View clinical trials related to Consensus Development.
Filter by:A consensus-based decision making process on fasting terminology will be conducted using the Delphi technique. To this aim, experts around the world are invited.
The 4 studies aim to collect and examine the opinions from multiple stakeholders of gerontechnology product including the demand side, funder, supply side and academia on Gerontechnology Evaluation Framework. The Evaluation Framework will describe the essential knowledge to conduct an evaluation study for 10 selected gerontechnology product themes in local service settings. Specifically, we will (1) develop the indicators to determine if a companion robot, which is one of the product themes, is 'good'; (2) describe feasible study designs, implementation strategies and data analyses to generate evidenced-based evaluation results of companion robots; (3) outline strategies to build organizational research capacity to facilitate the evaluation of gerontechnology products. In the Preparation Stage of all 4 studies, eligible participants will be recruited under purposive sampling and snowball sampling. Literature review, qualitative interviews and reflection on recent experience of evaluating gerontechnology products will be conducted. The opinions collected from the stakeholders will facilitate questionnaire development for the Delphi Stage. In the Delphi Stage of each of the 4 studies, there will be two rounds of quantitative validation of the grouped statements to generate consensus. Based on the opinions with consensus, the evaluation framework will be revised.
To develop a ranked list of up to 20 metrics, which can be used to evaluate the quality of anesthesia, perioperative care, and acute pain management for adult inpatient non-cardiac surgical patients for use in quality improvement and quality assurance, research, and continuing medical education in the Canadian care context.
The aim of this study is to develop a structured training program for robotic radical nephroureterectomy (RNU), based on a Delphi consensus among a panel of experts in this field. A standard questionnaire will be used to obtain experts' opinions on the training steps for robotic RNU.