Obesity, Migraine, and Overlapping Comorbidities in a Rural Pediatric Population

Not Only Metabolic Complications of Childhood Obesity

The increasing incidence of obesity in the pediatric population requires attention to its serious complications. It turns out that in addition to typical, well-known metabolic complications, obesity as a systemic disease carries the risk of equally serious, although less obvious, non-metabolic complications, such as cardiovascular diseases, polycystic ovary syndrome, chronic kidney disease, asthma, thyroid dysfunction, immunologic and dermatologic conditions, and mental health problems. They can affect almost all systems of the young body and also leave their mark in adulthood. In addition, obesity also contributes to the exacerbation of existing childhood diseases. As a result, children suffering from obesity may have a reduced quality of life, both physically and mentally, and their life expectancy may be shortened. It also turns out that, in the case of obese pregnant girls, the complications of obesity may also affect their unborn children. Therefore, it is extremely important to take all necessary actions to prevent the growing epidemic of obesity in the pediatric population, as well as to treat existing complications of obesity and detect them at an early stage. In summary, physicians treating a child with a systemic disease such as obesity must adopt a holistic approach to treatment.

Use of Epic Electronic Health Record System for Health Care Research: Scoping Review

BACKGROUND

Electronic health records (EHRs) enable health data exchange across interconnected systems from varied settings. Epic is among the 5 leading EHR providers and is the most adopted EHR system across the globe. Despite its global reach, there is a gap in the literature detailing how EHR systems such as Epic have been used for health care research.

OBJECTIVE

The objective of this scoping review is to synthesize the available literature on use cases of the Epic EHR for research in various areas of clinical and health sciences.

METHODS

We used established scoping review methods and searched 9 major information repositories, including databases and gray literature sources. To categorize the research data, we developed detailed criteria for 5 major research domains to present the results.

RESULTS

We present a comprehensive picture of the method types in 5 research domains. A total of 4669 articles were screened by 2 independent reviewers at each stage, while 206 articles were abstracted. Most studies were from the United States, with a sharp increase in volume from the year 2015 onwards. Most articles focused on clinical care, health services research and clinical decision support. Among research designs, most studies used longitudinal designs, followed by interventional studies implemented at single sites in adult populations. Important facilitators and barriers to the use of Epic and EHRs in general were identified. Important lessons to the use of Epic and other EHRs for research purposes were also synthesized.

CONCLUSIONS

The Epic EHR provides a wide variety of functions that are helpful toward research in several domains, including clinical and population health, quality improvement, and the development of clinical decision support tools. As Epic is reported to be the most globally adopted EHR, researchers can take advantage of its various system features, including pooled data, integration of modules and developing decision support tools. Such research opportunities afforded by the system can contribute to improving quality of care, building health system efficiencies, and conducting population-level studies. Although this review is limited to the Epic EHR system, the larger lessons are generalizable to other EHRs.

Comorbidities of Rural Children and Adolescents with Migraine and without Migraine

(1) Background: Migraine is associated with comorbidities that are common in the general rural pediatric population. The purpose of this study is to evaluate the differences in the occurrence of comorbidities between rural children and adolescents with and without migraine. (2) Methods: A cross-sectional, secondary data analysis using electronic medical records of 1296 patients (53.8% females, aged 12.4 ± 3.2) was completed. Mann-Whitney U test was used to detect the difference in the number of comorbidities between the two groups. Chi-square test was used to identify the differences in the number of comorbidities, which were classified as low (0-1 comorbidities), medium (2-3 comorbidities), and high (4 or plus comorbidities) degree of comorbidities. (3) Results: Significant differences were found between those children and adolescents with migraine vs. those without for depression (p < 0.0001), anxiety (p < 0.0001), and Ehlers-Danlos Syndrome (EDS; p = 0.0309). A marginally significant difference was found between those children and adolescents with migraine (47.2%; n = 306) vs. those without (42.1%; n = 273) for unhealthy weight (p = 0.0652). Approximately 40% of the migraineurs had 2-3 comorbidities, whereas 32% of the non-migraineurs had 2-3 comorbidities (p = 0.0003). (4) Conclusions: Findings demonstrate the importance of identifying comorbidities associated with rural pediatric migraine in order to develop effective treatment strategies that optimize patient outcomes.

Developing Sentinel Surveillance for Chlamydia and Gonorrhea Using Test Results From Routine Screening During Pregnancy

Background.

Interpretation of case-based surveillance of chlamydia and gonorrhea is limited by the lack of negative tests for comparison. We sought to develop a sustainable electronic health record (EHR)-based approach to disease surveillance in a sentinel population of pregnant persons.

Methods.

We conducted a one-year assessment of sexually transmitted infections (STIs) in persons receiving at least one pregnancy-related visit within our university medical center. Data were obtained using EHR analytic structured query language code (SQL). Patients were categorized by whether they had an STI test during pregnancy and if screened, by the STI test results (positive or negative). We assessed screening and positivity by demographic using bivariate analyses. Predictors of a positive STI test were determined using logistic regression.

Results.

We identified 4,553 persons who received pregnancy care from January 1 to December 31, 2021. Seventy-six percent (n, 3483) of persons were screened for an STI during pregnancy. Those who identified as white or had private insurance were less likely to have a chlamydia test. Among persons screened, Trichomonas was the most commonly detected STI (5%, 141/2,698) followed by chlamydia (4%, 135/3,456), and gonorrhea (0.7% 24/3,468). Predictors of a positive STI test during pregnancy were Black race [adjusted odds ratio (aOR) 6.0 (95% Confidence Interval 4.2–8.7)], age ≤ 25 [aOR 2.5 (1.9–3.3)], and public insurance [aOR 1.6 (1.2–2.1)].

Conclusions.

We demonstrated that EHRs can be utilized to assess gonorrhea and chlamydia positivity. These methods could potentially be applied in other jurisdictions to improve the understanding of national STI surveillance.

Electronic health records of a sentinel population of pregnant persons were queried to perform STI surveillance. This approach may improve the accuracy of national case estimates of STIs.