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‘Inequalities in prevalence of hypertension, prehypertension, anti-hypertensive coverage, awareness, and effective treatment in 429 districts of Iran; a population-based STEPS 2016 small area spatial estimation model’

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Abstract

Purpose

While many studies have reported hypertension (HTN) and pre-hypertension (PHTN) in large geographic locations of Iran, information regarding district levels is missing. We aimed to examine inequalities in the prevalence of hypertension, prehypertension, anti-hypertensive coverage, awareness, and effective treatment of adults in districts of Iran.

Methods

We used 27,165 participants’ data from the STEPS 2016 study in Iran. A small area estimation model was carried out to predict HTN in the 429 districts of Iran. HTN and PHTN were defined based on the American Heart Association Guideline. Awareness of being hypertensive, treatment coverage, and effective treatment were also estimated.

Results

HTN’s crude prevalence was estimated to be in the range of 11.5–42.2% in districts. About PHTN, it was estimated to be 19.9–56.1%. Moreover, for awareness, treatment coverage, and effective treatment crude estimates ranged from 24.3 to 79.9%, 9.1 – 64.6%, and 19.5 – 68.3%, respectively, indicating inequalities in the distribution of aforementioned variables in 429 districts of Iran. Overall, better conditions were detected in central geographical locations and in females.

Conclusion

The inequality of increased blood pressure disorder and related measures are high in districts of Iran and pave the way for policymakers and local health organizers to use the findings of this study to address the inequity of existing resources and improve HTN control.

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Correspondence to Negar Rezaei.

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Esmaeil Mohammadi and Moein Yoosefi contributed equally.

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Mohammadi, E., Yoosefi, M., Shaker, E. et al. ‘Inequalities in prevalence of hypertension, prehypertension, anti-hypertensive coverage, awareness, and effective treatment in 429 districts of Iran; a population-based STEPS 2016 small area spatial estimation model’. J Diabetes Metab Disord 22, 1095–1103 (2023). https://doi.org/10.1007/s40200-023-01186-5

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