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      Forecasting the care needs of the older population in England over the next 20 years: estimates from the Population Ageing and Care Simulation (PACSim) modelling study

      research-article
      , PhD a , , MSc b , , Prof, PhD a , *
      The Lancet. Public Health
      Elsevier, Ltd

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          Summary

          Background

          Existing models for forecasting future care needs are limited in the risk factors included and in the assumptions made about incoming cohorts. We estimated the numbers of people aged 65 years or older in England and the years lived in older age requiring care at different intensities between 2015 and 2035 from the Population Ageing and Care Simulation (PACSim) model.

          Methods

          PACSim, a dynamic microsimulation model, combined three studies (Understanding Society, the English Longitudinal Study of Ageing, and the Cognitive Function and Ageing Study II) to simulate individuals' sociodemographic factors, health behaviours, 12 chronic diseases and geriatric conditions, and dependency (categorised as high [24-h care], medium [daily care], or low [less than daily] dependency; or independent). Transition probabilities for each characteristic were estimated by modelling state changes from baseline to 2-year follow-up. Years in dependency states were calculated by Sullivan's method.

          Findings

          Between 2015 and 2035 in England, both the prevalence of and numbers of people with dependency will fall for young-old adults (65–74 years). For very old adults (≥85 years), numbers with low dependency will increase by 148·0% (range from ten simulations 140·0–152·0) and with high dependency will almost double (increase of 91·8%, range 87·3–94·1) although prevalence will change little. Older adults with medium or high dependency and dementia will be more likely to have at least two other concurrent conditions (increasing from 58·8% in 2015 to 81·2% in 2035). Men aged 65 years will see a compression of dependency with 4·2 years (range 3·9–4·2) of independence gained compared with life expectancy gains of 3·5 years (3·1–4·1). Women aged 65 years will experience an expansion of mainly low dependency, with 3·0 years (3·0–3·6) gained in life expectancy compared with 1·4 years (1·2–1·4) with low dependency and 0·7 years (0·6–0·8) with high dependency.

          Interpretation

          In the next 20 years, the English population aged 65 years or over will see increases in the number of individuals who are independent but also in those with complex care needs. This increase is due to more individuals reaching 85 years or older who have higher levels of dependency, dementia, and comorbidity. Health and social care services must adapt to the complex care needs of an increasing older population.

          Funding

          UK Economic and Social Research Council and the National Institute for Health Research.

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          Most cited references16

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          Risk factors for functional status decline in community-living elderly people: a systematic literature review.

          To lay the groundwork for devising, improving and implementing strategies to prevent or delay the onset of disability in the elderly, we conducted a systematic literature review of longitudinal studies published between 1985 and 1997 that reported statistical associations between individual base-line risk factors and subsequent functional status in community-living older persons. Functional status decline was defined as disability or physical function limitation. We used MEDLINE, PSYCINFO, SOCA, EMBASE, bibliographies and expert consultation to select the articles, 78 of which met the selection criteria. Risk factors were categorized into 14 domains and coded by two independent abstractors. Based on the methodological quality of the statistical analyses between risk factors and functional outcomes (e.g. control for base-line functional status, control for confounding, attrition rate), the strength of evidence was derived for each risk factor. The association of functional decline with medical findings was also analyzed. The highest strength of evidence for an increased risk in functional status decline was found for (alphabetical order) cognitive impairment, depression, disease burden (comorbidity), increased and decreased body mass index, lower extremity functional limitation, low frequency of social contacts, low level of physical activity, no alcohol use compared to moderate use, poor self-perceived health, smoking and vision impairment. The review revealed that some risk factors (e.g. nutrition, physical environment) have been neglected in past research. This review will help investigators set priorities for future research of the Disablement Process, plan health and social services for elderly persons and develop more cost-effective programs for preventing disability among them.
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            A Comparison of the Prevalence of Dementia in the United States in 2000 and 2012

            The aging of the US population is expected to lead to a large increase in the number of adults with dementia, but some recent studies in the United States and other high-income countries suggest that the age-specific risk of dementia may have declined over the past 25 years. Clarifying current and future population trends in dementia prevalence and risk has important implications for patients, families, and government programs.
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              Stroke incidence and mortality trends in US communities, 1987 to 2011.

              Prior studies have shown decreases in stroke mortality over time, but data on validated stroke incidence and long-term trends by race are limited.
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                Author and article information

                Contributors
                Journal
                Lancet Public Health
                Lancet Public Health
                The Lancet. Public Health
                Elsevier, Ltd
                2468-2667
                31 August 2018
                September 2018
                31 August 2018
                : 3
                : 9
                : e447-e455
                Affiliations
                [a ]Institute of Health & Society and Newcastle University Institute for Ageing, Newcastle University, Newcastle, UK
                [b ]Personal Social Services Research Unit, London School of Economics and Political Science, London, UK
                Author notes
                [* ]Correspondence to: Prof Carol Jagger, Institute of Health & Society, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, UK carol.jagger@ 123456ncl.ac.uk
                [†]

                For more on the MODEM project see http://www.modem-dementia.org.uk

                Article
                S2468-2667(18)30118-X
                10.1016/S2468-2667(18)30118-X
                6123499
                30174210
                d2d64a2b-a26c-4cfa-8061-0ecdcbd4b015
                © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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