A Comparison of Emergency Room Visits and Hospital Admissions Between People with Prediabetes and Diabetes.

The purpose of this study was to characterize risk factors and groups at risk among people with diabetes and prediabetes for increased hospital utilization. Electronic health records for all people who visited the emergency department (ED) and had type II diabetes mellitus (PWD) or prediabetes (PWPD) were collected. ED use, hospital admissions, demographics, and clinical characteristics were compared between the groups. Multivariable logistic regression was used to compare the odds of ED high utilization (HU) (3+ visits per year) and hospital admissions between PWD and PWPD with interactions for socioeconomic status, race, marital status, and total comorbidities. PWD had higher mean ED visits per year compared with PWPD (1.5 vs. 1.2) and were more likely to be admitted (57.3% vs. 34.9%). PWD had higher odds of ED HU (2.1 [1.6, 2.7]) and hospital admissions (1.9 [1.6, 2.1]). Among PWD, Black, not married, and those with more than one comorbidity had the highest odds of ED HU. Among PWPD, those of low SES, Black, and divorced had the higher odds of ED HU. Hospital admissions were a risk for PWD and PWPD with increasing comorbidities. Early recognition and identification of prediabetes and clear criteria for diagnosis could reduce ED visits and hospital admissions.

Athletic Training and Population Health Science.

OBJECTIVE: To define and discuss the role of population health as a framework to improve care and clinical decision making in athletic training practice. BACKGROUND: Athletic trainers (ATs) are allied health professionals who are uniquely suited to provide preventive and educational health and wellness programs to improve health outcomes across a physically active population. Athletic trainers are often the first contacts for high school athletes seeking health and wellness education, which may allow ATs to be the first intervention or prevention point for reducing or eliminating negative health behaviors and outcomes among their patients. CONCLUSIONS: Integrating a population-health framework into the athletic training setting prepares ATs to address complex health concerns in communities that result from factors that influence determinants of health. The field of athletic training could benefit from a population-health approach to care by broadening consideration of the factors that affect the health of homogeneous populations that are served by ATs.

Athletic Trainer-Reported Prevalence of Mental Health, Substance Use, and Barriers to Health in Secondary Schools.

CONTEXT: Where a person lives can have a significant effect on health. Limited access to health care, food insecurity, lack of affordable housing, and violence increase a person's likelihood of poor health. Athletic trainers (ATs) can contribute to identifying and improving the determinants of health that affect student-athletes. OBJECTIVES: (1) What were the current perceptions ATs had about the health behaviors (specifically mental health and substance use) of high school student-athletes? (2) What were the barriers that ATs experienced when providing health services to high school student-athletes? (3) How did the developed environment affect the health behaviors and barriers that ATs observed? DESIGN: Qualitative study. SETTING: Online survey. PATIENTS OR OTHER PARTICIPANTS: Certified National Athletic Trainers' Association members employed in the secondary school setting. MAIN OUTCOME MEASURE(S): Demographics of ATs were collected, and the ATs' perceptions of the health of student-athletes across developed environments, prevalence of mental health issues, tobacco and substance use, barriers to health care services, and housing and food insecurities among student-athletes were surveyed. Descriptive statistics for the outcome measures were reported. RESULTS: A total of 7600 electronic surveys were distributed to the ATs and 911 responded (females = 62%, average age = 36 years, average experience = 12.5 years). The school setting was identified by 82.5% as public and the environment as suburban by 43.7%, rural by 30.1%, and urban by 26.1%. Participants perceived a high average prevalence of mental health concerns (32%), e-cigarette use (31.7%), and marijuana use (26.9%) among student-athletes. Significant perceived barriers to health included limited access to transportation, poverty, and housing and food insecurities. CONCLUSIONS: This study highlights the health disparities and barriers ATs observed when addressing the health care needs of student-athletes. Understanding the determinants of health in order to identify the causes of health disparities may better prepare ATs to manage the health needs of underserved student-athletes.