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A Costly and Resource Intense Proxy
By Brent A. Metfessel MD, MS, CMP™ (Hon)
In a previous Medical Executive-Post, medical claims outcomes analysis was discussed as an indirect proxy for care quality.
And, we asked if anyone could comment on other ways [direct or indirect] to ascertain medical care outcomes using claims, or other data?
Non-Medical Claims Data Analysis
Now, the following are some ways to ascertain outcomes of care using non-medical claims data:
· Patient satisfaction data may be an indicator of outcomes, since patient satisfaction with care often relates directly to how well a patient has progressed with respect to his/her illness.
· Functional status survey data provides a direct subjective account of the severity of illness and/or outcome of treatment, depending on when the survey was given. A congestive heart patient that reports in a survey that he/she cannot walk up a flight of stairs may show non-responsiveness to treatment that needs addressing.
· Clinical data analysis is becoming important as more and more organizations are adding clinical data to the claims, such as lab values. Hemoglobin A1c values, for example, hold the key to how well controlled a diabetic is over the long term.
Assessment
Unfortunately, the difficulty with non-claims data is that collection of such data can be resource-intensive and costly, depending on the sophistication of the information systems available. Can anyone comment on other ways [direct or indirect] to ascertain medical care outcomes using non-claims data?
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