Steffi G. Riedel-Heller

Prediction of institutionalization in the elderly. A systematic review

OBJECTIVE in the past decades, many studies have examined predictors of nursing home placement (NHP) in the elderly. This study provides a systematic review of predictors of NHP in the general population of developed countries. DESIGN relevant articles were identified by searching the databases MEDLINE, Web of Science, Cochrane Library and PSYNDEXplus. Studies based on population-based samples with prospective study design and identification of predictors by multivariate analyses were included. Quality of studies and evidence of predictors were determined. RESULTS thirty-six studies were identified; one-third of the studies were of high quality. Predictors with strong evidence were increased age, low self-rated health status, functional and cognitive impairment, dementia, prior NHP and a high number of prescriptions. Predictors with inconsistent results were male gender, low education status, low income, stroke, hypertension, incontinence, depression and prior hospital use. CONCLUSIONS findings suggested that predictors of NHP are mainly based on underlying cognitive and/or functional impairment, and associated lack of support and assistance in daily living. However, the methodical quality of studies needs improvement. More theoretical embedding of risk models of NHP would help to establish more clarity in complex relationships in using nursing homes.

Mild cognitive impairment: Long-term course of four clinical subtypes.

Objective: To empirically validate the expanded concept of mild cognitive impairment (MCI), which differentiates between four clinical subtypes—amnestic MCI–single domain, amnestic MCI–multiple domains, nonamnestic MCI–single domain, and nonamnestic MCI–multiple domains—and to examine the prevalence, course, and outcome of these four clinical MCI subtypes. Methods: We studied a community sample of 980 dementia-free individuals aged 75 years or older who participated in the Leipzig Longitudinal Study of the Aged (LEILA 75+). All participants were examined by neuropsychological testing based on 6 years of observation. The diagnoses of the four clinical MCI subtypes were made according to the original and to slightly modified criteria by Petersen et al. (2001) (both with a cutoff of 1.0 SD and with a cutoff of 1.5 SD). The complete range of outcome types (dementia, death, improvement, stable diagnosis, unstable diagnosis) was described for all subtypes. The relative predictive power of stable MCI for dementia onset was determined. Results: MCI–single domain is more frequent than MCI–multiple domains, and the nonamnestic MCI type is as frequent as the amnestic MCI type. The “MCI modified, 1.0 SD” criteria have the highest relative predictive power for the development of dementia (sensitivity = 74%, specificity = 73%). Alzheimer disease (AD) was the most common type of dementia at follow-up in all but one MCI subtype. Participants with nonamnestic MCI–multiple domains were more likely to progress to a non-AD dementia. Conclusions: It has been assumed that each MCI subtype is associated with an increased risk for a particular type of dementia. We can only partially agree with this.

Prediction of Dementia by Subjective Memory Impairment Effects of Severity and Temporal Association With Cognitive Impairment

CONTEXT Subjective memory impairment (SMI) is receiving increasing attention as a pre-mild cognitive impairment (MCI) condition in the course of the clinical manifestation of Alzheimer disease (AD). OBJECTIVES To determine the risk for conversion to any dementia, dementia in AD, or vascular dementia by SMI, graded by the level of SMI-related worry and by the temporal association of SMI and subsequent MCI. DESIGN Longitudinal cohort study with follow-up examinations at 1(1/2) and 3 years after baseline. SETTING Primary care medical record registry sample. PARTICIPANTS A total of 2415 subjects without cognitive impairment 75 years or older in the German Study on Aging, Cognition and Dementia in Primary Care Patients. MAIN OUTCOME MEASURES Conversion to any dementia, dementia in AD, or vascular dementia at follow-up 1 or follow-up 2 predicted by SMI with or without worry at baseline and at follow-up 2 predicted by different courses of SMI at baseline and MCI at follow-up 1. RESULTS In the first analysis, SMI with worry at baseline was associated with greatest risk for conversion to any dementia (hazard ratio [HR], 3.53; 95% confidence interval [CI], 2.07-6.03) or dementia in AD (6.54; 2.82-15.20) at follow-up 1 or follow-up 2. The sensitivity was 69.0% and the specificity was 74.3% conversion to dementia in AD. In the second analysis, SMI at baseline and MCI at follow-up 1 were associated with greatest risk for conversion to any dementia (odds ratio [OR], 8.92; 95% CI, 3.69-21.60) or dementia in AD (19.33; 5.29-70.81) at follow-up 2. Furthermore, SMI at baseline and amnestic MCI at follow-up 1 increased the risk for conversion to any dementia (OR, 29.24; 95% CI, 8.75-97.78) or dementia in AD (60.28; 12.23-297.10), with a sensitivity of 66.7% and a specificity of 98.3% for conversion to dementia in AD. CONCLUSION The prediction of dementia in AD by SMI with subsequent amnestic MCI supports the model of a consecutive 3-stage clinical manifestation of AD from SMI via MCI to dementia.

Review: Health Care Utilization and Costs of Elderly Persons With Multiple Chronic Conditions

This systematic literature review identified and summarized 35 studies that investigated the relationship between multiple chronic conditions (MCCs) and health care utilization outcomes (i.e. physician use, hospital use, medication use) and health care cost outcomes (medication costs, out-of-pocket costs, total health care costs) for elderly general populations. Although synthesis of studies was complicated because of ambiguous definitions and measurements of MCCs, and because of the multitude of outcomes investigated, almost all studies observed a positive association of MCCs and use/costs, many of which found that use/costs significantly increased with each additional condition. Several studies indicate a curvilinear, near exponential relationship between MCCs and costs. The rising prevalence, substantial costs, and the fear that current care arrangements may be inappropriate for many patients with MCCs, bring about a multitude of implications for research and policy, of which the most important are presented and discussed.

Prediction of institutionalisation in dementia. A systematic review.

Background/Aims: In the past decades, a substantial number of studies considered factors influencing institutionalisation of persons with dementia. This study reviews recent work on predictors of actual institutionalisation in dementia. Method: Relevant articles were identified by a systematic search of the literature. Studies were considered which included persons aged 65 and over, and whose results were based on prospective design and on multivariate statistical analyses. Results: Forty-two studies were identified. The rate of institutionalisation increased from 20% in the first year after diagnosis to 50% after 5 years. Median time to institutionalisation was estimated between 30 and 40 months. Predictors of institutionalisation were classified according to a provided conceptual framework in the categories sociodemographic and relationship characteristics of persons with dementia and caregivers, primary stressors, secondary stressors and resources. Conclusion: The overview of research activities in this area showed a lack of methodological strength in a large part of identified studies. Nevertheless, a lot of well-examined and less highlighted predictors could be identified.

AD dementia risk in late MCI, in early MCI, and in subjective memory impairment

To compare the risk of developing Alzheimers disease (AD) dementia in late mild cognitive impairment (LMCI), early MCI (EMCI), and subjective memory impairment (SMI) with normal test performance.

Mental disorders--who and what might help? Help-seeking and treatment preferences of the lay public.

BackgroundResearch on lay public’s attitudes toward the treatment of mental disorders is receiving increasing scientific attention. Most of the surveys on lay public attitudes have used rating approaches. However, in daily life, people are forced to make decisions. Therefore, we used a ranking approach to elucidate preferences of the lay public, aiming to reflect the real life decision-making process.ObjectiveWe investigated preferences of the lay public regarding sources of help and treatment options in case of mental disorder.MethodsIn the spring of 2001, a representative survey was carried out in Germany (n=5015). A personal fully structured interview was conducted which started with the presentation of a vignette depicting someone with either schizophrenia or major depression. Respondents were asked to make first and second choices regarding the recommendation of source of help and treatment. Furthermore, socio-demographic characteristics and illness behaviour as possible determinants were assessed and analysed using logistic regression.ResultsEven though most of the people advise professional help, especially from mental health professionals, a large gap remains between evidence-based treatment strategies and public opinion. Psychotherapy is by far the most favoured treatment. In contrast, psychotropic drug treatment was only suggested by the minority for first-choice treatment. Certain beliefs concerning illness and socio-demographic characteristics are associated with specific recommendations regarding source of help and treatment.ConclusionThe consequences are twofold. First, as mental health professionals are dealing with non-compliance especially to psychotropic drugs, they have to realise that basic beliefs and expectations may play a more prominent role than has been previously assumed. Consequently, they have to put far more effort into what is called psychoeducation. Secondly, public knowledge about mental disorders and their treatment strategies has to be enhanced by working with the mass media and looking for other tailored interventions.

The influence of age, gender and socio-economic status on multimorbidity patterns in primary care. first results from the multicare cohort study

BackgroundMultimorbidity is a phenomenon with high burden and high prevalence in the elderly. Our previous research has shown that multimorbidity can be divided into the multimorbidity patterns of 1) anxiety, depression, somatoform disorders (ADS) and pain, and 2) cardiovascular and metabolic disorders. However, it is not yet known, how these patterns are influenced by patient characteristics. The objective of this paper is to analyze the association of socio-demographic variables, and especially socio-economic status with multimorbidity in general and with each multimorbidity pattern.MethodsThe MultiCare Cohort Study is a multicentre, prospective, observational cohort study of 3.189 multimorbid patients aged 65+ randomly selected from 158 GP practices. Data were collected in GP interviews and comprehensive patient interviews. Missing values have been imputed by hot deck imputation based on Gower distance in morbidity and other variables. The association of patient characteristics with the number of chronic conditions is analysed by multilevel mixed-effects linear regression analyses.ResultsMultimorbidity in general is associated with age (+0.07 chronic conditions per year), gender (-0.27 conditions for female), education (-0.26 conditions for medium and -0.29 conditions for high level vs. low level) and income (-0.27 conditions per logarithmic unit). The pattern of cardiovascular and metabolic disorders shows comparable associations with a higher coefficient for gender (-1.29 conditions for female), while multimorbidity within the pattern of ADS and pain correlates with gender (+0.79 conditions for female), but not with age or socioeconomic status.ConclusionsOur study confirms that the morbidity load of multimorbid patients is associated with age, gender and the socioeconomic status of the patients, but there were no effects of living arrangements and marital status. We could also show that the influence of patient characteristics is dependent on the multimorbidity pattern concerned, i.e. there seem to be at least two types of elderly multimorbid patients. First, there are patients with mainly cardiovascular and metabolic disorders, who are more often male, have an older age and a lower socio-economic status. Second, there are patients mainly with ADS and pain-related morbidity, who are more often female and equally distributed across age and socio-economic groups.Trial registrationISRCTN89818205

Health habits of patients with schizophrenia

BackgroundThe aim of the study was to analyze the physical activity, dietary, drinking, and smoking habits of schizophrenia patients (SP).MethodsData from 194 schizophrenia outpatients collected using sections of the German National Health Interview and Examination Survey were compared with data from the German general population (GP). In addition to univariate data analyses, a multivariate regression analysis was performed.ResultsSchizophrenia patients have a supper snack more frequently, consume instant meals and calorie-reduced food more frequently, and eat healthy groceries more rarely. Though they drink less alcohol, a greater proportion currently smokes, smoking on average 4 cigarettes more per day. On workdays they spend less time with strenuous activities, and in leisure time a greater proportion is involved in no sports. Regression analysis revealed that schizophrenia by itself or in interaction with demographic variables influences physical activity as well as alcohol, nicotine, and healthy grocery consumption. Health habits were particularly disadvantageously affected by schizophrenia in connection with unemployment.ConclusionsSchizophrenia patients are an appropriate target group for public health interventions. They need information about a healthy diet and motivation to prepare their own meals, to quit smoking, and to exercise.

Mild Cognitive Impairment in General Practice: Age-Specific Prevalence and Correlate Results from the German Study on Ageing, Cognition and Dementia in Primary Care Patients (AgeCoDe)

Background: Although mild cognitive impairment (MCI) represents a high-risk factor for developing dementia, little is known about the prevalence of MCI among patients of general practitioners (GPs). Aims: Estimation of age-specific prevalence for original and modified concepts of MCI and their association with sociodemographic, medical and genetic (apoE Ε4 genotype) factors among patients of GPs. Methods: A GP practice sample of 3,327 individuals aged 75+ was assessed by structured clinical interviews. Results: Prevalence was 15.4% (95% CI = 14.1–16.6) for original and 25.2% (95% CI = 23.7–26.7) for modified MCI. Rates increased significantly with older age. Positive associations were found for apoE Ε4 allele, vascular diseases and depressive symptoms. Conclusion: MCI is frequent in elderly patients of GPs. GPs have a key position in secondary prevention and care of incipient cognitive deterioration up to the diagnosis of dementia.