Quantitative Analysis of the Causes of Falls in Adult Hospitalized Patients Based on the Perspective of Text Mining.

Autor:	Zhang Y; General Medicine Department, the First Affiliated Hospital of Soochow University, Suzhou, China., Zhao G; School of Nursing, Faculty of Medicine of Soochow University, Suzhou, China., Zhao Z; Infection department ICU, the First Affiliated Hospital of Soochow University, Suzhou, China., Luo J; Thoracic Surgery, the First Affiliated Hospital of Soochow University, Suzhou, China., Feng P; Nursing Department, the First Affiliated Hospital of Soochow University, Suzhou, China., Tong Y; Nursing Department, the First Affiliated Hospital of Soochow University, Suzhou, China., Zhang J; Nursing Department, North District of Suzhou Municipal Hospital, Suzhou, China., Tan L; Nursing Department, Second Affiliated Hospital of Soochow University, Suzhou, China., Sui W; Nursing Department, the First Affiliated Hospital of Soochow University, Suzhou, China.
Jazyk:	angličtina
Zdroj:	Journal of investigative surgery : the official journal of the Academy of Surgical Research [J Invest Surg] 2024 Dec; Vol. 37 (1), pp. 2397578. Date of Electronic Publication: 2024 Sep 08.
DOI:	10.1080/08941939.2024.2397578
Abstrakt:	Objective: This study harnesses the power of text mining to quantitatively investigate the causative factors of falls in adult inpatients, offering valuable references and guidance for fall prevention measures within hospitals. Methods: Employing KH Coder 3.0, a cutting-edge text mining software, we performed co-occurrence network analysis and text clustering on fall incident reports of 2,772 adult patients from a nursing quality control platform in a particular city in Jiangsu Province, spanning January 2017 to December 2022. Results: Among the 2,772 patients who fell, 80.23% were aged above 60, and 73.27% exhibited physical frailty. Text clustering yielded 16 distinct categories, with four clusters implicating patient factors, four linking falls to toileting processes, four highlighting dynamic interplays between patients, the environment, and objects, and another four clusters revealing the influence of patient-caregiver interactions in causing falls. Conclusion: This study highlights the complex, multifactorial nature of falls in adult inpatients. Effective prevention requires a collaborative effort among healthcare staff, patients, and caregivers, focusing on patient vulnerabilities, environmental factors, and improved care coordination. By strengthening these aspects, hospitals can significantly reduce fall risks and promote patient safety.
Databáze:	MEDLINE
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