Volume 19, Issue 3 pp. 296-300

The Impact of Patient Aggression on Carers Scale: instrument derivation and psychometric testing

Ian Needham MNSc, PhD, NT, RN (Head of Research Unit)

Ian Needham MNSc, PhD, NT, RN (Head of Research Unit)

University of Applied Science, Fribourg, Switzerland

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Chris Abderhalden MNSc, NT, RN (Head of Nursing and Social Education Research Unit)

Chris Abderhalden MNSc, NT, RN (Head of Nursing and Social Education Research Unit)

University Berne Psychiatric Services, Berne, Switzerland

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Rudolph J.G. Halfens PhD (Associate Professor)

Rudolph J.G. Halfens PhD (Associate Professor)

Faculty of Health Sciences, Universiteit Maastricht, Maastricht, The Netherlands

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Theo Dassen PhD, RN (Professor)

Theo Dassen PhD, RN (Professor)

Department of Nursing Science, Humboldt-University, Berlin, Germany

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Hans-Joachim Haug MD (Professor)

Hans-Joachim Haug MD (Professor)

Schloessli, Private Hospital for Psychiatry and Psychotherapy, Oetwil, Switzerland

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Joachim E. Fischer MSc (Epid), MD (Leader of Research Group)

Joachim E. Fischer MSc (Epid), MD (Leader of Research Group)

Department of Behavioural Science, Swiss Federal Institute of Technology, Zurich, Switzerland

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First published: 09 August 2005
Citations: 30
Ian Needham, University of Applied Science, Route des Cliniques 15, CH-1700 Fribourg, Switzerland.
E-mail: [email protected]

Abstract

Patient aggression towards carers constitutes a problem for patients and carers alike. Patients’ aggressive behaviour often leads to adverse consequences for carers, especially nurses. Various extensive instruments have been developed to measure such adverse effects on carers. The ‘Impact of Patient Aggression on Carers Scale’ (IMPACS) is a short instrument intended for use in monitoring negative consequences of such incidents. The items of the IMPACS were derived basically from a review of the literature on negative effects of patient aggression on nurses. The IMPACS was administered to a convenience sample of nurses working on 14 psychiatric acute admission wards in the German speaking part of Switzerland. Factor analysis led to the exclusion of three of the original items and to an interpretable three-factor solution with all factors demonstrating eigen values higher than 1. The factors demonstrate moderate to good internal consistency. Canonical correlation analysis using the dimensions of the Maslach Burnout Inventory (MBI) produced a correlation coefficient of 0.457, thus demonstrating external reliability. In spite of some caveats such as possible response bias and the necessity of the investigation of the test–retest stability of the scale this study suggests that the IMPACS is a good measure of adverse effects and thus merits further development.

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