Every skilled nursing facility submits staffing data to CMS through the Payroll-Based Journal, or PBJ. That data, drawn from payroll and timekeeping records, feeds the staffing measures that appear on Care Compare and informs the staffing component of the Five-Star Quality Rating System.
Because it is built from records you already keep, PBJ data is something leaders can review internally long before it becomes public. This post explains why that is worth doing and how to approach it. For the exact reporting requirements, refer to CMS materials and your compliance resources.
What PBJ represents
In general terms, PBJ captures hours worked by staff in various roles, tied to dates, along with daily census context. CMS uses it to calculate measures such as staffing hours per resident day for nursing and other categories. Because it is based on actual hours, it offers a more objective view than self-reported staffing statements.
That objectivity cuts both ways. If your records are incomplete, or categories are mapped incorrectly, the data may not reflect the staffing you actually provide.
Why review it internally
- Catch data issues early. Missing hours, mislabeled job categories or incomplete submissions are easier to fix before a reporting deadline.
- See what the public will see. Understanding how your staffing appears on a standardized basis helps you prepare for conversations with families and partners.
- Spot operational patterns. Weekend coverage, shift balance and agency reliance may be visible in PBJ-style data in ways they are not in day-to-day impressions.
- Make timely decisions. Internal monitoring lets you respond to staffing trends during the quarter instead of afterward.
Questions to ask of your data
Is the data complete?
Compare payroll totals and scheduled hours against what is included in your PBJ submission. Large gaps deserve investigation.
Are staff mapped to the right categories?
Job titles in payroll do not always map neatly to PBJ categories. Review mapping periodically, especially when roles change or new positions are created.
How does weekend staffing compare to weekdays?
Weekend coverage is a common area of variation. Looking at hours per resident day by day of week shows whether coverage is consistent.
How reliant are we on contract labor?
Contract and agency hours are part of the picture, and heavy reliance can signal vacancies or retention challenges. Track the share of hours by employment type over time.
How does census affect the numbers?
Because the measures are expressed per resident day, a change in census changes the ratio even if hours stay constant. Look at both together.
Build a quarterly routine
A simple routine can keep you ahead:
- Mid-quarter check: review staffing hours per resident day by role, shift and day of week.
- Pre-submission review: a few days before the deadline, confirm that data is complete and categories are correct.
- Post-submission review: compare your internal numbers to what CMS posts, and document any differences.
Involve the right people
PBJ touches payroll, HR, nursing leadership and administration. Establish clear ownership for data accuracy, and make sure the people who maintain timekeeping systems understand why details matter. A short explanation of how their work connects to public reporting often improves consistency.
A hypothetical example
Imagine a building whose internal review finds that a group of newly hired staff were set up under a job code that did not map to a PBJ category. Because it was caught a few days before submission, the code was corrected and hours were reported accurately. Without the review, the building would have appeared understaffed on paper despite providing the care it planned.
Use the data for care, not only reporting
The deeper value of staffing analytics is operational. Consistent staffing supports residents and reduces strain on employees. Treat PBJ review as a chance to ask whether schedules, retention and recruiting are working as intended.
CarePulse Analytics combines payroll, scheduling and census data into staffing dashboards that mirror the structure of PBJ-style measures, making internal review straightforward. If you would like to see a view built from your own staffing data, we can walk through a demo.