Performance Measurement Data
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Transcript Performance Measurement Data
Performance Measurement:
How Is Data Used in
Quality Improvement ?
Title I Mental Health Providers
Quality Learning Network
Johanna Buck, Quality Consultant
NYS DOH AIDS INSTITUTE
November 28th, 2005
Why data? A quick review…
The
basis of the scientific approach is
collecting and using data to guide your
thinking
A variation of the scientific approach (QI)
is a systematic way for individuals and
teams to solve problems and improve
processes
Value in using data
Data
enhances all the other tools used in
problem solving – knowledge, experience,
insight and intuition
Three ways data helps in problem solving:
1. separates what you think is happening
from what is really happening
2. establishes a baseline
3. helps avoid putting ineffective solutions
in place
When is data used in the
improvement process ?
To
establish the baseline
To gather more detailed information on a
process to help select a solution
To assess how well an improvement is
functioning
To demonstrate to others an improvement
action – comparison to baseline
To monitor an improvement to make sure it
is not slipping
Performance data and HIV care
Most
HIV quality programs use quality of
care indicators
Title I indicators are based on specific
standards of care derived through formal
group decision-making methods
Review organizations, software – IPRO,
NYCSHRO, HIVQUAL
Criteria for selecting indicators for
measurement
Relevance
Measurability
Improvability
Validity
HIVQUAL Publications
Performance Measurement Guide
I have my data. What do I do now?
When
data is initially reviewed, ask a
series of questions: What are the major
findings? What immediate steps must be
taken?
Next, develop a plan: for overall
improvement; for a project to address
specific findings; or to continue monitoring
a specific area.
How can data help set quality
priorities ?
Goals
need to be prioritized in order to
conserve resources, gain staff focus and
buy-in and direct efforts towards issues
that most need it
How can data help set quality
priorities ?
Three
criteria to consider:
1. Frequency – how many patients did
this effect?
2. Impact – what is the effect on patient’s
health if they did not receive this care?
3. Feasibility – can you realistically do
something about the problem?
Using Data in Specific Quality
Improvement Projects
Helps
determine if improvement is actually
taking place. Remember- All
improvements require change, but not all
changes are improvements !
Tips for Measurement #1
Plot
data over
time
Tracking a few
key measures
over time is the
single most
powerful tool a
team can use.
% Patients With a Visit in Past Three Months
Tips for Measurement #2
The perfect is the enemy of the good.
Tips for Measurement #3
Sampling
Tips for Measurement #4
Integrate
measurement
into the daily
routine
Tips for Measurement #5
Use both words and numbers
In Conclusion
QI without Data?
A “hit
or miss” endeavor
An
investment of time and energy to
improve a service that may not be critical
An
improvement/change that may not
have an impact comparable to the
required inputs
In Conclusion
Why Data?
Improved client care
More efficient processes
Greater employee satisfaction
Opportunities to reduce costs
Ability to sustain improved services
Final Thought …
If you don’t have time to do it right, when do
you have time to do it over?