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Intervention Effectiveness Research: Quality Improvement and Program Evaluation in Healthcare (2nd Ed., 2nd ed. 2024) A Practical Guide to Real-World Implementation

Langue : Anglais

Auteur :

Couverture de l’ouvrage Intervention Effectiveness Research: Quality Improvement and Program Evaluation in Healthcare

This new edition provides a model and road map to answer clinical questions related to intervention effectiveness research, quality improvement, and program evaluation.  It offers clear and simple guidance for all phases of a clinical inquiry projects from planning through dissemination and communication of results and findings. The book emphasizes the value and importance of leveraging existing data to advance research, practice, and quality improvement efforts.  

The new edition of Intervention Effectiveness Research is an updated practical guide for organizing and navigating the intersections of research and practice. Structure, process, and outcome worksheets for every step are provided together with examples from diverse settings and populations to lead readers through the process of implementing their own projects.  The author highlights real world projects and clarifies interpretations from the differing perspectives of research, quality improvement, and program evaluation.

This book is intended for teachers of DNP and PhD programs in nursing and other disciplines, their students, and healthcare leaders who need to leverage data to demonstrate care quality and outcomes.

Part I Introduction to Intervention Effectiveness Research, Quality Improvement, and Program Evaluation

1 Key Concepts, Definitions, and Frameworks 

2 Problem-Intervention-Outcome Meta-Model (PIO MM): A Conceptual Meta Model for Intervention Effectiveness Research, Quality Improvement Activities, and Program Evaluation

3 Problem-Intervention-Outcome Meta-Model Project Design

4 Tools for Planning and Monitoring Intervention Effectiveness Research, Quality Improvement Activities, and Program Evaluation

5 Tools for Intervention Effectiveness Research, Quality Improvement Activities, and Program Evaluation

6 Descriptive Analysis and Interpretation
7 Inferential Analysis and Interpretation
8 Exploratory Data Analysis
9 Ethical Considerations

Part II Practical Guide for Using the Problem-Intervention-Outcome Meta-Model 
10 Use the Worksheets and PIO MM Figure
11 Know the Literature (Worksheet A)
12 Define the Problem (Worksheet B)
13 Describe the Intervention (Worksheet C)
14 Define the Outcome (Worksheet D)
15 Plan the Analysis (Worksheet E)
16 Interpret the Results (Worksheet F)
17 Disseminate the Findings
18 Synthesis, Next Steps, and Epilogue 

Dr. Karen A. Monsen, PhD, RN, FAMIA, FNAP, FAAN, is an award-winning scholar and expert nurse informatician.  She is professor emeritus at the University of Minnesota School of Nursing, where she was director of the University of Minnesota Center for Nursing Informatics, Director of the Omaha System Partnership, affiliate faculty in the Institute for Health Informatics, and faculty in the Center for Spirituality and Healing. Dr. Monsen specializes in data management for intervention effectiveness research, quality improvement, and outcome evaluation in nursing and health care.

Based on her years of public health experience and her insights from exploring big data methods with existing datasets, Dr. Monsen celebrates the power of shared understanding enabled by the use of standardized data. At the crossroads of research and practice, she tirelessly championed intervention effectiveness research through three major initiatives: The Omaha System Community of Practice, The Omaha System Partnership for Knowledge Discovery and Health Care Quality; and The Omaha System Guidelines. These initiatives are face-to-face and Internet forums for research and quality improvement projects world-wide.  Dr. Monsen is the author of over 200 published studies that have advanced the design, development and evaluation of clinical practice for diverse problems, programs, and populations.

Presents simple explanations of the specific requirements for project design, data representation, methods analysis

Offers an updated step-by-step guidance to conduct data-driven intervention effectiveness, quality improvement

Useful to health professions graduate students in research or practice doctoral programs

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