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A time-geographic approach for visualizing the paths of intervention for persons with severe mental illness

Bibliographic Data

ID12034857
AuthorsKaterina Vrotsou (0000-0003-4761-8601, Linköping University, corresponding author), Gunnel Andersson (0000-0002-9392-6464, Research and Development Center, FoU Södertörn, Tumba, Sweden), Kajsa Ellegard (0000-0003-4133-1204, Linköping University), Claes-Göran Stefansson (Stockholm University), Alain Topor (0000-0001-5164-3370, Stockholm University), Anne Denhov (Stockholm University), Per Bülow (0000-0002-3531-4072, Jönköping University)
Year2017
Volume99
Issue4
Pages341-359
Publication date2017-10-02
Open AccessNo
TypeARTICLE
VenueGeografiska Annaler Series B Human Geography (JOURNAL)
Journal identifiersISSN: 0435-3684 • E-ISSN: 1468-0467
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/04353684.2017.1408028
OpenAlexW2773900842
LanguageEN
Citations received5
References cited15

Living conditions for persons with severe mental illness (SMI) in Sweden have changed dramatically in recent decades, mainly due to the closure of mental hospitals in the 1990s and the subsequent development of community-based interventions. Thereby, people with SMI have experienced care interventions in various forms, which vary according to how the treatment is institutionally organised over the years. There is, however, a lack of knowledge concerning what “care paths” persons with SMI have undergone in this fragmented institutional landscape. In this article we present a time-geography-inspired visualisation method to address this. A set of 437 persons, first diagnosed with psychosis between 2000–2004, were studied over 10 years with regard to their contact with various care institutions. We constructed time-geographic paths of intervention for these individuals and visualised them at an aggregate level. The initial exploration conducted using the proposed visualisation method showed gender and age differences in some respects, but also that the initial periods after the psychosis diagnoses were similar in terms of in-patient care interventions among men and women. The proposed visualisation method is promising and should be further developed for deeper analysis of long-term individual paths of intervention

Closure (psychology · Intervention (counseling · Mental health · Mental illness · Psychiatry · Psychological intervention · Psychosis · Set (abstract data type · Computer Science · Medicine · Mental Health and Psychiatry · Mental Health Research Topics · Psychology · Schizophrenia research and treatment · Gerontology

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Citations per year0.71
Citation span2019 - 2024 (6)
Highly citedNo

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