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

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Title	An evaluation of two patient classification systems as the determinants of a staffing pattern for medical patients
Author	Chubbs, Judy A.
Description	Thesis (M.N.)--Memorial University of Newfoundland, 1994. Nursing
Date	1994
Pagination	xiii, 154, [1] leaves : ill.
Subject	Hospital patients; Medical care--Cost shifting; Nursing services--Administration; Nursing services--Planning
Degree	M.N.
Degree Grantor	Memorial University of Newfoundland. School of Nursing
Discipline	Nursing
Language	Eng
Notes	Bibliography: leaves 130-138
Abstract	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 (Nil) 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 Nil 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 Nil. Nil scores were significantly correlated with GRASP scores indicating a shared variability of 49%. Regression analysis indicated that seven Nil items explained 55% of the total GRASP score, thus leaving 45% of the variability in nursing workload unexplained. Integration of GRASP and Nil data produced a skill mix ratio of 80 percent RN to 20 percent RNA. However, this ratio was not supported by the perceptions of direct caregivers. Methodological and application problems may have influenced this result. More research is needed to identify other factors that may affect skill mix before firm conclusions can be made. -- Key Words: patient classification system; nursing care time; hours of care; quantity; nursing care complexity; intensity; skill mix; staffing pattern.
Type	Text
Resource Type	Electronic thesis or dissertation
Format	Image/jpeg; Application/pdf
Source	Paper copy kept in the Centre for Newfoundland Studies, Memorial University Libraries
Local Identifier	76221240
Rights	The author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission.
Collection	Electronic Theses and Dissertations
Scanning Status	Completed
PDF File	(18.31 MB) -- http://collections.mun.ca/PDFs/theses/Chubbs_JudyA.pdf
CONTENTdm file name	1334.cpd