Summative Assessment: Supporting Data for Capstone
● In this summative assessment, you will create a plan for your data collection for your capstone project. You will include information on both quantitative and qualitative data, where you will locate the information in your organization, and recommendations for other types of data to be collected or utilized.
● Your plan should include the following: ○ Overview of Problem of Practice
■ The issue that is occurring in your workplace and why it is an issue
○ Quantitative Data ■ Description of the quantitative data available to you ■ The process for obtaining the data that currently exists ■ Explanation of how this data can help inform your
research ○ Qualitative Data
■ Description of the qualitative data available to you ■ The process for obtaining the data that currently exists ■ Explanation of how this data can help inform your
research ○ New Recommendations for Data
■ Provide your recommendations for new quantitative and qualitative data to help you conduct your action research project
■ Quantitative data you would collect ■ Qualitative data you would collect
Document Type/Template:
● This submission may be in the format of a written paper, a visual presentation, or a video presentation.
● If you choose to write a paper, it should be 5+ pages in length. ● If you choose to create a visual presentation, it should be 8+ slides long.
- Document Type/Template:
Supporting Data Plan for Capstone Project
1. Overview of Problem of Practice
-
Problem Statement: Describe the specific issue in your workplace.
-
Example: “High patient fall rates on the medical-surgical unit are impacting patient safety, increasing hospital costs, and affecting staff workload and morale.”
-
-
Rationale: Explain why this is an issue and how it affects the organization. Include both operational and patient-centered impacts.
-
Patient safety concerns
-
Regulatory compliance implications
-
Staff and patient satisfaction
-
2. Quantitative Data
-
Description of Available Data:
-
Examples: incident reports, patient fall logs, staffing ratios, patient acuity scores, patient satisfaction surveys.
-
-
Process for Obtaining Data:
-
Access through electronic health records (EHRs)
-
Reports from quality improvement or risk management departments
-
Internal dashboards and safety committee records
-
-
How This Data Informs Research:
-
Identifies trends and patterns over time
-
Provides measurable baseline for outcomes
-
Helps evaluate the impact of interventions quantitatively
-
Table Example – Quantitative Data Sources
| Data Type | Source | Collection Method | Use in Research |
|---|---|---|---|
| Patient fall incidents | EHR / Safety Reports | Monthly extraction | Identify frequency, high-risk areas |
| Staffing ratios | HR / Unit Schedules | Payroll / scheduling data | Assess correlation with patient outcomes |
| Patient satisfaction scores | Press Ganey / Surveys | Quarterly survey reports | Measure patient experience improvements |
3. Qualitative Data
-
Description of Available Data:
-
Examples: staff interviews, patient feedback, focus groups, observational notes.
-
-
Process for Obtaining Data:
-
Conduct semi-structured interviews with nursing staff and patients
-
Organize focus groups to discuss perceptions of safety and workflow challenges
-
Collect open-ended feedback from patient satisfaction surveys
-
-
How This Data Informs Research:
-
Provides context and insight behind quantitative trends
-
Identifies barriers, perceptions, and potential interventions
-
Captures experiences not reflected in numeric data
-
Table Example – Qualitative Data Sources
| Data Type | Source | Collection Method | Use in Research |
|---|---|---|---|
| Staff perceptions | Nursing staff interviews | Semi-structured interviews | Understand barriers to fall prevention |
| Patient feedback | Patient surveys | Open-ended survey questions | Gain insight on patient experiences |
| Observational notes | Unit rounds | Direct observation | Identify workflow issues affecting safety |
4. New Recommendations for Data
-
Quantitative Data to Collect:
-
Real-time sensor data on patient movement (if available)
-
Incident severity scoring
-
Time-stamped staffing assignments linked to outcomes
-
-
Qualitative Data to Collect:
-
Patient narratives detailing safety concerns
-
Staff feedback on newly implemented interventions
-
Interprofessional team perspectives on process improvements
-
-
Rationale for Additional Data:
-
Ensures comprehensive understanding of the problem
-
Supports both statistical analysis and human-centered insights
-
Helps evaluate interventions more accurately and holistically
-
5. Conclusion
-
Recap the importance of combining quantitative and qualitative data
-
Emphasize how data collection will support evidence-based improvements in practice
-
Highlight how your data plan sets the foundation for your capstone project
References (APA 7th Edition)
-
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
-
Polit, D. F., & Beck, C. T. (2021). Nursing research: Generating and assessing evidence for nursing practice (11th ed.). Wolters Kluwer.
-
Institute for Healthcare Improvement. (2022). How to improve: Using data for quality improvement. https://www.ihi.org
✅ Tips to Expand to 5+ Pages:
-
Include detailed descriptions of each data source
-
Add charts, graphs, or tables with hypothetical or historical examples
-
Discuss potential limitations of current data
-
Describe the method for integrating quantitative and qualitative findings
1. Overview of Problem of Practice
-
Problem Statement: Describe the specific issue in your workplace.
-
Example: “High patient fall rates on the medical-surgical unit are impacting patient safety, increasing hospital costs, and affecting staff workload and morale.”
-
-
Rationale: Explain why this is an issue and how it affects the organization. Include both operational and patient-centered impacts.
-
Patient safety concerns
-
Regulatory compliance implications
-
Staff and patient satisfaction
-
2. Quantitative Data
-
Description of Available Data:
-
Examples: incident reports, patient fall logs, staffing ratios, patient acuity scores, patient satisfaction surveys.
-
-
Process for Obtaining Data:
-
Access through electronic health records (EHRs)
-
Reports from quality improvement or risk management departments
-
Internal dashboards and safety committee records
-
-
How This Data Informs Research:
-
Identifies trends and patterns over time
-
Provides measurable baseline for outcomes
-
Helps evaluate the impact of interventions quantitatively
-
Table Example – Quantitative Data Sources
| Data Type | Source | Collection Method | Use in Research |
|---|---|---|---|
| Patient fall incidents | EHR / Safety Reports | Monthly extraction | Identify frequency, high-risk areas |
| Staffing ratios | HR / Unit Schedules | Payroll / scheduling data | Assess correlation with patient outcomes |
| Patient satisfaction scores | Press Ganey / Surveys | Quarterly survey reports | Measure patient experience improvements |
3. Qualitative Data
-
Description of Available Data:
-
Examples: staff interviews, patient feedback, focus groups, observational notes.
-
-
Process for Obtaining Data:
-
Conduct semi-structured interviews with nursing staff and patients
-
Organize focus groups to discuss perceptions of safety and workflow challenges
-
Collect open-ended feedback from patient satisfaction surveys
-
-
How This Data Informs Research:
-
Provides context and insight behind quantitative trends
-
Identifies barriers, perceptions, and potential interventions
-
Captures experiences not reflected in numeric data
-
Table Example – Qualitative Data Sources
| Data Type | Source | Collection Method | Use in Research |
|---|---|---|---|
| Staff perceptions | Nursing staff interviews | Semi-structured interviews | Understand barriers to fall prevention |
| Patient feedback | Patient surveys | Open-ended survey questions | Gain insight on patient experiences |
| Observational notes | Unit rounds | Direct observation | Identify workflow issues affecting safety |
4. New Recommendations for Data
-
Quantitative Data to Collect:
-
Real-time sensor data on patient movement (if available)
-
Incident severity scoring
-
Time-stamped staffing assignments linked to outcomes
-
-
Qualitative Data to Collect:
-
Patient narratives detailing safety concerns
-
Staff feedback on newly implemented interventions
-
Interprofessional team perspectives on process improvements
-
-
Rationale for Additional Data:
-
Ensures comprehensive understanding of the problem
-
Supports both statistical analysis and human-centered insights
-
Helps evaluate interventions more accurately and holistically
-
5. Conclusion
-
Recap the importance of combining quantitative and qualitative data
-
Emphasize how data collection will support evidence-based improvements in practice
-
Highlight how your data plan sets the foundation for your capstone project
References (APA 7th Edition)
-
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
-
Polit, D. F., & Beck, C. T. (2021). Nursing research: Generating and assessing evidence for nursing practice (11th ed.). Wolters Kluwer.
-
Institute for Healthcare Improvement. (2022). How to improve: Using data for quality improvement. https://www.ihi.org
✅ Tips to Expand to 5+ Pages:
-
Include detailed descriptions of each data source
-
Add charts, graphs, or tables with hypothetical or historical examples
-
Discuss potential limitations of current data
-
Describe the method for integrating quantitative and qualitative findings
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