Sowan Azizeh, Chinman Matthew
School of Nursing, The University of Texas Health Science Center at San Antonio, San Antonio, TX, United States.
RAND Corporation, Santa Monica, CA, United States.
JMIR Res Protoc. 2024 Jan 31;13:e54213. doi: 10.2196/54213.
Hundreds of nursing professionals graduate each year from Doctor of Nursing Practice (DNP) programs, entrusted with roles as practice scholars and leaders. Graduates are tasked to lead multidisciplinary knowledge implementation projects to improve safety, quality, and key performance metrics. Nevertheless, there is a continued lack of agreement and faculty dissatisfaction with the format, focus, and results of the DNP graduation projects. The use of a wide range of models and methodologies from different sciences for knowledge implementation introduces challenges to DNP students; affects the scientific rigor of the projects; and results in the overuse, superficial use, or misuse of the models. Quality improvement (QI) and program evaluation studies are substantial investments that may lead to waste and even harm if not well conducted. Traditional QI methodologies, commonly used in DNP projects, were found to be uncertain in improving health care outcomes. The complexity of health care systems calls for cross-fertilization between improvement and implementation sciences to improve health care outcomes.
This study describes the development, implementation, and evaluation of a hybrid model for QI and program evaluation studies to guide scholarship in the DNP program.
The hybrid model was based on cross-fertilization between improvement and implementation sciences. The model adapted the Getting to Outcome (GTO) and Knowledge to Action (KTA) models as the overarching process models for knowledge implementation. Within each phase of the GTO and KTA models, expected barriers and facilitators for the implementation and adoption of innovation were identified based on the CFIR (Consolidated Framework for Implementation Research). Accordingly, strategies to facilitate the implementation and adoption of innovations were identified based on a refined list of implementation strategies and QI tools. The choice of these models was based on the top 5 criteria for selecting implementation science theories and frameworks. Seven DNP students used the hybrid model to conduct QI projects. Students evaluated their experiences by responding to a Qualtrics survey.
The hybrid model encouraged a comprehensive systematic way of thinking, provided tools essential to implementation success, emphasized the need for adaptability in implementation, maintained rigor in QI, and guided the sustainability of change initiatives. Some of the challenges faced by students included finding reliable and valid measures, attaining and maintaining staff buy-in, and competing organizational priorities.
Cross-fertilization between improvement and implementation sciences provided a roadmap and systematic thinking for successful QI projects in the DNP program. The integration of the CFIR with the GTO or KTA process models, enforced by the use of evidence-based implementation strategies and QI tools, reflected the complexity of health care systems and emphasized the need for adaptability in implementation.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/54213.
每年有数百名护理专业人员从护理实践博士(DNP)项目毕业,肩负着实践学者和领导者的角色。毕业生的任务是领导多学科知识实施项目,以提高安全性、质量和关键绩效指标。然而,对于DNP毕业项目的形式、重点和结果,一直缺乏共识,教师也不满意。从不同学科使用广泛的模型和方法进行知识实施给DNP学生带来了挑战;影响了项目的科学严谨性;并导致模型的过度使用、表面使用或误用。质量改进(QI)和项目评估研究是重大投资,如果开展得不好,可能会导致浪费甚至危害。在DNP项目中常用的传统QI方法在改善医疗保健结果方面并不确定。医疗保健系统的复杂性要求改进科学与实施科学相互交融,以改善医疗保健结果。
本研究描述了一种用于QI和项目评估研究的混合模型的开发、实施和评估,以指导DNP项目中的学术研究。
该混合模型基于改进科学与实施科学的相互交融。该模型采用了“达成结果”(GTO)和“知识转化为行动”(KTA)模型作为知识实施的总体过程模型。在GTO和KTA模型的每个阶段,根据实施研究综合框架(CFIR)确定创新实施和采用的预期障碍和促进因素。因此,基于一份完善的实施策略和QI工具清单,确定了促进创新实施和采用的策略。这些模型的选择基于选择实施科学理论和框架的前5条标准。7名DNP学生使用该混合模型开展QI项目。学生们通过回复Qualtrics调查来评估他们的经历。
该混合模型鼓励全面系统的思维方式,提供实施成功所必需的工具,强调实施中适应性的必要性,保持QI的严谨性,并指导变革举措的可持续性。学生们面临的一些挑战包括找到可靠有效的措施、获得并维持员工的支持以及应对相互竞争的组织优先事项。
改进科学与实施科学的相互交融为DNP项目中成功的QI项目提供了路线图和系统思维。通过使用基于证据的实施策略和QI工具,将CFIR与GTO或KTA过程模型相结合,反映了医疗保健系统的复杂性,并强调了实施中适应性的必要性。
国际注册报告标识符(IRRID):RR1-10.2196/54213。