Estimation of Injuries in a Population-based Study by Stratified Cluster Sampling and Network Scale-up Methods

Introduction: Today, one of the most important causes of morbidity and mortality among people all across the world is Injury. Injuries pose an important challenge for the health system and account for ۲۸% of the deaths per day in Iran. Iran is in the ۵th place for road traffic death rates globally.Objective: This was a cross sectional study aimed to estimate annual incidence rates of injury in individuals above ۱۵ in Kashan, Iran.Methods: In this population-based cross-sectional study, people above ۱۵ years in households residing in Kashan during ۲۰۱۸-۲۰۱۹ were studied The sample had a twofold design, Stratified Cluster Sampling method and network Scale-up method. Data analysis was performed using SPSS ۲۲ (Chi-square and T-test and Logistic regression analysis) and Stata ۱۴ software.Results: This study describes the study setting, sampling, data collection and management, quality control and assurance, and the statistical analysis. In this study, the annual incidence rate from all kinds of trauma  was estimated at ۷۰.۶۱(۶۲.۶۰-۷۸.۷۰) per ۱۰۰۰ person-years, and the death caused by injury was ۴.۶۳(۳۴.۳۲-۵۶.۱۲) per ۱۰۰۰ person-years. In addition, in network scale-up method incidence rate of all kinds of trauma was ۵۷.۱ and the death caused by trauma was ۳.۴۷ per ۱۰۰۰ person-years.Conclusion: population-based studies were used to evaluate injuries and outcomes of trauma, so that  managers realize where attention is needed regarding preventive programs in this city. Using indirect sampling techniques can be cost-effective and time-consuming, and can provide us with the information urgently needed.