Designing Decision-Making Frameworks for Critical Care Nurses in Resource-Limited Settings

Abstract

Background: Critical care nursing in resource-limited settings presents unique challenges, including inadequate access to essential equipment, medications, and trained personnel. Decision-making in such contexts is further complicated by high patient acuity, ethical dilemmas, and the need to prioritize care amidst scarce resources. Despite the critical role of decision-making frameworks in guiding clinical judgment, existing models often fail to address the specific constraints and contextual nuances of resource-limited settings.

Aim: This paper aims to design and evaluate a contextually relevant decision-making framework tailored for critical care nurses working in resource-limited environments. The framework seeks to enhance clinical efficiency, reduce errors, and improve patient outcomes by providing structured, evidence-based guidance.

Methods: A mixed-methods approach was employed to develop the framework. Qualitative interviews with critical care nurses provided insights into decision-making challenges and needs. A comprehensive review of existing frameworks and best practices was conducted to identify gaps and potential adaptations. The proposed framework was validated through pilot studies in select critical care units, with iterative refinements based on feedback from practitioners.

Results: The framework demonstrated significant improvements in decision-making efficiency, nurse satisfaction, and patient outcomes. Nurses reported increased confidence and reduced moral distress, while facilities noted optimized resource allocation and reduced clinical errors. Comparative analyses indicated a 20% improvement in patient stabilization rates and a marked reduction in adverse events.

Conclusion: The proposed framework addresses critical gaps in decision-making support for nurses in resource-limited settings. By integrating contextual adaptations and user-friendly tools, it provides a scalable solution for improving the quality of critical care. Further research is recommended to evaluate its long-term impact and applicability in diverse healthcare environments.