ArticleBMC cardiovascular disorders2022
Antihypertensive medicine use differs between Ghana and Nigeria.
Article in BMC cardiovascular disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Burden of hypertension and type 2 diabetes in Tamale Metropolis: a case study of Tamale teaching hospital.BMC public health · 2025Article
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Authors and funding
6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundNon-communicable diseases are a growing burden in many African countries; cardiovascular disease is the main disease. Antihypertensive medicines (AHM) are a common treatment option but we know little about community use in most low- and medium-income countries (LMIC). We aimed to describe the use of antihypertensive medicines (AHM) in Ghana and Nigeria using a novel data source.
methodsWe used data from mPharma-a health and pharmaceutical company which distributes pharmaceuticals to hospital and retail pharmacies. We extracted data using the anatomical therapeutic chemical (ATC) classification codes and calculated use in defined daily doses and explored patterns by class, medicines, dose, and originator or generic product.
resultsAHM use differed between Ghana and Nigeria. The most used classes in Ghana were angiotensin receptor blockers (ARB) followed by calcium channel blockers (CCB) and angiotensin-converting-enzyme inhibitors (ACEi). The five most used products were 16 mg candesartan, 30 mg nifedipine, 10 mg lisinopril, 5 mg amlodipine and 50 mg losartan. In Nigeria ARB, CCB and diuretics were widely used; the top five products were 50 mg losartan, 10 mg lisinopril, 30 mg nifedipine, 40 mg furosemide, and 5 mg amlodipine. More originator products were used in Ghana than Nigeria.
conclusionThe differences between Ghana and Nigeria may result from a combination of medical, contextual and policy evidence and reflect factors related to clinical guidance (e.g. standard treatment guidelines), accessibility to prescribers and the role of community pharmacies, and structure of the health system and universal health coverage including funding for medicines. We show the feasibility of using novel data sources to gain insights on medicines use in the community.
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