Journal Article10.1377/HLTHAFF.2018.05322
Daily Nursing Home Staffing Levels Highly Variable, Often Below CMS Expectations
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TL;DR: New payroll-based data reveal large daily staffing fluctuations, low weekend staffing, and daily staffing levels often below the expectations of the Centers for Medicare and Medicaid Services (CMS).
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Abstract: Staffing is an important quality measure that is included on the federal Nursing Home Compare website. New payroll-based data reveal large daily staffing fluctuations, low weekend staffing, and daily staffing levels often below the expectations of the Centers for Medicare and Medicaid Services (CMS). These data provide a more accurate and complete staffing picture for CMS and consumers.
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References
Physician and Nurse Staffing in Nursing Homes: The Role and Limitations of the Online Survey Certification and Reporting (OSCAR) System
TL;DR: The OSCAR data are useful for exploring relationships between staffing and various quality of care outcomes, but may not be accurate enough on a case-specific basis, or to determine policy regarding minimal staffing levels using average nurse hours per patient day measures.
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Medicare program; prospective payment system and consolidated billing for skilled nursing facilities for FY 2009. Final rule.
TL;DR: This final rule updates the payment rates used under the prospective payment system for skilled nursing facilities (SNFs) for fiscal year (FY) 2008 and revises and rebases the SNF market basket, and modifies the threshold for the adjustment to account for market basket forecast error.
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Comparing Staffing Levels in the Online Survey Certification and Reporting (OSCAR) System with the Medicaid Cost Report Data: Are Differences Systematic?
TL;DR: A study to assess the validity of the Online Survey Certification and Reporting (OSCAR) staffing data by comparing them to staffing measures from audited Medicaid Cost Reports and to identify systematic differences between facilities that over-report or underreport staffing in the OSCAR.
Nursing Home Staffing and Its Relationship to Deficiencies
TL;DR: Facility characteristics and states were stronger predictors of deficiencies than were staffing hours and resident characteristics, and much work remains to explore factors that influence deficiencies.
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