Predictors of Clinical Performance of Staff Nurses and Student Nurses: A Meta-Analysis Study Bianca Adap, April Santiago, Enri Tuparan, Beryl Ben Mergal
https://doi.org/10.35974/isc.v5i1.1426
Keywords:
Clinical performance, meta-analysis, staff nursesAbstract
Health personnel in terms of clinical performance are one of the major constraints in achieving the millennium development goals of the WHO to reduce diseases and poverty. Hence, the study was conducted to determine the factors that may hinder or advance the quality performance of nurses in the clinical setting. The purpose of this study is to identify the predictors of clinical performance of staff nurses and student nurses based on recent studies done in Southeast Asia. This study utilized the meta-analysis design using two databases namely EBSCO and Google scholar, to retrieve previous studies about the predictors of clinical performance from 2000-2016. Through extensive research, this study found 14 similar studies that predicted the clinical performance of both student and staff nurses. Out of the 14 research papers, 7 predictors of clinical performance was found such as Emotional Intelligence (5 articles), stress (4 articles), social support (2 articles), self-efficacy (1 article), self-concept (2 article), academic performance (2 article), and personal characteristics (1 article). This literature revealed that emotional intelligence, social support, self-efficacy, self-concept, academic performance and personal characteristics have a significant positive relationship with clinical performance, while stress demonstrated a negative significant relationship with clinical performance of both staff and student nurses. There have only been several studies that talked about the predictors of clinical performance, hence, this subject area needs to be given further attention and further research is suggested.
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