2019
DOI: 10.2188/jea.je20180066
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Geographical Variation in Psychiatric Admissions Among Recipients of Public Assistance

Abstract: Background Understanding the area-specific resource use of inpatient psychiatric care is essential for the efficient use of the public assistance system. This study aimed to assess the geographical variation in psychiatric admissions and to identify the prefecture-level determinants of psychiatric admissions among recipients of public assistance in Japan. Methods We identified all recipients of public assistance who were hospitalized in a psychiatric ward in May 2014, 2… Show more

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Cited by 9 publications
(3 citation statements)
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“…The rate of receipt of public assistance was particularly high in drug poisoning cases. In addition, some recipients of public assistance tend to abuse psychotropic medication [ 21 ]. Furthermore, most drug poisoning cases in Japan involved current or previous exposure to psychotropic medication [ 22 ].…”
Section: Discussionmentioning
confidence: 99%
“…The rate of receipt of public assistance was particularly high in drug poisoning cases. In addition, some recipients of public assistance tend to abuse psychotropic medication [ 21 ]. Furthermore, most drug poisoning cases in Japan involved current or previous exposure to psychotropic medication [ 22 ].…”
Section: Discussionmentioning
confidence: 99%
“…The Fact-finding Survey on Medical Assistance (FSMA) data were used to obtain the number of patients 12,13 . The National Survey on Public Assistance Recipients (NAPSR) data were used to obtain the number of PAR.…”
Section: Data Source 1: Parmentioning
confidence: 99%
“…Comparisons of small areas have repeatedly demonstrated wide variations in health care expenditures and utilization rates—both in medical and surgical (Ashton et al., 1999; Birkmeyer et al., 1998; Chassin et al., 1986; Coyte et al., 1996; Gittelsohn & Powe, 1995; Keller et al., 1990; Knickman & Foltz, 1984; Lewis, 1969; McPherson et al., 1982; Wennberg & Gittelsohn, 1973) as well as in psychiatric services (Almog et al., 2004; Ashton et al., 1999; Curtis et al., 2009; Gottlieb et al., 2021; Hendryx & Rohland, 1994; Hendryx et al., 1995; Okumura et al., 2019; Watts et al., 2011). Such‐wide variations cannot be fully explained by underlying differences in the prevalence or incidence of conditions.…”
Section: Introductionmentioning
confidence: 99%