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The City-128 study of observation and outcomes

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Background

The City-128 study was designed to assess the contribution of patient, service environment, physical environment, containment usage, staff demography and staff attitudes to rates of self-harm and suicide by patients on acute psychiatric wards.

Methods

Using a multivariate cross-sectional design, data was collected from more than the planned sample of 128 wards in three regions of England. Over 50,000 end of shift reports and more than 10,000 questionnaires were collected during the study. Multilevel modelling was used to analyze the data.

Results

Constant special observation was not related to rates of self-harm, but intermittent observation was associated with reduced self-harm. Ward security policies were not related to self-harm, but locking of the ward door was associated with more self-harm. Some other coercive measures were associated with more self-harm. Admissions during the shift and the types of patient admitted were also influential factors. Greater numbers of qualified nursing staff on duty were associated with reduced self-harm. Many staff factors thought to be important were not associated with self-harm rates.

Conclusion

There were indications that a more liberal psychiatry with more emphasis on patient freedom and responsibility, and less use of containment (with one interesting exception) reduced rates of self-harm. Some significant changes to policy and practice may be required.

Author information

Correspondence to Len Bowers.

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Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Bowers, L. The City-128 study of observation and outcomes. BMC Psychiatry 7, S122 (2007) doi:10.1186/1471-244X-7-S1-S122

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Keywords

  • Multilevel Modelling
  • Security Policy
  • Service Environment
  • Staff Attitude
  • Psychiatric Ward