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  • 2015

  • Deck, R.; Walther, A. L.; Staupendahl, A.; Katalinic, A. (2015): Einschränkungen der Teilhabe in der Bevölkerung - Normdaten für den IMET auf der Basis eines Bevölkerungssurveys in Norddeutschland. In: Die Rehabilitation 54 (6), S. 402-408. DOI: 10.1055/s-0035-1559670

    DOI: http://www.ncbi.nlm.nih.gov/pubmed/26676739 

    Abstract: BACKGROUND Medical rehabilitation in Germany is characterized by the biopsychosocial model of the ICF. Its complexity makes it less suitable for studies in rehabilitation sciences. For an implementation of the ICF, specific assessment instruments that are able to measure activity and participation efficiently in rehabilitation are needed. Instruments measuring social participation are rarely available in German language and have been employed only in a handful of empirical works. The "Index zur Messung von Einschränkungen der Teilhabe" (IMET) was developed in 2005 and measures participation of people with different chronic diseases as described in the ICF. The IMET has been applied in many studies in rehabilitation science, but as reference values were not available so far, the results could not be classified. METHOD In a population survey, 5 004 residents in Luebeck were randomly selected by the registration office and sent a short questionnaire. The questionnaire contained questions on the overall state of health, quality of life, prevalence of chronic diseases and limitations of participation (IMET). RESULTS The completed questionnaire was returned by 2 755 of 4 692 eligible people (58.7%). 731 residents declined participation. Therefore, the participation quota is 43.1%. The mean age of participants was 53 years (SD: 17.1), 53% were women.Limitations of participation varied according to sex and age. Men tended to be more limited in their participation. As expected, limitations in participation increased with age. Participants with a low level of education showed a significantly higher rate of participation restrictions than people with a higher level of education. The IMET correlated significantly with the health status and quality of life as well as with the prevalence of various chronic diseases. DISCUSSION The random sample of Luebeck inhabitants comprised people between 19 and 79 years of age. The age distribution of our sample deviated from the German population with younger people being underrepresented, and older people being overrepresented. With respect to the educational level, the random sample of the Hanseatic city showed a larger proportion of people with higher education.In this population sample, there was a sex and age-related variation in restriction in participation and this correlated highly with content-related constructs. Norm values for the IMET enable classification of limitations of participation for people undergoing rehabilitation or patients suffering from chronic diseases.

    Keywords: Adult, Age Distribution, Aged, Chronic Disease/epidemiology/psychology/rehabilitation, Disability Evaluation, Disabled Persons/psychology/statistics & numerical data, Female, Germany/epidemiology, Gesundheit, Health Status, Health Status Indicators, Humans, International Classification of Functioning, Disability and Health, Male, Middle Aged, Patient Participation/psychology/statistics & numerical data, Prevalence, Quality of Life/psychology, Reference Values, Risk Assessment, Social Participation/psychology, Soziale Teilhabe, Surveys and Questionnaires, Überblick

  • 2014

  • Künemund, Harald; Tanschus, Nele Marie (2014): The technology acceptance puzzle. Results of a representative survey in Lower Saxony. In: Zeitschrift fur Gerontologie und Geriatrie 47 (8), S. 641-647. DOI: 10.1007/s00391-014-0830-7

    DOI: https://doi.org/10.1007/s00391-014-0830-7 

    Abstract: It is widely taken for granted that the interest in technology decreases with increasing age. Many studies and especially large scale surveys seem to confirm declining technology acceptance; however, it is argued that composition effects (e.g. increasing proportions of women among the older age groups), cohort effects (e.g. experience with different technologies during the lifetime) and various living and health conditions (e.g. living alone, having children in the neighborhood and experience of falls) have to be taken into account and that these factors will have different impacts on the acceptance of different scenarios of assistive technologies. The analyses are based on data from a self-administered questionnaire (n = 2032, a representative random sample of individuals aged 50 years and above in Lower Saxony, Germany). The survey briefly introduced four scenarios of ambient assisted living (AAL) technologies. Multinominal logistic regression was used to explore the correlations of acceptance and the independent variables mentioned. The results show that the simple assumption of an age effect, i.e. technology acceptance generally declines with increasing age, is misleading. An answer to the question whether older people will make use of assistive technologies in the future should consider specific scenarios and also various socioeconomic variables.

    Keywords: 80 and over, Age Distribution, Aged, Assistenz, Attitude to Health, Biomedical Technology, Epidemiology, Female, Germany, Gerontologie, Humans, Male, Middle Aged, Numerical Data, Patient Acceptance of Health Care/psychology/statistics & numerical data, PSYCHOLOGY, Self-Help Devices, Socioeconomic Factors, Statistics, Surveys and Questionnaires
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