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      Envisioning a safety paradigm in inpatient mental health settings: Moving beyond zero-risk approaches

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      SSM - Mental Health
      Elsevier BV

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          Evolution of public attitudes about mental illness: a systematic review and meta-analysis.

          To explore whether the increase in knowledge about the biological correlates of mental disorders over the last decades has translated into improved public understanding of mental illness, increased readiness to seek mental health care and more tolerant attitudes towards mentally ill persons. A systematic review of all studies on mental illness-related beliefs and attitudes in the general population published before 31 March 2011, examining the time trends of attitudes with a follow-up interval of at least 2 years and using national representative population samples. A subsample of methodologically homogeneous studies was further included in a meta-regression analysis of time trends. Thirty-three reports on 16 studies on national time trends met our inclusion criteria, six of which were eligible for a meta-regression analysis. Two major trends emerged: there was a coherent trend to greater mental health literacy, in particular towards a biological model of mental illness, and greater acceptance of professional help for mental health problems. In contrast, however, no changes or even changes to the worse were observed regarding the attitudes towards people with mental illness. Increasing public understanding of the biological correlates of mental illness seems not to result in better social acceptance of persons with mental illness. © 2012 John Wiley & Sons A/S.
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            The experience of recovery from schizophrenia: towards an empirically validated stage model

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              Safewards: a new model of conflict and containment on psychiatric wards

              Accessible summary Rates of violence, self-harm, absconding and other incidents threatening patients and staff safety vary a great deal by hospital ward. Some wards have high rates, other low. The same goes for the actions of staff to prevent and contain such incidents, such as manual restraint, coerced medication, etc. The Safewards Model provides a simple and yet powerful explanation as to why these differences in rates occur. Six features of the inpatient psychiatric system have the capacity to give rise to flashpoints from which adverse incidents may follow. The Safewards Model makes it easy to generate ideas for changes that will make psychiatric wards safer for patients and staff. Abstract Conflict (aggression, self-harm, suicide, absconding, substance/alcohol use and medication refusal) and containment (as required medication, coerced intramuscular medication, seclusion, manual restraint, special observation, etc.) place patients and staff at risk of serious harm. The frequency of these events varies between wards, but there are few explanations as to why this is so, and a coherent model is lacking. This paper proposes a comprehensive explanatory model of these differences, and sketches the implications on methods for reducing risk and coercion in inpatient wards. This Safewards Model depicts six domains of originating factors: the staff team, the physical environment, outside hospital, the patient community, patient characteristics and the regulatory framework. These domains give risk to flashpoints, which have the capacity to trigger conflict and/or containment. Staff interventions can modify these processes by reducing the conflict-originating factors, preventing flashpoints from arising, cutting the link between flashpoint and conflict, choosing not to use containment, and ensuring that containment use does not lead to further conflict. We describe this model systematically and in detail, and show how this can be used to devise strategies for promoting the safety of patients and staff.
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                Author and article information

                Contributors
                Journal
                SSM - Mental Health
                SSM - Mental Health
                Elsevier BV
                26665603
                June 2024
                June 2024
                : 5
                : 100315
                Article
                10.1016/j.ssmmh.2024.100315
                f8830a13-55aa-4f7a-a3f5-b7f073313dd4
                © 2024

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://www.elsevier.com/legal/tdmrep-license

                http://creativecommons.org/licenses/by-nc/4.0/

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