Patient Attribution Survey - HB 22-1325 Implementation

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The following survey was developed by the Colorado Division of Insurance, in partnership with the HCP LAN, to gain insight into current patient attribution practices, and to begin identifying best practices that should be considered in the Division's implementation of HB 22-1325. Please complete and submit the following survey by April 28, 2023. Thank you for your time and participation.

Name/Organization

1. What guidelines should there be to ensure transparency in patient attribution?

2. What challenges have you or your organization experienced with transparency related to attribution?

3. What does good payer-provider communication on attribution look like? (Please be as specific as possible.)

4. Which attribution approaches are you most familiar with? (Please select any that apply)

Prospective (providers receive attribution list at the beginning of the year)

Retrospective (patients attributed to providers at the end of the year)

"Hybrid" approaches (include prospective and retrospective elements)

5. What has been your experience with the approaches listed in question 4?

6. How should attribution methodologies account for different types of APMs?

7. What challenges have you or your organization experienced with reconciling discrepancies in patient attribution lists?

8. What does a good reconciliation process for addressing discrepancies in patient attribution lists?

9. Which of the following components of patient attribution methodologies would be most beneficial to align across payers? (Please rank in order; 1 = most valuable)

High value

Middle value

Low value

Lookback periods

Reattribution time frames

Methods (prospective vs retrospective)

Transparency requirements

Clear selection

10. Which of the following components of patient attribution methodologies are most feasible to align across payers? (Please rank in order; 1 = most valuable)

Very difficult

Somewhat difficult

Not very difficult

Lookback periods

Reattribution time frames

Methods (prospective vs retrospective)

Transparency requirements

Clear selection

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