Dissection of non-pharmaceutical interventions implemented by Iran, South Korea, and Turkey in the fight against COVID-19 pandemic

Drug prescription patterns and their association with mortality and hospitalization duration in COVID-19 patients: insights from big data

Background

Different medication prescription patterns have been associated with varying course of disease and outcomes in COVID-19. Health claims data is a rich source of information on disease treatment and outcomes. We aimed to investigate drug prescription patterns and their association with mortality and hospitalization via insurance data for a relatively long period of the pandemic in Iran.

Methods

We retrieved hospitalized patients' data from Iran Health Insurance Organization (IHIO) spanning 26 months (2020-2022) nationwide. Included were patients with ICD-10 codes U07.1/U07.2 for confirmed/suspected COVID-19. A case was defined as a single hospitalization event for an individual patient. Multiple hospitalizations of a patient within a 30-day interval were aggregated into a single case, while hospitalizations with intervals exceeding 30 days were treated as independent cases. The Anatomical Therapeutic Chemical (ATC) was used for medications classification. The two main study outcomes were general and intensive care unit (ICU) hospitalization periods and mortality. Besides, various demographic and clinical associate factors were analyzed to derive the associations with medication prescription patterns and study outcomes using accelerated failure time (AFT) and logistic regression models.

Results

During the 26 months of the study period, 1,113,678 admissions with COVID-19 diagnosis at hospitals working in company with IHIO were recorded. 917,198 cases were detected from the database, among which 51.91% were females and 48.09% were males. Among the main groups of medications, antithrombotics (55.84% [95% CI: 55.74-55.94]), corticosteroids (54.14% [54.04-54.24]), and antibiotics (42.22% [42.12-42.32]) were the top used medications among cases with COVID-19. Investigation of the duration of hospitalization based on main medication groups showed antithrombotics (adjusted median ratio = 0.94 [0.94-0.95]) were significantly associated with shorter periods of overall hospitalization. Also, antithrombotics (adjusted odds ratio = 0.74 [95%CI, 0.73-0.76]), corticosteroids (0.97 [0.95-0.99]), antivirals (0.82 [0.80-0.83]), and ACE inhibitor/ARB (0.79 [0.77-0.80]) were significantly associated with lower mortality.

Conclusion

Over 2 years of investigation, antithrombotics, corticosteroids, and antibiotics were the top medications for hospitalized patients with COVID-19. Trends in medication prescription varied based on various factors across the country. Medication prescriptions could potentially significantly impact the trends of mortality and hospitalization during epidemics, thereby affecting both health and economic burdens.

'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'

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.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-023-01186-5.