Racial Disparities in Medication Adherence Barriers: Pediatric Epilepsy as an Exemplar

Adherence Rates and Barriers to Second-Generation Antipsychotic Medication Use in Youth with Bipolar Spectrum Disorders Who Have Overweight/Obesity

Objective: Youth with bipolar spectrum disorders (BSD) are frequently prescribed second-generation antipsychotics (SGAs). Nonadherence to treatment often results in increased mood symptoms and diminished quality of life. We examined SGA adherence rates and adherence barriers among youth who have overweight/obesity and are diagnosed with BSD enrolled in a multisite pragmatic clinical trial. Methods: SGA adherence and adherence barriers at baseline via patient- and caregiver report was assessed. Adherence was defined as taking ≥70% of prescribed SGA doses in the past week. The weighted Kappa statistic was used to measure child-caregiver agreement about adherence rates, barriers, and caregiver assistance. Regression analyses were used to examine associations of caregiver assistance, age, sex, race, insurance status, dosing frequency, and number of concomitant medications with adherence. Barriers to adherence were analyzed separately for youth and their caregivers, using logistic regression to assess associations between informant-reported barriers and informant-reported adherence. Results: Participants included 1485 patients and/or caregivers. At baseline, 88.6% of patients self-reported as adherent; 92.0% of caregivers reported their child was adherent. Concordance between patients and caregivers was moderate (k = 0.42). Approximately, 50% of the sample reported no adherence barriers. Frequently endorsed barriers included forgetting, side effects, being embarrassed to take medications, and preferring to do something else. Concordance between informants regarding adherence barriers was weak (k = 0.05-0.36). Patients and caregivers who did not endorse adherence barriers reported higher adherence than those who endorsed barriers. Male sex and having once daily dosing of medications were associated with lower adherence. Discussion: One-week patient- and caregiver-reported adherence was high in this sample. Half of the sample reported adherence barriers. Most commonly endorsed barriers were forgetting, side effects, being embarrassed, and preferring to do something else. Caregivers and patients have unique perspectives regarding adherence barriers. Understanding and addressing treatment barriers in clinical practice may facilitate adherence.

Assessing multilevel barriers to hydroxyurea adherence in youth with sickle cell disease using pharmacy-based refill records

BACKGROUND

Suboptimal medication adherence is common across youth with chronic health conditions and may contribute to health disparities and adverse health outcomes, especially in underserved communities.

METHODS

Using pharmacy prescription records and guided by the World Health Organization Multidimensional Adherence Model, we examined patient-, treatment-, and health system-related factors that may affect hydroxyurea adherence in 72 youth with sickle cell disease (SCD), 10-18 years who had participated in the multisite "Hydroxyurea Adherence for Personal Best in SCD" (HABIT) feasibility (6 months) and efficacy (12 months) trials. Pharmacy data were collected from the year prior to study entry through the duration of each trial. We also examined hydroxyurea dose at baseline, prescribing patterns (hydroxyurea formulation and dose prescribed), quantity of hydroxyurea dispensed, and number of daily capsules/tablets prescribed. Data were analyzed using descriptive statistics.

RESULTS

On average, youth were prescribed 1095 ± 402 mg hydroxyurea per day, requiring ingestion of 3 or more capsules for 39.4% of youth. Frequently identified potential barriers were complex medication regimens in which dose of hydroxyurea differed by day of week (47.2%); receipt of an inadequate (< 30 days) supply of hydroxyurea from the pharmacy ≥ 3 times during record collection period (29.2%); and prescription of hydroxyurea suspension suggesting problems swallowing capsules (22.2%). In this sample, most youth were exclusively prescribed 500 mg capsules (62.5%), which was associated with complex medication regimens (RR 3.0, 95% CI 1.4-6.7). Potential barriers were common, occurred at all levels and are potentially modifiable with targeted interventions at the treatment- and health system-related levels.

Emergency department utilization among adults with epilepsy: A multi-state cross-sectional analysis, 2010-2019

OBJECTIVE

We described patterns and trends in ED use among adults with epilepsy in the United States.

METHODS

Utilizing inpatient and ED discharge data from seven states, we conducted a cross-sectional analysis to identify adult ED visits diagnosed with epilepsy or seizures from 2010 to 2019. Using ED visit counts and estimates of state-level epilepsy prevalence, we calculated ED visit rates overall and by payer, condition, and year.

RESULTS

Our data captured 304,935 ED visits with epilepsy as a primary or secondary diagnosis in 2019. Across the seven states, visit rates ranged between 366 and 726 per 1000 and were higher than rates for adults without epilepsy in all states but one. ED visit rates were highest among Medicare and Medicaid beneficiaries (vs commercial or self-pay). Adults with epilepsy were more likely to be admitted as inpatients. Visits for nervous system disorders were 6.3-8.2 times higher among people with epilepsy, and visits for mental health conditions were 1.2-2.6 times higher. Increases in ED visit rates from 2010 to 2019 among people with epilepsy exceeded increases among adults without by 6.0-27.3 percentage points.

CONCLUSION

Adults with epilepsy visit the ED frequently and visit rates have been increasing over time. These results underscore the importance of identifying factors contributing to ED use and designing tailored interventions to improve ambulatory care quality.

Disparities in adolescent controller medication adherence, treatment barriers, and asthma control

BACKGROUND

Disparities in asthma persist despite advances in interventions. Adherence and self-management behaviors are critical yet challenging during adolescence. Treatment barriers include individual factors as well as structural and social determinants of health.

OBJECTIVE

To determine differences in controller medication adherence, asthma control, and treatment barriers by race, income, and insurance and whether racial disparities persist when controlling for income and insurance. Associations between adherence, barriers, and control were also examined.

METHODS

Adolescents completed measures of treatment barriers and asthma control. Controller medication adherence was measured electronically. Descriptive statistics, means comparisons, and analyses of covariance were conducted.

RESULTS

One hundred twenty-five adolescents participated (Mage = 14.55, SD = 2.01, 37.6% Black or African American, 55.2% White). Black or African American adolescents had significantly lower adherence than White adolescents, t(105) = 2.79, p = .006, Cohen's d = .55. This difference was not significant when controlling for income and insurance (p > .05). There was a significant difference in asthma control, F(1,86) = 4.07, p = .047, ηp 2 = .045, where Black or African American adolescents had better asthma control scores than White adolescents. Feeling tired of living with asthma was the most common barrier among all adolescents (62.4%). More Black or African American adolescents endorsed difficulty getting to the pharmacy than White adolescents, X2 (1, N = 116) = 4.86, p = .027.

CONCLUSIONS

Racial disparities in asthma may be partially driven by income, insurance, and pharmacy access. Asthma burnout may be important to address for all adolescents with asthma.

Disparities in seizure outcomes revealed by large language models

OBJECTIVE

Large-language models (LLMs) can potentially revolutionize health care delivery and research, but risk propagating existing biases or introducing new ones. In epilepsy, social determinants of health are associated with disparities in care access, but their impact on seizure outcomes among those with access remains unclear. Here we (1) evaluated our validated, epilepsy-specific LLM for intrinsic bias, and (2) used LLM-extracted seizure outcomes to determine if different demographic groups have different seizure outcomes.

MATERIALS AND METHODS

We tested our LLM for differences and equivalences in prediction accuracy and confidence across demographic groups defined by race, ethnicity, sex, income, and health insurance, using manually annotated notes. Next, we used LLM-classified seizure freedom at each office visit to test for demographic outcome disparities, using univariable and multivariable analyses.

RESULTS

We analyzed 84 675 clinic visits from 25 612 unique patients seen at our epilepsy center. We found little evidence of bias in the prediction accuracy or confidence of outcome classifications across demographic groups. Multivariable analysis indicated worse seizure outcomes for female patients (OR 1.33, P ≤ .001), those with public insurance (OR 1.53, P ≤ .001), and those from lower-income zip codes (OR ≥1.22, P  ≤ .007). Black patients had worse outcomes than White patients in univariable but not multivariable analysis (OR 1.03, P = .66).

CONCLUSION

We found little evidence that our LLM was intrinsically biased against any demographic group. Seizure freedom extracted by LLM revealed disparities in seizure outcomes across several demographic groups. These findings quantify the critical need to reduce disparities in the care of people with epilepsy.

Health and Healthcare Disparities in Pediatric Epilepsy in the United States: A Scoping Review

OBJECTIVES

Health disparities impact epilepsy care in children. Previous efforts to summarize data in this population have been limited. This study sought to understand how this information exists in the literature and identify gaps in knowledge.

METHODS

A scoping review of peer-reviewed articles and gray literature was conducted using PRISMA guidelines. Disparity populations (e.g., Sex, Race/Ethnicity, Socioeconomic Status) and disparity outcomes (e.g., Quality of Life (QOL)/Psychological, Utilization, Mortality/Sudden Unexpected Death in Epilepsy) were identified. A finding was defined as a single result from a discrete statistical analysis of a specific clinical outcome by disparity population. Data extraction identified where this information existed in the literature and how it was reported.

RESULTS

A total of 307 publications revealed 769 unique disparity/equity findings. Disparity populations were unequally represented (p < 0.0001). Sex and Race/Ethnicity had the most findings while Language/Immigration had the fewest. Nearly a quarter of findings (23%) addressed QOL/Psychological outcomes. The highest percentages of disparities were found in the Utilization, Mortality/SUDEP, and Economic categories. Of the 204 publications reporting disparity findings, fewer than half actually intended to investigate disparities as one of their original objectives. Of the disparity findings identified in peer-reviewed articles, a third were not mentioned in the abstract and 20% were not addressed in the discussion.

INTERPRETATION

A comprehensive scoping review of health disparities in pediatric epilepsy found that specific disparity populations like Sex and Race/Ethnicity were robustly explored, while Language/Immigration was under-represented, despite a high rate of disparities. Health-related outcome categories were also unequally investigated. Disparity findings were often difficult to access within publications. ANN NEUROL 2024;95:733-742.

Education Research: Quality and Validity Evidence for a National In-Training Examination for Epilepsy Fellows

Background and Objectives

Epilepsy education has been transformed over the past 2 decades, leading to a need for structured formative assessment tools. The American Epilepsy Society developed the Epilepsy Fellowship In-Training Examination (EpiFITE) to provide high-quality formative assessment for fellows, to stimulate program improvement, and to guide future learning and teaching. The aim of this study was to explore validity evidence for the EpiFITE in meeting these goals.

Methods

Validity evidence was sought from multiple sources. The content of the examination was linked to the American Board of Psychiatry and Neurology blueprint for initial certification in epilepsy, and items were developed by trained experts. Internal structure was studied using internal consistency and item analysis. Surveys of fellows and fellowship directors focused on the examination experience (response process) and how results influenced fellow assessment, future learning, and program improvement (relationship to other variables and consequences).

Results

The EpiFITE was first administered in 2020, with 172 examinees from 67 programs. By 2022 (year 3), the EpiFITE was completed by 195 epilepsy fellows from 77 programs. The overall mean score of the examination was stable from year to year, and the committee predicted the difficulty of individual items with a high degree of accuracy. The examination had high internal consistency (Cronbach α 0.76-0.81). The median item discrimination index ranged from 0.17 in 2020 to 0.21 in 2022. Discrimination indices were lower (mean ≤0.10) for items that were either very easy or very difficult and significantly higher (mean >0.20) for other items. Program directors and epilepsy fellows agreed the examination questions were appropriate and agreed that the EpiFITE helped them identify areas for self-directed learning. Program directors also found the examination helpful in identifying areas of strength and areas for improvement within their programs.

Discussion

There are several sources of evidence of the quality and validity of the EpiFITE. By exploring this validity evidence, we have identified several best practices in the development and evaluation of a subspecialty examination, and this experience could be helpful for developers of in-training examinations in other subspecialties.

Medication compliance of children with epilepsy: a cross-sectional survey

BACKGROUND

Good medication compliance is very important for the prognosis of children with epilepsy. We aimed to evaluate the status and influencing factors of medication compliance in children with epilepsy and to provide insights to the clinical nursing care of children with epilepsy.

METHODS

We selected epileptic children admitted to Children's Hospital of Nanjing Medical University from February 1, 2022 to August 31, 2022. Self-designed questionnaire and medication compliance scale were used to evaluate the characteristics and medication compliance of children with epilepsy. Pearson correlation analysis and multivariate logistic regression were used to analyze the influencing factors of medication compliance.

RESULTS

A total of 156 children with epilepsy were included, the incidence of poor compliance in children with epilepsy was 37.18%. Pearson correlation analysis indicated that age(r = 0.622), courses of epilepsy(r = 0.553), parental education level(r = 0.506), monthly household income(r = 0.652) and number of drugs taken(r = 0.577) were correlated with the compliance(all P<0.05). Logistic regression analyses indicated that age ≤ 6 y(OR = 2.104, 95%CI: 1.712 ~ 2.527), courses of epilepsy ≤ 3 years(OR = 2.661, 95%CI: 2.089 ~ 2.941), low parental education level(OR = 1.977, 95%CI: 1.314 ~ 2.351), monthly household income ≤ 5000 RMB(OR = 2.812, 95%CI: 2.194 ~ 3.181), number of drugs taken ≥ 3(OR = 3.025, 95%CI: 2.336 ~ 3.475) were the influencing factors of medication compliance in children with epilepsy(all P<0.05).

CONCLUSIONS

The medication compliance of children with epilepsy needs to be improved, and the medication compliance of children is affected by age, courses of epilepsy, parental education level, monthly household income and number of drugs taken. Clinical medical personnel take targeted nursing measures against these factors to improve the medication compliance of children with epilepsy.

Disparities in seizure outcomes revealed by large language models

Objective

Large-language models (LLMs) in healthcare have the potential to propagate existing biases or introduce new ones. For people with epilepsy, social determinants of health are associated with disparities in access to care, but their impact on seizure outcomes among those with access to specialty care remains unclear. Here we (1) evaluated our validated, epilepsy-specific LLM for intrinsic bias, and (2) used LLM-extracted seizure outcomes to test the hypothesis that different demographic groups have different seizure outcomes.

Methods

First, we tested our LLM for intrinsic bias in the form of differential performance in demographic groups by race, ethnicity, sex, income, and health insurance in manually annotated notes. Next, we used LLM-classified seizure freedom at each office visit to test for outcome disparities in the same demographic groups, using univariable and multivariable analyses.

Results

We analyzed 84,675 clinic visits from 25,612 patients seen at our epilepsy center 2005-2022. We found no differences in the accuracy, or positive or negative class balance of outcome classifications across demographic groups. Multivariable analysis indicated worse seizure outcomes for female patients (OR 1.33, p = 3×10-8), those with public insurance (OR 1.53, p = 2×10-13), and those from lower-income zip codes (OR ≥ 1.22, p ≤ 6.6×10-3). Black patients had worse outcomes than White patients in univariable but not multivariable analysis (OR 1.03, p = 0.66).

Significance

We found no evidence that our LLM was intrinsically biased against any demographic group. Seizure freedom extracted by LLM revealed disparities in seizure outcomes across several demographic groups. These findings highlight the critical need to reduce disparities in the care of people with epilepsy.

Predictors of objective treatment adherence in adolescents with epilepsy: The important role of motivation

OBJECTIVE

Adolescents with epilepsy are at heightened risk for suboptimal anti-seizure medication (ASM) adherence; however, there is a paucity of adherence interventions for this age group. The current study aimed to identify a comprehensive and novel set of predictors of objective, electronically-monitored ASM adherence in adolescents with epilepsy.

METHODS

Participants included 104 adolescents (13-17 years old; M = 15.36 ± 1.40), diagnosed with epilepsy and their caregivers. Cross-sectional data were collected from adolescents, caregivers, healthcare providers, and medical chart reviews, including demographics (i.e., age, race/ethnicity, sex, insurance status), the COVID-19 pandemic (i.e., participation before versus during), seizure characteristics (i.e., presence and severity), ASM side effects (Pediatric Epilepsy Side Effects Questionnaire), adherence motivation (1-item 6-point Likert scale item), and adherence barriers (Pediatric Epilepsy Medication Self-Management Questionnaire). Electronically-monitored adherence data was collected via the AdhereTechTM pill bottle or the Vaica SimpleMedTM pillbox over 30 days.

RESULTS

Adolescents demonstrated suboptimal adherence at 78 ± 31.6%, despite high ASM adherence motivation (M = 4.43 ± .94) and minimal adherence barriers (M = 35.64 ± 3.78). Hierarchical multiple regression, which included non-modifiable sociodemographic and medical variables (Block 1) and behaviorally modifiable psychosocial variables (Block 2) was significant, F(12,87) = 3.69, p < .001. Specifically, having private insurance (versus Medicaid or public insurance; t = -2.11, p = .038) and higher adherence motivation (t = 2.91, p = .005) predicted higher objective ASM adherence.

CONCLUSION

Routine assessment of adherence predictors is vital for the promotion of adherence among adolescents with epilepsy. Adolescent adherence motivation may be an important element of multi-component interventions focused on improving ASM adherence in adolescents with epilepsy.

Disparities in Adherence to Concussion Clinical Care Recommendations in a Pediatric Population

OBJECTIVE

To characterize the relationship of sociodemographic factors to adherence to provider recommendations for pediatric concussion.

SETTING

Primary care (PC) practices within the Children's Hospital of Philadelphia network.

PARTICIPANTS

Patients aged 5 to 18 years old who presented to any PC site for concussion from September 26, 2019, to December 31, 2019.

DESIGN

Retrospective medical record review.

MAIN MEASURES

The primary outcome was adherence to follow-up recommendations as defined by (1) continued follow-up until provider clearance to return to full activity; (2) no more than 2 no-show visits; and (3) for those referred to specialty care (SC), attending at least 1 visit. We compared adherence by race/ethnicity, insurance, age, sex, injury mechanism, and repeat head injury using bivariate and multivariate analyses. A secondary outcome of referral to SC was compared by sociodemographic factors.

RESULTS

A total of 755 patients were included. Overall, 80.5% of the patients met adherence criteria. Following adjustment, non-Hispanic Black patients and publicly insured/self-pay patients were less likely to adhere to recommendations than non-Hispanic White patients (adjusted odds ratio [AOR] = 0.60; 95% CI, 0.37-1.00) and privately insured patients (AOR = 0.48; 95% CI, 0.30-0.75), respectively. When assessing differences in referral to SC, non-Hispanic Black patients and publicly insured/self-pay patients were more likely to receive a referral than their non-Hispanic White peers (OR = 1.56; 95% CI, 1.00-2.45) and privately insured patients (OR = 1.56; 95% CI, 1.05-2.32), respectively.

CONCLUSION

This study highlights disparities in adherence to concussion care recommendations, with non-Hispanic Black and publicly insured/self-pay patients less likely to adhere to follow-up recommendations than non-Hispanic White and privately insured patients, respectively. These disparities may impact recovery trajectories. Future studies should aim to identify specific individual- and system-level barriers preventing adherence to care in order to ultimately inform targeted interventions to achieve equity in care delivery and outcomes.

Diversity, Equity, and Inclusion within Pediatric Adherence Science

Given the long-standing history of systemic racism in psychological science, diversity, equity, and inclusion (DEI) efforts are increasingly vital to the advancement and improvement of the field. This commentary extends the seminal work of the article Upending Racism in Psychological Science: Strategies to Change How Our Science is Conducted, Reported, Reviewed, and Disseminated (Buchanan et al., Am Psychol, https://doi.org/10.31234/osf.io/6nk4x , 2020) by providing tangible applications and recommendations to improve DEI integration into pediatric adherence science. Real-world adherence examples are discussed regarding the challenges faced in systematically integrating DEI principles, potential solutions to overcoming barriers, and the implications of these efforts on scientific advancement in an effort to address and dismantle research practices that perpetuate inequity and White supremacy. Specifically, we provide discourse and practical guidance related to the conduct, reporting, reviewing, and dissemination of pediatric adherence science to promote dialog and produce actionable change toward the promotion of health equity and social justice.