The National Hospital Care Survey Is a Unique Source of Data on Rare Diseases.

Objectives: This study aims to demonstrate the usefulness of the National Hospital Care Survey (NHCS) for studying rare diseases.

Methods: NHCS contains data on millions of hospital patients from participating US hospitals, including diagnoses coded using 10th revision of International Classification of Diseases, Clinical Modification, making it likely that some of the patients have a diagnosed rare disease. The data for 2016 are unweighted and are not nationally representative.

Evaluation of Transition From ICD-9-CM to ICD-10-CM Diagnosis Coding System in the National Ambulatory Medical Care Survey.

Objective-On October 1, 2015, the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) replaced ICD-9-CM (Ninth Revision) as the diagnosis coding scheme for the U.S. health care system.

Is seizure frequency variance a predictable quantity?

Background: There is currently no formal method for predicting the range expected in an individual's seizure counts. Having access to such a prediction would be of benefit for developing more efficient clinical trials, but also for improving clinical care in the outpatient setting.

Methods: Using three independently collected patient diary datasets, we explored the predictability of seizure frequency.

A multi-dataset time-reversal approach to clinical trial placebo response and the relationship to natural variability in epilepsy.

Purpose: Clinical epilepsy drug trials have been measuring increasingly high placebo response rates, up to 40%. This study was designed to examine the relationship between the natural variability in epilepsy, and the placebo response seen in trials. We tested the hypothesis that 'reversing' trial direction, with the baseline period as the treatment observation phase, would reveal effects of natural variability.

Does accounting for seizure frequency variability increase clinical trial power?

Objective: Seizure frequency variability is associated with placebo responses in randomized controlled trials (RCT). Increased variability can result in drug misclassification and, hence, decreased statistical power. We investigated a new method that directly incorporated variability into RCT analysis, Z.

Factors associated with substance use treatment completion in residential facilities.

Purpose: Individuals in residential treatment often face many challenges, which can include limited education, unstable housing, difficulty participating in the workforce, and severe substance use problems. We analyzed factors associated with substance use treatment completion. We focused on factors that can be influenced by health care system changes resulting from the Affordable Care Act (ACA).