The Nordic comparative study on sectorized psychiatry: rates of compulsory care and use of compulsory admissions during a 1-year follow-up

Hansson, Lars; Muus, S; Saarento, O; Vinding, H R; Göstas, G; Sandlund, Mikael; Zandrén, T; Øiesvold, Terje

doi:10.1007/s001270050118

Cited by 35 publications

(19 citation statements)

References 11 publications

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“…This is a known limitation within predictive machine learning. However, since the use of coercive measures appears to be quite dependent on local conditions , we do not believe that a universally functioning model can be developed. Rather, the purpose of this study was to investigate whether prediction of MR was possible using the wealth of information, which is registered in electronic health records at psychiatric hospitals.…”

Section: Discussionmentioning

confidence: 99%

Predicting mechanical restraint of psychiatric inpatients by applying machine learning on electronic health data

Danielsen

Fenger

Østergaard

et al. 2019

Acta Psychiatr Scand

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Objective Mechanical restraint (MR) is used to prevent patients from harming themselves or others during inpatient treatment. The objective of this study was to investigate whether incident MR occurring in the first 3 days following admission could be predicted based on analysis of electronic health data available after the first hour of admission. Methods The dataset consisted of clinical notes from electronic health records from the Central Denmark Region and data from the Danish Health Registers from patients admitted to a psychiatric department in the period from 2011 to 2015. Supervised machine learning algorithms were trained on a randomly selected subset of the data and validated using an independent test dataset. Results A total of 5050 patients with 8869 admissions were included in the study. One hundred patients were mechanically restrained in the period between one hour and 3 days after the admission. A Random Forest algorithm predicted MR with an area under the curve of 0.87 (95% CI 0.79–0.93). At 94% specificity, the sensitivity was 56%. Among the ten strongest predictors, nine were derived from the clinical notes. Conclusions These findings open for the development of an early warning system that may guide interventions to reduce the use of MR.

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Section: Discussionmentioning

confidence: 99%

Predicting mechanical restraint of psychiatric inpatients by applying machine learning on electronic health data

Danielsen

Fenger

Østergaard

et al. 2019

Acta Psychiatr Scand

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“…The respective national rates are influenced by ethical and medical issues, e.g. human rights principles, moral philosophy, and professional standards, but mainly by legislation (3–8).…”

Section: Introductionmentioning

confidence: 99%

Public attitude to compulsory admission of mentally ill people

Lauber¹,

Nordt²,

Falcato³

et al. 2002

Acta Psychiatr Scand

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“…The overall trend in the number of emergency compulsory admissions has resulted from a variety of general developments, such as demographic changes and new judicial measures. These mechanisms are refl ected in regional variation within countries (Hansson et al, 1999;Klein Ikkink et al, 1991), and in the variation across Europe (Salize and Dressing, 2004). These mechanisms are refl ected in regional variation within countries (Hansson et al, 1999;Klein Ikkink et al, 1991), and in the variation across Europe (Salize and Dressing, 2004).…”

Section: Long-term and Short-term Developmentsmentioning

confidence: 99%

Emergency compulsory admissions in the Netherlands: fluctuating patterns in Rotterdam, 1929—2005

Wierdsma

2009

Hist Psychiatry

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This paper identifies the social changes and developments in public mental health that have contributed to fluctuations in the use of emergency compulsory admissions in Rotterdam, the Netherlands. Annual reports and administrative data over the years 1929-2005 indicate the impact of general and local factors. Demographic changes and statutory regulations were important general factors, but do not explain particular swings in the number of compulsory admissions. Key local factors were: the availability of alternative arrangements such as emergency centres and sheltered homes; an interpretation of the criteria for compulsory admissions shared by all disciplines involved; and better collaboration between services. These factors suggest that if the increasing use of compulsory admissions is to be reversed, a coordinated effort is needed.

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The Nordic comparative study on sectorized psychiatry: rates of compulsory care and use of compulsory admissions during a 1-year follow-up

Abstract: There was a great variation in rates of compulsory care. No consistent rural-urban pattern in rates of commitment was found. It is discussed whether a formal referral procedure to the psychiatric service is associated with higher rates of compulsory care.

Cited by 35 publications

References 11 publications

Predicting mechanical restraint of psychiatric inpatients by applying machine learning on electronic health data

Predicting mechanical restraint of psychiatric inpatients by applying machine learning on electronic health data

Public attitude to compulsory admission of mentally ill people

Emergency compulsory admissions in the Netherlands: fluctuating patterns in Rotterdam, 1929—2005

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