Evaluation of a six-week professional education curriculum designed to retain registered psychiatric nurses

During the past few years there has been a drastic shortage of registered nurses in the field. The shortage appears to have affected the field of psychiatric mental health nursing most intensely. The psychiatric nursing shortage is a multifaceted problem grounded in decreasing federal funds for advanced clinical training, inadequate undergraduate psychiatric experiences, lack of a well prepared articulate role model, the integrated curriculum and the confusion and blurring associated with the roles and functions of the psychiatric mental health nurse.^ This dissertation will describe the current nursing shortage; the decline in enrollment to nursing programs; the history of psychiatric nursing as a discipline; the shortage of psychiatric mental health nurses; factors contributing to the psychiatric nursing shortage and a plan for a solution to the nursing shortage in psychiatry.^ The paper focuses on an evaluation conducted on an internship curriculum designed to facilitate effective nursing care in the treatment of clients who exhibit emotional problems. The purpose of this study was to attract and retain nurses to employment opportunities in four Hospital Corporation of America (HCA) facilities, using a six week internship program.^ The study will yield an analysis of the effect of combining psychodynamic principles and knowledge with skills in the clinical area. The demands of educational practice have been merged with the discipline of psychiatric nursing in the development of this curriculum. ^

A novel 3-D segmentation algorithm for anatomic liver and tumor volume calculations for liver cancer treatment planning

Three-Dimensional (3-D) imaging is vital in computer-assisted surgical planning including minimal invasive surgery, targeted drug delivery, and tumor resection. Selective Internal Radiation Therapy (SIRT) is a liver directed radiation therapy for the treatment of liver cancer. Accurate calculation of anatomical liver and tumor volumes are essential for the determination of the tumor to normal liver ratio and for the calculation of the dose of Y-90 microspheres that will result in high concentration of the radiation in the tumor region as compared to nearby healthy tissue. Present manual techniques for segmentation of the liver from Computed Tomography (CT) tend to be tedious and greatly dependent on the skill of the technician/doctor performing the task. ^ This dissertation presents the development and implementation of a fully integrated algorithm for 3-D liver and tumor segmentation from tri-phase CT that yield highly accurate estimations of the respective volumes of the liver and tumor(s). The algorithm as designed requires minimal human intervention without compromising the accuracy of the segmentation results. Embedded within this algorithm is an effective method for extracting blood vessels that feed the tumor(s) in order to plan effectively the appropriate treatment. ^ Segmentation of the liver led to an accuracy in excess of 95% in estimating liver volumes in 20 datasets in comparison to the manual gold standard volumes. In a similar comparison, tumor segmentation exhibited an accuracy of 86% in estimating tumor(s) volume(s). Qualitative results of the blood vessel segmentation algorithm demonstrated the effectiveness of the algorithm in extracting and rendering the vasculature structure of the liver. Results of the parallel computing process, using a single workstation, showed a 78% gain. Also, statistical analysis carried out to determine if the manual initialization has any impact on the accuracy showed user initialization independence in the results. ^ The dissertation thus provides a complete 3-D solution towards liver cancer treatment planning with the opportunity to extract, visualize and quantify the needed statistics for liver cancer treatment. Since SIRT requires highly accurate calculation of the liver and tumor volumes, this new method provides an effective and computationally efficient process required of such challenging clinical requirements.^