Resources
75 Results (showing 1 - 10)
Results sorted by updated date (oldest first)
Results sorted by updated date (oldest first)
Posted 10/3/2019 (updated 3/25/2024)
Focus Group / Key informant interview sample questions
Posted 10/7/2019 (updated 3/25/2024)
It’s All About That Data Webinar Presentation and Materials.
Posted 10/7/2019 (updated 3/25/2024)
Adopting a Shared Framework for Community Collaboration Webinar and Resources
Posted 12/22/2021 (updated 3/26/2024)
This Rural Health Care Chartbook is part of a family of documents and tools that support the National Healthcare Quality and Disparities Report (NHQDR). The NHQDR includes annual reports to Congress mandated in the Healthcare Research and Quality Act of 1999 (P.L. 106- 129). These reports provide a comprehensive overview of the quality of healthcare received by the general U.S. population and disparities in care experienced by different racial, ethnic, and socioeconomic groups. The reports assess the performance of our health system and identify areas of strength and weakness in the healthcare system along four main axes: access to healthcare, quality of healthcare, disparities in healthcare, and Agency for Healthcare Research and Quality (AHRQ) priority areas. The reports are based on more than 250 measures of quality and disparities covering a broad array of healthcare services and settings. Data are generally available through 2017-2018. The reports are produced with the help of an Interagency Work Group led by AHRQ and submitted on behalf of the Secretary of Health and Human Services (HHS).
Posted 1/25/2022 (updated 3/26/2024)
RCORP-TA is pleased to provide technical assistance resources related to grantee business operations that we have prepared for grantees. RCORP-TA is providing these resources to assist grantees on aspects of their business operations that are continuously impacted and routinely challenged by factors associated with living and working in rural communities. Please see the below linked guidance documents and descriptions as they may be of interest to you.
Posted 2/9/2022 (updated 3/26/2024)
HRSA and JBS have developed guidance to assist your RCORP data collection and Performance Improvement Measurement System (PIMS) reporting efforts. These measures are pending OMB clearance and are subject to revision. This page contains the RCORP data collection resources for the Psychostimulant Support grantees only.
These documents will be updated as new guidance or data sources are identified. We encourage you to bookmark this page so you have the latest version available. Please send any measure-related questions to your HRSA Project Officer or email: rcorp-eval@jbsinternational.com.
Posted 2/21/2022 (updated 3/26/2024)
The opioid epidemic is a result of a complex system of varied and interrelated factors. This webinar will introduce a systems thinking approach and tools to address complex public health challenges. The webinar will provide an overview of systems tools and describe opportunities to develop systems further thinking capacity for application to grantees’ local opioid response.
Posted 6/8/2022 (updated 3/27/2024)
This “Regional Emergency Disaster Response Preparedness Plan for Substance Use Disorder” workshop was designed to provide attendees with information on the importance of developing a plan to support populations with SUD/OUD during a disaster. Attendees heard how community members in rural and small urban communities are working together to ensure services and supports are available to populations with SUD during a disaster.
Posted 3/23/2022 (updated 3/27/2024)
The JBS evaluation team will review and provide guidance on the PIMS measures that are most problematic for grantees and the new PIMS measures that are pending OMB approval. They will also highlight ways that consortiums can use their data dashboards to highlight successes and areas for improvement as they work to obtain funding and motivate and engage stakeholders.
Posted 4/12/2022 (updated 3/27/2024)
OMNI Institute, in partnership with the JBS RCORP-TA team, had five sessions of the Data Learning Collaborative (LC).