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The Impact of Staff Turnover and Staff Density on Treatment Quality in a Psychiatric Clinic

Overview of attention for article published in Frontiers in Psychology, March 2016
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Title
The Impact of Staff Turnover and Staff Density on Treatment Quality in a Psychiatric Clinic
Published in
Frontiers in Psychology, March 2016
DOI 10.3389/fpsyg.2016.00457
Pubmed ID
Authors

Wolfram A. Brandt, Christoph J. Bielitz, Alexander Georgi

Abstract

Intuition suggests that improving stability of the health workforce brings benefits to staff, the organization and, most importantly, the patients. Unfortunately, there is limited research available to support this, and how health workforce stability can contribute to reduced costs and better treatment outcomes. To help to rectify this situation, we investigated the effects of staff turnover and staff density (staff members per patient) on the treatment outcome of inpatients in a psychiatric clinic. Our data come from the standard assessment of 1429 patients who sought treatment in our clinic from January 2011 to August 2013. Correlation analysis shows no significant effect of raw staff turnover (the total number of psychiatrists, physicians and psychologists starting or quitting work per month) on treatment quality. However, we do find two significant beneficial effects: first, a higher staff consistency (time without staff turnover) and second, a higher staff density lead to an improvement of treatment quality. Our findings underline the dire need for an extended effort to achieve optimal staff retention, both to improve patient's outcomes and to reduce health expenses.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 549 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 549 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 1%
Student > Ph. D. Student 7 1%
Student > Bachelor 4 <1%
Student > Doctoral Student 3 <1%
Researcher 3 <1%
Other 7 1%
Unknown 517 94%
Readers by discipline Count As %
Nursing and Health Professions 6 1%
Medicine and Dentistry 6 1%
Business, Management and Accounting 5 <1%
Computer Science 2 <1%
Psychology 2 <1%
Other 11 2%
Unknown 517 94%