DATA, TRACKING, AND QUALITY OUTCOMES

Chris Espersen, MSPH

Overview

Data overload What data to collect How to collect data Data fidelity Data dissemination Your questions

Data Overload

Other agencies “helpful” data

Regurgitated data Expanding funding

requirements Differing data definitions TMI!!!

What data to collect

Evolution of data Funding requirements Quality improvement data Finding the data that works for us

How to collect data: ?s to ask What am I measuring? What population do I want to measure

this for? Why does it matter? What are my numerator and

denominator? Data dictionary

How to collect data: Systems Infrastructure

Programs? People?

Data for more than one purpose Are the data in your system? Are there data you are already collecting that are

applicable? Are others collecting similar data?

What difference are these data going to make to your organization? One time funding? Aligned with needs of clientele? Existing or potential reimbursement systems?

Data fidelity

Don’t work on QI until you are reasonably sure your data are accurate Won’t ever be perfect Small changes

Encourage questions! Audit your own data Don’t take anyone’s data at face value

Run reports 2 different ways Ask if It makes sense

Data Dissemination

Share those data! QI teams Community partners Fellow grantees Legislature People with $$

Data, data, data!

Love your data Use your data Question your data Share your data

Thank you!

Questions? cespersen@phcinc.net