Week 4: Planning a Project: Theories, Frameworks, Models, and Implementation Science
The practice of research requires clear planning, focus, and intention. Additionally, the analysis of potential barriers, gaps, and issues is crucial in ensuring the research is not only effective, but beneficial to solving issues or problems within an organization or practice. Research cannot begin without an analysis and evaluation of how and why the research will be performed.
Throughout this week, you will focus on the importance of data gathering as it applies to nursing research and practice, the implementation science of nursing research, and evaluation of gaps and barriers in the research process. Through your small nursing informatics project, you will have the opportunity to demonstrate not only the importance of research in nursing practice, but also the importance of planning for the research.
Learning Objectives
Students will:
- Evaluate issues with Big Data for nursing research and practice
- Analyze barriers for implementation of nursing research
- Analyze gaps between evidence-based approaches and the research process
- Analyze application of change theory and systems thinking to healthcare organizations and nursing practice
- Evaluate theories and models related to change theory and systems thinking for nursing research
- Identify responsibility roles in a small nursing informatics project*
- Develop a change management plan for a small nursing informatics project*
- Develop a risk management plan for a small nursing informatics project*
* Assigned in Week 4 of Module 2 and submitted in Week 5 of Module 3
Learning Resources
Required Readings (click to expand/reduce)
Required Media (click to expand/reduce)
Discussion 1: Implementation Science
- Never have we had vast amounts of data at our fingertips like we do today. However, before we can meaningfully access and use data for interpretation, it must be transformed. To derive meaning from the data collected, you need to understand that data collection is rapidly changing and constantly evolving. The methods with which data is collected, analyzed, and used to justify, support, or lend credibility to research aims, are all important considerations for the nurse researcher. As it relates to Big Data, the methods of how data is collected, analyzed, and used for implementation is also important. While the availability of data collection certainly has its advantages, many researchers point to the concerns over Big Data.
- Photo Credit: NicoElNino / iStock / Getty Images Plus / Getty Images
For this Discussion, reflect on your understanding of Big Data and the implications for implementation. Consider the impact of research as it relates to collection via Big Data and consider how this impact might lead to potential barriers in implementation and practice gaps. Reflect on your experience and consider how these key issues might impact nursing practice.
To Prepare
- Review the Learning Resources for this week, focusing specifically on the implementation science articles and web resources.
- Consider the issues related to research and Big Data.
By Day 3 of Week 4
Post and describe what you believe is most significant as a key issue with Big Data in which dissertation research has been completed, yet the data has not been analyzed or implemented.
- Please cite specific examples of research that was completed with potential for great social impact but was not implemented.
- What are some potential barriers for implementing the research analyzed?
- What potential gaps exist between evidence-based approaches and the research process?
By Day 5 of Week 4
Read a selection of your colleagues’ responses and respond to at least two of your colleagues on two different days. Expand upon your colleague’s posting or offer an alternative perspective on how Big Data might affect research or the barriers with research implementation.
