Optimizing Healthcare Delivery A Systematic Evaluation of Nursing Care Approaches Through TOPSIS Methodology

This study investigates the effectiveness of different nursing care approaches using a technique for priority ordering by analogy with the Top of Ideal Solution (TOPSIS) approach. The study employed a systematic analytical framework incorporating normalized data matrices and weighted decision criteria to assess the relative performance of each nursing care approach. The TOPSIS analysis revealed that Comprehensive nursing care achieved the highest ranking with a closeness coefficient of 0.8126, followed closely by Provision of nursing care (0.8095). The findings demonstrate that holistic approaches to patient care, which balance multiple aspects of healthcare delivery, yield superior results compared to more narrowly focused methods. The study utilized equal weight distribution (0.25) across all criteria to ensure unbiased evaluation, while the distance metrics from ideal and negative-ideal solutions revealed the relative advantages and limitations of each approach. The research findings indicate that successful nursing care delivery requires consistent performance across all evaluated criteria rather than excellence in isolated areas. The analysis highlights the importance of integrating various nursing care aspects and maintaining high standards across all metrics. These results offer valuable insights for healthcare administrators and nursing professionals in developing and implementing effective nursing care strategies. The study concludes that comprehensive, balanced approaches to nursing care led to optimal healthcare outcomes and patient satisfaction. This research Adds to the expanding collection of research on healthcare quality assessment by demonstrating the utility of multicriteria decision-making methods in evaluating nursing care effectiveness. The findings provide a framework for healthcare institutions to assess and enhance their nursing care delivery systems while emphasizing the importance of maintaining balanced performance across multiple healthcare delivery metrics.

Publication Details

Journal
REST Journal on Data Analytics and Artificial Intelligence
Published
2025-04-22
DOI
https://doi.org/10.46632/jdaai/4/1/38
Primary Topic
Multi-Criteria Decision Making
Type
article
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article

Optimizing Healthcare Delivery A Systematic Evaluation of Nursing Care Approaches Through TOPSIS Methodology

REST Journal on Data Analytics and Artificial Intelligence
Multi-Criteria Decision Making
article

Optimizing Healthcare Delivery A Systematic Evaluation of Nursing Care Approaches Through TOPSIS Methodology

article en

Abstract

This study investigates the effectiveness of different nursing care approaches using a technique for priority ordering by analogy with the Top of Ideal Solution (TOPSIS) approach. The study employed a systematic analytical framework incorporating normalized data matrices and weighted decision criteria to assess the relative performance of each nursing care approach. The TOPSIS analysis revealed that Comprehensive nursing care achieved the highest ranking with a closeness coefficient of 0.8126, followed closely by Provision of nursing care (0.8095). The findings demonstrate that holistic approaches to patient care, which balance multiple aspects of healthcare delivery, yield superior results compared to more narrowly focused methods. The study utilized equal weight distribution (0.25) across all criteria to ensure unbiased evaluation, while the distance metrics from ideal and negative-ideal solutions revealed the relative advantages and limitations of each approach. The research findings indicate that successful nursing care delivery requires consistent performance across all evaluated criteria rather than excellence in isolated areas. The analysis highlights the importance of integrating various nursing care aspects and maintaining high standards across all metrics. These results offer valuable insights for healthcare administrators and nursing professionals in developing and implementing effective nursing care strategies. The study concludes that comprehensive, balanced approaches to nursing care led to optimal healthcare outcomes and patient satisfaction. This research Adds to the expanding collection of research on healthcare quality assessment by demonstrating the utility of multicriteria decision-making methods in evaluating nursing care effectiveness. The findings provide a framework for healthcare institutions to assess and enhance their nursing care delivery systems while emphasizing the importance of maintaining balanced performance across multiple healthcare delivery metrics.

REST Journal on Data Analytics and Artificial IntelligenceVol. 4(1 March 2025)
Openalex Percentile: Top 91%
Multi-Criteria Decision Making
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