Evidence map›Paper›PMID 33040695›Full record

ArticleGlobal health action2019

Rural community perceptions of antibiotic access and understanding of antimicrobial resistance: qualitative evidence from the Health and Demographic Surveillance System site in Matlab, Bangladesh.

Moyukh Chowdhury, Jennifer Stewart Williams, Heiman Wertheim, Wasif Ali Khan, Abdul Matin, John Kinsman

Open access · goldAbstract read
In one paragraph

Article in Global health action, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 8 countries.

Moyukh ChowdhuryOutcomes Research Department, Reveal AB , Stockholm, Sweden.ORCID 0000-0003-4630-909X
Jennifer Stewart WilliamsDepartment of Epidemiology and Global Health, Umeå University , Umeå, Sweden.ORCID 0000-0001-6533-0762
Heiman WertheimClinical Research Unit, Oxford University , Hanoi, Vietnam.ORCID 0000-0002-5003-5565
Wasif Ali KhanInternational Centre for Diarrhoeal Disease Research, Enteric and Respiratory Infections Infectious Diseases Division, 68, Shaheed Tajuddin Ahmed Sharani , Dhaka, Bangladesh.ORCID 0000-0002-7650-8068
Abdul MatinInternational Centre for Diarrhoeal Disease Research, Enteric and Respiratory Infections Infectious Diseases Division, 68, Shaheed Tajuddin Ahmed Sharani , Dhaka, Bangladesh.ORCID 0000-0002-7737-8541
John KinsmanDepartment of Epidemiology and Global Health, Umeå University , Umeå, Sweden.ORCID 0000-0003-1332-4138
International Centre for Diarrhoeal Disease Research · BDAbeam Technologies (United States) · USKarolinska Institutet · SERadboud University Nijmegen · NLUniversity of Newcastle Australia · AU

Funding

Wellcome Trust 109595
6 · The paper itself

Abstract

backgroundThe use of large quantities of antimicrobial drugs for human health and agriculture is advancing the predominance of drug resistant pathogens in the environment. Antimicrobial resistance is now a major public health threat posing significant challenges for achieving the Sustainable Development Goals. In Bangladesh, where over one third of the population is below the poverty line, the achievement of safe and effective antibiotic medication use for human health is challenging.

objectiveTo explore factors and practices around access and use of antibiotics and understanding of antimicrobial resistance in rural communities in Bangladesh from a socio-cultural perspective.

methodsThis qualitative study comprises the second phase of the multi-country ABACUS (Antibiotic Access and Use) project in Matlab, Bangladesh. Information was collected through six focus group discussions and 16 in-depth interviews. Informants were selected from ten villages in four geographic locations using the Health and Demographic Surveillance System database. The Access to Healthcare Framework guided the interpretation and framing of the findings in terms of individuals' abilities to: perceive, seek, reach, pay and engage with healthcare.

resultsVillage pharmacies were the preferred and trusted source of antibiotics for self-treatment. Cultural and religious beliefs informed the use of herbal and other complementary medicines. Advice on antibiotic use was also sourced from trusted friends and family members. Access to government-run facilities required travel on poorly maintained roads. Reports of structural corruption, stock-outs and patient safety risks eroded trust in the public sector. Some expressed a willingness to learn about antibiotic resistance.

conclusionAntimicrobial resistance is both a health and development issue. Social and economic contexts shape medicine seeking, use and behaviours. Multi-sectoral action is needed to confront the underlying social, economic, cultural and political drivers that impact on the access and use of antibiotic medicines in Bangladesh.

Indexed as

Drug Resistance, BacterialHealth Services AccessibilityAdolescentAdultAnti-Bacterial AgentsBangladeshCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedPopulation SurveillancePovertyPublic SectorQualitative ResearchAnti-Bacterial AgentsABACUSAntimicrobialcompliancedrugqualitative

Identifiers

PMID33040695
PMCPMC7580843
OpenAlexW3092273463

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.