Nursing home staffing information on CMS Care Compare is built from data that facilities submit through the Payroll-Based Journal, or PBJ. The data comes from payroll and time-keeping records, which means the staffing picture the public sees is derived from information your building already holds.
That creates an opportunity. If you review your own staffing patterns regularly using the same kind of data, you can see what CMS will see, well before it appears on a public page.
What PBJ is, in general terms
PBJ is a system through which long-term care facilities submit staffing data based on payroll and other verifiable records. It captures hours worked by different staff categories, along with census information, and is used to calculate staffing measures that inform the staffing portion of public ratings.
You do not need to be an expert on every technical detail to benefit from the idea. What matters is that staffing information flows from your internal records to a public rating, so the quality and consistency of those records matter.
Why internal review pays off
No surprises
If a staffing trend is developing, you will see it internally long before a rating changes. That gives leaders time to respond.
Data quality checks
Internal review helps catch problems in how hours are recorded, such as mislabeled job categories, missing time entries or inconsistent practices between units. Fixing these at the source is easier than correcting them after submission.
Better conversations
When administrators, DONs and finance share a common view of staffing hours, discussions about budget, hiring and scheduling become more grounded.
What to review
Hours per resident day
A familiar measure of staffing intensity, calculated by dividing hours worked by the resident census for each day. Reviewing it by staff category and over time reveals patterns.
Weekend versus weekday
Many buildings see a difference between weekday and weekend staffing. A view that separates them shows whether coverage is consistent. This matters for residents and also for how staffing appears in aggregate data.
Days with very low staffing
Looking at individual days, not only averages, can reveal specific dates when coverage was thin. These are worth understanding, even if the average looks healthy.
Staff turnover and tenure
Staffing hours do not tell you whether the team is stable. Pair hours with turnover and tenure to see whether you are relying on short-term or agency staff.
Contract and agency hours
Understanding how much of your staffing comes from outside sources helps leaders plan and budget, and complements the hours view.
Check the underlying records
A few data hygiene steps can make internal review more reliable:
- Job code mapping. Confirm that job titles in payroll map correctly to staffing categories.
- Time clock consistency. Check that hours are captured through consistent processes across departments.
- Census alignment. Make sure daily census used in calculations matches your records.
- Timeliness. Review data at least monthly, not only around submission deadlines.
- Documentation of exceptions. Note unusual events, such as a system outage, that explain gaps.
Make it a leadership habit
A monthly staffing review with the administrator, DON, scheduler and finance lead is a good rhythm. Bring a one-page view with hours per resident day trends, weekend and weekday comparisons, low-staffing days, overtime and agency use. Ask:
- Where are we trending compared with the last quarter?
- Which days or shifts concern us?
- What is driving any change?
- What can we do in the next month?
Keep the focus on residents
Staffing data is not only a rating input. It reflects how many people are available to care for residents each day. Using it to guide hiring, scheduling and retention decisions keeps attention on what matters, which is the daily experience of residents and the people who care for them.
Avoid pitfalls
- Managing to a number. Hours on paper are not a substitute for appropriate staffing in practice. Use the data to understand reality, not to decorate it.
- Ignoring skill mix. Total hours matter, but so does who is providing them.
- Looking only at averages. Individual days and shifts tell a fuller story.
- Waiting for a rating change. Public updates lag, and internal views can lead.
Where analytics helps
CarePulse combines payroll, scheduling and census data into staffing views that mirror how public measures are built, alongside call-light and quality trends. If you would like to see your own staffing patterns in that kind of view, we are glad to arrange a demo.