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?