Falls and Related Injuries in Hospitalized Patients With Cancer in Taiwan

Tsai, Li‐Yun; Campbell, Malcolm; Chen, Ching-Ju; Hsieh, Ruey‐Kuen; Chien, Hui-Hsien; Tsai, Jung‐Mei

doi:10.1097/jnr.0000000000000174

Cited by 7 publications

(8 citation statements)

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“…The risk factors investigated in this study were selected through a literature review and consisted of tumor site, comorbidities, sensory-neurologic de cits, mood and cognitive disorders (i.e., depression and delirium), previous fall history, treatment-induced fatigue, motor disorders requiring mobility assistance, medications (opioids, hypnotics, hypoglycemic agents. antihypertensives, diuretics), blood product use in the previous 24 hours, medical devices limiting ambulation, ambulatory aid use (i.e., crutches, cane or walker) [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18].…”

Section: Explored Risk Factorsmentioning

confidence: 99%

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Fall predictors in hospitalized patients living with cancer: a case–control study

Zeneli

Montalti

Masciangelo

et al. 2022

Support Care Cancer

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Purposeto identify fall predictors and develop an assessment tool to be used for screening hospitalized cancer patients at risk for fall. Methodsa retrospective case-control study was conducted in 2018 at a cancer center in Northern Italy. The study participants were 448 adult cancer patients admitted to the oncology ward from 2009 to 2013. The cases group consisted of 112 patients presenting at least one fall, while controls were randomly chosen by matching each case for age, sex and admission period with three patients who did not fall. Data for the fall predictors were extracted from the electronic medical records. Conditional logistic regression was used to evaluate the association between patient's characteristics and fall risk. Resultsthe overall prevalence of patients having at least one candidate fall predictor was high (98%). Seven of the studied variables showed an independent association with fall risk at multivariate analysis. These were tumor site, the presence of neurologic diseases, gait imbalance disorders, fatigue and the assumption of certain medications such as diuretics, hypnotics and opioids (odds ratios and 95% con dence intervals in brackets were 3.

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Section: Explored Risk Factorsmentioning

confidence: 99%

“…Several studies on the topic have previously been conducted on hospitalized patients living with cancer [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. However, studies evaluating fall risk tools in this clinical setting are few and the characteristics of study centers are not described in the published works.…”

Section: Introductionmentioning

confidence: 99%

Fall predictors in hospitalized patients living with cancer: a case–control study

Zeneli

Montalti

Masciangelo

et al. 2022

Support Care Cancer

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“…It is stated that some extrinsic factors also may increase the risk of falling. Among them, the characteristics of the floor, non-presence of family members in the room, the color and characteristics of the floor, the change of the level, the inability to reach the call ring, the inappropriate use of handrails, inadequate lighting were listed (Taylor and Hignett, 2016;Tsai et al 2007) . Although environmental preventive factors were considered part of the fall prevention program in this study, approximately one third of the falls were caused by environmental factors.…”

Section: Pprevention Of the Patient Fallsmentioning

confidence: 99%

Reviewing Patient’s Falls Following Implementation of the Fall Prevention Program

Karahan¹,

Kav²,

Uğurlu³

et al. 2020

SHYD

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Bu çalışma, bir üniversite hastanesinde düşme önleme programı sonrası ortaya çıkan hasta düşmelerinin incelenmesi amacıyla yapılmıştır. Yöntem: Bu çalışma, retrospektif türden bir çalışma olup, Ankara'da bir vakıf üniversite hastanesinde gerçekleştirilmiştir. Araştırmanın örneklemini, bir üniversite hastanesinde düşen 103 hasta oluşturmuştur. Bu üniversite hastanesinde hasta düşmelerini önleme programı zaman içinde yeniden düzenlenmiştir. Araştırmada veri toplamak için "Hendrich II Düşme Risk Değerlendirme Formu, İtaki Düşme Ölçeği ve Hasta Düşmelerini İnceleme Formu" kullanılmıştır. Bulgular: Çalışma sürecinde, hasta düşme oranı %0,16'dan %0,12'ye düşerken, düşme riski olan hastalar %25,3'ten %67,6'ya yükselmiştir. Hastaların %63,1'inde düşmenin hastaya ait faktörlerden kaynaklandığı belirlenmiştir. Düşme nedenlerinin ilk sıralarında hastaların yaşı, kullanılan riskli ilaçlar, denge sorunu, konfüzyon, baş dönmesi ve mobilizasyon sırasında yardım istememesi gibi durumlar düşme riskinin belirleyicisi olarak bulunmuştur. Sonuç: Çalışmada, tüm risk etmenlerinin göz önüne alındığı düşmeyi önleme programları geliştirilebileceği belirlenmiştir. Bu çalışmanın sonuçlarını göz önünde bulundurarak fonksiyonel güç ve dengenin iyileştirilmesi için düzenlemelerin yapılması, düşme önleme önlemleri hakkında yeterli bilgi sağlanması ve daha yakından izlenmesi önerilebilir. Ayrıca bu program, sağlık ekibinin yardımıyla, hastaları bu şekilde güçlendirerek düşmelerin azaltılmasına katkıda bulunan egzersizlere de odaklanmalıdır.

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“…Research in several countries indicates that older adults who fall cause numerous expenses to health services due to potential and frequent consequences, such as abrasions, bruises, lacerations of soft tissues, serious injuries, fractures, and intense trauma, with or without neurological damage (Abreu et al., 2018; Chen et al., 2017; Cruz et al., 2017; Florence et al., 2018; Hefny et al., 2016; Kobayashi et al., 2017; Portella & Lima, 2018; Rosa et al., 2015; Tsai et al., 2017).…”

Section: Introductionmentioning

confidence: 99%

Effects of the nursing intervention Fall prevention in older adults with arterial hypertension using NANDA‐I, NIC, and NOC

Moreira

Guerra²,

Ferreira³

et al. 2021

Int J of Nursing Knowl

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Purpose: To measure the effects of the NIC intervention fall prevention on the magnitude of the NANDA-I Risk for falls' risk factors and of NOC indicators related to falls in older adults with arterial hypertension. Background: Nurses can use nursing taxonomies to provide effective care in preventing falls in specific populations. Methods: Clinical, randomized, open, parallel, and multicenter trial following the CON-SORT recommendations for nonpharmacological trials. The clinical trial was registered. The research was conducted with 118 older adults allocated to intervention and control groups and matched by sex and age. The intervention was conducted in the participants' homes in three different moments and consisted of nursing activities belonging to the NIC Fall prevention and implemented with the aid of a protocol with operational definitions.Findings: Three months after the intervention, there was a significant intergroup difference in the frequency of Risk for falls and of the following factors/conditions: cluttered environment, unfamiliar setting, exposure to unsafe weather-related condition, insufficient anti-slip material in the bathroom, history of falls, acute illness, orthostatic hypotension, hearing impairment, and impaired vision. There was also a positive change in the magnitude of the following NOC indicators: risk control, cognitive orientation, knowledge: fall prevention, safe home environment, comfort level, vision compensation behavior, and leisure participation. Conclusions:The NIC intervention Fall prevention was effective in modifying risk factors belonging to Risk for falls and NOC indicators related to falls in older adults. Implications for nursing practice:The tested intervention is important and should be instituted, mainly by nurses from primary care services who make home visits to older adults.

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Falls and Related Injuries in Hospitalized Patients With Cancer in Taiwan

Cited by 7 publications

References 1 publication

Fall predictors in hospitalized patients living with cancer: a case–control study

Fall predictors in hospitalized patients living with cancer: a case–control study

Reviewing Patient’s Falls Following Implementation of the Fall Prevention Program

Effects of the nursing intervention Fall prevention in older adults with arterial hypertension using NANDA‐I, NIC, and NOC

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