Implementing a Mental Health Screening ToolBy Phillip / May 22, 2022 “Implementing a Mental Health Screening Tool for Healthcare Providers to promote self-care for improving patients outcomes”. Chapter One Phenomenon of Interest Purpose and aims Background Significance to nursing Project support Benefit to practice setting Chapter Two Design a Proposal Research critique Concepts and definitions Theoretical framework Chapter Three Methodology, design, data collection, data analysis plan, human subject protection Methodology Design Instruments for data collection (surveys, assessments, demographic data) Data analysis plan Resources needed for project Project budget Timeline for project Protection for human subjects if applicable Chapter Four Analysis and Findings Methods of evaluating data Instruments and procedures Validity and reliability Ensuring data quality and accuracy Ethical considerations Data analysis Descriptive statistics Qualitative or quantitative methods Variability with effect size and study design Results Outcomes Evolution of the project (use a flow chart, table or diagram) Chapter Five Results Meaning of results Project strengths Project limitations Insights Implications Future research Healthcare policy Quality/safety Recommendations/Conclusion 25 Pages for 5 chaptersChapter One Phenomenon of Interest
“Implementing a Mental Health Screening Tool for Healthcare Providers to promote self-care for improving patients outcomes”.
Chapter One Phenomenon of Interest
Purpose and aims
Background
Significance to nursing
Project support
Benefit to practice setting
Chapter Two Design a Proposal
Research critique
Concepts and definitions
Theoretical framework
Chapter Three Methodology, design, data collection, data analysis plan, human subject protection
Methodology
Design
Instruments for data collection (surveys, assessments, demographic data)
Data analysis plan
Resources needed for project
Project budget
Timeline for project
Protection for human subjects if applicable
Chapter Four Analysis and Findings
Methods of evaluating data
Instruments and procedures
Validity and reliability
Ensuring data quality and accuracy
Ethical considerations
Data analysis
Descriptive statistics
Qualitative or quantitative methods
Variability with effect size and study design
Results
Outcomes
Evolution of the project (use a flow chart, table or diagram)
Chapter Five Results
Meaning of results
Project strengths
Project limitations
Insights
Implications
Future research
Healthcare policy
Quality/safety
Recommendations/Conclusion
25 Pages for 5 chaptersChapter One Phenomenon of Interest