PAP Rashidah Sa'adatul Bolkiah Institute of Health Sciences, Universiti Brunei Darussalam, Jalan Tungku Link Gadong, BE1410, Negara, Brunei Darussalam.
Department of Nursing Services, Ministry of Health, Brunei Darussalam, Negara, Brunei Darussalam.
Nurse Educ Today. 2018 Oct;69:60-66. doi: 10.1016/j.nedt.2018.06.030. Epub 2018 Jul 5.
To systematically review the existing evidence on predictors for nurses and midwives' readiness towards Self-directed Learning (SDL).
Increased complexities in healthcare settings demand that nurses and midwives become involved in lifelong learning by means of self-directed learning (SDL) for delivering quality healthcare. More evidence is available for the self-directed learning readiness (SDLR) of nursing and midwifery students, less is systematically derived on predictors for nurses and midwives' readiness to SDL.
An integrative systematic review.
Systematic searches were carried out using the following five electronic databases: PubMed, Science Direct, Google Scholar, Ovid Medline and Embase. Studies published in English language from 2000 to 2017 were included. The integrative systematic review framework developed by Whittemore and Knafl (2005) was used to analyse and summarise the key themes.
Of 804 initial screening papers, in total of eight eligible studies (six quantitative and two qualitative) were found. Integrative analysis resulted in four themes as predictors for nurses and midwives' readiness towards SDL: 1) personal characteristics, 2) working environment, 3) online learning and SDLR, and 4) process of SDL. Review found that, although demographic characteristics of nurses and midwives do not influence their SDLR, work environment often influences their SDLR. Furthermore, nurses and midwives have a positive interest in online learning that is often used to improve their knowledge acquisition.
The review concludes that qualified nurses and midwives have a unique SDL predictors and process; hence, a personalized SDL programme should be prescribed based on personality traits so as to achieve better SDL outcomes. Future research should address the facilitating factors for SDLR, barriers to SDLR and strategies to improve SDLR among nurses and more importantly midwives, as limited evidence is available with respect to the latter.
系统评价现有的关于护士和助产士自我导向学习(SDL)准备的预测因素的证据。
医疗保健环境的日益复杂要求护士和助产士通过自我导向学习(SDL)来进行终身学习,以提供优质的医疗保健。关于护理和助产学生的自我导向学习准备(SDLR)有更多的证据,但关于护士和助产士准备 SDL 的预测因素的系统研究则较少。
综合系统评价。
使用以下五个电子数据库进行系统搜索:PubMed、Science Direct、Google Scholar、Ovid Medline 和 Embase。纳入 2000 年至 2017 年发表的英文研究。采用 Whittemore 和 Knafl(2005)开发的综合系统评价框架来分析和总结关键主题。
在 804 篇初步筛选论文中,共发现 8 项符合条件的研究(6 项定量研究和 2 项定性研究)。综合分析得出四个预测护士和助产士 SDL 准备的主题:1)个人特征,2)工作环境,3)在线学习和 SDLR,4)SDL 过程。审查发现,尽管护士和助产士的人口统计学特征并不影响他们的 SDLR,但工作环境常常影响他们的 SDLR。此外,护士和助产士对在线学习有积极的兴趣,这通常用于提高他们的知识获取。
该综述得出结论,合格的护士和助产士具有独特的 SDL 预测因素和过程;因此,应根据个性特征制定个性化的 SDL 计划,以实现更好的 SDL 结果。未来的研究应解决 SDLR 的促进因素、SDLR 的障碍以及提高护士 SDLR 的策略,特别是在后者方面,证据有限。