title: Exploring the links between macro-level contextual factors and their influence on nursing workforce composition.
abstract: Research that links macro-level socioeconomic development variables to health care human resources workforce composition is scarce at best. The purpose of this study was to explore the links between nonnursing factors and nursing workforce composition through a secondary, descriptive analysis of year 2000, publicly available national nursing human resources data from Mexico. Building on previous research, the authors conducted multiple robust regression analysis by federal typing of nursing human resources from 31 Mexican states against macro-level socioeconomic development variables. Average education in a state was significantly associated in predicting all types of formally educated nurses in Mexico. Other results suggest that macro-level indicators have a different association with each type of nurse. Context may play a greater role in determining nursing workforce composition than previously thought. Further studies may help to explain differences both within and between countries.
authors.affiliation: New York University, New York, NY, USA. aps6@nyu.edu
authors.forename: Allison
authors.initials: A
authors.lastname: Squires
authors.forename: Hiram
authors.initials: H
authors.lastname: Beltrán-Sánchez
mesh_terms: D057217:Economic Development; D004506:Education, Nursing; D004522:Educational Status; D006801:Humans; D008800:Mexico; D009726:Nurses / Q000145:classification / Q000600:supply & distribution*; D012959:Socioeconomic Factors