Abstract：
OBJECTIVE: Our study aims to explore nurses\' shift preferences in relation to their personal characteristics and examine how these preferences align with the rosters imposed in Belgian healthcare settings. Additionally, the study seeks to identify patterns in shift preferences across different days of the week and investigate the existence of distinct groups of nurses with similar preferences, further examining the link between these groups and their personal characteristics.
METHODS: Cross-sectional.
METHODS: Questionnaires were distributed to 778 nurses across 11 general hospitals in Belgium, collecting data on demographics, chronotype, shift preferences, and roster alignment. Statistical analyses included logistic regression, principal component analysis, and k-means clustering.
RESULTS: Age and chronotype significantly influence nurses\' shift preferences. Preferences were consistent across the days within the week. The study revealed two groups of preferences: \'early birds\' (preferring morning/day shifts) and \'night owls\' (preferring evening/night shifts). Night owls were often neutral or evening-type chronotypes and had a higher alignment between imposed and ideal rosters.
CONCLUSIONS: This study reinforces the importance of considering individual differences in nurses\' shift preferences, linked to age and chronotype, and advocates for the adoption of flexible, personalized rostering systems.
CONCLUSIONS: Personalized scheduling has the potential to improve workforce management, suggesting that healthcare administrators should consider individual preferences in rostering to mitigate the challenges of nurse understaffing.
CONCLUSIONS: Tackles the pressing problem of nurse understaffing. Proposes that tailored rosters based on individual preferences could improve work conditions for nurses. Relevant to policymakers aiming to enhance nursing workforce management.
UNASSIGNED: STROBE Statement (for cross-sectional studies).
UNASSIGNED: None.
METHODS: Cross-sectional.
METHODS: Questionnaires were distributed to 778 nurses across 11 general hospitals in Belgium, collecting data on demographics, chronotype, shift preferences, and roster alignment. Statistical analyses included logistic regression, principal component analysis, and k-means clustering.
RESULTS: Age and chronotype significantly influence nurses\' shift preferences. Preferences were consistent across the days within the week. The study revealed two groups of preferences: \'early birds\' (preferring morning/day shifts) and \'night owls\' (preferring evening/night shifts). Night owls were often neutral or evening-type chronotypes and had a higher alignment between imposed and ideal rosters.
CONCLUSIONS: This study reinforces the importance of considering individual differences in nurses\' shift preferences, linked to age and chronotype, and advocates for the adoption of flexible, personalized rostering systems.
CONCLUSIONS: Personalized scheduling has the potential to improve workforce management, suggesting that healthcare administrators should consider individual preferences in rostering to mitigate the challenges of nurse understaffing.
CONCLUSIONS: Tackles the pressing problem of nurse understaffing. Proposes that tailored rosters based on individual preferences could improve work conditions for nurses. Relevant to policymakers aiming to enhance nursing workforce management.
UNASSIGNED: STROBE Statement (for cross-sectional studies).
UNASSIGNED: None.
摘要：
目的：我们的研究旨在探讨护士的转变偏好与其个人特征的关系，并研究这些偏好如何与比利时医疗机构的名册相一致。此外,该研究旨在识别每周不同日期的轮班偏好模式，并调查具有相似偏好的不同护士群体的存在。进一步研究这些群体和他们的个人特征之间的联系。
方法：横断面。
方法：问卷分发给比利时11所综合医院的778名护士，收集人口统计数据，时间型,换档偏好，和名册对齐。统计分析包括逻辑回归，主成分分析，和k均值聚类。
结果：年龄和时间型显著影响护士的轮班偏好。一周内的几天的偏好是一致的。该研究揭示了两组偏好：\'早起的鸟\'（更喜欢早班/日班）和\'夜猫子\'（更喜欢晚上/夜班）。夜猫子通常是中性或傍晚型的时间型，并且在强加和理想的名册之间具有更高的一致性。
结论：这项研究加强了考虑护士转变偏好的个体差异的重要性，与年龄和时间类型有关，并主张采用灵活的，个性化的花名册系统。
结论：个性化安排有可能改善劳动力管理，建议医疗管理人员应在名册中考虑个人偏好，以减轻护士人员不足的挑战。
结论：解决了护士人员不足的紧迫问题。建议根据个人喜好量身定制的名册可以改善护士的工作条件。与旨在加强护理人员管理的政策制定者有关。
■STROBE声明（用于横断面研究）。
■无。
方法：横断面。
方法：问卷分发给比利时11所综合医院的778名护士，收集人口统计数据，时间型,换档偏好，和名册对齐。统计分析包括逻辑回归，主成分分析，和k均值聚类。
结果：年龄和时间型显著影响护士的轮班偏好。一周内的几天的偏好是一致的。该研究揭示了两组偏好：\'早起的鸟\'（更喜欢早班/日班）和\'夜猫子\'（更喜欢晚上/夜班）。夜猫子通常是中性或傍晚型的时间型，并且在强加和理想的名册之间具有更高的一致性。
结论：这项研究加强了考虑护士转变偏好的个体差异的重要性，与年龄和时间类型有关，并主张采用灵活的，个性化的花名册系统。
结论：个性化安排有可能改善劳动力管理，建议医疗管理人员应在名册中考虑个人偏好，以减轻护士人员不足的挑战。
结论：解决了护士人员不足的紧迫问题。建议根据个人喜好量身定制的名册可以改善护士的工作条件。与旨在加强护理人员管理的政策制定者有关。
■STROBE声明（用于横断面研究）。
■无。
