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Evaluating the design and implementation fidelity of an adapted Plan-Do-Study-Act approach to improve health system performance in a Nigerian state

机译:评估适应计划实践法的设计和实施保真法,以提高尼日利亚州的卫生系统性能

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Background: The Plan-Do -Study-Act (PDSA) cycle is fundamental to many quality improvement (QI) models. For the approach to be effective in the real-world, variants must align with standard elements of the PDSA. This study evaluates the alignment between theory, design and implementation fidelity of a PDSA variant adapted for Nigeria's health system performance improvement.Methods: An iterative consensus building approach was used to develop a scorecard evaluating new conceptual indices of design and implementation fidelity of QI interventions (design and implementation index, defects and gaps) based on Taylor's theoretical framework.Results: Design (adaptation) scores were optimal across all standard features indicating that design was well adapted to the typical PDSA. Conversely, implementation fidelity scores were only optimal with two standard features: prediction-based test of change and the use of data over time. The other features, use of multiple iterative cycles and documentation had implementation gaps of 17 % and 50 % respectively.Conclusion: This study demonstrates how both adaptation and implementation fidelity are important for success of QI interventions. It also presents an approach for evaluating other QI models using Taylor's PDSA assessment framework as a guide, which might serve to strengthen the theory behind future QI models and provide guidance on their appropriate use.
机译:背景:平面图-Study-Act(PDSA)周期是许多质量改进(QI)模型的基础。对于在现实世界中有效的方法,变体必须与PDSA的标准元素对齐。本研究评估了适用于尼日利亚健康系统性能改进的PDSA变体的理论,设计和实施的对准。方法:迭代共识建设方法用于开发评估新概念概念的设计和实施保真度的记分卡(基于Taylor的理论框架的设计和实现指数,缺陷和差距。结果:设计(适应)分数在所有标准特征上都是最佳的,指示设计适应典型的PDSA。相反,实施保真度分数仅具有两个标准特征:基于预测的变化测试和数据随时间使用。其他特征,使用多次迭代周期和文档的实施差距分别为17%和50%。结论:本研究表明,适应和实施保真程度如何对齐齐的成功表示重要。它还提出了一种使用泰勒的PDSA评估框架作为指南评估其他QI模型的方法,这可能有助于加强未来QI模型背后的理论,并提供适当使用的指导。

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