Shi Chunhong, Zhang Yinhua, Li Chunyan, Li Pan, Zhu Haili
Nursing Department, XiangNan University, Chenzhou 423000, People's Republic of China.
Nursing Department, Hunan University of Chinese Medicine, Changsha 410208, People's Republic of China.
Risk Manag Healthc Policy. 2020 Jun 4;13:523-537. doi: 10.2147/RMHP.S243929. eCollection 2020.
This study aimed to identify risk factors associated with adverse events in residential aged care facilities in China.
After compiling a list of risk factors for adverse events generated from in-depth interviews with managers of residential aged care facilities, a three-round Delphi method was used to reach consensus. The synthesized risk factors were presented on a Likert scale to the expert panelists three times to validate their responses.
The list identified 67 items as risk factors for adverse events, attached to four first-level indexes (ie, environmental facility, nursing staff, older adults' characteristics, and management factors). The experts' authority coefficient was 0.87. The positive coefficients were 82.76%, 91.67%, and 100%, and the coordination coefficients were 0.154, 0.297, and 0.313 in the first, second, and third rounds, respectively.
Using a Delphi method, this study established a consensus on risk factors contributing to adverse events and developed a risk assessment grade for use in future aged care practice and research. The resulting list is useful in prioritizing risk-reduction activities and assessing intervention or education strategies for preventing adverse events in residential aged care facilities.
This study fills the gap in risk identification in the Chinese residential aged care system to ensure provision of best-practice care to this vulnerable population. Nursing staff and management factors at the top of the list are not only the most common causes of adverse events but also the core elements in creating a secure and error-free environment. This list was intended to support predictive and prevention-oriented decision-making by managers and nursing supervisors to reduce preventable adverse events.
本研究旨在确定中国老年护理机构中与不良事件相关的风险因素。
在汇总通过对老年护理机构管理人员进行深入访谈得出的不良事件风险因素清单后,采用三轮德尔菲法达成共识。将综合后的风险因素以李克特量表的形式向专家小组成员展示三次,以验证他们的回答。
该清单确定了67项作为不良事件的风险因素,隶属于四个一级指标(即环境设施、护理人员、老年人特征和管理因素)。专家权威系数为0.87。第一轮、第二轮和第三轮的积极系数分别为82.76%、91.67%和100%,协调系数分别为0.154、0.297和0.313。
本研究采用德尔菲法就导致不良事件的风险因素达成了共识,并制定了一个风险评估等级,以供未来老年护理实践和研究使用。所得清单有助于确定降低风险活动的优先级,并评估预防老年护理机构不良事件的干预或教育策略。
本研究填补了中国老年护理系统风险识别方面的空白,以确保为这一弱势群体提供最佳护理实践。清单中排在首位的护理人员和管理因素不仅是不良事件最常见的原因,也是营造安全无差错环境的核心要素。这份清单旨在支持管理人员和护理主管进行以预测和预防为导向的决策,以减少可预防的不良事件。