Decreasing Irrational Antimicrobial Use in Bangladesh: A Digital Intervention Program
NCT ID: NCT06313619
Last Updated: 2025-09-08
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
27 participants
INTERVENTIONAL
2023-10-23
2024-10-31
Brief Summary
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A before-after designed pilot quasi experimental study will be conducted in urban areas. Data will be collected in both qualitative and quantitative methods. Multi-cluster sampling method will be used to select study locations. Pharmacists or drug sellers and patients aged more than 18 years and located within selected intervention areas will be our target population. A baseline survey will be conducted among the pharmacy volunteers to evaluate their knowledge, perception, and practice of rational use of anti-microbials prior to any intervention. Additionally, a household survey will be conducted among community members applying systematic random sampling where one adult from every selected household will be approached maintaining gender equality. After collecting the baseline data, intervention will be given to the community people through awareness building campaign and distributing leaflets and posters on rational use of anti-microbials. After three months, a follow-up survey will be conducted with the same questionnaire. For quantitative portion of the study, all the medicine shops in the selected study areas will be included in the study sample. For qualitative part, the sample will be selected purposively until data saturation and a total of 8 experts will be interviewed. Two sets of questionnaires for pharmacy volunteers and the community dwellers will be prepared based on literature review that will include health literacy questions regarding anti-microbial use. The questionnaire for the follow-up data collection will include some additional questions regarding effectiveness, acceptability, adoption, feasibility, and cost of the intervention.
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Detailed Description
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This is a pioneering study in Bangladesh that introduces a comprehensive digital pharmacy management system, demonstrating its feasibility and acceptability while highlighting potential challenges. The intervention showed promise in improving record-keeping, raising awareness, and promoting rational antibiotic use. The cloud-based server of this system allows its integration with existing government data systems, providing it the privilege to scale up to a nationwide level and achieve sustainability. With adequate support and strategies to mitigate profit-driven noncompliance, such pharmacy-based interventions can play a vital role in national efforts to combat AMR.
The study is expected to bring light upon a comprehensive understanding of the current level of knowledge, perception and practice of irrational use of anti-microbials among target population. Furthermore, a digital intervention design will be produced and piloted to reduce irrational use of anti-microbials after considering its effectiveness. The wide range of the study findings will aid in assessing the acceptability, adoption, feasibility and cost of the intervention to make recommendations on sustainability and scaling up of the intervention programs.
Conditions
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Study Design
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NA
SINGLE_GROUP
PREVENTION
NONE
Study Groups
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Digital Pharmacy Intervention
A total of 39 pharmacy will be included in the intervention. The digital intervention named "SmartAMR" will be introduced among them. The participants will install the mobile app and use it to keep record of the antimicrobial sales in a central database.
SmartAMR
"SmartAMR" is a digital system including a mobile app that helps keeping record of medicine sales, sending auto-generated messages to the consumers to remind them about medicine taking time and completing doses. It also poses a symptom checker driven by artificial intelligence and a telemedicine service.
Interventions
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SmartAMR
"SmartAMR" is a digital system including a mobile app that helps keeping record of medicine sales, sending auto-generated messages to the consumers to remind them about medicine taking time and completing doses. It also poses a symptom checker driven by artificial intelligence and a telemedicine service.
Eligibility Criteria
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Inclusion Criteria
* Registered drug seller/pharmacist
* Permanent residents of the study areas
* Willing to participate
Exclusion Criteria
18 Years
ALL
Yes
Sponsors
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Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh
OTHER
Responsible Party
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Md Atiqul Haque
Professor
Principal Investigators
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M Atiqul Haque, PhD
Role: STUDY_DIRECTOR
Bangladesh Medical University
Locations
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Bangladesh Medical University
Dhaka, , Bangladesh
Countries
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Other Identifiers
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BSMMU/20236831
Identifier Type: -
Identifier Source: org_study_id
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