Evidence map›Paper›PMID 40547565›Full record

ArticleJournal of pharmaceutical policy and practice2025

Prescribing trends and patterns for antihypertensive agents in primary healthcare settings in Qatar: a retrospective observational study.

Nada Nabil Abdelkader, Ahmed Awaisu, Hazem Elewa, Ziyad Mahfoud, Samya Ahmad Al Abdulla, Amjad Owais, Maguy Saffouh El Hajj

Abstract read
In one paragraph

Article in Journal of pharmaceutical policy and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Nada Nabil AbdelkaderClinical Pharmacy and Practice Department, College of Pharmacy, QU Health, Qatar University, Doha, Qatar.
Ahmed AwaisuClinical Pharmacy and Practice Department, College of Pharmacy, QU Health, Qatar University, Doha, Qatar.ORCID https://orcid.org/0000-0002-9029-8925
Hazem ElewaClinical Pharmacy and Practice Department, College of Pharmacy, QU Health, Qatar University, Doha, Qatar.
Ziyad MahfoudBiostatistics and Healthcare Policy and Research, Weill Cornell Medicine, Qatar Foundation, Doha, Qatar.
Samya Ahmad Al AbdullaPrimary Health Care Corporation, Doha, Qatar.
Amjad OwaisPrimary Health Care Corporation, Doha, Qatar.
Maguy Saffouh El HajjClinical Pharmacy and Practice Department, College of Pharmacy, QU Health, Qatar University, Doha, Qatar.ORCID https://orcid.org/0000-0003-0770-4679

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: An observational retrospective study was conducted in the primary care setting in Qatar to evaluate the prescribing trends and patterns of antihypertensives in hypertensive patients. Methods: Included patients were adult patients (aged ≥18 years) diagnosed with essential hypertension and attending Primary Health Care Corporation (PHCC) clinics in Qatar between January 2017 and March 2021. A sample of 2185 patients was randomly selected. The data were collected from PHCC's electronic medical records system, Cerner©. Results: Angiotensin Converting Enzyme inhibitors (ACEIs) prescriptions decreased from 38% in 2017 to 21% in 2021, and that of Angiotensin Receptor Blockers (ARBs) from 37% in 2017 to 31% in 2021. Patients with prescribed Calcium Channel Blockers (CCBs) increased from 31% in 2017 to 40% in 2021. The prescribing of thiazide diuretics declined from 32% in 2017 to 9% in 2021. In 2017, the most prescribed antihypertensive class was ACEIs (38%), while the least prescribed antihypertensive class was loop diuretics (1.4%). In 2018, the most prescribed class of antihypertensives was CCBs (36%) and the least prescribed was vasodilators (0.1%). In 2019, 2020 and 2021, CCBs were the most prescribed. Conclusion: These findings are consistent with national and international guidelines for hypertension management and with published literature. Yet, there is still room for improvement to optimise antihypertensive prescribing practices. Prescribers need to address potential gaps and explore ways to enhance their hypertension management, so that patients have access to effective and evidence-based treatments.

Indexed as

antihypertensivesHypertensionprescribing patternsprescribing trendsQatar

Identifiers

PMID40547565
PMCPMC12180352

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.