Department of Nursing Science, Physiotherapy and Medicine, University of Almeria, 04120 Almeria, Spain.
Hospital Infanta Elena, Andalusian Health Service, 21080 Huelva, Spain.
Int J Environ Res Public Health. 2020 Feb 15;17(4):1253. doi: 10.3390/ijerph17041253.
The objective of this research was to analyse the quality of life of nursing professionals and its relationship with socio-demographic variables and the work context. A multi-centre, descriptive, cross-sectional design was used. Questionnaires were administered to 1521 nurses working in the Andalusian Public Health System (APHS), Spain. Professional quality of life (ProQOL v. IV) was measured, as well as several socio-demographic and work-related variables. To this end, a descriptive analysis and multiple exploratory analyses were conducted. The levels of compassion fatigue (CF) and burnout (BO) were elevated. The level of compassion satisfaction (CS) was below the estimated mean. Marital status, the healthcare setting, the area where the centre is located, and the work shift are variables associated with CF. According to the multiple linear regression model, the predicting factors for the occurrence of CF were being married, working in primary care, in urban areas, and working a morning/evening/night shift. The variables related to CS were the professional's age, sex, marital status, the healthcare setting of the centre, the location of the centre, and the work shift. Specifically, according to the exploratory model, the factors that predicted a reduction in CS were working in primary care, in urban areas, and working a morning/evening/night shift. However, being divorced increased CS. BO was influenced only by the work shift. Nursing professionals are exposed to certain factors that may influence professional quality of life. Some of these factors are related to the work context.
本研究旨在分析护理专业人员的生活质量及其与社会人口统计学变量和工作环境的关系。采用多中心、描述性、横断面设计。向西班牙安达卢西亚公共卫生系统（APHS）的 1521 名护士发放问卷，调查职业生活质量（ProQOL v. IV）以及若干社会人口统计学和与工作相关的变量。为此，进行了描述性分析和多次探索性分析。同情疲劳（CF）和倦怠（BO）的水平较高。同情满足（CS）的水平低于估计平均值。婚姻状况、医疗保健环境、中心所在地以及工作班次是与 CF 相关的变量。根据多元线性回归模型，发生 CF 的预测因素为已婚、在初级保健机构工作、在城市地区工作和上早班/晚班/夜班。与 CS 相关的变量是专业人员的年龄、性别、婚姻状况、中心的医疗保健环境、中心的位置以及工作班次。具体而言，根据探索性模型，预测 CS 降低的因素是在初级保健机构工作、在城市地区工作和上早班/晚班/夜班。然而，离婚会增加 CS。BO 仅受工作班次影响。护理专业人员面临某些可能影响专业生活质量的因素。其中一些因素与工作环境有关。
