Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Background: Inadequate access to services for breastfeeding counseling results in poor breastfeeding practices and adverse health consequences. Although poor access to breastfeeding counseling services is a major challenge, its magnitude and determinantes are not well studied in developing countries. Therefore, this study assessed the magnitude and determinants of poor access to breastfeeding counseling services among lactating mothers who had optimal antenatal care follow-up in Sub-Saharan Africa.
Methods: Data from the recent Demographic and Health Surveys, involving a total of 289,929 women, were used for analysis. The determinants of poor access to breastfeeding counseling services were examined using a multilevel mixed-effects logistic regression model. Significant factors associated with poor access to breastfeeding counseling services were declared significant at p-values < 0.05. The adjusted odds ratio and confidence interval were used to interpret the results. A model with the lowest deviance and highest log likelihood ratio was selected as the best-fit model.
Results: In Sub-Saharan Africa, nearly one in two women with optimal antenatal care follow-up had poor access to breastfeeding counseling services. Maternal age (AOR = 1.18, 95% CI: 1.02, 1.38), maternal education (AOR = 1.128, 95% CI: 1.22, 1.35), distance to health facility (AOR = 1.17, 95% CI: 1.13, 1.21), media exposure (AOR = 1.12, 95% CI: 1.08, 1.17), wealth index (AOR = 1.05, 95% CI: 1.00, 1.10), place of delivery (AOR = 4.31, 95% CI: 4.11, 4.52), PNC (AOR = 3.92, 95% CI: 3.78, 4.07), mode of delivery (AOR = 1.88, 95% CI: 1.76, 2.02), birth interval (AOR = 1.12, 95% CI: 1.07, 1.17), residence (AOR = 1.14, 95% CI: 1.09, 1.18), community poverty (AOR = 1.09, 95% CI: 1.03, 1.15), community institutional delivery (AOR = 1.06, 95% CI: 1.01, 1.12), country category (AOR = 2.23, 95% CI: 2.10, 2.37), had higher odds of poor access to breastfeeding counseling services.
Conclusions: Poor access to breastfeeding counseling services among lactating mothers was found to be high. Both individual and community-level factors were determinants of poor access to breastfeeding counseling services. The Ministry of Health in Sub-Saharan Africa should give attention to those women who have not had a postnatal check-up and give birth at home while designing policies and strategies.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11654174 | PMC |
http://dx.doi.org/10.1186/s12913-024-12064-y | DOI Listing |
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