Literature DB >> 26838082

Wealth-related Inequality in Utilization of Antihypertensive Medicines in Iran: an Ecological Study on Population Level Data.

Amir Hashemi-Meshkini1, Abbas Kebriaeezadeh2, Hamidreza Jamshidi3, Ali Akbari-Sari4, Ehsan Rezaei-Darzi5, Parinaz Mehdipour6, Shekoufeh Nikfar2, Farshad Farzadfar5.   

Abstract

BACKGROUND: We aim to evaluate the trend of national and sub-national (provincial) utilization pattern of antihypertensive medicines in the Iranian population in the past decade and evaluate whether there is any wealth-related inequality in utilization of these medicines among different provinces.
METHOD: Either fixed effect or random effect linear panel data model was used to check the effect of wealth index on utilization of all antihypertensive medicines and each class, adjusting for other covariates including years of schooling, urbanization, mean age, and food type of provinces. The principal component analysis was applied to make summery measures for covariates using available national datasets.
RESULTS: The effect of wealth category on the utilization of all antihypertensive medicines among Iranian provinces was positive and significant (0.84; 95% CI: 0.09, 1.59). Accordingly as subgroup analysis, in BBs and CCBs classes, the effects of wealth category on utilization of medicines were positive and significant (0.36; 95% CI: 0.12, 0.60 and 0.27; 95% CI: 0.07, 0.40, respectively). However in ACEIs and Diuretics classes, the effects of wealth category were positive but not significant. In ARBs class, the effect of wealth on utilization was negative and not significant (-0.04; 95% CI: -0.27, 0.18).
CONCLUSION: According to this study, an inequality could be observed in Iran related to wealth category in utilization of total antihypertensive medicines between provinces.

Mesh:

Substances:

Year:  2016        PMID: 26838082     DOI: 0161902/AIM.009

Source DB:  PubMed          Journal:  Arch Iran Med        ISSN: 1029-2977            Impact factor:   1.354


  1 in total

1.  A machine learning approach to evaluate the state of hypertension care coverage: From 2016 STEPs survey in Iran.

Authors:  Hamed Tavolinejad; Shahin Roshani; Negar Rezaei; Erfan Ghasemi; Moein Yoosefi; Nazila Rezaei; Azin Ghamari; Sarvenaz Shahin; Sina Azadnajafabad; Mohammad-Reza Malekpour; Mohammad-Mahdi Rashidi; Farshad Farzadfar
Journal:  PLoS One       Date:  2022-09-21       Impact factor: 3.752

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.