Article

Predictors of institutionalisation in incident dementia--results of the German Study on Ageing, Cognition and Dementia in Primary Care Patients (AgeCoDe study).

Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany.
Dementia and Geriatric Cognitive Disorders (Impact Factor: 2.81). 07/2012; 33(4):282-8. DOI: 10.1159/000339729
Source: PubMed

ABSTRACT In the past few decades, a number of studies investigated risk factors of nursing home placement (NHP) in dementia patients. The aim of the study was to investigate risk factors of NHP in incident dementia cases, considering characteristics at the time of the dementia diagnosis.
254 incident dementia cases from a German general practice sample aged 75 years and older which were assessed every 1.5 years over 4 waves were included. A Cox proportional hazard regression model was used to determine predictors of NHP. Kaplan-Meier survival curves were used to evaluate the time until NHP.
Of the 254 incident dementia cases, 77 (30%) were institutionalised over the study course. The mean time until NHP was 4.1 years. Significant characteristics of NHP at the time of the dementia diagnosis were marital status (being single or widowed), higher severity of cognitive impairment and mobility impairment.
Marital status seems to play a decisive role in NHP. Early initiation of support of sufferers may ensure remaining in the familiar surroundings as long as possible.

Full-text

Available from: Steffi Riedel-Heller, Apr 18, 2015
0 Followers
 · 
143 Views
  • [Show abstract] [Hide abstract]
    ABSTRACT: Multi-state transition models are widely applied tools to analyze individual event histories in the medical or social sciences. In this paper, we propose the use of (discrete-time) competing-risks duration models to analyze multi-transition data. Unlike conventional Markov transition models, these models allow the estimated transition probabilities to depend on the time spent in the current state. Moreover, the models can be readily extended to allow for correlated transition probabilities. A further virtue of these models is that they can be estimated using conventional regression tools for discrete-response data, such as the multinomial logit model. The latter is implemented in many statistical software packages and can be readily applied by empirical researchers. Moreover, model estimation is feasible, even when dealing with very large data sets, and simultaneously allowing for a flexible form of duration dependence and correlation between transition probabilities. We derive the likelihood function for a model with three competing target states and discuss a feasible and readily applicable estimation method. We also present the results from a simulation study, which indicate adequate performance of the proposed approach. In an empirical application, we analyze dementia patients’ transition probabilities from the domestic setting, taking into account several, partly duration-dependent covariates. Copyright © 2014 John Wiley & Sons, Ltd.
    Statistics in Medicine 09/2014; 33(22). DOI:10.1002/sim.6206 · 2.04 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Dementia is a main reason for nursing home admission. Information on institutionalization is often based on studies of limited methodological quality. We aimed to analyze time until nursing home admission since first coding of dementia diagnosis and factors associated with institutionalization in incident dementia patients compared to non-demented controls. We analyzed claims data of a German Health insurance company including a cohort of 1,440 patients with a first diagnosis of dementia and 6,988 age- and sex-matched controls aged 65 years and older. The follow-up was up to 5 years. We used Kaplan-Meier analysis for examining time until nursing home admission and cox regression for estimating crude and adjusted Hazard ratios. Dementia patients and controls were on average 78 years and about 55 % were males. The mean time to nursing home admission was 4.0 years in patients with dementia and 4.6 years for controls. After the 5-years observation-period 62.7 % (95 % CI 59.0-66.1) of dementia patients still lived in the community in comparison to 86.2 % (95 % CI 85.2-87.2) of controls. Cox regression models show that the risk for institutionalization is 3.45 (95 % CI 3.05-3.90) times higher in dementia patients in comparison to controls when adjusted for sex, age, and comorbidity. Our analysis shows a significant influence of dementia on institutionalization in comparison to age- and sex-matched controls, especially in the youngest age groups. Hence, the results add substantial information on the disease progression of dementia and are, therefore, of great importance for health-care as well as long-term care planning.
    Social Psychiatry and Psychiatric Epidemiology 06/2014; 50(1). DOI:10.1007/s00127-014-0911-3 · 2.58 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: We analyzed the differences in morbidity patterns of chronic diseases between long-term care dependent persons in nursing homes compared to those dwelling in the community. We also investigated morbidity differences between long-term care need stages in Germany. The study included claims data of one nationwide operating statutory health insurance in 2006. Inclusion criteria were age ≥ 65 years, minimum 1 out of 46 diagnoses in at least 3 quarters of the year (n = 8,670). A comparison population was formed with n = 114,962. Prevalences, relative risks, and odds ratios for the risk of nursing home care were calculated. In the bivariate analysis, only three chronic diseases - dementia, urinary incontinence, and chronic heart failure - showed a higher risk for nursing home care. Regression analysis revealed that only dementia showed higher odds related to the stage of nursing needs. Among the chronic diseases, only dementia shows a substantially elevated risk for nursing home care. Risk studies on other chronic diseases associated with higher risks of long-term care dependency and specific intervention strategies aiming at delaying or preventing nursing home admission should be developed.
    Zeitschrift für Gerontologie + Geriatrie 02/2014; DOI:10.1007/s00391-013-0556-y · 1.02 Impact Factor