Collaboration of a Medical School With a Special Forces Group on Annual Training: A Blueprint.

Collaboration on annual training between a medical school and a National Guard Special Forces Group can be accomplished with great benefit to both parties. The authors describe the involvement by the Edward Via College of Osteopathic Medicine in providing training for the 20th Special Forces Group Medical Sergeants of the Alabama Army National Guard.

Performance of a Rasch-based method for group comparisons of longitudinal change and response shift at the item level in PRO data: A simulation study.

The growing interest in patient perception and experience in healthcare has led to an increase in the use of patient-reported outcomes (PRO) data. However, chronically ill patients may regularly adapt to their disease and, as a consequence, might change their perception of the PRO being measured. This phenomenon named response shift (RS) may occur differently depending on clinical and individual characteristics.

Fast and robust localization of surgical array using Kalman filter.

Problem: Intraoperative tracking of surgical instruments is an inevitable task of computer-assisted surgery. An optical tracking system often fails to precisely reconstruct the dynamic location and pose of a surgical tool due to the acquisition noise and measurement variance. Embedding a Kalman filter (KF) or any of its extensions such as extended and unscented Kalman filters (EKF and UKF) with the optical tracker resolves this issue by reducing the estimation variance and regularizing the temporal behavior.

Simulating Early Clinical Experiences With Surgical Procedures in the Anatomy Laboratory.

Background There is evidence to suggest that early exposure to clinical experiences could bolster a medical student's education and prepare them to tackle the problem-based learning encountered during clinical rotations. We hypothesized that incorporating common surgical procedures into the gross anatomy laboratory during preclinical years would enhance the anatomical learning experience for students. The incorporation of these procedures would not be disruptive to the normal conduct of the anatomy laboratory, nor result in exorbitant costs.

How to Investigate the Effects of Groups on Changes in Longitudinal Patient-Reported Outcomes and Response Shift Using Rasch Models.

In order to investigate patients' experience of healthcare, repeated assessments of patient-reported outcomes (PRO) are increasingly performed in observational studies and clinical trials. Changes in PRO can however be difficult to interpret in longitudinal settings as patients' perception of the concept being measured may change over time, leading to response shift (longitudinal measurement non-invariance) and possibly to erroneous interpretation of the observed changes in PRO. Several statistical methods for response shift analysis have been proposed, but they usually assume that response shift occurs in the same way in all individuals within the sample regardless of their characteristics.