Wealth-related inequalities and correlates of malaria message exposure among pregnant women in four malaria high-burden countries in sub-Saharan Africa: evidence from recent malaria indicator surveys

dc.contributor.authorMwebesa, Edson
dc.contributor.authorMusinguzi, Benson
dc.contributor.authorAgbi, Delight Mawufemor
dc.contributor.authorBagenzi, Brenda
dc.contributor.authorMutale, Sampa
dc.contributor.authorIzudi, Jonatha
dc.contributor.authorKerich, Gregory
dc.contributor.authorMwangi, Ann
dc.date.accessioned2026-10-26T08:22:57Z
dc.date.issued2026-10-21
dc.description.abstractIntroduction Malaria remains a critical public health challenge in sub-Saharan Africa (SSA). Social and behav iour change communication (SBCC) is one of the cornerstones of effective malaria control strategies. Pregnant women are vulnerable to malaria compared to other sub-populations, and exposure to malaria messages is not evenly distributed in this sub-population, but the potential determinants are unclear. This study determined the prevalence of exposure to malaria messages among pregnant women in Uganda, Tanzania, Ghana, and Burkina Faso, including its wealth-related inequalities and the associated factors. Methods We utilised data from the Malaria Indicator Surveys in Burkina Faso, Ghana, Tanzania, and Uganda. Only women who were pregnant at the time of the survey were included in this study, resulting in a weighted sample of 2552 pregnant women. Equity plots and the concentration index were used to establish wealth-related inequalities. A multilevel mixed-effects logistic regression model was used to identify factors associated with exposure to malaria messages at the 5% significance level. Results Of 2,552 participants, 1,440 (56.4%) pregnant women reported exposure to malaria messages. By coun try, the highest rate was recorded in Ghana (88.4%), followed by Burkina Faso (63.9%), with Uganda and Tan zania showing similar levels of exposure to malaria messages (48.3% and 48.1%, respectively). Exposure to malaria messages was largely concentrated among rich women, with a significant unstandardized concentration index of 0.075 (p < 0.001). Women aged 35–49 years [Adjusted odds ratio (aOR) = 1.42; 95% confidence interval (CI): 1.16, 1.74] and women with secondary or higher level of education [aOR = 2.70; 95% CI: 1.17, 6.25] were associated with exposure to malaria messages. Conclusion Overall, less than three in five pregnant women are exposed to malaria messages in sub-Saharan Africa, with pregnant women aged 35–49 years, with secondary or higher levels of education, who are wealthier, and with a previous birth history mainly exposed to malaria messages. The study revealed considerable variation in factors at the community and country levels. Therefore, malaria communication strategies should be targeted for better reach and impact.
dc.identifier.citationMwebesa, E., Musinguzi, B., Agbi, D. M., Bagenzi, B., Sampa, M., Izudi, J., ... & Mwangi, A. (2026). Wealth-related inequalities and correlates of malaria message exposure among pregnant women in four malaria high-burden countries in sub-Saharan Africa: evidence from recent malaria indicator surveys. Archives of Public Health.
dc.identifier.urihttps://ir.must.ac.ug/handle/123456789/4647
dc.language.isoen_US
dc.publisherArchives of Public Health
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United Statesen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/
dc.subjectMalaria Message
dc.subjectConcentration Index
dc.subjectUganda
dc.subjectGhana
dc.subjectBurkina Faso
dc.subjectTanzania
dc.titleWealth-related inequalities and correlates of malaria message exposure among pregnant women in four malaria high-burden countries in sub-Saharan Africa: evidence from recent malaria indicator surveys
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Wealth-related inequalities and correlates of malaria message exposure among pregnant women in four malaria high-burden countries in sub-Saharan Africa evidence from recent malaria indicator surveys.pdf
Size:
1.72 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.64 KB
Format:
Item-specific license agreed upon to submission
Description: