Geographic variability of Medicaid acceptance among allergists in the US.

OBJECTIVE: To determine the geographic variability of Medicaid acceptance among allergists in the US. STUDY DESIGN: Geospatial analysis predicted Medicaid acceptance across space, and a multivariable regression identified area-level population demographic variables associated with acceptance. METHODS: We used the National Plan & Provider Enumeration System database to identify allergists. Medicaid acceptance was determined from lists or search engines from state Medicaid offices and calls to provider offices. Spatial analysis was performed using the empirical Bayesian kriging tool. Multivariate logistic regression was used to identify county-level characteristics associated with provider Medicaid acceptance. RESULTS: Of 5694 allergists, 55.5% accepted Medicaid. Acceptance in each state ranged from 13% to 90%. Washington, Arizona, and the Northeast had lowest predicted proportion of both Medicaid acceptance and Medicaid acceptance per 10,000 enrollees. Overall, county-level characteristics were not associated with the likelihood of accepting Medicaid in multivariate analyses. Only the percentage of individuals living in poverty was associated with a higher likelihood of providers accepting Medicaid (OR, 1.245; 95% CI, 1.156-1.340; P < .001). CONCLUSIONS: A barrier to accessing allergy-related health care is finding a provider who accepts a patient's insurance, which is largely variable by state. Lack of access to allergy care likely affects health outcomes for children with prevalent atopic conditions such as food allergy.

Understanding the burden of food allergy among urban and rural school children from north India.

Background: There is paucity of reliable epidemiological data regarding the burden of food allergy in most developing countries, including India. Objective: To provide current estimates of the prevalence and distribution of food allergy among urban and rural school children aged 6-14 years in Delhi and the National Capital Region (NCR) of Khekra in India. Methods: A cross-sectional study was conducted from January 2022 to February 2023 to enroll school children, 6-14 years, from select urban and rural schools in Delhi and NCR. A questionnaire consisting of questions focused on household environment, early life factors, and pediatric food allergy characteristics was administered by a trained medical researcher to collect parent-proxy data. Univariate statistics were used to describe frequencies, percentages, and 95% confidence intervals for survey items. Results: The estimated prevalence of parent-reported food allergy was 0.8% (95% CI: 0.4-1.5; urban: 0.4%, 95% CI: 0.1-1.1; rural: 1.7%, 95% CI: 0.7-3.5). Fruits such as mango (0.3%, 95% CI: 0.1-0.9), strawberry (0.1%, 95% CI: 0.0-0.7), orange (0.1%, 95% CI: 0.0-0.7), and custard apple (0.1%, 95% CI: 0.0-0.7) were reported only by urban children, while rural children reported yogurt (0.6%, 95% CI: 0.1-1.8) and wheat (0.3%, 95% CI: 0.0-1.3). Both groups reported brinjal (also known as eggplant) and banana, 0.1% (95% CI: 0.0-0.7) of urban and 0.3% (95% CI: 0.0-1.3) of rural, respectively. Overall, commonly reported clinical symptoms were diarrhea and/or vomiting (100%, 95% CI: 76.2-100), abdominal pain (88.9%, 95% CI: 58.6-98.8), and rash/itchy skin (66.7%, 95% CI: 34.8-89.6). Among children with parent reported food allergy, 66.7% (95% CI: 34.8-89.6) of food allergies were physician diagnosed, of which 33.3% were diagnosed via history alone (95% CI:7.7-71.4) while 66.7% (95% CI: 28.6-92.3) were confirmed via skin prick test and/or blood test. Conclusion: The overall prevalence of food allergy is very low in Delhi and Khekra, India. Future work should focus on elucidating the complex interplay of early-life, environmental, genetic, and lifestyle factors to understand the reasons for India's low food allergy burden and improve epidemiological clues to prevention for the nations with higher disease burden.

Potential parental determinants of the pace of evidence-based practice change in children's mental health care.

BACKGROUND: Strength of evidence is key to advancing children's mental health care but may be inadequate for driving practice change. The Designing for Accelerated Translation (DART) framework proposes a multifaceted approach: pace of implementation as a function of evidence of effectiveness, demand for the intervention, sum of risks, and costs. To inform empirical applications of DART, we solicited caregiver preferences on key elements. METHOD: In March-April 2022, we fielded a population-representative online survey in Illinois households (caregivers N = 1,326) with ≥1 child <8 years old. Six hypothetical scenarios based on the DART framework were used to elucidate caregivers' preferences on a 0-10 scale (0 = never; 10 = as soon as possible) for pace of implementation of a family-based program to address mental health concerns. RESULTS: Caregivers' pace preference scores varied significantly for each scenario. The highest mean score (7.28, 95% confidence interval [95% CI: 7.06, 7.50]) was for a scenario in which the child's provider thinks the program would be helpful (effectiveness) and the caregiver believes the program is needed (demand). In contrast, the lowest mean score (5.13, 95% CI [4.91, 5.36]) was for a scenario in which online information implies the program would be helpful (effectiveness) and the parent is concerned about the program's financial costs (cost). Caregivers' pace preference scores did not vary consistently by sociodemographic factors. CONCLUSION: In this empirical exploration of the DART framework, factors such as demand, cost, and risk, in combination with evidence of effectiveness, may influence caregivers' preferred pace of implementation for children's mental health interventions. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Design of the Intervention to Reduce Early Peanut Allergy in Children (iREACH): A practice-based clinical trial.

BACKGROUND: Introducing peanut products early can prevent peanut allergy (PA). The "Addendum guidelines for the prevention of PA in the United States" (PPA guidelines) recommend early introduction of peanut products to low and moderate risk infants and evaluation prior to starting peanut products for infants at high risk for PA (those with severe eczema and/or egg allergy). Rapid adoption of guidelines could aid in lowering the prevalence of PA. The Intervention to Reduce Early (Peanut) Allergy in Children (iREACH) trial was designed to promote PPA guideline adherence by pediatric clinicians. METHODS: A two-arm, cluster-randomized, controlled clinical trial was designed to measure the effectiveness of an intervention that included clinician education and accompanying clinical decision support tools integrated in electronic health records (EHR) versus standard care. Randomization was at the practice level (n = 30). Primary aims evaluated over an 18-month trial period assess adherence to the PPA guidelines using EHR documentation at 4- and 6-month well-child care visits aided by natural language processing. A secondary aim will evaluate the effectiveness in decreasing the incidence of PA by age 2.5 years using EHR documentation and caregiver surveys. The unit of observation for evaluations are individual children with clustering at the practice level. CONCLUSION: Application of this intervention has the potential to inform the development of strategies to speed implementation of PPA guidelines.