Background: Several instruments have been developed to measure nursing workload. The commonly used Nursing Activities Score (NAS) and Therapeutic Intervention Scoring System (TISS) are applied to all types of ICU patients. Former research showed that NAS explained 59 to 81% of actual nursing time, whereas the Therapeutic Intervention Scoring System (TISS) described only 43% of the actual nursing time. In both models the development was not based on time measurements.
Objectives: The aim of this study was to develop a time-based model which can assess patient related nursing workload more accurately and to evaluate whether patient characteristics influence nursing time and therefore should be included in the model.
Design: Observational study design.
Setting: All 82 Dutch ICUs participate in the National Intensive Care Evaluation (NICE) quality registry. Fifteen of these ICUs are participating in the newly implemented voluntary nursing capacity module. Seven of these ICUs voluntarily participated in this study.
Participants: The patient(s) that were under the responsibility of a chosen nurse were followed by the observer during the entire shift.
Methods: Time spent per nursing activity per patient was measured in different shifts in seven Dutch ICUs. Nursing activities were measured using an in-house developed web application. Three different models of varying complexity (1. nursing activities only; 2. nursing activities and case-mix correction; 3. complex model with case-mix correction per nursing activity) were developed to explain the total amount of nursing time per patient. The performance of the three models was assessed in 1000 bootstrap samples using the squared Pearson correlation coefficient (R), Root Mean Squared Prediction Error (RMSPE), Mean Absolute Prediction Error (MAPE), and prediction bias.
Results: In total 287 unique patients have been observed in 371 shifts. Model one's Pearson's R was 0.89 (95%CI 0.86-0.92), model two with case-mix correction 0.90 (95%CI 0.88-0.93), and the third complex model 0.64 (95%CI 0.56-0.72) compared with the actual patient related nursing workload.
Conclusion: The newly developed Nurse Operation Workload (NOW) model outperforms existing models in measuring nursing workload, while it includes a lower number of activities and therewith lowers the registration burden. Case-mix correction does not further improve the performance of this model. The patient related nursing workload measured by the NOW gives insight in the actual nursing time needed by patients and can therefore be used to evaluate the average workload per patient per nurse.
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http://dx.doi.org/10.1016/j.ijnurstu.2020.103780 | DOI Listing |
Int Nurs Rev
March 2025
Department of Nursing, Faculty of Health Sciences, Halic University, Istanbul, Turkey.
Aim: To systematically explore the existing literature by examining nursing approaches to home chemotherapy treatment.
Background: With the rising number of patients with cancer, home chemotherapy has gained prominence. Nurses play a crucial role in this process and bear significant responsibilities.
Nurs Crit Care
January 2025
Nursing & Midwifery School, Zanjan University of Medical Sciences, Zanjan, Iran.
Background: The safety of patients in the intensive care unit (ICU) is significantly impacted by inadequate staffing of nursing professionals to meet the demand for care of critically ill patients. COVID-19 patients increased nurses' workload, particularly in high-intensity care settings like the ICU.
Aim: To evaluate the association of workload and number of patients per nursing professional with the occurrence of adverse events and death in critically ill patients with COVID-19 in the ICU.
Aim: The objectives of this study were to determine the prevalence of burnout risk and intention-to-leave among intensive care unit (ICU) nurses and analyse the association of these with workload and work environment.
Design: A cross-sectional survey of nurses working in ICUs was conducted in France between 15 January 2024 and 15 April 2024 alongside a longitudinal assessment of workload during the same period.
Methods: ICU nurse workload was assessed using the Nursing Activities Score (NAS).
Clin Interv Aging
January 2025
Department of Nursing, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, People's Republic of China.
Purpose: This study aims to identify self-management behavior profiles in multimorbid patients, and explore how workload, capacity, and their interactions influence these profiles.
Patients And Methods: A sequential explanatory mixed-methods design was employed. In the quantitative phase (August 2022 to May 2023), data were collected from 1,920 multimorbid patients across nine healthcare facilities in Zhejiang Province.
BMJ Open
December 2024
Department of Nursing Management, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania, United Republic of.
Background: Burnout among healthcare providers affects their well-being and quality of care. Despite its importance, limited data exist on burnout among primary healthcare providers in Tanzania.
Objectives: To determine the prevalence of burnout and associated factors among healthcare providers in Kasulu district, Kigoma region, 2024.
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