Childhood Obesity Preventer

As health centers engage with more quality programs through payers, funders, and others there is a pressing need for health center staff to have a foundational understanding of clinical quality measures, quality programs, and how these fit together and fit into the patient care provided in health centers. This learning collaborative was appropriate for health center personnel looking for a simple, foundational understanding of the quality measures and related programs.

Over the course of four structured virtual learning sessions, participants engaged with subject matter experts and their colleagues in peer-to-peer learning and discussion. Topics included: clinical quality programs and clinical quality measures, the anatomy of a clinical quality measure, assessing data alignment, and how to apply these approaches to the health center setting.

Health centers have the power to analyze their UDS data through the HITEQ UDS Clinical Quality Dashboards, which were recently updated with the latest UDS data to include 10 years' worth of clinical information. HITEQ hosted a webinar to learn about the multiple ways that the dashboards can present your organizations’ clinical data across years, and compare it to customized comparison groups of other health centers, to explore potential drivers of results. The HITEQ UDS Clinical Quality Dashboards have evolved and improved each year to provide new analysis options. The Dashboards present the UDS data in a flexible and readily understandable graphical format and deliver an organization-specific version of the content to each health center, HCCN, and PCA via a web interface built on Tableau. Each organization's access allows them to see the data relevant to their center while protecting the data of other organizations.

Health centers, HCCN, and PCAs joined HITEQ to see how the dashboards can provide them with data to answer many questions such as: 

• As a homeless health center, how does our clinical quality compare to homeless health centers nationally?
• As a small health center, which we choose to define as those with <10,000 medical patients, does it appear that our size is a driver of our clinical results compared to other health centers?
• How have the trends in my clinical outcomes over the past 5 years compared to similar health centers in states that I consider relevant to mine?

A brief study of average clicinal quality rates among health centers who report using telehealth compared to those who do not, using data reported on CY2019 UDS. This analysis suggests that the average performance on each clinical quality measure is higher among those health centers who report using telehealth than those who do not use telehealth. 

This Guide provides focused documentation to assist users of NextGen software to improve the process of assessing, documenting, tracking, and following up on colorectal cancer screening. The Guide gives particular attention to assessment of personal and family risk and the tracking and follow-up of screening results that are not addressed in the standard NextGen guidance documents. This work aims to improve health center compliance with HRSA Uniform Data Systems (UDS) colorectal cancer screening (CRCS) through the development and implementation of workflows that produce accurate and reliable structured data and enable proactive outreach and timely follow-up with patients due for CRCS or follow-up testing. This optimization enables health centers to harness broader evidence-based strategies to improve CRCS compliance, and ultimately, health outcomes.

Does your agency’s UDS report accurately reflect the work you do for depression screening and other behavioral health integration activities? Join this webinar to learn strategies and steps your team can use to make the most of the EHR to support improved health outcomes for your patients. Gain insight from a health technology expert and practical tips from an agency who learned to make their EHR a true part of the team to improve UDS depression measures through inputting and analyzing depression screening data from the EHR.

This tool is intended to aid grantees in their reporting of the clinical measures reported on UDS Tables 6B and 7. There is a separate data entry sheet included in this spreadsheet for each of the clinical measures which permit for a sample.  In addition, this tool contains output forms which can be used for data entry into the UDS form (in the EHB) and a summary of the results.