Antibiotic knowledge, attitudes and practices: new insights from cross-sectional rural health behaviour surveys in low-income and middle-income South-East Asia

Marco J Haenssgen, Nutcha Charoenboon, Giacomo Zanello, Mayfong Mayxay, Felix Reed-Tsochas, Yoel Lubell, Heiman Wertheim, Jeffrey Lienert, Thipphaphone Xayavong, Yuzana Khine Zaw, Amphayvone Thepkhamkong, Nicksan Sithongdeng, Nid Khamsoukthavong, Chanthasone Phanthavong, Somsanith Boualaiseng, Souksakhone Vongsavang, Kanokporn Wibunjak, Poowadon Chai-In, Patthanan Thavethanutthanawin, Thomas Althaus, Rachel Claire Greer, Supalert Nedsuwan, Tri Wangrangsimakul, Direk Limmathurotsakul, Elizabeth Elliott, Proochista Ariana, Marco J Haenssgen, Nutcha Charoenboon, Giacomo Zanello, Mayfong Mayxay, Felix Reed-Tsochas, Yoel Lubell, Heiman Wertheim, Jeffrey Lienert, Thipphaphone Xayavong, Yuzana Khine Zaw, Amphayvone Thepkhamkong, Nicksan Sithongdeng, Nid Khamsoukthavong, Chanthasone Phanthavong, Somsanith Boualaiseng, Souksakhone Vongsavang, Kanokporn Wibunjak, Poowadon Chai-In, Patthanan Thavethanutthanawin, Thomas Althaus, Rachel Claire Greer, Supalert Nedsuwan, Tri Wangrangsimakul, Direk Limmathurotsakul, Elizabeth Elliott, Proochista Ariana

Abstract

Introduction: Low-income and middle-income countries (LMICs) are crucial in the global response to antimicrobial resistance (AMR), but diverse health systems, healthcare practices and cultural conceptions of medicine can complicate global education and awareness-raising campaigns. Social research can help understand LMIC contexts but remains under-represented in AMR research.

Objective: To (1) Describe antibiotic-related knowledge, attitudes and practices of the general population in two LMICs. (2) Assess the role of antibiotic-related knowledge and attitudes on antibiotic access from different types of healthcare providers.

Design: Observational study: cross-sectional rural health behaviour survey, representative of the population level.

Setting: General rural population in Chiang Rai (Thailand) and Salavan (Lao PDR), surveyed between November 2017 and May 2018.

Participants: 2141 adult members (≥18 years) of the general rural population, representing 712 000 villagers.

Outcome measures: Antibiotic-related knowledge, attitudes and practices across sites and healthcare access channels.

Findings: Villagers were aware of antibiotics (Chiang Rai: 95.7%; Salavan: 86.4%; p<0.001) and drug resistance (Chiang Rai: 74.8%; Salavan: 62.5%; p<0.001), but the usage of technical concepts for antibiotics was dwarfed by local expressions like 'anti-inflammatory medicine' in Chiang Rai (87.6%; 95% CI 84.9% to 90.0%) and 'ampi' in Salavan (75.6%; 95% CI 71.4% to 79.4%). Multivariate linear regression suggested that attitudes against over-the-counter antibiotics were linked to 0.12 additional antibiotic use episodes from public healthcare providers in Chiang Rai (95% CI 0.01 to 0.23) and 0.53 in Salavan (95% CI 0.16 to 0.90).

Conclusions: Locally specific conceptions and counterintuitive practices around antimicrobials can complicate AMR communication efforts and entail unforeseen consequences. Overcoming 'knowledge deficits' alone will therefore be insufficient for global AMR behaviour change. We call for an expansion of behavioural AMR strategies towards 'AMR-sensitive interventions' that address context-specific upstream drivers of antimicrobial use (eg, unemployment insurance) and complement education and awareness campaigns.

Trial registration number: Clinicaltrials.gov identifier NCT03241316.

Keywords: Lao pdr; Thailand; antibiotics; antimicrobial resistance; awareness; development studies; interdisciplinary research; social sciences; survey; treatment-seeking behaviour.

Conflict of interest statement

Competing interests: None declared.

© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ.

Figures

Figure 1
Figure 1
Survey sites and multistage sampling process (adapted from Wikimedia Commons [36]). Notes: Unavailable selections at each sampling stage were substituted with a random replacement for the random samples of PSUs and household members, and with the nearest available neighbour for the interval sample of households. One PSU could contain more than one administrative village; if the first-chosen village contained less than 600 houses, then adjacent villages would be included. PSU, primary sampling unit.
Figure 2
Figure 2
Common names and purposes for antibiotics. Source: Authors’ analysis of survey data. Notes: Only including respondents who indicated that they had seen the presented medicine (ie, common antibiotics) before. Chiang Rai: n=1076; Salavan: n=775. Population-weighted statistics, accounting for complex survey design. Multiple response permitted. Error bars indicate 95% CI.

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Source: PubMed

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