National Sleep Foundation's updated sleep duration recommendations: final report.

OBJECTIVE: To make scientifically sound and practical recommendations for daily sleep duration across the life span. METHODS: The National Sleep Foundation convened a multidisciplinary expert panel (Panel) with broad representation from leading stakeholder organizations. The Panel evaluated the latest scientific evidence and participated in a formal consensus and voting process. Then, the RAND/UCLA Appropriateness Method was used to formulate sleep duration recommendations. RESULTS: The Panel made sleep duration recommendations for 9 age groups. Sleep duration ranges, expressed as hours of sleep per day, were designated as recommended, may be appropriate, or not recommended. Recommended sleep durations are as follows: 14-17 hours for newborns, 12-15 hours for infants, 11-14 hours for toddlers, 10-13 hours for preschoolers, 9-11 hours for school-aged children, and 8-10 hours for teenagers. Seven to 9 hours is recommended for young adults and adults, and 7-8 hours of sleep is recommended for older adults. The self-designated basis for duration selection and critical discussions are also provided. CONCLUSIONS: Consensus for sleep duration recommendations was reached for specific age groupings. Consensus using a multidisciplinary expert Panel lends robust credibility to the results. Finally, limitations and caveats of these recommendations are discussed.

National Sleep Foundation's sleep time duration recommendations: methodology and results summary.

OBJECTIVE: The objective was to conduct a scientifically rigorous update to the National Sleep Foundation's sleep duration recommendations. METHODS: The National Sleep Foundation convened an 18-member multidisciplinary expert panel, representing 12 stakeholder organizations, to evaluate scientific literature concerning sleep duration recommendations. We determined expert recommendations for sufficient sleep durations across the lifespan using the RAND/UCLA Appropriateness Method. RESULTS: The panel agreed that, for healthy individuals with normal sleep, the appropriate sleep duration for newborns is between 14 and 17 hours, infants between 12 and 15 hours, toddlers between 11 and 14 hours, preschoolers between 10 and 13 hours, and school-aged children between 9 and 11 hours. For teenagers, 8 to 10 hours was considered appropriate, 7 to 9 hours for young adults and adults, and 7 to 8 hours of sleep for older adults. CONCLUSIONS: Sufficient sleep duration requirements vary across the lifespan and from person to person. The recommendations reported here represent guidelines for healthy individuals and those not suffering from a sleep disorder. Sleep durations outside the recommended range may be appropriate, but deviating far from the normal range is rare. Individuals who habitually sleep outside the normal range may be exhibiting signs or symptoms of serious health problems or, if done volitionally, may be compromising their health and well-being.

National quality measures for child mental health care: background, progress, and next steps.

OBJECTIVE: To review recent health policies related to measuring child health care quality, the selection processes of national child health quality measures, the nationally recommended quality measures for child mental health care and their evidence strength, the progress made toward developing new measures, and early lessons learned from these national efforts. METHODS: Methods used included description of the selection process of child health care quality measures from 2 independent national initiatives, the recommended quality measures for child mental health care, and the strength of scientific evidence supporting them. RESULTS: Of the child health quality measures recommended or endorsed during these national initiatives, only 9 unique measures were related to child mental health. CONCLUSIONS: The development of new child mental health quality measures poses methodologic challenges that will require a paradigm shift to align research with its accelerated pace.

Emerging medicolegal issues in the practice of pediatric sleep medicine.

With the rapid growth in the field of pediatric sleep medicine, health care providers need to be aware of several emerging legal issues that have the potential of impacting their clinical practice. This article provides an overview of emerging legal areas that might impact the practice of pediatric sleep medicine, and discusses civil liability emerging from medical malpractice, issues that health care providers must be aware of including issues related to providing care for minors, and newer areas that relate to legal prosecution for health care fraud as it may relate to violations of quality of care.

Making the case to improve quality and reduce costs in pediatric health care.

This article makes a case for the urgent need to improve health care quality and reduce costs. It provides an overview of the importance of the quality movement and the definition of quality, including the concept of clinical and operational quality. Some national drivers for quality improvement as well as drivers of escalating health care costs are discussed, along with the urgency of reducing health care costs. The link between quality and cost is reviewed using the concept of value in health care, which combines quality and cost in the same equation. The article ends with a discussion of future directions of the quality movement, including emerging concepts, such as risk-adjustment, shared responsibility for quality, measuring quality at the individual provider level, and evolving legal implications of the quality movement, as well as the concept of a shared savings model.

Databases for assessing the outcomes of the treatment of patients with congenital and paediatric cardiac disease--the perspective of critical care.

The development of databases to track the outcomes of children with cardiovascular disease has been ongoing for much of the last two decades, paralleled by the rise of databases in the intensive care unit. While the breadth of data available in national, regional and local databases has grown exponentially, the ability to identify meaningful measurements of outcomes for patients with cardiovascular disease is still in its early stages. In the United States of America, the Virtual Pediatric Intensive Care Unit Performance System (VPS) is a clinically based database system for the paediatric intensive care unit that provides standardized high quality, comparative data to its participants [https://portal.myvps.org/]. All participants collect information on multiple parameters: (1) patients and their stay in the hospital, (2) diagnoses, (3) interventions, (4) discharge, (5) various measures of outcome, (6) organ donation, and (7) paediatric severity of illness scores. Because of the standards of quality within the database, through customizable interfaces, the database can also be used for several applications: (1) administrative purposes, such as assessing the utilization of resources and strategic planning, (2) multi-institutional research studies, and (3) additional internal projects of quality improvement or research.In the United Kingdom, The Paediatric Intensive Care Audit Network is a database established in 2002 to record details of the treatment of all critically ill children in paediatric intensive care units of the National Health Service in England, Wales and Scotland. The Paediatric Intensive Care Audit Network was designed to develop and maintain a secure and confidential high quality clinical database of pediatric intensive care activity in order to meet the following objectives: (1) identify best clinical practice, (2) monitor supply and demand, (3) monitor and review outcomes of treatment episodes, (4) facilitate strategic healthcare planning, (5) quantify resource requirements, and (6) study the epidemiology of critical illness in children.Two distinct physiologic risk adjustment methodologies are the Pediatric Risk of Mortality Scoring System (PRISM), and the Paediatric Index of Mortality Scoring System 2 (PIM 2). Both Pediatric Risk of Mortality (PRISM 2) and Pediatric Risk of Mortality (PRISM 3) are comprised of clinical variables that include physiological and laboratory measurements that are weighted on a logistic scale. The raw Pediatric Risk of Mortality (PRISM) score provides quantitative measures of severity of illness. The Pediatric Risk of Mortality (PRISM) score when used in a logistic regression model provides a probability of the predicted risk of mortality. This predicted risk of mortality can then be used along with the rates of observed mortality to provide a quantitative measurement of the Standardized Mortality Ratio (SMR). Similar to the Pediatric Risk of Mortality (PRISM) scoring system, the Paediatric Index of Mortality (PIM) score is comprised of physiological and laboratory values and provides a quantitative measurement to estimate the probability of death using a logistic regression model.The primary use of national and international databases of patients with congenital cardiac disease should be to improve the quality of care for these patients. The utilization of common nomenclature and datasets by the various regional subspecialty databases will facilitate the eventual linking of these databases and the creation of a comprehensive database that spans conventional geographic and subspecialty boundaries.

Electronic healthcare data collection and pay-for-performance: translating theory into practice.

With insight grounded in his work for a national data collection consortium and as Vice President of Quality and Outcomes at the Children's Hospital of Wisconsin, the author connects the theory of pay-for-performance to the realities of its implementation. The author expands the Diagnosing the Data conversation by describing the challenges of collecting meaningful data and by addressing the potential legal issues that data use raises. Drawing on his national and local experience, the author concludes with suggestions for adopting data collection programs that are both clinically relevant and scientifically reliable.

A randomized, controlled trial of the effectiveness of community-based case management in insuring uninsured Latino children.

BACKGROUND: Lack of health insurance adversely affects children's health. Eight million US children are uninsured, with Latinos being the racial/ethnic group at greatest risk for being uninsured. A randomized, controlled trial comparing the effectiveness of various public insurance strategies for insuring uninsured children has never been conducted. OBJECTIVE: To evaluate whether case managers are more effective than traditional methods in insuring uninsured Latino children. DESIGN: Randomized, controlled trial conducted from May 2002 to August 2004. SETTING AND PARTICIPANTS: A total of 275 uninsured Latino children and their parents were recruited from urban community sites in Boston. INTERVENTION: Uninsured children were assigned randomly to an intervention group with trained case managers or a control group that received traditional Medicaid and State Children's Health Insurance Program (SCHIP) outreach and enrollment. Case managers provided information on program eligibility, helped families complete insurance applications, acted as a family liaison with Medicaid/SCHIP, and assisted in maintaining coverage. MAIN OUTCOME MEASURES: Obtaining health insurance, coverage continuity, the time to obtain coverage, and parental satisfaction with the process of obtaining insurance for children were assessed. Subjects were contacted monthly for 1 year to monitor outcomes by a researcher blinded with respect to group assignment. RESULTS: One hundred thirty-nine subjects were assigned randomly to the intervention group and 136 to the control group. Intervention group children were significantly more likely to obtain health insurance (96% vs 57%) and had approximately 8 times the adjusted odds (odds ratio: 7.78; 95% confidence interval: 5.20-11.64) of obtaining insurance. Seventy-eight percent of intervention group children were insured continuously, compared with 30% of control group children. Intervention group children obtained insurance significantly faster (mean: 87.5 vs 134.8 days), and their parents were significantly more satisfied with the process of obtaining insurance. CONCLUSIONS: Community-based case managers are more effective than traditional Medicaid/SCHIP outreach and enrollment in insuring uninsured Latino children. Case management may be a useful mechanism to reduce the number of uninsured children, especially among high-risk populations.

Extubation failure in pediatric intensive care: a multiple-center study of risk factors and outcomes.

OBJECTIVE: To determine a contemporary failed extubation rate, risk factors, and consequences of extubation failure in pediatric intensive care units (PICUs). Three hypotheses were investigated: a) Extubation failure is in part disease specific; b) preexisting respiratory conditions predispose to extubation failure; and c) admission acuity scoring does not affect extubation failure. DESIGN: Twelve-month prospective, observational, clinical study. SETTING: Sixteen diverse PICUs in the United States. PATIENTS: Patients were 2,794 patients from the newborn period to 18 yrs of age experiencing a planned extubation trial. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: A descriptive statistical analysis was performed, and outcome differences of the failed extubation population were determined. The extubation failure rate was 6.2% (174 of 2,794; 95% confidence interval, 5.3-7.1). Patient features associated with extubation failure (p <.05) included age < or =24 months; dysgenetic condition; syndromic condition; chronic respiratory disorder; chronic neurologic condition; medical or surgical airway condition; chronic noninvasive positive pressure ventilation; the need to replace the endotracheal tube on admission to the PICU; and the use of racemic epinephrine, steroids, helium-oxygen therapy (heliox), or noninvasive positive pressure ventilation within 24 hrs of extubation. Patients failing extubation had longer pre-extubation intubation time (failed, 148.7 hrs, SD +/- 207.8 vs. success, 107.9 hrs, SD +/- 171.3; p <.001), longer PICU length of stay (17.5 days, SD +/- 15.6 vs. 7.6 days, SD +/- 11.1; p <.001), and a higher mortality rate than patients not failing extubation (4.0% vs. 0.8%; p <.001). Failure was found to be in part disease specific, and preexisting respiratory conditions were found to predispose to failure whereas admission acuity did not. CONCLUSION: A variety of patient features are associated with an increase in extubation failure rate, and serious outcome consequences characterize the extubation failure population in PICUs.