The effect of contextual factors on unintentional injury hospitalization: from the Korea National Hospital Discharge Survey

• Main Authors: Hye Ah Lee (Author), Hyejin Han (Author), Seonhwa Lee (Author), Bomi Park (Author), Bo Hyun Park (Author), Won Kyung Lee (Author), Ju Ok Park (Author), Sungok Hong (Author), Young Taek Kim (Author), Hyesook Park (Author)
• Format: Book
• Published: BMC, 2018-03-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.
• Notes: 10.1186/s12889-018-5249-4; 1471-2458
• Keywords: Contextual effect; Hospitalization; Multilevel analysis; Unintentional injury; Public aspects of medicine; RA1-1270
• Source: BMC Public Health, Vol 18, Iss 1, Pp 1-9 (2018)

Abstract Background It has been suggested that health risks are affected by geographical area, but there are few studies on contextual effects using multilevel analysis, especially regarding unintentional injury. This study investigated trends in unintentional injury hospitalization rates over the past decade in Korea, and also examined community-level risk factors while controlling for individual-level factors. Methods Using data from the 2004 to 2013 Korea National Hospital Discharge Survey (KNHDS), trends in age-adjusted injury hospitalization rate were conducted using the Joinpoint Regression Program. Based on the 2013 KNHDS, we collected community-level factors by linking various data sources and selected dominant factors related to injury hospitalization through a stepwise method. Multilevel analysis was performed to assess the community-level factors while controlling for individual-level factors. Results In 2004, the age-adjusted unintentional injury hospitalization rate was 1570.1 per 100,000 population and increased to 1887.1 per 100,000 population in 2013. The average annual percent change in rate of hospitalizations due to unintentional injury was 2.31% (95% confidence interval: 1.8-2.9). It was somewhat higher for females than for males (3.25% vs. 1.64%, respectively). Both community- and individual-level factors were found to significantly influence unintentional injury hospitalization risk. As community-level risk factors, finance utilization capacity of the local government and neighborhood socioeconomic status, were independently associated with unintentional injury hospitalization after controlling for individual-level factors, and accounted for 19.9% of community-level variation in unintentional injury hospitalization. Conclusion Regional differences must be considered when creating policies and interventions. Further studies are required to evaluate specific factors related to injury mechanism.