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      Risk assessment during preventive home visits among older people

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          Abstract

          Background

          Preventive home visits (PHV) may contribute to identify risks and needs in older people, and thereby delay the onset of functional decline and illness, otherwise often followed by home care or admission to hospital or nursing homes. There is a need to increase knowledge about which factors are associated with different risk areas among older people, so that the PHV questionnaire focuses on relevant tests and questions to make the PHV more specific and have a clear focus and purpose.

          Objective

          The objective of this study was to examine associations between five kinds of risks: risk of falls, malnutrition, polypharmacy, cognitive impairment, and risk of developing illness and factors related to lifestyle, health, and medical diagnoses among older people living at home.

          Methods

          A cross-sectional study design was applied. PHV were conducted by nurses among 77-year-old people in an urban municipality and among ≥75-year-old people in a rural municipality. A questionnaire including tests and a risk assessment score for developing illness was used. Descriptive and inferential statistics including regression models were analyzed.

          Results

          The total sample included 166 persons. Poor perceived health was associated with increased risk of developing illness and risk of fall, malnutrition, and polypharmacy. Lifestyle and health factors such as lack of social support, sleep problems, and feeling depressed were associated with risk of developing illness. Risk of falls, malnutrition, polypharmacy, and cognitive impairment were also associated with increased risk of developing illness. None of the independent factors related to lifestyle, health, or medical diagnosis were associated with risk of cognitive impairment.

          Conclusion

          Poor perceived health was associated with health-related risks in older persons living at home. Preventive health programs need to focus on social and lifestyle factors and self-reported health assessment to identify older people at risk of developing illnesses.

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          Most cited references28

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          A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010

          The Lancet, 380(9859), 2224-2260
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            Mild Cognitive Impairment.

            As individuals age, the quality of cognitive function becomes an increasingly important topic. The concept of mild cognitive impairment (MCI) has evolved over the past 2 decades to represent a state of cognitive function between that seen in normal aging and dementia. As such, it is important for health care providers to be aware of the condition and place it in the appropriate clinical context.
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              The Vulnerable Elders Survey: a tool for identifying vulnerable older people in the community.

              To develop a simple method for identifying community-dwelling vulnerable older people, defined as persons age 65 and older at increased risk of death or functional decline. To assess whether self-reported diagnoses and conditions add predictive ability to a function-based survey. Analysis of longitudinal survey data. A nationally representative community-based survey. Six thousand two hundred five Medicare beneficiaries age 65 and older. Bivariate and multivariate analyses of the Medicare Current Beneficiary Survey; development and comparison of scoring systems that use age, function, and self-reported diagnoses to predict future death and functional decline. A multivariate model using function, self-rated health, and age to predict death or functional decline was only slightly improved when self-reported diagnoses and conditions were included as predictors and was significantly better than a model using age plus self-reported diagnoses alone. These analyses provide the basis for a 13-item function-based scoring system that considers age, self-rated health, limitation in physical function, and functional disabilities. A score of >or=3 targeted 32% of this nationally representative sample as vulnerable. This targeted group had 4.2 times the risk of death or functional decline over a 2-year period compared with those with scores <3. The receiver operating characteristics curve had an area of.78. An alternative scoring system that included self-reported diagnoses did not substantially improve predictive ability when compared with a function-based scoring system. A function-based targeting system effectively and efficiently identifies older people at risk of functional decline and death. Self-reported diagnoses and conditions, when added to the system, do not enhance predictive ability. The function-based targeting system relies on self-report and is easily transported across care settings.
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                Author and article information

                Journal
                J Multidiscip Healthc
                J Multidiscip Healthc
                Journal of Multidisciplinary Healthcare
                Journal of Multidisciplinary Healthcare
                Dove Medical Press
                1178-2390
                2018
                24 October 2018
                : 11
                : 609-620
                Affiliations
                [1 ]Department of Neurobiology, Care Sciences and Society, Division of Nursing, Karolinska Institutet, Stockholm, Sweden, astrid.fjell@ 123456ki.se
                [2 ]Department of Nursing, Western Norway University of Applied Sciences, Haugesund, Norway, astrid.fjell@ 123456ki.se
                [3 ]Department of Nursing Sciences, Ersta Sköndal Bräcke University College, Stockholm, Sweden
                [4 ]Hospital Pharmacies Enterprise, Western Norway, Bergen, Norway
                [5 ]Department of Research and Innovation, Helse Fonna, Haugesund Hospital, Haugesund, Norway
                [6 ]Institute of Clinical Medicine, University of Bergen, Bergen, Norway
                [7 ]FOUSAM, Western Norway University of Applied Sciences, Haugesund, Norway
                [8 ]Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden
                [9 ]Department of Medicine, Helse Fonna, Haugesund Hospital, Haugesund, Norway
                [10 ]Theme Aging, Karolinska University Hospital, Huddinge, Sweden
                Author notes
                Correspondence: Astrid Fjell, Department of Nursing, Western Norway University of Applied Sciences, Bjørnsonsgate 45, 5528 Haugesund, Norway, Tel +47 9115 3947, Email astrid.fjell@ 123456ki.se
                Article
                jmdh-11-609
                10.2147/JMDH.S176646
                6205137
                30425507
                613146cd-2ce8-408b-84f0-e971384f2835
                © 2018 Fjell et al. This work is published and licensed by Dove Medical Press Limited

                The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.

                History
                Categories
                Original Research

                Medicine
                preventive home visits,older adults,risk assessment,developing illness,perceived health,social factors,logistic regression analysis,lifestyle

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