Background

Fever and cough are common symptoms in under-five children and are often associated with self-limiting illness [1, 2]. However, the majority of cases are resolved on their own without the need for specific medical treatment, caregivers need to monitor their child's symptoms closely and seek medical attention if necessary [3]. Overuse and misuse of antibiotics are significant contributors to the emergence of antibiotic-resistant bacteria [4]. Antibiotic resistance is a serious global health concern as it can lead to infections that are difficult or impossible to treat. Following the introduction of antibiotics, significant reduction in bacterial disease-related mortality [5]. However, the misuse and overuse of antibiotics have led to the emergence of Antimicrobial Resistance (AMR) [6].

An estimated 5 million deaths in 2019 were attributed to bacterial antimicrobial resistance, according to the Global Burden of Bacterial Antimicrobial Resistance report [7]. Respiratory infections, the most common infectious syndrome, are responsible for over 1.5 million of these deaths [8]. These infections pose a significant challenge in sub-Saharan Africa (SSA), a region where, despite global advancements in healthcare, the mortality rate for children under five remains alarmingly high due to such prevalent infectious diseases [9, 10].

Empirical antibiotic therapy is indeed frequently used in SSA, where there is a high burden of infectious diseases and limited diagnostic capacity [11]. In this setting, clinicians prescribe antibiotics based on clinical judgment without waiting for diagnostic test results [12]. Such empirical therapy, while sometimes necessary, raises concerns about antibiotic overuse, a primary cause of AMR [13]. Understanding the determinants of antibiotic prescriptions from qualified sources of children under five who had a fever/cough can offer valuable insights, potentially guiding targeted interventions [14]. There are published studies on the source of antibiotic prescriptions that revealed that the majority of the antibiotics were not prescribed by formal health care professionals in the low-and middle-income countries such as SSA [15,16,17].

According to our literature review, there is no published study on whether the prescribed antibiotics for under-five children with fever/cough in SSA originated from qualified sources. Therefore, this study examined the factors associated with the use of antibiotics obtained from prescription and non-prescription sources for children with illnesses associated with fever and cough in SSA. The findings of this study would be crucial in reducing drug resistance and related complications.

Methods and materials

Data source

Secondary data analysis was conducted based on the most recent Demographic and Health Survey (DHS) data of 37 sub-Saharan African (SSA) countries that have data on the sources of prescriptions for antibiotics used for cough and fever among under-five children (Angola, Burkina Faso, Benin, Burundi, Dr Congo, Congo, Cote d’Ivoire, Cameroon, Ethiopia, Gabon, Ghana, Gambia, Guinea, Kenya, Comoros, Liberia, Lesotho, Madagascar, Mali, Mauritania, Malawi, Mozambique, Nigeria, Niger, Namibia, Rwanda, Sierra Leone, Senegal, Sao Tome, Swaziland, Chad, Togo, Tanzania, Uganda, South Africa, Zambia, and Zimbabwe). DHS is conducted every five years to generate updated health and health-related indicators. A two-stage stratified sampling technique was employed to recruit the samples with Enumeration Areas (EAs) and households as primary and secondary sampling units, respectively. The detailed methodology is available athttps://dhsprogram.com/Methodology/index.cfm. The data were extracted using the Kids Record dataset (KR file) after we obtained an authorization letter from the measure DHS program for data access. Mothers or caregivers of under-five children were asked about whether their children experienced fever and/or cough within 2 weeks within 2 weeks preceding the survey. Then, for those who experienced cough and/or fever were asked for the source of the prescription. A total weighted sample of 18,866 under-five children in SSA who took antibiotics for fever/cough were considered for this study (Table 1).

Table 1 Weighted sample size by country

Measurement of the variables

The outcome variable was antibiotics taken for fever/cough prescribed from qualified sources. It was generated using three DHS questions such as "had fever/cough within 2 weeks?", "antibiotic taken for fever/cough?" and "source of prescription?". Then, we classified the source of prescription as prescribed from formal healthcare settings and prescribed from informal healthcare settings. Antibiotics prescribed from governmental hospitals, clinics, Non-governmental Organizations (NGOs), private hospitals, and public health sectors were classified as prescribed from formal healthcare settings, and shops, churches, traditional practitioners, drug sellers, friends, relatives, supermarkets, and others were classified as prescribed from informal healthcare settings [18]. Independent variables included in this study were the child's age, sex of the child, household wealth status, maternal age, maternal level of education, number of under-five children in the household, mothers' healthcare decision-making autonomy, media exposure, mother working status, delivery by cesarean section, duration of breastfeeding, residence and ever had vaccination.

Data management and analysis

All the analyses reported in this study were based on the weighted data. STATA version 17 statistical software was used for the data management and analysis. As the proportion of antibiotics taken for fever/cough prescribed from formal health care settings among under-five children in SSA was 67%. In this case, using Odds Ratio (OR) as an effect measure could exaggerate the relationship between the dependent and independent variables. Therefore, we applied the multilevel modified poisson regression model to obtain the prevalence odds ratio.

We preferred this model because of the following reasons. For start, when the magnitude of the outcome variable is common, the odds ratio obtained using the binary logistic regression approach overestimates the strength of the relationship. Second, because the DHS data is hierarchical, mothers were nested within cluster/EA. As a result, our model considers data dependencies as well as the problem of overestimation.

The Likelihood Ratio (LR) test, Intra-class Correlation Coefficient (ICC), and Median Odds Ratio (MOR) were computed to measure the variation between clusters. The ICC quantifies the degree of heterogeneity between clusters (the proportion of the total observed individual variation of antibiotics taken for fever/cough prescribed from qualified sources among under-five children that is attributable to cluster variations).

\(ICC= {\delta }^{2}/{(\partial }^{2}+ {\pi }^{2})\) [19], but MOR quantifies the variation or heterogeneity in outcomes between clusters and is defined as the median value of the odds ratio between the cluster at more likely to have antibiotics taken for fever/cough prescribed from formal health care settings and cluster at lower risk when randomly picking out two clusters (EAs) [20].

$$\text{MOR}=\exp\left(\sqrt{2\ast\partial2\ast0.6745}\right)\sim\text{MOR}=\exp\left(0.95\ast\partial\right).$$

\(\partial^2\) indicates that cluster variance

Variables with a p-value < 0.2 in the bi-variable multilevel modified poisson regression analysis were considered for the multivariable analysis. Deviance was used to verify model fitness and a model with the lowest deviance was considered the best-fit model. Finally, the Adjusted Prevalence Odds Ratio (APOR) with its 95% confidence interval (CI) was reported, and variables with a p-value < 0.05 in the multivariable analysis.

Ethical consideration

There was no need for ethical clearance as the researcher did not interact with respondents. The data used was obtained from the MEASURE DHS Program, and permission for data access was obtained from the Measure DHS program through an online request from http://www.dhsprogram.com.

Results

Descriptive characteristics of study participants

A total weighted sample of 18,866 under-five children in SSA who took antibiotics for fever/cough were included. Among them, 11,664 (61.83%) were residing in rural areas. About 9,618 (50.98%) were males and 2,899 (27.01%) were aged 12–23 months. Regarding household wealth status, 3,618 (19.18%) and 3,829 (20.29%) of the children belonged to the poorest and richest households, respectively. Among 18,866 under-five children who experienced fever and took antibiotics, about 7048 (37.36%) of the children's mothers attained a primary level of education (Table 2). The proportion of use of antibiotics prescribed from unqualified sources for under-five children who had a fever/cough and took antibiotics was 67.19% (95% CI: 66.51%, 67.85%). It ranged from 40.34% in Chad to 92.67% in Sao Tome (Fig. 1).

Table 2 Distribution of under-five children who had cough/fever and took antibiotics in SSA
Fig. 1
figure 1

Proportion of under-five children who took antibiotics prescribed from informal sources in SSA

Multilevel-modified poisson regression results

The multilevel modified poisson regression model was the best-fitted model (deviance = 13,469) and had a smaller deviance value than the standard regression model (deviance = 13,502). In addition, the Likelihood Ratio (LR) test was statistically significant (p < 0.05), indicating that the advanced model was the best-fitted model for the data.

In the multivariable multilevel modified poisson regression analysis; residence, age of the child, mother's level of education, household wealth status, number of under-five children, and mother's healthcare decision-making autonomy were significantly associated with the use of antibiotics prescribed from formal health care setting for fever/cough among under-five children. The prevalence odds of the use of antibiotics prescribed from formal health care settings for fever and cough of under-five children were increased by 1.23 times (AOR = 1.08, 95% CI: 1.04, 1.12) compared to urban children. The prevalence odds of the use of antibiotics prescribed from formal health care setting for fever/cough among under-five children born to mothers whose husband and someone else decided on their child health issues were decreased by 10% (AOR = 0.90, 95% CI: 0.86, 0.94) and 5% (AOR = 0.95, 95% CI: 0.90, 0.99) compared to those who made their child health issues alone, respectively.

Children belonging to middle household wealth status had 1.23 times (AOR = 1.07, 95% CI: 1.02, 1,11) higher prevalence odds of taking antibiotics prescribed from formal health care setting for fever/cough compared to those belonging to the poorest households. The prevalence odds of taking antibiotics prescribed from formal health care settings among children in households that had two, three, and four under-five children were decreased by 6% (AOR = 0.94, 95% CI: 0.91, 0.97), 11% (AOR = 0.89, 95% CI: 0.85, 0.93) and 10% (AOR = 0.90, 95% CI: 0.83, 0.98) compared to having one under-five children, respectively.

Maternal exposure to news/electronic media increased the prevalence odds of taking antibiotics prescribed from formal health care settings for their children with fever/cough by 1.06 times (AOR = 1.06, 95% CI: 1.02, 1.10). The prevalence odds of taking antibiotics prescribed from formal health care setting for fever/cough among under-five children whose mothers had primary, and secondary education lowered by 4% (AOR = 0.96, 95% CI: 0.79, 0.93), and 5% (AOR = 0.95, 95% CI: 0.92, 0.99) compared to those whose mother had no formal education, respectively (Table 3).

Table 3 Factors associated with an antibiotic prescription from a formal health care setting for under-five children with fever/cough in SSA

Discussion

In this study, the proportion of use of antibiotics prescribed from a formal health care setting for under-five children with fever and cough in SSA was found to be 67.19% (95% CI: 66.51%, 67.85%). In the multilevel modified poisson regression analysis; residence, media exposure, wealth status, number of under-five children in the household, maternal educational status, and women's autonomy in making healthcare decisions were significantly associated with the use of antibiotics prescribed from the formal healthcare setting.

This study showed that only two-thirds of under-five children with cough and fever took antibiotics prescribed by qualified healthcare settings in SSA. It was consistent with a previously published study [21], the limited availability and accessibility of healthcare services, along with limited trained healthcare professionals, are significant challenges faced by many sub-Saharan African countries [22]. Another reason can be due to the extreme poverty in SSA could limit people from visiting formal healthcare settings to obtain prescribed antibiotics as out-of-pocket expenses for diagnostic investigations and related costs are not affordable [23,24,25]. In addition, the cost of healthcare is high in many African nations, which makes people search for less expensive options. Because pharmacies are more cost-effective than certified healthcare providers, people buy antibiotics for less money [26].

Maternal educational status was significantly associated with taking antibiotics prescribed from the formal healthcare setting. This could be because education enhances mothers' knowledge towards healthcare-seeking behaviour for childhood illness and treatment [27]. This could boost their confidence to buy antibiotics for treating their children with cough and fever without visiting the health care facilities [28]. Acute febrile illness and cough among under-five children are common and self-limiting, and usually mothers or care-givers buy and give empirical therapy to their children.

Children living in rural areas had higher odds of using antibiotics prescribed from formal healthcare settings. It could be due to compared to urban residents, rural residents are not familiar and lack of confidence with the use of antibiotics without prescription from qualified healthcare professional [29, 30]. In addition, mothers or care-givers in rural areas may not be knowledgeable about their children medical needs or may not understand which antibiotics are used to treat diseases associated with cough and fever [31]. As a result, they may rely on advice from qualified health professionals, Secondly, the availability of pharmacies is higher in cities than in rural areas, which leads to the unsupervised acquisition of antibiotics without appropriate medical advice [32]. Together, these factors lessen the need for licensed medical professionals to prescribe antibiotics in urban settings. This research raises the possibility that rural and urban areas have different access to trained medical professionals, which could affect the recommendation and use of antibiotics for treating fever and cough in children under five.

We found that household wealth status significantly associated with the source of prescription for antibiotics for children with cough and fever. Children belonged to the middle household wealth had increased odds of using antibiotics prescribed from formal healthcare settings. This could be due to the fact that wealth status influences mother’s healthcare-seeking behavior and the likelihood of using antibiotics prescribed by qualified sources [33, 34]. Mothers with higher wealth status often have better access to healthcare services, including qualified healthcare providers who can accurately diagnose conditions and prescribe appropriate treatments, including antibiotics when necessary [35].

Efforts to improve access to healthcare services, particularly for marginalized populations, and to provide education on appropriate antibiotic use are essential for addressing disparities in antibiotic utilization and combating antibiotic resistance across all socio-economic groups.

Another significant predictor was the number of under-five children in the household. The higher the number of under-five children in the household the lower the odds of taking antibiotics prescribed from a formal healthcare setting for fever/cough compared to children in households with only one under-five child. This is because households with multiple children typically have greater experience with common childhood illnesses and treatment [36]. Therefore, they may self-diagnose and provide antibiotics without a prescription from formal healthcare. Besides, families with a higher number of under-five children might be struggling financially and more likely to look for more convenient and reasonably priced ways to get antibiotics [37].

Media exposure increases the likelihood of using antibiotics for fever/cough prescribed in formal healthcare settings. It is consistent with study findings reported in Bangladesh [38]. This could be because the media is a powerful tool in disseminating health-related information and raising awareness of available healthcare resources. Furthermore, the mother's healthcare decision-making autonomy was found a significant factor. Healthcare decisions for a child's health issue made by their father or someone else decrease the odds of receiving antibiotics prescribed from a formal healthcare setting for fever/cough. This highlights the importance of maternal autonomy in healthcare decision-making and its potential impact on antibiotic utilization patterns. Additionally, previous studies have indicated that lower maternal autonomy is linked to a reduced likelihood of seeking treatment.

Strengths and limitations

Our study has notable strengths, including a large sample size encompassing 37 countries in the SSA region. In addition, we used a robust statistical approach to obtain the prevalence odds ratio to prevent the overestimation of the association between variables. However, it is important to acknowledge several limitations. Firstly, the cross-sectional design of the study restricts our ability to establish causal relationships between variables. Secondly, our classification of antibiotic sources was limited to formal and informal healthcare settings, and future studies could explore the associations between different factors and various sources of antibiotics. Further research is necessary to provide a comprehensive understanding of prescription patterns for antibiotics in other common childhood illnesses such as diarrhea, Acute Respiratory Infection (ARI), and others.

Conclusion

The study has shown that the majority of the antibiotics used for fever and cough in under-five children were prescribed from formal healthcare settings. Overall, our study provides valuable insights into the factors associated with use of antibiotics prescribed from formal healthcare settings for fever and cough in under-five children. The findings underscore the significance of addressing healthcare disparities, improving access to qualified healthcare providers, promoting maternal education, and empowering mothers in healthcare decision-making to ensure appropriate antibiotic use in this vulnerable population. Further research and interventions targeted at these factors are warranted to optimize antibiotic prescribing practices and promote responsible antibiotic use in the management of fever and cough in under-five children.