An observational study on the rate of reporting of adverse event on healthcare staff in a mental health setting: an application of Poisson Expectation Maximisation analysis on nurse staffing data

Robert M., Cook and Sarahjane, Jones and Daniel, Worsley and Gemma C., Williams and Ray, Walker and Mark, Radford and Alison, Leary (2019) An observational study on the rate of reporting of adverse event on healthcare staff in a mental health setting: an application of Poisson Expectation Maximisation analysis on nurse staffing data. Health Informatics Journal. (In Press)

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Abstract

Evidence highlights the intrinsic link between nurse staffing and expertise, and outcomes for service users of healthcare, and that workforce retention is linked to the clinical and organisational experiences of employees. However, this understanding is less well established in mental health. This study comprises a retrospective observational study carried out on routinely collected data from a large mental healthcare provider. Two databases comprising nurse staffing levels and adverse events were modelled using latent variable methods to account for the presence of multiple underlying behaviours. The analysis reveals a strong dependence of the rate of adverse events on the location and perceived clinical demand of the wards, and a reduction in adverse events where registered nurses exceed ‘clinically-required levels’. In the first study of its kind, these findings present significant implications for nursing workforce policy and present an opportunity to not only improve safety, but potentially impact nurse retention.

Item Type: Article
Date: 11 August 2019
Subjects: B700 Nursing
G200 Operational Research
G300 Statistics
Divisions: Faculty of Health, Education and Life Sciences > Centre for Social Care, Health and Related Research (C-SHARR) > Quality of Care
Faculty of Health, Education and Life Sciences > School of Nursing and Midwifery
Depositing User: Sarahjane Jones
Date Deposited: 19 Aug 2019 07:29
Last Modified: 19 Aug 2019 07:29
URI: http://www.open-access.bcu.ac.uk/id/eprint/7881

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