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

Abstract

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 28% of the deaths per day in Iran. Iran is in the 5th 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 15 in Kashan, Iran.
 Methods: In this population-based cross-sectional study, people above 15 years in households residing in Kashan during 2018-2019 were studied The sample had a twofold design, Stratified Cluster Sampling method and network Scale-up method. Data analysis was performed using SPSS 22 (Chi-square and T-test and Logistic regression analysis) and Stata 14 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 70.61(62.60-78.70) per 1000 person-years, and the death caused by injury was 4.63(34.32-56.12) per 1000 person-years. In addition, in network scale-up method incidence rate of all kinds of trauma was 57.1 and the death caused by trauma was 3.47 per 1000 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.