Evidence map›Paper›PMID 37566570›Full record

ArticleEvaluation review2024

Effects of Behaviour Change Communication on Knowledge and Prevention of Malaria Among Women in Ghana.

Emmanuel Orkoh, Uchenna Efobi

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In one paragraph

Article in Evaluation review, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Emmanuel OrkohSchool of Economic Sciences, North-West University (NWU), Potchefstroom, South Africa.ORCID 0000-0002-0951-8936
Uchenna EfobiInitiative for Policy, Evaluation and Research, Abuja, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Behaviour change communication (BCC) remains a central component of the interventions used in the fight against malaria in Ghana. However, there is limited evidence of its effectiveness. This study evaluated the effects of BCC strategies on knowledge (symptoms, causes and prevention) and overall knowledge of malaria among Ghanaian women aged 15-49 years. The propensity score matching (PSM) approach and logistic regression were used to analyse data from the 2016 edition of the Malaria Indicator Survey (MIS). Women who participated in community-level education or heard/saw media messages on malaria, or both, had significantly more knowledge of the disease than women who lacked access to any of these mediums of communication. The effect of these strategies on women's overall knowledge of malaria is about 2% to 4% and is higher on their knowledge of the symptoms (3% to 6%) and prevention (2% to 4%) than the causes (2%). The combined effects of both mediums of communication are relatively higher than the effect of either of them as a single medium of communication. Further analysis showed that improved knowledge of the disease is associated with higher preventive measures taken by women for themselves and for their children. The results are more significant in rural and poor households than in urban and non-poor households. These findings underscore the need for the Ministry of Health and its partner institutions to adopt an innovative approach which combines the two strategies in intensively educating Ghanaians, and women in particular, on the symptoms and prevention of malaria, giving due cognisance to households' socioeconomic status and geographical location.

Indexed as

Health Knowledge, Attitudes, PracticeMalariaAdolescentAdultCommunicationFemaleGhanaHealth EducationHumansMiddle AgedYoung Adultbehaviour change communicationGhanaI10I12I18malariamultidimensional indexpropensity score matching

Identifiers

PMID37566570
PMCPMC11447998

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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.