Developing a modelling approach to quantify quality of care and nurse workload — Field validation study

Qureshi, Sadeem Munawar; Purdy, Nancy; Neumann, Patrick

doi:10.1016/j.orhc.2021.100301

Cited by 13 publications

(20 citation statements)

References 55 publications

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“…To validate the model, a step counter test was used [ 14 ]. This test compared the modelling outcome “cumulative distance walked” with the real-world outcome “total distance walked”.…”

Section: Methodsmentioning

confidence: 99%

“…Subsequently, 71% of nurses have faced burnout at least once in their career [ 9 ], and the healthcare sector ranked number one in lost-time injuries, including work-related musculoskeletal disorders (MSD) [ 10 , 11 ]. The COVID-19 pandemic has brought immense pressure to an already overworked healthcare professional (HCP) workforce [ 12 – 14 ]. Due to the COVID-19 pandemic, HCPs now have a significantly increased workload, which includes increased infection prevention and control (IPAC) routines [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

“…The added routines of the pandemic, such as additional IPAC routines, and increased care duties due to increased patient acuity, further contributes to the overload and excess fatigue. While quantifying nurse workload is notoriously difficult due to the complexity of these systems, newer applications of nurse-focused computerized process simulation of nursing work have shown promise in this area [ 14 , 18 ]. Several studies have measured HCP workload during the COVID-19 pandemic [ 19 – 22 ].…”

Section: Introductionmentioning

confidence: 99%

“…Using this approach, they quantified the impact of nurse-patient ratio, patient acuity and geographical patient bed-assignment on nurse workload and quality of care indicators [ 18 , 32 , 33 ]. Qureshi and colleagues [ 14 ] adapted this modelling approach to a medical-surgical unit where it produced highly valid data when compared to actual care delivery data. This study extends this modelling approach by adapting this into the context of the COVID-19 pandemic.…”

Section: Introductionmentioning

confidence: 99%

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Modelling the impacts of COVID-19 on nurse workload and quality of care using process simulation

Qureshi

Bookey-Bassett²,

Purdy³

et al. 2022

PLoS ONE

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Higher acuity levels in COVID-19 patients and increased infection prevention and control routines have increased the work demands on nurses. To understand and quantify these changes, discrete event simulation (DES) was used to quantify the effects of varying the number of COVID-19 patient assignments on nurse workload and quality of care. Model testing was based on the usual nurse-patient ratio of 1:5 while varying the number of COVID-19 positive patients from 0 to 5. The model was validated by comparing outcomes to a step counter field study test with eight nurses. The DES model showed that nurse workload increased, and the quality of care deteriorated as nurses were assigned more COVID-19 positive patients. With five COVID-19 positive patients, the most demanding condition, the simulant-nurse donned and doffed personal protective equipment (PPE) 106 times a shift, totaling 6.1 hours. Direct care time was reduced to 3.4 hours (-64% change from baseline pre-pandemic case). In addition, nurses walked 10.5km (+46% increase from base pre-pandemic conditions) per shift while 75 care tasks (+242%), on average, were in the task queue. This contributed to 143 missed care tasks (+353% increase from base pre-pandemic conditions), equivalent to 9.6 hours (+311%) of missed care time and care task waiting time increased to 1.2 hours (+70%), in comparison to baseline (pre-pandemic) conditions. This process simulation approach may be used as potential decision support tools in the design and management of hospitals in-patient care settings, including pandemic planning scenarios.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modelling the impacts of COVID-19 on nurse workload and quality of care using process simulation

Qureshi

Bookey-Bassett²,

Purdy³

et al. 2022

PLoS ONE

Self Cite

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“…Un modèle théorique permet d'orienter les efforts des parties prenantes pour définir et opérationnaliser les mesures de la performance sensibles aux soins infirmiers (Dubois, D'Amour, Pomey, et al, 2013). De nombreux modèles théoriques de la performance des services infirmiers ont été développés (Barchielli et al, 2022;Biron et al, 2012;Boyle & Baernholdt, 2021;Dubois, D'Amour, Pomey, et al;Qureshi et al, 2021;Schwirian, 1981;Unruh & Wan, 2004). Ces auteur•trices proposent des définitions variées de la performance de services infirmiers.…”

Section: Sélection Du Modèle Théorique De La Performance Des Services...unclassified

Méthode d’opérationnalisation de mesures de la performance sensibles aux soins infirmiers basées sur des données de routine

Rapin

Santos

Pouzols

et al. 2022

Science of Nursing and Health Practices

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Introduction: The operationalization of nursing-sensitive performance measures has been highly variable. It results in measures that are sometimes suboptimal and difficult for managers and nurses to access. The objective is to propose a rigorous method for operationalizing nurse-sensitive performance measures based on routine data. Source of Information: The primary source of information for this article is an operationalization method adapted from a reporting guide and performance measure evaluation instrument. It includes 7 processes and 33 interrelated quality attributes. The application of this operationalization method was successfully tested in a university hospital. Discussion: Operationalization of nursing-sensitive performance measures is a complex process. This method is an original proposal that allows for the justification and argumentation of the choices made. We discuss how this method is a response to 3 methodological issues: (1) heterogeneous and poorly detailed operationalization methods; (2) critical attributes (e.g., relevance, scientific validity, feasibility) that lack consensus and (3) heterogeneous data architecture models. Implication and conclusion: This operationalization method provides a systematic and transparent approach to generating nursing-sensitive performance measures from routine data. It could improve their operationalization, facilitate their understanding and evaluation.

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Simulation-Based Approaches to Enhance Operational Decision-Support in Healthcare 5.0: A Systematic Literature Review

Chidozie,

Ramos,

Ferreira

2023

Lecture Notes in Mechanical Engineering

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Developing a modelling approach to quantify quality of care and nurse workload — Field validation study

Cited by 13 publications

References 55 publications

Modelling the impacts of COVID-19 on nurse workload and quality of care using process simulation

Modelling the impacts of COVID-19 on nurse workload and quality of care using process simulation

Méthode d’opérationnalisation de mesures de la performance sensibles aux soins infirmiers basées sur des données de routine

Simulation-Based Approaches to Enhance Operational Decision-Support in Healthcare 5.0: A Systematic Literature Review

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