TY - JOUR
T1 - Factors Affecting the Degree of Harm from Fall Incidents in Hospitals
AU - Ahn, Shinae
AU - Kim, Da Eun
N1 - Publisher Copyright:
© 2021 Korean Academy of Nursing Administration
PY - 2021/12
Y1 - 2021/12
N2 - 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.
AB - 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.
KW - Accidental falls
KW - Medical errors
KW - Patient safety
KW - Public reporting of healthcare data
KW - Risk factors
UR - http://www.scopus.com/inward/record.url?scp=85124046239&partnerID=8YFLogxK
U2 - 10.11111/jkana.2021.27.5.334
DO - 10.11111/jkana.2021.27.5.334
M3 - Article
AN - SCOPUS:85124046239
SN - 1225-9330
VL - 27
SP - 334
EP - 343
JO - Journal of Korean Academy of Nursing Administration
JF - Journal of Korean Academy of Nursing Administration
IS - 5
ER -