Evidence map›Paper›PMID 35784225›Full record

Trial reportFrontiers in public health2022

Comparing the Effectiveness of Different Approaches to Raise Awareness About Antimicrobial Resistance in Farmers and Veterinarians of India.

Garima Sharma, Florence Mutua, Ram Pratim Deka, Rajeshwari Shome, Samiran Bandyopadhyay, Bibek Ranjan Shome, Naresh Goyal Kumar, Delia Grace, Tushar Kumar Dey, Johanna Lindahl

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 51% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Antibiotic-resistant bacteria in bovine milk in India.Journal of advanced veterinary and animal research · 2023
    Article
  6. Review
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

10 authors at 6 institutions in 4 countries.

Garima SharmaDepartment of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.
Florence MutuaDepartment of Biosciences, International Livestock Research Institute, Nairobi, Kenya.
Ram Pratim DekaDepartment of Biosciences, International Livestock Research Institute, Nairobi, Kenya.
Rajeshwari ShomeBacteriology Lab 1, 2, National Institute of Veterinary Epidemiology and Disease Informatics, Bangalore, India.
Samiran BandyopadhyayEastern Regional Station, ICAR-Indian Veterinary Research Institute, Kolkata, India.
Bibek Ranjan ShomeBacteriology Lab 1, 2, National Institute of Veterinary Epidemiology and Disease Informatics, Bangalore, India.
Naresh Goyal KumarDairy Microbiology Division, National Dairy Research Institute, Karnal, India.
Delia GraceDepartment of Biosciences, International Livestock Research Institute, Nairobi, Kenya.
Tushar Kumar DeyDepartment of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.
Johanna LindahlDepartment of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.
International Livestock Research Institute · KENational Institute Of Veterinary Epidemiology And Disease Informatics · INUppsala University · SEIndian Veterinary Research Institute · INNational Dairy Research Institute · INNatural Resources Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Antimicrobial resistance (AMR) is a global public health threat. The indiscriminate use of antibiotics in the animal health sector contributes to increasing rates of AMR and studies involving dairy farmers in India have found knowledge levels regarding antibiotics and AMR to be very low. The purpose of this study was to assess different methods to raise awareness and knowledge about AMR and antibiotic use among dairy farmers, paravets (veterinary assistants), and veterinarians. Materials and Methods: The study was conducted in September-December of 2018 in some parts of Haryana, Assam, Karnataka, and West Bengal. It had two parts: an intervention meeting (September-October 2018) which consisted of focus group discussions (FGD) with farmers, key informant interviews (KII) with veterinary professionals along with distribution of information packages, and then a follow-up survey (November-December 2018). The villages were randomly allocated to either one of the four intervention approaches (1-FGD/KII and information package on AMR; 2-FGD/KI and information on animal health; 3- FGD/KII and information package on animal health plus information on AMR; or 4- only the FGD/KII). A follow-up survey was done to assess the effect of interventions. Results: In total, 274 dairy farmers and 51 veterinary professionals (21 veterinarians and 30 paravets) participated in the follow-up survey. Many of the farmers and veterinary professionals who participated in the follow-up survey had been part of the intervention meetings. The average knowledge score of farmers was 7.8. It was found that the knowledge score was higher amongst farmers who had participated in the intervention meetings ( Conclusion: Our research demonstrated that a higher percentage of farmers and veterinary professionals who attended the intervention meeting had improved knowledge. Dairy farmers should be regularly educated on antibiotic usage and how to avoid misusing them. Also, veterinary experts should be provided with tools and strategies to educate farmers on the use of antimicrobials.

Indexed as

VeterinariansAnimalsAnti-Bacterial AgentsDrug Resistance, BacterialFarmersFemaleHumansIndiaMaleAnti-Bacterial Agentsanimal healthantibiotic useantimicrobial resistancedairy farmersinterventionone healthveterinarians

Identifiers

PMID35784225
PMCPMC9244170
OpenAlexW4282978191

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.