An evaluation of two patient classification systems as the determinants of a staffing pattern for medical patients

TL;DRAbstract

A descriptive correlational study was conducted to (a) assess the psychometric properties of two patient classification systems, (b) explore the relationship between nursing care time and intensity and (c) integrate nursing care time and intensity data to predict a staffing pattern. Seventy-one medical patients representing 373 patient days constituted the sample. The Nursing Intensity Index (NII) and the GRASP instruments were used for data collection. Descriptive and inferential statistics were used for data analysis. -- High internal consistency and inter rater reliability were demonstrated for both the NII and GRASP. Factor analysis generated nine factors to explain 73.6% of the variance in GRASP and three factors to explain 59.4% of the variance in the NII. NII scores were significantly correlated with GRASP scores indicating a shared variability of 49%. Regression analysis indicated that seven NII items explained 55% of the total GRASP score, thus leaving 45% of the variability i

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