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We propose a new design for dose finding for cytotoxic agents in two ordered groups of patients. By ordered groups, we mean that prior to the study there is clinical information that would indicate that for a given dose one group would be more susceptible to toxicities than patients in the other group. The designs are evaluated relative to two previously proposed designs for ordered groups over a range of scenarios generated randomly from a family of dose-toxicity curves. Copyright © 2016 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Data from the 2009-2010 US National Survey of Children with Special Health Care Needs were examined to determine the health, developmental and behavioral status of adolescents with cerebral palsy (CP) and to assess how well pediatric health care providers were preparing them for transition to adult health care services. Adolescents with CP had no higher rates of attention deficit hyperactivity disorder, depression, anxiety, oppositional or conduct disorders, or autism spectrum than a comparison group. However, those with CP participated less in sports, clubs, or other organized activities (P < .001). Neither group reported much help in coordinating health services or preparing for transition to adult health care services. Inadequate adult health care services have a direct and unsatisfactory impact on the adult life span. Physicians and other health care providers who include adolescents with CP in their practices should begin discussion and planning for transition to adult health care early in adolescence. [ABSTRACT FROM PUBLISHER]

AIMS: Estimate the prevalence of specific developmental, emotional, and behavioral (DEB) problems across selected chronic health conditions; examine the relationship of chronic health conditions to functional activities and participation; determine the potential confounding effect of sociodemographic factors on the prevalence of DEB problems.METHODS: The 2007 National Survey of Children's Health, conducted by the Centers for Disease Control and Prevention, served as the primary data source for this study. A total of 91.642 interviews (66.6% response rate for identified households with children) were performed. Population-based estimates were obtained for variables of interest by assigning sampling weights to each child for whom an interview was completed.RESULTS: Parents were two to 30 times more likely to report DEB problems, such as Attention Deficit/Hyperactivity Disorder, depression, learning problems, and challenging behaviors, for children with chronic health conditions. These children had a greater number and range of difficulties with social interaction and school functioning as well as a lower rate of participation in community activities. Although highest rates of DEB problems were reported for those conditions involving the nervous or sensory systems, children with asthma, diabetes, and musculoskeletal conditions also had a higher rate of problems than children without the conditions. The higher prevalence of DEB problems remained after statistical adjustment for socio-demographic factors.CONCLUSIONS: Children with a spectrum of chronic health conditions are at high risk for DEB problems that affect learning, behavior, and emotional well-being. As part of a comprehensive approach to the management of chronic health conditions, children should be screened for these problems and referred for appropriate further evaluation and remediation. Attention to these common co-morbidities will not only result in enhanced quality of life but will also promote better adherence to medical recommendations and, thereby, optimal disease control. [ABSTRACT FROM AUTHOR]

Toxicity probability interval designs have received increasing attention as a dose-finding method in recent years. In this study, we compared the two-stage, likelihood-based continual reassessment method (CRM), modified toxicity probability interval (mTPI), and the Bayesian optimal interval design (BOIN) in order to evaluate each method's performance in dose selection for phase I trials. We use several summary measures to compare the performance of these methods, including percentage of correct selection (PCS) of the true maximum tolerable dose (MTD), allocation of patients to doses at and around the true MTD, and an accuracy index. This index is an efficiency measure that describes the entire distribution of MTD selection and patient allocation by taking into account the distance between the true probability of toxicity at each dose level and the target toxicity rate. The simulation study considered a broad range of toxicity curves and various sample sizes. When considering PCS, we found that CRM outperformed the two competing methods in most scenarios, followed by BOIN, then mTPI. We observed a similar trend when considering the accuracy index for dose allocation, where CRM most often outperformed both mTPI and BOIN. These trends were more pronounced with increasing number of dose levels. Copyright © 2016 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Adaptive, model-based, dose-finding methods, such as the continual reassessment method, have been shown to have good operating characteristics. One school of thought argues in favor of the use of parsimonious models, not modeling all aspects of the problem, and using a strict minimum number of parameters. In particular, for the standard situation of a single homogeneous group, it is common to appeal to a one-parameter model. Other authors argue for a more classical approach that models all aspects of the problem. Here, we show that increasing the dimension of the parameter space, in the context of adaptive dose-finding studies, is usually counter productive and, rather than leading to improvements in operating characteristics, the added dimensionality is likely to result in difficulties. Among these are inconsistency of parameter estimates, lack of coherence in escalation or de-escalation, erratic behavior, getting stuck at the wrong level, and, in almost all cases, poorer performance in terms of correct identification of the targeted dose. Our conclusions are based on both theoretical results and simulations. Copyright © 2016 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Interprofessional education (IPE) to improve collaborative competencies is essential for delivering high-quality care. Yet creating clinically relevant IPE and linking it to improvements in behaviours remains challenging, and few objective measurement instruments are available. We developed a process for creating IPE and objective observational tools through collaborative care best practice models (CCBPMs). These models describe the professional and interprofessional behaviours needed for specific patient populations, illnesses, and care settings. Four IPE workshops based on CCBPMs were implemented for all medical and nursing students during their clinical/clerkships years. Students in Cohort 1 completed two IPE workshops: rapid response and end-of-life. For Cohort 2, students completed four IPE workshops, adding chronic paediatric illness and transitions for the cognitively impaired. Valid and reliable collaborative behaviors observational assessment tools (CBOATs) derived from CCBPMs for the rapid response and end-of-life workshops were developed. CBOATs were used in the longitudinal assessment of student learning for both cohorts during two Interprofessional Teamwork Objective Structured Clinical Examinations (ITOSCEs) conducted before and after the students completed the IPE workshops. Over a 2-year period, 457 students completed the IPE simulations and ITOSCEs. Both medical and nursing students demonstrated significant improvement in CBOAT scores. Comparisons between the cohorts showed that participation in four versus two IPE experiences did not significantly improve most CBOAT scores. We conclude that undergraduate IPE simulation experiences based on CCBPMs result in measurable improvements in learner behaviours necessary for effective collaborative and team-based practice in specific care areas. [ABSTRACT FROM PUBLISHER]