PubMed · 4783592
The source did not provide an abstract. Follow the original record for more information.
Explore connections, maps & timelines
R Dimmick. 1973. Thoughts on two joints.. https://pubmed.ncbi.nlm.nih.gov/4783592/
Cite the original work for its findings. Save a collection to share your selection of sources.
KEEP EXPLORING
Patients usually cannot assess the technical quality of their care; however, examining a hospitalization through the patients' eyes can reveal important information about the quality of care. Patients are the best source of information about a hospital system's communication, education, and pain-management processes, and they are the only source of information about whether they were treated with dignity and respect. Their experiences often reveal how well a hospital system is operating and can stimulate important insights into the kinds of changes that are needed to close the chasm between the care provided and the care that should be provided. This article examines the case of a patient admitted for ankle arthrodesis due to severe hemophilia-related arthritis. The surgery was successful, but the hospital stay was marked by inefficiency and inconveniences, as well as events that reveal fundamental problems with the hospital's organization and teamwork. These problems could seriously compromise the quality of clinical care. Unfortunately, most of these events occur regularly in U.S. hospitals. Relatively easy and inexpensive ways to avoid many of these problems are discussed, such as reducing variability in non-urgent procedures and routinely asking patients about their experiences and suggestions for improvement.
Explore the source record for details and available documents.
Representation and identification of a parallel pathway description of ankle dynamics as a model of the nonlinear autoregressive, moving average exogenous (NARMAX) class is considered. A nonlinear difference equation describing this ankle model is derived theoretically and shown to be of the NARMAX form. Identification methods for NARMAX models are applied to ankle dynamics and its properties investigated via continuous-time simulations of experimental conditions. Simulation results show that 1) the outputs of the NARMAX model match closely those generated using continuous-time methods and 2) NARMAX identification methods applied to ankle dynamics provide accurate discrete-time parameter estimates. Application of NARMAX identification to experimental human ankle data models with high cross-validation variance accounted for.