PP12 Projecting The Potential Impact Of Disease-Modifying Therapies For Alzheimer’s Disease On The Carbon Emissions From Hospital Bed-Days in the UK

Introduction Disease-modifying therapies (DMTs) for Alzheimer’s disease (AD) are emerging treatment options. This study aimed to estimate the potential health system and associated environmental impacts of DMTs by modeling future bed-days and carbon dioxide equivalent (CO 2 e) emissions for the UK population under various scenarios for access to and efficacy of DMTs. Methods A cohort Markov model was developed to predict the UK population distribution from 2020 to 2040 across five health states—cognitively unimpaired and four stages of AD (mild cognitive impairment, and mild, moderate, severe dementia). These distributions were estimated using national population projections, AD prevalence data, and stage-specific transition rates. Annual bed-days per person for each state and associated CO 2 e emissions from published literature were applied to estimate total bed-days and emissions. Modeled scenarios combined ranges of DMT efficacy estimates (20 to 30%) and access levels (25 to 58% eligible patients receiving treatment) elicited from expert opinion to explore the extent of potential DMT impacts. Results Without DMT access, annual bed-days across the four AD stages were projected to increase from 5.5 million to 8.6 million from 2020 to 2040, with cumulative bed-days totaling 140 million. Associated annual emissions increased from 0.7 Mt to 1.1 Mt CO 2 e, reaching 17 Mt CO 2 e cumulatively from 2020 to 2040. Under the various high-access (58% eligible patients treated) DMT efficacy scenarios, relative to no DMT access, annual reductions of 430 thousand to 650 thousand bed-days and 54 kt to 81 kt CO 2 e were estimated by 2040, and cumulative emissions decreased by 419 kt to 633 kt CO 2 e. Decreasing DMT access to 25 percent, assuming 25 percent DMT efficacy, reduced annual bed-days by 230 thousand by 2040, and annual emission savings decreased to 29 kt CO 2 e. Conclusions DMTs for AD may contribute to efforts by healthcare systems to reduce the carbon emissions from hospital inpatient care. Environmental sustainability should be considered as part of a holistic value proposition when assessing the benefits of new medicines.

Authors

Publication Details

Journal
International Journal of Technology Assessment in Health Care
Published
2024-12-01
DOI
https://doi.org/10.1017/s0266462324001855
Primary Topic
Health, Environment, Cognitive Aging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PP12 Projecting The Potential Impact Of Disease-Modifying Therapies For Alzheimer’s Disease On The Carbon Emissions From Hospital Bed-Days in the UK

Benjamin Bray, Jason G. Kettle, Craig Ritchie, Julie Hviid Hahn‐Pedersen et al.
International Journal of Technology Assessment in Health Care
Health, Environment, Cognitive Aging
article

PP12 Projecting The Potential Impact Of Disease-Modifying Therapies For Alzheimer’s Disease On The Carbon Emissions From Hospital Bed-Days in the UK

Benjamin Bray, Jason G. Kettle, Craig Ritchie, Julie Hviid Hahn‐Pedersen, Marc Evans, Milana Ivkovic, Dominic Trépel, A. J. Clark, Sophie Edwards, Christian Ahmad Wichmann, Mei Sum Chan
article en

Abstract

Introduction Disease-modifying therapies (DMTs) for Alzheimer’s disease (AD) are emerging treatment options. This study aimed to estimate the potential health system and associated environmental impacts of DMTs by modeling future bed-days and carbon dioxide equivalent (CO 2 e) emissions for the UK population under various scenarios for access to and efficacy of DMTs. Methods A cohort Markov model was developed to predict the UK population distribution from 2020 to 2040 across five health states—cognitively unimpaired and four stages of AD (mild cognitive impairment, and mild, moderate, severe dementia). These distributions were estimated using national population projections, AD prevalence data, and stage-specific transition rates. Annual bed-days per person for each state and associated CO 2 e emissions from published literature were applied to estimate total bed-days and emissions. Modeled scenarios combined ranges of DMT efficacy estimates (20 to 30%) and access levels (25 to 58% eligible patients receiving treatment) elicited from expert opinion to explore the extent of potential DMT impacts. Results Without DMT access, annual bed-days across the four AD stages were projected to increase from 5.5 million to 8.6 million from 2020 to 2040, with cumulative bed-days totaling 140 million. Associated annual emissions increased from 0.7 Mt to 1.1 Mt CO 2 e, reaching 17 Mt CO 2 e cumulatively from 2020 to 2040. Under the various high-access (58% eligible patients treated) DMT efficacy scenarios, relative to no DMT access, annual reductions of 430 thousand to 650 thousand bed-days and 54 kt to 81 kt CO 2 e were estimated by 2040, and cumulative emissions decreased by 419 kt to 633 kt CO 2 e. Decreasing DMT access to 25 percent, assuming 25 percent DMT efficacy, reduced annual bed-days by 230 thousand by 2040, and annual emission savings decreased to 29 kt CO 2 e. Conclusions DMTs for AD may contribute to efforts by healthcare systems to reduce the carbon emissions from hospital inpatient care. Environmental sustainability should be considered as part of a holistic value proposition when assessing the benefits of new medicines.

International Journal of Technology Assessment in Health CareVol. 40(S1)
Openalex Percentile: Top 65%
Health, Environment, Cognitive Aging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.