SAMPLE DASHBOARD - FACILITY 495241 ONLY

THALIA GARDENS REHABILITATION AND NURSING

CCN 495241 • VA • Comprehensive Staffing Analysis

THALIA GARDENS REHABILITATION AND NURSING

Virginia Beach, VA - Virginia Beach City

Data Range: 2017-2025

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Total Days

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Avg Census

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Total HPRD

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Direct HPRD

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RN HPRD

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Direct RN

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Nurse Aide HPRD

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Contract %

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Days: Total RN < 8

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Days: RN < 8

Previous names (CCN: 495241): Accordius Health at River Pointe Llc, Concordia Transitional Care and Rehab - River Pointe

Single Day Report
Staffing by Time Period

Select filter method:

Option A: Date Range
Option B: Quarters or Years (Choose One)
Additional Filters
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Staffing by Time Period • Use filters above to view data
Position HPRD Ratios Total Hours Zero Count
Mean Median Std Dev Mean Median Std Dev
Statistics calculated from quarterly aggregated data. HPRD = Hours Per Resident Day. Zero Count shows number of quarters with zero hours for each position.
Nursing Staff HPRD Trends
Total Nursing Staff Hours
Click on legend items to show/hide specific metrics. Double-click to isolate one metric.
Resident Census
Contract Staffing %
Provider Info & Ratings
Overall Rating
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Staffing Rating
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Health Inspection
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Ownership
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SFF Status
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Ownership Change
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Data Matching Note: The Provider Info staffing data (reported, case-mix, adjusted, ratings, turnover) is matched to quarter based on payroll-based journal data. Other info such as overall rating, health inspection does not update quarterly but is linked to the quarter matched by PBJ.

Total Staffing: Reported Total vs. Reported Direct vs. Case-Mix vs. Adjusted
RN Staffing: Reported vs. Reported Direct (RN only) vs. Case-Mix vs. Adjusted
Nurse Aide Staffing: Reported vs. Case-Mix vs. Adjusted
Staffing-to-Expected Ratio (SER) - RN and RN Direct
Total Staff and Direct Staff (excl. admin/DON) divided by Case-Mix. Values below 1.0 indicate staffing deficit; above 1.0 indicate surplus.
SER - Total RN & RN Direct
Total RN and RN Direct (excl. admin/DON) divided by Case-Mix. Values below 1.0 indicate staffing deficit; above 1.0 indicate surplus.
Ratings over Time: Overall, Staffing, Health Inspection
Provider Info quarters estimated based on matching staffing data in PBJ dataset. Quarters for non-staffing metrics may not be exact.
Outlier Detection

Detect statistical outliers in the current filtered dataset or across all historical data. Current filter:

Find outliers within the currently filtered data
Find outliers compared to all data (2017-2025)
Daily Data - Thalia Gardens Rehabilitation And Nursing
# Date Day Census Total Staff HPRD Total Staff Hours Nurse Staff HPRD (excl. Admin & DON) Total RN HPRD Total RN Hours Total LPN HPRD Total LPN Hours Nurse Aide HPRD Nurse Aide Hours RN Contract % LPN Contract % Aide Contract % Holiday
Showing 0-0 of 0 records
Quarterly Data - Thalia Gardens Rehabilitation And Nursing
Quarter Census Total HPRD Direct HPRD Total RN HPRD RN HPRD RN Admin HPRD RN DON HPRD
(Avg Hrs/Day) (Avg Hrs/Day) (Avg Hrs/Day) (Avg Hrs/Day) (Avg Hrs/Day) (Avg Hrs/Day)
All values rounded to 2 decimal places. Hours shown are average hours per day.
Case-Mix Acuity Analysis - Thalia Gardens Rehabilitation And Nursing
Quarter Reported HPRD Case-Mix HPRD % CMI (Reported/Case-Mix)
Total Direct RN LPN Nurse Aide Total RN LPN NA Total Direct Total RN Direct RN Total LPN Direct LPN NA
Prov Info PBJ PBJ
(excl admin)		 Prov Info
(Total)		 PBJ
(Total)		 PBJ
(Direct)		 Prov Info
(Total)		 PBJ
(Total)		 PBJ
(Direct)		 Prov Info PBJ
Data Sources: Reported values from both Provider Information files (Prov Info) and PBJ daily records (PBJ). Provider Info matched to PBJ quarters by reported total staffing. Case-Mix values from Provider Information files represent CMS expected staffing based on resident acuity.
% CMI Calculation: (Reported ÷ Case-Mix) × 100. Green (100-110%): Meeting expectations. Orange (90-99%): Below expectations. Red (<90%): Significantly below. Blue (>110%): Above expectations.
Direct Categories: Exclude RN Admin, RN DON, and LPN Admin from calculations. Total Categories: Include all staff in that position type.
Methodology & Definitions
Staff Categories
  • Total Staff: All nursing staff including RNs, LPNs, CNAs, administrators, and DON
  • Direct Staff: Staff providing direct patient care (excludes administrators and DON)
  • Total RN (Registered Nurse): Includes RNs + RN administrators + RN DON (Director of Nursing)
  • Direct RN: Excludes RN Admin, RN DON.
  • LPN (Licensed Practical Nurse): Includes direct care LPNs + LPN administrators
  • Nurse Aides: Includes CNAs + NA trainees + Medication Aides
  • Contract Staff: Temporary/agency staff (marked with "_ctr" suffix)
Calculations
  • HPRD (Hours Per Resident Day): Total hours ÷ Census
  • Contract %: (Contract hours ÷ Total hours) × 100
  • Averages: Weighted by census when applicable
  • Rounding: Financial rounding (ROUND_HALF_UP) for all displayed metrics
  • SER (Staffing-to-Expected Ratio) or % Case-Mix: Reported ÷ CMS Case-Mix. Values below 1.0 indicate staffing deficit relative to CMS benchmark expectations; values above 1.0 indicate surplus staffing. Case-mix is a CMS benchmark for staffing based on resident acuity.
Statistical Analysis
  • Z-Score: (Value - Mean) ÷ Standard Deviation
  • Outlier Detection: |Z-Score| ≥ 2.0 (High), |Z-Score| ≥ 3.0 (Extreme)
  • Percentile: Approximate ranking compared to historical data
  • Holidays: Federal holidays as defined by U.S. government
Data Sources

This Nursing Home Staffing Dashboard uses CMS Payroll-Based Journal (PBJ) data from 2017 to 2025, covering all nursing positions, including contract staff (https://data.cms.gov/quality-of-care/payroll-based-journal-daily-nurse-staffing). CMS first published PBJ data in 2017. It also uses Provider Information datasets from 2018 to 2025 (https://data.cms.gov/provider-data/dataset/4pq5-n9py).

Unlike PBJ data, which is released quarterly, provider info files are published on a rolling monthly basis without a clear reference quarter. To align them with PBJ datasets, we matched the "reported total staffing" metric, which is available in both sources, to the corresponding quarter. This approach is not exact—health inspection data, for example, is updated on a different schedule—but it offers a reasonable best-guess for quarter assignment.