Nursing staffing and skill mix in nursing homes in Italy: An observational cross-sectional study

被引：0
|
作者：
Marchetti, Daniele [1 ]
Cosmai, Simone [2 ]
Xausa, Pietro [3 ]
Galbiati, Giancarlo [3 ]
Poliani, Andrea [4 ]
Mainardi, Chiara [1 ]
Mancin, Stefano [2 ,5 ]
Solitro, Gianluca [6 ]
机构：
[1] ASST Papa Giovanni XXIII, Piazza OMS 1, I-24127 Bergamo, Italy
[2] Humanitas Univ, Dept Biomed Sci, Via Rita Levi Montalcini 4, I-20072 Pieve Emanuele, Milan, Italy
[3] ASST Bergamo Est, Viale Carlo Maria Martini,1 Seriate, I-24068 Bergamo, Italy
[4] Univ Vita Salute San Raffaele, Fac Med & Surg, Ctr Nursing Res & Innovat, I-20132 Milan, Italy
[5] IRCCS Humanitas Res Hosp, via Manzoni 56, I-20089 Rozzano, Italy
[6] Ordine Profess Infermierist Bergamo, via Pietro Rovelli 45, I-24125 Bergamo, Italy
来源：
GERIATRIC NURSING | 2025年 / 62卷
关键词：
Nursing homes; Nursing staff; Personnel staffing and scheduling; Workforce; Italy; STANDARDS; CARE;
D O I：
10.1016/j.gerinurse.2025.01.009
中图分类号：
R592 [老年病学]; C [社会科学总论];
学科分类号：
03 ; 0303 ; 100203 ;
摘要：
Introduction/Objective: The relationship between staffing levels and skill mix in nursing homes is poorly documented in Italy. This study aimed to investigate nursing staffing levels and skill mix in Northern Italian nursing homes. Methods: A cross-sectional observational study was conducted using a questionnaire sent to several nursing homes. Results: Twenty-three nursing homes participated. Data were collected on organizational models, daily hours of support staff, and daily hours of care per resident, categorized by professional profile. The predominant models were "by sector or modular" and "Team nursing". Daily hours of nursing care were minimal; in most nursing homes, daily hours of support staff exceed those of nurses and healthcare assistants. Total daily hours of care per resident were 2.75, below international and recommended standards. Discussion: Organizational settings can be improved by adjusting staffing, particularly by rebalancing the ratio of nursing to support staff, to improve outcomes and prevent missed care. (c) 2025 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
引用
收藏
页码：48 / 53
页数：6
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