An Initiative to Improve Performance on a National Transition of Care Measure and to Reduce Readmissions in an Academic Psychiatric Hospital

Author(s):  
Luming Li ◽  
William Kulp ◽  
Heidi Krieg ◽  
Dennis Aptaker ◽  
Beth Klink ◽  
...  
2014 ◽  
Vol 45 (3) ◽  
pp. 239-245 ◽  
Author(s):  
Robert J. Calin-Jageman ◽  
Tracy L. Caldwell

A recent series of experiments suggests that fostering superstitions can substantially improve performance on a variety of motor and cognitive tasks ( Damisch, Stoberock, & Mussweiler, 2010 ). We conducted two high-powered and precise replications of one of these experiments, examining if telling participants they had a lucky golf ball could improve their performance on a 10-shot golf task relative to controls. We found that the effect of superstition on performance is elusive: Participants told they had a lucky ball performed almost identically to controls. Our failure to replicate the target study was not due to lack of impact, lack of statistical power, differences in task difficulty, nor differences in participant belief in luck. A meta-analysis indicates significant heterogeneity in the effect of superstition on performance. This could be due to an unknown moderator, but no effect was observed among the studies with the strongest research designs (e.g., high power, a priori sampling plan).


2008 ◽  
Author(s):  
Dominick Dephilillis ◽  
Peter E. Quintieri ◽  
Heather K. Noble ◽  
Jose F. Reyes ◽  
Sangeeta Akundi

1991 ◽  
Vol 30 (03) ◽  
pp. 187-193 ◽  
Author(s):  
H. J. Moens ◽  
J. K. van der Korst

AbstractA Bayesian decision support system was developed for the diagnosis of rheumatic disorders. Knowledge in this system is represented as evidential weights of findings. Simple weights were calculated as the logarithm of likelihood ratios on the basis of 1,000 consecutive patients from a rheumatological clinic. The effect of various methods to improve performance of the system by modification of the weights was studied. Three methods had a mathematical basis; a fourth consisted of weights adapted by a human expert, which allowed inclusion of diagnostic rules such as defined in widely accepted criteria sets. The system’s performance was measured in a test population of 570 different cases from the same clinic and compared with predictions of diagnostic outcome made by rheumatologists. The weights from a human expert gave optimal results (sensitivity 65% and specificity 96%), that were close to the physicians’ predictions (sensitivity 64% and specificity 98%). The methods to measure the performance of the various models used in this study emphasize sensitivity, specificity and the use of receiver operating characteristics.


2020 ◽  
Vol 09 (04) ◽  
pp. 177-185
Author(s):  
Natalie Guido-Estrada ◽  
Shifteh Sattar

AbstractThere is scarce evidence in review of the available literature to support a clear and superior model for the transition of care for epilepsy patients from pediatric to adult centers. Anecdotally, there is a common perception that families are reluctant to make this change and that the successful transition of care for epilepsy can be a challenge for patients, families, and physicians. As part of the effort to prepare the patient and family for the adult model of care, several treatment issues should be addressed. In this article, we discuss the specific challenges for physicians in transition of care for epilepsy patients from a pharmacological standpoint, which include differences in metabolism and pharmacodynamics that can impact tolerability or efficacy of antiepileptic medications, lifestyle changes affecting medication compliance and seizure control, acquired adult health conditions necessitating new medications that may result in adverse drug interactions, and adult neurologists' potential lack of familiarity with certain medications typically used in the pediatric epilepsy population. We offer this as a guide to avoid one of the many possible pitfalls when epilepsy patients transition to adult care.


Sign in / Sign up

Export Citation Format

Share Document