Growing evidence suggests that sleep plays an important role in the process of procedural learning. Most recently, sleep has been implicated in the continued development of motor-skill learning following initial acquisition. However, the temporal evolution of motor learning before and after sleep, the effects of different training regimens, and the long-term development of motor learning across multiple nights of sleep remain unknown. Here, we report data for subjects trained and retested on a sequential finger-tapping task across multiple days. The findings demonstrate firstly that following initial training, small practice-dependent improvements are possible before, but not following the large practice-independent gains that develop across a night of sleep. Secondly, doubling the quantity of initial training does not alter the amount of subsequent sleep-dependent learning that develops overnight. Thirdly, the amount of sleep-dependent learning does not correlate with the amount of practice-dependent learning achieved during training, suggesting the existence of two discrete motor-learning processes. Finally, whereas the majority of sleep-dependent motor-skill learning develops during the first night of sleep following training, additional nights of sleep still offer continued improvements.

Performance on quality indicators for individual members is associated with sociodemographic context. Adjustment has little impact on the measured performance of most plans but a substantial impact on a few. Further study with more plans is required to determine the appropriateness and feasibility of adjustment.

BackgroundMost existing tools for measuring the quality of Internet health information focus almost exclusively on structural criteria or other proxies for quality information rather than evaluating actual accuracy and comprehensiveness.ObjectiveThis research sought to develop a new performance-measurement tool for evaluating the quality of Internet health information, test the validity and reliability of the tool, and assess the variability in diabetes Web site quality.MethodsAn objective, systematic tool was developed to evaluate Internet diabetes information based on a quality-of-care measurement framework. The principal investigator developed an abstraction tool and trained an external reviewer on its use. The tool included 7 structural measures and 34 performance measures created by using evidence-based practice guidelines and experts' judgments of accuracy and comprehensiveness.ResultsSubstantial variation existed in all categories, with overall scores following a normal distribution and ranging from 15% to 95% (mean was 50% and median was 51%). Lin's concordance correlation coefficient to assess agreement between raters produced a rho of 0.761 (Pearson's r of 0.769), suggesting moderate to high agreement. The average agreement between raters for the performance measures was 0.80.ConclusionsDiabetes Web site quality varies widely. Alpha testing of this new tool suggests that it could become a reliable and valid method for evaluating the quality of Internet health sites. Such an instrument could help lay people distinguish between beneficial and misleading information.

Guidelines from the National Cholesterol Education Program (NCEP) recommend reduction of low-density lipoprotein cholesterol (LDL-C) to 100 mg/dL (2.59 mmol/L) or less in patients with established coronary heart disease (CHD). However, the National Committee for Quality Assurance (NCQA) is implementing a new performance measure as part of the Health Plan Employer and Data Information Set (HEDIS) that appears to endorse a different target. The new HEDIS measure will require managed care organizations seeking NCQA accreditation to measure and report the percentage of patients who have had major CHD events who achieve LDL-C levels less than 130 mg/dL (3.36 mmol/L) between 60 and 365 days after discharge. These different LDL-C thresholds emphasize the difference between a clinical goal for the management of individual patients (< or =100 mg/dL) and a performance measure used to evaluate the care of a population of patients (<130 mg/dL). This article discusses the rationale for each threshold and explains the use of 2 different thresholds for these 2 purposes. Both the NCQA and NCEP expect that the new HEDIS measure will encourage managed care organizations to develop systems that improve secondary prevention of CHD.

Over 30,000 clinicians have already qualified to receive initial incentive payments for the meaningful use of electronic health records (EHRs) through the Centers for Medicare & Medicaid Services (CMS) EHR Incentive Programs. However, 2012 is the final year to receive maximum incentive payments, and many physicians still have questions regarding meaningful use objectives and how to register for, report, and attest to meaningful use. We provide herein an overview of the Medicare and Medicaid EHR Incentive Programs and guide physicians in the process of how to demonstrate meaningful use of health information technology.