false
OasisLMS
Login
Catalog
On-Demand Webinar: MDS 3.0 Quality Measures - Star ...
MDS 3.0 Quality Measures - Start with the Basic In ...
MDS 3.0 Quality Measures - Start with the Basic Ingredients
Back to course
[Please upgrade your browser to play this video content]
Video Transcription
Video Summary
Jesse McGill, Curriculum Development Specialist at APACN, delivered an in-depth webinar on quality measures (QMs) in healthcare, intertwining the topic with his personal sourdough bread-making journey to illustrate key concepts. McGill began by defining the fundamental components of QMs: numerator, denominator, exclusions, and covariates. The denominator includes residents meeting specific criteria for a condition, while the numerator counts those within this group who experience the measured event. Exclusions remove certain residents from the denominator, and covariates adjust for risk factors outside the facility’s control, ensuring fair comparisons of performance.<br /><br />Using examples like falls with major injury and urinary tract infections (UTIs), he explained how different assessments and target periods determine resident inclusion in QM calculations. McGill emphasized the importance of accurate and timely MDS (Minimum Data Set) coding, as errors affect quality reports and subsequent care decisions.<br /><br />He underscored that QMs are reactive, signaling events after they occur, much like an alarm, and stressed the need for root cause analysis to identify contributing factors and improve clinical processes, rather than simply adjusting data. Timely assessments and complete information are crucial for accuracy.<br /><br />Several polls and clinical scenarios highlighted the nuances of determining when residents trigger or stop triggering specific measures, especially in complicated cases like antipsychotic use. McGill addressed common questions about exclusions and covariates, clarifying that exclusions apply narrowly but clinical appropriateness for treatments involves broader judgment.<br /><br />In closing, McGill encouraged focusing on quality improvement through data accuracy, systematic investigation, and individualized care, promoting prevention and better outcomes rather than merely reacting to quality measure triggers.
Keywords
Jesse McGill
Curriculum Development Specialist
APACN
quality measures
QMs
healthcare
numerator
denominator
exclusions
covariates
Minimum Data Set (MDS) coding
×
Please select your language
1
English