Literature DB >> 31693553

Agent-Based Modeling: A Method for Investigating Challenging Research Problems.

Allen McLean1, Wade McDonald, Donna Goodridge, Nathaniel Osgood.   

Abstract

BACKGROUND: For all our successes, many urgent health problems persist, and although some of these problems may be explored with established research methods, others remain uniquely challenging to investigate-maybe even impossible to study in the real world because of practical and pragmatic obstacles inherent to the nature of the research question.
OBJECTIVES: The purpose of this review article is to introduce agent-based modeling (ABM) and simulation and demonstrate its value and potential as a novel research method applied in nursing science.
METHODS: An introduction to ABM and simulation is described. Examples of current research literature on the subject are provided. A case study example of community nursing and opioid dependence is presented.
RESULTS: The use of ABM and simulation in human health research has increased dramatically over the past decade, and meaningful research is now commonly found published widely in respected, peer-reviewed journals. Absent from this list is innovative ABM and simulation research published by nurse researchers in nursing-specific journals. DISCUSSION: ABM and simulation is a powerful method with tremendous potential in nursing research. It is vital that nursing embrace and adopt innovative and advanced research methods if we are to remain a progressive voice in health research, practice, and policy.

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Mesh:

Year:  2019        PMID: 31693553     DOI: 10.1097/NNR.0000000000000390

Source DB:  PubMed          Journal:  Nurs Res        ISSN: 0029-6562            Impact factor:   2.381


  2 in total

1.  Simulation Modeling as a Novel and Promising Strategy for Improving Success Rates With Research Funding Applications: A Constructive Thought Experiment.

Authors:  Allen McLean; Wade McDonald; Donna Goodridge
Journal:  JMIR Nurs       Date:  2020-07-30

2.  Expected impact of lockdown measures due to COVID-19 on disabling conditions: a modelling study of chronic low back pain.

Authors:  Fabio Galbusera; Pierre Côtè; Stefano Negrini
Journal:  Eur Spine J       Date:  2021-07-27       Impact factor: 3.134

  2 in total

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