Projections of multi-morbidity in the older population in England to 2035: Estimates from the Population Ageing and Care Simulation (PACSim) model

Age and Ageing

Volumn 47, Issue 3, 2018, Pages 374-380

  Kingston, Andrew ^a   Robinson, Louise ^a   Booth, Heather ^b   Knapp, Martin ^c   Jagger, Carol ^a   Adelaja, Bayo ^d   Avendano, Mauricio ^d   Bamford, Sally Marie ^d   Banerjee, Sube ^d   Berwald, Sharne ^d   Bowling, Ann ^d   Burgon, Clare ^d   Bustard, Elizabeth ^d   Comas Herrera, Adelina ^d   Dangoor, Margaret ^d   Dixon, Josie ^d   Farina, Nicolas ^d   Greengross, Sally ^d   Grundy, Emily ^d   Hu, Bo ^d   King, Derek ^d   Lombard, Daniel ^d   Lorenz, Klara ^d   McDaid, David ^d   Park, A La ^d   Pikhartova, Jitka ^d   Rehill, Amritpal ^d   Wittenberg, Raphael ^d   more..

^a NEWCASTLE UNIVERSITY   (United Kingdom)

^b AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^c LONDON SCHOOL OF ECONOMICS   (United Kingdom)

^d NONE

Author keywords

Ageing; Future; Long term conditions; Multi morbidity; Older people; Simulation

Indexed keywords

AGED; ARTICLE; CHRONIC DISEASE; COHORT ANALYSIS; DEMENTIA; DEMOGRAPHY; ENGLAND; FEMALE; GERIATRIC CARE; GERIATRIC DISORDER; HEALTH BEHAVIOR; HUMAN; LIFE EXPECTANCY; MALE; MORBIDITY; MULTI MORBIDITY; POPULATION AGEING AND CARE SIMULATION MODEL; POPULATION PROJECTION; PRIORITY JOURNAL; SIMULATION; SURVIVAL RATE; VERY ELDERLY; ADULT; AGE DISTRIBUTION; AGING; COMPUTER SIMULATION; DISEASE PREDISPOSITION; ELDERLY CARE; EPIDEMIOLOGY; FORECASTING; HEALTH SERVICE; HEALTH STATUS; MENTAL HEALTH; MULTIPLE CHRONIC CONDITIONS; PREVALENCE; RISK ASSESSMENT; RISK FACTOR; THEORETICAL MODEL; TIME FACTOR;

ADULT; AGE DISTRIBUTION; AGED; AGED, 80 AND OVER; AGING; COMPUTER SIMULATION; DISEASE SUSCEPTIBILITY; ENGLAND; FORECASTING; HEALTH SERVICES FOR THE AGED; HEALTH SERVICES NEEDS AND DEMAND; HEALTH STATUS; HUMANS; LIFE EXPECTANCY; MENTAL HEALTH; MODELS, THEORETICAL; MULTIMORBIDITY; PREVALENCE; RISK ASSESSMENT; RISK FACTORS; TIME FACTORS;

EID: 85043293141     PISSN: 00020729     EISSN: 14682834     Source Type: Journal    
DOI: 10.1093/ageing/afx201     Document Type: Article

References (30)

1. Barnett K, Mercer SW, Norbury M, Watt G, Wyke S, Guthrie B. Epidemiology of multimorbidity and implications for health care, research, and medical education: a crosssectional study. Lancet 2012; 380(9836):37-43
2. Salive ME. Multimorbidity in older adults. Epidemiol Rev 2013; 35: 75-83
3. Office for National Statistics. National Population Projections: 2014-based Statistical Bulletin. 2015 http://www.ons.gov.uk/ peoplepopulationandcommunity/populationandmigration/ populationprojections/bulletins/nationalpopulationprojections/ 2015-10-29 (16 December 2015, date last accessed)
4. Collerton J, Davies K, Jagger C et al. Health and disease in 85 year olds: baseline findings from the Newcastle 85+cohort study. Br Med J 2009; 339
5. Marengoni A, Angleman S, Melis R et al. Aging with multimorbidity: a systematic review of the literature. Ageing Res Rev 2011; 10(4):430-9
6. Robinson L. Government Office for Science Foresight. Present and Future Configuration of Health and Social Care Services to Enhance Robustness in Older Age. London: The Stationery Office, 2015
7. Health and Social Care Information Centre. Statistics on Obesity, Physical Activity and Diet: England 2015. Leeds: HSCIC, 2015
8. Smith SM, Soubhi H, Fortin M et al. Managing patients with multimorbidity: systematic review of interventions in primary care and community settings. Br Med J 2012; 345: e5205
9. National Institue for Health and Care Excellence (NICE), Multimorbidity: clinical assessment and management. 2016
10. Matthews FE, Stephan BC, Robinson L et al. A two decade dementia incidence comparison from the cognitive function and ageing studies I and II. Nat Commun 2016; 7: 11398
11. Vogeli C, Shields AE, Lee TA et al. Multiple chronic conditions: prevalence, health consequences, and implications for quality, care management, and costs. Journal of Gen Inter Med 2007; 22(Suppl 3):391-5
12. Boyle JP, Thompson TJ, Gregg EW, Barker LE, Williamson DF. Projection of the year 2050 burden of diabetes in the US adult population: dynamic modeling of incidence, mortality, and prediabetes prevalence. Popul Health Metr 2010; 8(1):29
13. Critchley JA, Capewell S. Substantial potential for reductions in coronary heart disease mortality in the UK through changes in risk factor levels. J Epidemiol Community Health 2003; 57(4):243-7
14. Sloane PD, Zimmerman S, Suchindran C et al. The public health impact of Alzheimer's disease, 2000-2050: potential implication of treatment advances. Annu Rev Public Health 2002; 23: 213-31
15. Guzman-Castillo M, Ahmadi-Abhari S, Bandosz P et al. Forecasted trends in disability and life expectancy in England and Wales up to 2025: a modelling study. Lancet Public Health 2017; 2: e307-13
16. Foresight, Tackling obesities. Future choices-modelling future trends in obesity and their impact on health. 2007
17. Brown L, Nepal B, Booth H, Pennec S, Anstey K, Harding A. NATSEM. Dynamic modelling of ageing and health: the Dynopta Microsimulation Model. In: NATSEM Working Paper 11/14. Canberra: University of Canberra, 2011
18. Jagger C, Matthews R, Lindesay J, Robinson T, Croft P, Brayne C. The effect of dementia trends and treatments on longevity and disability. Age Ageing 2009; 38: 319-25
19. Kingston A, Jagger C. Population Ageing and Care Simulation model (PACSim). Baseline dataset and model construction (version: 241017). Available from: Available at: https://goo.gl/nm8Rmk
20. Folstein M, Folstein S, McHugh PR. A practical method for grading the cognitive state of patients for the clinician. J Psychiat Res 1975; 12: 189-98
21. Health and Social Care Information Centre, Health Survey for England 2014 Adult Trend Tables. 2015
22. Sullivan DF. A single index of mortality and morbidity. Health Services Ment Health Admin Health Rep 1971; 86: 347-54
23. Nusselder WJ, Looman CWN. Decomposition of differences in health expectancy by cause. Demography 2004; 41(2):315-34
24. Arokiasamy P, Uttamacharya U, Jain K et al. The impact of multimorbidity on adult physical and mental health in lowand middle-income countries: what does the study on global ageing and adult health (SAGE) reveal? BMC Med 2015; 13: 178
25. Health and Social Care Information Service, Quality and Outcomes Framework. 2011
26. Hughes LD, McMurdo MET, Guthrie B. Guidelines for people not for diseases: the challenges of applying UK clinical guidelines to people with multimorbidity. Age Ageing 2013; 42(1):62-9
27. Buffel du Vaure C, Ravaud P, Baron G, Barnes C, Gilberg S, Boutron I. Potential workload in applying clinical practice guidelines for patients with chronic conditions and multimorbidity: a systematic analysis. BMJ Open 2016; 6(3)
28. The National Clinical Guideline Centre. Multimorbidity: Clinical Assessment and Management. NICE Clinical Guideline 56. London: The National Clinical Guideline Centre, 2016
29. Stott DJ, Young J. 'Across the pond'-a response to the NICE guidelines for management of multi-morbidity in older people. Age Ageing 2017; 46(3):343-5
30. Palladino R, Tayu Lee J, Ashworth M, Triassi M, Millett C. Associations between multimorbidity, healthcare utilisation and health status: evidence from 16 European countries. Age Ageing 2016; 45(3):431-5