Health Disparities In Populations Research Articles

Development of a multidimensional measure of health care access among LGBTQ midlife and older adults in the United States

PurposeLesbian, gay, bisexual, transgender, and queer (LGBTQ) midlife and older adults are a health disparity population whose health and health care needs are distinguished by the intersection of gender, sexuality, and age. Research and measurement considering multidimensional factors influencing health care access among this population, however, remain limited. Theoretically cohesive indicators of health care access were combined to develop a comprehensive and reliable, yet parsimonious scale that assesses the unique health care access needs and experiences of LGBTQ midlife and older adults. MethodsData from the U.S.-based Aging with Pride: National Health, Aging, and Sexuality/Gender Study (NHAS) were used, including 2322 LGBTQ participants from the 2015 wave of data collection. Twenty-four items were initially included in an assessment of scale reliability. The underlying factor structure of health care access was tested. Differences in mean health care access scores were examined across sexual identity, current gender, gender identity, and age cohort. ResultsNineteen items remained in the final scale (α=0.90). Data supported health care access as multidimensional among NHAS participants. Heterogeneity in health care access scores was identified across participants. Bisexual, straight, and sexually diverse participants, women and gender diverse participants, and transgender participants faced more difficulties accessing care. Participants aged 66–80 and 81+ reported significantly higher health care access scores. ConclusionFinal indicators represented the complex health care experiences of LGBTQ midlife and older adults. This scale can be utilized in future health equity research. Using NHAS longitudinal data, future research could assess changes in access over the life-course and as a predictor of health outcomes.

Population Health Management: A Bibliometric Analysis of Literature on Data Analytics and Public Health Interventions

Population health management (PHM) has emerged as a pivotal strategy in healthcare, aiming to address the health needs of communities while enhancing care quality and outcomes. Recent years have witnessed a surge in research at the intersection of data analytics and public health interventions within the realm of PHM. This paper presents a comprehensive bibliometric analysis of the literature on data analytics and public health interventions in the context of population health management. Through systematic data collection from reputable scholarly databases and rigorous analysis, this study aims to map out the trends, key contributors, and emerging themes shaping the discourse in this domain. The analysis encompasses publication trends, authorship patterns, citation metrics, and network visualizations to provide insights into the landscape of literature. Notable findings include a high citation rate per paper and author, indicative of scholarly interest and collaboration within the research community. Key themes identified include outcomes, interventions, population health improvement, determinants, and health disparities. Additionally, temporal analysis reveals a shift towards non-communicable diseases and the increasing role of data in patient care. The author collaboration network highlights a core cluster of researchers with extensive collaborative ties, alongside peripheral authors and topics representing specialized or nascent areas. The density visualization map identifies potential areas for future research, including health disparities, women's health issues, and geographic-specific studies.

Implications of Health Equity for Children With Disabilities

This Viewpoint discusses how the National Institutes of Health designation of individuals with disabilities as a health disparity population can boost research participation and funding and expand health care access for pediatric patients with disabilities.

Reducing the Risk of Maternal Morbidity and Mortality for Underserved Women

Maternal morbidity and mortality rates have been increasing in the United States. These outcomes are especially devastating for women of color, namely Black women, who are almost three times more likely to die from pregnancy complications, even when accounting for social factors. Disparities also persist for low-income women, veterans, and those in rural environments. To promote maternal health equity, we advocate for the passage of the Black Maternal Health Momnibus Act, which aims to address maternal health disparities for underserved populations. Further, many local and state initiatives can also aid in reducing maternal morbidity and mortality.

Inpatient and Emergency Department Epidemiology and Differences Across Health Disparity Populations in People with Functional Neurological Disorders (P3-4.014)

Inpatient and Emergency Department Epidemiology and Differences Across Health Disparity Populations in People with Functional Neurological Disorders (P3-4.014)

Addressing Chronic Musculoskeletal Pain among Health Disparity Populations: A Randomized Controlled Trial

Addressing Chronic Musculoskeletal Pain among Health Disparity Populations: A Randomized Controlled Trial

99 Using LGBTQ+ Community Expertise to Co-Develop Inclusive Sexual Orientation and Gender Identity (SOGI) Screening for Research Studies

OBJECTIVES/GOALS: To promote diverse research engagement and address health disparities by creating an inclusive tool to collect sexual orientation and gender identity (SOGI) data from potential participants #_msoanchor_1 METHODS/STUDY POPULATION: The Penn State Community Health Equity & Engagement in Research (CHEER) team, part of our Clinical and Translational Science Institute (CTSI), developed inclusive screening guidance to collect SOGI data from potential research participants to fill an identified gap in the literature. Guidance was developed through an iterative feedback process, leveraging expertise from local, regional, and national organizations, healthcare systems, and leaders throughout Clinical & Translational Science Award hubs. By eliciting expert feedback, CHEER co-developed a comprehensive SOGI data collection form, filling an important gap of inclusivity in the consenting process. Training of this new tool was delivered to CHEER’s far-reaching listserv researchers (internal and external) and community partners. RESULTS/ANTICIPATED RESULTS: Feedback collected from our LGBTQ+ expert partners resulted in a total of five inclusive SOGI screening questions; two ‘Gender Identity’ questions, one ‘Sexual Orientation’ question, and two ‘Sex’ questions, with “prefer not to answer” and “another option not listed” provided. The goal of this effort is to equip research teams with a tool that integrates SOGI characteristics that may be particularly important to determine study eligibility respective to a person’s identity or orientation. Additionally, collecting SOGI data in an inclusive way may increase trust worthiness in research from potential research participants, particularly among the LGBTQ+ community, who have been underrepresented yet experience several inequities and disparities across multiple health outcomes. DISCUSSION/SIGNIFICANCE: CHEER’s goal is to reduce health disparities in underrepresented populations, including the LGBTQ+ community, by promoting inclusivity and engagement in research. Developing a community-driven screening that addresses the unique needs of the LGBTQ+ community successfully bridges a gap in equity across all research participants.

It's About Time! Timing in Epilepsy Evaluation and Treatment.

The 2023 American Epilepsy Society Annual Course "It's About Time" addressed timing in epilepsy evaluation and treatment with respect to health disparity and vulnerable populations and diagnostic, clinical, and epilepsy surgery evaluation. This comprehensive course included topics on gaps in epilepsy care and optimization of behavioral health for patients with epilepsy. The summary details current knowledge in areas of seizure forecasting and epileptogenesis. Intricacies and controversies over timing were discussed for treatment of nonconvulsive seizures and ictal-interictal patterns, acute symptomatic seizures, neuromodulation versus surgery, and epilepsy surgery in status epilepticus. Timing regarding clinical care in autoimmune-associated epilepsy, developmental and epileptic encephalopathy, and dietary therapy were examined. Additionally, salient topics on using novel biomarkers and collaboration with neuropsychological outcomes were also tackled in this all-encompassing lecture series.

38 Impacts of Racial Discrimination on Cognitive and Affective Processes and Drug-Cue Reactivity

OBJECTIVES/GOALS: Our overarching aim is to examine, in an African American population, cognitive, affective, and neurophysiological processes, as well as risk-taking behavior, in response to racial stigma cues. While accounting for individual differences, we aim to see how these processes and drug-cue reactivity are impacted or altered by exposure to racial cues. METHODS/STUDY POPULATION: Participants will be African Americans between 18 and 25 years of age, equally distributed across genders. We will recruit 75 participants in order to have adequate power to conduct our intended analyses—particularly pertaining to individual differences in risk behavior outcomes. Participants will be asked to complete demographic and self-report questionnaires. Participants will also be asked to complete computerized tasks while their physiological responses (heart rate, skin conductance, and electroencephalographic (EEG) data) are recorded. The tasks are as follow: resting, gambling, go/no-go, picture viewing (positive, negative, and neutral images), and a drug cue image set. These tasks will be repeated after the participant views a racial stigma image set to evaluate the impact of discrimination. RESULTS/ANTICIPATED RESULTS: Data from 18 participants has been collected. Data will be periodically preprocessed and validated (e.g., 1 participant was removed due to data recording errors, so the current valid Nis 17). Generally, we anticipate that behaviors and neural activity will be modulated across all tasks after viewing the racial stigma image set. Specifically, (a) cognitive and affective processing of singular events of racial stigma may indicate a stress response, (b) modulation from chronic experiences of racial stigma render neural systems increasingly sensitive to stigma cues, and thereby less equipped to regulate stress response, (c) the impact of these processes on altering risk behavior (may increase such behaviors), and (d) the impact of these modulations on altering drug-cue reactivity (may amplify reactivity). DISCUSSION/SIGNIFICANCE: The study will identify factors that contribute to stress and risk behavior among African Americans. A substantial gap continues to exist regarding the nature of risk behavior among African Americans, despite the fact that African Americans represent a health disparity population with unique vulnerabilities to health-relevant risk behavior.

Heterogeneous Effects of Volunteering on Frailty in Later Life: A Panel Quantile Regression Approach.

Decades of research indicate that volunteering is associated with better health for the volunteer beyond the selection effects based on health. However, little is known about potential heterogeneity in health outcomes associated with volunteering in the context of good or poor health. This study addresses this gap by focusing on the frailty index (FI) to investigate the volunteering-health nexus across the population frailty distribution ranging from fit to frail. Using nationally representative data from the Health and Retirement Study (person N = 34,986; 198,218 person-wave observations), we estimated unconditional quantile regression models with panel fixed effects to estimate changes in FI associated with changes in the share of volunteers in the population across the frailty distribution observed across the study period (1998-2020). Our findings demonstrated that the volunteering-FI association was heterogeneous across the frailty distribution. The association was the most potent at the higher end of the frailty distribution, suggesting that efforts to promote volunteering may yield greater benefits for older adults experiencing high levels of frailty. The current study findings provide unique and compelling evidence in support of earlier calls for considering volunteering as a public health intervention. The study findings are discussed in the context of population health outcomes and health disparities.

Implementing a Community Engagement Model to Develop a Community-Driven Oral Health Intervention

Abstract: Background: Using community-engaged research may result in interventions that reduce infant oral health disparities in underserved populations. Objective: Develop community partnerships to create a sustainable infant oral health program that meets specific community-identified needs and provides an interprofessional education experience. Methods: Partnering with the Homewood Community Engagement Center, researchers engaged and surveyed key community partners to assess the need for an infant oral health invention. Lessons Learned: Community-identified organizing principles and barriers became the framework for, "Healthy Teeth, Healthy Me," a community-driven infant oral health program. Barriers, like access to care, were addressed with community-specific solutions like agreements with local dental clinical for referrals. Conclusions: Community partnerships can be leveraged to develop oral health programs that fit specific community needs and provide resources to families at greatest risk for child dental caries. Community engagement can be used to modify the intervention to meet oral health needs of other vulnerable communities.

Just in case: undergraduate students identifying and mitigating barriers to their sexual and reproductive health needs

BackgroundMany U.S. colleges and universities offer access to a healthcare center that provides sexual and reproductive health (SRH) resources, services, and products. The importance of health centers in college and university settings in reducing sexual health disparities in student populations cannot be stressed enough. This article evaluates a student-led, mutual-aid, grassroots health promotion strategy for students with limited access to healthcare services, supplies, and tools via an anonymous and discrete distribution of SRH resources without charge.MethodsIn partnership with faculty, undergraduate students worked to address their school’s unmet SRH needs by increasing on-campus access to comprehensive, evidence-based, and sex-positive resources. Referred to as Just in Case, this student-led, grassroots health promotion program provided students with supply kits containing contraceptives, sexual health wellness products, basic hygiene supplies, and education materials. Students were surveyed in a pre- (n = 95) post- (n = 73) pilot study to identify contraception acquisition barriers, discern perceptions of on-campus SRH resources, and elucidate trends in this program’s use and impact. Chi-square tests of independence were used to compare survey group responses, and association rule mining was employed in tandem to identify SRH items that students requested.ResultsStudents identified cost and privacy as significant barriers to acquiring sexual health products on campus. Of the 182 Just in Case supply kits requested by students during the 2022–2023 academic year, condoms were requested most frequently in 75% of fulfilled kits, while emergency contraception and pregnancy tests were asked most often in 61% of kits. 50% of students reported access to contraceptives on campus before this program’s implementation, growing to 75% (p < 0.001) 1 year later post-implementation. Similar jumps were observed for reported access to sexual health education (30 to 73%, p < 0.001) and services (36 to 73%, p < 0.001).ConclusionA student-led SRH supply and resource delivery strategy may immediately reduce SRH inequities and decrease barriers to contraceptive use for students with limited access to on-site SRH product availability.

Interprofessional Global Health Education and Credentialing for Higher Ed

Global health issues, including population health disparities, government policy, and pandemics, impact care delivery at all levels. Healthcare is interconnected in ways never seen before, and interprofessional collaboration is imperative for individual and population health and wellness. Nursing and health professions programs have a noticeable gap in global health coverage across the curriculum. Purposeful global health competency integration in healthcare programs can address this gap and prepare healthcare providers with the knowledge needed to address health disparities on a global level. This paper highlights the process developed by a nursing program to embed interprofessional global health competencies in undergraduate and graduate nursing curricula, data dashboard development to streamline competency tracking, and digital badging to showcase competency attainment.

Inclusive and intersectoral: community health improvement planning opportunities to advance the social determinants of health and health equity

BackgroundCommunity health improvement plans (CHIPs) are strategic planning tools that help local communities identify and address their public health needs. Many local health departments have developed a CHIP, yet there is a lack of research on the extent to which these plans address root causes of health disparities such as the social determinants of health. This study aims to inventory the social determinants of health included in 13 CHIPs and examine facilitators and challenges faced by local health departments and partners when trying to include the social determinants of health.MethodsWe conducted a comparative plan evaluation by scoring 13 CHIPs on their inclusion of equity orientation, inclusive planning processes, and five social determinants of health: health care access and quality, the neighborhood and built environment, economic stability, social and community context, and education access and quality. To supplement the plan evaluation, we conducted 32 in-depth interviews with CHIP leaders and stakeholders to understand the factors contributing to the inclusion and exclusion of the social determinants of health in the planning process.ResultsCHIPs received an average score of 49/100 for the inclusion of the social determinants of health. Most plans addressed health care access and quality and the neighborhood and built environment, but they often did not address economic stability, the social and community context, and education access and quality. Regarding their overall equity orientation, CHIPs received an average score of 35/100, reflecting a relative lack of attention to equity and inclusive planning processes in the plans. Interviews revealed that challenges engaging partners, making clear connections between CHIPs and social determinants, and a lack of capacity or public and partner support often led to the exclusion of the social determinants of health. Recommendations to improve planning processes include improving data infrastructure, providing resources for dedicated planning staff and community engagement incentives, and centering equity throughout the planning process.ConclusionsAlthough local health departments can leverage CHIPs to improve population health and address health disparities, they face a range of challenges to including the social determinants of health in CHIPs. Additional resourcing and improved data are needed to facilitate broader inclusion of these determinants, and more work is needed to elevate equity throughout these planning processes.

Situating implementation science (IS) in res(IS)tance: a conceptual frame toward the integration of scholarship from the black radical tradition.

This manuscript undertakes a disciplinary self-critique of the field of implementation science, a field which attempts to bridge the gap between evidence-based interventions and their practical application. Despite the heightened emphasis on health equity and racial disparities, the field's current discourse is limited by key epistemic shortcomings. First, even though prevalence of implementation gaps between racialized groups in the United States necessitates a comprehensive understanding of the systems perpetuating these disparities, the field does not operate with a general explanation for disparities not as a failure of systems, but a system historically and structural designed to produce disparities. Second, the field has attempted to address disparities without adequate dialog with a broad tradition of anti-racist and anti-colonial sociology, history and epistemology, and therefore risks a decontextualized analysis of disparities and under-informed approaches to achieving equity. Fortunately, scholarship from the Black radical tradition (BRT), such as the Public Health Critical Race Praxis (PHCRP), Critical Race Theory (CRT), and more broadly conceptual frameworks from post-modern, anti-colonial, Black feminist studies and social epistemology can offer to implementation science frameworks that center power dynamics and racialized oppression. This epistemic re-alignment of implementation research to "center at the margins" can enable the field of implementation science to more critically examine and dismantle systems that perpetuate racial inequalities in access to and utilization of health interventions. For example, normalization and dynamic fit, which are thought to be key mechanisms of implementation, are revealed in the light of this tradition of scholarship to be potentially problematic acquiescence to oppressive systems. Drawing from the concept of resistance anchored in the scholarship of the Black radical tradition as well as contemporary social epistemology such as the work of José Medina and Maria Fricker about epistemic justice, the authors further advance that implementation science could make more substantial contributions to the dismantling of racialized systems and actively work toward health justice through the transdisciplinary lens of resistance. This is a call to action for integrating implementation science with critical philosophical and theoretical perspectives rooted in Black studies and related insights, which have been acquired through the struggle for social justice, to inform the design of implementation strategies and research projects that improve health services and health outcomes for health disparity populations.

Enhancing Medical Students' Understanding of Team-Based Care to Address Social Determinants of Health: A Case-Based Experience.

Social and structural factors play a critical role in driving inequitable health outcomes, resulting in the need for undergraduate medical education to include important care components such as team-based care to address social determinants of health. Research shows that learning strategies such as case-based initiatives are valuable opportunities to impact knowledge of population health, health disparities, and social determinants that impact care. The purpose of this study was to assess the impact of a clinical case-based experience on medical students' self-efficacy and future intent to use the team-based care necessary to address social determinants of health. We used a retrospective analysis of program data from 640 third-year medical students who engaged in a case-based experience and small-group debriefing around the impact of team-based care and social determinants of health on patient care during their family medicine clerkship between July 2020 and April 2022. We found a statistically significant improvement in students' reported self-efficacy and intent to collaborate with other health care workers (team-based care) to address patient care needs in rural and urban underserved community settings. Our students reported that a case-based experience coupled with a small-group debriefing was an effective method for teaching them how to use a team-based approach to address social determinants of health.

Developing a novel mobile application for cognitive behavioral therapy for insomnia for people with schizophrenia: integration of wearable and environmental sleep sensors

BackgroundPeople with serious mental illnesses (SMIs) have three-fold higher rates of comorbid insomnia than the general population, which has downstream effects on cognitive, mental, and physical health. Cognitive Behavioral Therapy for Insomnia (CBT-i) is a safe and effective first-line treatment for insomnia, though the therapy’s effectiveness relies on completing nightly sleep diaries which can be challenging for some people with SMI and comorbid cognitive deficits. Supportive technologies such as mobile applications and sleep sensors may aid with completing sleep diaries. However, commercially available CBT-i apps are not designed for individuals with cognitive deficits. To aid with this challenge, we have developed an integrated mobile application, named “Sleep Catcher,” that will automatically incorporate data from a wearable fitness tracker and a bed sensor to track nightly sleep duration, overnight awakenings, bed-times, and wake-times to generate nightly sleep diaries for CBT-i.MethodsThe application development process will be described—writing algorithms to generating useful data, creating a clinician web portal to oversee patients and the mobile application, and integrating sleep data from device platforms and user input.ResultsThe mobile and web applications were developed using Flutter, IBM Code Engine, and IBM Cloudant database. The mobile application was developed with a user-centered approach and incremental changes informed by a series of beta tests. Special user-interface features were considered to address the challenges of developing a simple and effective mobile application targeting people with SMI.ConclusionThere is strong potential for synergy between engineering and mental health expertise to develop technologies for specific clinical populations. Digital health technologies allow for the development of multi-disciplinary solutions to existing health disparities in vulnerable populations, particularly in people with SMI.

Centering PrEP: Utilizing ADAPT-ITT to inform group PrEP care for sex workers in Chicago

BackgroundSex workers, those who trade sex for monetary or nonmonetary items, experience high rates of HIV transmission but have not been adequately included in HIV prevention and Pre-Exposure Prophylaxis (PrEP) adherence program development research. Community-empowered (C.E.) approaches have been the most successful at reducing HIV transmission among sex workers. Centering Healthcare (Centering) is a C.E. model proven to improve health outcomes and reduce health disparities in other populations, such as pregnant women, people with diabetes, and sickle cell disease. However, no research exists to determine if Centering can be adapted to meet the unique HIV prevention needs of sex workers.ObjectiveWe aim to explain the process by which we collaboratively and iteratively adapted Centering to meet the HIV prevention and PrEP retention needs of sex workers.MethodsWe utilized the Assessment, Decision, Adaptation, Production, Topical Experts, Integration, Training, Testing (ADAPT-ITT) framework, a model for adapting evidence-based interventions. We applied phases one through six of the ADAPT-ITT framework (Assessment, Decision, Adaptation, Production, Topical Experts, Integration) to the design to address the distinct HIV prevention needs of sex workers in Chicago. Study outcomes corresponded to each phase of the ADAPT-ITT framework. Data used for adaptation emerged from collaborative stakeholder meetings, individual interviews (n = 36) and focus groups (n = 8) with current and former sex workers, and individual interviews with care providers (n = 8). In collaboration with our community advisory board, we used a collaborative and iterative analytical process to co-produce a culturally adapted 3-session facilitator's guide for the Centering Pre-exposure Prophylaxis (C-PrEP +) group healthcare model.ResultsThe ADAPT-ITT framework offered structure and facilitated this community-empowered innovative adaptation of Centering Healthcare. This process culminated with a facilitator's guide and associated materials ready for pilot testing.ConclusionsIn direct alignment with community empowerment, we followed the ADAPT-ITT framework, phases 1–6, to iteratively adapt Centering Healthcare to suit the stated HIV Prevention and PrEP care needs of sex workers in Chicago. The study represents the first time Centering has been adapted to suit the HIV prevention and PrEP care needs of sex workers. Addressing a gap in HIV prevention care for sex workers, Centering PrEP harnesses the power of community as it is an iteratively adapted model that can be piloted and replicated regionally, nationally, and internationally.

Accelerating evidence generation: Addressing critical challenges and charting a path forward

Abstract Efficient evidence generation to assess the clinical and economic impact of medical therapies is critical amid rising healthcare costs and aging populations. However, drug development and clinical trials remain far too expensive and inefficient for all stakeholders. On October 25–26, 2023, the Duke Clinical Research Institute brought together leaders from academia, industry, government agencies, patient advocacy, and nonprofit organizations to explore how different entities and influencers in drug development and healthcare can realign incentive structures to efficiently accelerate evidence generation that addresses the highest public health needs. Prominent themes surfaced, including competing research priorities and incentives, inadequate representation of patient population in clinical trials, opportunities to better leverage existing technology and infrastructure in trial design, and a need for heightened transparency and accountability in research practices. The group determined that together these elements contribute to an inefficient and costly clinical research enterprise, amplifying disparities in population health and sustaining gaps in evidence that impede advancements in equitable healthcare delivery and outcomes. The goal of addressing the identified challenges is to ultimately make clinical trials faster, more inclusive, and more efficient across diverse communities and settings.

Cultural context index: A geospatial measure of social determinants of health in the United States

Minority populations will continue to grow in the United States. Such pluralism necessitates iterative, geospatial measurements of cultural contexts. Our objective in this study was to create a measure of social determinants of health in geographic areas with varying ethnic, linguistic, and religious diversity in the United States. We extracted geographic information systems data based on community characteristics that have known associations with population health disparities from 2015 to 2019. We used principal component analysis to construct a Cultural Context Index (CCI). We created the CCI for 73,682 census tracts across 50 states and five inhabited territories. We identified hot and cold spots that are the highest and lowest CCI quintile, respectively. Hot spots census tracts were mostly located in metropolitan areas (84.8%), in the Southern census region (41.5%), and also had larger Black and Hispanic populations. The census tracts with the greatest need for culturally competent health care also had the sickest populations. Census tracts with a CCI rank of 5 (‘greatest need’) had higher prevalences of self-reported poor physical health (17.2%) and poor mental health (17.4%), compared to either the general population (13.9% and 14.5%) or to CCI rank of 1 (‘lowest need’) (11.9% and 10.8%). The CCI can pinpoint census tracts with a need for culturally competent health care and inform supply-side policy planning as healthcare and social service providers will inevitably come in contact with consumers from different backgrounds.