A Comparative Analysis of Nursing Practice Models Using the VIKOR Method

This study evaluated various nursing practice models Using the VIKOR A multicriterion decision-making (MCDM) approach is a systematic method used to evaluate and rank alternatives based on multiple, often conflicting, criteria to support effective decision-making assess their effectiveness on four key dimensions: self-efficacy (SE), outcome expectancy (OE), evidence-based behavior (EBB), and health behavior guidance (HBG). Five key models were analysed: The Revised Health Belief Model (HBM), Theory of Rational Action (TRA), Theory of Planned Behavior (TPB), Health Promotion Model (HPM), and Social Cognitive Theory (SCT) (SCM). Using the VIKOR method, the study calculated Sj (weighted sum), Rj (rank), and Qj values to determine the relative effectiveness of each model. TRA ranked highest overall, showing particular strengths in self-efficacy and outcome expectancy, although it had limitations in health behavior guidance. SCM performed well on self-efficacy, but faced challenges in outcome expectancy and evidence-based behavior. The revised HBM showed a balanced performance, with notable strengths in evidence-based behavior and health behavior guidance. The TPB showed strong performance on outcome expectancy and evidence-based behavior, while the HPM proved effective on evidence-based behavior and health behavior guidance, but improvements were needed on self-efficacy and outcome expectancy. The findings highlight that no single model excels on all criteria, suggesting the potential benefits of a hybrid approach that combines the strengths of multiple models while addressing their limitations. This research provides valuable insights for healthcare organizations and nursing educators in selecting and adapting practice models to meet specific needs. The study concludes that a personalized approach to implementing nursing practice models, incorporating elements from different frameworks, can lead to more effective nursing practices, which will benefit both healthcare providers and patients.

Publication Details

Journal
REST Journal on Data Analytics and Artificial Intelligence
Published
2025-04-22
DOI
https://doi.org/10.46632/jdaai/4/1/32
Primary Topic
Technology and Data Analysis
Type
article
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article

A Comparative Analysis of Nursing Practice Models Using the VIKOR Method

REST Journal on Data Analytics and Artificial Intelligence
Technology and Data Analysis
article

A Comparative Analysis of Nursing Practice Models Using the VIKOR Method

article en

Abstract

This study evaluated various nursing practice models Using the VIKOR A multicriterion decision-making (MCDM) approach is a systematic method used to evaluate and rank alternatives based on multiple, often conflicting, criteria to support effective decision-making assess their effectiveness on four key dimensions: self-efficacy (SE), outcome expectancy (OE), evidence-based behavior (EBB), and health behavior guidance (HBG). Five key models were analysed: The Revised Health Belief Model (HBM), Theory of Rational Action (TRA), Theory of Planned Behavior (TPB), Health Promotion Model (HPM), and Social Cognitive Theory (SCT) (SCM). Using the VIKOR method, the study calculated Sj (weighted sum), Rj (rank), and Qj values to determine the relative effectiveness of each model. TRA ranked highest overall, showing particular strengths in self-efficacy and outcome expectancy, although it had limitations in health behavior guidance. SCM performed well on self-efficacy, but faced challenges in outcome expectancy and evidence-based behavior. The revised HBM showed a balanced performance, with notable strengths in evidence-based behavior and health behavior guidance. The TPB showed strong performance on outcome expectancy and evidence-based behavior, while the HPM proved effective on evidence-based behavior and health behavior guidance, but improvements were needed on self-efficacy and outcome expectancy. The findings highlight that no single model excels on all criteria, suggesting the potential benefits of a hybrid approach that combines the strengths of multiple models while addressing their limitations. This research provides valuable insights for healthcare organizations and nursing educators in selecting and adapting practice models to meet specific needs. The study concludes that a personalized approach to implementing nursing practice models, incorporating elements from different frameworks, can lead to more effective nursing practices, which will benefit both healthcare providers and patients.

REST Journal on Data Analytics and Artificial IntelligenceVol. 4(1 March 2025)
Openalex Percentile: Top 89%
Technology and Data Analysis
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