University of Pennsylvania, Philadelphia, PA, USA.
University of California, San Francisco, CA, USA.
Med Care Res Rev. 2022 Jun;79(3):382-393. doi: 10.1177/10775587211034310. Epub 2021 Jul 26.
Despite considerable research on nursing turnover, few studies have considered turnover among nurses working in home health care. Using novel administrative data from one of the largest home health care organizations in the United States, this study examined turnover among home health nurses, focusing on the role of schedule volatility. We estimated separation rates among full-time and part-time registered nurses and licensed practical nurses and used daily visit logs to estimate schedule volatility, which was defined as the coefficient of variation of the number of daily visits in the prior four weeks. Between 2016 and 2019, the average annual separation rate of home health nurses was over 30%, with most separations occurring voluntarily. Schedule volatility and turnover were positively associated for full-time nurses, but not for part-time nurses. These results suggest that reducing schedule volatility for full-time nurses could mitigate nursing turnover in home health care.
尽管针对护理人员离职的研究已经很多,但很少有研究关注在家庭保健护理中工作的护士的离职情况。本研究利用来自美国最大的家庭保健护理机构之一的新颖行政数据,考察了家庭保健护士的离职情况,重点关注排班不稳定性的作用。我们估计了全职和兼职注册护士和持照实习护士的离职率,并使用每日探访记录来估计排班不稳定性,其定义为前四周每日探访次数的变异系数。在 2016 年至 2019 年间,家庭保健护士的年平均离职率超过 30%,大多数离职是自愿的。对于全职护士来说,排班不稳定性与离职呈正相关,但对于兼职护士则不然。这些结果表明,减少全职护士的排班不稳定性可能有助于减轻家庭保健护理中的护理人员离职情况。