Evidence map›Paper›PMID 33392372›Full record

ReviewOne health (Amsterdam, Netherlands)2020

Opportunities and challenges in antimicrobial resistance behavior change communication.

Joseph O Othieno, Obadiah Njagi, Allan Azegele

Open access · goldAbstract readReview
In one paragraph

Review in One health (Amsterdam, Netherlands), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.4field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 35 citations in OpenAlex.

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  16. Frontiers in immunology · 2021
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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

3 authors at 1 institution in 1 country.

Joseph O OthienoDirector of Veterinary Services, P.O Box Private Bag Kangemi, 00625 Nairobi, Kenya.
Obadiah NjagiDirector of Veterinary Services, P.O Box Private Bag Kangemi, 00625 Nairobi, Kenya.
Allan AzegeleDirector of Veterinary Services, P.O Box Private Bag Kangemi, 00625 Nairobi, Kenya.
Kenya Wildlife Service · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial Resistance (AMR) is already affecting human and animal health sectors negatively. The UN General Assembly has listed AMR among issues that need urgent address; subsequently FAO/OIE/WHO tripartite took lead and jointly developed Global Action Plan (GAP) to tackle the problem. States and Governments have developed AMR National Action Plans (NAP), Policies and Communication Strategies. In health communication realms AMR is a distinctive and novel phenomenon. Consequently, communication theories and principles on this issue have not been tested adequately; even as literature around AMR is growing. While there are lessons that can be learned from previous and ongoing health communication campaigns targeting various audiences and coined around behavior change strategies; AMR is certainly a unique and maiden case. Kenya developed and is implementing its AMR - NAP. Kenya is among few countries that have developed and implemented an AMR Communication Strategy with the goal to create awareness and subsequently change audience behavior. This paper presents a review of available literature, reports, Kenya experiences and theories that can be applied to AMR communications. It illustrates the gaps, opportunities and challenges and proposes strategies that can be applied at the moment as more literature on AMR communication is collected through research and documentation of country experiences.

Indexed as

AMRAntimicrobial resistanceBehavior change communicationCommunication strategy

Identifiers

PMID33392372
PMCPMC7772650
OpenAlexW3089519532

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.