Optimizing Usage of Offer Filters
At a glance
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.
- 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
- 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
Lorrindas Gray-Davis | 02/02/2023
I would like to know how the education for patients would take place? Would patients be able to decide they want a different filter? I think more patient engagement needs to take place.
Anonymous | 02/01/2023
If used properly, and with the AI discussed, filters are incredibly helpful and would better facilitate transplantation if used.
Steven Weitzen | 01/29/2023
I support this project as long as it is done with care and modifying the process with time -- e.g., perhaps ensure that offer filters being used are not too stringent or otherwise inappropriate.
Anonymous | 01/19/2023
I have ran into significant issues trying to place kidneys when NRP has been implemented and it looks as though WIT is astronomical. The use of filters auto-rules out centers that may actually be interested, since the agonal phase is cut substantially shorter than what is calculated on the DCD flowsheet that transfers over to UNET. This is a misrepresentation of what the actual WIT is, and while we can place a note in DonorHighlights, and do other things to give a accurate representation of WIT, the calculation is still there and the filter still bypasses centers.