Track topics on Twitter Track topics that are important to you
Published on BioPortfolio: 2017-12-13T08:34:07-0500
This research will test a technology adoption framework to increase use of the A-CHESS smartphone app. The project, based in Iowa, will compare a control condition (using a typical product...
Addiction treatment is often characterized by long delays between first contact and treatment as well as high no-show and drop out rates leading to unused capacity in apparently full agenc...
A computational model has been created to estimate the abdominal depth of a patient from a single x-ray image. The model has been tested using phantoms and found to be accurate; this study...
To include patient after traumatic (calcaneal) fractures for this study. They can be included to analyze gait with the OFM foot model, a non invasis model. Patient will be invited to the m...
This is a cluster-randomized controlled trial designed to increase the availability of buprenorphine treatment slots in specialty addiction treatment organizations to treat opioid use. The...
Patient no-show is a prevalent problem in health care services leading to inefficient resources allocation and limited access to care. This study aims to develop and validate a patient no-show predict...
Chorioallantoic membrane assay (CAM assay) using fertilized chicken eggs has been used for the study of tumor formation, angiogenesis and metastasis. Recently, there is growing realization that this s...
The progress and recovery of a patient with mania during hospitalization is differently seen by professionals working at an admission ward and by relatives of the patient. Professionals often indicate...
The purpose of this study was to investigate patient- and procedure-related variables affecting the false-negative rate of ultrasound (US)-guided liver biopsy and to develop a standardized patient-tai...
The research into patient involvement is seldom concerned with the significance of cultural and structural factors. In this discussion paper, we illustrate our considerations on some of the challenges...
Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.
Providing the patient, family or others information, and then allowing them to take an action or restate the information in their own words. The clinician prefaces communications with a statement framed to show the clinician has the burden of effective communication rather than the patient.
PATIENTS who do not turn up for scheduled healthcare appointments. Do not confuse with PATIENT DROPOUTS.
Theoretical models simulating behavior or activities in nursing, including nursing care, management and economics, theory, assessment, research, and education. Some examples of these models include Orem Self-Care Model, Roy Adaptation Model, and Rogers Life Process Model.
A principle of estimation in which the estimates of a set of parameters in a statistical model are those quantities minimizing the sum of squared differences between the observed values of a dependent variable and the values predicted by the model.