The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
A systematic review of predictors and screening instruments to identify older hospitalized patients at risk for functional decline
Abstract
Aims and objectives. To determine a valid, reliable and clinical user‐friendly instrument, based on predictors of functional decline, to identify older patients at risk for functional decline. The predictors of functional decline are initially considered and, subsequently, the characteristics and psychometric qualities of existing screening instruments are investigated. Background. Functional decline is a common and serious problem in older hospitalized patients, resulting in a change in quality of life and lifestyle. Studies have shown that 30–60% of older people develop new dependencies in activities of daily living (ADL) during their hospital stay. Adverse health outcomes such as mortality, a prolonged hospital stay, nursing home placement and increased dependency of older people at home are the results. Not only are the personal costs high but also, in a rapidly growing older population, the impact on health‐care costs is also high. Results. Age, lower functional status, cognitive impairment, preadmission disability in instrumental activities of daily life (IADL), depression and length of hospital stay were identified as predictors of functional decline. Three screening instruments to identify hospitalized patients at risk for functional decline were found in the literature: the Hospital Admission Risk Profile, the Identification of Seniors at Risk and the Care Complexity Prediction Instrument. The reported validity was moderate. Reliability and the ease of use in the clinical setting were not well described. Conclusion. These three instruments should be further tested in a hospitalized older population. Relevance to clinical practice. Screening is a first step to identify patients at risk for functional decline and this will make it possible to treat patients who are identified so as to prevent functional decline. Because of their ability to observe and to guide the patients and the overall view they have, nurses play a key role in this process.
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Low mobility during hospitalization and functional decline in older adults
Zisberg, A., Shadmi, E., Sinoff, G., Gur‐Yaish, N., Srulovici, E., & Admi, H. (2011) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2010.03276.x · Cited by 393
Frailty and Chronic Kidney Disease: The Third National Health and Nutrition Evaluation Survey
Wilhelm-Leen, E. R., Hall, Y. N., Tamura, M. K., & Chertow, G. M. (2009) · The American Journal of Medicine · doi:10.1016/j.amjmed.2009.01.026 · Cited by 351
Risk of Continued Institutionalization After Hospitalization in Older Adults
Goodwin, J. S., Howrey, B., Zhang, D. D., & Kuo, Y.-F. (2011) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/glr171 · Cited by 116
Geyskens, L., Jeuris, A., Deschodt, M., Van Grootven, B., Gielen, E., & Flamaing, J. (2022) · Age and Ageing · doi:10.1093/ageing/afac007 · Cited by 70
Yang, P.-H., Lin, M.-C., Liu, Y.-Y., Lee, C.-L., & Chang, N.-J. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16234758 · Cited by 61
Metadata
- Authors
- Hoogerduijn, J. G., Schuurmans, M. J., Duijnstee, M. S., De Rooij, S. E., & Grypdonck, M. F.
- Venue
- Journal of Clinical Nursing
- Publisher
- Wiley
- Published
- 2006-11-21
- Volume
- 16
- Issue
- 1
- Pages
- 46-57
- ISSN
- 0962-1067 (ISSN-L)
- 1365-2702
- OpenAlex
- W1986009236
- Cited by
- 318
- References
- 40
- FWCI
- 0.18
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hoogerduijn, J. G., Schuurmans, M. J., Duijnstee, M. S., De Rooij, S. E., & Grypdonck, M. F. (2007). A systematic review of predictors and screening instruments to identify older hospitalized patients at risk for functional decline. Journal of Clinical Nursing. https://doi.org/10.1111/j.1365-2702.2006.01579.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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