Comparison of patient classification systems for dimensioning nursing staff.
Jéssica Azevedo Guardalupe, Ivana Duarte Brum, Débora Francisco do Canto and 3 others
PMID 37703470WHAT IT FOUND
Using two different patient classification systems on the same 260 patients produced very different nursing staff projections.
One system predicted a surplus of 7 staff, while the other predicted a deficit of 7, showing that the choice of tool directly changes staffing decisions.
Key findings
01The choice of patient classification system significantly altered the projected nursing staff numbers, with one system predicting a surplus of 7 staff and the other predicting a deficit of 7 staff compared to the actual team.
02The two systems classified the same patients into different levels of care dependency, with one system categorizing the majority as requiring minimum care and the other categorizing the majority as requiring intermediate care.
03The study does not indicate that one classification system is more accurate than the other, but rather that the specific activities included in each tool drive different workload calculations.
STILL TO COME
How it was doneWhat they foundWhat it means for RNs
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What it does not show
The study was conducted in a single medical inpatient unit, so the results may not apply to other types of units or hospitals. The researchers did not measure how much time it took to perform the classifications using each tool. The study did not determine which classification system is more accurate or preferred, only that they produce different results. Data on staff absences were not included, which could have influenced the staffing calculations.
The easy way to misread this
Do not conclude that one classification system is better or more accurate than the other based on this study. The paper shows that the systems differ in what activities they include, not that one is objectively superior.