Narratives of veterinary drug use in northern Tanzania and consequences for drug stewardship strategies in low-income and middle-income countries

INTRODUCTION: Awareness-raising campaigns play a central role in efforts to combat drug resistance. These campaigns assume that knowledge deficits drive poor practices that increase resistance. Therefore, increasing awareness will promote prudent practices and reduce resistance. However, most awareness campaigns have been developed and evaluated in high-income and public health settings. Consequently, it is not clear whether these campaigns are effective in low-income and middle-income countries and/or within animal health settings. METHODS: Focus group discussions and in-depth interviews were used to collect narratives of veterinary drug use among Maasai pastoralists (n=70), animal health professionals (n=10) and veterinary drug sellers (n=5). Thematic analysis was used to identify recurring themes across narratives and groups. RESULTS: Narratives of Maasai and animal health professionals indicated that Maasai treated their livestock with limited input from the professional sector and that non-prudent treatment practices were observed (eg, using antimicrobials as ‘energizers’). Professionals linked these practices to knowledge and attitudinal deficits among the Maasai, while Maasai narratives highlighted the importance of climatic uncertainties and cultural beliefs surrounding veterinary care. CONCLUSION: Narratives of veterinary drug use from animal health professionals are consistent with the knowledge deficit assumption guiding awareness-raising efforts. In contrast, Maasai narratives highlight how animal health practices are patterned by cultural norms interacting with factors largely outside of Maasai control, including a constrained professional veterinary sector. If these cultural and structural contexts remain unconsidered in awareness-raising strategies, current campaigns are unlikely to motivate practices necessary to limit drug resistance, especially within low-income and middle-income settings.