Nursing opinion leadership: a preliminary model derived from philosophic theories of rational belief

Anderson, Charles M.; Whall, Ann L.

doi:10.1111/nup.12008

Cited by 5 publications

(15 citation statements)

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“…The development of the preliminary model is described in detail elsewhere [12,13]; however, a basic overview is provided here for clarity related to the process of ABM development. The preliminary model of NOL is a normative (rather than empirical) model of nursing opinion leadership derived from philosophic theories about belief formation [12,13].…”

Section: Methodsmentioning

confidence: 99%

“…The preliminary model of NOL is a normative (rather than empirical) model of nursing opinion leadership derived from philosophic theories about belief formation [12,13]. Two source theories, Bayesian epistemology as described by Joyce [14-16] and Kitcher’s Organization of Cognitive Labor [17] were selected because they examine the basis for opinion formation in individuals (Joyce) and groups (Kitcher).…”

Section: Methodsmentioning

confidence: 99%

“…The model also addresses contextual factors that contribute to the emergence of nurse opinion leaders within the community over time. These factors include the size of the group, the degree of uncertainty among individual group members regarding evidence, and the availability of motivated and credible individuals who can act as NOL [13]. For example, if a new method for preventing patient falls is introduced on a patient care unit, individual nurses may evaluate the practice and adopt it.…”

Section: Methodsmentioning

confidence: 99%

“…If the assessment does not meet the threshold for revising belief, the new belief remains the same as the prior belief. Aggregate of individual belief revision changes the overall community context in terms of consensus belief. a Derived from Joyce [14-16] and Kitcher [17] as described in Anderson and Whall [13]. …”

Section: Methodsmentioning

confidence: 99%

“…Phase 1, the development of the preliminary NOL model, is described in detail elsewhere [12,13] with a brief overview provided herein. The focus of this paper is to describe the details of the design (phase 2) and verification testing (phase 3) of the NOL-ABM model.

Figure 1 Flow chart of study methods.…”

Section: Introductionmentioning

confidence: 99%

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Development and verification of an agent-based model of opinion leadership

Anderson

Titler

2014

Implementation Sci

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BackgroundThe use of opinion leaders is a strategy used to speed the process of translating research into practice. Much is still unknown about opinion leader attributes and activities and the context in which they are most effective. Agent-based modeling is a methodological tool that enables demonstration of the interactive and dynamic effects of individuals and their behaviors on other individuals in the environment. The purpose of this study was to develop and test an agent-based model of opinion leadership. The details of the design and verification of the model are presented.MethodsThe agent-based model was developed by using a software development platform to translate an underlying conceptual model of opinion leadership into a computer model. Individual agent attributes (for example, motives and credibility) and behaviors (seeking or providing an opinion) were specified as variables in the model in the context of a fictitious patient care unit. The verification process was designed to test whether or not the agent-based model was capable of reproducing the conditions of the preliminary conceptual model. The verification methods included iterative programmatic testing (‘debugging’) and exploratory analysis of simulated data obtained from execution of the model. The simulation tests included a parameter sweep, in which the model input variables were adjusted systematically followed by an individual time series experiment.ResultsStatistical analysis of model output for the 288 possible simulation scenarios in the parameter sweep revealed that the agent-based model was performing, consistent with the posited relationships in the underlying model. Nurse opinion leaders act on the strength of their beliefs and as a result, become an opinion resource for their uncertain colleagues, depending on their perceived credibility. Over time, some nurses consistently act as this type of resource and have the potential to emerge as opinion leaders in a context where uncertainty exists.ConclusionsThe development and testing of agent-based models is an iterative process. The opinion leader model presented here provides a basic structure for continued model development, ongoing verification, and the establishment of validation procedures, including empirical data collection.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Figure 1 Flow chart of study methods.…”

Section: Introductionmentioning

confidence: 99%

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Development and verification of an agent-based model of opinion leadership

Anderson

Titler

2014

Implementation Sci

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Agent-based computational models to explore diffusion of medical innovations among cardiologists

Borracci

Giorgi

2018

International Journal of Medical Informatics

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Impact of TeamSTEPPS Training With Rural Hospital Staff

Prochnow

Tschannen²

2021

Journal of Nursing Care Quality

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Background: Teamwork and communication are critical components to patient safety and reducing clinical errors. TeamSTEPPS is a successful team-training program evaluated by many health care settings; however, there are limited data on its use in small, rural hospitals. Local Problem: A large health care system purchased a small, rural hospital with the goal to improve patient care by creating a team-based culture and a financially stable organization. Methods: This quality improvement project used a pre-/postdesign to evaluate the staff's knowledge, application, and attitudes toward team skills and behaviors. Intervention: The intervention was a customized TeamSTEPPS training program delivered to an interprofessional team at a small rural hospital. Results: The interprofessional staff demonstrated improved attitudes toward team behaviors and incorporated the tools into their practice. Conclusions: TeamSTEPPS is an effective program for training a variety of health care disciplines.

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Nursing opinion leadership: a preliminary model derived from philosophic theories of rational belief

Cited by 5 publications

References 10 publications

Development and verification of an agent-based model of opinion leadership

Development and verification of an agent-based model of opinion leadership

Agent-based computational models to explore diffusion of medical innovations among cardiologists

Impact of TeamSTEPPS Training With Rural Hospital Staff

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