title: Market, hospital, and nursing unit characteristics as predictors of nursing unit skill mix: a contextual analysis.
abstract: The objective was to examine the relative contributions of market, hospital, and nursing unit characteristics to the prediction of nursing unit skill mix. The strongest predictors of nursing skill mix were found to be the technological sophistication of the hospital, the volume of services offered, and the percentage of patients covered by managed care payors. The results suggest that skill mix on nursing units is buffered from market forces but is highly sensitive to hospital characteristics. These factors need to be taken into account when decisions are made about the allocation of personnel resources. In this article, the terms "nursing skill mix" and "nurse staffing" are used interchangeably.
authors.affiliation: Department of Integrative Systems, Virginia Commonwealth University, Richmond, USA. bamark@hsc.vcu.edu
authors.forename: B A
authors.initials: BA
authors.lastname: Mark
authors.forename: J
authors.initials: J
authors.lastname: Salyer
authors.forename: T T
authors.initials: TT
authors.lastname: Wan
mesh_terms: D002983:Clinical Competence; D004219:District of Columbia; D004465:Economic Competition; D006276:Health Facility Size; D006279:Health Maintenance Organizations; D006761:Hospitals / Q000706:statistics & numerical data; D006784:Hospitals, Teaching; D009741:Nursing Staff, Hospital / Q000458:organization & administration* / Q000592:standards; D010561:Personnel Staffing and Scheduling; D012044:Regression Analysis; D015144:Southeastern United States; D013781:Texas