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Antibiotics and activity spaces: rural health behaviour survey in Northern Thailand and Southern Laos 2017-2018
Creator
Haenssgen, M, University of Warwick
Proochista , A, University of Oxford
Wertheim, H, University of Oxford
Greer, R, University of Oxford
Jones, C, University of Oxford
Lubell, Y, University of Oxford
Reed-Tsochas, F, University of Oxford
Zanello, G, University of Reading
Newton, P, University of Oxford
Mayxay, M, Mahidol Oxford Research Unit
Study number / PID
853658 (UKDA)
10.5255/UKDA-SN-853658 (DOI)
Data access
Restricted
Series
Not available
Abstract
These three data sets comprise each a provincial-level representative rural survey of adults in Chiang Rai and Salavan, and a two-round census survey with a three-month interval in five villages across the
two sites (3 in Chiang Rai, 2 in Salavan). The surveys were implemented by 10-member survey teams in each country between November 2017 and April 2018. Antimicrobial resistance (AMR) is a global health threat that endangers the achievement of the Sustainable Development Goals, especially Goal 3 on 'Good Health and Well-Being'; Leading UK and global strategy papers aiming at improving people's antibiotic usage to fight and prevent AMR thereby focus exclusively on awareness-raising campaigns, but this narrow approach suffers from conceptual, methodological, and empirical weaknesses. In response, our study intends to improve the understanding of patients' antibiotic-related health behaviour to inspire more targeted and unconventional interventions in low- and middle-income countries (LMICs). Speaking to the themes of "awareness and engagement" and "informal markets and access to antibiotics" we will investigate three research questions: (1) What are the manifestations and determinants of problematic antibiotic use in patients' healthcare-seeking pathways? (2) Will people's exposure to a behavioural health systems intervention diffuse or dissipate within a network of competing healthcare practices? (3) Which proxy indicators facilitate the detection of problematic antibiotic behaviours across and within communities?
Our interdisciplinary approach frames behaviour within a shared activity space. By drawing on theories and tools from public health, medical anthropology, sociology, and development economics, and by focusing on vulnerable rural dwellers in the DAC countries Thailand and Laos, we will be able to generate innovative and unprecedentedly detailed open-access survey data on antibiotic-related behaviour and its social, economic, and spatial determinants. We...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
01/11/2017 - 30/04/2018
Country
Laos, Thailand
Time dimension
Not available
Analysis unit
Individual
Family
Household
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Text
Data collection mode
1) Provincial-level representative survey: Three-stage stratified cluster random sampling design. The first stage involved the random selection of 30 primary sampling units (clusters) across five purposively selected districts in each site, stratified by their distance to the nearest urban centre (using data from the US National Geospatial Intelligence Agency). The second stage enumerated all residential buildings within the selected villages using satellite imagery from Google Maps and Bing Maps, of which we sampled 5% of the buildings (but at least 30 houses) in a stratified interval sampling approach to ensure spatial representativeness. During the survey implementation, the third sampling stage involved selecting randomly one respondent for every five adults in each chosen house.2) Two-round village census: community-level social network census surveys in five purposively selected villages across the two field sites (3 in Chiang Rai, 2 in Salavan). The villages were selected in consultation with local stakeholders; guiding criteria for selection were (1) village size and structure, (2) remoteness and road accessibility, (3) economic status as approximated by village-level infrastructure and facilities, (4) ethnic composition and (5) number and location of health facilities within a 2 km radius. The villages had between 300 and 1,500 residents. Within the selected communities, all households were approached, their adult members enumerated and invited to participate.
Funding information
Grant number
ES/P00511X/1
Access
Publisher
UK Data Service
Publication year
2019
Terms of data access
The Data Collection is available for download to users registered with the UK Data Service.