Back

Widespread Self-Medication and Unsafe Access to Analgesics and NSAIDs in Urban Conakry, Guinea: Prevalence, Associated Factors, Risk Exposure Profiles, and Health-System Implications. A Cross-Sectional Study of 1,032 Participants.

LAWA GARANDJI, D.; BALDE, A. O.

2026-05-30 pharmacology and therapeutics
10.64898/2026.05.21.26353180 medRxiv
Show abstract

ABSTRACT Background: Self medication with analgesics and non steroidal anti inflammatory drugs (NSAIDs) is common in low- and middle income countries and may expose users to preventable adverse outcomes. Evidence from Guinea remains scarce. This study aimed to estimate the prevalence of self medication with analgesics and NSAIDs among pharmacy clients in urban Conakry, identify associated factors, and describe clinical risk situations. Methods: We conducted a pharmacy based analytical cross sectional study in 30 private pharmacies across Conakry, Guinea. A total of 1,032 participants seeking analgesics or NSAIDs were enrolled between November 3, 2012, and April 5, 2013. Self-medication was defined as acquisition or use without a valid medical prescription. Factors associated with self-medication were analysed using multivariable logistic regression. Results: Among 1,032 participants, 603 reported self medication (prevalence 58.4%). Previous unsupervised use was reported by 78.7%. The most frequently used medicines were paracetamol (56.9%, n=587), diclofenac (21.3%, n=220), ibuprofen (17.9%, n=185), and aspirin (3.9%, n=40). Overall, 68.0% (n=702) reported no knowledge of potential adverse effects. Clinical risk situations were frequent: gastrointestinal disorders (41.3%, n=426), hypertension (9.2%, n=95), and pregnancy exposure among reproductive age women (26.0%). In multivariable analysis, self medication was independently associated with previous analgesic/NSAID use (aOR = 2.8, 95% CI: 2.1 to 3.6), lack of knowledge of adverse effects (aOR = 1.9, 95% CI: 1.4 to 2.5), informal occupation (aOR = 1.6, 95% CI: 1.2 to 2.2), and age 18 to 59 years (aOR = 1.5, 95% CI: 1.1 to 2.1). Conclusions: In this pharmacy based study conducted in urban Conakry, self medication with analgesics and NSAIDs was common and frequently associated with limited awareness of potential adverse effects. These findings support the need for strengthened pharmaceutical regulation, pharmacist-led counselling, health literacy interventions, and improved access to primary care. Keywords: self medication; analgesics; NSAIDs; paracetamol; diclofenac; ibuprofen; pharmacy; Guinea; Conakry; drug safety; public health.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
PLOS ONE
5266 papers in training set
Top 6%
26.9%
2
British Journal of Clinical Pharmacology
21 papers in training set
Top 0.1%
18.8%
3
Frontiers in Pharmacology
111 papers in training set
Top 0.3%
6.8%
50% of probability mass above
4
Pharmacology Research & Perspectives
11 papers in training set
Top 0.1%
4.1%
5
PLOS Global Public Health
344 papers in training set
Top 4%
4.1%
6
The American Journal of Tropical Medicine and Hygiene
68 papers in training set
Top 0.5%
2.8%
7
Scientific Reports
3612 papers in training set
Top 43%
2.4%
8
Cureus
68 papers in training set
Top 2%
2.1%
9
Journal of Global Antimicrobial Resistance
17 papers in training set
Top 0.3%
1.9%
10
PeerJ
308 papers in training set
Top 6%
1.7%
11
JMIRx Med
32 papers in training set
Top 1%
1.5%
12
BJGP Open
13 papers in training set
Top 0.3%
1.5%
13
Systematic Reviews
15 papers in training set
Top 0.3%
1.4%
14
Genes
144 papers in training set
Top 2%
1.4%
15
BMJ Open
601 papers in training set
Top 11%
1.1%
16
Nicotine and Tobacco Research
13 papers in training set
Top 0.2%
1.1%
17
F1000Research
88 papers in training set
Top 3%
1.1%
18
Clinical Pharmacology & Therapeutics
25 papers in training set
Top 0.3%
1.0%
19
Pharmaceutics
24 papers in training set
Top 0.6%
1.0%
20
Frontiers in Psychiatry
87 papers in training set
Top 2%
0.9%
21
Computational and Structural Biotechnology Journal
242 papers in training set
Top 8%
0.6%
22
BioData Mining
22 papers in training set
Top 1.0%
0.6%
23
Molecular Pharmacology
17 papers in training set
Top 0.2%
0.6%
24
eLife
5828 papers in training set
Top 68%
0.6%
25
Drug Safety
10 papers in training set
Top 0.3%
0.6%