Promoting Choosing Wisely Thyroid Function Test Guidelines in a Large Pediatric Hospital System.

BACKGROUND: Free thyroxine (fT4) is often ordered when not indicated. The goal of the current study was to use quality improvement tools to identify and implement an optimal approach to reduce inappropriate fT4 testing throughout a large pediatric hospital system. METHODS: After reviewing evidence-based guidelines and best practices, a thyroid-stimulating hormone with reflex to fT4 test and an outpatient thyroid order panel with clinical decision support at order entry, along with several rounds of provider education and feedback, were implemented. Outpatient and inpatient order sets and system preference lists were reviewed with subject matter experts and revised when appropriate. Tracking metrics were identified. Automated monthly run charts and statistical process control charts were created using data retrieved from the electronic health record. Charts established baseline data, balancing measure data, monitored the impact of interventions, and identified future interventions. RESULTS: Over a 44-month period, among nonendocrinology providers, a reduction in fT4 and thyroid-stimulating hormone co-orders from 67% to 15% and an increase in reflex fT4 tests from 0% to 77% was obtained in inpatient and outpatient settings. Direct cost savings as a result of performing 5179 fewer fT4 tests over 3 years was determined to be $45 800. CONCLUSIONS: After implementation of a reflex fT4 test, a novel order panel with clinical decision support, provider education, and changes to ordering modes, a large and sustainable reduction in fT4 tests that was associated with significant cost savings was achieved among nonendocrinology providers.

Predicting Health Risks of Adult Asthmatics Susceptible to Indoor Air Quality Using Improved Logistic and Quantile Regression Models.

The increasing global patterns for asthma disease and its associated fiscal burden to healthcare systems demand a change to healthcare processes and the way asthma risks are managed. Patient-centered health care systems equipped with advanced sensing technologies can empower patients to participate actively in their health risk control, which results in improving health outcomes. Despite having data analytics gradually emerging in health care, the path to well established and successful data driven health care services exhibit some limitations. Low accuracy of existing predictive models causes misclassification and needs improvement. In addition, lack of guidance and explanation of the reasons of a prediction leads to unsuccessful interventions. This paper proposes a modeling framework for an asthma risk management system in which the contributions are three fold: First, the framework uses a deep learning technique to improve the performance of logistic regression classification models. Second, it implements a variable sliding window method considering spatio-temporal properties of the data, which improves the quality of quantile regression models. Lastly, it provides a guidance on how to use the outcomes of the two predictive models in practice. To promote the application of predictive modeling, we present a use case that illustrates the life cycle of the proposed framework. The performance of our proposed framework was extensively evaluated using real datasets in which results showed improvement in the model classification accuracy, approximately 11.5-18.4% in the improved logistic regression classification model and confirmed low relative errors ranging from 0.018 to 0.160 in quantile regression model.

Improving Lead Screening Rates in a Large Pediatric Primary Care Network.

Exposure to environmental lead continues to be a significant public health concern. Elevated blood lead levels can lead to neurocognitive delays and other adverse health outcomes. Unfortunately, screening rates in most communities remain low. This quality improvement project aimed to improve universal screening at 12 months of age and increase screening rates from 71% to 95%. The project team also aimed to improve risk-based screening at 24 months of age to increase screening rates from 41% to 70%. METHODS: This project utilized the Model for Improvement. After identifying key drivers, the team designed, tested, and adopted a series of interventions to improve lead screening. Dynamic order sets were developed that pre-checked the lead order, if appropriate, based on the patient's age, previous results, and risk factors. Sites received regular feedback on their screening rates. RESULTS: The percentage of patients receiving universal lead screening at their 12-month well visit increased from 71% to 96%. 70% of 2-year-olds were at risk for lead exposure based on ZIP code and insurance provider. Development of dynamic orders for patients at risk increased screening rates from 41% to 74% at the 24-month well visit. CONCLUSIONS: Utilization of clinical decision support tools within an electronic health record can significantly increase the percentage of children screened for lead toxicity. Similar tools could identify patients due for other screens or interventions, resulting in improved care and patient outcomes.

ß-alanine supplementation improves in-vivo fresh and fatigued skeletal muscle relaxation speed.

PURPOSE: In fresh muscle, supplementation with the rate-limiting precursor of carnosine, ß-alanine (BA), results in a decline in muscle half-relaxation time (HRT) potentially via alterations to calcium (Ca2+) handling. Accumulation of hydrogen cation (H+) has been shown to impact Ca2+ signalling during muscular contraction, carnosine has the potential to serve as a cytoplasmic regulator of Ca2+ and H+ coupling, since it binds to both ions. The present study examined the effect of BA supplementation on intrinsic in-vivo isometric knee extensor force production and muscle contractility in both fresh and fatigued human skeletal muscle assessed during voluntary and electrically evoked (nerve and superficial muscle stimulation) contractions. METHODS: Twenty-three males completed two experimental sessions, pre- and post- 28 day supplementation with 6.4 g.day-1 of BA (n = 12) or placebo (PLA; n = 11). Isometric force was recorded during a series of voluntary and electrically evoked knee extensor contractions. RESULTS: BA supplementation had no effect on voluntary or electrically evoked isometric force production, or twitch electromechanical delay and time-to-peak tension. There was a significant decline in muscle HRT in fresh and fatigued muscle conditions during both resting (3 ± 13%; 19 ± 26%) and potentiated (1 ± 15%; 2 ± 20%) twitch contractions. CONCLUSIONS: The mechanism for reduced HRT in fresh and fatigued skeletal muscle following BA supplementation is unclear. Due to the importance of muscle relaxation on total energy consumption, especially during short, repeated contractions, BA supplementation may prove to be beneficial in minimising contractile slowing induced by fatigue. TRIAL REGISTRATION: The trial is registered with Clinicaltrials.gov, ID number NCT02819505.