Associations of clinical personnel characteristics and telemedicine practices.

CONTEXT: The use of telemedicine strategies has been increasing in the United States for more than a decade, with physicians taking advantage of this new tool to reach more patients. Determining the specific demographics of physicians utilizing telemedicine most in their practice can inform recommendations for expanded telemedicine use among all physicians and aid in mitigating the need for local physicians in urban and rural populations. OBJECTIVES: This study aims to assess the use of telemedicine by physicians in 2021, based on four demographics utilizing the National Electronic Health Record Survey (NEHRS): physician age, sex, specialty, and training. METHODS: We performed a cross-sectional study of the 2021 NEHRS to determine the relationship between physician characteristics and telemedicine practices. Differences between groups were measured through design-based chi-square tests. RESULTS: Compared to male physicians, female physicians were more likely to utilize telemedicine services (X 2=8.0; p=0.005). Compared to younger physicians, those over the age of 50 were less likely to utilize telemedicine services (X 2=4.1; p=0.04). Compared to primary care physicians, medical and surgical specialty physicians were less likely to utilize telemedicine services, with surgical specialty physicians being the least likely overall (X 2=11.5; p<0.001). We found no significant differences in telemedicine use based on degree (Osteopathic and Allopathic). CONCLUSIONS: Our results showed a statistically significant difference between physician's age, sex, and specialty on telemedicine use in practice during 2021. Efforts to increase telemedicine use among physicians may be needed to provide more accessible care to patients. Thus, by increasing physician education on the importance of telemedicine for modern patients, more physicians may decide to utilize telemedicine services in practice.

Association of prenatal substance exposure and the development of the amygdala, hippocampus, and parahippocampus.

CONTEXT: Prenatal substance exposure (PSE) can lead to various harmful outcomes for the developing fetus and is linked to many emotional, behavioral, and cognitive difficulties later in life. Therefore, examination of the relationship between the development of associated brain structures and PSE is important for the development of more specific or new preventative methods. OBJECTIVES: Our study's primary objective was to examine the relationship between the physical development of the amygdala, hippocampus, and parahippocampus following prenatal alcohol, tobacco, and prescription opioid exposure. METHODS: We conducted a cross-sectional analysis of the Adolescent Brain and Cognitive Development (ABCD) Study, a longitudinal neuroimaging study that measures brain morphometry from childhood throughout adolescence. Data were collected from approximately 12,000 children (ages 9 and 10) and parents across 22 sites within the United States. Prenatal opioid, tobacco, and alcohol use was determined through parent self-report of use during pregnancy. We extracted variables assessing the volumetric size (mm3) of the amygdala, hippocampus, and parahippocampal gyrus as well as brain volume, poverty level, age, sex, and race/ethnicity for controls within our adjusted models. We reported sociodemographic characteristics of the sample overall and by children who had PSE. We calculated and reported the means of each of the specific brain regions by substance exposure. Finally, we constructed multivariable regression models to measure the associations between different PSE and the demographic characteristics, total brain volume, and volume of each brain structure. RESULTS: Among the total sample, 24.6% had prenatal alcohol exposure, 13.6% had prenatal tobacco exposure, and 1.2% had prenatal opioid exposure. On average, those with prenatal tobacco exposure were found to have a statistically significant smaller parahippocampus. CONCLUSIONS: We found a significant association between prenatal tobacco exposure and smaller parahippocampal volume, which may have profound impacts on the livelihood of individuals including motor delays, poor cognitive and behavioral outcomes, and long-term health consequences. Given the cumulative neurodevelopmental effects associated with PSE, we recommend that healthcare providers increase screening rates, detection, and referrals for cessation. Additionally, we recommend that medical associations lobby policymakers to address upstream barriers to the effective identification of at-risk pregnant individuals, specifically, eliminating or significantly reducing punitive legal consequences stemming from state laws concerning prenatal substance use.

Food insecurity and childhood outcomes: a cross-sectional analysis of 2016-2020 National Survey of Children's Health data.

CONTEXT: Racial inequalities across social determinants of health (SDOHs) are often influenced by discriminatory policies that reinforce systems that further uphold these disparities. There is limited data describing the influence of food insecurity (FI) on childhood racial discrimination. OBJECTIVES: Our objective was to determine if the likelihood of experiencing racial discrimination was exacerbated by FI. METHODS: We conducted a cross-sectional analysis of the 2016-2020 National Survey of Children's Health (NSCH) to extract data on childhood racial discrimination and food security. We extracted sociodemographic variables to utilize as controls and constructed logistic regression models to determine associations, via odds ratios (ORs), between food security and whether the child experienced racial discrimination. RESULTS: We found statistically significant associations between experiencing FI and childhood racial discrimination. Individuals who experienced food shortages were significantly more likely to experience racial discrimination compared to those without food limitations when controlling for race, food voucher usage, age, and % federal poverty guidelines (FPG, adjusted odds ratio [AOR]: 3.34; 95 % CI: 2.69-4.14). CONCLUSIONS: Our study found that parents of minority children all reported high rates of racial discrimination, which was exacerbated by concurrent FI. Children of families that were the most food insecure reported the highest percentage of racial discrimination at 11.13 %, compared with children who always had enough nutritious meals to eat at 2.87 %. Acknowledging the intersection that exists between FI, race, gender, and socioeconomic status (SES), might be a way forward in addressing the adverse health effects experienced by food-insecure children and adults.

Association and disparities of food insecurity and exposure to violence: analysis of the National Survey of Children's Health.

CONTEXT: Lack of access to food is a significant concern for child well-being, and it creates many health disparities and adverse social outcomes. Food insecurity and its many associated risk factors increase parental stress, which are strongly correlated with an increased risk of child abuse and maltreatment. Research now identifies being witness to domestic abuse as a form of child maltreatment, and exposure to violence in the community has been shown to result in similar long-term impacts. OBJECTIVES: Given the potential for lifelong adverse effects from experiencing adverse childhood events involving violence and food insecurity, our primary objective was to assess the relationship between the two and disparities among demographic factors. METHODS: We conducted an observational study utilizing data from the National Survey of Children's Health (NSCH) 2016-2021. The NSCH is a United States nationally representative survey completed by primary caregivers of one child per home aged 0-17 years. We determined population estimates (n=216,799; n=83,424,126) and rates of children experiencing food insecurity and parent-reported exposure to violence. We then constructed logistic regression models to assess associations, through odds ratios (ORs), between food security and exposure to violence including demographic factors. RESULTS: Among the sample, 5.42 % of children experienced low food security and 7.4 % were exposed to violence. The odds of exposure to violence are 5.19 times greater for children with low food security compared to food-secure children (95 % confidence interval [CI]: 4.48-6.02). Indigenous and Black children were 7.8 and 6.81 times more likely to experience or witness violence when food insecure compared to food secure White children, respectively (95 % CI: 3.18-19.13, 5.24-8.86 respectively). CONCLUSIONS: Food insecurity was associated with increased odds of children experiencing and/or witnessing violence compared to those who were food secure. The interaction between exposure to violence and food insecurity also disproportionately impacts children with specific demographic factors, notably race/ethnicity including multiracial, Indigenous, and Black children. By developing and adapting strategies to improve food security, it is possible to indirectly reduce the rates of childhood exposure to violence and the long-term impacts that result.

The impact of adverse childhood events on service support and educational outcomes of children who are autistic: A theory-guided analysis using structural equation modeling.

Autistic children who have experienced adverse childhood experiences (ACEs) may have barriers to receiving special education or other developmental services-thus, impacting educational outcomes. Our objective was to model such a pathway using the 2016-2021 National Survey of Children's Health datasets. We extracted data for school outcomes, use of special education and autism-related specialty services and sociodemographic characteristics among autistic children within the data. Associations between sociodemographics and ACEs (categorized as 0, 1-3, and 4+) were tested using design-based X2 tests. We then used structural equation modeling to map the quasi-causal pathways. The sample for our analysis included 4717 autistic children-38.94% were aged 6-10 years, 35.73% of children aged 11-14 years, and 25.32% were between 15 and 17 years-with 88.70% living in metropolitan areas. The X2 showed significant relationships between ACEs and age, ethnoracial groups, and urbanicity among others. The SEM showed ACEs were directly associated with poorer school outcomes (ß = -0.14 (0.04), p = 0.002) and through their inverse relationship with support services (ß = -0.08 (0.04), p = 0.023)- when support services were increased, school outcomes improved (ß = 0.62, p < 0.001). Findings suggested ACEs have a significant direct and indirect impact on school outcomes of autistic children, and 10.76% of children who are autistic have experienced four or more ACEs-which were more likely to occur with severe autism symptomatology and in rural areas. Results highlight the need for communities to recognize the potential long-term impact of ACEs on the academic outcomes of autistic children.

Associations of social determinants of health and childhood obesity: a cross-sectional analysis of the 2021 National Survey of Children's Health.

CONTEXT: Childhood obesity is a growing health problem in the United States, with those affected having an increased likelihood of developing chronic diseases at a younger age. Social determinants of health (SDOH) are known to influence overall health. Families who are of low socioeconomic status (SES) have also been shown to be more likely to experience food insecurity. OBJECTIVES: Our primary objective was to utilize the National Survey of Children's Health (NSCH) 2021 data to determine the current associations between childhood obesity and SDOH. Secondarily, we estimated the prevalence of select SDOH among children with obesity. METHODS: We conducted a cross-sectional analysis of 2021 NSCH to extract data related to the SDOH domains. We extracted sociodemographic variables to utilize as controls and constructed logistic regression models to determine associations, via odds ratios, between SDOH and childhood obesity. RESULTS: Within the binary regression models, children with obesity (≥95th percentile) were more likely than children without obesity to experience SDOH in all domains. After controlling for sociodemographic variables, children with obesity were significantly more likely to experience food insecurity when compared to children without obesity (adjusted odds ratio [AOR]=1.39; 95 % confidence interval [CI]: 1.13-1.17). CONCLUSIONS: In line with the current American Academy of Pediatrics (AAP) Clinical Practice Guidelines (CPG), improving policies for nutrition programs and addressing the lack of access to nutritious foods may alleviate some food insecurity. Ensuring that children have access to sufficient nutritious foods is critical in addressing childhood obesity and thus decreasing risk of chronic disease.

Disparities in preconception health indicators in U.S. women: a cross-sectional analysis of the behavioral risk factor surveillance system 2019.

OBJECTIVES: Optimized preconception care improves birth outcomes and women's health. Yet, little research exists identifying inequities impacting preconception health. This study identifies age, race/ethnicity, education, urbanicity, and income inequities in preconception health. METHODS: We performed a cross-sectional analysis of the Center for Disease Control and Prevention's (CDC) 2019 Behavioral Risk Factor Surveillance System (BRFSS). This study included women aged 18-49 years who (1) reported they were not using any type of contraceptive measure during their last sexual encounter (usage of condoms, birth control, etc.) and (2) reported wanting to become pregnant from the BRFSS Family Planning module. Sociodemographic variables included age, race/ethnicity, education, urbanicity, and annual household income. Preconception health indicators were subdivided into three categories of Physical/Mental Health, Healthcare Access, and Behavioral Health. Chi-squared statistical analysis was utilized to identify sociodemographic inequities in preconception health indicators. RESULTS: Within the Physical/Mental Health category, we found statistically significant differences among depressive disorder, obesity, high blood pressure, and diabetes. In the Healthcare Access category, we found statistically significant differences in health insurance status, having a primary care doctor, and being able to afford a medical visit. Within the Behavioral Health category, we found statistically significant differences in smoking tobacco, consuming alcohol, exercising in the past 30 days, and fruit and vegetable consumption. CONCLUSIONS: Maternal mortality and poor maternal health outcomes are influenced by many factors. Further research efforts to identify contributing factors will improve the implementation of targeted preventative measures in directly affected populations to alleviate the current maternal health crisis.

Associations of clinical personnel characteristics and controlled substance prescribing practices.

CONTEXT: Over 68,000 deaths were attributed to opioid-related overdose in 2020. Evaluative studies have shown that states that utilized Prescription Drug Monitoring Program (PDMP) systems have decreased opioid-related deaths. With the growing use of PDMPs and an ongoing opioid epidemic, determining the demographics of physicians at risk of overprescribing can elucidate prescribing practices and inform recommendations to change prescribing behaviors. OBJECTIVES: This study aims to assess prescribing behaviors by physicians in 2021 based on four demographics utilizing the National Electronic Health Record System (NEHRS): physician's age, sex, specialty, and degree (MD or Doctor of Osteopathic Medicine [DO]). METHODS: We performed a cross-sectional study of the 2021 NEHRS to determine the relationship between physician characteristics and PDMP use on opioid-prescribing behaviors. Differences between groups were measured via design-based chi-square tests. We constructed multivariable logistic regression models to assess the relationships, via adjusted odds ratios (AOR), between physician characteristics and alternate prescribing patterns. RESULTS: Compared to female physicians, male physicians were more likely to alter their original prescription to reduce morphine milligram equivalents (MMWs) prescribed for a patient (AOR: 1.60; CI: 1.06-2.39; p=0.02), to change to a nonopioid/nonpharmacologic option (AOR: 1.91; 95 % CI: 1.28-2.86; p=0.002), to prescribe naloxone (AOR=2.06; p=0.039), or to refer for additional treatment (AOR=2.07; CI: 1.36-3.16; p<0.001). Compared to younger physicians, those over the age of 50 were less likely to change their prescription to a nonopioid/nonpharmacologic option (AOR=0.63; CI: 0.44-0.90; p=0.01) or prescribe naloxone (AOR=0.56, CI: 0.33-0.92; p=0.02). CONCLUSIONS: Our results showed a statistically significant difference between specialty category and frequency of prescribing controlled substances. After checking the PDMP, male physicians were more likely to alter their original prescription to include harm-reduction strategies. Optimizing the use of PDMP systems may serve to improve prescribing among US physicians.

Increased serum cotinine and obesity negatively impact asthma exacerbations and hospitalizations: A cross-sectional analysis of NHANES.

Background: Asthma is the most common non-communicable chronic airway disease worldwide. Obesity and cigarette use independently increase asthma morbidity and mortality. Current literature suggests that obesity and smoking synergistically increase asthma-related wheezing. Objective: To assess whether increased serum cotinine and obesity act synergistically to increase the likelihood of having an asthma exacerbation, emergency department (ED) visit, or hospitalization. Methods: A cross-sectional analysis of the 2011-2015 iterations of NHANES database was performed. Patients aged 18 years or greater with asthma were included. Serum cotinine was utilized as an accurate measurement of cigarette use. Logistic regression models were constructed to determine whether elevated serum cotinine and obesity were associated with self-reported asthma exacerbations, asthma-specific ED usage, and hospitalizations for any reason in the past year. Odds ratios were adjusted for age, gender, race, and ethnicity. Interactions were assessed by multiplying the adjusted effect sizes for elevated cotinine and obesity. Results: We identified 2179 (N = 32,839,290) patients with asthma, of which 32.2% were active smokers and 42.7% were obese. Patients with an elevated cotinine and asthma were significantly more likely to have had an asthma-related ED visit in the past year (adjusted odds ratio [AOR] 1.82; 95% CI 1.19-2.79), have a physician-prescribed asthma medication (AOR 2.04; 95% CI 1.11-3.74), and have a hospitalization for any reason (AOR 3.65; 95% CI 1.88-7.07) compared to those with low cotinine. Patients with asthma and obesity were more likely to have an asthma-related ED visit (AOR 1.67; 95% CI 1.06-2.62) or hospitalization for any reason in the past year compared to non-obese patients (AOR 2.76; 95% CI 1.69-4.5). However, a statistically significant interaction between obesity and cotinine was only identified in patients who currently have asthma compared to a previous asthma diagnosis (AOR 1.76; 95% CI 1.10-2.82). There were no synergistic interactions among ED usage or asthma exacerbations. Conclusion: Nearly one-third of patients with asthma were current smokers, and almost half were obese. This study identified elevated serum cotinine, a metabolite of cigarette use, and obesity as key risk factors for asthma exacerbations, asthma-related ED visits, and hospitalizations for any reason. Elevated serum cotinine and obesity were not found to act synergistically in increasing asthma exacerbations or ED visits. However, the presence of both risk factors increased the risk of currently having asthma (compared to a previous diagnosis) by 76%. Serum cotinine may be useful in predicting asthma outcomes.

Disparities in Pediatric Medical and Childcare Disruption Due to COVID-19.

This cross-sectional study uses National Survey of Children's Health data to assess demographic disparities in medical and childcare disruptions during the COVID-19 pandemic.

Racial discrimination among children in the United States from 2016 to 2020: an analysis of the National Survey of Children's Health.

CONTEXT: Sociological research has linked racism and discrimination among children to poorer health outcomes and social conditions later in life. OBJECTIVES: Given the change in the political climate in the United States, highly publicized deaths of Black men and women by police, and the rise in hate crimes against Asian Americans from 2016 through 2020, our primary objective was to assess trends in racial or ethnic discrimination among children in the United States. METHODS: We conducted a cross-sectional analysis of the National Survey of Children's Health (NSCH), a nationally representative survey, utilizing data from 2016 to 2020. We calculated yearly population estimates of whether a child had experienced discrimination based on race/ethnicity via a parent-reported item. We further divided the estimates by race/ethnicity and plotted linear trends over time. RESULTS: Data from the NSCH show that racial/ethnic discrimination reported by parents of children who are minorities increased from 6.7% in 2016 to approximately 9.3% in 2020. Indigenous children were reported to experience discrimination at high rates ranging from 10.8% in 2016 to 15.7% in 2020, as well as Black children ranging from 9.69% in 2018 to 15.04% in 2020. The percent of Asian, Hawaiian or Pacific Islander, and Hispanic children reported to have experience discrimination was between 4.4 and 6.8% during this time. CONCLUSIONS: Discrimination negatively impacts the developmental experiences of children, disproportionately affecting those identifying as Indigenous and Black. Therefore, addressing harmful stereotyping of Indigenous and Black cultures is necessary, especially in media targeted toward children. Providing culturally competent healthcare, critically in the Indigenous and Black pediatric population, may improve long-term outcomes by reducing discriminatory barriers to healthcare access.