Literature DB >> 31696791

Using system dynamics modelling to show the effect of nurse workload on nurses' health and quality of care.

Mashal Farid1, Nancy Purdy2, W Patrick Neumann1.   

Abstract

The objective of the current study is to explore System Dynamics modelling to quantify and understand the effects of nursing workload on nurse burnout, absenteeism, and quality of patient care. A literature search was performed to identify the causal relationships between factors related to the problem and build a conceptual causal loop diagram. Each of these factors was then operationalised and a simulation model was built using quantitative empirical data from the literature, supplemented with expert input. The model results showed that long nurse shifts and work weeks double nurse fatigue levels, while increasing burnout by up to 6 times, absenteeism by up to 5 times, and medical errors for the patients increasing by up to 150%. The study demonstrates a novel application of System Dynamics in healthcare to examine the impact of management strategies and healthcare system design on nurses' wellbeing and on care quality. Practitioner summary: System Dynamics Modelling allows for the integration of available scientific evidence and expertise to reveal the relationship between nurse workload, burnout and care quality in terms of medical errors. Such models can reveal possible responses from proposed policy or system design changes that could not be quantified with conventional approaches. Abbreviations: HF: human factors; SD: system dynamics; CLD: causal loop diagram; OFAT: one factor at a time.

Entities:  

Keywords:  Simulation; healthcare ergonomics; human factors; macroergonomics; psychosocial factors; sociotechnical systems

Mesh:

Year:  2019        PMID: 31696791     DOI: 10.1080/00140139.2019.1690674

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  6 in total

Review 1.  Data Science Trends Relevant to Nursing Practice: A Rapid Review of the 2020 Literature.

Authors:  Brian J Douthit; Rachel L Walden; Kenrick Cato; Cynthia P Coviak; Christopher Cruz; Fabio D'Agostino; Thompson Forbes; Grace Gao; Theresa A Kapetanovic; Mikyoung A Lee; Lisiane Pruinelli; Mary A Schultz; Ann Wieben; Alvin D Jeffery
Journal:  Appl Clin Inform       Date:  2022-02-09       Impact factor: 2.342

2.  The effects of ergonomic intervention on the musculoskeletal complaints and fatigue experienced by workers in the traditional metal casting industry.

Authors:  Wahyu Susihono; I Putu Gede Adiatmika
Journal:  Heliyon       Date:  2021-02-02

3.  Effects of mobile-based mindfulness meditation for mental health of nurses: a protocol for systematic review and meta-analysis.

Authors:  Bin Chen; Ting Yang; Lin Tao; Yuqing Song; Ying Liu; Yan Wang; Lei Xiao; Changxia Xu; Hong Chen
Journal:  BMJ Open       Date:  2022-04-22       Impact factor: 3.006

Review 4.  A deep learning based multimodal interaction system for bed ridden and immobile hospital admitted patients: design, development and evaluation.

Authors:  Muhammad Nazrul Islam; Md Shadman Aadeeb; Md Mahadi Hassan Munna; Md Raqibur Rahman
Journal:  BMC Health Serv Res       Date:  2022-06-21       Impact factor: 2.908

5.  Intention to leave Nursing during the COVID-19 pandemic.

Authors:  Luciane Prado Kantorski; Michele Mandagará de Oliveira; Poliana Farias Alves; Carlos Alberto Dos Santos Treichel; Carla Gabriela Wünsch; Luiza Hences Dos Santos; Guilherme Emanuel Weiss Pinheiro
Journal:  Rev Lat Am Enfermagem       Date:  2022

6.  Perception of the image of the nursing profession and its relationship with quality of care.

Authors:  Keren Grinberg; Yael Sela
Journal:  BMC Nurs       Date:  2022-03-10
  6 in total

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