Sharon Goldman1, Irina Radomislensky2, Arnona Ziv3, Kobi Peleg2,4. 1. Israel National Center for Trauma and Emergency Medicine, Gertner Institute for Epidemiology and Public Health Policy, Sheba Medical Center, Tel Hashomer, 52621, Israel. sharong@gertner.health.gov.il. 2. Israel National Center for Trauma and Emergency Medicine, Gertner Institute for Epidemiology and Public Health Policy, Sheba Medical Center, Tel Hashomer, 52621, Israel. 3. The Information and Computerization Unit, Gertner Institute for Epidemiology and Public Health Policy, Sheba Medical Center, Tel Hashomer, 52621, Israel. 4. Department of Disaster Management, School of Public Health, Tel Aviv University, Tel Aviv, 6997801, Israel.
Abstract
OBJECTIVES: To examine the relationship between neighborhood socioeconomic level (NSEL) and injury-related hospitalization. METHODS: The National Trauma Registry (INTR) and the National Population Census (NPC), including NSEL, were linked by individual identity number. Age-adjusted logistic regression predicted injury hospitalization. Mantel-Haenszel X2 was used for linear trends. NSEL was divided into 20 clusters. RESULTS: The population comprised 7,412,592 residents, of which 125,829 (1.7%) were hospitalized due to injury. The injury hospitalization rate was at least 42 per 10,000 per year. Except for the very low SEL, an inverse relationship between NSEL and all-cause injury was found: 46.1/10,000 in cluster 3 compared to 22.9/10,000 in cluster 20. Hip fracture-related hospitalizations among ages 65 + decreased as SEL increased (2.19% o in cluster 2 compared to 0.95% in cluster 19). In comparison with Jews, non-Jews were 1.5 times more likely to have an injury-related hospitalization [OR 1.5 (95% CI 1.50-1.55)]. CONCLUSIONS: The INTR and the NPC were successfully linked providing individual and injury hospitalization data. The outcomes confirm the strong relationship between injury mechanism and NSEL.
OBJECTIVES: To examine the relationship between neighborhood socioeconomic level (NSEL) and injury-related hospitalization. METHODS: The National Trauma Registry (INTR) and the National Population Census (NPC), including NSEL, were linked by individual identity number. Age-adjusted logistic regression predicted injury hospitalization. Mantel-Haenszel X2 was used for linear trends. NSEL was divided into 20 clusters. RESULTS: The population comprised 7,412,592 residents, of which 125,829 (1.7%) were hospitalized due to injury. The injury hospitalization rate was at least 42 per 10,000 per year. Except for the very low SEL, an inverse relationship between NSEL and all-cause injury was found: 46.1/10,000 in cluster 3 compared to 22.9/10,000 in cluster 20. Hip fracture-related hospitalizations among ages 65 + decreased as SEL increased (2.19% o in cluster 2 compared to 0.95% in cluster 19). In comparison with Jews, non-Jews were 1.5 times more likely to have an injury-related hospitalization [OR 1.5 (95% CI 1.50-1.55)]. CONCLUSIONS: The INTR and the NPC were successfully linked providing individual and injury hospitalization data. The outcomes confirm the strong relationship between injury mechanism and NSEL.
Entities:
Keywords:
Injury; National population census; Neighborhood statistical area; Socioeconomic position; Trauma registry
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