Fall risk in older adults hospitalized with tumours: Contributing factors and prediction model
Abstract Aim Rates vary widely across hospitals globally and typically range from 3 to 11 falls per 1000 bed days and as 7–11 in Affiliated Hospital of Nantong University. This study determined to explore contributing factors and poor prognosis of fall in elderly tumour patients in China. Design A c...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-10-01
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| Series: | Nursing Open |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/nop2.1969 |
| _version_ | 1827820588846022656 |
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| author | Xiaoyan Liu Chen Dong Rui Zhao Zhifeng Gu Chi Sun |
| author_facet | Xiaoyan Liu Chen Dong Rui Zhao Zhifeng Gu Chi Sun |
| author_sort | Xiaoyan Liu |
| collection | DOAJ |
| description | Abstract Aim Rates vary widely across hospitals globally and typically range from 3 to 11 falls per 1000 bed days and as 7–11 in Affiliated Hospital of Nantong University. This study determined to explore contributing factors and poor prognosis of fall in elderly tumour patients in China. Design A cross‐sectional study. Methods 161 older adults were invited to participate in this study and completed a self‐reported questionnaire, took blood tests, and received the exam of musculoskeletal ultrasound. Results Among 161 patients, falls occurred in 41 cases, accounting for 24.8%. 51.6% of older adults suffered from intermediate‐to‐high risk of falls. Fall history, reduced self‐care ability, sleep disturbance, hearing impairment, hyperkyphosis, chronic disease, platelet count, and the thickness of left muscle rectus femoris (LF‐MLT), and left cross‐sectional area (LF‐CSA) were all contributing factors of fall, and higher risk of fall indicating lower quality of life. A fall prediction model was established in this study based on above contributing factors with good prediction efficiency (AUC = 0.920). Patient or public contribution The patient volunteers participated in this study and provided valuable data for the final analysis and the acquisition of conclusion. |
| first_indexed | 2024-03-12T01:30:33Z |
| format | Article |
| id | doaj.art-a7d8eca4ce0e4834a7cabc4971b78841 |
| institution | Directory Open Access Journal |
| issn | 2054-1058 |
| language | English |
| last_indexed | 2024-03-12T01:30:33Z |
| publishDate | 2023-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | Nursing Open |
| spelling | doaj.art-a7d8eca4ce0e4834a7cabc4971b788412023-09-12T06:16:43ZengWileyNursing Open2054-10582023-10-0110107084709110.1002/nop2.1969Fall risk in older adults hospitalized with tumours: Contributing factors and prediction modelXiaoyan Liu0Chen Dong1Rui Zhao2Zhifeng Gu3Chi Sun4Geriatric Department Affiliated Hospital of Nantong University; Medical School of Nantong University Nantong ChinaResearch Center of Clinical Medical Affiliated Hospital of Nantong University Nantong ChinaResearch Center of Clinical Medical Affiliated Hospital of Nantong University Nantong ChinaDepartment of Rheumatology Affiliated Hospital of Nantong University Nantong ChinaGeriatric Department Affiliated Hospital of Nantong University; Medical School of Nantong University Nantong ChinaAbstract Aim Rates vary widely across hospitals globally and typically range from 3 to 11 falls per 1000 bed days and as 7–11 in Affiliated Hospital of Nantong University. This study determined to explore contributing factors and poor prognosis of fall in elderly tumour patients in China. Design A cross‐sectional study. Methods 161 older adults were invited to participate in this study and completed a self‐reported questionnaire, took blood tests, and received the exam of musculoskeletal ultrasound. Results Among 161 patients, falls occurred in 41 cases, accounting for 24.8%. 51.6% of older adults suffered from intermediate‐to‐high risk of falls. Fall history, reduced self‐care ability, sleep disturbance, hearing impairment, hyperkyphosis, chronic disease, platelet count, and the thickness of left muscle rectus femoris (LF‐MLT), and left cross‐sectional area (LF‐CSA) were all contributing factors of fall, and higher risk of fall indicating lower quality of life. A fall prediction model was established in this study based on above contributing factors with good prediction efficiency (AUC = 0.920). Patient or public contribution The patient volunteers participated in this study and provided valuable data for the final analysis and the acquisition of conclusion.https://doi.org/10.1002/nop2.1969cancerelderlyfallinpatientsnurseprediction model |
| spellingShingle | Xiaoyan Liu Chen Dong Rui Zhao Zhifeng Gu Chi Sun Fall risk in older adults hospitalized with tumours: Contributing factors and prediction model Nursing Open cancer elderly fall inpatients nurse prediction model |
| title | Fall risk in older adults hospitalized with tumours: Contributing factors and prediction model |
| title_full | Fall risk in older adults hospitalized with tumours: Contributing factors and prediction model |
| title_fullStr | Fall risk in older adults hospitalized with tumours: Contributing factors and prediction model |
| title_full_unstemmed | Fall risk in older adults hospitalized with tumours: Contributing factors and prediction model |
| title_short | Fall risk in older adults hospitalized with tumours: Contributing factors and prediction model |
| title_sort | fall risk in older adults hospitalized with tumours contributing factors and prediction model |
| topic | cancer elderly fall inpatients nurse prediction model |
| url | https://doi.org/10.1002/nop2.1969 |
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