Objectives Electronic health record (EHR) data aggregated from multiple, non-affiliated, sources provide an important resource for biomedical research, including digital phenotyping. Unlike work with EHR data from a single organization, aggregate EHR data introduces a number of analysis challenges. Materials and Methods We used the Cerner Health Facts data, a de-identified aggregate EHR data resource populated by data from 100 independent health systems, to investigate the impact of EHR implementation factors on the aggregate data. These included use of ancillary modules, data continuity, International Classification of Disease (ICD) version and prompts for clinical documentation. Results and Discussion Health Facts includes six categories of data from ancillary modules. We found of the 664 facilities in Health Facts, 49 use all six categories while 88 facilities were not using any. We evaluated data contribution over time and found considerable variation at the health system and facility levels. We analyzed the transition from ICD-9 to ICD-10 and found that some organizations completed the shift in 2014 while others remained on ICD-9 in 2017, well after the 2015 deadline. We investigated the utilization of “discharge disposition” to document death and found inconsistent use of this field. We evaluated clinical events used to document travel status implemented in response to Ebola, height and smoking history. Smoking history documentation increased dramatically after Meaningful Use, but dropped in some organizations. These observations highlight the need for any research involving aggregate EHR data to consider implementation factors that contribute to variability in the data before attributing gaps to “missing data.”

OBJECTIVE Maintenance of glycemic control during and after exercise remains a major challenge for individuals with type 1 diabetes. Glycemic responses to exercise may differ by exercise type (aerobic, interval, or resistance), and the effect of activity type on glycemic control after exercise remains unclear. RESEARCH DESIGN AND METHODS The Type 1 Diabetes Exercise Initiative (T1DEXI) was a real-world study of at-home exercise. Adult participants were randomly assigned to complete six structured aerobic, interval, or resistance exercise sessions over 4 weeks. Participants self-reported study and nonstudy exercise, food intake, and insulin dosing (multiple daily injection [MDI] users) using a custom smart phone application and provided pump (pump users), heart rate, and continuous glucose monitoring data. RESULTS A total of 497 adults with type 1 diabetes (mean age ± SD 37 ± 14 years; mean HbA1c ± SD 6.6 ± 0.8% [49 ± 8.7 mmol/mol]) assigned to structured aerobic (n = 162), interval (n = 165), or resistance (n = 170) exercise were analyzed. The mean (± SD) change in glucose during assigned exercise was −18 ± 39, −14 ± 32, and −9 ± 36 mg/dL for aerobic, interval, and resistance, respectively (P < 0.001), with similar results for closed-loop, standard pump, and MDI users. Time in range 70–180 mg/dL (3.9–10.0 mmol/L) was higher during the 24 h after study exercise when compared with days without exercise (mean ± SD 76 ± 20% vs. 70 ± 23%; P < 0.001). CONCLUSIONS Adults with type 1 diabetes experienced the largest drop in glucose level with aerobic exercise, followed by interval and resistance exercise, regardless of insulin delivery modality. Even in adults with well-controlled type 1 diabetes, days with structured exercise sessions contributed to clinically meaningful improvement in glucose time in range but may have slightly increased time below range.

Objectives: This study aimed to determine the rate and context in which opioids are used to treat migraine in adolescents and young adults seen in emergency care settings.Methods: Data from 2010 to 2016 in the Cerner Health Facts electronic health record data warehouse were analyzed using multilevel logistic regression to estimate the population likelihood of an opioid being used in the emergency department (ED) to treat a primary diagnosis of migraine in adolescents and young adults and to evaluate the extent to which this likelihood varies as a function of characteristics of the patient (age, sex, race, and insurance), encounter (referral source, provider specialty, and encounter duration and year), and ED (region, setting, size, payer mix, and academic status). Results:The study identified 14,494 eligible ED encounters with unique patients, of which 23% involved an opioid. Likelihood of being treated with opioids was significantly higher for patients who were older, female, white, and seen by a surgeon and who had longer encounters and encounters earlier in the time period sampled. Sites varied widely in percentage of encounters involving opioids (mean, 26.4% ± 20.1%; range, 0-100%), with higher rates associated with smaller sites with relatively higher proportions of commercially insured patients.Conclusions: Use of opioids in the ED to treat migraine in youth is fairly common, with rate variation reflecting broader trends in for whom opioids tend to be more likely to be prescribed. These findings may be helpful for benchmarking and informing quality improvement efforts aimed at reducing unwarranted opioid exposure in youth.

Background. As a result of the Fontan procedure, the prognosis of congenital single-ventricle heart disease has improved, with many affected children surviving into adulthood. However, the unanticipated consequences of chronic exposure to Fontan hemodynamics have revealed a new set of secondary noncardiac complications. Fontan-associated liver disease (FALD) is characterized by progressive hepatic fibrosis in nearly all patients post-Fontan, with the potential to develop cirrhosis, hepatocellular carcinoma, and the need for liver transplantation. A lack of data regarding FALD-related prognosis makes consideration of indications for and timing of heart alone versus combined heart-liver transplantation challenging. Methods. A multidisciplinary group within the American Society for Transplantation analyzed several administrative datasets to study the epidemiology of FALD. Results. This approach presented several obstacles, and efforts to characterize FALD were limited by a lack of Fontan- and FALD-specific diagnostic codes and an inability to follow individual patients through multiple health systems. Several ongoing Fontan registries were also reviewed but these do not adequately capture FALD-related variables. Such barriers highlight the need for large-scale data collection in patients post-Fontan to better understand and care for this complex population. Conclusions. This study emphasizes the challenges of studying emerging transplant-related diagnoses in existing datasets and the need for mechanisms to adapt registries to appropriately identify patients with rare or emerging conditions.