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For Permissions, please email: [email protected] Trends in disability prevalence over 10 years in older people living in Gloucestershire IAN P. DONALD1, CHRIS FOY2, CAROL JAGGER3 1 Gloucestershire Royal Hospital, Great Western Road, Gloucester GL1 3NN, UK Research and Development Support Unit, Gloucestershire Royal Hospital, Great Western Road, Gloucester GL1 3NN, UK 3 Department of Health Sciences, University of Leicester, Leicester, UK 2 Address correspondence to: I. P. Donald. Tel: (+44) 8454 226112; Fax: (+44) 8454 226979. Email: [email protected] Abstract Introduction: life expectancy in the UK appears to be growing faster than healthy life expectancy, which may imply that there are increasing years of disability. There are few sequential studies examining changes in disability amongst older people within a defined locality. Methods: the population aged 75 and over of 10 general practices in Gloucestershire was surveyed using a validated postal questionnaire for disability called the Elderly At Risk Rating Scale. Surveys were carried out in 1998 and 2008. Age-adjusted disability prevalences were measured. Care home residents were under-represented in the 1998 survey, and missing data was supplied from a countywide census of care home residents in 2000. Results: response rates of 81 and 74% were achieved. Reductions in disability prevalence were found for mobility, vision and self-care, but there was no significant change in a measure of self-rated health. Higher rates of independence were found in both genders and across the age range in 2008. The improvements suggested that the latter sample was equivalent to subjects being 3.8 years ‘younger’ than 10 years before and entering dependency on care 2.1 years later. Discussion: the prevalence of disability affecting activities of daily living appears to have reduced over 10 years in older people in Gloucestershire. If generalisable, these results provide some optimism for current trends in ageing in England. Keywords: cohorts, disability, older people, self-rated health Introduction In the UK, as in many other developed nations, the population aged over 80 years is growing rapidly: in the last 10 years, there has been a growth of around 20%, and further dramatic rises are expected in the coming decade. Life expectancy has increased by almost 3.2 years for men and 2.2 years for women during this decade, but estimated 337 I. P. Donald et al. healthy life expectancy has probably increased by around half of this [1]. Trends in the prevalence of age-standardised disability worldwide are variable [2] with five out of 12 countries showing clear evidence of a decline in severe disability and three showing an increase. Furthermore, in two countries (France and the UK) the trends differed depending on the data source. Within the UK there have been only two previous studies comparing health and disability in comparable cohorts over a period of time [3, 4] but both pertain to previous decades. Neither study showed a clear picture of declining disability. There is anxiety about a potential increasing burden of disability in old age requiring support by health and social care services. Yet some observations appear to be to the contrary: the number of long-term care places is stable or decreasing; there is no marked increase in expenditure on domiciliary care; and the average 80 year old in the UK today seems fitter than a decade ago. The Rowntree foundation has shown that between 1991 and 2001, the care home population in England fell by 50,000 places or 13% of the provision [5]. The proportion of the 75–84 population in care homes in England fell from 5.3 to 3.3%, and for those over 85 from 20 to 16% [5]. Of course there may be considerable numbers of older people with disability who are not accessing long-term care with an iceberg of unmet need. More information regarding trends in the disability of older people is required to disentangle what is happening. The present study comprises information from two large postal surveys of the population aged 75 and over in Gloucestershire in 1998 and 2008. The samples included all patients registered with the same 10 general practices and represented about 10% of the county’s population. The population is very stable, with 94% of the 2008 survey having lived in the county for over 10 years. This stability made it feasible to compare the prevalence of disability in the two samples. Methods The 10 practices included in the surveys represented a range of location, but with a predominance of rural towns reflecting the population of Gloucestershire: four were in rural towns, two of which were the sole practice for the locality; three were suburban practices and three urban practices. Townsend score [6] is a measure of deprivation based upon four items extracted from Office of Population Censuses and Surveys (OPCS); here Townsend scores were derived from the postal codes of each patient on the practice register in 1998. The Townsend scores were all in a narrow band: five of these practices had slightly negative Townsend scores (range −1.99 to −0.16) and five slightly positive scores (range 0.11 to 0.88). The average Townsend score for the included practices was −0.4 and −0.2 for Gloucestershire (Standard Deviation (SD) 1.05, range 3.62 to −1.99). The standardised mortality ratio for Gloucestershire is currently 94. 338 All patients aged 75 years or over on the 1 May 1998 and 1 May 2008 in the 10 practices were sent the postal version of the Elderly At Risk Rating Scale (EARRS), a previously validated scale for assessing older people [7]. Brief postal questionnaires have been shown to be a reliable source of disability information with older people [8]. This tool consists of 20 domains, each with five hierarchical, categorical responses, which cover activity and mobility, personal activities of daily living (ADL), mental health and support at home. It was designed to satisfy the requirements of the over 75 health check as defined by the 1990 General Practitioner (GP) contract. In 2008, some additional questions were included to enable cross-referencing to the national census and to establish the stability of the population. The method of the 1998 survey has been described previously [9]. No reminders were sent in either survey. ‘No dependency’ was defined as having no memory problem and being independent in all four following questions: outdoor mobility at least able to go outside for short walks, managing to wash or shower independently, managing to dress easily on own and able to cook or reheat a whole meal. ‘High dependency’ was defined as either having a memory problem (‘You are forgetful, and this interferes with your everyday life’) or physical dependency, derived from all three of the following questions—unable to walk inside without a walking aid, plus needing help for washing plus having great difficulty in dressing. ‘Limited dependency’ were individuals falling between these groups. The 2008 sample included a representative sample of care home subjects, but care home residents were under-represented in the 1998 sample. The data presented here is mainly a comparison of those living at home. To enable some estimate of the changing burden of disability in the whole population, missing data was taken from the census of care home residents undertaken in Gloucestershire in October 2000 [10]. The methodology was based on that used in a previous census in Trent [11]. Care Home staff completed the census forms on each resident. A response rate of 73% was achieved. The census included similarly phrased questions on mobility, memory, washing and dressing, allowing residents’ dependency to be defined as above. A random sampling of the cases within the census was taken to represent the proportion of the population believed to be in care at the time. Population sizes for the county were obtained from Nomis [12]. Comparison populations were derived from the Health Survey for England [13], which in 2000 and 2005 included larger samples of people over the age of 75 (3,000 in 2000 and almost 2,000 in 2005). Statistical analysis Data has been analysed using SPSS version 14.0. Disability rates in the 1998 survey were standardised to the age quintiles and sex distribution of the 2008 sample. Logistic regression adjusted for age, gender and Townsend was used to examine outdoor mobility and dependency. The effective Trends in disability prevalence in Gloucestershire Table 1. Demography of two sample populations 1998 n 2008 Mean age n Mean age ............................................................ Overall Responders Non-responders Response rate Non-response♀ Non-response♂ 5,117 4,159 958 81% 20.2% 17.7% 80.8 82.4 7,154 5,266 1,888 74% 27.5% 24.6% 82.1 82.6 age difference for independence and high dependence was estimated as the ratio of the unstandardised beta coefficients, for sample and age, of a logistic regression for the outcome, using age and sample as predictors. The 95% confidence interval (95% CI) was estimated using a formula for the variance of a ratio [14]. Ethical issues Consent was obtained from all participating general practitioners, but was not explicitly sought from individuals. The 1998 study was approved by the West Gloucestershire Research Ethics Committee, and the 2008 study by the Wiltshire Research Ethics Committee. Computerised data did not contain any personal identifiers, using only gender and year of birth. Results The samples were derived from two postal surveys (in 1998 and 2008) of those aged 75 years and over belonging to 10 general practices, these practices representing 9.2% of the population of Gloucestershire. Representativeness of Gloucestershire population The population aged 75 and over in Gloucestershire is 7.6% of the total population, which compares with 7.1% in England [12]. This population in England grew by 10% in the last 10 years, but by 13% in Gloucestershire, which has experienced net immigration of around 2,000 people aged 75 and over in the last 10 years. The over 75 population within the 10 practices in this study grew by 19% as three practices experienced larger growth through expansion of their business. A little less than a third of the growth may be accounted for by the net immigration, and only 6.2% of the 2008 sample had lived in the county for <10 years. Much <1% of the county’s older population is non-Caucasian. Study population Adequate questionnaires were returned by 4,159 subjects in 1998 and 5,266 subjects in 2008. This represented response rates of 81% in 1998 and 74% in 2008 (Table 1). The responders were younger than non-responders (80.8 years vs 82.4 in 1998; 82.1 vs 82.6 in 2008), and males had a higher response rate than females in both surveys. Representativeness of the responders compared to the Gloucestershire and English population Comparisons of the two samples with the county population estimates from Nomis [12] and the 2001 census in England are shown in Supplementary Table 1 (Supplementary data are available in Age and Ageing online). The age distribution closely resembled the county populations at the time. Self-rated health in the 2008 survey was similar to figures in the 2000 and 2005 Health Survey of England [13] (Supplementary Table 2 is available in Age and Ageing online). Demographic changes The proportion of the older population living alone fell from 31 to 26% for men and from 59 to 57% for women. This compares with data from the 2000 and 2005 Health Surveys for England, where the figure for men has fallen from 35 to Table 2. Prevalence of disabilities in each sample for those outside care (shown as %) (n = 4,224 in 1998; 5,002 in 2008) Disability/problem Crude prevalence 1998 Standardised prevalence 1998 (95% CI) Prevalence 2008 (95% CI) ............................................................................................................................. Unable to walk beyond gate Unable to walk inside without aid Fall in last 3months Difficulty/inability washing Difficulty/inability dressing Unable to prepare a meal Requires hearing aid Regarding vision, unable to read Regular joint pain Requires help with nails Memory impaired Frequently sad or low Limited energy 16.7 19.1 20.7 40.0 8.1 13.9 24.6 7.7 52.1 49.4 6.9 14.1 45.3 19.5 21.8 22.4 43.7 8.8 15.6 26.7 9.1 53.1 53.0 7.6 14.9 48.4 (18.3, 20.8) (20.5, 23.1) (21.0, 23.7) (42.2, 45.2) (7.9, 9.7) (14.4, 16.7) (25.3, 28.1) (8.1, 10.0) (51.5, 54.6) (51.5, 54.5) (6.7, 8.4) (13.8, 16.1) (46.9, 50.0) 16.1 22.4 23.8 29.2 7.6 12.3 25.9 5.2 47.9 44.7 6.1 12.8 47.2 (15.1, 17.1) (21.4, 23.6) (22.7, 25.0) (28.1, 30.6) (6.9, 8.4) (11.4, 13.2) (24.7, 27.0) (4.6, 5.8) (46.5, 49.3) (43.4, 46.1) (5.5, 6.7) (11.9, 13.7) (45.9, 48.6) The rates in 1998 were standardised to the age and sex profile of the 2008 population. 339 I. P. Donald et al. Table 3. Prevalence of no dependency, limited dependency and high dependency (shown as %)a (n = 4,482 in 1998; 5,290 in 2008) 1998 2008 No dependency Limited dependency High dependency No dependency Limited dependency High dependency 69.5 57.4 41.0 20.8 63.3 44.4 26.3 10.9 22.4 29.0 35.7 47.6 28.7 43.4 49.8 48.2 8.1 13.6 23.3 31.6 8.0 12.2 23.9 40.9 75.9 65.9 52.6 35.5 73.5 60.4 43.6 23.1 16.5 23.6 34.0 40.1 20.9 29.0 35.5 39.8 7.6 10.5 13.4 24.4 5.6 10.6 20.9 37.1 ............................................................................................................................. Men Women a 75–79 80–84 85–89 90+ 75–79 80–84 85–89 90+ 1998 data includes Care Home data from 2000. 29% and for women from 63 to 62% over 5 years. Comparable increases in the proportion living with a partner or spouse have been observed. Mean age at time of death in the county increased from 74.2 to 76.3 years for men and from 80 to 81.2 for women between 1998 and 2008. Changes in disability prevalence For those living at home, crude disability rates fell for seven domains of physical disability and increased for three (Table 2). The rates in 1998 were standardised to the age and sex profile of the 2008 population. There were significant reductions in adjusted disability rates for the seven domains: outdoor mobility, washing and dressing difficulty, ability to prepare a meal, sight, joint pain and requiring help with nailcare. The remaining domains were unchanged. Outdoor mobility was further examined using multinomial regression with short walks as the reference category: the 2008 sample was less likely to take exercise (Odds Ratio (OR) 0.63, 0.57–0.71, P < 0.001) and less likely to be housebound (OR 0.56, 0.47–0.66, P < 0.001) or walk only to the gate (OR 0.78, 0.65–0.93, P < 0.01). There was no difference in walking daily. Changes in mental health problems There are difficulties in gathering information about memory problems from a self-administered postal survey. However, 21% in 1998 and 15% in 2008 received help in completing the survey, and of these, 21% in 1998 and 36% in 2008 registered a memory problem. Small reductions in the prevalence of memory impairment and sadness were found, with no change in energy, Table 2. Dependency An estimate of the overall population’s dependency has been achieved through using the additional data on care home residents from the 2000 Care Home census combined with the 1998 survey. Independence rates improved in both genders and for each age group over 10 years, Table 3. Logistic regression for likelihood of independence 340 adjusted for age, gender and Townsend score gave beta coefficients of 0.484 for survey difference and 0.128 per year of age. This can be expressed as the 2008 sample being the equivalent of 3.8 years (95% CI 3.04, 4.54) more independent or ‘younger’ than the earlier sample. No interactions between sample and age, gender or Townsend score were found. Rates of high dependency also improved in both genders and for each age group, Table 3. Logistic regression for high dependency adjusted for age and gender gave beta coefficients of 0.234 for survey difference and 0.112 per year of age, or the equivalent of the 2008 sample being 1.9 years less dependent (95% CI 0.76, 3.12). The rates of high dependency for care home residents alone increased for men (51.2% in 2000 and 70.6% in 2008 (P = 0.053)) and women (69.9 and 79.8%, respectively (P = 0.025)). Discussion As the timing and methodology of the surveys were identical, the robustness of the conclusions from the comparison of these two surveys depends largely on the representativeness of those samples. Drawing the samples from the same general practices increases the comparability of the surveys, and they represent around 10% of the county’s population. The age and sex profile of the samples was similar to the county’s overall elderly population. The net immigration of older people into the county could have imported relatively fitter individuals. The response rates to each survey were high, and the age profile of the non-responders was similar in each survey. Previous work in Gloucestershire has demonstrated that non-responders to the EARRS survey have a similar 3-year mortality to responders [15]. Disabled subjects might contribute disproportionately to the reduced response rate in 2008, causing bias, but a recent US postal survey did not find this [8]. Our conclusions cannot be extended to more deprived populations or to non-Caucasian populations. The substitution of the missing data from care home residents in 1998 with data from a census 2 years later clearly can only provide an approximation to the true picture in 1998. Trends in disability prevalence in Gloucestershire The improvements in ADL were significant in the majority of domains and remarkably consistent in magnitude across each of the 10 practices, with their range of deprivation levels. The improvements were generally seen in both genders and across the age spectrum. An 84 year old today appears like an 80 year old 10 years ago, while serious disability may be delayed by 2 years. Mortality data showed lengthening lifespan of about 2 years over the decade, and so disability duration may have been stable. The improvements may be in keeping with the observed stable care home population numbers (residents over 75 have fallen from 7.8% (3,800 residents) in 2000 census to 7.1% (3,700) in 2008 (survey by Gloucestershire Care Home Support Team, unpublished)). There has also been a fall in numbers supported by homecare in Gloucestershire, falling from 60 households per 1,000 people over 75 in 2001 to 52 households in 2008 [16], which reflects national trends with the number of households receiving a service falling by 8% in recent years [17]. Of course both of these services reflect supply rather than need, and thresholds for care have almost certainly increased. There are comparatively few similar studies on sequential samples of older people in the UK. A similar study from Melton Mowbray in Leicestershire reported changes from 1981 to 1988 [3]. In that study, significant increases in independence levels were found over the time period for getting in and out of a chair and bed, dressing, bathing and getting to and from the toilet, while no differences were found for mobility around the home and feeding. The Health Survey for England in 2000 and 2005 [13] altered the phrasing of questions, making comparisons difficult. The General Household Surveys have more consistent questioning, and no convincing change in disability or self-reported health for older people over the period 1980–2001 has been found [18]. A study comparing 65 year olds in the UK between 1991 and 1996 showed no significant changes in disability [4]. International studies have shown conflicting evidence with some reporting positive changes in disability [2, 19], while most report increasing prevalence of disease [2, 20]. The improvements in disability were not reflected in improvements in energy, a measure of self-rated health, across gender and age groups. The earlier study from Leicestershire found a deterioration in self-rated health in the second sample while disability improved [21]. Trends in self-rated health may therefore not reflect trends in disability. In the face of society’s anxiety about the burden of an ageing population, this study provides some encouragement that older people today are fitter than a decade ago and may remain independent for longer. The onset of significant disability in ADL may be delayed by 4 years, and it remains possible that the years requiring support are stable. Key points • Prevalence of disability affecting ADL showed reductions over 10 years. • Findings were consistent across all age groups of older people and both genders. • Dependency rates in care homes have increased. • Self-rated health has been stable and does not reflect the improvements in disability. Acknowledgements I am grateful to Dr Anita Wood for her assistance with the 2008 survey. We are extremely grateful to the general practices — doctors, nurses and administrative staff — who made these surveys possible. The practices were Hucclecote Surgery, Gloucester; Heathville Road Surgery, Gloucester; Forest Health Care, Cinderford; Coleford Health Centre; Beeches Green Health Centre, Stroud; Hadwen Practice, Gloucester; Painswick Surgery; Frithwood Surgery, Bussage; Abbotswood Surgery, Brockworth; and Barnwood Medical Practice, Gloucester. Conflicts of interest None. Funding The work in 1998 was funded by a grant from the Edith Mackay bequest. The 2000 Care Home census was funded by the Whole System Group, Gloucestershire Health Authority. The survey in 2008 was funded by an SpR start-up grant from the British Geriatrics Society. Supplementary data Supplementary data mentioned in the text is available to subscribers in Age and Ageing online. References 1. Office for National Statistics October 2008. www.statistics. gov.uk/CCI/nugget.asp?ID=934&Pos=6&ColRank=2&Rank=1000 (20 February 2010, date last accessed). 2. Lafortune G, Balestat G. 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Statistical Methods in Medical Research. 4th editionOxford: Blackwell Science. (Section 5.3). Age and Ageing 2010; 39: 342–349 doi: 10.1093/ageing/afq016 Published electronically 15 March 2010 15. Donald IP, Bulpitt CJ. The Gloucestershire Longitudinal Study of Disability: outcomes in nonresponders, responders, and subsequent defaulters. J Clin Epidemiol 1998; 51: 1305–10. 16. Dr Foster Intelligence: Key Indicators Graphical System (KIGS). www.drfoster.co.uk/localgovernment/kigs.asp. (20 February 2010, date last accessed). 17. Community Care Statistics 2008 Home Care Services for Adults, England. Health and Social Care Information Centre March 2009. www.ic.nhs.uk. (15 December 2009, date last accessed). 18. Office of National Statistics. Living in Britain 2001. The General Household Survey 2001. Supplementary report on people aged 65 and over. London: ONS. 2002. 19. Freedman VA, Martin LG, Schoeni RF. Recent trends in disability and functioning among older adults in the United States: a systematic review. JAMA 2002; 288: 3137–46. 20. Parker MG, Thorslund M. Health trends in the elderly population: getting better and getting worse. The Gerontologist 2007; 47: 150–8. 21. Spiers N, Jagger C, Clarke M. Physical function and perceived health: cohort differences and interrelationships in older people. J Gerontol B Psychol Sci Soc Sci 1996; 51: S226–33. Received 20 June 2009; accepted in revised form 13 January 2010 © The Author 2010. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For Permissions, please email: [email protected] Health, social and lifestyle factors in entry to residential aged care: an Australian longitudinal analysis HAL KENDIG1, COLETTE BROWNING2, ROBERT PEDLOW3, YVONNE WELLS4, SHANE THOMAS5 1 Ageing, Work, and Health Research Unit, The University of Sydney, Sydney, New South Wales, Australia Medicine, Monash University, Melbourne, Victoria, Australia 3 Safe Work Australia, Canberra, Australian Capital Territory, Australia 4 Lincoln Centre for Research on Ageing, La Trobe University, Melbourne, Victoria, Australia 5 School of Primary Health Care, Monash University, Melbourne, Victoria, Australia 2 Address correspondence to: H. Kendig. Tel: +61 2 9351 9049; Fax: +61 2 9351 9566. E-mail: [email protected] Abstract Background: strategies to enable older people to remain in their own homes require information on potential intervention areas and target groups for health promotion and healthcare services. Objective: this study aimed to identify socioeconomic, health and lifestyle factors in entry to residential aged care facilities. Design: a prospective cohort study was conducted from 1994 to 2005. Setting: the information source was the Melbourne Longitudinal Studies on Healthy Ageing Program. Subjects: one thousand Australians aged 65 years and over living in the community were used as baseline sample. 342
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