How Can We Decrease Early Dialysis Initiation? An Interactive Quality Improvement Teaching Case for Health Care Providers and Narrative Review of Quality Improvement Methodology

如何降低早期透析启动率?面向医疗保健提供者的互动式质量改进教学案例及质量改进方法论的叙述性回顾

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Abstract

PURPOSE OF REVIEW: Quality improvement (QI) initiatives use a team-based approach to problem-solving clinical and health system issues. All QI initiatives require the coordinated efforts of health care professionals and other stakeholders to encourage the provision of evidence-based clinical care. Most clinicians understand the principles of QI but may lack the training necessary to undertake individual projects. METHODS: An educational, nephrology-oriented clinical case was created based on the IDEAL study on timing of dialysis initiation, a prioritized quality indicator in several provinces. The case illustrates how to utilize commonly employed QI methodology and to provide a pragmatic framework for both developing and running a QI project. Core concepts addressed in this review include how to perform a QI chart audit, identification of a quality-of-care problem, engaging stakeholders, and how to conduct a root cause analysis that leads to selection of QI measures and change solutions. Last, plan-do-study-act (PDSA) cycles and interpretation of data using run charts are highlighted. SOURCES OF INFORMATION: PubMed and Google scholar were used as sources of published QI methodology. KEY FINDINGS: This nephrology-oriented QI case highlights how a core set of QI principles and tools can be used to improve clinical care. This review demonstrates that determining clear goals, utilizing evidence-based guidance to improve timing of dialysis initiation, engaging the appropriate stakeholders, identifying a feasible and measurable change, and tracking if that change leads to improvement are essential components of all QI initiatives. The above framework can be utilized in a variety of clinical areas both within and beyond nephrology-specific care. LIMITATIONS: Considerations regarding QI-specific data analysis were not addressed as they were beyond the scope of this review.

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