Literature DB >> 35001108

Life Support Course for Nurses: beyond competency training.

Yen Tjuin Eugene Teoh1, Jenny Jok Hiok Chew2, Ai Ling Irene Lee1, Umadevi Panneer Selvam1, Fong Chi Wee1.   

Abstract

The Life Support Course for Nurses (LSCN) equips nurses with the resuscitation skills needed to be first responders in in-hospital cardiac arrests. Previous published articles on the LSCN were mainly focused on the development of the LSCN in Singapore, as well as nurses' confidence level, defibrillation experience and outcomes, the perceived barriers faced by nurses and the usefulness of the course. This paper highlights the importance of two key learning methodologies in the LSCN: deep learning and reflection. Copyright: © Singapore Medical Association.

Entities:  

Keywords:  Life Support Course For Nurses; deep learning; reflection; resuscitation

Mesh:

Year:  2021        PMID: 35001108      PMCID: PMC8804486          DOI: 10.11622/smedj.2021111

Source DB:  PubMed          Journal:  Singapore Med J        ISSN: 0037-5675            Impact factor:   1.858


  5 in total

1.  Deep versus surface learning with multimedia in nursing education development and evaluation of WoundCare.

Authors:  G C Ross; J E Tuovinen
Journal:  Comput Nurs       Date:  2001 Sep-Oct

2.  Concept-Based Learning in Clinical Experiences: Bringing Theory to Clinical Education for Deep Learning.

Authors:  Ann Nielsen
Journal:  J Nurs Educ       Date:  2016-07-01       Impact factor: 1.726

3.  Reflective practice.

Authors:  S Atkins; K Murphy
Journal:  Nurs Stand       Date:  1995 Aug 2-8

4.  Educational needs and preferred learning approaches of the paediatric palliative care workforce: A qualitative exploratory study.

Authors:  Cari Malcolm; Debbie McGirr
Journal:  Nurse Educ Today       Date:  2020-03-29       Impact factor: 3.442

5.  Expert nurse to novice academic: Reflections on the first year of transition from practitioner to academic.

Authors:  Bruce Harper-McDonald; Gillian Taylor
Journal:  Nurse Educ Today       Date:  2020-04-15       Impact factor: 3.442

  5 in total

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