P16 | Real calculation of nursing activity expenditure and factors correlated with per-patient nursing over-activities in an Internal Medicine department
Year: 2025
Type: article
Study design: Observational Study
Abstract: Premises and Aims of the study: Adequate nursing care can be decisive for the outcome of a patient admitted to any department. Prediction of nursing activity at the time of a patient’s admission could improve the organization. This study aimed to assess the standardized nursing requirements of patients admitted to a medical setting and to identify factors that correlate with high demands.Materials and Methods: This study enrolled patients admitted to Internal Medicine ward at the Altovicentino Hospital between September and December 2022. Nursing activities were recorded for the first three days of hospitalisation and standardised as performance/5 minutes/patient. Patients requiring more than the 75th percentile of performance/5 minutes/patient were considered nursing over-activities.Results: This study enrolled 333 patients. Their mean Charlson Comorbidity Index, Clinical Frailty Scale, Barthel Index, and Sistema Informtativo della Performance Infermieristica scores were 5.3, 4.2, 62.4, and 53.7, respectively. Mean National Early Warning System (NEWS) on admission was 3.7 (2.9). A median of 73 (54–109) nursing care activities/5 minutes/patient were performed. NEWS score (OR: 1.372, 95%CI: 1.216–1.547, p <0.001) and Barthel Index (OR: 0.983, 95%CI: 0.967–0.999, p=0.041) were independent risk factors for nursing over-activities.Conclusions: NEWS and the Barthel Index could help reorganise nursing resources within Internal Medicine wards, allowing for an equal distribution between patients.
Source: Italian Journal of Medicine
Authors: Vo Van Kha, Tran Thi Huong Ly, Pham Thi Thanh Hoa, Vo Huynh Nhu, Damas Hendriansyah, Nusratuddin Abdullah, Rudy B. Leonardy, Mardiah Tahir, Samrichard Rambulangi, Firdaus Hamid, Filomena Pietrantonio, Vera Kopsaj, Francesco Rosiello, Aurora Tomassoni, Luca Moriconi, Donatella Padua, Kiki Rizki Amelia, Efendi Lukas, Nurbani Bangsawan, Isharyah Sunarno, Retno Budiarti Farid, Sriwijaya Qadar, Rabab H. Elshaikh, Ashok Kumar Sah, Abdelrahman Mohamed Abukanna, Abdulrahman Algarni, Ammar Abdelmola, Hussam Ali Osman, Tagwa Yousif Elsayed Yousif, Elryah I. Ali, Hiba Ali, Ayman Hussein Alfeel, Thanh Long Nguyen, Victor Storm, Lam Toi Phung, Cong Thien Le, Thi Thu Ha Le, Thi Hoa Nguyen, Son Tung Vu, Thien Thang Tran, Minh Hanh Vu, Van Tuan Nguyen, Francesco Ventrella, Anna Belfiore, Antonio Greco, Franco Mastroianni, Salvatore Lenti, Domenico Ruggiero, Michele Cannone, Vincenzo Ostilio Palmieri, Massimo Errico, Giuseppe Mancia, Guido Grassi, Sverre E. Kjeldsen
Language: English
Subfield: Research and Theory
Field: Nursing
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4413795283