健康科学杂志

  • 国际标准期刊号: 1108-7366
  • 期刊 h 指数: 51
  • 期刊引用分数: 10.69
  • 期刊影响因子: 9.13
索引于
  • Genamics 期刊搜索
  • 中国知网(CNKI)
  • 引用因子
  • CINAHL 完整
  • 西马戈
  • 电子期刊图书馆
  • 研究期刊索引目录 (DRJI)
  • EMCare
  • OCLC-WorldCat
  • 大学教育资助委员会
  • 日内瓦医学教育与研究基金会
  • 欧洲酒吧
  • 谷歌学术
  • 夏尔巴罗密欧
  • 秘密搜索引擎实验室
分享此页面

抽象的

Clinical Experiences of Nursing Students at a Selected Institute of Health Sciences in Botswana

Lakshmi Rajeswaran

Aim: The aim of the research was to explore the nursing students’ opinion and their experiences about their clinical learning.

Objectives:

• Explore how student nurses find their initial experiences in the clinical area.

• Identify the contributory and hindering factors for effective learning in the clinical area.

• Identify teaching strategies that will enhance learning in the clinical area.

Background: Clinical learning is an important component of nursing education and takes place in a complex social contact of the clinical environment. Learning in a clinical setting creates challenges that are absent in a classroom.

Design: Qualitative research design was used and data were collected from Level II and Level III nursing students. Convenience sampling technique was utilized to collect data from the participants. Two FGDs among level III and two among level II nursing students were conducted at the Institute of Health Sciences, Botswana. There were four focus groups discussions and each had eleven participants.

Data analysis: The data were analysed by content analysis using a thematic framework approach.

Results: Focus group discussions revealed that nursing students did experience initial clinical anxiety, stress, lack of teaching and guiding support, lack of organizational support and resources, inadequate clinical supervision, and role acceptance.

Conclusion: The findings highlight the importance of clinical learning in the integration of nursing education and practice. Nurse educators and clinical nurses should strive to create a conducive environment, which maximises the nursing students’ clinical learning.

免责声明: 此摘要通过人工智能工具翻译,尚未经过审核或验证