<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Torleif Ruud</style></author><author><style face="normal" font="default" size="100%">Espen Woldsengen Haugom</style></author><author><style face="normal" font="default" size="100%">Harold Alan Pincus</style></author><author><style face="normal" font="default" size="100%">Torfinn Hynnekleiv</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Measuring Seclusion in Psychiatric Intensive Care: Development and Measurement Properties of the Clinical Seclusion Checklist</style></title><secondary-title><style face="normal" font="default" size="100%">Frontiers in Psychiatry</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">checklist</style></keyword><keyword><style  face="normal" font="default" size="100%">Måling</style></keyword><keyword><style  face="normal" font="default" size="100%">measurement</style></keyword><keyword><style  face="normal" font="default" size="100%">Seclusion</style></keyword><keyword><style  face="normal" font="default" size="100%">sjekkliste</style></keyword><keyword><style  face="normal" font="default" size="100%">Skjerming</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">12/2021</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.frontiersin.org/articles/10.3389/fpsyt.2021.768500/full</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;&lt;strong&gt;Background:&lt;/strong&gt;&amp;nbsp;Acute psychiatric units in general hospitals must ensure that acutely disturbed patients do not harm themselves or others, and simultaneously provide care and treatment and help patients regain control of their behavior. This led to the development of strategies for the seclusion of a patient in this state within a particular area separated from other patients in the ward. While versions of this practice have been used in different countries and settings, a systematic framework for describing the various parameters and types of seclusion interventions has not been available. The aims of the project were to develop and test a valid and reliable checklist for characterizing seclusion in inpatient psychiatric care.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods:&lt;/strong&gt;&amp;nbsp;Development and testing of the checklist were accomplished in five stages. Staff in psychiatric units completed detailed descriptions of seclusion episodes. Elements of seclusion were identified by thematic analysis of this material, and consensus regarding these elements was achieved through a Delphi process comprising two rounds. Good content validity was ensured through the sample of seclusion episodes and the representative participants in the Delphi process. The first draft of the checklist was revised based on testing by clinicians assessing seclusion episodes. The revised checklist with six reasons for and 10 elements of seclusion was tested with different response scales, and acceptable interrater reliability was achieved.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results:&lt;/strong&gt;&amp;nbsp;The Clinical Seclusion Checklist is a brief and feasible tool measuring six reasons for seclusion, 10 elements of seclusion, and four contextual factors. It was developed through a transparent process and exhibited good content validity and acceptable interrater reliability.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusion:&lt;/strong&gt;&amp;nbsp;The checklist is a step toward achieving valid and clinically relevant measurements of seclusion. Its use in psychiatric units may contribute to quality assurance, more reliable statistics and comparisons across sites and periods, improved research on patients&amp;#39; experiences of seclusion and its effects, reduction of negative consequences of seclusion, and improvement of psychiatric intensive care.&lt;/p&gt;</style></abstract><label><style face="normal" font="default" size="100%">tvangsmidler</style></label></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hofstad, Tore</style></author><author><style face="normal" font="default" size="100%">Rugkåsa, Jorun</style></author><author><style face="normal" font="default" size="100%">Ose, Solveig O.</style></author><author><style face="normal" font="default" size="100%">Nyttingnes, Olav</style></author><author><style face="normal" font="default" size="100%">Husum, Tonje L.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Measuring the level of compulsory hospitalisation in mental health care: The performance of different measures across areas and over time</style></title><secondary-title><style face="normal" font="default" size="100%">Int J Methods Psychiatr Res</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">compulsory hospitalisation</style></keyword><keyword><style  face="normal" font="default" size="100%">geografisk variasjon</style></keyword><keyword><style  face="normal" font="default" size="100%">geographic variation</style></keyword><keyword><style  face="normal" font="default" size="100%">measurement</style></keyword><keyword><style  face="normal" font="default" size="100%">small area analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Tvangsinnleggelse</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">05/2021</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://onlinelibrary.wiley.com/doi/10.1002/mpr.1881</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;section id=&quot;mpr1881-sec-0001&quot;&gt;&lt;h3 id=&quot;mpr1881-sec-0001-title&quot;&gt;Objective&lt;/h3&gt;&lt;p&gt;A variety of measures are used for reporting levels of compulsory psychiatric hospitalisation. This complicates comparisons between studies and makes it hard to establish the extent of geographic variation. We aimed to investigate how measures based on events, individuals and duration portray geographical variation differently and perform over time, how they correlate and how well they predict future ranked levels of compulsory hospitalisation.&lt;/p&gt;&lt;/section&gt;&lt;section id=&quot;mpr1881-sec-0002&quot;&gt;&lt;h3 id=&quot;mpr1881-sec-0002-title&quot;&gt;Methods&lt;/h3&gt;&lt;p&gt;Small-area analysis, correlation analysis and linear regressions of data from a Norwegian health registry containing whole population data from 2014 to 2018.&lt;/p&gt;&lt;/section&gt;&lt;section id=&quot;mpr1881-sec-0003&quot;&gt;&lt;h3 id=&quot;mpr1881-sec-0003-title&quot;&gt;Results&lt;/h3&gt;&lt;p&gt;The average compulsory hospitalisation rate per 100,000 inhabitant was 5.6 times higher in the highest area, compared to the lowest, while the difference for the compulsory inpatient rate was 3.2. Population rates based on inpatients correlate strongly with rates of compulsory hospitalisations (&lt;i&gt;r&lt;/i&gt;&amp;nbsp;=&amp;nbsp;0.88) and duration (&lt;i&gt;r&lt;/i&gt;&amp;nbsp;=&amp;nbsp;0.78). 68%&amp;ndash;81% of ranked compulsory hospitalisation rates could be explained by each area&amp;#39;s rank the previous year.&lt;/p&gt;&lt;/section&gt;&lt;section id=&quot;mpr1881-sec-0004&quot;&gt;&lt;h3 id=&quot;mpr1881-sec-0004-title&quot;&gt;Conclusion&lt;/h3&gt;&lt;p&gt;There are stable differences in service delivery between catchment areas in Norway. In future research, multiple measures of the level of compulsory hospitalisation should ideally be included when investigating geographical variation. It is important that researchers describe accurately the measure upon which their results are based.&lt;/p&gt;&lt;/section&gt;</style></abstract><label><style face="normal" font="default" size="100%">Tvangsinnleggelse</style></label></record></records></xml>