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Cited by 377

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

The link between the management of employees and patient mortality in acute hospitals

West, Michael A., Borrill, Carol, Dawson, Jeremy, Scully, Judy, Carter, Matthew, Anelay, Stephen, Patterson, Malcolm, Waring, Justin·2002·The International Journal of Human Resource Management

Abstract

The relationship between human resource management practices and organizational performance (including quality of care in health-care organizations) is an important topic in the organizational sciences but little research has been conducted examining this relationship in hospital settings. Human resource (HR) directors from sixty-one acute hospitals in England (Hospital Trusts) completed questionnaires or interviews exploring HR practices and procedures. The interviews probed for information about the extensiveness and sophistication of appraisal for employees, the extent and sophistication of training for employees and the percentage of staff working in teams. Data on patient mortality were also gathered. The findings revealed strong associations between HR practices and patient mortality generally. The extent and sophistication of appraisal in the hospitals was particularly strongly related, but there were links too with the sophistication of training for staff, and also with the percentages of staff working in teams.

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Crossref · 10.1080/09585190210156521

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Metadata

Authors
West, M. A., Borrill, C., Dawson, J., Scully, J., Carter, M., Anelay, S., Patterson, M., & Waring, J.
Venue
The International Journal of Human Resource Management
Published
2002-01
Volume
13
Issue
8
Pages
1299-1310
ISSN
  • 0958-5192 (ISSN-L)
  • 1466-4399
OpenAlex
W2164813287
Cited by
377
References
1
FWCI
39.13
Type
journal article
Language
en
Open access
closed

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.