Improving the Ability to Detect the Impact of Labor on Patient Outcomes

A key part of resource allocation decisions is determining the impact of staffing on clinical outcomes. A national study involving eight hospitals and 77 units lends support for a previously identified labor assignment phenomena that may contribute to an underestimation of the impact of nursing labo...

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Published in:	The Journal of nursing administration Vol. 28; no. 12; pp. 17 - 21
Main Authors:	Minnick, Ann Fenley, Pabst, Mary K.
Format:	Journal Article
Language:	English
Published:	United States Lippincott Williams & Wilkins 01-12-1998 Lippincott Williams & Wilkins, Inc
Subjects:	Health Care Rationing Humans Inpatients - classification Needs Assessment - standards Nurse Administrators Nursing Nursing Administration Research Nursing Staff, Hospital - supply & distribution Nursing, Supervisory Outcome Assessment (Health Care) Personnel Staffing and Scheduling - standards United States Workload - statistics & numerical data United States
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Abstract	A key part of resource allocation decisions is determining the impact of staffing on clinical outcomes. A national study involving eight hospitals and 77 units lends support for a previously identified labor assignment phenomena that may contribute to an underestimation of the impact of nursing labor on outcomes if only traditional labor measurement methods are used. The authors suggest actions for nurse administrators and researchers who must address frequent queries as to the adequacy of nursing staffing.
AbstractList	A key part of resource allocation decisions is determining the impact of staffing on clinical outcomes. A national study involving eight hospitals and 77 units lends support for a previously identified labor assignment phenomena that may contribute to an underestimation of the impact of nursing labor on outcomes if only traditional labor measurement methods are used. The authors suggest actions for nurse administrators and researchers who must address frequent queries as to the adequacy of nursing staffing.
Author	Pabst, Mary K. Minnick, Ann Fenley
AuthorAffiliation	Ann Fenley Minnick, PhD, RN, FAAN, Associate Dean, Research and Support Services, Professor and Independence Chair, e-mail: aminnick@cnis.rpslmc.edu Mary K. Pabst, PhD, RN, Coordinator, Professional Education, e-mail: mpabst@cnis.rpslmc.edu, College of Nursing, Rush University, Chicago, Illinois
AuthorAffiliation_xml	– name: Ann Fenley Minnick, PhD, RN, FAAN, Associate Dean, Research and Support Services, Professor and Independence Chair, e-mail: aminnick@cnis.rpslmc.edu Mary K. Pabst, PhD, RN, Coordinator, Professional Education, e-mail: mpabst@cnis.rpslmc.edu, College of Nursing, Rush University, Chicago, Illinois
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References	Kobs (R8-9) 1997; 28 Hernandez (R7-9) 1996; 9 Aiken (R3-9) 1994; 32 Minnick (R5-9) 1997; 35 Knaus (R4-9) 1986; 104
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SubjectTerms	Health Care Rationing Humans Inpatients - classification Needs Assessment - standards Nurse Administrators Nursing Nursing Administration Research Nursing Staff, Hospital - supply & distribution Nursing, Supervisory Outcome Assessment (Health Care) Personnel Staffing and Scheduling - standards United States Workload - statistics & numerical data
Title	Improving the Ability to Detect the Impact of Labor on Patient Outcomes
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