Determinants of the type of health care sought for symptoms of Acute respiratory infection in children: analysis of Ghana demographic and health surveys

Danquah, Leslie; Amegbor, Prince M.; Ayele, Dawit Getnet

doi:10.1186/s12887-021-02990-9

Cited by 4 publications

(5 citation statements)

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“…Consistent with studies reported in Ghana [ 50 ], Bangladesh [ 19 ], and Nepal [ 51 ], maternal education was found significant predictor of health-seeking behavior for symptoms of ARIs among under-five children. This could be due to educated mothers having good access to information on common childhood infections like acute respiratory infections and their symptoms [ 52 , 53 ].…”

Section: Discussionsupporting

confidence: 89%

“…Mothers who had big problems with health facilities had a decreased chance of seeking healthcare for symptoms of ARI among children under five compared to mothers where the distance to health facilities was not a big problem. It is in line with previous studies [ 50 , 61 ], this might be because mothers who with a big problem reaching a health facility need to use transportation facilities or travel a long distance to reach the facility, which in turn contributes not to seeking health care for their child [ 62 ]. In addition, mothers who are near the health facility are more likely to visit health care facilities as they are free from transportation costs to reach the health facility [ 13 , 63 , 64 ].…”

Section: Discussionsupporting

confidence: 86%

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Factors associated with mother's healthcare-seeking behavior for symptoms of acute respiratory infection in under-five children in sub-Saharan Africa: a multilevel robust Poisson regression modelling

Tesema,

Seifu

2023

BMC Health Serv Res

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Background Timely and appropriate treatment for childhood illness saves the lives of millions of children. In low-middle-income countries such as sub-Saharan Africa (SSA), poor healthcare-seeking behavior for childhood illnesses is identified as a major contributor to the increased risk of child morbidity and mortality. However, studies are limited on Factors associated with mother's healthcare-seeking behavior for symptoms of acute respiratory infection in under-five children in sub-Saharan Africa. Objective To examine factors associated with a mother's healthcare-seeking behavior for symptoms of acute respiratory infection in under-five children in sub-Saharan Africa. Methods A secondary data analysis was conducted based on the latest Demographic and Health Survey (DHS) data of 36 sub-Saharan African countries. A total weighted sample of 16,925 mothers who had under-five children with acute respiratory infection symptoms was considered. The Intraclass Correlation Coefficient (ICC), Median Odds Ratio (MOR), and Likelihood Ratio (LR) tests were done to assess the presence of clustering. Model comparison was made based on deviance (-2LLR) value. Variables with a p-value < 0.2 in the bivariable multilevel robust Poisson analysis were considered for the multivariable analysis. In the multivariable multilevel robust Poisson regression analysis, the Adjusted Prevalence Ratio (APR) with the 95% Confidence Interval (CI) was reported to declare the statistical significance and strength of the association. Results The prevalence of mother's healthcare-seeking behavior for symptoms of acute respiratory infection in under-five children in SSA was 64.9% (95% CI: 64.2%, 65.7%). In the multivariable analysis; mothers who attained primary education (APR = 1.11, 95% CI: 1.08, 1.15), secondary education (APR = 1.13, 95% CI: 1.09, 1.18), and higher education (APR = 1.19, 95% CI: 1.11, 1.27), belonged to the richest household (APR = 1.07: 95% CI: 1.02, 1.12), had media exposure (APR = 1.11, 95% CI: 1.08, 1.15), currently working (APR = 1.08, 95% CI: 1.06, 1.11), had ANC use (APR = 1.25: 95% CI: 1.17, 1.35), health facility delivery (APR = 1.10, 95% CI: 1.07, 1.14), belonged to West Africa (APR = 1.04, 95% CI: 1.01, 1.08) and being in the community with high media exposure (APR = 1.04, 95% CI: 1.02, 1,07) were significantly associated with higher prevalence of mother's healthcare-seeking behavior for symptoms of acute respiratory infection in under-five children. On the other hand, distance to a health facility (APR = 0.87, 95% CI: 0.84, 0.91), and being in central Africa (APR = 0.87, 95% CI: 0.84, 0.91) were significantly associated with a lower prevalence of mother's healthcare-seeking behavior for symptoms of acute respiratory infection in under-five children. Conclusion Mother's healthcare-seeking behavior for symptoms of acute respiratory infection in under-five children. It was influenced by maternal education, maternal working status, media exposure, household wealth status, distance to the health facility, and maternal health care service use. Any interventions aiming at improving maternal education, maternal healthcare services, and media access are critical in improving mothers' healthcare-seeking behavior for symptoms of acute respiratory infection in under-five children, hence lowering the prevalence of ARI-related death and morbidity.

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Section: Discussionsupporting

confidence: 89%

Section: Discussionsupporting

confidence: 86%

Factors associated with mother's healthcare-seeking behavior for symptoms of acute respiratory infection in under-five children in sub-Saharan Africa: a multilevel robust Poisson regression modelling

Tesema,

Seifu

2023

BMC Health Serv Res

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“…The risk of ARI occurrence was statistically higher in mothers with no education or low education than in mothers with higher education. Mothers with higher education are associated with better behavior in seeking treatment when their children are sick [26,27]. Well-educated mother is related to the level of knowledge possessed by mothers, which includes transmission models, symptoms, and danger signs of ARI in the community [28].…”

Section: Discussionmentioning

confidence: 99%

Maternal Characteristics as Predictors of the Incidence of Acute Upper Respiratory Infection in Children Under Five Years Old in Indonesia

Yunitawati¹,

Khairunnisa²,

Latifah³

2023

Proceedings of the 1st International Conference for Health Research – BRIN (ICHR 2022)

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The morbidity rate of acute upper respiratory infection (ARI) in children under five is still relatively high in Indonesia. Many factors are thought to influence this incident. The present study analyzed the characteristics of mothers as predictors of the incidence of acute upper respiratory infection in children under 5 years old in Indonesia. Data from Indonesia Basic Health Research 2018 using a multistage systematic random sampling method. A total of 72,954 children aged 0-59 months and their mothers were examined. The incidence of acute upper respiratory infection is based on the results of the diagnosis from health workers and the symptoms experienced by the child during the last 1 month before the survey was conducted. Maternal characteristics include age, education, common mental disorders experienced, and depression. Area of residence and socioeconomic status were also analyzed. Analysis used logistic regression. Maternal mental health is a predictor of acute upper respiratory infection in children under five. Children of mothers with common mental disorders have a risk of 1.78 times higher than children of mothers without common mental disorders (95% CI: 1.543-2.059). Meanwhile, children with mothers with depression had a 1.78 higher risk than children with mothers without depression before being adjusted with other variables (95% CI: 1.544-2.051). Children under five with mothers who did not go to school or did not finish elementary school had a 1.53 times higher risk of experiencing acute upper respiratory infection than children with mothers with a diploma and above (95% CI: 1.163-2.013). Maternal education, maternal common mental disorder, and child age are predictors of the incidence of acute upper respiratory infection in children under 5 years old in Indonesia.

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“…Similarly, in terms of the Wealth Index, families with higher wealth status were linked to a greater propensity to seek medical attention from a facility than those with lower wealth status ( 47 , 48 ). This study also revealed one important factor in the decision to seek care in a medical facility was income, and women with money would bring their children to the hospital when they displayed signs of ARI.…”

Section: Discussionmentioning

confidence: 99%

Machine learning algorithms to predict healthcare-seeking behaviors of mothers for acute respiratory infections and their determinants among children under five in sub-Saharan Africa

Yehuala,

Agimas,

Derseh

et al. 2024

Front. Public Health

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BackgroundAcute respiratory infections (ARIs) are the leading cause of death in children under the age of 5 globally. Maternal healthcare-seeking behavior may help minimize mortality associated with ARIs since they make decisions about the kind and frequency of healthcare services for their children. Therefore, this study aimed to predict the absence of maternal healthcare-seeking behavior and identify its associated factors among children under the age 5 in sub-Saharan Africa (SSA) using machine learning models.MethodsThe sub-Saharan African countries’ demographic health survey was the source of the dataset. We used a weighted sample of 16,832 under-five children in this study. The data were processed using Python (version 3.9), and machine learning models such as extreme gradient boosting (XGB), random forest, decision tree, logistic regression, and Naïve Bayes were applied. In this study, we used evaluation metrics, including the AUC ROC curve, accuracy, precision, recall, and F-measure, to assess the performance of the predictive models.ResultIn this study, a weighted sample of 16,832 under-five children was used in the final analysis. Among the proposed machine learning models, the random forest (RF) was the best-predicted model with an accuracy of 88.89%, a precision of 89.5%, an F-measure of 83%, an AUC ROC curve of 95.8%, and a recall of 77.6% in predicting the absence of mothers’ healthcare-seeking behavior for ARIs. The accuracy for Naïve Bayes was the lowest (66.41%) when compared to other proposed models. No media exposure, living in rural areas, not breastfeeding, poor wealth status, home delivery, no ANC visit, no maternal education, mothers’ age group of 35–49 years, and distance to health facilities were significant predictors for the absence of mothers’ healthcare-seeking behaviors for ARIs. On the other hand, undernourished children with stunting, underweight, and wasting status, diarrhea, birth size, married women, being a male or female sex child, and having a maternal occupation were significantly associated with good maternal healthcare-seeking behaviors for ARIs among under-five children.ConclusionThe RF model provides greater predictive power for estimating mothers’ healthcare-seeking behaviors based on ARI risk factors. Machine learning could help achieve early prediction and intervention in children with high-risk ARIs. This leads to a recommendation for policy direction to reduce child mortality due to ARIs in sub-Saharan countries.

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Determinants of the type of health care sought for symptoms of Acute respiratory infection in children: analysis of Ghana demographic and health surveys

Cited by 4 publications

References 35 publications

Factors associated with mother's healthcare-seeking behavior for symptoms of acute respiratory infection in under-five children in sub-Saharan Africa: a multilevel robust Poisson regression modelling

Factors associated with mother's healthcare-seeking behavior for symptoms of acute respiratory infection in under-five children in sub-Saharan Africa: a multilevel robust Poisson regression modelling

Maternal Characteristics as Predictors of the Incidence of Acute Upper Respiratory Infection in Children Under Five Years Old in Indonesia

Machine learning algorithms to predict healthcare-seeking behaviors of mothers for acute respiratory infections and their determinants among children under five in sub-Saharan Africa

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