Publications by authors named "Chinedum Ojinnaka"

Background: Missed clinic appointments disproportionately affect Medicaid-insured patients and residents of socioeconomically deprived neighborhoods. The role of the recent telemedicine expansion in reducing these disparities is unclear. We analyzed the relationship between census tract (CT) poverty level, residential segregation, missed appointments, and the role of telemedicine.

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Introduction: The COVID-19 pandemic necessitated a major expansion in telemedicine use. The continued use of telemedicine post-pandemic has the potential to enhance healthcare use for people at risk for sub-optimal healthcare access and utilization, such as patients with previous preventable hospitalization. This study analyzed the association between pre-pandemic preventable hospitalizations (PPHs) and telemedicine use during the pandemic.

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Supplemental Nutrition Assistance Program (SNAP) participants tend to have unhealthier dietary consumption compared to eligible non-participants. It has been suggested, though never empirically tested, that individuals who enroll in SNAP may have unhealthy diets prior to program participation. Using a longitudinal cohort study design, we examined the association between low-income adults' SNAP participation status and prior dietary behaviors to test the argument that individuals with unhealthier dietary consumption self-select into SNAP.

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Background: This study examined access to technology, internet usage, and online health information-seeking behaviors, in a racially diverse, lower-income population.

Methods: Data were obtained via a cross-sectional survey of low-income communities in Houston, Los Angeles, and New York between April and August 2023. Binary responses to the following online health information-seeking behaviors, internet and technology access, were examined: using the internet to (i) understand a medical diagnosis, (ii) fill a prescription, (iii) schedule a healthcare appointment, (iv) email communication with a healthcare provider, and (v) access electronic health records and medical notes.

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Introduction: Missed appointments also known as no-shows adversely affect clinical outcomes, clinic efficiency, and quality of care and have been attributed to barriers such as work schedule conflicts and lack of transportation. The widespread telemedicine implementation and adoption that has occurred as a consequence of the COVID-19 pandemic has the potential to address these barriers and improve missed appointment rates. This study aims to analyze the relationship between telemedicine and missed appointments.

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Background: Social connectedness is a key determinant of health and interventions have been developed to prevent social isolation in older adults. However, these interventions have historically had a low participation rate amongst minority populations. Given the sustained isolation caused by the COVID-19 pandemic, it is even more important to understand what factors are associated with an individual's decision to participate in a social intervention.

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Objective: We examined the association between food insecurity and positive childhood experiences (PCE).

Design: Outcome measure was number of PCE and seven PCE constructs. Food insecurity was assessed with a three-category measure that ascertained whether the respondent could afford and choose to eat nutritious food.

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Background: Black people are more likely to be diagnosed with hypertension and to experience food insecurity and antihypertensive medication non-adherence compared to White people in the U.S. The Supplemental Nutrition Assistance Program (SNAP)-a means-tested program that targets food insecurity has been shown to affect health outcomes.

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Using administrative records from Missouri, we investigate the characteristics of Supplemental Nutrition Assistance Program (SNAP) participants aged 60 and older who experience administrative churn. Among these adults, 1 in 4 experienced administrative churn, and 1 in 5 experienced more than one spell of churn. Risk of churn, frequency, duration of churn spells, and the value of foregone SNAP benefits varied with individual, household, and geographic characteristics, and was more common among non-whites, members of larger households, and those living in urban areas.

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Background: Food insecurity has been associated with medication non-adherence among individuals living with chronic diseases like hypertension. The relationship between Supplemental Nutrition Assistance Program (SNAP)-a public program that addresses food insecurity-and Medication adherence among older Medicaid-insured adults living with hypertension is not clear.

Objective: To analyze the association between patterns of SNAP participation and adherence to antihypertensive medications among older Medicaid-insured individuals.

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We used functional magnetic resonance imaging (fMRI) to investigate cross-sectional differences in functional connectivity across cognitive networks at rest among age and sex matched college students with very low food security [food insecurity (FI); n = 20] and with high food security (n = 20). The participants completed the Behavior Rating Inventory of Executive Function-2 (BRIEF-2) and Adverse Childhood Experiences (ACEs) questionnaires. Seven-minute resting-state fMRI scans were collected.

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Context: Food insecurity (FI) and adverse childhood experiences (ACEs) disproportionally affect vulnerable populations and are key social determinants of health that predict nutrition-related outcomes. It is critical to understand how FI and ACEs are interrelated so prevention studies can be designed to better promote health equity.

Objective: A systematic literature review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses to determine the association between FI and ACEs.

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Background: The Coronavirus Aid, Relief, and Economic Security (CARES) Act led to the rapid implementation of telemedicine across healthcare office settings. This innovation has the potential to improve healthcare use and ensure continuity of care. However, this delivery model could have an unintended consequence of worsening racial/ethnic disparities in healthcare utilization if adoption varies across sub-populations.

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Objectives: To describe the process of developing and implementing experiential learning through translational research teams that engage diverse undergraduate and graduate students.

Methods: After a college redesign, translational research teams were developed to foster multidisciplinary research and better integrate students with faculty research, community, and clinical activities. Three primary approaches were used to engage undergraduate and graduate students in the maternal and child health translational research team (MCH TrT).

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Objective: To determine the association between food insecurity and disordered eating behaviors (DEBs) in undergraduate college students.

Methods: Cross-sectional data of college students (n = 533) were collected from February to April 2020. Food security was measured with the US Department of Agriculture's Adult Food Security Survey Module.

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The purpose of this study was to examine screening mammography prevalence and its associated beliefs among a multi-ethnic sample of low-income, uninsured women. Data pertaining to the sample's demographic characteristics, mammography screening history and beliefs, and knowledge on recommended screening age were analyzed (n=533). Overall, 22.

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Background: Non-Hispanic Blacks continue to have worse cancer outcomes than non-Hispanic Whites. Suboptimal health care utilization and poor self-reported health among non-Hispanic Blacks contribute to these disparities. The relationship between race, food security status (FSS), and health care utilization or self-reported health among cancer survivors is not clear.

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The relationship between county food insecurity (FI) rate and breast cancer stage at diagnosis is not clear. Using 2010-2016 Surveillance Epidemiology and End Results (SEER) and Feeding America data we analyzed the association between county FI rate in quartiles (low, medium, high, very high) and breast cancer stage at diagnosis among adult females (≥18 years). We also analyzed the effect of insurance status and county poverty level on this relationship, and whether this relationship varies among non-elderly (<65 years) and elderly (≥ 65 years) individuals.

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The burdens of chronic diseases such as hypertension and diabetes for older Americans are profound. Yet, data on the population-level prevalence of hypertension and diabetes among the older adult Supplemental Nutritional Assistance Program (SNAP) population and the associated level of medication adherence is lacking despite evidence of the "treat or eat" trade-off in the general population. We used linked administrative data from SNAP and Medicaid between 2006 and 2014 in the state of Missouri to document rates of hypertension or diabetes diagnoses and medication adherence.

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The COVID-19 pandemic has dramatically altered the landscape of health care delivery, prompting a rapid, widespread adoption of telehealth in primary care practices. Using a pooled sample of 1,344 primary care clinics in Texas, we examined the adoption of telehealth in Texas during the initial months of the COVID-19 pandemic, by comparing medically underserved area (MUA) clinics and non-medically underserved area (non-MUA) clinics. Our analysis suggests that compared with MUA clinics, clinics in non-MUAs were more likely to conduct a majority of their visits via telehealth before May 1st, 2020.

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Health information technology (HIT) can enhance optimal health care access and utilization among individuals living with chronic diseases. This study aimed to provide population-level information on racial/ethnic disparities in HIT use and associated trends among those living with chronic diseases. The study sample consisted of adult respondents (≥18 years) of the 2011-2018 National Health Interview Survey living with at least 1 chronic condition.

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Reports suggest that COVID-19 affects people of color disproportionately. Texas ranks second in the count of confirmed US cases. This study examined the relationship between county-level racial/ethnic composition and COVID-19 testing/cases in Texas, adjusting for population-level demographic characteristics, health factors, and health care access measures.

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Background: Texas ranks 2nd in the count of COVID cases. Pre-existing disparities in healthcare may be intersecting with COVID-19 outcomes.

Objectives: To explore the relationship between county-level race/ethnic composition and COVID-19 mortality in the state of Texas and determine whether county-level health factors, healthcare access measures, and other demographic characteristics explain this relationship.

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Introduction: The Affordable Care Act's Medicaid expansion has been found to increase healthcare access among low-income individuals in the general population. Fewer studies have explored the impact of Medicaid expansion on healthcare access among those living with chronic diseases. It is also unclear whether the impact of Medicaid expansion varies across levels of educational attainment or poverty among this subgroup.

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