Impact of comorbidities on people with and without cancer early in the COVID-19 pandemic: An observational study.

BACKGROUND: The present study sought to investigate how comorbidity burden influences cancer survivors' quality of life (QoL) and the challenges/adaptations during the coronavirus disease 2019 (COVID) pandemic, and to examine how appraisal processes are related to this impact. METHODS: This cross-sectional study, administered in spring/summer 2020, compared cancer survivors to a general-population comparison sample. QoL was assessed with standardized tools. COVID-specific questions included selected items compiled by the US National Institutes of Health, and cognitive appraisal processes were assessed using the QoL Appraisal Profilev2 Short-Form. Principal components analysis reduced the number of comparisons. Multivariate analysis of covariance investigated group differences in QoL, COVID-specific variables, and cognitive-appraisal processes. Linear regression investigated group differences in COVID-specific variables as a function of cognitive-appraisal processes, QoL, demographic covariates, and their interactions. RESULTS: Cancer survivors fared substantially better than non-cancer participants in QoL and cognitive functioning when they had no other comorbidities, but substantially worse on QoL when they had three or more comorbidities. Cancer survivors with no comorbidities were less likely to feel worried about COVID, less likely to engage in self-protection, and prioritized engaging in problem-focused and prosocial actions compared to non-cancer participants. Conversely, cancer survivors confronted with multiple comorbidities exhibited more proactive self-protection and experienced more anxiety about the pandemic. CONCLUSION: The impact of having multiple comorbidities in the context of cancer is associated with notable differences in social determinants of health, QoL outcomes, COVID-specific challenges/adaptations, and appraisal of QoL. These findings provide an empirical basis for implementing appraisal-based coping interventions.

The Psychological Antecedents to COVID-19 Vaccination among Community Pharmacists in Khartoum State, Sudan.

Background and Objectives: Little is known regarding the 5C psychological antecedents to COVID-19 vaccination among pharmacists in low- and middle-income countries. This study aimed to assess the acceptance of COVID-19 vaccination and its psychological antecedents among community pharmacists in Khartoum State, Sudan. Materials and Methods: A cross-sectional study was conducted from July to September 2022. A self-administered questionnaire was used to collect data about sociodemographic and health status characteristics, vaccine acceptance, and the 5C psychological antecedents to vaccination. Stepwise logistic regression analysis was conducted, and results were presented using odds ratios (ORs) and their corresponding 95% confidence intervals (CIs). Results: A total of 382 community pharmacists participated in the current study, with a mean age of 30.4 ± 5.6 years. Nearly two-thirds of the participants (65.4%) were females, and the majority (74.9%) have received or intended to receive the COVID-19 vaccination. Vaccine acceptance was significantly associated with the following psychological antecedents to vaccination: confidence, complacency, constraints, and calculation (p < 0.001). Results of the logistic regression showed that confidence in vaccines [OR = 6.82 (95% CI = 3.14-14.80)], conspiracy beliefs [OR = 0.44 (95% CI = 0.23-0.85)], and constraints to vaccination [OR = 0.18 (95% CI = 0.06-0.56)] were the significant determinants of vaccine acceptance. Conclusion: The study revealed important predictors of COVID-19 vaccine acceptance that can be used to guide policymakers in designing target-oriented interventions that can improve the vaccine acceptance rate among community pharmacists in Sudan. These findings suggest that interventions to promote vaccine acceptance among pharmacists should focus on building confidence in vaccines and providing accurate information about the safety and efficacy of the COVID-19 vaccine, and reducing constraints to vaccination.

Determinants of COVID-19 vaccine uptake among Nigerians: evidence from a cross-sectional national survey.

BACKGROUND: COVID-19 ranks as one of the largest public health threats in recent times. It is associated with huge health, economic and social consequences. Although vaccination is an effective control measure, COVID-19 vaccine uptake has been suboptimal in many low/middle income countries. Hence this study assessed the factors influencing COVID-19 vaccine uptake among Nigerian households. DATA AND METHODS: This study analyzed secondary data from the COVID-19 High-Frequency Phone Survey of Households that was collected by the National Bureau of Statistics between November 2021 and January 2022. Relevant data were analyzed using descriptive statistical tools and the Multivariate Regression model. RESULTS: Out of 2370 respondents, only 32.8% of the respondents were vaccinated against COVID-19. Respondents living in urban areas (34.4%) had a higher level of COVID-19 vaccine uptake relative to those living in rural Nigeria (30.9%). Results from the Multivariate Regression model revealed that adults aged ≥ 60 years (OR 2.20; p = 0.012), respondents with primary (OR 1.72; p = 0.032), secondary (OR 1.77; p = 0.025) and tertiary education (OR 3.03; p < 0.001), respondents with access to health insurance (OR 1.68; p = 0.004), those who obtained vaccine information from health workers (OR 3.92; p < 0.001), the government (OR 3.22; p < 0.001), and the mass media (OR 1.75; p = 0.003) were more likely to be vaccinated. Also, respondents living in North Central (OR 2.02; p < 0.001), North East (OR 1.48; p = 0.039), South West (OR 2.63; p < 0.001), and South South (OR 1.49; p = 0.031) regions had higher odds of being vaccinated. CONCLUSIONS: The study recommends increased media campaigns and advocacy for COVID-19 vaccination in the South East and North West regions. Persons with no formal education and younger persons aged 18-29 years should be targeted with COVID-19 vaccine-related information given that they were less likely to be vaccinated. Dissemination of relevant information through government sources, mass media and health workers is encouraged so as to positively influence decisions to receive COVID-19 vaccines among citizens.

The Impact of Pandemic Concerns on Consumers' Teledentistry Use During the First Months of the COVID-19 Pandemic.

OBJECTIVES: The COVID-19 pandemic affected consumers' access to oral health care. This study evaluated factors associated with teledentistry use among US adults from June 2019 through June 2020. METHODS: We used data from a nationally representative survey of 3500 consumers. We estimated teledentistry use and adjusted associations with respondents' concerns about the impacts of the pandemic on health and welfare and with their sociodemographic characteristics using Poisson regression models. We also analyzed teledentistry use across 5 teledentistry modalities (email, telephone, text, video conferencing, and mobile application). RESULTS: Overall, 29% of respondents used teledentistry, and 68% of teledentistry users reported doing so for the first time because of the COVID-19 pandemic. First-time teledentistry use was positively associated with a high level of pandemic concerns (relative risk [RR] = 5.02; 95% CI, 3.49-7.20), age 35-44 years (RR = 4.22; 95% CI, 2.89-6.17), and annual household income $100 000-$124 999 (RR = 2.10; 95% CI, 1.55-2.84) and negatively associated with rural residence (RR = 0.68; 95% CI, 0.50-0.94). Having a high level of pandemic concerns (RR = 3.42; 95% CI, 2.30-5.08), young age (age 25-34 years: RR = 5.05; 95% CI, 3.23-7.90), and higher level of education (some college: RR = 1.59; 95% CI, 1.22-2.07) were strongly associated with teledentistry use for all "other" users (ie, existing or first-time use because of reasons unrelated to the pandemic). Most first-time teledentistry users used email (74.2%) and mobile applications (73.9%), whereas "other" teledentistry users used telephone communication (41.3%). CONCLUSIONS: Teledentistry use during the pandemic was higher in the general population than among those for whom teledentistry programs were originally designed (eg, low-income, rural populations). Favorable regulatory changes to teledentistry should be expanded to meet patient needs beyond the pandemic.

Global Mental Health: Where We Are and Where We Are Going.

PURPOSE OF REVIEW: To summarize recent findings in global mental health along several domains including socioeconomic determinants, inequities, funding, and inclusion in global mental health research and practice. RECENT FINDINGS: Mental illness continues to disproportionately impact vulnerable populations and treatment coverage continues to be low globally. Advances in integrating mental health care and adopting task-shifting are accompanied by implementation challenges. The mental health impact of recent global events such as the COVID-19 pandemic, geo-political events, and environmental change is likely to persist and require coordinated care approaches for those in need of psychosocial support. Inequities also exist in funding for global mental health and there has been gradual progress in terms of building local capacity for mental health care programs and research. Lastly, there is an increasing effort to include people with lived experiences of mental health in research and policy shaping efforts. The field of global mental health will likely continue to be informed by evidence and perspectives originating increasingly from low- and middle-income countries along with ongoing global events and centering of relevant stakeholders.

How the COVID-19 Pandemic Influenced HIV Care: Are We Prepared Enough for Future Pandemics? An Assessment of Factors Influencing Access, Utilization, Affordability, and Motivation to Engage with HIV Services amongst African, Caribbean, and Black Women.

The COVID-19 pandemic resulted in disruption in healthcare delivery for people living with human immunodeficiency virus (HIV). African, Caribbean, and Black women living with HIV (ACB WLWH) in British Columbia (BC) faced barriers to engage with HIV care services prior to the COVID-19 pandemic that were intensified by the transition to virtual care during the pandemic. This paper aims to assess which factors influenced ACB WLWH's access to, utilization and affordability of, and motivation to engage with HIV care services. This study utilized a qualitative descriptive approach using in-depth interviews. Eighteen participants were recruited from relevant women's health, HIV, and ACB organizations in BC. Participants felt dismissed by healthcare providers delivering services only in virtual formats and suggested that services be performed in a hybrid model to increase access and utilization. Mental health supports, such as support groups, dissolved during the pandemic and overall utilization decreased for many participants. The affordability of services pertained primarily to expenses not covered by the provincial healthcare plan. Resources should be directed to covering supplements, healthy food, and extended health services. The primary factor decreasing motivation to engage with HIV services was fear, which emerged due to the unknown impact of the COVID-19 virus on immunocompromised participants.

Associations Between Insurance, Race and Ethnicity, and COVID-19 Hospitalization, Beyond Underlying Health Conditions: A Retrospective Cohort Study.

Introduction: : People of lower socioeconomic position (SEP) and people of color (POC) experience higher risks of severe COVID-19, but understanding of these associations beyond the effect of underlying health conditions (UHCs) is limited. Moreover, few studies have focused on young adults, who have had the highest incidence of COVID-19 during much of the pandemic. Methods: : We conducted a retrospective cohort study using electronic health record data from the University of Washington Medicine healthcare system. Our study population included individuals aged 18-39 years who tested positive for SARS-CoV-2 from February 2020 to March 2021. Using regression modeling, we estimated adjusted risk ratios (aRRs) and differences (aRDs) of COVID-19 hospitalization by SEP (using health insurance as a proxy) and race and ethnicity. We adjusted for any UHC to examine these associations beyond the effect of UHCs. Results: Among 3,101 individuals, the uninsured/publicly insured had a 1.9-fold higher risk of hospitalization (aRR [95% CI]=1.9 [1.0, 3.6]) and 9 additional hospitalizations per 1,000 SARS-CoV-2 positive persons (aRD [95% CI]=9 [-1, 20]) compared to the privately insured. Hispanic or Latine, non-Hispanic (NH) Asian, NH Black, and NH Native Hawaiian or Pacific Islander patients had a 1.5-, 2.7-, 1.4-, and 2.1-fold-higher risk of hospitalization (aRR [95% CI]=1.5 [0.7, 3.1]; 2.7 [1.1, 6.5]; 1.4 [0.6, 3.3]; 2.1 [0.5, 9.1]), respectively, compared to NH White patients. Conclusions: Though they should be interpreted with caution given low precision, our findings suggest the increased risk of COVID-19 hospitalization among young adults of lower SEP and young adults of color may be driven by forces other than UHCs, including social determinants of health.

Clinical and Socio-Demographic Variables Associated With Long COVID-19: A Cross-Sectional Study.

Considering the importance of long COVID-19 (LC), this study aimed to investigate the relationship between clinical/sociodemographic factors and LC symptoms (LCS). This online cross-sectional study was conducted on 308 people infected with COVID-19 in Alborz, Iran, from April 1 to June 1, 2022. Multivariable logistic regression models were applied to measure the association between the LCS with other variables. Overall, 76.6% of participants had at least one LCS. Results from the multivariate logistic regression analysis showed that females (crude odds ratio [OR] [95% confidence interval (CI)]: 2.725 [1.42, 5.22]), educated persons (3.747 [1.58, 8.84]), people with a higher number of COVID-19 reinfection (2.280 [1.30, 3.97]), having an underlying disease (1.996 [1.01, 3.93]), and COVID-19 severity (3.321 [1.037, 10.635]) had higher odds of LC than others (all p < .05). Study findings provide additional clinical/sociodemographic data on risk for LC. These data may inform future research and clinical practice for potential risk identification and early intervention.

Preliminary Pilot-Testing of Social Determinants of Health Screener for Individuals With Intellectual and Developmental Disabilities in Med-Peds.

In the United States, one in six children has an intellectual and/or developmental disability (I/DD), including attention deficit hyperactivity disorder (ADHD), autism, cerebral palsy, learning disabilities, seizures, and developmental delays, with or without intellectual impairment. Individuals with I/DDs experience disproportionate rates of immune, metabolic, cardiovascular, and neurological disorders, as well as anxiety, depression, functional somatic symptoms, and other co-occurring physical and mental health conditions. During the coronavirus disease 2019 (COVID-19) pandemic, having an I/DD emerged as one of the strongest predictors of contracting and dying from COVID-19. These findings spurred increased attention toward the myriad health inequities affecting this population well before the pandemic. While inequities for individuals with I/DD can be traced to many factors, social determinants of health (SDOH) - the underlying social, economic, and environmental conditions that lead to poor health outcomes and high healthcare costs - are key contributors. Our interdisciplinary combined internal medicine and pediatrics (Med-Peds) team of physicians, psychologists, and researchers within a large, diverse, academic health system aimed to pilot-test the implementation of a five-item SDOH screener within a Med-Peds specialty clinic focused on the developmental needs of individuals with I/DD and their families (Leadership Education in Neurodevelopmental Disabilities {LEND}) and a general primary care practice (PCP). The SDOH screener tested in this initiative includes five items from the Accountable Health Communities (AHC) Health-Related Social Needs Screening Tool (HRSN) assessing social isolation, food insecurity, transportation, and paying for basic needs, such as housing and medical care. In this study, we describe the process of implementing this screener and collecting initial pilot data from 747 patients between October 2022 and April 2023 across the LEND and the primary care practice. We also highlight the challenges and opportunities identified during the mid-way point of implementation and pilot testing. The results of this pilot study revealed low response rates among SDOH screeners, spurring several measures to increase uptake, including increasing the accessibility of the screener and ensuring the screener results in effective referrals. We call on additional Med-Peds healthcare teams without universal SDOH screening protocols in place - particularly those serving the I/DD population - to consider adopting these practices.

Understanding inequalities in mental health by family structure during COVID-19 lockdowns: evidence from the UK Household Longitudinal Study.

PURPOSE: The COVID-19 pandemic increased psychiatric distress and impacts differed by family structure. We aimed to identify mechanisms contributing to these inequalities. METHODS: Survey data were from the UK Household Longitudinal Study. Psychiatric distress (GHQ-12) was measured in April 2020 (first UK lockdown; n = 10,516), and January 2021 (lockdown re-introduced following eased restrictions; n = 6,893). Pre-lockdown family structure comprised partner status and presence of children (< 16 years). Mediating mechanisms included: active employment, financial strain, childcare/home-schooling, caring, and loneliness. Monte Carlo g-computation simulations were used to adjust for confounding and estimate total effects and decompositions into: controlled direct effects (effects if the mediator was absent), and portions eliminated (PE; representing differential exposure and vulnerability to the mediator). RESULTS: In January 2021, after adjustment, we estimated increased risk of distress among couples with children compared to couples with no children (RR: 1.48; 95% CI 1.15-1.82), largely because of childcare/home-schooling (PE RR: 1.32; 95% CI 1.00-1.64). Single respondents without children also had increased risk of distress compared to couples with no children (RR: 1.55; 95% CI 1.27-1.83), and the largest PE was for loneliness (RR: 1.16; 95% CI 1.05-1.27), though financial strain contributed (RR: 1.05; 95% CI 0.99-1.12). Single parents demonstrated the highest levels of distress, but confounder adjustment suggested uncertain effects with wide confidence intervals. Findings were similar in April 2020 and when stratified by sex. CONCLUSION: Access to childcare/schooling, financial security and social connection are important mechanisms that need addressing to avoid widening mental health inequalities during public health crises.

"I just wanted money for food": a qualitative study of the experiences of Australians during the COVID-19 pandemic.

Aim: The social and economic impacts that have occurred during the COVID-19 pandemic can disproportionally affect those already experiencing poverty or at risk of poverty. Therefore, this study sought to explore the relationship between well-being and social determinants of health among Australian adults during the pandemic. Subject and Methods: Semi-structured interviews were undertaken with 20 participants, aged 21-65 years, from various socioeconomic areas. Results: Three main themes emerged from the analysis of the data: food security; housing outcomes; and psychological and emotional impact. Participants in low socioeconomic areas struggled with food security, having to access food banks, which was precipitated by employment loss during the pandemic. Some female participants experienced worsening inequalities and lack of financial and housing stability, affecting their overall well-being. Conclusion: This study identified that there was a clear social divide between adults living in low socioeconomic areas compared with those living in high socioeconomic areas, with participants in low socioeconomic areas faring worse in terms of exacerbated social determinants of health and consequent impacts on well-being.

Sociodemographic and clinical predictors for COVID-19 preventive measures compliance among pregnant women in Saudi Arabia: a multicenter study.

OBJECTIVE: To assess the levels of adherence among pregnant women to the basic COVID-19 preventive measures, and to analyze the effect of risk perception and sociodemographic and clinical factors on adherence. METHOD: A multicenter, cross-sectional study was conducted at the obstetrics clinics of 50 primary care centers selected using a multistage sampling method. An online-administered, structured questionnaire was used to collect self-reported levels of adherence to four basic preventive measures against COVID-19, along with perceived COVID-19 severity, infectiousness, and harmfulness to the baby, besides sociodemographic and clinical data including obstetrical and other medical history. RESULTS: A total of 2460 pregnant women were included with a mean (SD) age of 30.21 (6.11) years. Levels of self-reported compliance were highest for hand hygiene (95.7%), followed by social distancing (92.3%), masking (90.0%), and avoidance of contact with a COVID-19 infected person (70.3%). Perceived COVID-19 severity and infectiousness, and harmfulness to the baby were observed in 89.2%, 70.7%, and 85.0% of the participants, respectively, and were variably associated with compliance to preventive measures. Analysis of sociodemographic factors highlighted the significance of education and economic status in determining adherence to preventive measures, which represents a potential inequity in the risk of COVID-19 infection. CONCLUSION: This study highlights the importance of patients' education to enable functional perception of COVID-19 that promotes self-efficacy, besides investigating the specific social determinants of health to tackle inequalities in terms of prevention efficiency and the subsequent health outcomes.

Individual and environmental bicycling determinants during a pandemic.

Introduction: Research has identified many factors associated with bicycling, but little is known on their relative influence for an individual's decision to bicycle or what led to the surge in bicycling during the COVID-19 pandemic in the U.S. Methods: Our research leverages a sample of 6735 U.S. adults to identify key predictors and their relative influence on both increased bicycling during the pandemic and on whether an individual commutes by bicycle. LASSO regression models identified a reduced set of predictors for the outcomes of interest from 55 determinants included in the modeling. Results: We find individual and environmental factors have a role in explaining the shift towards bicycling-with key differences in predictors for increased overall cycling during the pandemic compared to bicycle commuting. Conclusions: Our findings add to the evidence base that policies can impact bicycling behavior. Specifically, increasing e-bike accessibility and limiting residential streets to local traffic are two policies that show promise for encouraging bicycling.

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.

Using the social vulnerability index to assess COVID-19 vaccine uptake in Louisiana.

Using data from the Louisiana Department of Public Health, we explored the spatial relationships between the Social Vulnerability Index (SVI) and COVID-19-related vaccination and mortality rates. Publicly available COVID-19 vaccination and mortality data accrued from December 2020 to October 2021 was downloaded from the Louisiana Department of Health website and merged with the SVI data; geospatial analysis was then performed to identify the spatial association between the SVI and vaccine uptake and mortality rate. Bivariate Moran's I analysis revealed significant clustering of high SVI ranking with low COVID-19 vaccination rates (1.00, p < 0.001) and high smoothed mortality rates (0.61, p < 0.001). Regression revealed that for each 10% increase in SVI ranking, COVID-19 vaccination rates decreased by 3.02-fold (95% CI = 3.73-2.30), and mortality rates increased by a factor of 1.19 (95% CI = 0.99-1.43). SVI values are spatially linked and significantly associated with Louisiana's COVID-19-related vaccination and mortality rates. We also found that vaccination uptake was higher in whites than in blacks. These findings can help identify regions with low vaccination rates and high mortality, enabling the necessary steps to increase vaccination rates in disadvantaged neighborhoods.

Leveraging Population Health Datasets to Advance Maternal Health Research.

BACKGROUND: Maternal mortality is a public health crisis in the U.S., with no improvement in decades and worsening disparities during COVID-19. Social determinants of health (SDoH) shape risk for morbidity and mortality but maternal structural and SDoH are under-researched using population health data. To expand knowledge of those at risk for or who have experienced maternal morbidity and inform clinical, policy, and legislative action, creative use of and leveraging existing population health datasets is logical and needed. METHODS: We review a sample of population health datasets and highlight recommended changes to the datasets or data collection to better inform existing gaps in maternal health research. RESULTS: Across each of the datasets we found insufficient representation of pregnant and postpartum individuals and provide recommendations to enhance these datasets to inform maternal health research. CONCLUSIONS: Pregnant and postpartum individuals should be oversampled in population health data to facilitate rapid policy and program evaluation. Postpartum individuals should no longer be hidden within population health datasets. Individuals with pregnancies resulting in outcomes other than livebirth (e.g., abortion, stillbirth, miscarriage) should be included, or asked about these experiences.

SIGNIFICANCE: We review population health datasets and provide recommendations that would enable maternal health researchers to unlock the full potential of these datasets by exploring the influence of structural factors and SDoH on maternal health among under-researched groups.

social welfare advice and health among young people: a scoping review

Social determinants of mental and physical health that influence young peoples' trajectories into adulthood are often remediable through law. To address inequalities, including those exacerbated since the COVID-19 pandemic, there is a need to better understand young people's need for and uptake of advice for social welfare legal problems. This scoping review aimed to review available evidence and identify gaps to inform further research. To identify studies relevant to social welfare legal advice among young adults we conducted searches of eight bibliographic databases (compiled between January 1998 and June 2020), hand searches of included article reference lists and targeted grey literature searches. 35 peer reviewed and grey literature studies were selected based on inclusion and exclusion criteria including evaluations of interventions to promote access to advice, general population surveys, observational studies, and audits of charity data or targeted surveys. Evidence suggests considerable and inequitable need for social welfare legal advice among young adults with adverse consequences for health and wellbeing. Needs among higher risk groups are likely underestimated. Evidence for interventions to enhance access/uptake of advice is limited and methodologically weak. We identify several gaps in the literature to inform research and to enable systematic reviews around more specific questions to inform practice.

Differences in Disease Burden and Treatment Utilization By Socioeconomic Status Among a Large Cohort of Patients with COVID-19 Diagnosis in the United States

Objectives: Social determinants of health (SDoH) including income, education, employment, and housing are known to affect health outcomes;while use in real-world database studies are limited. This study assessed socioeconomic differences in burden of disease and utilization of COVID-19 specific medications in a large cohort of patients in the US. Method(s): A total of 17,682,111 patients having a COVID-19 diagnosis between 4/1/2020 and 4/30/2022 were identified in the IQVIA longitudinal medical and pharmacy claims databases of >277 million patients. For SDoH, a 3-digit zip code median Area Deprivation Index (ADI) (v2.0 University of Wisconsin School of Medicine and Public Health 2015) was calculated for each patient, maintaining patient privacy. The ADI is a validated tool ranking neighborhoods by socioeconomic disadvantage. Medical and pharmacy utilization was assessed and stratified by ADI pentiles, where 0-20 was the least disadvantaged, and 81-100 was the most disadvantaged. Result(s): The proportion of patients having a claim with COVID-19 diagnosis was higher in the most disadvantaged (7.75%) compared to the least disadvantaged group (5.94%) (US overall: 6.37%). Medical claims prior to COVID-19 diagnosis were highest in the least disadvantaged, while prior pharmacy utilization was highest in the most-disadvantaged group. There was sparse use of COVID-19 medications overall;the least disadvantaged patients had the lowest use of COVID-19 specific medications. Casirivimab/imdevimab use was highest in the 61-80 (2.01%) and 81-100 (1.79%) ADI groups, and remdesivir use was highest in the moderately disadvantaged (ADI 41-60 and 61-80) groups (both 2.33%). Utilization of hydroxychloroquine (unapproved for COVID-19) increased from 0.91% in the least to 2.13% in the most disadvantaged groups. Conclusion(s): This study shows unequal burden of COVID-19 prevalence by SDoH, with the most disadvantaged having a higher disease burden and utilization of certain approved and unapproved COVID-19 medications, highlighting the need for further study of the reasons for these disparities.Copyright © 2023

Innovative Methods for Integrating Social Determinants of Health Data with Administrative Claims to Facilitate Health Equity Research

Objectives: The Covid-19 pandemic highlighted the importance of considering Social Determinants of Health (SDoH) in healthcare research. Administrative claims databases are widely used for research, but often lack SDoH data or sufficient transparency in how these data were obtained. This study describes innovative methods for integrating SDoH data with administrative claims to facilitate health equity research. Method(s): The HealthCore Integrated Research Database (HIRD) contains medical and pharmacy claims from a large, national US payer starting in 2006 and includes commercial (Comm), Medicare Advantage (MCare), and Medicaid (MCaid) populations. The HIRD includes individually identifiable information, which was used for linking with SDoH data from the following sources: national neighborhood-level data from the American Community Survey, the Food Access Research Atlas, and the National Center for Health Statistics' urbanicity classification;and member-level data on race/ethnicity from enrollment files, medical records, self-attestation, and imputation algorithms. We examined SDoH metrics for members enrolled as of 05-July-2022 and compared them to the respective US national data using descriptive statistics. We also examined telehealth utilization in 2022. Result(s): SDoH data were available for ~95% of currently active members in the HIRD (Comm/MCare/MCaid 12.5m/1m/7.6m). Socioeconomic characteristics at the neighborhood-level differed by membership type and vs. national data: % of members with at least a high-school education (90/88/84 vs. 87);median family income ($98k/$76k/$70k vs. $82k);% of members living in low-income low-food-access tracts (9/14/18 vs. 13);urban (57/52/47 vs. 61). At the member-level, the % of White Non-Hispanics, Black Non-Hispanics, Asian Non-Hispanics, and Hispanics were 61/6/5/6 (Comm), 76/12/2/2 (MCare), and 45/26/5/19 (MCaid). Imputation contributed 15-60% of race/ethnicity values across membership types. Telehealth utilization increased with socioeconomic status. Conclusion(s): We successfully integrated SDoH data from a variety of sources with administrative claims. SDoH characteristics differed by type of insurance coverage and were associated with differences in telehealth utilization.Copyright © 2023