Evidence map›Paper›PMID 32953895›Full record

ArticleJournal of education and health promotion2020

Health communication in low-income countries: A 60-year bibliometric and thematic analysis.

Nour Mheidly, Jawad Fares

Abstract read
In one paragraph

Article in Journal of education and health promotion, 2020. 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
–field-weighted citation impact
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.

  1. Article
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  4. Review
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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

2 authors.

Nour MheidlyFaculty of Information, Lebanese University, Beirut, Lebanon.
Jawad FaresDepartment of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth communication is a field that uses social and behavioral models to improve health outcomes and raise awareness on major health risks that threaten human well-being. Low-income countries (LICs) suffer from the effects of communicable and noncommunicable diseases that are exacerbated by weak health-care systems, lack of awareness campaigns, and ineffective communication tactics. This work aims to explore health communication research in LICs to find strategies that help improve health outcomes in the future. MATERIALS AND

methodsThe PubMed database was explored systematically for publications related to health communication from LICs between January 1, 1960, and January 1, 2020. Publications were categorized according to country of origin and were analyzed with respect to population size, gross domestic product (GDP), and primary school enrollment of each state as obtained from the World Bank Open Data.

resultsCollectively, LICs published 796 contributions, comprising 1.08% of the total biomedical research published by LICs and 0.27% of the world's health communication research. Malawi had the highest number of publications per GDP, with 32.811 publications per billion US$. Uganda had the most contributions per population, with 9.579 publications per million persons. Ethiopia had the highest amount of contributions per primary school enrollment with a ratio of 2.461 publications per %gross. The role of health communication in promoting HIV awareness and prevention was the most common theme explored. Other infectious diseases, such as malaria, tuberculosis, and Ebola, were also highlighted. Improving communication in health education was also explored.

conclusionHealth communication is a rising field in LICs, with research focusing on disease prevention. Efforts to amplify research are key to effectively utilize the health communication models and improve health outcomes in LICs.

Indexed as

Health communicationhealth educationlow-income countriespreventionpublic health

Identifiers

PMID32953895
PMCPMC7482704

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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Registered trials

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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.