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Antibiotics and Activity Spaces: Protocol of an Exploratory Study of Behaviour, Marginalisation, and Knowledge Diffusion

Haenssgen, Marco J, Charoenboon, Nutcha, Zanello, Giacomo, Mayxay, Mayfong, Reed-Tsochas, Felix, Oh Jones, Caroline, Kosaikanont, Romyen, Praphattong, Pollavat, Manohan, Pathompong, Lubell, Yoel, Newton, Paul N, Keomany, Sommay, Wertheim, Heiman FL, Lienert, Jeffrey and Xayavong, Thipphaphone (2018) Antibiotics and Activity Spaces: Protocol of an Exploratory Study of Behaviour, Marginalisation, and Knowledge Diffusion. BMJ Global Health, 3 (2).

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Background: Antimicrobial resistance (AMR) is a global health priority. Leading UK and global strategy papers to fight AMR recognise its social and behavioural dimensions, but current policy responses to improve the popular use of antimicrobials (e.g. antibiotics) are limited to education and awareness-raising campaigns. In response to conceptual, methodological, and empirical weaknesses of this approach, we study people’s antibiotic-related health behaviour through three research questions:
RQ1. What are the manifestations and determinants of problematic antibiotic use in patients’ healthcare-seeking pathways?
RQ2. Will people’s exposure to antibiotic awareness activities entail changed behaviours that diffuse or dissipate within a network of competing healthcare practices?
RQ3. Which proxy indicators facilitate the detection of problematic antibiotic behaviours across and within communities?
Methods: We apply an interdisciplinary analytical framework that draws on the public health, medical anthropology, sociology, and development economics literature. Our research involves social surveys of treatment-seeking behaviour among rural dwellers in northern Thailand (Chiang Rai) and southern Lao PDR (Salavan). We sample approximately 4,800 adults to produce district-level representative and social network data. Additional 60 cognitive interviews facilitate survey instrument development and data interpretation. Our survey data analysis techniques include event sequence analysis (RQ1), multilevel regression (RQ1-3), social network analysis (RQ2), and latent class analysis (RQ3).
Discussion: Social research in AMR is nascent, but our unprecedentedly detailed data on micro-level treatment-seeking behaviour can contribute an understanding of behaviour beyond awareness and free choice, highlighting for example decision-making constraints, problems of marginalisation and lacking access to healthcare, and competing ideas about desirable behaviour.

Item Type: Article
Additional Information: Full author list: Marco J Haenssgen, Nutcha Charoenboon, Giacomo Zanello, Mayfong Mayxay, Felix Reed-Tsochas, Caroline O H Jones, Romyen Kosaikanont, Pollavat Praphattong, Pathompong Manohan, Yoel Lubell, Paul N Newton, Sommay Keomany, Heiman F L Wertheim, Jeffrey Lienert, Thipphaphone Xayavong, Penporn Warapikuptanun, Yuzana Khine Zaw, Patchapoom U-Thong, Patipat Benjaroon, Narinnira Sangkham, Kanokporn Wibunjak, Poowadon Chai-In, Sirirat Chailert, Patthanan Thavethanutthanawin, Krittanon Promsutt, Amphayvone Thepkhamkong, Nicksan Sithongdeng, Maipheth Keovilayvanh, Nid Khamsoukthavong, Phaengnitta Phanthasomchit, Chanthasone Phanthavong, Somsanith Boualaiseng, Souksakhone Vongsavang, Rachel C Greer, Thomas Althaus, Supalert Nedsuwan,Daranee Intralawan, Tri Wangrangsimakul, Direk Limmathurotsakul, Proochista Ariana
Keywords: Complexity, Health care, Public health, Development studies, Antibiotic use
Subject(s): Complexity
Health care
Centre: CABDyN Complexity Centre
Date Deposited: 31 Oct 2018 16:40
Last Modified: 07 Nov 2018 16:17

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