Evidence map›Paper›PMID 32771987›Full record

ArticleBMJ open2020

Generating national projections of dementia cases for Ireland using a calibrated macro-simulation model.

Tom Pierse, Fiona Keogh, Stephen O'Neill

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In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Forecasted Dementia Prevalence in Portugal (2020-2080).Journal of geriatric psychiatry and neurology · 2024
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Tom PierseCentre for Economic and Social Research on Dementia, National University of Ireland, Galway, Ireland tom.pierse@nuigalway.ie.ORCID 0000-0002-2154-271X
Fiona KeoghCentre for Economic and Social Research on Dementia, National University of Ireland, Galway, Ireland.
Stephen O'NeillDepartment of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEpidemiological data on dementia is not available in many European countries and regions due to the high cost and complexity of conducting large scale dementia screening studies. The available epidemiological studies identify potentially substantial variation in the prevalence of dementia over time and across Europe.

methodsIn this paper we generate simulations of the number of dementia cases in Ireland from 1991 to 2036 using a three-state Markov illness-death model. Parameters values are selected for each simulation from a range using a random parameter search pattern. We employ a novel calibration method which exploits the strong relationship between dementia, ageing and mortality. Simulation weights are generated based on differences between observed and modelled cohorts of older people and the reported number of deaths from dementia. Irish Census data from 1991 to 2016 and the number of recorded deaths due to dementia in 2018 are used as calibration points. A weighted average projection of the number of dementia cases is generated.

resultsWe estimate a weighted average number of cases of dementia in 2016 of 54 877 increasing to 98 946 in 2036; this estimate is substantially lower than the estimates generated using extrapolation methods. We show the wide range of possible outcomes given the range in the available parameter estimates and show that irrespective of whether the incidence rate of dementia is declining the number of cases of dementia is rapidly increasing due to population ageing.

conclusionPrevious studies have used parameter estimates from meta-analyses of the literature or from individual studies. In this paper we supplement these with a calibration approach using observed cause of death and population age structure data. These additional sources of data can be used to generate estimates of dementia prevalence in any country or region which has census data and data on deaths due to dementia.

Indexed as

DementiaAgedAged, 80 and overEuropeHumansIncidenceIrelandPrevalencedementiaepidemiologystatistics & research methods

Identifiers

PMID32771987
PMCPMC7418672

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