BMJ Open (Mar 2024)

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

  • Nazmul Alam,
  • Adnan Mannan,
  • Kallyan Chakma,
  • Gourab Dewan,
  • Ayan Saha,
  • Naim Uddin Hasan A Chy,
  • H M Hamidullah Mehedi,
  • Amzad Hossain,
  • Jannatun Wnaiza,
  • Md Tanveer Ahsan,
  • Md Mashud Rana

DOI
https://doi.org/10.1136/bmjopen-2022-071504
Journal volume & issue
Vol. 14, no. 3

Abstract

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Objectives 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.Design This study used a cross-sectional design with data collected through a survey using a semi-structured questionnaire.Setting 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.Participants A total of 1336 indigenous people residing in Bangladesh’s CHT districts were included.Primary outcome and explanatory variables 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.Results 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.Conclusion 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.