| Literature DB >> 32948667 |
Marco J Haenssgen1,2, Nutcha Charoenboon3, Patthanan Thavethanutthanawin4, Kanokporn Wibunjak4.
Abstract
Global health champions modernism and biomedical knowledge but tends to neglect knowledge, beliefs and identities of rural communities in low-income and middle-income countries. The topic of antimicrobial resistance represents these common challenges, wherein the growing emphasis on public engagement offers a yet underdeveloped opportunity to generate perspectives and forms of knowledge that are not typically incorporated into research and policy. The medical humanities as an interdisciplinary approach to illness and health behaviour play a central role in cultivating this potential-in particular, through the field's emphasis on phenomenological and intersubjective approaches to knowledge generation and its interest in dialogue between medicine, the humanities and the broader public.We present a case study of public engagement that incorporates three medical humanities methods: participatory co-production, photographic storytelling and dialogue between researchers and the public. Situated in the context of northern Thailand, we explore subcases on co-production workshops with villagers, tales of treatment shared by traditional healers and dialogue surrounding artistic display in an international photo exhibition. Our starting assumption for the case study analysis was that co-produced local inputs can (and should) broaden the understanding of the sociocultural context of antimicrobial resistance.Our case study illustrates the potential of medical humanities methods in public engagement to foreground cultural knowledge, personal experience and 'lay' sensemaking surrounding health systems and healing (including medicine use). Among others, the engagement activities enabled us to formulate and test locally grounded hypotheses, gain new insights into the social configuration of treatment seeking and reflect on the relationship between traditional healing and modern medicine in the context of antimicrobial resistance. We conclude that medical-humanities-informed forms of public engagement should become a standard component of global health research, but they require extensive evaluation to assess benefits and risks comprehensively. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.Entities:
Keywords: exhibitions; health policy; medical humanities; science communication; social science
Mesh:
Substances:
Year: 2020 PMID: 32948667 PMCID: PMC8639946 DOI: 10.1136/medhum-2020-011894
Source DB: PubMed Journal: Med Humanit ISSN: 1468-215X
Figure 1Impressions of ‘Tales of Treatment’ exhibition elements. Source: Authors.
Data overview
| Subcase no. | Method | Involved groups | Sample |
| 1 | Co-production | Rural population in Chiang Rai | 20–35 workshop participants per village |
| 2422 survey respondents | |||
| 2 | Storytelling | Traditional healers in Chiang Rai | 15 photographic narratives |
| 3 | Dialogue | International exhibition attendees | 500+ across Chiang Rai, Bangkok, Oxford and Coventry |
Top 10 responses to describe pictures of common antibiotics used in Chiang Rai province, and the corresponding share of respondents that would refrain from buying the medicine over the counter (‘desirable’ attitude)
| Rank | Mae Fah Luang village (first survey round; n=155) | All three workshop villages (first survey round; n=497) | Rural Chiang Rai province (n=1098) | ||||||
| Name | Mentioned | ‘Desirable’ | Name | Mentioned | ‘Desirable’ | Name | Mentioned | ‘Desirable’ | |
| 1 | Anti-inflammatory | 70.3% | 48.6% | Anti-inflammatory | 72.4% | 53.6% | Anti-inflammatory | 86.4% | 55.0% |
| 2 | Other (unknown) names | 25.8% | 70.0% | Other (unknown) names | 26.8% | 53.4% | Do not know the name of this medicine | 10.3% | 73.5% |
| 3 | Do not know the name of this medicine | 14.8% | 65.2% | Do not know the name of this medicine | 12.7% | 65.1% | Germ killer | 10.3% | 55.0% |
| 4 | Germ killer | 7.1% | 72.7% | Germ killer | 5.0% | 72.0% | Antibiotics | 7.0% | 67.9% |
| 5 | Capsules/Medicine in general | 5.8% | 77.8% | Capsules/Medicine in general | 3.8% | 52.6% | Heromycin, TC-Mycin, etc. | 5.6% | 39.4% |
| 6 | Amoxi (amoxicillin) | 3.2% | 80.0% | Colem (chloramphenicol) | 3.0% | 26.7% | Colem (chloramphenicol) | 4.8% | 42.4% |
| 7 | Cough medicine | 1.9% | 33.3% | Pain reliever | 2.4% | 58.3% | Capsules/Medicine in general | 4.6% | 46.4% |
| 8 | Pain reliever | 1.9% | 66.7% | Antibiotics | 2.2% | 81.8% | Colour reference | 3.1% | 27.3% |
| 9 | Colem (chloramphenicol) | 1.9% | 33.3% | Amoxi (amoxicillin) | 1.2% | 83.3% | Pain reliever | 2.5% | 52.3% |
| 10 | Antibiotics | 1.3% | 100.0% | Cough medicine | 1.0% | 40.0% | Other non-antibiotic medicine | 1.7% | 24.8% |
See questionnaire in online supplementary material for pictures of common antibiotics. Only including respondents who recognised the medicine shown. Multiple mentions per respondent possible. Provincial-level results are population weighted using census data.
Source: Authors; derived from survey data.
Comparison of adults’ and children’s antibiotic sources and use during acute illnesses and accidents
| Mae Fah Luang and Chiang Rai villages | All three workshop villages | Rural Chiang Rai province | |||||||
| Adult | Child | P value | Adult | Child | P value | Adult | Child | P value | |
| All illness episodes | |||||||||
| Number | 229 | 68 | 697 | 168 | 696 | 156 | |||
| % received antibiotics | 12.2% | 13.2% | 0.825 | 14.3% | 16.7% | 0.447 | 19.2% | 24.5% | 0.321 |
| All antibiotic use episodes | |||||||||
| Number | 28 | 9 | 100 | 28 | 125 | 31 | |||
| % of antibiotic use episodes received from formal sources | 71.4% | 100.0% | 0.070 | 75.0% | 92.9% | 0.041 | 83.6% | 100.0% | 0.083 |
| % of antibiotic use episodes received from informal sources | 28.6% | 0.0% | 0.070 | 26.0% | 10.7% | 0.088 | 18.3% | 6.1% | 0.235 |
| % of illness episodes with at least one instance of unfinished antibiotics | 42.9% | 44.4% | 0.933 | 40.0% | 39.3% | 0.946 | 36.5% | 48.6% | 0.338 |
| % of episodes with at least one instance of strict adherence to antibiotic instructions | 64.3% | 77.8% | 0.452 | 67.0% | 67.9% | 0.932 | 72.2% | 70.8% | 0.908 |
Data on illness episode level. Multiple illness episodes per respondent possible. Provincial-level results are population weighted using census data. P values calculated using Pearson’s χ2 test. ‘Child’ refers to illness episodes of anyone below 18 years of age; adults would report the illness episodes of ‘children’ under their supervision.
Source, Authors; derived from survey data.
Figure 2Comparison of antibiotic sources and use during acute illnesses and accidents across five age groups. Source: Authors; derived from survey data. Data on illness episode level. Multiple illness episodes per respondent possible. Provincial-level results are population weighted using census data.
Figure 3Tales of Treatment. Source: Tales of Treatment exhibition booklet.