Prediction of general hospital admission in people with dementia: cohort study

Tom C Russ, Mario A Parra, Alison E Lim, Emma Law, Peter J Connelly, John M Starr

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

Background People with dementia are extremely vulnerable in hospital and unscheduled admissions should be avoided if possible. Aims To identify any predictors of general hospital admission in people with dementia in a well-characterised national prospective cohort study. Method A cohort of 730 persons with dementia was drawn from the Scottish Dementia Research Interest Register (47.8% female; mean age 76.3 years, s.d. = 8.2, range 50-94), with a mean follow-up period of 1.2 years. Results In the age- and gender-adjusted multivariable model (n = 681; 251 admitted), Neuropsychiatric Inventory score (hazard ratio per s.d. disadvantage 1.21, 95% CI 1.08-1.36) was identified as an independent predictor of admission to hospital. Conclusions Neuropsychiatric symptoms in dementia, measured using the Neuropsychiatric Inventory, predict non-psychiatric hospital admission of people with dementia. Further studies are merited to test whether interventions to reduce such symptoms might reduce unscheduled admissions to acute hospitals.
LanguageEnglish
Pages153-159
Number of pages7
JournalBritish Journal of Psychiatry
Volume206
Issue number2
DOIs
Publication statusPublished - 1 Feb 2015

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General Hospitals
Dementia
Cohort Studies
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Prospective Studies
Research

Keywords

  • cohort study
  • dementia
  • general hospital admission
  • neuropsychiatric symptoms in dementia

Cite this

Russ, Tom C ; Parra, Mario A ; Lim, Alison E ; Law, Emma ; Connelly, Peter J ; Starr, John M. / Prediction of general hospital admission in people with dementia : cohort study. In: British Journal of Psychiatry . 2015 ; Vol. 206, No. 2. pp. 153-159.
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Prediction of general hospital admission in people with dementia : cohort study. / Russ, Tom C; Parra, Mario A; Lim, Alison E; Law, Emma; Connelly, Peter J; Starr, John M.

In: British Journal of Psychiatry , Vol. 206, No. 2, 01.02.2015, p. 153-159.

Research output: Contribution to journalArticle

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AU - Parra, Mario A

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N2 - Background People with dementia are extremely vulnerable in hospital and unscheduled admissions should be avoided if possible. Aims To identify any predictors of general hospital admission in people with dementia in a well-characterised national prospective cohort study. Method A cohort of 730 persons with dementia was drawn from the Scottish Dementia Research Interest Register (47.8% female; mean age 76.3 years, s.d. = 8.2, range 50-94), with a mean follow-up period of 1.2 years. Results In the age- and gender-adjusted multivariable model (n = 681; 251 admitted), Neuropsychiatric Inventory score (hazard ratio per s.d. disadvantage 1.21, 95% CI 1.08-1.36) was identified as an independent predictor of admission to hospital. Conclusions Neuropsychiatric symptoms in dementia, measured using the Neuropsychiatric Inventory, predict non-psychiatric hospital admission of people with dementia. Further studies are merited to test whether interventions to reduce such symptoms might reduce unscheduled admissions to acute hospitals.

AB - Background People with dementia are extremely vulnerable in hospital and unscheduled admissions should be avoided if possible. Aims To identify any predictors of general hospital admission in people with dementia in a well-characterised national prospective cohort study. Method A cohort of 730 persons with dementia was drawn from the Scottish Dementia Research Interest Register (47.8% female; mean age 76.3 years, s.d. = 8.2, range 50-94), with a mean follow-up period of 1.2 years. Results In the age- and gender-adjusted multivariable model (n = 681; 251 admitted), Neuropsychiatric Inventory score (hazard ratio per s.d. disadvantage 1.21, 95% CI 1.08-1.36) was identified as an independent predictor of admission to hospital. Conclusions Neuropsychiatric symptoms in dementia, measured using the Neuropsychiatric Inventory, predict non-psychiatric hospital admission of people with dementia. Further studies are merited to test whether interventions to reduce such symptoms might reduce unscheduled admissions to acute hospitals.

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