Prevalence and determinants of antibiotics self-medication among indigenous people of Bangladesh: a cross-sectional study.

EPIDEMIOLOGIC STUDIES EPIDEMIOLOGY PUBLIC HEALTH

Journal

BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874

Informations de publication

Date de publication:
05 Mar 2024
Historique:
medline: 7 3 2024
pubmed: 7 3 2024
entrez: 6 3 2024
Statut: epublish

Résumé

Self-medication with antibiotics (SMA) contributes significantly to the emergence of antimicrobial resistance (AMR), especially in low-income countries including Bangladesh. This study aimed to generate evidence on the self-reported prevalence of antibiotic self-medication and its determinants among indigenous people residing in Bangladesh's Chittagong Hill Tracts (CHT) districts. This study used a cross-sectional design with data collected through a survey using a semi-structured questionnaire. This study was conducted from late January to early July 2021; among different indigenous group populations aged 18 years or more olders residing in the three districts of CHT. A total of 1336 indigenous people residing in Bangladesh's CHT districts were included. The primary outcome measure was SMA while explanatory variables were socio-demographic characteristics, health status of participants, and knowledge of antibiotics usage and its side effects. Among the study participants, more males (60.54%) than females (51.57%) reported using antibiotics. The SMA rate was high among individuals with education levels below secondary (over 50%) and those in the low-income group (55.19%). The most common diseases reported were cough, cold and fever, with azithromycin being the most frequently used antibiotic. Levels of education, family income, having a chronic illness and place of residence were found to be the significant predictors of having good knowledge of antibiotic use as found in the ordered logit model. Findings from a logistic regression model revealed that men had 1.6 times higher odds (adjusted OR (AOR) 1.57; 95% CI 1.12 to 2.19) of SMA than women. Participants with ≥US$893 per month family income had lowest odds (AOR 0.14; 95% CI 0.03 to 0.64) of SMA than those who earned <US$417. Participants living in Rangamati districts had a lower risk of SMA (…) than those in Bandarban district. rate of SMA (AOR 0.52; 95% CI 0.30 to 0.90) than those in Bandarban district. Male gender, family income, place of residence and knowledge of antibiotics were the significant predictors of antibiotic self-medication. Hence, it is important to streamline awareness-raising campaigns at the community level to mitigate the practice of SMA in indigenous people and ultimately address the devastating effects of Antimicrobial resistance (AMR) in Bangladesh.

Identifiants

pubmed: 38448060
pii: bmjopen-2022-071504
doi: 10.1136/bmjopen-2022-071504
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e071504

Informations de copyright

© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Adnan Mannan (A)

Department of Genetic Engineering & Biotechnology, University of Chittagong, Chattogram, Bangladesh ayan.saha.bd@gmail.com adnan.mannan@cu.ac.bd.
Disease Biology and Molecular Epidemiology Research Group (dBme), Chattogram, Bangladesh.

Kallyan Chakma (K)

Department of Genetic Engineering & Biotechnology, University of Chittagong, Chattogram, Bangladesh.
Disease Biology and Molecular Epidemiology Research Group (dBme), Chattogram, Bangladesh.

Gourab Dewan (G)

Department of Medicine, Rangamati Medical College, Rangamati, Bangladesh.

Ayan Saha (A)

Department of Bioinformatics & Biotechnology, Asian University for Women, Chattogram, Bangladesh ayan.saha.bd@gmail.com adnan.mannan@cu.ac.bd.

Naim Uddin Hasan A Chy (NUHA)

Department of Economics, University of Chittagong, Chattogram, Bangladesh.

H M Hamidullah Mehedi (HMH)

Department of Medicine, 250 Bedded General Hospital, Chattogram, Bangladesh.

Amzad Hossain (A)

Department of Genetic Engineering & Biotechnology, Jagannath University, Dhaka, Bangladesh.

Jannatun Wnaiza (J)

Department of Biochemistry & Biotechnology, University of Science and Technology Chittagong, Chattogram, Bangladesh.

Md Tanveer Ahsan (MT)

Department of Pharmacy, University of Chittagong, Chattogram, Bangladesh.

Md Mashud Rana (MM)

Disease Biology and Molecular Epidemiology Research Group (dBme), Chattogram, Bangladesh.
Department of Pharmacology and Therapeutics, Chittagong Medical College, Chattogram, Bangladesh.

Nazmul Alam (N)

Department of Public Health, Asian University for Women, Chattogram, Bangladesh.

Classifications MeSH