Sample Insights from the Oregon Long-Term Care Performance Analysis
Below is a limited preview of the types of insights developed for the Oregon Long-Term Care Performance Report. All findings are derived from publicly available CMS datasets and standardized federal reporting sources.
The purpose of these LTC Intel reports is to support improved resident care by providing clear, data-driven insight into staffing, quality, and operational patterns across the state’s long-term care facilities.
The examples below are high-level and illustrative. Individual facility benchmarking, detailed comparisons, and full analytical context are available only in the complete reports.
What the Data Shows at a Statewide Level
Staffing Patterns Vary Meaningfully Across Oregon
Reported nursing staffing levels differ substantially across Oregon long-term care facilities. While some facilities consistently report higher nursing hours per resident day, others operate below statewide norms, even among facilities that appear similar at a glance.
These differences are not evenly distributed and become more apparent when staffing data is viewed in aggregate rather than facility by facility.
Overall Star Ratings Do Not Always Reflect Staffing Intensity
CMS overall star ratings provide a useful public snapshot of facility performance. However, when reported staffing hours are examined alongside these ratings, important distinctions emerge.
In the Oregon data, some facilities with higher overall star ratings report total nursing hours per resident day below the statewide median. In several cases, overall ratings remain elevated while staffing ratings or reported staffing levels are comparatively lower.
This reflects how CMS ratings are constructed and updated and highlights the importance of viewing staffing data in context rather than relying on summary ratings alone.
Staffing Signals Can Precede Other Performance Changes
Staffing measures often shift more quickly than inspection outcomes or quality measure scores. As a result, staffing trends may serve as early indicators of operational pressure before changes appear in other publicly reported domains.
Identifying these patterns at a statewide level helps distinguish isolated fluctuations from broader workforce challenges.
Why These Insights Are Important
Statewide analysis provides context that individual facility data cannot offer on its own.
- Administrators gain perspective on how their staffing compares to regional norms.
- Consultants and advisors can identify emerging risk signals earlier.
- Investors and analysts can assess consistency across facilities and ownership structures.
- Researchers and advocates can better understand systemic workforce pressures.
Looking beyond single metrics allows for a more accurate understanding of operational conditions and potential risk areas.
What’s Included in the Full Reports
The complete Oregon Long-Term Care Performance Report expands on these themes with county-level staffing comparisons and distribution patterns, workforce stability indicators and staffing variability analysis, deficiency and enforcement pattern review, ownership and chain-level performance context, and clear methodology notes and data limitations.
Individual facility and chain ownership reports provide deeper benchmarking and comparative analysis not shown here.
Data Sources and Methodology (Summary)
All insights are based on CMS-reported data, including Five-Star Rating information and reported nursing staffing hours. Data is cleaned, standardized, and analyzed to identify patterns and trends rather than isolated data points.
Detailed methodology and data notes are included in all full reports.
Next Steps
To explore these findings in greater depth, view the available reports.
Oregon Statewide Performance Report
Individual Facility Performance Reports
Chain Ownership Performance Reports
At their core, these reports exist to support better resident care by helping leaders, advisors, and advocates identify patterns that impact safety, quality of life, and workforce stability.