Resources
6 Results (showing 1 - 6)
Results sorted by updated date (newest first)
Results sorted by updated date (newest first)
Posted 7/7/2021 (updated 4/2/2024)
This Technical Briefing provides a description of Peer-to-Peer Distribution of Naloxone (P2PN). This is based on six case studies of pioneers of P2PN; three from the UK and three international examples that inform the guidance in this Technical Briefing. This document will inform and be extended following a pilot of P2PN in four sites in England in 2019. These will be supported by small grants from EuroNPUD. The learning from this pilot will help test the model and peer education approach promoted in this briefing.
Posted 9/18/2020 (updated 3/29/2024)
This is the template for the PIII Community Needs Assessment and Gap Analysis deliverable.
Posted 9/18/2020 (updated 3/29/2024)
We have included information that will be relevant
to the broad range of HRSA RCORP-Planning grantees.
We encourage you to work through this packet section by
section, keeping in mind the timeline for final submission of
core grant deliverables.
Posted 4/26/2023 (updated 3/27/2024)
OMNI Institute, in partnership with the JBS RCORP-TA team, created the Spring 2023 Data Learning Collaborative for all RCORP grant recipients. These sessions built the foundation for data learning, and we dove into data-related topics during each month’s skills-building session.
Posted 4/25/2023 (updated 3/27/2024)
This page contains resources to support grantees in collecting, managing and sharing their RCORP data. If you are in need of PIMS data collection guidance, please visit the RCORP Grantee Data Collection Resources (Implementation, MAT Expansion, and NAS) page to access the PIMS Data Collection Resource, checklist, and workbook.
Posted 11/11/2022 (updated 3/27/2024)
OMNI Institute, in partnership with the JBS RCORP-TA team, created the 2022-2023 RCORP-TA Data Learning Collaborative (LC) for grantees to come together and share knowledge, talk through challenges, and build relationships with one another. This LC will build upon the foundation established in the prior 2022 RCORP-TA Data Learning Collaborative.