Kuthy James E, Ramon Cheree, Gonzalez Ronald, Biddle Dan A
Biddle Consulting Group, Inc, Folsom, California, USA.
Health Care Manag (Frederick). 2013 Apr-Jun;32(2):189-92. doi: 10.1097/HCM.0b013e31828ef687.
Hiring nurses is a difficult task that can have serious repercussions for medical facilities. If nurses without proper skills are hired, patients can suffer from insufficient quality of care and potentially life-threatening conditions. Nurse applicants' technical knowledge is extremely important to avoid negative outcomes; however, there are soft skills that factor into their success, such as bedside manner, personality, communication, and decision making. In order for medical facilities to select and maintain high-performing nurse staff, hiring managers must incorporate evaluations for these types of skills in their hiring process. The current study focused on using content/criterion-related validation design to create assessments by which nurse applicants can be evaluated for both technical knowledge/skills and soft skills. The study included participation of more than 876 nursing staff members. To rank applicants on divergent skills, 3 assessment types were investigated, resulting in the creation of an assessment with 3 components. The clinical, situational, and behavioral components that were created measure applicants' job knowledge, interpersonal competency in medical facility-related situations, and aspects of personality and behavior, respectively. Results indicate that using the assessment can predict 45% of a nurse applicant's future job performance. Practical implications include hiring and maintaining a higher quality of nurses and decreased hiring costs.
招聘护士是一项艰巨的任务,可能会对医疗机构产生严重影响。如果雇佣了没有适当技能的护士,患者可能会面临护理质量不足以及潜在的危及生命的状况。护士求职者的专业知识对于避免负面结果极为重要;然而,还有一些软技能也会影响他们的成功,比如护理态度、个性、沟通能力和决策能力。为了让医疗机构选拔并留住高效能的护士团队,招聘经理必须在招聘过程中纳入对这些技能类型的评估。当前的研究聚焦于使用与内容/标准相关的验证设计来创建评估方法,通过这些方法可以对护士求职者的专业知识/技能和软技能进行评估。该研究有超过876名护理人员参与。为了对求职者的不同技能进行排名,研究了三种评估类型,最终创建了一个包含三个组成部分的评估。所创建的临床、情境和行为组成部分分别衡量求职者的工作知识、在医疗机构相关情境中的人际能力以及个性和行为方面。结果表明,使用该评估可以预测护士求职者未来45%的工作表现。实际影响包括招聘和留住更高质量的护士以及降低招聘成本。