Future patterns of health inequalities in the population of England to 2040: a microsimulation study

Abstract Introduction The existence of wide inequalities in health across England is well-documented. Our research adds to this evidence on inequalities in self-reported health by describing current patterns and projecting future patterns of inequality in diagnosed illness across multiple conditions by deprivation. Methods We used the IMPACTNCD microsimulation model that simulates a close-to-reality synthetic population of adults in England from 2019 to 2040. This model combines individual-level data on demographics, health and mortality from linked administrative data for primary and secondary care with survey responses on individual-level risk factors and epidemiological evidence on the associations between risk factors and chronic illness. This model can be adapted for other countries based on data availability. We used the Cambridge Multimorbidity Score (CMS) as our multimorbidity measure. This assigns a weight to 20 common long-term conditions based on individuals’ healthcare use and their likelihood of death. We further focus on “major illness” which corresponds to a CMS greater than 1.5. Results In preliminary results, we project that health inequalities are not projected to improve between 2019 and 2040. In 2019, the difference in the average time spent without major illness between the most and least deprived 10% of areas in England was 10.4 years. This is projected to remain largely unchanged at 10.7 years (8.8, 11.7). We also find that in 2019, the share of working age people living with major illness in the most deprived 10% of areas in England (14.6%) was more than double the rate seen in the least deprived 10% of areas (6.3%). In 2040, we project these rates to remain largely unchanged at 15.2% (13.0%, 17.6%) and 6.8% (5.4%, 9.1%) respectively. Discussion On current trends, health inequalities are projected to persist into the future. This has significant implications not just for population health but for labour supply and wider economic growth. Key messages • If current trends in risk factors continue into the future, existing wide inequalities in diagnosed illness in England are projected to persist onto 2040. • With significant disparities in major illness among the working-age population, this has implications not just for population health but for labour supply and wider economic growth.

Authors

Institutions

Publication Details

Journal
European Journal of Public Health
Published
2024-10-28
DOI
https://doi.org/10.1093/eurpub/ckae144.628
Primary Topic
demographic modeling and climate adaptation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Future patterns of health inequalities in the population of England to 2040: a microsimulation study

Toby Watt, Anna Head, Chris Kypridemos, Laurie Rachet-Jacquet et al.
European Journal of Public Health
demographic modeling and climate adaptation
article

Future patterns of health inequalities in the population of England to 2040: a microsimulation study

Toby Watt, Anna Head, Chris Kypridemos, Laurie Rachet-Jacquet, A. Raymond, Hannah-Rose Douglas
article en

Abstract

Abstract Introduction The existence of wide inequalities in health across England is well-documented. Our research adds to this evidence on inequalities in self-reported health by describing current patterns and projecting future patterns of inequality in diagnosed illness across multiple conditions by deprivation. Methods We used the IMPACTNCD microsimulation model that simulates a close-to-reality synthetic population of adults in England from 2019 to 2040. This model combines individual-level data on demographics, health and mortality from linked administrative data for primary and secondary care with survey responses on individual-level risk factors and epidemiological evidence on the associations between risk factors and chronic illness. This model can be adapted for other countries based on data availability. We used the Cambridge Multimorbidity Score (CMS) as our multimorbidity measure. This assigns a weight to 20 common long-term conditions based on individuals’ healthcare use and their likelihood of death. We further focus on “major illness” which corresponds to a CMS greater than 1.5. Results In preliminary results, we project that health inequalities are not projected to improve between 2019 and 2040. In 2019, the difference in the average time spent without major illness between the most and least deprived 10% of areas in England was 10.4 years. This is projected to remain largely unchanged at 10.7 years (8.8, 11.7). We also find that in 2019, the share of working age people living with major illness in the most deprived 10% of areas in England (14.6%) was more than double the rate seen in the least deprived 10% of areas (6.3%). In 2040, we project these rates to remain largely unchanged at 15.2% (13.0%, 17.6%) and 6.8% (5.4%, 9.1%) respectively. Discussion On current trends, health inequalities are projected to persist into the future. This has significant implications not just for population health but for labour supply and wider economic growth. Key messages • If current trends in risk factors continue into the future, existing wide inequalities in diagnosed illness in England are projected to persist onto 2040. • With significant disparities in major illness among the working-age population, this has implications not just for population health but for labour supply and wider economic growth.

European Journal of Public HealthVol. 34(Supplement_3)
University of Liverpool (GB), London Health Sciences Centre (CA), Health Foundation (GB)
Openalex Percentile: Top 77%
demographic modeling and climate adaptation
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.