Optimizing Usage of Offer Filters

At a glance

Current policy

Offer filters are a tool that transplant programs use to bypass organ offers they would not accept. Currently, offer filters are used by kidney programs on a voluntary basis for kidney offers. This proposal would implement default offer filters, where model-identified filters will automatically be enabled by default instead of having kidney transplant programs opt-in to enable them. The model-identified filters are generated based on a transplant program’s previous acceptance patterns. Transplant programs would still be able to modify or remove filters at any time. Some candidate groups will never have filters applied to their offers based on a set of exclusion criteria outlined in the proposal. The goal of offer filters is to increase the number of transplants by getting organs accepted faster.

Supporting media

Presentation

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Proposed changes

Automatically apply defult offer filters for kidney transplant programs based on their previous acceptance practices
Identify candidate groups excluded from filters
Generate new set of filters for kidney programs every three months
Update existing data sets and filter options
Allow centers to modify and remove default filters at any time

Anticipated impact

What it's expected to do

Increase kidney program’s usage of offer filters
Require kidney transplant programs to opt out of using default filters
Filter kidney offers from donors that meet the default filter criteria
Enhance current functionality of offer filters
Increase kidney placement efficiency

What it won't do
- Will not remove the ability of kidney programs to modify or remove default filters
- Will not mandate the use of offer filters by kidney programs
- Will not apply default filters to pediatric alone kidney programs

Terms to know

Model-identified offer filter: Recommended offer filters generated based on a transplant program’s previous organ offer acceptance behavior.
Exclusion Criteria: Criteria used to exclude groups of candidates from having filters applied to their offers