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; Sarahjane Jones; Gemma C. Williams; Daniel Worsley; Ray Walker; Mark Radford; Alison Leary

doi:10.1177/1460458219874637

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
, Sarahjane Jones^*
, Gemma C. Williams
, Daniel Worsley
, Ray Walker
, Mark Radford
, Alison Leary

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

11 Citations (SciVal)

Original language	English
Pages (from-to)	1333-1346
Number of pages	14
Journal	Health Informatics Journal
Volume	26
Issue number	2
DOIs	https://doi.org/10.1177/1460458219874637
Publication status	Published (VoR) - 1 Jun 2020

Keywords

count regression
nurse staffing
retention
safety
workforce

Access to Document

10.1177/1460458219874637

Cite this

Cook, R. M., Jones, S., Williams, G. C., Worsley, D., Walker, R., Radford, M., & Leary, A. (2020). 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, 26(2), 1333-1346. https://doi.org/10.1177/1460458219874637

@article{9293118e5ec0446a9458f0fb9b3a5fd1,

title = "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",

keywords = "count regression, nurse staffing, retention, safety, workforce",

author = "Cook, \{Robert M.\} and Sarahjane Jones and Williams, \{Gemma C.\} and Daniel Worsley and Ray Walker and Mark Radford and Alison Leary",

note = "Publisher Copyright: {\textcopyright} The Author(s) 2019.",

year = "2020",

month = jun,

day = "1",

doi = "10.1177/1460458219874637",

language = "English",

volume = "26",

pages = "1333--1346",

journal = "Health Informatics Journal",

issn = "1460-4582",

publisher = "SAGE Publications",

number = "2",

}

Cook, RM, Jones, S, Williams, GC, Worsley, D, Walker, R, Radford, M & Leary, A 2020, '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, vol. 26, no. 2, pp. 1333-1346. https://doi.org/10.1177/1460458219874637

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. / Cook, Robert M.; Jones, Sarahjane; Williams, Gemma C. et al.
In: Health Informatics Journal, Vol. 26, No. 2, 01.06.2020, p. 1333-1346.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - An observational study on the rate of reporting of adverse event on healthcare staff in a mental health setting

T2 - An application of Poisson expectation maximisation analysis on nurse staffing data

AU - Cook, Robert M.

AU - Jones, Sarahjane

AU - Williams, Gemma C.

AU - Worsley, Daniel

AU - Walker, Ray

AU - Radford, Mark

AU - Leary, Alison

N1 - Publisher Copyright: © The Author(s) 2019.

PY - 2020/6/1

Y1 - 2020/6/1

KW - count regression

KW - nurse staffing

KW - retention

KW - safety

KW - workforce

UR - https://www.scopus.com/pages/publications/85074032681

UR - https://www.scopus.com/pages/publications/85074032681#tab=citedBy

U2 - 10.1177/1460458219874637

DO - 10.1177/1460458219874637

M3 - Article

C2 - 31581927

AN - SCOPUS:85074032681

SN - 1460-4582

VL - 26

SP - 1333

EP - 1346

JO - Health Informatics Journal

JF - Health Informatics Journal

IS - 2

ER -

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

Keywords

Access to Document

Other files and links

Fingerprint

Cite this