Childhood Obesity Preventer

The Performance Measure Data Definition Worksheet can be used during the Quality Improvement (QI) process to assess the alignment of your health center’s workflows and documentation and your EHR vendor’s reporting logic processes.
The Office of the National Coordinator for Health Information Technology (ONC) EHR Certification criteria requires EHR vendors to use eCQM (electronic Clinical Quality Measure) specifications to define measures. Therefore, reported data for a measure should be consistent regardless of EHR vendor. In practice, however, it is important to confirm that your EHR vendor’s reporting logic is consistent with your health center’s definition and workflows, and vice versa, as outlined in this worksheet.

Excel-based Data Validation Tool for health centers to validate their 2021 UDS clinical quality measure reporting of Diabetes Control (HbA1C > 9%) measure on Table 7. Video and written instructions are provided. 

Excel-based Data Validation Tool for health centers to validate their 2021 UDS clinical quality measure reporting of that Weight Assessment and Counseling for Nutrition and Physical Activity for Children and Adolescents measure. Video and written instructions are provided. 

This video is to assist health centers and health center program stakeholders access and read the eCQM specifications in order to support clinical quality measure reporting on the Uniform Data System (UDS).

HITEQ's AirTable interactive PCMH Support Tool is intended to help health centers gauge track and support their transformation process for achieving PCMH recognition.

Drawing on recently published research from Agency for Healthcare Research and Quality’s EvidenceNOW initiative, Dr. Samuel Edwards shared insights for primary care practices seeking to assess and address provider burnout. Dr. Edwards highlighted associations between the use of quality improvement strategies, EHR capabilities, and satisfaction among practices with zero-burnout versus high-burnout. Key, and sometimes surprising, takeaways regarding leadership, workplace environment and culture, EHR use, and more from this research were discussed.

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.

As of CDC's 2017 National Diabetes Statistics Report, 30.3 million people, or 9.4% of the total U.S. population, have diabetes. Of these 30.3 million, only 23.1 million are diagnosed—while the other estimated 7.2 million are undiagnosed. Additionally, more than 1 in 3 adults or 84.1 million people in the U.S. have prediabetes, including nearly half of people age 65 and older. According to 2018 UDS data, an estimated 15.1% of Federally Qualified Health Center patients nationwide have diabetes, an increase over recent years. Of these approx. 2.4 million plus patients living with diabetes, approximately 33% have uncontrolled diabetes, with HbA1c equal to or above 9% or have had no test in the year. This has remained relatively stable since 2016. These statistics bring forth the need for improvement in the care of diabetes; several resources and research outcomes are profiled here with specific takeaways for health centers.

This resource outlines specific guidance for optimizing EHRs and health IT tools commonly used by health centers to support the monitoring, reporting, and addressing childhood obesity.

This simple Excel file dashboard was shared by an existing FQHC and is used to depict performance on UDS measures over time.

This can be used to communicate with staff or monitor performance on UDS measures, and can be modified for use with other measures. There is also a tab with some real world advice on creating and using basic data monitoring dashboards included on the first tab.