- 1Department of Midwifery, College of Health Science, Salale University, Fitche, Ethiopia
- 2Department of Epidemiology and Biostatistics, School of Public Health, College of Health Sciences and Medicine, Wolaita Sodo University, Wolaita Sodo, Ethiopia
- 3Department of Public Health, College of Medicine and Health Sciences, Samara University, Samara, Ethiopia
- 4Department of General Midwifery, School of Midwifery, College of Medicine & Health Sciences, University of Gondar, Gondar, Ethiopia
- 5Department of Psychiatry, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
- 6Department of Public Health Officer, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
- 7Department of Ophthalmology, School of Medicine and Health Science, Debre Tabor University, Debre Tabor, Ethiopia
- 8Department of Medical Nursing, School of Nursing, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia
- 9Department of Medicine, Adama General Hospital and Medical College, Adama, Ethiopia
Background: The time during labor and delivery is crucial for the survival of both women and their infants, as complications that occur during this period can significantly increase the risk of morbidity and mortality. In developing nations, women of reproductive age and their infants are still at risk of morbidity and death from complications associated with pregnancy and childbirth. Morbidity and death from complications of pregnancy and childbirth can be prevented through the utilization of quality care during labor and delivery. However, there is limited evidence on the magnitude and factors associated with quality intrapartum care in East Africa. Therefore, this study assessed the magnitude and associated factors of quality intrapartum care among women in East Africa.
Methods: In this study, we used the most recent Demographic and Health Survey (DHS) dataset from 2015 to 2023, covering 11 East African countries. STATA version 18 software was used for data analysis. Multi-level modeling was applied due to the hierarchical or nested structure of DHS data. Variables with a p-value of less than 0.25 in the bivariate multi-level logistic regression model were included in the multivariable multi-level logistic regression analysis. Variables with p-values less than 0.05 were considered significant factors associated with receiving quality intrapartum care.
Results: The prevalence of receiving quality intrapartum care in East Africa was 56.38% [95% confidence interval (CI): 56.03, 56.7]. Women with primary education [Adjusted Odds Ratio (AOR) = 1.39, 95% CI: 1.33, 1.46], secondary education (AOR = 1.62, 95% CI: 1.53, 1.62), and higher education (AOR = 1.46, 95% CI: 1.33, 1.60), those in the middle (AOR = 1.28, 95% CI: 1.23, 1.34) and rich (AOR = 1.36, 95% CI: 1.31, 1.43) wealth index categories, women with one (AOR = 1.17, 95% CI: 1.09, 1.25) or 2–4 (AOR = 1.22, 95% CI: 1.16, 1.28) living children, those who perceived the distance from the health facility as not a big problem (AOR = 1.28, 95% CI: 1.24, 1.33), and women living in Rwanda (AOR = 1.30, 95% CI: 1.19, 1.41) had higher odds of receiving quality intrapartum care. Residing in rural areas (AOR = 0.82, 95% CI: 0.78, 0.86), and being from Ethiopia, Kenya, Madagascar, Malawi, Mozambique, Tanzania, Uganda, Zambia, or Zimbabwe, were factors negatively associated with receiving quality intrapartum care.
Conclusion and recommendations: Nearly half of the women in East African countries did not receive quality intrapartum care. Both individual and community-level variables were significantly associated with receiving quality intrapartum care in East Africa. Improving the quality of intrapartum care requires enhancing women's education, addressing socioeconomic challenges, and increasing access to health facilities through targeted interventions.
Background
Intrapartum care refers to the comprehensive support given to women and their fetuses or newborns throughout the entire process of labor and birth, encompassing the first, second, and third stages of labor, as well as the immediate care provided to both the newborn and the mother following delivery (1). The time during labor and delivery is crucial for the survival of both women and their infants, as complications that occur during this period can significantly increase the risk of morbidity and mortality. The well-being of both the mother and child is influenced by the quality of care the woman receives during labor and childbirth.
In developing nations, women of reproductive age and their infants remain at risk of morbidity and death from complications associated with pregnancy and childbirth (2). According to a World Health Organization (WHO) estimate in 2020, an estimated 287,000 women died from maternal causes worldwide, with a global maternal mortality ratio (MMR) of 223 deaths per 100,000 live births. Sub-Saharan Africa (SSA) had the highest MMR at 545, accounting for 70% of global maternal deaths, with Western, Middle, and Eastern Africa being the regions with the highest maternal mortality rates in the world (3).
According to a WHO report, globally, 47% of all deaths in children under five years of age occurred during the neonatal period (the first 28 days of life). In 2022, approximately 2.3 million newborns died, with SSA accounting for 57% of total under-five deaths and having the highest neonatal mortality rate in the world, at 27 deaths per 1,000 live births (4). This makes the neonatal period one of the most vulnerable stages of life and highlights the need for quality intrapartum and neonatal care.
Despite its importance and the fact that most causes of maternal and neonatal mortality are preventable through quality intrapartum care (including skilled birth attendants at delivery, institutional delivery, and early newborn care), the quality of intrapartum care remains low in SSA (5–9). Studies have shown that factors such as a woman's age, level of education, marital status, wealth index, place of residence, country of residence, media exposure, number of living children, number of Antenatal Care (ANC) visits, and distance from health facilities are associated with the quality of intrapartum care (10–15).
Although studies have been conducted in some East African countries to determine the prevalence of quality intrapartum care, they have been limited to small geographical areas and have not been conclusive. Therefore, this study aims to assess the prevalence of quality intrapartum care and its associated factors in East African countries using nationally representative data from each country. The findings of this study will be valuable for planners, policymakers, non-governmental organizations (NGOs), and researchers in identifying factors related to quality intrapartum care, enabling them to implement suitable interventions and improve the quality of intrapartum care.
Method
Study design, setting, data source, population, and sampling procedures
The recent Demographic and Health Survey (DHS) dataset from 2015 to 2023, which includes 11 East African countries (Burundi, Ethiopia, Kenya, Madagascar, Malawi, Mozambique, Rwanda, Tanzania, Uganda, Zambia, and Zimbabwe), was used in this study. DHS is conducted by the United States Agency for International Development (USAID) through its DHS Program. The survey collects and analyzes data on population, health, and nutrition in developing countries and provides data on a variety of topics, including fertility, family planning, maternal and child health, gender, HIV/AIDS, and other health-related issues. After it was requested, the data was downloaded from the DHS website (https://dhsprogram.com/). The source population was all women who gave birth within two years preceding the survey in all 11 East African countries. The study population was all women who gave birth within two years preceding the survey in all 11 East African countries in selected enumeration areas. The datasets from individual countries were appended to determine the magnitude and factors associated with uptake of quality intrapartum care in 11 East African countries. In DHS, a two-stage stratified sampling procedure was used to select the study participants. Our study included a weighted sample of 80,615 women who gave birth within two years preceding the survey.
Outcome variable
The dependent variable for this study was quality intrapartum care. This variable was generated from a combination of three variables, which include health facility delivery, skilled birth assistant at delivery, and breastfeeding initiation within 1 h (1, 15). Skilled birth attendants are healthcare professionals who attend deliveries, including doctors, nurses, midwives, auxiliary midwives, health officers, and health extension workers. Traditional birth attendants, traditional health volunteers, community health volunteers, neighbors, friends, relatives, and others are not considered skilled birth attendants (15, 16). Women who reported delivering with the assistance of a skilled birth attendant, delivering at a healthcare facility, and having their newborns initiate breastfeeding within one hour of delivery were considered to have received quality intrapartum care (15).
Explanatory variables
Both individual and community-level variables were included in this study following a review of the literature relevant to our study. Community-level variables include residence, distance from health facility, and country of residence. Individual-level variables include age group, women's level of education, partner's level of education, marital status, wealth index, family size, media exposure, number of living children, number of ANC visits, and mode of delivery.
Statistical analysis
For data analysis, STATA version 18 software was used. Before analysis, sample weighting was applied. To account for the hierarchical or nested structure of DHS data, multi-level modeling was used. Variables with a p-value of less than 0.25 in the bivariate multi-level logistic regression model were included in the multivariable multi-level logistic regression. Variables with p-values less than 0.05 were considered significant factors associated with receiving quality intrapartum care.
Ethical considerations
Permission to access the dataset was obtained from the DHS website (https://dhsprogram.com/). Since this study involved secondary data analysis using publicly available survey data from the DHS program, ethical approval and participant consent were not required. The data files do not contain any personal identifiers, such as individual names or household addresses.
Results
Characteristics of the respondents
From the weighted sample of 80,615, about a quarter (25.06%) of the respondents were in the age group of 20–24 years. Almost half (49.77%) of the women had attained primary education. The vast majority, 71,692 (88.93%), of the women were married. More than half (52.10%) of the respondents had no media exposure (had neither a television nor a radio). About 35,087 (43.52%) of the women were in the poor wealth index category. Regarding the mode of delivery, 5,660 (7.04%) of the respondents delivered by cesarean section. More than half, 43,926 (55.56%), of the women had four or more ANC visits during pregnancy. More than three-fourths, 63,241 (78.45%), of the women were rural residents, and about 48,326 (59.95%) reported that the distance to a health facility was not a big problem (Table 1).
Table 1. Characteristics of women who gave birth within two years preceding the survey in East Africa (weighted n = 80,615).
Prevalence of quality intrapartum care uptake
The prevalence of women receiving quality intrapartum care in East Africa was 56.38% (95% CI: 56.03, 56.7) (Figure 1). The highest prevalence of quality intrapartum care was in Malawi (20.51%), while the lowest was in Madagascar (4.92%). About three-fourths (75.61%) of women had institutional deliveries, 76.71% had skilled birth attendants at delivery, and 74.09% initiated breastfeeding within one hour of delivery (Figure 2). More than half (51.98%) of women who attained primary education received quality intrapartum care. About 41.40% of women who received quality intrapartum care were in the rich wealth index category. Nearly one-fourth (24.27%) of respondents who received quality intrapartum care were urban residents.
Figure 1. Prevalence of quality intrapartum care uptake in women who gave birth within two years preceding the survey in East Africa.
Figure 2. Proportion of uptake of components of quality intrapartum care in women who gave birth within two years preceding the survey in East Africa.
Model comparison
For model comparison Deviance, AIC, and BIC were used. Model III, the model with the lowest deviance, AIC, and BIC was considered the best-fit model (Table 2). The null model was fitted without independent variables, while Model I included individual-level variables, Model II included community-level variables, and Model III combined both individual- and community-level variables.
Individual and community-level factors associated with receiving quality of intrapartum care
The results of the multilevel multivariable logistic regression showed that variables such as women's level of education, wealth index, number of living children, type of place of residence, distance from a health facility, and country of residence were significantly associated with the uptake of quality intrapartum care among women in East Africa.
The odds of receiving quality intrapartum care were 1.39 times higher (AOR = 1.39, 95% CI: 1.33, 1.46), 1.62 times higher (AOR = 1.62, 95% CI: 1.53, 1.62), and 1.46 times higher (AOR = 1.46, 95% CI: 1.33, 1.60) among women who attained primary, secondary, and higher education, respectively, compared to those with no formal education. Women in the middle wealth index category had 1.28 times higher odds (AOR = 1.28, 95% CI: 1.23, 1.34) of receiving quality intrapartum care, and women in the rich wealth index category had 1.36 times higher odds (AOR = 1.36, 95% CI: 1.31, 1.43) of receiving quality intrapartum care compared to those in the poor wealth index category. Compared to participants with five or more living children, those with one child and 2–4 children had 1.17 times (AOR = 1.17, 95% CI: 1.09, 1.25) and 1.22 times (AOR = 1.22, 95% CI: 1.16, 1.28) higher odds of receiving quality intrapartum care, respectively. The odds of receiving quality intrapartum care decreased by 18% (AOR = 0.82, 95% CI: 0.78, 0.86) among women residing in rural areas compared to their urban counterparts. Women for whom distance to a health facility was not a big problem had 1.28 times higher odds (AOR = 1.28, 95% CI: 1.24, 1.33) of receiving quality intrapartum care compared to those for whom distance was a big problem. Compared to women living in Burundi, those residing in Rwanda had 1.30 times higher odds (AOR = 1.30, 95% CI: 1.19, 1.41) of receiving quality intrapartum care, while women in all other countries had lower odds of receiving quality intrapartum care (Table 3).
Table 3. Individual and community-level factors associated with receiving quality of intrapartum care among women who gave birth within two years preceding the survey in East Africa.
Discussion
The prevalence of receiving quality intrapartum care in East Africa was 56.38% (95% CI: 56.03, 56.7). This finding was higher than those reported in various studies conducted in Ethiopia, including the North Achefer District (27.3%) (10), North West Ethiopia (13%) (11), Tigray (29.2%) (17), and Tanzania (14%) (14). The observed difference in the prevalence of quality intrapartum care may be attributed to the use of nationally representative data in the current study. Previous studies were limited to specific health facilities in smaller geographical areas. This broader scope in the current study likely provides a more comprehensive view of quality care across the region. The discrepancy may also stem from differences in how quality was assessed. This study focused on three key variables from the DHS, while previous studies used checklists that considered additional factors, such as intrapartum care interventions during labor and delivery, starting from the time of admission, as well as the availability of health services.
The odds of receiving quality intrapartum care were higher in women who attained primary, secondary, and higher education levels compared to those with no formal education. This finding was consistent with the studies conducted in Ethiopia (15) and Uganda (13). A possible reason for this could be that women with higher levels of education are more likely to utilize maternal health services, such as ANC, skilled birth attendance, and postnatal care, due to greater awareness of the importance of timely and appropriate care (18, 19). This increased knowledge leads to a higher likelihood of receiving quality intrapartum care compared to women with no formal education. Women in the middle and rich wealth index categories had higher odds of receiving quality intrapartum care compared to those who were in the poor wealth index category. This finding was supported by studies conducted in Ethiopia (15), Gabon (20), Angola (21), another study in SSA (22), and a study in low- and middle-income countries (23). This might be because wealthier women receive higher quality intrapartum care due to better access to healthcare, the ability to afford skilled services, greater awareness of maternal care, and stronger social support networks (24, 25). Compared to women with five or more living children, those with one and 2–4 living children had higher odds of receiving quality intrapartum care. This finding aligns with studies conducted in Ethiopia (15), low- and middle-income countries (23), Cameron (26), and China (27). One possible reason is that families with many children, especially those in the lower income quintile, face greater financial challenges, making it harder for mothers to afford healthcare costs, resulting in difficulties in accessing quality intrapartum care (23, 27). However, this finding contradicts results from the study in SSA, which revealed that the number of children was positively associated with access to maternal healthcare service (28). This could be because, as women become mothers, they gain a greater understanding of the importance of quality maternal care, which often drives them to seek better healthcare options, recognizing that proper support and resources are essential for their health and the health of their children during this critical time (28, 29).
The odds of receiving quality intrapartum care were lower in women residing in rural areas compared to their urban counterparts. This finding was supported by studies conducted in Hadiya Zone, Ethiopia (30), Low- and Middle-Income Countries (23), Southern Ethiopia (31), and India (32). This could be because urban women are more likely to seek healthcare services than their rural counterparts due to higher levels of knowledge and awareness, better access to government and private healthcare facilities, greater emphasis on education, and the advantages of shorter distances, improved infrastructure, and public transportation (29, 32, 33). The odds of receiving quality intrapartum care were higher in women for whom distance from a health facility was not a big problem, compared to those for whom distance from a health facility was a big problem. This finding was congruent with studies in Ethiopia (5, 10, 34, 35), Nepal (36), and Zambia (37). This could be due to longer distances deterring women from seeking timely medical assistance during labor and delivery, leading to potential delays caused by increased travel time, transportation costs, and the physical challenges associated with reaching healthcare facilities.
Women who live in Rwanda had higher odds of receiving quality intrapartum care, while those who live in Ethiopia, Kenya, Madagascar, Malawi, Mozambique, Tanzania, Uganda, Zambia, and Zimbabwe had lower odds of receiving quality intrapartum care compared to women who live in Burundi. This might be due to Rwanda's strong health system, community-based healthcare initiatives, and significant progress in reducing maternal mortality while improving access to skilled birth attendants (38).
Strengths and limitations
Nationally representative data from 11 East African countries were used in the study. Both individual and community-level variables were considered. Multilevel modeling was employed to account for the hierarchical nature of the data. Despite these strengths, the study has some limitations. The cross-sectional nature of the data prevents the identification of cause-and-effect relationships. Additionally, since the DHS dataset lacks certain variables, such as interventions during labor and delivery that were not included in the analysis, the magnitude of quality intrapartum care may be overestimated.
Conclusion and recommendations
Our study results revealed that nearly half of the women in East Africa did not receive quality intrapartum care. Women's education level, wealth index, and number of living children were individual-level factors significantly associated with the uptake of quality intrapartum care. Residence, perceived distance from health facilities, and country of residence were community-level variables significantly associated with the uptake of quality intrapartum care. Improving the quality of intrapartum care requires enhancing women's education, addressing socioeconomic challenges, and increasing access to health facilities through targeted interventions.
Data availability statement
Publicly available datasets were analyzed in this study. The datasets analyzed during this study are publicly available from the DHS website (https://dhsprogram.com/).
Ethics statement
Ethical review and approval were not necessary for this study on human participants, as it complied with local laws and institutional guidelines. The study utilized secondary analysis of publicly available survey data from the DHS Program (https://dhsprogram.com/), eliminating the need for ethical approval or participant consent. The original studies adhered to local regulations and institutional requirements, with written informed consent obtained from the legal guardians or next of kin of the participants.
Author contributions
AG: Conceptualization, Formal Analysis, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing. AA: Conceptualization, Formal Analysis, Methodology, Software, Validation, Visualization, Writing – original draft. BS: Conceptualization, Formal Analysis, Methodology, Software, Validation, Visualization, Writing – original draft. BF: Conceptualization, Formal Analysis, Methodology, Software, Validation, Visualization, Writing – original draft. MM: Conceptualization, Formal Analysis, Methodology, Software, Validation, Visualization, Writing – original draft. MB: Conceptualization, Formal Analysis, Methodology, Software, Validation, Visualization, Writing – original draft. ZA: Conceptualization, Formal Analysis, Methodology, Software, Validation, Visualization, Writing – original draft. ST: Conceptualization, Formal Analysis, Methodology, Software, Validation, Visualization, Writing – original draft. YN: Conceptualization, Formal Analysis, Methodology, Software, Validation, Visualization, Writing – original draft. HA: Conceptualization, Formal Analysis, Methodology, Software, Validation, Visualization, Writing – original draft.
Funding
The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declare that no Generative AI was used in the creation of this manuscript.
Publisher's note
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Keywords: quality, intrapartum care, associated factors, East Africa, multilevel analysis, demographic and health survey
Citation: Gebrehana AK, Asnake AA, Seifu BL, Fente BM, Melkam M, Bezie MM, Asmare ZA, Tsega SS, Negussie YM and Asebe HA (2024) Quality intrapartum care and associated factors in East Africa: multilevel analysis of recent demographic and health survey. Front. Glob. Womens Health 5:1507224. doi: 10.3389/fgwh.2024.1507224
Received: 7 October 2024; Accepted: 5 December 2024;
Published: 17 December 2024.
Edited by:
Grant Murewanhema, University of Zimbabwe, ZimbabweReviewed by:
Mulualem Silesh, Debre Berhan University, EthiopiaEllen Kitson-Reynolds, University of Southampton, United Kingdom
Copyright: © 2024 Gebrehana, Asnake, Seifu, Fente, Melkam, Bezie, Asmare, Tsega, Negussie and Asebe. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Alemayehu Kasu Gebrehana, YWxlbWF5ZWh1a2FzdTNAZ21haWwuY29t