Longitudinal Predictors of Institutionalization in Old Age

Hajek, André; Brettschneider, Christian; Lange, Carolin; Posselt, Tina; Wiese, Birgitt; Steinmann, Susanne; Weyerer, Siegfried; Werle, Jochen; Pentzek, Michael; Fuchs, Ângela; Stein, Janine; Luck, Tobias; Bickel, Horst; Mösch, Edelgard; Wagner, Michael; Jessen, Frank; Maier, Wolfgang; Scherer, Martin; Riedel‐Heller, Steffi G.; König, Hans‐Helmut

doi:10.1371/journal.pone.0144203

Cited by 142 publications

(139 citation statements)

References 45 publications

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“…2019;40:e20180377 of the aged and their dependence to perform activities of daily living as limiting the care at home. This finding corroborates other national and international studies in which the aged with physical disabilities, dependence to perform basic activities of daily living and presence of chronic diseases were more likely to be institutionalized (17)(18)(19) . In addition to the intensity of care, the home structure was reported by the adult child caregivers as a factor that hinders care, making them consider the institutionalization of their parents, also identified in another study (18) .…”

Section: Discussionsupporting

confidence: 91%

Responsabilidade filial: quais as atitudes dos filhos sobre a institucionalização dos pais idosos?

Mocellin

Aires

Fuhrmann

et al. 2019

Rev. Gaúcha Enferm.

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Resumo OBJETIVO Analisar as atitudes de responsabilidade filial sobre a institucionalização dos pais idosos. MÉTODOS Estudo qualitativo com amostra intencional de 100 filhos cuidadores de idosos de duas Unidades de Saúde de Porto Alegre/RS. As informações foram coletadas em 2014, por meio de entrevista semiestruturada. A análise baseou-se na análise temática. Foi utilizado o software NVIVO® versão 10. RESULTADOS Elaboraram-se duas categorias de acordo com as questões do protocolo: possibilidade de institucionalização dos pais idosos e expectativa de cuidado. CONSIDERAÇÕES FINAIS A maioria dos filhos cuidadores não considerou a institucionalização dos pais idosos, por julgarem ser um dever deles o cuidado aos pais, e considerarem a institucionalização como abandono. A maioria dos filhos cuidadores possuía expectativa de ser cuidada pelos filhos e percebeu a institucionalização como forma de receber este cuidado. Os resultados do estudo contribuem para o fortalecimento da rede formal e informal ao idoso e seu filho cuidador.

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Section: Discussionsupporting

confidence: 91%

Responsabilidade filial: quais as atitudes dos filhos sobre a institucionalização dos pais idosos?

Mocellin

Aires

Fuhrmann

et al. 2019

Rev. Gaúcha Enferm.

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“…German [1], Singapore [12], Norway [15]) and sample sizes (e.g. n = 210 [1] or n = 7000 [9]) used in the determination of predictors of NHA. The commonly recognized risk factors include advanced age, functional and cognitive impairments, depression, caregiver burden, use of health services, prior hospitalization or nursing home use and dementia.…”

Section: Introductionmentioning

confidence: 99%

Development and validation of classifiers and variable subsets for predicting nursing home admission

Nuutinen¹,

Leskelä²,

Suojalehto³

et al. 2017

BMC Med Inform Decis Mak

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Background:In previous years a substantial number of studies have identified statistically important predictors of nursing home admission (NHA). However, as far as we know, the analyses have been done at the population-level. No prior research has analysed the prediction accuracy of a NHA model for individuals. Methods: This study is an analysis of 3056 longer-term home care customers in the city of Tampere, Finland. Data were collected from the records of social and health service usage and RAI-HC (Resident Assessment InstrumentHome Care) assessment system during January 2011 and September 2015. The aim was to find out the most efficient variable subsets to predict NHA for individuals and validate the accuracy. The variable subsets of predicting NHA were searched by sequential forward selection (SFS) method, a variable ranking metric and the classifiers of logistic regression (LR), support vector machine (SVM) and Gaussian naive Bayes (GNB). The validation of the results was guaranteed using randomly balanced data sets and cross-validation. The primary performance metrics for the classifiers were the prediction accuracy and AUC (average area under the curve). Results: The LR and GNB classifiers achieved 78% accuracy for predicting NHA. The most important variables were RAI MAPLE (Method for Assigning Priority Levels), functional impairment (RAI IADL, Activities of Daily Living), cognitive impairment (RAI CPS, Cognitive Performance Scale), memory disorders (diagnoses G30-G32 and F00-F03) and the use of community-based health-service and prior hospital use (emergency visits and periods of care). Conclusion:The accuracy of the classifier for individuals was high enough to convince the officials of the city of Tampere to integrate the predictive model based on the findings of this study as a part of home care information system. Further work need to be done to evaluate variables that are modifiable and responsive to interventions.

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“…Consequently, in order to be effective, such programs must be tailored to address the needs of older adults [35]. This is vital as losses in functional health are in turn related to adverse outcomes, including admission to nursing home [36] or frailty [37]. …”

Section: Resultsmentioning

confidence: 99%

The Curvilinear Effect of BMI on Functional Health - Evidence of the Long-Running German Ageing Survey

Hajek

König²

2017

Obes Facts

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Aims: We aimed at determining the effect of BMI on functional health among older Germans longitudinally. Methods: Data from four waves (2002-2014) of the German Ageing Survey (‘Deutscher Alterssurvey'; DEAS), a representative sample of community-dwelling individuals aged 40 years and above, were used. Functional health was quantified by the subscale ‘physical functioning' of the 36-Item Short Form Health Survey (SF-36). Fixed effects regressions were used to estimate the predictors of functional health. Linear, quadratic, and cubic terms were included for BMI (self-reported). Results: Fixed effects regressions showed significant linear, quadratic, and cubic effects of BMI on functional health in the total sample and in both sexes. Furthermore, regressions revealed that functional health decreased with increasing age in the total sample and in both sexes. In addition, changes in marital and employment status were significantly associated with changes in functional health in men, but not in women. Conclusion: Our data indicate that the greater the extreme of BMI (either higher or lower), the greater the risk for functional decline. Nutrition programs aimed at preventing changes to extreme BMI might be productive.

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Longitudinal Predictors of Institutionalization in Old Age

Cited by 142 publications

References 45 publications

Responsabilidade filial: quais as atitudes dos filhos sobre a institucionalização dos pais idosos?

Responsabilidade filial: quais as atitudes dos filhos sobre a institucionalização dos pais idosos?

Development and validation of classifiers and variable subsets for predicting nursing home admission

The Curvilinear Effect of BMI on Functional Health - Evidence of the Long-Running German Ageing Survey

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