Risk factors for falls in hospitalized patients with cancer: A systematic review and meta-analysis

Wang, Guo-Zhou; Chen, Lei; Yu, Simiao; Li, Wenli; Zhao, Jing

doi:10.1016/j.apjon.2022.100107

Cited by 8 publications

(6 citation statements)

References 44 publications

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“…In the present study, most patients had a chronic disease, particularly hypertension, coronary artery disease, depression, hypoglycemic symptoms 21 or cancer, and were regularly taking medications for their chronic diseases 17 . These treatments may involve the use of medications, such as antidepressants, antipsychotics, benzodiazepines, diuretics, sedatives, and chemotherapy drugs, which could exacerbate the risk of falls in adult patients with chronic illnesses, leading to muscle weakness, poor balance, impaired proprioception, impaired cognition, and functional disabilities, particularly in the three units reflecting the highest HIIFRM fall scores 22,23 . During pregnancy, women experience significant physiological, anatomical and metabolic changes distinct from acute or older individuals.…”

Section: Discussionmentioning

confidence: 82%

“…17 These treatments may involve the use of medications, such as antidepressants, antipsychotics, benzodiazepines, diuretics, sedatives, and chemotherapy drugs, which could exacerbate the risk of falls in adult patients with chronic illnesses, leading to muscle weakness, poor balance, impaired proprioception, impaired cognition, and functional disabilities, particularly in the three units reflecting the highest HIIFRM fall scores. 22,23 During pregnancy, women experience significant physiological, anatomical and metabolic changes distinct from acute or older individuals. As pregnancy progresses, factors such as pregnancy-related hypotension, frequent urination, and shifts in the body's center of gravity can increase the risk of falling.…”

Section: Discussionmentioning

confidence: 99%

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Validating the accuracy of the Hendrich II Fall Risk Model for hospitalized patients using the ROC curve analysis

Hu,

Sun,

Lin

et al. 2024

The Kaohsiung J of Med Scie

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This retrospective study was conducted at a medical center in southern Taiwan to assess the accuracy of the Hendrich II Fall Risk Model (HIIFRM) in predicting falls. Sensitivity, specificity, accuracy, and optimal cutoff points were analyzed using receiver operating characteristic (ROC) curves. Data analysis was conducted using information from the electronic medical record and patient safety reporting systems, capturing 303 fall events and 47,146 non‐fall events. Results revealed that at the standard threshold of HIIFRM score ≥5, the median score in the fall group was significantly higher than in the non‐fall group. The top three units with HIIFRM scores exceeding 5 were the internal medicine (50.6%), surgical (26.5%), and oncology wards (14.1%), indicating a higher risk of falls in these areas. ROC analysis showed an HIIFRM sensitivity of 29.5% and specificity of 86.3%. The area under the curve (AUC) was 0.57, indicating limited discriminative ability in predicting falls. At a lower cutoff score (≥2), the AUC was 0.75 (95% confidence interval: 0.666–0.706; p < 0.0001), suggesting acceptable discriminative ability in predicting falls, with an additional identification of 101 fall events. This study emphasizes the importance of selecting an appropriate cutoff score when using the HIIFRM as a fall risk assessment tool. The findings have implications for fall prevention strategies and patient care in clinical settings, potentially leading to improved outcomes and patient safety.

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Section: Discussionmentioning

confidence: 82%

Section: Discussionmentioning

confidence: 99%

Validating the accuracy of the Hendrich II Fall Risk Model for hospitalized patients using the ROC curve analysis

Hu,

Sun,

Lin

et al. 2024

The Kaohsiung J of Med Scie

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“…In the present study, unlike other studies, it was observed that the most common minor risk factor for falling was seen to be the presence of chronic disease, while the most common major risk factor was identified as dizziness. By contrast, the least common minor risk factor for falling was unconsciousness, while the least common major risk factor was physical disability (Zhao et al, 2022).…”

Section: Discussionmentioning

confidence: 90%

Assessment of Fall Risk in Cancer Patients Receiving Palliative Care

Cubukcu,

Şimşek Yurt,

Müderrisoğlu

2024

Samsun Sağlık Bilimleri Dergisi

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Aim: This study aims to evaluate fall risk factors in cancer patients receiving palliative care units. Methods: This cross-sectional descriptive study was performed on 122 cancer patients who were served from the palliative care unit between 01 October and 20 November 2020. The patient’s functional status was evaluated with Katz'sarararTTe Index for Activities of Daily Living. The data were collected using the Itaki Fall Risk Scale. Results: The mean age of patients was 57.32±12.10 years. The fall risk score of the patients was found to be 17.25±6.20. The risk of falling was higher in the elderly, those with chronic disease, diagnosed with lung cancer, and a history of falling variables. The most common minor risk factor was the presence of chronic disease, and the most common major risk factor was dizziness. Conclusion: Fall risk is high in cancer patients receiving palliative care. Cancer patients receiving palliative care treatment should be evaluated in terms of fall risk.

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“…The hospitalized patients are in unfamiliar environments and routines; present pain; are commonly under the influence of psychotropic drugs, anesthetics, or opioid analgesics; are connected to drains, tubes, or venous catheters; and have a loss of locus of control in performance of personal activities and a physical dependency on staff. In this context, a recent meta-analysis identifies 11 risk factors for falls in hospitalized patients with cancer, including age, history of falls, opiates, benzodiazepines, steroids, antipsychotics, sedatives, radiation therapy, chemotherapy, the use of an assistive device, and length of hospitalization 6 . Another problem is that the trials have not preferentially evaluated hospitalized patients 1,3 .…”

Section: "The Road To Hell Is Paved With Good Intentions" -The Cognit...mentioning

confidence: 99%

“The road to hell is paved with good intentions” — the cognitive bias of immobility in in-patients at risk of falling

Teixeira

2023

Rev. Assoc. Med. Bras.

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Risk factors for falls in hospitalized patients with cancer: A systematic review and meta-analysis

Cited by 8 publications

References 44 publications

Validating the accuracy of the Hendrich II Fall Risk Model for hospitalized patients using the ROC curve analysis

Validating the accuracy of the Hendrich II Fall Risk Model for hospitalized patients using the ROC curve analysis

Assessment of Fall Risk in Cancer Patients Receiving Palliative Care

“The road to hell is paved with good intentions” — the cognitive bias of immobility in in-patients at risk of falling

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