Benefits of population-level interventions for dementia risk factors: an economic modelling study for England.


Journal

The lancet. Healthy longevity
ISSN: 2666-7568
Titre abrégé: Lancet Healthy Longev
Pays: England
ID NLM: 101773309

Informations de publication

Date de publication:
26 Jul 2024
Historique:
received: 05 03 2024
revised: 17 06 2024
accepted: 17 06 2024
medline: 4 8 2024
pubmed: 4 8 2024
entrez: 3 8 2024
Statut: aheadofprint

Résumé

Individual-level interventions for dementia risk factors could reduce costs associated with dementia and some are cost-effective. We aimed to estimate the cost-effectiveness of population-level interventions for tackling dementia risk factors. In this economic modelling study, we included recommended population-based interventions from a previously published review article for which there was consistent and robust evidence of effectiveness in tackling a dementia risk factor (tobacco smoking, excess alcohol use, hypertension, obesity, air pollution, and head injury). We only included interventions if they had not been introduced in England or were in place but could be extended. The interventions studied were increases in tobacco pricing, minimum pricing for alcohol, raising alcohol price, salt reduction policies, sugar reduction policies, low emission zones, and compulsory helmet use for cycling by children (aged 5-18 years). We used published intervention effect sizes and relative risks for each risk factor and a Markov model to estimate progression to dementia in populations with and without the intervention, looking at lifetime risk, in the population of England. We estimated that reductions in excess alcohol use through minimum unit pricing would lead to cost-savings of £280 million and 4767 quality-adjusted life-years (QALYs) gained over an indefinite succession of age cohorts. Reformulation of food products to reduce salt would lead to cost-savings of £2·4 billion and 39 433 QALYs gained and reformulation to reduce sugar would lead to cost-savings of £1·046 billion and 17 985 QALYs gained. Reducing dementia risk from air pollution by introducing low emission zones in English cities with a population of 100 000 or more (that do not already impose restrictions) would lead to £260 million cost-savings and 5119 QALYs gained. Raising cigarette prices by 10% to reduce dementia risk from smoking would lead to 2277 QALYs gained and cost-savings of £157 million. Making bicycle helmets compulsory for children (aged 5-18 years) to reduce dementia risk from head injury would lead to cost-savings of £91 million and 1554 QALYs gained. Population-level interventions could help tackle life course dementia risk and save costs. UK National Institute for Health and Care Research Three Schools dementia research programme.

Sections du résumé

BACKGROUND BACKGROUND
Individual-level interventions for dementia risk factors could reduce costs associated with dementia and some are cost-effective. We aimed to estimate the cost-effectiveness of population-level interventions for tackling dementia risk factors.
METHODS METHODS
In this economic modelling study, we included recommended population-based interventions from a previously published review article for which there was consistent and robust evidence of effectiveness in tackling a dementia risk factor (tobacco smoking, excess alcohol use, hypertension, obesity, air pollution, and head injury). We only included interventions if they had not been introduced in England or were in place but could be extended. The interventions studied were increases in tobacco pricing, minimum pricing for alcohol, raising alcohol price, salt reduction policies, sugar reduction policies, low emission zones, and compulsory helmet use for cycling by children (aged 5-18 years). We used published intervention effect sizes and relative risks for each risk factor and a Markov model to estimate progression to dementia in populations with and without the intervention, looking at lifetime risk, in the population of England.
FINDINGS RESULTS
We estimated that reductions in excess alcohol use through minimum unit pricing would lead to cost-savings of £280 million and 4767 quality-adjusted life-years (QALYs) gained over an indefinite succession of age cohorts. Reformulation of food products to reduce salt would lead to cost-savings of £2·4 billion and 39 433 QALYs gained and reformulation to reduce sugar would lead to cost-savings of £1·046 billion and 17 985 QALYs gained. Reducing dementia risk from air pollution by introducing low emission zones in English cities with a population of 100 000 or more (that do not already impose restrictions) would lead to £260 million cost-savings and 5119 QALYs gained. Raising cigarette prices by 10% to reduce dementia risk from smoking would lead to 2277 QALYs gained and cost-savings of £157 million. Making bicycle helmets compulsory for children (aged 5-18 years) to reduce dementia risk from head injury would lead to cost-savings of £91 million and 1554 QALYs gained.
INTERPRETATION CONCLUSIONS
Population-level interventions could help tackle life course dementia risk and save costs.
FUNDING BACKGROUND
UK National Institute for Health and Care Research Three Schools dementia research programme.

Identifiants

pubmed: 39096915
pii: S2666-7568(24)00117-X
doi: 10.1016/S2666-7568(24)00117-X
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests GL is supported by grants from the UK National Institute for Health and Care Research (NIHR) Applied Research Collaborations, NIHR Biomedical Research Centre, NIHR Health Technology Assessment, NIHR programme grants, North Thames Applied Research Collaborations, Alzheimer’s Association, Norwegian Research Council, and Wellcome Trust. All other authors declare no competing interests.

Auteurs

Naaheed Mukadam (N)

UCL Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK. Electronic address: n.mukadam@ucl.ac.uk.

Robert Anderson (R)

Care Policy and Evaluation Centre, London School of Economics and Political Science, London, UK.

Sebastian Walsh (S)

Cambridge Public Health, University of Cambridge, Cambridge, UK.

Raphael Wittenberg (R)

Care Policy and Evaluation Centre, London School of Economics and Political Science, London, UK.

Martin Knapp (M)

Care Policy and Evaluation Centre, London School of Economics and Political Science, London, UK.

Carol Brayne (C)

Cambridge Public Health, University of Cambridge, Cambridge, UK.

Gill Livingston (G)

UCL Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK.

Classifications MeSH