Objective To evaluate the effect of intervention by Teach-back and Douyin platform short video health education on stigma, reproductive quality life, family intimacy adaptability in women receiving infertility treatment. Methods This study is a quasi-experimental study. The period 6 weeks, was implemented between January 2022 August 2022. A total 80 (40 control group 40 observation group) treat...

Development of a Teach-Back Educational Module for Heart Failure Discharge Teaching by Marissa Blair Jamarik MSN, George Mason University, 2005 BSN, Shenandoah University, 1997 Proposal Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Nursing Practice Walden University May 2016 Abstract Heart failure (HF) readmissions create a financial burden for healthcare nati...

OBJECTIVES To assess the impact of teaching about back pain to medical students using trained patient partners (PP). METHODS An initial training programme for four PPs (two with sciatica and two with ankylosing spondylitis) followed by teaching to alternate groups of medical students at the Whittington Campus of the Royal Free and University College Medical School (RFUCMS). A control group of...

Purpose: To evaluate whether active learning-based training in teach-back and plain language (TBPL) techniques can lead to observable changes to patient-centered practices in pharmacist-patient counseling. Methods: All pharmacists in direct patient care roles, inpatient and outpatient, were required to complete a didactic module and a workshop / webinar or small group training. The workshop / w...

The CMS is pleased to offer free access to its back file of all issues of Crux as a service for the greater mathematical community in Canada and beyond. were published under the name Crux Mathematicorum with Mathematical Mayhem. CRUX MATHEMATICORUM is a problem-solving journal at the senior secondary and university undergraduate levels for those who practise or teach mathematics. Its purpose is...

This paper presents numerical studies of applying back-propagation learning to a delayed recurrent neural network (DRNN). The DRNN is a continuous-time recurrent neural network having time delayed feedbacks and the back-propagation learning is to teach spatio-temporal dynamics to the DRNN. Since the time-delays make the dynamics of the DRNN infinite-dimensional, the learning algorithm and the l...