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<p>Optimizing resource allocation for improving nursing professional ethics represents a significant challenge in healthcare management. This study addresses this operational problem by developing a data-driven framework for prioritizing interventions using an exploratory sequential mixed-methods approach. The study combined qualitative interviews with 46 healthcare professionals to identify ethical indicators, quantitative surveys with 819 participants to assess performance levels, and the Group Best-Worst Method (BWM) with six experts to determine criterion weights. These elements were integrated through Importance-Performance Analysis (IPA) to create a strategic decision-making framework. The BWM analysis established the relative importance of eight ethical dimensions, with Effective Communication Skills (weight = 0.328), Trust-Building (0.197), and Intrinsic Motivation (0.131) emerging as most critical. The IPA matrix revealed crucial high-priority areas requiring immediate intervention, particularly courteous patient interactions, acknowledging patient autonomy, and fostering intrinsic motivation for patient care, which demonstrated high importance but low performance. This study demonstrates the application of operations research methodologies in healthcare ethics management. The hybrid BWM-IPA framework provides hospital administrators with an evidence-based tool for strategic resource allocation, enabling efficient targeting of interventions to enhance nursing ethical performance in the most critical areas. This study effectively transforms the abstract concept of nursing ethics into a measurable and practical strategic management tool. By integrating operations research techniques, it introduces a framework that enables healthcare leaders to move beyond purely philosophical discourse toward precise, data-driven decision-making in resource allocation. This approach facilitates targeted and efficient improvements in ethical care delivery while simultaneously enhancing patient outcomes and nurse satisfaction, thereby addressing critical challenges in modern healthcare systems.</p>

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Strategic Resource Allocation in Nursing Ethics: A Data-Driven Optimization Approach

  • 期刊论文

  • 发表日期：

    2026年5月2日

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  • Bahareh Mahbanooei,
  • Amir Ahmad Shojaei,
  • Ata Harandi,
  • Shib Sankar Sana

摘要

Optimizing resource allocation for improving nursing professional ethics represents a significant challenge in healthcare management. This study addresses this operational problem by developing a data-driven framework for prioritizing interventions using an exploratory sequential mixed-methods approach. The study combined qualitative interviews with 46 healthcare professionals to identify ethical indicators, quantitative surveys with 819 participants to assess performance levels, and the Group Best-Worst Method (BWM) with six experts to determine criterion weights. These elements were integrated through Importance-Performance Analysis (IPA) to create a strategic decision-making framework. The BWM analysis established the relative importance of eight ethical dimensions, with Effective Communication Skills (weight = 0.328), Trust-Building (0.197), and Intrinsic Motivation (0.131) emerging as most critical. The IPA matrix revealed crucial high-priority areas requiring immediate intervention, particularly courteous patient interactions, acknowledging patient autonomy, and fostering intrinsic motivation for patient care, which demonstrated high importance but low performance. This study demonstrates the application of operations research methodologies in healthcare ethics management. The hybrid BWM-IPA framework provides hospital administrators with an evidence-based tool for strategic resource allocation, enabling efficient targeting of interventions to enhance nursing ethical performance in the most critical areas. This study effectively transforms the abstract concept of nursing ethics into a measurable and practical strategic management tool. By integrating operations research techniques, it introduces a framework that enables healthcare leaders to move beyond purely philosophical discourse toward precise, data-driven decision-making in resource allocation. This approach facilitates targeted and efficient improvements in ethical care delivery while simultaneously enhancing patient outcomes and nurse satisfaction, thereby addressing critical challenges in modern healthcare systems.