OCHIN-ADVANCE Engagement Values, Functions, and Metrics

OCHIN-ADVANCE outlined its priorities and metrics for engagement across patient and caregiver groups in this snapshot. This resource can be used by researchers and other stakeholder groups seeking to improve their level of engagement with patients and caregivers to support a patient-centered research process.

Access the Engagement Values, Functions, and Metrics document

GPC Reusable Observable Study Environment (GROUSE)

GPC Reusable Observable Study Environment (GROUSE): GROUSE is a Greater Plains Collaborative (GPC) project (as well as name of the data enclave) to obtain health insurance claims from the Center for Medicare and Medicaid Services through the Research Data Assistance Center (ResDAC). GPC currently have 2011-2017 Medicare data and 2011-2012 Medicaid data from 9 states in the GPC.

Access GPC’s GROUSE here.

Patient and Stakeholder Engagement Policy

The Research Action for Health Network (REACHnet) Clinical Research Network (CRN) has developed a comprehensive Engagement Policy to advance the mission of PCORI to meaningfully engage patient and other stakeholders in the research process. This document can serve as guidance for stakeholders interested in patient-centered research.

Access the Engagement Policy here.

Ready, Set, Go! Guidelines and Tips For Collecting Patient Data on Sexual Orientation and Gender Identity

This guide can be used to help successfully collect sexual orientation and gender identity (SOGI) data and document the data into the electronic health record (EHR). If you already have a system, but have encountered challenges and questions, this guide can help you address them. Even if your system is working smoothly, you will find resources and recommendations here that will help you move to the next level of data collection and analysis.

Access the guide here.

Scholars Program Processes and Procedures

The PaTH Scholars Program was established to help researchers gain the skills and confidence needed to lead and participate in multi-site “real-world evidence” studies by mentoring and engaging scholars through hands-on participation alongside experienced PaTH researchers. This resource may be adapted by others wanting to create similar programs.

Access the program resource here.

Rapid and Collaborative Response to COVID-19

Researchers responded rapidly and collaboratively to answer COVID-19 questions by using PCORnet resources including a flexible coordinating center, the PCORnet® Common Data Model, research-ready networks, and existing research studies that pivoted quickly. Researchers can use this resource to demonstrate how the resources of PCORnet can be used for studies that require fast answers.

Access the resource here.

How Common are New Symptoms and Conditions After COVID-19? Results from PCORnet

Summary of the CDC’s research on symptoms experienced more than 4 weeks after first being infected with the virus that causes COVID-19. Researchers studied data from electronic health records of 1.8 million adults and 300,000 children from 42 PCORnet network partners.

Access the “Long COVID” Research Summary.

Data Science Analyst Training

The PEDSnet Data Science Analyst course provides training on the structure and use of the PEDSnet CDM for research and approaches to study-specific data quality assessment.

Access the Data Science Analyst course.

Research Ready Training Resources for Staff Engagement

Clinical staff seeking to improve engagement in clinic-based research studies and increase their knowledge of basic research principles can use these training materials and best practices for implementing studies in clinical settings and communicating with clinical support staff. Content and format for the resources were informed by both clinic staff and research team members who conduct studies in clinical settings.

Access the resources here.

NORC Data Convenings Webinar: Expanding Social Determinants of Health Data across PCORnetExpanding Social Determinants of Health Data across PCORnet

The webinar discussed opportunities for social determinants of health (SDOH) data within the PCORnet data infrastructure. Objectives included: discussing the current status of SDOH data collection by PCORnet Network Partners; opportunities to optimize accessibility and availability of individual-, population-, and community-based SDOH data to support PCORnet research; and engaging stakeholders on short- and long-term infrastructure priorities to enhance SDOH data capture for network-wide research.

Access the Social Determinants of Health Data across PCORnet resources here.