Toggle Main Menu Toggle Search

Open Access padlockePrints

Association between provision of mental illness beds and rate of involuntary admissions in the NHS in England 1988-2008: ecological study

Lookup NU author(s): Dr Patrick Keown, Emeritus Professor Jan Scott


Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Objective To examine the rise in the rate of involuntary admissions for mental illness in England that has occurred as community alternatives to hospital admission have been introduced. Design Ecological analysis. Setting England, 1988-2008. Data source Publicly available data on provision of beds for people with mental illness in the National Health Service from Hospital Activity Statistics and involuntary admission rates from the NHS Information Centre. Main outcome measures Association between annual changes in provision of mental illness beds in the NHS and involuntary admission rates, using cross correlation. Partial correlation coefficients were calculated and regression analysis carried out for the time lag (interval) over which the largest association between these variables was identified. Results The rate of involuntary admissions per annum in the NHS increased by more than 60%, whereas the provision of mental illness beds decreased by more than 60% over the same period; these changes seemed to be synchronous. The strongest association between these variables was observed when a time lag of one year was introduced, with bed reductions preceding increases in involuntary admissions (cross correlation -0.60, 95% confidence interval -1.06 to -0.15). This association increased in magnitude when analyses were restricted to civil (non-forensic) involuntary admissions and non-secure mental illness beds. Conclusion The annual reduction in provision of mental illness beds was associated with the rate of involuntary admissions over the short to medium term, with the closure of two mental illness beds leading to one additional involuntary admission in the subsequent year. This study provides a method for predicting rates of involuntary admissions and what may happen in the future if bed closures continue.

Publication metadata

Author(s): Keown P, Weich S, Bhui KS, Scott J

Publication type: Article

Publication status: Published

Journal: British Medical Journal

Year: 2011

Volume: 343

Print publication date: 05/07/2011

ISSN (print): 0959-535X

ISSN (electronic): 1468-5833

Publisher: BMJ Group


DOI: 10.1136/bmj.d3736


Altmetrics provided by Altmetric