Transcript Project Title

Project Title
Preceptor
Team members
Health Care Problem
• State reason for action
• Provide supporting data if available
Stakeholder Analysis
• Who is involved? Who is affected?
• Try Mind Mapping
• Start interviewing- qualitative baseline data
Define the Aim
• What are you trying to accomplish?
• Specify
– numeric goals (how good?)
– time frame (by when?)
– patient population/system (for whom?)
K. Shannon, 2012
Identify Measures of Change
• Outcome Measures
e.g. Duration of delay in administration of 1st dose
antibiotics
• Process Measures
e.g. % of antibiotic following forms filled
e.g. % of fax orders with telephone follow-up
• Balancing Measures
e.g. Staff satisfaction
5
Cause-Effect Analysis
• Fishbone Diagrams
• Flowcharts
Select Change
• Focus on a change concept
eliminate waste, improve work flow, optimize
inventory, change work environment, improve
patient interface, manage time, reduce variation,
improve error proofing, improve service
• Perform effort vs yield analysis
High effort
Low yield
High effort
High yield
Low effort
Low yield
Low effort
High yield
Evidence Review
• 1-2 slides identify relevant literature or best
practice models
• Who else has thought about this problem and
tried to fix?
• Critically appraise and describe how relates to
your project aim
Methods
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What was your hypothesis?
What type of data did you collect?
How did you collect the data?
What sample did you use and what was your
reasoning?
Results
• 2-4 slides summarizing qualitative or
quantitative data analysis
Example: Qualitative Data
1. Parents observed speech problems by age 4 and as young as
11 months

“Around 10 months I noticed she was not starting to talk like my other
children did”
2. A minority of children received Early Intervention


“I asked the doctor about it but they were just like oh, he’ll grow out
of it”
“We were supposed to have a lady come to the house and stuff but it
was impossible because I was working full-time and he was at
daycare”
Example: Quantitative Data
100%
100% 100%
95%
93%
93%
87%
84%
80%
85%
91%
87%
85%
91%
100%
97%
93%
95%
90%
85%
75%
Percentage
Automated BMI% calculation
60%
55%
47%
Incorporated BMI%
into nursing data collection
All Practices
Our Data
40%
Goal (95%)
Added BMI% to vitals
21%
20%
0%
May
June
July
August
September
October
November
December
Janurary
February
March
Interpretation/Discussion
• How does your data inform your
understanding of the health care problem?
• How does your data influence your
interpretation of how to improve the system?
• What will you do next?
Sustainability
• What barriers do you perceive to sustaining
the change?
• What resources are available to sustain the
change?
• What is the cost-benefit of the old process
versus the new process?
References
• References for literature cited
• Names of faculty/staff interviewed
• Location of sites where processes observed, or
any other relevant info