An Examination of Psychiatric Inpatient Admissions in Rural Ireland
Karyn Morrissey,
Cathal O’Donoghue (),
Antoinette Daly,
Graham Clarke and
Dimitris Ballas
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Karyn Morrissey: Rural Economy and Development Programme, Teagasc, Athenry, Co. Galway, Ireland
Cathal O’Donoghue: Rural Economy and Development Programme, Teagasc, Athenry, Co. Galway, Ireland
Antoinette Daly: Health Research Board, Dublin
Graham Clarke: School of Geography, University of Leeds
Dimitris Ballas: Department of Geography, University of Sheffield
Authors registered in the RePEc Author Service: Cathal O'donoghue
No 910, Working Papers from Rural Economy and Development Programme,Teagasc
Abstract:
As with ill health in general, the conventional wisdom is that mental illnesses are more prevalent in urban settings. This assumption has meant that there has been a paucity of literature documenting the mental health needs of rural and remote communities. For example, the present literature on psychiatric inpatient admissions in Ireland is essentially a descriptive overview of psychiatric services at both the national and county level – their activity; an outline of the current services or planned changes to the structure and provision of and access to mental health services. Such comparative analysis informs future planning decisions for both the development and delivery of mental health decisions. However, to date no research has been carried out on the spatial incidence of mental illness at the small area level in Ireland. Using data from the National Psychiatric In-patient Reporting System (NPIRS), this paper aims to address this gap in the literature, by providing a rural/urban comparison of admissions to psychiatric units and hospitals in Ireland. Results from this analysis found that in Ireland, rural residents had a higher probability of being admitted to a psychiatric hospital for schizophrenia, depression and alcoholism, given there demographic and socio-economic characteristics compared to urban residents.
Keywords: Psychiatric Morbidity; NPIRS; Logistic Models (search for similar items in EconPapers)
Pages: 42 pages
Date: 2009
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