Hewko Sarah J
Department of Applied Human Sciences, Faculty of Science, University of Prince Edward Island, Charlottetown, PE, Canada.
Health Serv Insights. 2022 Feb 23;15:11786329221080039. doi: 10.1177/11786329221080039. eCollection 2022.
Individual innovativeness is particularly indispensable among health professionals. The healthcare environment is complex and its knowledge workers must continually adapt to change and be comfortable with ambiguity. The objective of this study was to determine the relative importance of individual, job-specific, and organizational factors on innovative output of health professionals. Employed Canadian Registered Dietitians (n = 237) completed an online survey incorporating relevant validated tools, including the 10-item Big Five Inventory and the Alberta Context Tool. Factors were classified by level and introduced in blocks to a multivariate linear regression model, with the outcome of self-reported innovative output. Factors included in the model explained 44% of variation in self-reported innovative output. Although all blocks contributed significantly to the model, minimal variation was explained by factors at the job-specific (4%) and organizational levels (4%). Factors at the individual level most predictive of innovative output were role innovation, the personality trait of conscientiousness and voluntary membership in a professional association. To encourage employee innovativeness, health administrators, and managers of health professionals should consider how best to incorporate screens for individual-level indicators of innovative output (eg, personality tests) in their institutional hiring and selection processes.
个体创新性在卫生专业人员中尤为不可或缺。医疗保健环境复杂,其知识型员工必须不断适应变化并能坦然面对不确定性。本研究的目的是确定个体、特定工作和组织因素对卫生专业人员创新产出的相对重要性。受雇的加拿大注册营养师(n = 237)完成了一项在线调查,该调查纳入了相关的经过验证的工具,包括10项大五人格量表和艾伯塔情境工具。因素按层次分类,并分块引入多元线性回归模型,以自我报告的创新产出为结果。模型中包含的因素解释了自我报告创新产出中44%的变异。虽然所有块对模型都有显著贡献,但特定工作层面(4%)和组织层面(4%)的因素解释的变异最小。最能预测创新产出的个体层面因素是角色创新、尽责性人格特质以及专业协会的自愿会员身份。为鼓励员工创新,卫生管理人员和卫生专业人员的管理者应考虑如何在机构招聘和选拔过程中最好地纳入对创新产出个体层面指标的筛选(例如,人格测试)。