The MRC trial of assessment and management of older people in the community: objectives, design and interventions [ISRCTN23494848]
© Fletcher et al; licensee BioMed Central Ltd. 2002
Received: 20 June 2002
Accepted: 25 October 2002
Published: 25 October 2002
The benefit of regular multidimensional assessment of older people remains controversial. The majority of trials have been too small to produce adequate evidence to inform policy. Despite the lack of a firm evidence base, UK primary care practitioners (general practitioners) are required to offer an annual health check to patients aged 75 years and over.
Cluster-randomised factorial trial in primary care comparing a package of assessments (i) universal versus targeted assessment and (ii) management by the primary care team (PC) or a multidisciplinary geriatric assessment team (GM). The unit of randomization is the general practice.
Older people aged 75 and over eligible for the over 75s health check and excluding those in nursing homes or terminally ill were invited to participate. All participants receive a brief assessment covering all areas of the over 75s check. In the universal arm all participants also receive a detailed health and social assessment by a study nurse while in the targeted arm only participants with a pre-determined number and range of problems at the brief assessment go on to have the detailed assessment. The study nurse follows a standard protocol based on results and responses in the detailed assessment to make referrals to (i) the randomised management team (PC or GM) (ii) other medical services, health care workers or agencies (iii) emergency referrals to the GP. The main outcomes are mortality, hospital and institutional admissions and quality of life. 106 practices and 33,000 older people have been recruited to the trial.
Indications for possible benefit from regular assessment of elderly people came from early studies several decades ago in the UK which found high levels of undetected problems in elderly people [1–3] and highlighted the need for a systematic approach to problem detection. Around the same era, an approach emerged which emphasized function and disability in the medical care of elderly people and questionnaires were developed to assist in the assessment of a range of physical, mental and social dimensions . Doubts about the feasibility of routine assessment of elderly people  led to the notion of two stage targeted screening to identify those at greatest risk or greatest need [6–8]. In the 1980s results from three randomised controlled trials, which examined the benefit of socio-medical assessment, were published [9–12]. Two of these trials took place in the UK [9, 10] in the setting of general practice and one in Denmark among elderly people living in the community [11, 12]. These trials suggested some possible benefits on mortality and hospital admissions (mainly the Danish trial) but none of the trials provided convincing evidence for regular assessment of elderly people.
Department of Health Contract of Service with General Practitioners 1990
Annual invitation to each patient aged 75 and over to participate in consultation
Assessment should include where appropriate
- sensory function
- mental condition
- physical condition including continence
- use of medicines
- social environment
The principal objective of the MRC trial of assessment and management of older people in the community is to evaluate a package of multidimensional assessment and management of older people in the context of the 1990 contract of service. The two main components of the package are the method of assessment – Universal or Targeted- and the method of clinical management – multidisciplinary geriatric team (GM) or usual primary care (PC). A secondary objective is to compare different methods of administering a brief screening questionnaire (postal, lay or nurse) These three methods were chosen because they that had been advocated as part of an assessment process (14) (with obvious differences in cost implications) but no formal evaluation of their performance in a single trial has been carried out. We were interested in establishing whether response rates, levels of missing information and, for certain health conditions, sensitivity and specificity compared to measurements at the detailed assessment, varied for the three methods.
Description of procedures
All practices administer a brief assessment questionnaire to participants in the study either by post, or by a layperson, or by a nurse. Following the brief assessment, practices in the Universal arm carry out a detailed examination by the study nurse in all patients (irrespective of their responses on the brief assessment) while those in the Targeted arm carry out a detailed assessment only in those patients who "trigger" on the brief assessment. The study nurse follows a standard protocol based on results and responses in the detailed assessment to make referrals to (i) the randomised team (PC or GM)(ii) other medical services, health care workers or agencies (iii) emergency referrals to the GP.
Methods of assessment
The brief assessment questionnaire
The brief assessment questionnaire areas, specified in the GP contract and corresponding questions
Response scale and trigger
Living circumstances Carer for someone else at home Someone to call on for help Frequency of social contacts
Live alone or is carer and nobody to call on for help or rarely sees relatives/friends
Wash all over
Unable and no help
Unable and no help
Cut toe nails
Unable and no help
Cook hot meal
Unable and no help
Do light housework or simple repairs
Unable and no help
Difficulty keeping home warm
Often or always
Problems in making ends meet
Difficulty seeing newsprint
Feeling sad, depressed or miserable
Often or always
Problems with everyday memory
Difficulty managing finances
Problems remembering medication
Often or always
Coughed up blood
Severe shortness of breath sitting
Severe swollen legs
Unexpected weight loss
Falls in last six months
Once a week or more often
Once a week or more often
Use of medicines
Number of prescribed medicines
Walk 50 yards
Unable and no help
Go up and down stairs and steps
Unable and no help
Unable and no help
Lifestyle (not part of GP contract)
Use of alcohol in previous week Current smoker (amount daily) Physical activity
Not included as trigger
For nurse/lay only
Any other condition/problem warranting a detailed assessment
The detailed assessment
Criteria for referral to primary care team (PC) or geriatric evaluation and management team (GM) 1
Heart rate <50
Heart rate > = 110
ECG carried out for irregular pulse
Aged less than 80 years average repeat sitting systolic
> = 180 mmHg or sitting diastolic
> = 100 mmHg. To refer for either,
standing systolic must be > = 140 mmHg
Positive on Rose chest pain questionnaire
Severe leg oedema
Swelling of legs up to knees on getting up in the morning
Severe shortness of breath
Short of breath on talking
Recent unexplained weight loss of more than half a stone
GDS score >7 and no treatment or more than 6 months on present treatment
History of recent falls
> 4 falls in previous 6 months
MSU tested when patient reports urinary incontinence or has proteinuria or haematuria on dipstix
Other urinary problems (men)
Difficulty in micturition Nocturia more than twice nightly
Soiling 3 or more times a week
Faecal occult blood
Blood in motions and stool specimen is positive for blood
Change in bowel habits
Recent history of vomiting blood
Recent history of coughing up blood
Positive for glucose on dipstix
Outside normal ranges for haemoglobin, white cell count, platelets, TSH, glucose, sodium, potassium, urea, creatinine, albumin, calcium, bilirubin, alkaline phosphatase, aspartase-transaminase
Potential drug interactions
Modified version of the Stockley checklist
Any other serious condition warranting further investigation
Detailed assessment: referrals to other health professionals/agencies
Fail whispered voice test and no wax
VA <6/18 in either eye not corrected by pinhole
Memory Clinic /CPN
Moderate to severe cognitive impairment
Mini Mental state < 17 or < 12 if language section could not be completed
Continence advisor/community nurse
more than once a week and MSU not infected.
Leg/foot ulcers/ bed sores
Present on nurse examination
Corns, bunions, ingrowing or long toe nails or other treatable foot problem on examination
No help available for difficulties with dressing, cooking hot meal, carrying out light housework, washing and shopping
Lack of close confident or someone to call on for help
Difficulty in making end meet Difficulty in paying bills
Difficulty in keeping home warm No indoor toilet
The teams follow their "usual" practice and there was no attempt to impose a formal protocol. Information is collected on investigations, diagnoses, services and treatments that result from the referral and any further referrals.
The principal outcome measures for hypothesis testing are mortality, hospital and institutional admissions and quality of life. Mortality follow-up is achieved by registering all eligible patients with ONS for notification of death, date and cause of death. Hospital admissions are collected for each participant for a 2-year period from the time of the brief assessment using information from hospital discharge letters in the patients' GP records. Information collected includes specialty, dates of admission and discharge, diagnoses, specialty of consultant. The discharge letter is considered to be a reliable source since this is the routine method of providing information to general practitioners from hospital services. Institutional admissions are collected on an ongoing basis for each patient from the date of the baseline assessment. Quality of Life interviews are carried out in the patient's own homes by fieldworkers who are independent of the practice. The interviews take place (i) at baseline and prior to the assessment (ii) 18 months following the baseline interview (iii) 36 months following the baseline. The Quality of Life core interview schedule includes four dimensions from the Sickness Impact Profile (SIP) (mobility, self-care, home-management, social interaction) , and the Philadelphia Geriatric Morale Scale (PGMS), , a 17-item measure of morale specifically developed for use with older people.
We used slightly different follow-up periods for outcome collection since we would expect any effect on hospital admissions to be seen at an earlier rather than later stage whereas mortality effect might show some lag. Quality of life is measured both at 18 months and at 3 years, which covers the same period as both the hospital admissions and the mortality.
Use of services
Information on use of services is being collected for the economic analysis. Use of public sector services (health and social services) is collected through two sources (i) in the quality of life questionnaire at baseline, 18 and 36 months) (ii) through a postal questionnaire mailed to randomly selected cross sectional samples of patients at 6 monthly intervals across the follow-up period. This permits us to have information both from a longitudinal sample over the 3 years of the trial from participants in the quality of life sample while the cross sectional random sample provides a more representative sample across the follow-up period since it includes those those who may die or leave the practice.
Trial hypotheses and sample size
Sample size methods
Sample size calculations for mortality and hospital admissions were calculated from a program provided by Martin Shipley at University College London, Department of Epidemiology, using methods for cluster randomisation described in Shipley et al  and under the assumption that the rates follow a Poisson distribution. The program uses the formula
where study power is given by 1-β, Cβ is the critical value of the normal distribution in the upper tail of the standard normal curve, Cα/2 is the critical value of the normal distribution for a two sided value of alpha (in our case taken to be alpha = 0.01), λ is the average value of the underlying event rate, Δ is the difference to be detected between the event rate in the main randomised groups of the trial (universal minus targeted or GM minus PC), 2 σ2(1-κ) is the variance of the underlying event rates, nH is the harmonic mean of all 2 m sample sizes and 2 m is the number of clusters. We took the conservative assumption that the level of matching of the practices would be minimal or essentially zero although we did attempt to balance the practices by Jarman score and SMR by stratified randomization across the joint tertiles of SMR and Jarman. Expected mortality rates were based on ONS statistics for England and Wales  with an adjustment downwards of 0.7 of the background mortality rate on the basis that the trial population would have lower rates (healthy participant effect). Rates of hospital admission  were adjusted down on the basis of an expected "healthy" participant effect and additionally on the basis that hospital admissions might be under reported and that annual rates do not distinguish between persons and admissions. For hospital admission rates we therefore assumed that the rates might be a half of those published. Thus in both calculations we used conservative estimates of the rates. Sample sizes for institutional admissions could not be calculated as there are no national data on rates of institutional admission. The sample size calculations assumed an average of 500 eligible patients per cluster followed for an average of 3 years.
Sample size estimates for the quality of life measures used the formula given by Hsieh  based on the Z approximation,
N = 8(Sb 2 + Sw 2/m) (zα/2 + zβ)2/d2
where N is the total number of clusters, Sb 2 is the between cluster component of variance, Sw 2 is the within cluster component of variance, m is the number of individuals within each cluster, and zα/2 and zβ/2 are the critical points of the normal distribution for alpha of 0.01 and 1-β of 0.9 and d is the difference between randomised groups in the means of qol scores. Estimates of Sw 2 and d2 were based on SIP scores from pilot studies of 52 older people attending geriatric out patient clinics and POMS scores from 115 patients on the care of the elderly wards at the Hammersmith Hospital. We expected 75% of baseline responders to provide quality of life data at the 3 year end point (m = 350). Since no data were available for Sb 2 (which is expected to be considerably smaller than Sw 2) we used varying estimates of the intraclass correlation coefficient (Sb 2/ Sb 2 + Sw 2) (0.01, 0.02, 0.04).
Estimates of sample size
108 practices (with an average of 500 patients aged 75 years and over) are required to detect differences between Stage 1 assessment methods (targeted versus universal) of: at least 15% in mortality assuming a background mortality rate of approximately 60/1000 person years over an average follow up period of 3 years; at least 10% in 2 year hospital admissions assuming a background first admission rate of 150/1000 person years. This sample size is sufficient to detect differences between the two management strategies (GM and PC) of at least 22% in mortality and at least 15% in hospital admissions. Smaller numbers of practices are required to detect differences in quality of life. A random sample of 24 practices is adequate to detect differences between Stage 1 assessment methods of at least 15% in PGMS and SIP and between GM and PC of at least 25% in PGMS and SIP. The size of the effects to be tested were based on previous trials and a realistic expectation of what might be achievable and of public health importance.
The trial is being conducted in practices recruited through the MRC GP Research Framework with list sizes of between 200 and 700 patients aged 75 years and over and selected to be representative of the joint tertiles of Jarman and Standard Mortality Ratios (SMRs) in UK practices. To be eligible for randomisation in the trial, recruited practices first had to obtain the agreement of the local geriatrician to participate (in order to ensure no selection bias of geriatricians in practices subsequently randomised to GM or PC). Eligible patients were aged 75 years and over in the year the practice undertook the assessments, excluding anyone in long-term care or with terminal illness. Patients in residential or sheltered accommodation were included.
Method of allocation to groups
Allocation to groups was by a computer generated randomisation list, stratified by Jarman and SMR tertile as practices were recruited to the trial.
The over 75s check is a contractual obligation of general practitioners. The letter of invitation to the study was done in the context of the letter of invitation to the annual check. The letter of invitation informed patients that the check could be done as part of a research study with a brief description of the intervention (this varied according to the practice randomisation). Patients were given the opportunity to have the check carried out in the usual way and reassured that non-participation in the study would not affect their usual care.
Local Research Ethics Committee approvals were obtained for all the practices participating in the trial.
The principal analysis is of the components of the package of interventions and therefore all analyses will take account of the other main randomisation. The results will be presented for (i) universal versus targettted (ii) GM versus PC. In order to ensure that the method of administering the brief questionnaire does not influence the main randomisations, the analyses will also be adjusted for the 'nurse vs. lay vs. postal' randomised intervention. The primary population for analysis is the "Intention to Treat" population (i.e. all those eligible for the trial and invited to take part irrespective of participation). Pre-specified covariates are age, sex and (at practice level) SMR and Jarman score. There will be no sub-group analyses in the primary analysis. All analyses will take account of cluster randomisation which has the effect of increasing the standard errors of the estimates and therefore it is unlikely that spurious significant effects will be detected. Secondary analyses will be conducted as above on the "per protocol population"
The primary objective of the economic analysis is to determine the relative costs and costs per life year gained of the different components of the assessment and management packages. Cost analysis will compare the direct health and social care costs of assessments and the longer term costs of care and treatment following the interventions (use of services, hospital admissions, and instiututional admissions). Service use data over the follow-up period of the trial will be obtained from longitudinal samples (as part of the quality of life questionnaire) and from the repeated cross sectional samples.
Progress on trial
109 practices were randomised and study staff trained in the study protocol; three practices withdrew before carrying out any of the study interventions (one of these was also randomised to the quality of life collection). It was too late to replace these practices so the final achieved target is 3 practices short. 106 practices and 33,000 patients are participating in the trial. The practices are equally distributed over the Universal (n = 53) or Targeted (n = 53) arms and of the PC (n = 53) or GM (n = 53) arms of the trial.
This trial is, by far, the largest and most comprehensive study internationally to examine the benefits of multidimensional assessment of older people in the community. Although a number of trials have been published since the introduction of the 1990 contract, including three from the UK, they have, in common with previous trials, been too small to produce results of sufficient precision and certainty to inform policy decisions . Studies conducted in the US are difficult to translate to the UK health care setting. Previous trials have also suffered from a number of other methodological problems: individual patient randomisation in the same healthcare setting (e.g. general practice) which may lead to contamination of randomised groups and dilution of effect; lack of a clearly defined protocol for intervention and referral; and (in the US studies) low participation rates and over-representation of fit older people. One systematic review and three meta analyses of these trials have been published [30–33], but have come to different conclusions concerning benefits on major outcomes, such as mortality and hospital admissions. Our trial avoids some of these design problems by employing: randomisation at the general practice level, which reduces the possibility of contamination; clearly defined protocols for the intervention and referrals; minimal exclusion criteria (terminally ill or in institutional care); high power to test hypotheses on major outcomes. These outcomes were chosen because a number of trials had suggested possible benefits on mortality, institutional (or nursing home) and hospital admissions. Individual studies and meta analyses have also looked at outcomes such as functional decline or physical morbidity – we used comparable domains of health related quality of life as an outome to capture these aspects and also included morale and social interaction as other relevant outcomes. Our trial compares different strategies of multidimensional geriatric assessment. These different levels are analogous to the different intensities of screening described by Stuck and colleagues in their recent meta analysis (33), for example universal assessment with management by a specialist geriatric team in our trial is comparable to their category of "multidimensional geriatric assessment and follow-up" in the meta-analysis. Hence our results are applicable across differing health care contexts. Our trial interventions and referrals across a broad range of health care professionals and other agencies address disability and impairment as well as disease which we consider to be an appropriate balance rather than adopting either a purely medical or functional model of health at older ages.
There are a number of limitations of our trial. Cluster randomisation trials require substantially greater numbers than trials of individual randomisation, and are more susceptible to practice effects e.g. loss of all patients to follow-up if a practice withdraws. The large numbers also made certain aspects of data collection prohibitively expensive. For this reason we have not collected any detailed information on services and treatments already being received by trial participants ie prior to the trial interventions, although we will have some limited information on these if part of the criteria for referral. Also, funding did not permit collection on hospital admissions over a longer period. Nor were we able, for costs reasons, to repeat the intervention packages over several years or, to examine the benefits of annual assessment versus some other time period such a triennial assessment. A further limitation of our trial design was that it was not possible to have a control group (i.e. a group randomised to no intervention) because of the contractual obligation of general practitioners to offer an annual health check to the over 75s. It is extremely unfortunate that this policy was introduced (despite the lack of a firm evidence base) because it has meant that a properly controlled study cannot be conducted in the UK.
As with other trials, especially in health services research, there are issues of generalisability of the results to other relevant health care professionals (practice nurses, general practitioners and geriatricians) and to patients. The practices in the trial belong to the MRC General Practice Research Framework and, although the patients in those practices were representative of the wider patient population (in terms of deprivation and mortality), the general practitioners have a interest in being involved in research. However we have no reason to believe that the general practitioners or the nurses had any particular expertise in geriatric assessment or management. The geriatricians were recruited to the study by virtue of being the linked local geriatric service to the general practice and were not selected for any particular expertise or experience in research. Ensuring agreement of the local geriatricians to take part in principal, which was a criterion for randomisation of the practice (i.e. before knowledge of whether the practice was randomised to PC or GM), reduced the likelihood of selection bias of geriatricians. Nonetheless it will be important to describe the clinical management through the collection of process information so that, if the trial shows a benefit for a particular package of assessment and management, its components can be described.
The trial results are also of direct relevance to the "single assessment " recommended by the National Service Frameworks for Older people , in particular the decision on how and to whom the brief overview assessment should be targeted. The levels of benefit to be tested in the trial, if demonstrated, will result in important reductions in mortality, hospital and institutional admissions and improved quality of life. These results will be relevant, not only to the UK older population but also to many other countries and settings where health care of older people has become a policy priority.
All authors contributed to the design of the trial. AF wrote the manuscript and DJ, CB and AT provided comments. All authors approved the final manuscript.
Sponsor: Medical Research Council, Department of Health, Scottish Office
Trial Steering Committee: Professor Sir John Grimley Evans (Chair from Jan 2001), Professor Carol Brayne, Linda Davies (University of Manchester), Professor Mike Drummond (University of York), Professor Andy Haines (Chair 1994–2000), Professor Karen Luker, Dr Madge Vickers.
Practices from the Medical Research Council General Practice Research Framework (MRC GPRF): Director Dr Madge Vickers
- Williamson J, Stokoe IH, Gray S, et al: Old people at home:their unreported needs. Lancet. 1964, 1: 1117-20. 10.1016/S0140-6736(64)91803-3.View ArticlePubMedGoogle Scholar
- Thomas P: Experiences of two preventive clinics for the elderly. BMJ. 1968, 2: 357-360.View ArticlePubMedPubMed CentralGoogle Scholar
- Williams EI, Bennett FM, Nixon JV, et al: Socio medical study of patients over 75 in general practice. BMJ. 1972, 2: 445-448.View ArticlePubMedPubMed CentralGoogle Scholar
- Kane RA, Kane RL: Assessing the Elderly. Lexington, Massachussets, Lexington Books. 1981Google Scholar
- Barber JH, Wallis JB: The effects of a system of geriatric screening and assessment on general practice workload. Health Bulletin. 1982, 40: 125-132.PubMedGoogle Scholar
- Taylor R, Ford G, Barber JH: The elderly at risk. A critical review of problems and progress in screening and case-finding. Age Concern Research Perspective Monograph No 6 Mitcham Surrey: Age Concern.
- Barber JH, Wallis J, McKeating E: A postal screening questionnaire in preventive geriatric care. J R Coll Gen Pract. 1985, 35: 288-290.Google Scholar
- Bowns I, Challis D, Tong MS: Case finding in elderly people: validation of postal questionnaire. Br J Gen Prac. 1991, 41: 100-104.Google Scholar
- Tulloch AJ, Moore V: A randomised controlled trial of geriatric screening and surveillance in general practice. J Roy Coll Gen Pract. 1979, 29: 733-742.Google Scholar
- Vetter NJ, Jones DA, Victor CR: Effect of health visitors working with elderly patients in general practice: a randomised controlled trial. BMJ. 1984, 288: 369-372.View ArticlePubMedPubMed CentralGoogle Scholar
- Hendriksen C, Lund E, Stromgard E: Consequences of assessment and intervention among elderly people: a three-year randomised controlled trial. BMJ. 1984, 289: 1522-4.View ArticlePubMedPubMed CentralGoogle Scholar
- Hendriksen C, Lund E, Stromgard E: Hospitalization of elderly people. A 3-year controlled trial. J Am Geriatr Soc. 1989, 37: 117-22.View ArticlePubMedGoogle Scholar
- Department of Health: Terms of service for doctors in general practice. London DOH. 1989Google Scholar
- Royal College of General Practitioners: Preventive care of the elderly: a review of current developments. Occasional Paper 35, Royal College of General Practitioners. Edited by: Taylor RC, Buckley EG. 1987Google Scholar
- Rubenstein LZ, Stuck AE, Siu AL, Wieland D: Impacts of geriatric evaluation and management programs on defined outcomes: overview of the evidence. J Am Geriatr Soc. 1991, 398S-16S.Google Scholar
- Royal College of General Practitioners: Health checks for people aged 75 and over. Occasional Paper 59, Royal College of General Practitioners. Edited by: Williams EI, Wallace P. 1993Google Scholar
- Swan IR, Browning GG: The whispered voice as a screening test for hearing impairment. J R Coll Gen Pract. 1985, 35: 197.PubMedPubMed CentralGoogle Scholar
- McGraw PV, Winn B: Glasgow Acuity Cards: a new test for the measurement of letter acuity in children. Ophthal Physiol Opt. 1993, 13: 400-404.View ArticleGoogle Scholar
- Folstein MF, Folstein SE, McHugh PR: "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975, 12: 189-98. 10.1016/0022-3956(75)90026-6.View ArticlePubMedGoogle Scholar
- Sheik JI, Yesavage JA: Geriatric Depression Scale (GDS): Recent evidence and development of a shorter version. Clinical Gerontology. 1986, 37: 819-20.Google Scholar
- Bulpitt CJ, Shipley MJ, Demirovic J, Ebi-Kryston KL, Markowe HL, Rose G: Predicting death from coronary heart disease using a questionnaire Int. J Epidemiol. 1990, 19 (4): 899-904.Google Scholar
- Stockley IH: A pocket aide-memoire on drug interactions. Am J Hosp Pharm. 1975, 32 (4): 395-397.PubMedGoogle Scholar
- Bulpitt CJ, Benos A, Nicholl C, Fletcher AE: Should medical screening of the elderly be promoted?. Gerontology. 1990, 36: 230-245.View ArticlePubMedGoogle Scholar
- Bergner M, Bobbit RA, Carter WB, Gilson B: The Sickness Impact Profile: development and final revision of a health status measurement. Med Care. 1981, 19: 787-805.View ArticlePubMedGoogle Scholar
- Powell-Lawton M: The Philadelphia Geriatric Centre Morale Scale. A revision. J Gerontology. 1975, 30: 85-89.View ArticleGoogle Scholar
- Shipley MJ, Smith PG, Dramaix M: Calculation of power for matched pair studies when randomization is by group. Int J Epidemiol. 1989, 18 (2): 457-461.View ArticlePubMedGoogle Scholar
- Office of Population Censuses and Surveys: Mortality statistics. Area Series DH5 No 10. 1991Google Scholar
- Department of Health Office of Population Censuses and surveys: Hospital. In-Patient Enquiry Series MB4 no 29.
- Hsieh FY: Sample size formulae for intervention studies with the cluster as unit of randomization. Stat Med. 1988, 7 (11): 1195-1201.View ArticlePubMedGoogle Scholar
- Fletcher AE: Multidimensional assessment of elderly people. British Medical Bulletin. 1998, 54: 945-960.View ArticlePubMedGoogle Scholar
- Stuck AE, Siu AL, Wieland GD, Adams J, Rubensteiun LZ: Comprehensive geriatric assessment: a meta-analysis of controlled trials. Lancet. 1993, 342: 1032-6. 10.1016/0140-6736(93)92884-V.View ArticlePubMedGoogle Scholar
- van Haastregt JCM, Diederiks JPM, van Rossum E, de Witte LP, Crebolder HFJM: Effects of prevenetive home visists to elderly people living in the community: a systematic review. BMJ. 2000, 320: 754-8. 10.1136/bmj.320.7237.754.View ArticlePubMedPubMed CentralGoogle Scholar
- Elkan R, Kendrick D, Dewey M, Hewitt M, Robinson J, Blair M, Williams D, Brummell : Effectiveness of home based support for older people: systematic review and meta-analysis. BMJ. 2001, 323: 719-725. 10.1136/bmj.323.7315.719.View ArticlePubMedPubMed CentralGoogle Scholar
- Stuck AE, Egger M, Hammer A, Minder CE, Beck JC: Home visits to prevent nursing home admission and functional decline in elderly people: systematic review and meta-regression analysis. JAMA. 2002, 27;287 (8): 1022-8.Google Scholar
- Department of Health: National service framework for older people. London: DoH. 2001Google Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1472-6963/2/21/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.