2017
DOI: 10.1111/jpm.12377
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Stories of change: the text analysis of handovers in an Italian psychiatric residential care home

Abstract: Handovers assure a timely and correct information transfer while socializing workers to the service's culture; however, no study describes them as instruments to document organizational change and only a few have focused on psychiatric settings. Aim To investigate the change in the culture of an Italian psychiatric residential care home as perceived by its mental health workers (MHWs) over the course of two decades. Method Emotional text analysis (ETA) was used to analyse the MHWs' handovers completed from 199… Show more

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Cited by 11 publications
(8 citation statements)
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“…In addition, there is a lack of research showing professionals’ and users’ experiences of intersectoral care based on a recovery-oriented framework [ 13 , 14 ]. Much of the research related to intersectoral care focuses only on the transition itself, e.g., discharge from the mental health hospital to community mental healthcare [ 15 , 16 , 17 ]. In addition, there are several studies exploring methods for creating better intersectoral care.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, there is a lack of research showing professionals’ and users’ experiences of intersectoral care based on a recovery-oriented framework [ 13 , 14 ]. Much of the research related to intersectoral care focuses only on the transition itself, e.g., discharge from the mental health hospital to community mental healthcare [ 15 , 16 , 17 ]. In addition, there are several studies exploring methods for creating better intersectoral care.…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, coherent intersectoral care must be based on a recovery-oriented approach [ 10 , 11 ]. There are only a few studies that focus on coherent intersectoral care in a psychiatric context [ 12 , 13 , 14 , 15 , 16 , 17 , 18 ]. These studies highlight issues concerning inadequate communication and coordination across the professional services [ 19 ].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, elements in the same cluster are maximally similar, whereas they are maximally different from elements of a different cluster [169]. T-LAB uses an automatic and unsupervised clustering algorithm, especially the bisecting K-means method [169,170].…”
Section: Thematic Analysis and Clusteringmentioning
confidence: 99%