A microbial causal mediation analytic tool for health disparity and applications in body mass index

Background: Emerging evidence suggests the potential mediating role of microbiome in health disparities. However, no analytic framework is available to analyze microbiome as a mediator between health disparity and clinical outcome, due to the unique structure of microbiome data, including high dimensionality, sparsity, and compositionality. Methods: Considering the modifiable and quantitative features of microbiome, we propose a microbial causal mediation model framework, SparseMCMM_HD, to uncover the mediating role of microbiome in health disparities, by depicting a plausible path from a non-manipulable exposure (e.g. race or region) to a continuous outcome through microbiome. The proposed SparseMCMM_HD rigorously defines and quantifies the manipulable disparity measure that would be eliminated by equalizing microbiome profiles between comparison and reference groups. Moreover, two tests checking the impact of microbiome on health disparity are proposed. Results: Through three body mass index (BMI) studies selected from the curatedMetagenomicData 3.4.2 package and the American gut project: China vs. USA, China vs. UK, and Asian or Pacific Islander (API) vs. Caucasian, we exhibit the utility of the proposed SparseMCMM_HD framework for investigating microbiome’s contributions in health disparities. Specifically, BMI exhibits disparities and microbial community diversities are significantly distinctive between the reference and comparison groups in all three applications. By employing SparseMCMM_HD, we illustrate that microbiome plays a crucial role in explaining the disparities in BMI between races or regions. 11.99%, 12.90%, and 7.4% of the overall disparity in BMI in China-USA, China-UK, and API-Caucasian comparisons, respectively, would be eliminated if the between-group microbiome profiles were equalized; and 15, 21, and 12 species are identified to play the mediating role respectively. Conclusions: The proposed SparseMCMM_HD is an effective and validated tool to elucidate the mediating role of microbiome in health disparity. Three BMI applications shed light on the utility of microbiome in reducing BMI disparity by manipulating microbial profiles.

Differences among factors associated with tobacco product use among Black and White adolescents: A cross-sectional analysis of wave one of the PATH study 2013-2014

INTRODUCTION

Tobacco use remains a primary cause of health disparities between Black and White Americans. Current approaches have not improved tobacco-related racial health disparities. This study aimed to identify differences in factors associated with tobacco product use among Black and White adolescents.

METHODS

This cross-sectional design used data from Wave One (2013-2014) of the Population Assessment of Tobacco and Health Study. Adolescents aged 12-17 years who identified as non-Hispanic Black or African American (n=1800) or non-Hispanic White (n=6495) were included. Primary outcomes were the ever use and current use of any tobacco products. Sociocultural, household environment, psychological, and behavioral factors were included. Logistic regressions, stratified by race, were used to determine significance. Dominance analysis was used to rank significant factors by their level of importance.

RESULTS

Although there were many Black-White commonalities, there were also important differences. Black adolescents in the Northeast were more likely to have ever used tobacco compared to those in the South (OR=0.6; 95% CI: 0.6-0.7, p<0.001) and Midwest (OR=0.6; 95% CI: 0.5-0.7, p<0.001). White adolescents in the Northeast were less likely to use tobacco products than in other regions. Peer influences (OR=1.9; 95% CI: 1.1-3.2, p<0.05) were uniquely associated with ever use among Black adolescents. Access to tobacco in the home (OR=2.0; 95% CI: 1.4-3.0, p<0.001) and thinking that tobacco use would help reduce stress (OR=1.3; 95% CI: 1.1-1.6, p<0.01) were uniquely associated with current use among Black adolescents.

CONCLUSIONS

There are significant Black-White differences in the factors associated with tobacco use. Factors uniquely associated with Black adolescent tobacco use should be considered in developing strategies to prevent adolescent tobacco use in Black communities.

The lived experience of people with disabilities during the COVID-19 pandemic on Twitter: Content analysis

Objective

People with disabilities (PWDs) are at greater risk of COVID-19 infection, complications, and death, and experience more difficulty accessing care. We analyzed Twitter tweets to identify important topics and investigate health policies' effects on PWDs.

Methods

Twitter's application programming interface was used to access its public COVID-19 stream. English-language tweets from January 2020 to January 2022 containing a combination of keywords related to COVID-19, disability, discrimination, and inequity were collected and refined to exclude duplicates, replies, and retweets. The remaining tweets were analyzed for user demographics, content, and long-term availability.

Results

The collection yielded 94,814 tweets from 43,296 accounts. During the observation period, 1068 (2.5%) accounts were suspended and 1088 (2.5%) accounts were deleted. Account suspension and deletion among verified users tweeting about COVID-19 and disability were 0.13% and 0.3%, respectively. Emotions were similar among active, suspended, and deleted users, with general negative and positive emotions most common followed by sadness, trust, anticipation, and anger. The overall average sentiment for the tweets was negative. Ten of the 12 topics identified (96.8%) related to pandemic effects on PWDs; "politics that rejects and leaves the disabled, elderly, and children behind" (48.3%) and "efforts to support PWDs in the COVID crisis" (31.8%) were most common. The sample of tweets by organizations (43.9%) was higher for this topic than for other COVID-19-related topics the authors have investigated.

Conclusions

The primary discussion addressed how pandemic politics and policies disadvantage PWDs, older adults, and children, and secondarily expressed support for these populations. The increased level of Twitter use by organizations suggests a higher level of organization and advocacy within the disability community than in other groups. Twitter may facilitate recognition of increased harm to or discrimination against specific populations such as people living with disability during national health events.

Racial Disparity and Trend of Food Scarcity Amid COVID-19 Pandemic in the United States

An increase in households with food insecurity has been reported during the COVID-19 pandemic, but the trend of food insecurity during the pandemic remains unclear. Using Household Pulse Survey (HPS) data over 34 weeks from June 2020 to September 2021 (nationally representative samples of US adults in the households from the US Census Bureau), we examined racial disparity and trends of food scarcity amid the COVID-19 pandemic. The time series plots illustrated that the food scarcity rate was incremental until December 2020 and began improving thereafter across all racial groups. Such improvements in food scarcity were accompanied by the rise in regular income rates while the use of food assistance programs, unemployment insurance, and stimulus payments remained unchanged or reduced. As the US economy recovered, the gaps in food scarcity rates also narrowed between Black/Hispanic and White households.

Identifying Optimal Locations for Potential Temporary Community Clinics During Public Health Emergencies

OBJECTIVES

This article argues that community healthcare clinics managed by dedicated medical professionals who are familiar with the special needs of the local community may serve as effective alternatives to centralized hospitals and medical facilities, which may be disconnected from these local communities.

BACKGROUND

The literature indicates that socioeconomic factors that affect an individual's ability to seek medical help when needed can cause vulnerability to public health emergencies. These factors include belonging to lower income populations, being African American, being dependent due to age (below 18 or above 65) or disability, being an immigrant, English-language ability, access to transportation means, and the strength of an individual's social network.

METHOD

This study aims at developing a multifaceted methodology to identify optimal locations for deployment of temporary healthcare clinics to address health disparity issues among socially vulnerable populations, especially during pandemics and public health crises. This case study looks at the Health Enterprise Zone (HEZ) in Baltimore and ranks Census tracts based on their vulnerability, using two novel health vulnerability indices and considering their locations.

RESULTS

Using the proposed methodology, the optimal tracts within the HEZ are identified as potential locations for deploying temporary healthcare clinics.

CONCLUSION

The analysis of vulnerabilities to public health emergencies based on socioeconomic factors can assist in identifying potential locations for setting up temporary healthcare clinics with the goal of assisting socially vulnerable populations during outbreaks and pandemics.

Association of County-degree Social Vulnerability with Chronic Respiratory Disease Mortality in the United States

Rationale: Chronic respiratory diseases, the third leading cause of death worldwide, have been associated with significant morbidity, mortality, and increased economic burden that make a profound impact on individuals and communities. However, limited research has delineated complex relationships between specific sociodemographic disparities and chronic respiratory disease outcomes among U.S. counties. Objectives: To assess the association of county-level sociodemographic vulnerabilities with chronic respiratory disease mortality in the United States. Methods: Chronic respiratory disease mortality data among U.S. counties for 2014-2018 was obtained from the CDC WONDER (Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research) database. The social vulnerability index (SVI), including subindices of socioeconomic status, household composition and disability, minority status and language, and housing type and transportation, is a composite, percentile-based measure developed by the CDC to evaluate county-level sociodemographic vulnerabilities to disasters. We examined county-level sociodemographic characteristics from the SVI and classified the percentile rank into quartiles, with a higher quartile indicating greater vulnerability. The associations between chronic respiratory disease mortality and overall SVI, its four subindices, and each county characteristic were analyzed by negative binomial regression. Results: From 2014 to 2018, the age-adjusted mortality per 1,000,000 population attributed to chronic lower respiratory disease was 406.4 (95% confidence interval [CI], 405.5-407.3); chronic obstructive pulmonary disease (COPD), 393.7 (392.8-394.6); asthma, 10.0 (9.9-10.2); interstitial lung disease (ILD), 50.5 (50.1-50.8); idiopathic pulmonary fibrosis (IPF), 37.0 (36.7-37.3); and sarcoidosis, 5.3 (5.2-5.4). Counties in the higher quartile of overall SVI were significantly associated with greater disease mortality (chronic lower respiratory disease, incidence rate ratios: fourth vs. first quartile, 1.43 [95% CI, 1.39-1.48]; COPD, 1.44 [1.39-1.49]; asthma, 2.06 [1.71-2.48]; ILD, 1.07 [1.02-1.13]; IPF, 1.14 [1.06-1.22]; sarcoidosis, 2.01 [1.44-2.81]). In addition, higher mortality was also found in counties in the higher quartile of each subindex and most sociodemographic characteristics. Conclusions: Chronic respiratory disease mortalities were significantly associated with county-level sociodemographic determinants as measured by the SVI in the United States. These findings suggested sociodemographic determinants may add a considerable barrier to establishing health equity. Multidegree public health strategies and clinical interventions addressing inequitable outcomes of chronic respiratory disease should be developed and targeted in areas with greater social vulnerability and disadvantage.

The Experiences of Midwives in Caring for Vulnerable Pregnant Women in The Netherlands: A Qualitative Cross-Sectional Study

Vulnerable pregnant women have an increased risk for preterm birth and perinatal mortality. This study identifies the perspectives, perceived barriers, and perceived facilitators of midwives toward current care for vulnerable pregnant women in the Netherlands. Knowing those perspectives, barriers, and facilitators could help increase quality of care, thereby reducing the risks of preterm birth and perinatal mortality. Midwives working in primary care practices throughout the Netherlands were interviewed. Semi-structured interviews were conducted remotely through a video conference program, audio recorded, transcribed verbatim, and coded based on the theoretical domains framework and concepts derived from the interviews, using NVivo-12. All midwives provided psychosocial care for vulnerable pregnant women, expected positive consequences for those women resulting from that care, considered it their task to identify and refer vulnerable women, and intended to improve the situation for mother and child. The main barriers perceived by midwives were too many organizations being involved, inadequate communication between care providers, lack of time to care for vulnerable women, insufficient financing to provide adequate care, and uncooperative clients. The main facilitators were having care coordinators, treatment guidelines, vulnerability detection tools, their own knowledge about local psychosocial organizations, good communication skills, cooperative clients, consultation with colleagues, and good communication between care providers. The findings suggest that midwives are highly motivated to care for vulnerable women and perceive a multitude of facilitators. However, they also perceive various barriers for providing optimal care. A national guideline on how to care for vulnerable women, local overviews of involved organizations, and proactive midwives who ensure connections between the psychosocial and medical domain could help to overcome these barriers, and therefore, maximize effectiveness of the care for vulnerable pregnant women.

Genetic variants in African-American and Hispanic patients with breast cancer

Breast cancer is a disease with significant health disparity affecting mortality in minority women. The present study examined the genetic makeup of breast cancers in African-American and Hispanic/Latinx patients to determine specific genetic mutations associated with breast cancer in the minority population from South Los Angeles, United States. Whole-exome sequencing was performed on DNA extracted from breast cancer tumor biopsies collected from 13 African-American and 15 Hispanic women and 8 matched-normal samples for each ethnic category. The results were analyzed using Ensemble Variant Effect Predictor and Mutation Significance. Additionally, a comparative analysis with The Cancer Genome Atlas data was provided. Our data revealed somatic mutations in genes such as SET domain containing (lysine methyltransferase) 8, serine protease 1 and AT-rich interaction domain 1B (ARID1B) and known breast cancer genes, such as BRCA1/2, TP53 and the DNA damage response genes across all ethnicities. Additionally, Hispanic patients had BRCA1 associated RING domain 1B (BARD1) variants, while African-American patients had higher numbers of nonsynonymous variants in the RAD51 paralog B (RAD51B), ARID1B and X-ray repair cross complementing 3 (XRCC3) genes. In addition, our patients exhibited mutational signature enrichment that indicated DNA homologous recombination repair deficiencies. Therefore, African-American and Hispanic breast cancer samples showed considerable overlap in breast cancer genetic mutations. However, there are differences in specific genetic variants in TP53, BRCA1/2, BARD1 or ARID1B, which will require further study of their role in tumorigenesis.

Engagement, Use, and Impact of Digital Mental Health Resources for Diverse Populations in COVID-19: Community-Partnered Evaluation

BACKGROUND

The COVID-19 pandemic increased disparities for communities burdened by structural barriers such as reduced affordable housing, with mental health consequences. Limited data are available on digital resources for public mental health prevention during the COVID-19 pandemic.

OBJECTIVE

The study aim was to evaluate engagement in and impact of free digital resources on the Together for Wellness/Juntos por Nuestro Bienestar (T4W/Juntos) website during COVID-19 in California.

METHODS

A pilot evaluation of T4W/Juntos was performed, with partner agencies inviting providers, clients, and partners to visit the website and complete surveys at baseline (September 20, 2021, to April 4, 2022) and at 4-6-week follow-up (October 22, 2021, to May 17, 2022). Website use was assessed by three engagement items (ease of use, satisfaction, relevance), comfort in use, and use of six resource categories. Primary outcomes at follow-up were depression and anxiety (scores≥3 on Patient Health Questionnaire-2 item [PHQ2] and Generalized Anxiety Disorder-2 item [GAD2] scales). Secondary outcomes were post-pre differences in PHQ2 and GAD2 scores, and use of behavioral health hotlines and services the month before follow-up.

RESULTS

Of 366 eligible participants, 315 (86.1%) completed baseline and 193 (61.3%) completed follow-up surveys. Of baseline participants, 72.6% identified as female, and 21.3% identified as lesbian, gay, bisexual, transgender, queer/questioning, and others (LGBTQ+). In terms of ethnicity, 44.0% identified as Hispanic, 17.8% as African American, 26.9% as non-Hispanic white, and 11.4% as other ethnicity. Overall, 32.7% had moderate anxiety or depression (GAD2/PHQ2≥3) at baseline. Predictors of baseline website engagement included being Hispanic versus other race/ethnicity (β=.27, 95% CI .10-.44; P=.002) and number of COVID-19-related behavior changes (β=.09, 95% CI .05-.13; P<.001). Predictors of comfort using the website were preferring English for website use (odds ratio [OR] 5.57, 95% CI 2.22-13.96; P<.001) and COVID-19-related behavior changes (OR 1.37, 95% CI 1.12-1.66; P=.002); receiving overnight behavioral health treatment in the prior 6 months (OR 0.15, 95% CI 0.03-0.69, P=.015) was associated with less comfort in website use. The main predictor of depression at follow-up (PHQ2≥3) was baseline depression (OR 6.24, 95% CI 2.77-14.09; P<.001). Engagement in T4W/Juntos was associated with lower likelihood of depression (OR 0.54, 95% CI 0.34-0.86; P=.01). Website use the month before follow-up was associated with a post-pre reduction in PHQ2 score (β=-.62, 95% CI -1.04 to -0.20; P=.004). The main predictor of GAD2≥3 at follow-up was baseline GAD2≥3 (OR 13.65, 95% CI 6.06-30.72; P<.001). Greater baseline website engagement predicted reduced hotline use (OR 0.36, 95% CI 0.18-0.71; P=.004).

CONCLUSIONS

Ethnicity/language and COVID-19-related behavior changes were associated with website engagement; engagement and use predicted reduced follow-up depression and behavioral hotline use. Findings are based on participants recommended by community agencies with moderate follow-up rates; however, significance was similar when weighting for nonresponse. This study may inform research and policy on digital mental health prevention resources.

Factors influencing the participation of Black and White Americans in Alzheimer's disease biomarker research

Introduction

Alzheimer's disease (AD) is a public health priority. AD biomarkers may vary based on race, but the recruitment of diverse participants has been challenging.

Methods

Three groups of Black and White participants with and without prior research advocacy or participation were interviewed individually or in focus groups to better understand perspectives related to AD biomarker research participation. A rapid qualitative data analytic approach was used to analyze the data.

Results

Identified barriers to AD biomarker research participation included hesitancy due to fear, distrust of research and researchers, lack of relevant knowledge, and lack of research test results disclosure. Drivers for engagement in biomarker research procedures included knowledge about research, AD, and related clinical procedures, perceived benefits of participation, and outreach from trusted sources.

Discussion

Participants' comments related to the need for diversity in research and desire for results disclosure suggest opportunities to engage Black individuals.

Highlights

Black Americans experience more salient barriers to Alzheimer's disease (AD) biomarker research participation.Concerns about research diversity influence research participation decisions.Research test disclosure may affect research participation and retention.

Assessing Knowledge and Barriers at the Primary Care Provider Level that Contribute to Disparities in Inflammatory Breast Cancer Diagnosis and Treatment

Purpose

The purpose of this study was to evaluate knowledge gaps and barriers related to diagnosis and care of inflammatory breast cancer (IBC), a rare but most lethal breast cancer subtype, amongst Primary Care Providers (PCP) as they are often the first point of contact when patients notice initial symptoms.

Methods

PCP participants within Duke University Health System, federally qualified health center, corporate employee health and community practices, nearby academic medical center, Duke physician assistant, and nurse leadership program alumni were first selected in a convenience sample (n=11) for semi-structured interviews (n=11). Based on these data, an online survey tool was developed and disseminated (n=78) to assess salient measures of IBC diagnosis, health disparity factors, referral and care coordination practices, COVID impact, and continued medical education (CME).

Results

PCP reported access to care and knowledge gaps in symptom recognition (mean = 3.3, range 1-7) as major barriers. Only 31% reported ever suspecting IBC in a patient. PCP (n=49) responded being challenged with referral delays in diagnostic imaging. Additionally, since the COVID-19 pandemic started, 63% reported breast cancer referral delays, and 33% reported diagnosing less breast cancer. PCP stated interest in CME in their practice for improved diagnosis and patient care, which included online (53%), lunch time or other in-service training (33%), patient and provider-facing websites (32%).

Conclusions

Challenges communicating rare cancer information, gaps in confidence in diagnosing IBC, and timely follow-up with patients and specialists underscores the need for developing PCP educational modules to improve guideline-concordant care.

Provocations for Reimagining Informatics Approaches to Health Equity

As the informatics community commits to the goal of advancing health equity, it is essential that we openly critique our current approaches and reimagine the ways in which we design, implement, evaluate, and advocate for policies related to informatics interventions. In this paper, we present five provocations as a starting point for building more conscientious informatics practice in service of this goal: 1) Health informatics interventions can create an "illusion of impactful action" without significant material benefits for marginalized patients, families, and communities; 2) Health informatics interventions target the wrong stakeholders, the wrong processes, and the wrong technologies to achieve equity; 3) Informaticians must conceptualize health literacy and other factors shaping patients' experiences as a system-level rather than individual-level characteristic; 4) Informatics interventions wrongly assume that interacting contextual factors can be meaningfully captured by over-simplified structured variables; and 5) Informatics interventions often specify the wrong system boundaries and solution space. We further assert that drastic shifts in our current practices will allow us to honor our claims of valuing patient-centered approaches, especially for marginalized communities.

Rural-urban survival disparities for patients with surgically treated lung cancer

BACKGROUND

Nonsmall-cell lung cancer (NSCLC) is a common diagnosis among patients living in rural areas and small towns who face unique challenges accessing care. We examined differences in survival for surgically treated rural and small-town patients compared to those from urban and metropolitan areas.

METHODS

The National Cancer Database was used to identify surgically treated NSCLC patients from 2004 to 2016. Patients from rural/small-town counties were compared to urban/metro counties. Differences in patient clinical, sociodemographic, hospital, and travel characteristics were described. Survival differences were examined with Kaplan-Meier curves and Cox proportional hazards models.

RESULTS

The study included 366 373 surgically treated NSCLC patients with 12.4% (n = 45 304) categorized as rural/small-town. Rural/small-town patients traveled farther for treatment and were from areas characterized by lower income and education(all p < 0.001). Survival probabilities for rural/small-town patients were worse at 1 year (85% vs. 87%), 5 years (48% vs. 54%), and 10 years (26% vs. 31%) (p < 0.001). Travel distance >100 miles (hazard ratio [HR] = 1.11, 95% confidence interval [CI]: 1.07-1.16, vs. <25 miles) and living in a rural/small-town county (HR = 1.04, 95% CI: 1.01-1.07) were associated with increased risk for death.

CONCLUSIONS

Rural and small-town patients with surgically treated NSCLC had worse survival outcomes compared to urban and metropolitan patients.

Borderline Personality Disorder Symptoms in a Community Sample of Sexually and Gender Diverse Adults

The current study aimed to identify borderline personality disorder (BPD) symptom disparities in sexually and/or gender diverse adults, determine if BPD symptoms vary across sexual orientation and gender identity, and identify factors related to BPD symptoms in this population. A sample of 218 sexually and gender diverse adults completed measures for BPD symptoms and trauma/stressors. Results suggest that sexually and/or gender diverse adults scored higher on six of the nine diagnostic criteria for BPD and were likely to have a probable BPD diagnosis, although these disparities were not observed across groups. Factors such as age, abuse and neglect and stigmatizing events were associated with more BPD symptoms, although the relationship between stigma and BPD symptoms did not remain when controlling for other factors. Results suggest that sexual orientation and gender identity are important factors when investigating BPD, and stigma may in part account for this disparity, although future research is needed.

Association of Medicare Advantage Star Ratings With Racial and Ethnic Disparities in Hospitalizations for Ambulatory Care Sensitive Conditions

BACKGROUND

Enrollment in high-quality Medicare Advantage (MA) plans, measured by a 5-star quality rating system, was lower among racial and ethnic minority enrollees than White enrollees partly due to fewer high-quality plans available in their counties of residence. This may contribute to racial and ethnic disparities in ambulatory care sensitive condition (ACSC) hospitalizations.

OBJECTIVE

We examined whether there were racial and ethnic disparities in ACSC hospitalizations among MA enrollees overall and by star rating.

METHODS

Using the Medicare enrollment and claims data for 2016, we identified White, Black, Hispanic, and Asian/Pacific Islander enrollees in MA plans. We estimated racial and ethnic disparities in ACSC hospitalizations (per 10,000 enrollees) overall and by star rating.

RESULTS

We found that the adjusted rates of ACSC hospitalizations were significantly higher among Black enrollees than White enrollees overall [39.4 (95% confidence interval: 36.3-42.5)]. However, no significant disparities were found among Hispanic and Asian/Pacific Islander enrollees. The adjusted rates of ACSC hospitalizations were higher in lower-rated plans than higher-rated plans in all racial and ethnic groups. The significant disparities in ACSC hospitalizations by star rating were the most pronounced between White and Black enrollees. We found suggestive evidence that enrollment in lower-rated plans was associated with higher disparities in ACSC hospitalizations between White and Black enrollees.

CONCLUSIONS

Substantial disparities in ACSC hospitalizations exist between White and Black enrollees in MA plans, especially for lower-rated plans. Policies aimed at reducing racial disparities in ACSC hospitalizations could include improving access to high-rated plans.

Improving Innovation and Access to Combination Vaccines for Childhood Immunization in China

BACKGROUND

combination vaccines can improve timely vaccination coverage and mitigate the social and economic burdens of both caregivers and health systems. Compared to other countries with high immunization performance, China remains behind the curve in promoting the inclusion of new combination vaccines into national vaccination schedules. The domestic research and development pipeline faces many technical obstacles, regulatory pressures, and competitive opposition. In addition to this, health disparities regarding combination vaccines exist in each dimension of access and their determinants, including availability, accessibility, acceptability, and quality. Our study aims to provide a cross-disciplinary analysis of China's combination vaccines (from innovation to access) and identify the main factors that affect the attitudes and behavior choices for combination vaccines.

METHOD

systematic reviews and secondary data analysis will be conducted to map the landscape of combination vaccines in China and the determinants influencing their innovation and access. A cross-sectional survey will be performed in seven provinces of China based on geo-economic representativeness among caregivers with children that are between 2 and 24 months old and are registered in the national immunization system. Questionnaires will be used to examine the relationship between each dimension of access and their determinants. These questionnaires will cover the caregivers' knowledge, attitude, and willingness to pay for combination vaccines, as well as their perceptions about vaccination services. Semi-structured interviews with the suppliers (public and private) and healthcare providers will help identify research gaps and the key challenges they face when developing and introducing combination vaccines in China.

DISCUSSION

using a combined approach, with cross-country and multi-disciplinary support from experts, our research is designed to fill the information gaps in China's combination vaccine industry across the innovation-access spectrum. It will lead to evidence-based recommendations which will foster greater access to innovation-enhancing combination vaccines for childhood immunization in China. Moreover, the multi-dimensional approach could also be adapted beyond combination vaccines to assess innovation and other public goods for health among disadvantaged groups in the future.

The Bias of Physicians and Lack of Education in Patients of Color With Melanoma as Causes of Increased Mortality: A Scoping Review

Minorities, particularly non-White minorities, often encounter implicit biases from healthcare professionals that may impact their standard of care and quality of life. The study of dermatology has long been based on Whites, unintentionally affecting the treatment of non-White patients. Melanoma, although mostly curable, can become fatal in those presenting with advanced stages at diagnosis. Despite being rare in racial minorities, melanoma is associated with a worse prognosis among them compared to White populations. In light of this, the objective of this study was to determine the role of education in preventing biases and improving the diagnosis and treatment of melanoma in minority groups to improve patient outcomes. This study was designed as a scoping review to gather evidence on the impact of implicit bias and lack of education on the treatment of melanoma in people of color. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we searched for peer-reviewed studies involving melanoma, education, and treatment bias in people of color on the databases PubMed, Medline EBSCO, CINAHL, and Cochrane. The data were extracted pertaining to the following main aspects: (1) risk factors, (2) surveys of current knowledge, and 3) educational interventions. This scoping review identified socioeconomic factors, bias, and lack of education in minority populations as causes of increased mortality rates in melanoma. Moreover, because preventative dermatology is largely based on White skin types, incorporating darker skin tones into education will help dispel implicit bias. Additionally, there is evidence to indicate that current patient knowledge and understanding of skin cancer is inaccurate among many and can be significantly improved through educational interventions, such as brochures and videos. Further educational interventions may be beneficial to increase understanding of melanoma in populations of color to address health disparities in dermatological care.

The Impact of Artificial Intelligence on Health Equity in Oncology: Scoping Review

BACKGROUND

The field of oncology is at the forefront of advances in artificial intelligence (AI) in health care, providing an opportunity to examine the early integration of these technologies in clinical research and patient care. Hope that AI will revolutionize health care delivery and improve clinical outcomes has been accompanied by concerns about the impact of these technologies on health equity.

OBJECTIVE

We aimed to conduct a scoping review of the literature to address the question, "What are the current and potential impacts of AI technologies on health equity in oncology?"

METHODS

Following PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines for scoping reviews, we systematically searched MEDLINE and Embase electronic databases from January 2000 to August 2021 for records engaging with key concepts of AI, health equity, and oncology. We included all English-language articles that engaged with the 3 key concepts. Articles were analyzed qualitatively for themes pertaining to the influence of AI on health equity in oncology.

RESULTS

Of the 14,011 records, 133 (0.95%) identified from our review were included. We identified 3 general themes in the literature: the use of AI to reduce health care disparities (58/133, 43.6%), concerns surrounding AI technologies and bias (16/133, 12.1%), and the use of AI to examine biological and social determinants of health (55/133, 41.4%). A total of 3% (4/133) of articles focused on many of these themes.

CONCLUSIONS

Our scoping review revealed 3 main themes on the impact of AI on health equity in oncology, which relate to AI's ability to help address health disparities, its potential to mitigate or exacerbate bias, and its capability to help elucidate determinants of health. Gaps in the literature included a lack of discussion of ethical challenges with the application of AI technologies in low- and middle-income countries, lack of discussion of problems of bias in AI algorithms, and a lack of justification for the use of AI technologies over traditional statistical methods to address specific research questions in oncology. Our review highlights a need to address these gaps to ensure a more equitable integration of AI in cancer research and clinical practice. The limitations of our study include its exploratory nature, its focus on oncology as opposed to all health care sectors, and its analysis of solely English-language articles.

An HIT-Supported Care Coordination Framework for Reducing Structural Racism and Discrimination for Patients With ADRD

Black and Latinx Americans are disproportionately at greater risk for having Alzheimer's disease and related dementias (ADRD) than White Americans. Such differences in risk for ADRD are arguably explained through health disparities, social inequities, and historical policies. Structural racism and discrimination (SRD), defined as "macro-level conditions that limit opportunities, resources, and well-being of less privileged groups," have been linked with common comorbidities of ADRD, including hypertension, obesity, diabetes, depression. Given the historical impact of SRD-including discriminatory housing policies resulting in racial residential segregation that has been shown to limit access to education, employment, and healthcare-Black and Latinx populations with ADRD are directly or indirectly negatively affected by SRD in terms of access, quality and cost for healthcare. Emerging studies have brought to light the value of structural-level hospital and public health collaboration on care coordination for improving healthcare quality and access, and thus could serve as a macro-level mechanism for addressing disparities for minoritized racial and ethnic populations with ADRD. This paper presents a conceptual framework delineating how care coordination can successfully be achieved through health information technology (HIT) systems and ultimately address SRD. To address health inequities, it is therefore critical that policy initiatives invest in HIT capacities and infrastructures to promote care coordination, identify patient needs and preferences, and promote engagement of patients with ADRD and their caregivers.

Sex, Race, Insurance, and Pain: Do Patient Sociodemographics Influence Postoperative Opioid Prescriptions Among Hand Surgeons?

BACKGROUND

Social and demographic factors may influence patient treatment by physicians. This study analyzes the influence of patient sociodemographics on prescription practices among hand surgeons.

METHODS

We performed a retrospective analysis of all hand surgeries (N = 5278) at a single academic medical center from January 2016 to September 2018. The average morphine milligram equivalent (MME) prescribed following each surgery was calculated and then classified by age, race, sex, type of insurance, and history of substance use or chronic pain. Multivariate linear regression was used to compare MME among groups.

RESULTS

Overall, patients with a history of substance abuse were prescribed 31.2 MME more than those without (P < .0001), and patients with a history of chronic pain were prescribed 36.7 MME more than those without (P < .0001). After adjusting for these variables and the type of procedure performed, women were prescribed 11.2 MME less than men (P = .0048), and Hispanics were prescribed 16.6 MME more than whites (P = .0091) overall. Both Hispanic and black patients were also prescribed more than whites following carpal tunnel release (+19.0 and + 20.0 MME, respectively; P < .001). Patients with private insurance were prescribed 24.5 MME more than those with Medicare (P < .0001), but 25.0 MME less than those with Medicaid (P < .0001). There were no differences across age groups.

CONCLUSIONS

Numerous sociodemographic factors influenced postoperative opioid prescription among hand surgeons at our institution. These findings highlight the importance of establishing more uniform, evidence-based guidelines for postoperative pain management, which may help minimize subjectivity and prevent the overtreatment or undertreatment of pain in certain patient populations.

Municipal Ethnic Composition and Disparities in COVID-19 Infections in New Jersey: A Blinder-Oaxaca Decomposition Analysis

COVID-19 has disproportionally impacted Latinx and Black communities in the US. Our study aimed to extend the understanding of ethnic disparities in COVID-19 case rates by using a unique dataset of municipal case rates across New Jersey (NJ) during the first 17 months of the pandemic. We examined the extent to which there were municipal-level ethnic disparities in COVID-19 infection rates during three distinct spikes in case rates over this period. Furthermore, we used the Blinder-Oaxaca decomposition analysis to identify municipal-level exposure and vulnerability factors that contributed to ethnic disparities and how the contributions of these factors changed across the three initial waves of infection. Two clear results emerged. First, in NJ, the COVID-19 infection risk disproportionally affected Latinx communities across all three waves during the first 17 months of the pandemic. Second, the exposure and vulnerability factors that most strongly contributed to higher rates of infection in Latinx and Black communities changed over time as the virus, alongside medical and societal responses to it, also changed. These findings suggest that understanding and addressing ethnicity-based COVID-19 disparities will require sustained attention to the systemic and structural factors that disproportionately place historically marginalized ethnic communities at greater risk of contracting COVID-19.

Refining the process: Safety net dental professionals' experiences with teledentistry implementation during the first year of COVID-19

OBJECTIVES

Teledentistry helped dentistry adapt to pandemic-era challenges; little is known about dental professionals' teledentistry experiences during this time. This analysis sought to understand professionals' pandemic teledentistry experiences and expectations for the modality's future.

METHODS

We conducted virtual individual interviews (n = 21) via Zoom to understand how federally qualified health centers (FQHCs) delivered oral care during the first year of the pandemic, including but not limited to the use of teledentistry. We independently coded each transcript, then identified themes and sub-themes.

RESULTS

We identified three major themes: (1) Logistical and equity considerations shaped teledentistry's adoption; (2) Team-based factors influenced implementation; and (3) Teledentistry's future is as-yet undetermined.

CONCLUSIONS

Experiences with teledentistry during the first year of COVID-19 varied substantially. Future directions should be more deliberate to counter the urgency of pandemic-style implementation and must address appropriate use, reimbursement guidance, patient and provider challenges, and customizability to each clinic's context.

Assessing the Racial and Socioeconomic Disparities in Postpartum Depression Using Population-Level Hospital Discharge Data: Longitudinal Retrospective Study

BACKGROUND

In the United States, >3.6 million deliveries occur annually. Among them, up to 20% (approximately 700,000) of women experience postpartum depression (PPD) according to the Centers for Disease Control and Prevention. Absence of accurate reporting and diagnosis has made phenotyping of patients with PPD difficult. Existing literature has shown that factors such as race, socioeconomic status, and history of substance abuse are associated with the differential risks of PPD. However, limited research has considered differential temporal associations with the outcome.

OBJECTIVE

This study aimed to estimate the disparities in the risk of PPD and time to diagnosis for patients of different racial and socioeconomic backgrounds.

METHODS

This is a longitudinal retrospective study using the statewide hospital discharge data from Maryland. We identified 160,066 individuals who had a hospital delivery from 2017 to 2019. We applied logistic regression and Cox regression to study the risk of PPD across racial and socioeconomic strata. Multinomial regression was used to estimate the risk of PPD at different postpartum stages.

RESULTS

The cumulative incidence of PPD diagnosis was highest for White patients (8779/65,028, 13.5%) and lowest for Asian and Pacific Islander patients (248/10,760, 2.3%). Compared with White patients, PPD diagnosis was less likely to occur for Black patients (odds ratio [OR] 0.31, 95% CI 0.30-0.33), Asian or Pacific Islander patients (OR 0.17, 95% CI 0.15-0.19), and Hispanic patients (OR 0.21, 95% CI 0.19-0.22). Similar findings were observed from the Cox regression analysis. Multinomial regression showed that compared with White patients, Black patients (relative risk 2.12, 95% CI 1.73-2.60) and Asian and Pacific Islander patients (relative risk 2.48, 95% CI 1.46-4.21) were more likely to be diagnosed with PPD after 8 weeks of delivery.

CONCLUSIONS

Compared with White patients, PPD diagnosis is less likely to occur in individuals of other races. We found disparate timing in PPD diagnosis across different racial groups and socioeconomic backgrounds. Our findings serve to enhance intervention strategies and policies for phenotyping patients at the highest risk of PPD and to highlight needs in data quality to support future work on racial disparities in PPD.

National Trends in Hospitalization for Ambulatory Care Sensitive Conditions among Korean Adults between 2008 and 2019

PURPOSE

This study aimed to examine 12-year trends in hospitalization rates for ambulatory care sensitive conditions (ACSC) and factors affecting hospitalization.

MATERIALS AND METHODS

This study used data on Korean National Health Insurance and Medical Aid patients aged 19 and over who used medical services at least once between January 2008 and December 2019 with an ACSC as their major diagnosis. As of 2019, a total of 12324071 patients were included. To check for any changes in hospitalization, age- and sex-standardized hospitalization rates were obtained for each condition and insurance type, and multiple logistic regression was performed to identify factors affecting hospitalization.

RESULTS

The collective average ACSC hospitalization rate decreased from 5.0% in 2008 to 4.2% in 2019. Specifically, hospitalization rates for hypertension (1.4% in 2008; 0.8% in 2019), diabetes (5.8% in 2008; 3.3% in 2019), and chronic obstructive pulmonary disease and asthma (4.1% in 2008; 3.2% in 2019) decreased, while rates for pneumonia (24.5% in 2008; 28.1% in 2019) and urinary tract infection (UTI) (5.7% in 2008; 6.4% in 2019) increased. The rate for heart failure decreased 2.3% between 2008 and 2012 and then rebounded. The odds of hospitalization among Medical Aid patients were 1.45-4.20 times higher than those of National Health Insurance patients.

CONCLUSION

Differences in trends were confirmed for ACSC hospitalization rates among different conditions and insurance types in Korea. These results suggest the need for policy reforms aimed at reducing hospitalization for heart failure, pneumonia, and UTI, especially among Medical Aid patients.