Level 3, Edmonton Clinic Health Academy, Faculty of Nursing, University of Alberta, 11405 87 Avenue, Edmonton, T6G 1C9, Canada.
Department of Applied Human Sciences, University of Prince Edward Island, 550 University Ave, Charlottetown, PE, C1A 4N3, Canada.
Hum Resour Health. 2019 Jul 5;17(1):49. doi: 10.1186/s12960-019-0381-5.
Early retirement (before age 65) is the norm among registered nurses (RNs) and allied health professionals (AHPs) employed in Canada's public system. As a country whose population is rapidly aging, it is in Canada's best interest to try and extend the work lives of RNs and AHPs.
(1) To test the predictive validity of our conceptual model of early retirement among publicly employed, Canadian RNs and AHPs and (2) to compare, across professions, model fit and factor significance METHODS: We conducted multivariable logistic regression in two data sets, one consisting of 483 retired RNs and the other of 177 retired AHPs. The number of AHP respondents limited our ability to comprehensively test the model.
Eighty-five percent of RNs and 77% of AHPs had retired early. (1) Results indicate that 25% of variance in RN early retirement and 19% of variance in AHP early retirement was explained by included variables. (2) Organizational restructuring increased odds of early retirement by more than 100% among RNs and AHPs. Among RNs (but not AHPs), both financial possibility and caregiving responsibilities predicted early retirement at statistically significant levels, while a "desire to stop working" predicted retirement at or after 65 years of age.
Clearly, there is much more to learn about RN and AHP pathways to early retirement. Further research, ideally research exploring the role of workplace characteristics, attitudes, and beliefs towards retirement and work-related factors, could deepen our understanding of the phenomenon of RN/AHP early retirement.
在加拿大公共系统中,注册护士(RN)和专职医疗人员(AHP)的退休年龄通常为 65 岁之前。由于加拿大人口老龄化速度较快,尽力延长 RN 和 AHP 的工作寿命符合加拿大的最大利益。
(1)检验我们关于加拿大公共部门雇佣的 RN 和 AHP 提前退休的概念模型的预测有效性,(2)比较不同专业的模型拟合度和因子显著性。
我们在两个数据集(一个包含 483 名退休的 RN,另一个包含 177 名退休的 AHP)中进行了多变量逻辑回归。由于 AHP 的受访者数量有限,我们无法全面测试该模型。
85%的 RN 和 77%的 AHP 提前退休。(1)结果表明,RN 提前退休的 25%和 AHP 提前退休的 19%的方差可以由包含的变量解释。(2)组织重构使 RN 和 AHP 提前退休的可能性增加了 100%以上。在 RN 中(但不在 AHP 中),经济可能性和照顾责任均以统计学显著水平预测提前退休,而“停止工作的愿望”则预测在 65 岁或以上退休。
显然,我们还需要更多地了解 RN 和 AHP 提前退休的途径。进一步的研究,理想情况下是研究探索工作场所特征、对退休和与工作相关因素的态度和信念的作用,可以加深我们对 RN/AHP 提前退休现象的理解。