| Da Eun Kim | 2 Articles |
Purpose
This study aimed to examine the factors influencing the degree of harm caused by fall incidents in hospitals. Methods This cross-sectional descriptive study used secondary data from the “Korean Patient Safety Incident Report 2019” and was based on the International Classification for Patient Safety conceptual framework. We analyzed a total of 4,176 fall incidents between January 1 and December 31, 2019, in Korea. Multinomial logistic regression analyses were conducted to identify the factors that influence the degree of harm from these incidents. Results Among the fall incidents, 443 (10.6%) were sentinel events, 2,514 (60.2%) were adverse events, and 1,219 (29.2%) were near misses. The factors associated with sentinel events were old age (≥60 years), gender, patient diagnosis, medical department, early detection after falls, long-term care hospital, and reporters. Adverse events were significantly associated with diagnosis, medical department, nurses’ night shift time, large bed size, location (i.e., operating room, recovery room, and intensive care unit), and reporters. Conclusion Both patient and incident characteristics are significantly associated with the degree of harm in hospitals. Therefore, multiple factors should be considered to establish healthcare policies and thus prevent fall risks and minimize damage following falls in hospitals. Citations Citations to this article as recorded by
Purpose
This study aimed to examine the prevalence of unmet healthcare needs and the factors that influence unmet healthcare needs among older people with cognitive impairment. Methods: A cross-sectional, descriptive design with secondary data from the 2017 National Survey of Older Koreans was used in this study. Data from 1,382 people over the age of 65 years with cognitive impairments were analyzed. Logistic regression analysis was conducted based on Andersen’s Behavioral Model of Health Services Use. Results Overall, 9.6% of the participants reported unmet healthcare needs during the previous 12 months. The main reasons for unmet healthcare needs were financial constraints (45.4%), mobility limitation (18.0%), and mildness of symptoms (14.9%). Higher unmet healthcare needs were significantly associated with fewer years of education, no family members providing caregiving or assistance with hospital visits, fewer close relatives, lower income, greater impairment in activities of daily living, and presence of depressive symptoms. Conclusion Our findings indicate that predisposing factors, enabling factors, and need factors were significantly associated with unmet healthcare needs among elderly individuals with cognitive impairment. Therefore, it is necessary to establish healthcare policies and strategies to improve the accessibility of healthcare services. Citations Citations to this article as recorded by
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