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Showing 2 results for Joinpoint Regression

L Khazaei, S Khodakarim, A Mohammadbeigi , A Alipour,
Volume 15, Issue 2 (9-2019)
Abstract

Background and Objectives: an important problem challenging cesarean section is its extensive use as a common method of delivery. Due to the growing trend of cesarean section in Iran in recent years, the natural delivery promotion program was implemented as one the programs incorporated in the Health System Reform Plan in 2014. In this study, the trend of changes in the percentage of CS delivery in Qom Province following the implementation of this program was evaluated.
 
Methods: This trend analysis that was performed in all cesarean deliveries in Qom Province from 2005 to 2018 using a joinpoint regression method.
 
Results: These results showed an annual increase of0.4% in the CS percentage 95% CI: -0.5 to  1.2), which was not statistically significant. A significant decrease was observed in the rate of CS in governmental hospitals. Conversely, in non-governmental hospitals, the percentage of CS increased significantly.
 
Conclusion: According to the findings of this study, after more than 3 years of implementation of health sector evolution plan, overall implementation of this plan failed to significantly reduce the overall process of cesarean delivery during this period in Qom province and achieve the predetermined goals.
Mohammadreza Balooch Hasankhani, Aliakbar Haghdoost, Yunes Jahani,
Volume 19, Issue 2 (9-2023)
Abstract

Background and Objectives: Time trend analysis of factors such as disease and mortality rates is a crucial component of health planning for any community. It allows for a more accurate interpretation of changes over time. This study was conducted to examine the performance of the Joinpoint regression model in analyzing time trends.
Methods: This study aims to first provide a simplified understanding of the Joinpoint regression model and then demonstrate its application on data regarding the 30-year trends of liver cancer mortality due to alcohol consumption in Iran.
Results: The results of the time trend analysis indicate that the age-standardized mortality rate of liver cancer due to alcohol use consumption has decreased by an average of 0.8% per year over the 30-year period in Iran (1990 to 2019). The projections also suggest that this declining trend will continue.
Conclusion: In general, the main advantage of the Joinpoint regression model over other models is its ability to identify periods where significant changes in trends have occurred. Based on the results, the mortality rate of liver cancer due to alcohol use consumption over the 30-year period in Iran can be divided into five periods with different rates of change.


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