The relationship between nurse staffing levels and objective and subjective quality of care: A panel data approach for Germany

Boris Augurzky, Christian Bünnings and Ansgar Wübker ()

No 724, Ruhr Economic Papers from RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen

Abstract: In this study we investigate the relationship between nursing staffing levels and hospital quality in Germany. We use administrative data from almost all German hospitals from 2002 to 2013 and link it to mortality rates and patient satisfaction measures. To analyze the association between nursing staffing levels and hospital quality indicators empirically, we estimate linear regression models and control for a wide range of hospital and patient characteristics that might bias the results. In addition, we exploit the longitudinal structure of the data and rule out potential bias due to time-invariant unobserved heterogeneity. The estimation results indicate a positive relationship between nurse staffing levels and hospital quality for both subjective and objective quality measures. Increasing nurse staffing levels by 10 percent reduces the mortality rate by 0.05 percent and increases patient satisfaction by around 0.7 percent, on average. Although we find some of these relationships to be statistically significant, at least marginally, the absolute magnitudes of the estimated coefficients are rather small.

Keywords: Hospital quality; nurse staffing; patient satisfaction; mortality rate (search for similar items in EconPapers)
JEL-codes: C23 I11 I18 (search for similar items in EconPapers)
Date: 2017
New Economics Papers: this item is included in nep-eff, nep-eur and nep-hea
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:zbw:rwirep:724

DOI: 10.4419/86788844

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