2012
DOI: 10.1177/0020764011431794
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Factors associated with long-stay status in patients with schizophrenia: An analysis of national databases covering the entire Korean population

Abstract: Researchers could improve their assessment of long-stay status of patients with schizophrenia by using a two-level analysis including patient-level and institution-level factors. This study suggests that mental health interventions to reduce the long stay of patients with schizophrenia focus on older male patients, those enrolled in a national medical care aid programme and those admitted to psychiatric hospitals.

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Cited by 18 publications
(37 citation statements)
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“…The majority of articles were published in Asia (n = 16, 89%), including twelve in China [28][29][30][31][32][33][34][35][36][37][38][39], two in South Korea [40,41] and two in Thailand [42,43]. One article was from Chile, South America [44] and one article reporting findings across 22 low-income, 17 lower-middle, and nine upper-middle countries as at 2003 [45] (Table 2).…”
Section: Search Results and Study Selectionmentioning
confidence: 99%
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“…The majority of articles were published in Asia (n = 16, 89%), including twelve in China [28][29][30][31][32][33][34][35][36][37][38][39], two in South Korea [40,41] and two in Thailand [42,43]. One article was from Chile, South America [44] and one article reporting findings across 22 low-income, 17 lower-middle, and nine upper-middle countries as at 2003 [45] (Table 2).…”
Section: Search Results and Study Selectionmentioning
confidence: 99%
“…One article was from Chile, South America [44] and one article reporting findings across 22 low-income, 17 lower-middle, and nine upper-middle countries as at 2003 [45] (Table 2). Thirteen of the 18 articles examined the impact of SHI on mental health care utilization [28][29][30][31][32][33][34][35][36][37][38][39]44]; whilst three examined the impact of NHI [40,41,43] and one article examined the impact of CBHI [42] on mental health care utilization. The remaining paper explored a range of financing mechanisms across 48 LMICs [45].…”
Section: Search Results and Study Selectionmentioning
confidence: 99%
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“…Characteristics of sectors and their related hospital were extracted from the SAE database and included legal status (public vs. private non-profit), specialization and participation in teaching activities, as well as organizational factors, such as number of full-time inpatient beds as an indicator of the size of the hospital [44,55,60]. Moreover, the mean value by sector of the patients’ characteristics described above (case-mix) can also have an influence on practice.…”
Section: Methodsmentioning
confidence: 99%
“…Indeed, some factors can impact the patient’s health status and readiness for discharge, in particular clinical factors such as diagnosis, symptoms severity and comorbidities [38,39,40,41] while some factors can be associated with early discharge such as the implementation of discharge planning or the availability of medical and social care in the community [38,41,42,43]. In addition, associations were shown between the LOS and patients’ demographics and socio-economic characteristics [38,40,41] as well as either institutional characteristics (such as specialization or teaching status) or organizational characteristics (such as number of beds) of the health care provider [38,44]. …”
Section: Introductionmentioning
confidence: 99%