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Cited by 982

The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.

The Patient Who Falls: “It's Always a Trade-off”

Open access
Tinetti, Mary E., Kumar, Chandrika·2010·JAMA

Abstract

Falls are common health events that cause discomfort and disability for older adults and stress for caregivers. Using the case of an older man who has experienced multiple falls and a hip fracture, this article, which focuses on community-living older adults, addresses the consequences and etiology of falls; summarizes the evidence on predisposing factors and effective interventions; and discusses how to translate this evidence into patient care. Previous falls; strength, gait, and balance impairments; and medications are the strongest risk factors for falling. Effective single interventions include exercise and physical therapy, cataract surgery, and medication reduction. Evidence suggests that the most effective strategy for reducing the rate of falling in community-living older adults may be intervening on multiple risk factors. Vitamin D has the strongest clinical trial evidence of benefit for preventing fractures among older men at risk. Issues involved in incorporating these evidence-based fall prevention interventions into outpatient practice are discussed, as are the trade-offs inherent in managing older patients at risk of falling. While challenges and barriers exist, fall prevention strategies can be incorporated into clinical practice.

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Metadata

Authors
Tinetti, M. E., & Kumar, C.
Venue
JAMA
Published
2010-01-20
Volume
303
Issue
3
Pages
258
ISSN
  • 0002-9955 (ISSN-L)
  • 0098-7484
OpenAlex
W2124822907
Cited by
982
References
67
FWCI
149.42
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The Patient Who Falls: “It's Always a Trade-off”. https://app.cochat.ai/papers/10.1001/jama.2009.2024
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Tinetti, M. E., & Kumar, C. (2010). The Patient Who Falls: “It's Always a Trade-off”. JAMA. https://doi.org/10.1001/jama.2009.2024

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.