Literature DB >> 30144947

Work hour constraints in the German nursing workforce: A quarter of a century in review.

Mohamad Alameddine1, Steffen Otterbach2, Bayan Rafii3, Alfonso Sousa-Poza4.   

Abstract

BACKGROUND: Work hour constraints (WHC), or the mismatch between desired and actual worktime, can negatively affect work productivity, job satisfaction, worker health and job fluctuations.
OBJECTIVES: This study analyzes the WHC trends in the German nursing market between 1990 and 2015.
METHODS: Using data from 25 waves (1990-1995 and 1997-2015) of the German Socio-Economic Panel, the contractual, actual, and desired worktime among a representative sample of German nurses (N = 6493) were analyzed. The trends in over/underemployment for full and part-time nurses and the modalities/trends in overtime compensation were analyzed. A Blinder-Oaxaca decomposition was used to explain changes in worktime.
RESULTS: Although German nurses' actual and contractual work hours decreased substantially between 1990 and 2015, their desired work hours remained stable (31 h/week), precipitating a persistent gap between actual and desired work hours and an ongoing reliance on overtime. For full-time nurses, the actual work hours consistently exceeded the contracted ones by 3-6 hours. For part-time nurses, the actual and desired work hours have remained very similar, indicating ability to control workforce participation.
CONCLUSIONS: WHC remained persistently high over the quarter century studied, with overemployment affecting nearly half of the nursing workforce. Overemployment, resulting primarily from overtime, was high among full-time nurses. Study findings could guide the formulation of programs to optimize German nursing workforce participation.
Copyright © 2018 Elsevier B.V. All rights reserved.

Keywords:  Germany; Nurses; Retention; Work hours; Workforce participation

Mesh:

Year:  2018        PMID: 30144947     DOI: 10.1016/j.healthpol.2018.07.023

Source DB:  PubMed          Journal:  Health Policy        ISSN: 0168-8510            Impact factor:   2.980


  2 in total

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