead of a single factor. In this study, we sought to identify clinical, demographic, and social sub-phenotypes of ASCVD, using latent class analysis (LCA), and assess the risk of all-cause and cardiovascular mortality across the identified socio-clinical classes. LCA is a statistical technique employed to uncover hidden class divisions within a set of individuals by utilizing a mix of categorical and/or continuous observed variables. Using the National Health Interview Survey (NHIS) between 2013 and 2018, a nationwide self-reported survey, linked to the National Mortality Index (NDI), we included participants 18 years and older who reported a history of ASCVD in the US. The main outcome of this study is all-cause and cardiovascular mortality. There were 17,807 patients with a mean (standard deviation, SD) age of 66.9 (13.5). In summary, the three classes derived from LCA can be described as follows: Class 1 is characterized by non-Hispanic White individuals with a low comorbidity burden, Class 2 consists of older individuals with a higher proportion of men, and Class 3 includes younger individuals, predominantly non-Hispanic Black and Hispanic, with a greater burden of comorbidities. In multivariable models, the adjusted Hazard ratio (aHR) with 95% confidence intervals (95% CIs) were 1.678 (1.458-1.930) in class 2 and 2.255 (1.931-2.633) in class 3 (p<0.001) for the all-cause long-term mortality. ASCVD sub-phenotype (latent class) of younger, female, non-Hispanic Black or Hispanic individuals with a high burden of comorbidities and unfavorable SDoH was associated with the highest risk of mortality compared with other classes. Our approach may inform future work to understand the heterogeneity among demographic, clinical and social risk factors in the ASCVD population, and classify mortality risk based on these key population characteristics.

Five Domains of a Conceptual Framework of Continuing Professional Development

ABSTRACT

Continuing professional development (CPD) for health professionals involves efforts at improving health of individuals and the population through educational activities of health professionals who previously attained a recognized level of acceptable proficiency (licensure). However, those educational activities have inconsistently improved health care outcomes of patients. We suggest a conceptual change of emphasis in designing CPD to better align it with the goals of improving health care value for patients through the dynamic incorporation of five distinct domains to be included in learning activities. We identify these domains as: (1) identifying, appraising, and learning new information [New Knowledge]; (2) ongoing practicing of newly or previously acquired skills to maintain expertise [New Skills and Maintenance]; (3) sharing and transfer of new learning for the health care team which changes their practice [Teams]; (4) analyzing data to identify problems and drive change resulting in improvements in the health care system and patient outcomes [Quality Improvement]; and (5) promoting population health and prevention of disease [Prevention]. We describe how these five domains can be integrated into a comprehensive conceptual framework of CPD, supported by appropriate learning theories that align with the goals of the health care delivery system. Drawing on these distinct but interrelated areas of CPD will help organizers and directors of learning events to develop their activities to meet the goals of learners and the health care system.

Integrating Social Care into Healthcare: A Review on Applying the Social Determinants of Health in Clinical Settings

Despite the substantial health and economic burdens posed by the social determinants of health (SDH), these have yet to be efficiently, sufficiently, and sustainably addressed in clinical settings-medical offices, hospitals, and healthcare systems. Our study contextualized SDH application strategies in U.S. clinical settings by exploring the reasons for integration and identifying target patients/conditions, barriers, and recommendations for clinical translation. The foremost reason for integrating SDH in clinical settings was to identify unmet social needs and link patients to community resources, particularly for vulnerable and complex care populations. This was mainly carried out through SDH screening during patient intake to collect individual-level SDH data within the context of chronic medical, mental health, or behavioral conditions. Challenges and opportunities for integration occurred at the educational, practice, and administrative/institutional levels. Gaps remain in incorporating SDH in patient workflows and EHRs for making clinical decisions and predicting health outcomes. Current strategies are largely directed at moderating individual-level social needs versus addressing community-level root causes of health inequities. Obtaining policy, funding, administrative and staff support for integration, applying a systems approach through interprofessional/intersectoral partnerships, and delivering SDH-centered medical school curricula and training are vital in helping individuals and communities achieve their best possible health.

Understanding the efficiency of "political attention and governance action" on marine waste discharge in the coastal provinces in China

This study examines the "black box" of the policy process by evaluating the efficiency of "political attention and governance action" as a two-stage continuum and investigating the influencing factors in marine waste discharge governance. The results of empirical analysis in the 11 Chinese coastal provincial regions suggest that the overall efficiency fluctuated from 1999 to 2016 with a minor reduction. The developed provinces such as Jiangsu, Zhejiang, Shanghai and Guangdong have low efficiency in overall evaluation. In the first stage, the transferring efficiency from political attention to actions does not change considerably despite fluctuations in 2012-2016. The second-stage efficiency, or the efficiency of the governance actions, has been declining since 2008 except for a brief spike in 2014. There exists a feedback impact between the two stages. Economic competition, as measured by the average GDP of neighbouring provinces, has more negative impacts on the first-stage efficiency.

The Vermont Family Based Approach in Primary Care Pediatrics: Effects on Children's and Parents' Emotional and Behavioral Problems and Parents' Health-Related Quality of Life

This randomized controlled trial tested the Vermont Family Based Approach (VFBA) in primary care pediatrics. The VFBA is a model of healthcare delivery that shifts the focus from the individual to the family, emphasizes emotional and behavioral health, and uses evidence-based health promotion/prevention along with the treatment of emotional and behavioral problems. Participants were 81 families of 3-15-year-olds. For children, the VFBA was associated with greater reductions than the Control condition on the Child Behavior Checklist Emotionally Reactive, Withdrawn, Sleep Problems, Aggressive Behavior and Total Problems scales. For parents, the VFBA was associated with greater reductions than the Control condition on the Adult Self-Report Anxious/Depressed, Rule-Breaking Behavior, Internalizing Problems and Total Problems scales. The VFBA was also associated with greater improvement than the Control condition in the parents' health-related quality of life, as indicated by all scales of the Medical Outcomes Study Health Survey.

Bidirectional processes linking social determinants of health and pediatric sickle cell anemia management: A qualitative study

BACKGROUND

Children with sickle cell anemia (SCA) have substantial medical needs and more unmet basic needs than children with other medical conditions. Despite a recent focus on social determinants of health (SDoH), there remains an incomplete understanding of the processes linking SDoH and disease management, particularly for youth with SCA. This study elucidated these processes and identified ways to mitigate deleterious effects of adverse SDoH on SCA management.

METHODS

Parents/primary caregivers (N = 27) of children with SCA (≤12 years old) participated in semi-structured interviews regarding SCA management and SDoH and completed quantitative measures of basic needs. Qualitative data were systematically coded and analyzed using applied thematic analysis. Quantitative data were presented descriptively.

RESULTS

Three qualitative themes were identified. First, SCA management is bidirectionally linked with the social environment, whereby challenges of SCA management can hinder basic needs from being met, and unmet basic needs and financial hardship hinder SCA management. Second, due to limited resources, parents/caregivers are faced with difficult choices between prioritizing basic needs versus SCA management. Third, addressing material, emotional, and informational needs may improve SCA management. Quantitatively, 73% of families endorsed ≥1 basic need, including food insecurity (42%), housing instability (62%), and/or energy insecurity 19% (vs. 20%).

CONCLUSION

Despite documented associations, there remains a poor understanding of the processes linking SDoH and health. Findings underscore how day-to-day conditions undermine the management of SCA treatments, symptoms, and complications, limiting treatment effectiveness. Understanding these processes may inform family-centered, health equity interventions and policies to improve living conditions, disease management, and health outcomes.

Advocacy in neonatology: current issues and introduction to the series

Advocacy is an increasingly important skill for neonatologists. As social factors play a greater influence on short & long-term newborn outcomes, neonatal physicians must be attentive to policy factors and work to ensure they benefit the health of both patients and the specialty. In this article, we review advocacy issues of current relevance to neonatal practice, including the "Born Alive Executive Order," the "Newborn Screening Saves Lives Act," subspecialty loan repayment and legislation related to donor human milk, as well as introduce topics further discussed as part of the American Academy of Pediatrics Section on Neonatal-Perinatal Medicine Advocacy Series.

Co-Occurrence of Social Risk Factors and Associated Outcomes in Patients With Heart Failure

Background Among patients with heart failure (HF), social risk factors (SRFs) are associated with poor outcomes. However, less is known about how co-occurrence of SRFs affect all-cause health care utilization for patients with HF. The objective was to address this gap using a novel approach to classify co-occurrence of SRFs. Methods and Results This was a cohort study of residents living in an 11-county region of southeast Minnesota, aged ≥18 years with a first-ever diagnosis for HF between January 2013 and June 2017. SRFs, including education, health literacy, social isolation, and race and ethnicity, were obtained via surveys. Area-deprivation index and rural-urban commuting area codes were determined from patient addresses. Associations between SRFs and outcomes (emergency department visits and hospitalizations) were assessed using Andersen-Gill models. Latent class analysis was used to identify subgroups of SRFs; associations with outcomes were examined. A total of 3142 patients with HF (mean age, 73.4 years; 45% women) had SRF data available. The SRFs with the strongest association with hospitalizations were education, social isolation, and area-deprivation index. We identified 4 groups using latent class analysis, with group 3, characterized by more SRFs, at increased risk of emergency department visits (hazard ratio [HR], 1.33 [95% CI, 1.23-1.45]) and hospitalizations (HR, 1.42 [95% CI, 1.28-1.58]). Conclusions Low educational attainment, high social isolation, and high area-deprivation index had the strongest associations. We identified meaningful subgroups with respect to SRFs, and these subgroups were associated with outcomes. These findings suggest that it is possible to apply latent class analysis to better understand the co-occurrence of SRFs among patients with HF.

Relationship Between Unmet Social Needs and Care Access in a Veteran Cohort

BACKGROUND

The association between unmet social needs (e.g., food insecurity) and adverse health outcomes is well-established, especially for patients with and at risk for cardiovascular disease (CVD). This has motivated healthcare systems to focus on unmet social needs. Yet, little is known about the mechanisms by which unmet social needs impact health, which limits healthcare-based intervention design and evaluation. One conceptual framework posits that unmet social needs may impact health by limiting care access, but this remains understudied.

OBJECTIVE

Examine the relationship between unmet social needs and care access.

DESIGN

Cross-sectional study design using survey data on unmet needs merged with administrative data from the Veterans Health Administration (VA) Corporate Data Warehouse (September 2019-March 2021) and multivariable models to predict care access outcomes. Pooled and separate rural and urban logistic regression models were utilized with adjustments from sociodemographics, region, and comorbidity.

SUBJECTS

A national stratified random sample of VA-enrolled Veterans with and at risk for CVD who responded to the survey.

MAIN MEASURES

No-show appointments were defined dichotomously as patients with one or more missed outpatient visits. Medication non-adherence was measured as proportion of days covered and defined dichotomously as adherence less than 80%.

KEY RESULTS

Greater burden of unmet social needs was associated with significantly higher odds of no-show appointments (OR = 3.27, 95% CI = 2.43, 4.39) and medication non-adherence (OR = 1.59, 95% CI = 1.19, 2.13), with similar associations observed for rural and urban Veterans. Social disconnection and legal needs were especially strong predictors of care access measures.

CONCLUSIONS

Findings suggest that unmet social needs may adversely impact care access. Findings also point to specific unmet social needs that may be especially impactful and thus might be prioritized for interventions, in particular social disconnection and legal needs.

Reducing barriers of access and care related to hematopoietic cell transplantation and cellular therapy: The mission-driven role of the national marrow donor program

The treatment of malignant and nonmalignant hematologic disorders continues to benefit from significant scientific advancement and progress in the use of hematopoietic cell transplantation and cellular therapies. However, barriers associated with receiving these lifesaving treatments and care remain, which necessitate innovative approaches to overcome, so all persons in need can receive these therapies. This article reviews barriers to receiving hematopoietic cell transplantation and cellular therapies, and highlights novel approaches taken by the National Marrow Donor Program in reducing barriers for all patients in need.

Current Healthcare Systems in Light of Hyperendemic NCDs and the COVID-19 Pandemic: Time to Change

Despite the significant achievements of current healthcare systems (CHCSs) in curing or treating several acute conditions, there has been far less success coping with noncommunicable diseases (NCDs), which have complex roots and nonconventional transmission vectors. Owing to the impact of the invisible hyperendemic NCDs and the COVID-19 pandemic, the limitations of CHCSs have been exposed. In contrast, the advent of omics-based technologies and big data science has raised global hope of curing or treating NCDs and improving overall healthcare outcomes. However, challenges related to their use and effectiveness must be addressed. Additionally, while such advancements intend to improve quality of life, they can also contribute the ever-increasing health disparity among vulnerable populations, such as low/middle-income populations, poorly educated people, gender-based violence victims, and minority and indigenous peoples, to name a few. Among five health determinants, the contribution of medical care to individual health does not exceed 11%. Therefore, it is time to implement a new well-being-oriented system complementary or parallel to CHCSs that incorporates all five health determinants to tackle NCDs and unforeseen diseases of the future, as well as to promote cost-effective, accessible, and sustainable healthy lifestyle choices that can reduce the current level of healthcare inequity.

Primary care physicians' perceptions of social determinants of health recommendations: a qualitative study

BACKGROUND

Several organisations have called for primary care professionals to address social determinants of health (SDoH) in clinical settings. For primary care physicians to fulfill their community health responsibilities, the implications of the SDoH recommendations need to be clarified.

AIM

To describe primary care physicians' views about being asked to address SDoH in clinical settings, from both positive and negative perspectives.

DESIGN & SETTING

A qualitative study in Japan. Twenty-one physicians were purposively recruited.

METHOD

'Love and breakup letter' methodology was used to collect qualitative data that contained both positive and negative feelings. Participants wrote love and breakup letters about being asked to address SDoH in a clinical setting, then undertook an in-depth online interview. Data were analysed via thematic analysis using the framework approach.

RESULTS

The following themes were identified: (i) primary care physicians take pride in being expected to address SDoH; (ii) primary care physicians rely on the recommendations as a partner, even in difficult situations; (iii) primary care physicians consider the recommendations to be bothersome, with unreasonable demands and challenges, especially when supportive surroundings are lacking; and (iv) primary care physicians reconstruct the recommendations on the basis of their experience.

CONCLUSION

Primary care physicians felt both sympathy and antipathy towards recommendations asking them to address SDoH in their clinical practice. The recommendations were not followed literally, instead contributing to physicians' clinical mindlines. Professional organisations that plan to develop and publish recommendations about SDoH should consider how their recommendations might be perceived by their target audience.