Adding value to clinical data by linkage to a public death registry.

We describe the methodology and impact of merging detailed statewide mortality data into the master patient index tables of the clinical data repository (CDR) of the University of Virginia Health System (UVAHS). We employ three broadly inclusive linkage passes (designed to result in large numbers of false positives) to match the patients in the CDR to those in the statewide files using the following criteria: a) Social Security Number; b) Patient Last Name and Birth Date; c) Patient Last Name and Patient First Name. The results from these initial matches are refined by calculation and assignment of a total score comprised of partial scores depending on the quality of matching between the various identifiers. In order to validate our scoring algorithm, we used those patients known to have died at UVAHS over the eight year period as an internal control. We conclude that we are able to update our CDR with 97% of the deaths from the state source using this scheme. We illustrate the potential of the resulting system to assist caregivers in identification of at-risk patient groups by description of those patients in the CDR who were found to have committed suicide. We suggest that our approach represents an efficient and inexpensive way to enrich hospital data with important outcomes information.

The EEG consistency index as a measure of ADHD and responsiveness to medication.

The primary diagnostic procedure for Attention-Deficit/Hyperactivity Disorder (ADHD) is the clinical interview, because psychological, neuropsychological, and neurological tests to date have not had sufficient specificity. Currently, there is no objective means to measure severity of ADHD, or the extent to which it is benefited by various dosages of medication. We recently reported that a certain EEG profile, the Consistency Index, occurring during the transition between two easy cognitive tasks clearly differentiated ADHD from non-ADHD boys between the ages of 8 and 12. The current study replicated this with older males (19-25) using different tasks, and a double blind, placebo versus Ritalin controlled crossover design. Seven ADHD subjects were found to have a significantly lower Consistency Index than 6 non-ADHD males while transitioning from 2 Simple tasks during placebo condition, while only the ADHD subjects demonstrated a significant improvement in their Consistency Index while on Ritalin. Similar but nonsignificant trends were observed while transitioning across Hard tasks.

Effect of stimulant medication on driving performance of young adults with attention-deficit hyperactivity disorder: a preliminary double-blind placebo controlled trial.

Driving performance of adult males with attention-deficit hyperactivity disorder (ADHD) was compared with matched controls in a double-blind (Ritalin vs. placebo) cross-over design, using a high-fidelity driving simulator. Seven ADHD and six non-ADHD drivers (mean age 22) were screened to rule out comorbidity and assess for ADHD, and then admitted to the General Clinical Research Center to control diet and sleep before testing. At 0800 and 1530, subjects consumed either a placebo or Ritalin pill in a counter-balanced manner, and at 0930 and 1700, subjects drove the simulator. After both drives, subjects rated their driving performance. Compared with non-ADHD subjects, ADHD subjects had more career driving accidents (p < .04) and motor vehicle violations (p = .059), drove worse on the simulator under placebo condition (p < .05), demonstrated significant improvement under the Ritalin condition (p < .05), rated themselves as driving poorer during the placebo condition (p = .05), and tended to perceive their driving to be better during the Ritalin condition (p = .07). This would suggest that individuals with ADHD should have the therapeutic benefit of a stimulant medication when operating a vehicle.

The effect of patients' beliefs about their illnesses on compliance in psychotherapy.

Sixty patients treated in the outpatient psychiatric clinic of a large urban teaching hospital were surveyed regarding their beliefs about the causes of their illness. Patients' beliefs were found to be related to two measures of compliance: number of visits and manner of termination from therapy. Subjects endorsing more medical and fewer nonmedical explanations for their illness made more visits to the clinic and ended treatment in a more compliant manner than did patients who endorsed more nonmedical beliefs about the causes of their illness. Results also showed that, except for age, demographic and diagnostic variables were not related to compliance.