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Prevalence and Factors Associated with Immediate Postnatal Care Utilization in Ethiopia: Analysis of Ethiopian Demographic Health Survey 2016

Authors Tsegaye B, Amare B, Reda M

Received 1 December 2020

Accepted for publication 11 February 2021

Published 24 February 2021 Volume 2021:13 Pages 257—266

DOI https://doi.org/10.2147/IJWH.S294058

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Everett Magann


Berhan Tsegaye,1 Belay Amare,1 Mulu Reda2

1Hawassa University College of Medicine and Health Science, Department of Midwifery, Hawassa, Ethiopia; 2Hawassa University College of Natural and Computational Science, Department Statistics, Hawassa, Ethiopia

Correspondence: Belay Amare
Hawassa University College of Medicine and Health Science, Department of Midwifery, Hawassa, Ethiopia
Tel +251967136387
Email gideteb60@gmail.com

Background: Maternal mortality is unacceptably high in Ethiopia. Most maternal complications are preventable using immediate postnatal care. However, it is not utilized effectively. Hence, this study can assist in formulation of national policies to increase use of immediate postnatal care in Ethiopia.
Objective: To assess the prevalence and factors associated with immediate postnatal care utilization in Ethiopia, in 2016.
Methods: Secondary data analysis was done on Ethiopian Demographic Health Survey 2016 data, in a stratified, two-stage, and cluster sampling study. This analysis was restricted to postnatal women who had given birth at least once in the five years before the survey. Chi-square test of statistics was performed to identify factors associated with immediate postnatal care service uptake. Bi-variable and multi-variable logistic regression analyses were carried out to identify factors associated with immediate postnatal care utilization. Odds ratio with 95% confidence level was computed and P-value < 0.05 was considered as statistically significant in the multivariable logistic regression.
Results: The overall level of immediate postnatal care service utilization was 6.3% in Ethiopia. Urban setting (AOR=2.3, 95% CI, 1.9, 2.9), higher education status (AOR=1.6, 95% CI, 1.3, 2.0), secondary education status (AOR=2.6, 95% CI, 1.9, 3.6), primary education status (AOR=3.1, 95% CI 2.0, 4.6), always listening to the radio (AOR=2.4, 95% CI, 1.7, 3.2), being in a richer wealth quintile (AOR=4.2, 95% CI, 3.0, 5.8), being in a middle wealth quintile (AOR=2.8, 95% CI, 2.0, 3.9), being in a poorer wealth quintile (AOR=1.9, 95% CI, 1.3, 2.8), having fewer than six children (AOR=1.3, 95% CI, 1.1, 2.0), and being told about pregnancy complications (AOR=2.2, 95%CI, 1.7, 2.7) were factors positively associated with utlilization of immediate postnatal care.
Conclusion: Prevalence of immediate postnatal care utilization is still low in Ethiopia. Awareness should be created about immediate postnatal care utilization through the efforts of health extension workers. In addition, the Ethiopian government should design strategies to enhance the socio-economic status of women. Beside these, information about postnatal care and its benefit is critical and can be transmitted through mass media.

Keywords: immediate postnatal care, Ethiopian demographic health survey, 2016

Background

Postnatal care service aims at provision of appropriate care for both women and newborns. Besides, it protects against complications which endanger their lives.1 Around 287,000 women die from complications occurring during pregnancy, childbirth and postpartum periods every year in the world. Almost all of these deathsoccur in sub-Saharan African countries.2 Previous studies stated that 50% of maternal deaths and 40% of neonatal deaths occur within 24 hours after childbirth.3,4 In Ethiopia, the maternal mortality ratio was 401 per 100,000 live births in 2017. The incidence of these deaths decreases with increasing time from birth.5,6

The World Health Organization (WHO) recommends four standard postnatal care visits: 1, 3, 7–14 and 42 days after birth.7 Specifically, the Ethiopian Federal Ministry of Health recommends four postnatal care visits at 6–24 hours, 3 days, 6 days and 42 days.8 Based on WHO data, the first 24 hours after birth is the most critical time to diagnose complications and provide suitable interventions.9

Postnatal care utilization could prevent the death of 60,000 newborns every year. In Ethiopia, it should be possible to reduce neonatal mortality by 10–27% through effective postnatal care utilization.10

Regardless of its benefit, mothers generally do not visit health institutions following childbirth in Africa. Consequently, the coverage of postnatal care service is one of the lowest among reproductive and child health services.11 For example, the Ethiopia Demographic and Health Survey 2005 reported that 95% of women did not receive postnatal care in the first 2 days after childbirth.12 Moreover, postnatal care utilization was only 8% in Ethiopia in 2011.13 In addition, only 34.3% of women received postnatal care at 6 weeks after delivery.14

Previous studies have indicated that multi-layered and interlinked factors affect postnatal care utilization. For example, institutional delivery utilization, marital status, wealth quintile and age were reported as factors associated with postnatal care service utilization.15 Place of residence, ethnicity, pregnancy intention, antenatal care visits and place of delivery were reported factors associated with variable postnatal care uptake.16 There is also evidence that maternal occupation and pregnancy intention were important predictors of postnatal care utilization.17 Besides, maternal education, education of partners, health facility delivery, and a skilled delivery attendant at least one postnatal care visit were among valuable factors associated with postnatal care utilization.18

The Ethiopian government target is to reduce the maternal mortality ratio to 70 deaths per 100,000 live births by 2030.19 Hence, Ethiopia has applied many different strategies to reduce maternal mortality. Comprehensive postnatal health packages through the health extension program is one of the key approaches among these strategies. Postnatal care is the most useful, but the most neglected maternal health service component to improve the survival of women and their babies. Although previous studies have focused on antenatal and delivery service utilization, information on postnatal care is scarce. There is a paucity of national research on immediate postnatal care. The main aim of this study is to assess the prevalence of immediate postnatal care utilization and associated factors in Ethiopia, in 2016.

Methodology

Study Area and Period

Ethiopia is divided into nine regional states and two city administrations. Each regional state is further divided into zones. Zones are again divided into administrative units called districts. Districts are further subdivided into the lowest administrative units called ‘Kebeles’. A primary health-care package includes preventive, promoting, and curative services. Postnatal care is one of the most valuable aspects of primary health care. In Ethiopia, health sector development Plan-I has introduced a four-tier health system for health service delivery. It consists of the following institutions in hierarchy: One health center and five satellite health posts, district hospital, zonal hospital, and specialized hospitals. Postnatal care services are primarily offered in health centers free of charge for pregnant women. According to Federal Ministry of Health recommendations, postnatal care should be conducted by health extension workers through home-to-home visits at 24 hours, 3 days and 7 days after birth.20 The data collection period of the Ethiopian Demographic Health Survey was from January 18 to June 27, 2016.

Study Variables

Immediate postnatal care service utilization was the outcome variable for this study. It is a binary outcome variable. Study participants were asked “Whether they utilized postnatal care or not at least one time in the first 24 hours after birth in the most recent birth”. They answered either ‘Yes’ or “No”. These answers were coded as ‘1ʹ and ‘0ʹ respectively during analysis of this study. The covariates included in this study were grouped into socio-demographic and reproductive factors. Socio-demographic factors were variables such as age, place of residence, educational status, husband’s educational status, religion, ethnicity, marital status and wealth quintile of women, and total family size. Reproductive variables included in this study were age at first marriage, total number of children, antenatal care visits, place of delivery, current pregnancy status, and own mobile phone. The authors classified and categorized some variables to make them comparable with other studies. For example, age of participants was a continuous variable expressed in completed years. It was classified into three categories as: 15–24, 25–34, and 35–49 years. Furthermore, ethnicity was classified into five classes based on their proportion from largest to lowest in Ethiopia. These included: Amhara, Oromo, Somali, Sidama, and Others. The variable total family size was categorized into two parts: 1–5 persons and 6 and more persons. In addition, age at first pregnancy was classified into two classes based on the Ethiopian legal age for marriage. These included age less than 18 years and 18 and above years.

Operational Definition

Immediate postnatal care is when participants utilize postnatal care at least once within 24 hours after discharge if participants deliver in a health institution or at home. Wealth index was constructed using principal components analysis on household asset data. Individuals were classified into five wealth quintiles (poorest, poorer, medium, richer, and richest). Variables included in the wealth index were ownership of selected household assets, size of agricultural land, quantity of livestock, and materials used for house construction.21

Sample Size and Sampling Procedures

The 2007 population and housing census, which was conducted by the central statistical agency, was the source of the sampling frame for EDHS 2016. Samples were selected using a stratified, two-stage cluster design. Each Kebele (the smallest administration unit of Ethiopia) was subdivided into enumeration areas (EAs) in the 2007 census. They were convenient for the implementation of the census. Enumeration areas were the sampling units in the first stage. There were 181 households in each EA. Stratified, two-stage cluster sampling technique was applied in EDHS 2016. First, 645 EAs were selected, and allocated proportionally in urban and rural areas based on their total number of EAs in Ethiopia. Consequently, 202 were selected from urban areas, and 443 from rural areas. Second, a fixed number of 28 households per cluster/EA were selected using systematic random sampling. Hence, a total of 18,008 households were selected in the country. From these, 17,067 households were occupied by women of reproductive age. However, effective interviews were conducted over 16,650 households. From these, only 16,583 eligible reproductive age women existed in the selected households. Specifically, only 15,683 study participants gave a full response, resulting in a response rate of 95%. A total of 7590 study participants who had given birth at least once in the five years before the survey were selected, and analyzed for the current study.22

Study Design and Population

Secondary data analysis was conducted on the Ethiopian Demographic Health Survey 2016. The EDHS is a community based survey which is conducted at five-year intervals at a national level. Women who gave birth at least once in the five years before the survey were selected for this secondary analysis. For those respondents who gave birth more than once in the past five years, the most recent birth was taken for the current analysis. Therefore, all women who gave the most recent birth in the past five years before data collection of EDHS 2016, and had come for postnatal checkup within 24 hours were the study population of this study. All women who gave birth at least once from 2011–2016 in Ethiopia were the source population of this study.

Data Collection

Fieldwork was carried out by 33 field teams, each consisting of 1 team supervisor, 1 field editor, 3 female interviewers and 1 male interviewer. In addition, there were 14 quality controllers for EDHS 2016. The pretest was conducted from October 1–28, 2015, in Bishoftu. The central statistical agency recruited 294 people for the main fieldwork, and they were trained to serve as team supervisors, field editors, interviewers, secondary editors, and reserve interviewers. The DHS Program’s standard Demographic and Health Survey questionnaires were adapted to reflect the population and health issues relevant to Ethiopia. Five questionnaires were used for the 2016 EDHS: Household questionnaire, woman’s questionnaire, man’s questionnaire, biomarker questionnaire, and health facility questionnaire. Further details of sampling, questionnaire and procedure can be found in the publicly available survey sampling. The woman’s questionnaire was used to collect information from all eligible women aged 15–49. These information includes: background characteristics, family planning, antenatal, delivery, and postnatal care, breastfeeding, sexually transmitted infections, female genital cutting, fistula, violence against women.

Data Analysis

Data were analyzed using SPSS version 22 software. First, we selected, re-categorized, and coded important variables for this analysis in the current study. We made them comparable across studies throughout countries. In this analysis, we followed a series of steps. Step 1, we applied sample weighting to compensate for unequal probability of selection among geographic strata. Ideally, both bias and variance should be minimized in a complex survey. Weighting variable was created by dividing the individual woman variable (V005) by 1,000,000. Hence, prevalence of immediate postnatal care utilization was calculated after weighting the data.

Stratification and clustering were used to compute standard error. We created a plan file by using three variables needed to set up complex samples. These include the following variables in the dataset: primary sample unit (021), sample strata (v022), and weighting created in step 1. Third, we have fixed sampling with replacement as estimator assumption. Finally, we have analyzed the plan file created in these three steps to identify factors associated with immediate postnatal care utilization. Chi-square test was performed to observe any association between independent variables and an outcome variable. First, we performed binary logistic regression analysis to identify variables associated with immediate postnatal care service utilization. In bi-variable logistic regression analysis, we took variables with P-value less than or equal to 0.05 into multivariable logistic regression analysis to control cofounders. Then, variables which had significant association with antenatal care utilization were identified based on Adjusted Odds Ratio (AOR) and P-value less than 0.05 in the multivariable logistic regression analysis model. Descriptive statistics are presented by the use of texts and tables.

Results

Socio-Demographic Characteristics

The majority (3826; 50.4%) of the study participants were in the age range 25–34 years. Nearly all (2884; 97.5%) participants were married. The majority (2114; 71.4%) of the study participants had no education. From the total respondents more than half (1741; 58.9%) had no work. The majority of the study participants (2734; 92.4%) was living in a rural area (Table 1).

Table 1 Socio-Demographic Characteristics of Women Who Utilized Postnatal Care Service in the First 24 Hours for Their Most Recent Birth in 2016 (N=7590)

Most of the respondents (6555; 91.9%) were married at the age of 15–24 years. One of every two study participants had five and above children. More than half (4771; 62.9%) of the respondents had antenatal follow-up in the last childbirth. Most (90.9%) of the study participants were not pregnant at the time of interview. The majority (5491; 72.3%) of the study participants did not listen to the radio at all. Most of the health providers (175; 36.7%) who provided immediate postnatal care were nurses. The second most prevalent health professional who provided postnatal checkup was health extension workers (157; 32.9%) (Table 2).

Table 2 Reproductive Health Characteristics of Women Who Access Postnatal Care in 2019 (N=7590)

Prevalence of Immediate Postnatal Care

Data from a total of 7590 participants were extracted and analyzed. The response rate of this study was found to be 100%. Prevalence of immediate postnatal care utilization was 478 (6.3%) in this study.

Cross Tabulation of Factors Associated with Immediate Postnatal Care Utilization

As shown in eight variables were associated with immediate postnatal care utilization using chi-square test statistics. Variables with P value less than 0.05 were reported to have a significant association with outcome variables and were taken to bi-variable logistic regression analysis. All of these eight variables also showed significant association in bi-variable logistic regression. P-value of less than 0.25 was considered as a cutoff point for significantly associated variables in the bi-variable logistic regression analysis (Table 3).

Table 3 Cross Tabulation of Factors Associated with Immediate Postnatal Care in Ethiopia in 2016, EDHS (N=7590)

Factors Associated with Immediate Postnatal Care

There were eight factors significantly associated with immediate postnatal care utilization in this study. But, only six factors were identified as being statistically significant in the multivariable logistic regression analysis. Women who lived in urban areas were 2.3 times more likely to utilize postpartum care than their counterparts (AOR=2.3, 95% CI, 1.9, 2.9). Compared with non-educated women, women with higher education status were 1.6 times more likely to use the postnatal care service (AOR=1.6, 95% CI, 1.3, 2.0). Women with secondary education status were 2.6 (AOR=2.6, 95% CI, 1.9, 3.6), and women with primary education were 3.1 times (2.0–4.6) more likely to utilize postnatal care than uneducated women. Women who always listen to the radio were 2.4 times more likely than their counterparts (AOR=2.4, 95% CI, 1.7, 3.2) to utilize the postnatal care service. Women in richer wealth quintile were 4.2 times (AOR=4.2, 95% CI, 3.0, 5.8), women in middle wealth quintile were 2.8 times (AOR=2.8, 95% CI, 2.0, 3.99), women in poorer wealth quintile were 1.9 (AOR=1.9, 95% CI, 1.3, 2.8) times more likely than the poorest women to utilize postnatal care. Women who had less than six children were 1.3 times more likely to utilize postnatal care than their counterparts (AOR=1.3, 95% CI, 1.1, 2.0). This analysis also reveals that women who were told about pregnancy complications were 2.2 times more likely to use postnatal care than their counterparts (AOR=2.2, 95% CI, 1.7, 2.7) (Table 4).

Table 4 Factors Associated with Postnatal Care Service Utilization from Backward Stepwise (Wald) Analysis of Multi-Variable Logistic Regression Among Study Population (N=7590)

Discussion

We have tried to assess immediate postnatal care utilization in Ethiopia using data from the Ethiopian Demographic Health Survey 2016. Although previous studies were conducted in Ethiopia, they failed to address immediate postnatal care uptake at a national level. Most maternal deaths that are occur are due to heavy bleeding within 24 hours of childbirth. Hence, immediate postnatal care utilization is the critical period in the lives of women and their children. Furthermore, this study had a number of unique characteristics: the proportion of immediate newborn care at community level, EDHS data use a standard measurement tool, and the study utilized an adequate sample size.

Prevalence of immediate postnatal care utilization was found to be 6.3% in this study. This finding is lower than those of studies conducted in some other African countries: Tanzania (10.4%), Rwanda (12.8%),15 and Nigeria (37%).23 The possible reason for this difference might be due to low awareness level of immediate postnatal care availability among women in this study.24 It might be also be due to widespread cultural and spiritual taboos, and misinformed beliefs in Ethiopia. For instance, that postpartum women should not go out of home alone as they could be affected by evil spirits. Previous research showed that women might not utilize postnatal care due to social and traditional perceptions.25,26 Lastly, it is apparent that the socio-demographic level of study participants in Ethiopia and the study participants in countries mentioned above are be comparable.

In this study, postnatal care utilization is highly associated with socio-demographic factors and reproductive factors. These were: Educational status, place of residence, listening to the radio, wealth quintile, number of children, and being told about pregnancy complications. Specifically, urban women were more likely to utilize immediate postnatal care than their counterparts. This finding is consistent with a study conducted in Loma district, South Ethiopia.27 This might be due to the fact that study participants in urban areas have more access to information about the benefits of immediate postnatal care service utilization than their counterparts. A previous study also showed that the extent of women’s awareness about postnatal care availability determined postnatal care service uptake.28 Moreover, urban dwellers could access immediate postnatal care services more easily than their counterparts. In addition, cultural malpractice and misconceptions are more prevalent among rural communities which can hinder postnatal care utilization. More than 80% of Ethiopian women are believed to live in rural areas, from which the study participants were drawn for this study. Women are affected by several reasons mentioned above and they could not use immediate postnatal care. Most previous studies were conducted on health institutions and relatively urban areas which cannot capture reliable estimates of utilization of immediate postnatal care.

Women with primary education status had higher odds of immediate postnatal care utilization than non-educated women, and women with secondary education status were more likely to utilize immediate postnatal care than non-educated women. Women with higher educational status were far more likely to use an immediate postnatal care service than non-educated women. This finding is in line with finding of studies conducted in Ethiopia, Indonesia, Uganda, and India.29–31 This consistency could be explained by the fact that education gives women skills in informed decision making, which in turn increases their health-seeking behavior.32,33 Furthermore, education can give economic independence and political participation through which women can attain gender equality.34 As overall women’s development is improved, they start to use health services including postnatal care. Furthermore, education is the key for health service utilization through reading of health messages. Most Ethiopian women who live in rural areas marry young, and they are uneducated. Women who listened to the radio at least once per week utilized immediate postnatal care services more than women who did not listen at all. This result is consistent with studies in Adwa, Southern Ethiopia, Jabitena Amhara, Kenya and Nepal.18,35–38 It is clear that listening to the radio can increase the chance of getting information about immediate postnatal care utilization. So, study participants can anticipate health risks and benefits of having immediate postnatal care in the first 24 hours.39,40 This could indicate media had little role on the improvement of immediate postnatal care. Specifically, the radio had higher impact on health messages; however, the radio had little or no airtime for messages about danger signs after delivery, thus leaving women unaware and with less uptake of the service. Women in the richer wealth quintile were more likely to utilize immediate postnatal care than women in the poorest wealth quintile. Women in the middle wealth quintile were more likely to utilize immediate postnatal care than women in the poorest wealth quintile, and women in the poorer wealth quintile were more likely to use immediate postnatal care than women in the poorest wealth quintile. This finding is consistent with a study conducted in Rwanda.15 The expected explanation could be that wealth is necessary for direct and indirect costs related with immediate postnatal care utilization, and to have different assets as sources of information. Previous evidence showed that low wealth in a household leads to low maternal health service utilization.41 Women who have six or fewer children were more likely to utilize an immediate postnatal care service than their counterparts. This was in line with another study done in Ethiopia.42 The possible reason might be that women with fewer children had little experience about pregnancy and childbirth. So, they had less confidence in their health status which in turn increases immediate postnatal care utilization. Moreover, women who had few children could get enough income and time to care for their babies than their counterparts. This is supported by the findings of previous studies.43,44 Study participants who were told about pregnancy complications used immediate postnatal care services more than their counterparts. This study finding is in line with a previous study done in Goba Woreda, in Ethiopia.45 The possible explanation might be due to the fact that awareness of maternal complications is an important factor in motivating women and their families to attend a health-care service at the earliest time.

Limitation and Strength

The current study has a number of strengths. We used national survey data and a relatively large sample size with a high response rate (95%). It utilized internationally validated and nationally adapted surveys. Therefore, the current findings are generalizable to the entire country. This is more likely to yield accurate estimates. In addition, this is the first study to report the prevalence and factors associated with utilization of immediate postnatal care in Ethiopia. Nevertheless, the current study has several limitations. As the survey asked information retrospectively, this may have yielded some recall bias. Nevertheless, this bias is not considered problematic since this study included only women giving birth within five years preceding the survey. Moreover, this secondary data analysis of Ethiopian Demographic and Health Survey could not provide some variables.

Conclusion and Public Health Implication

The overall prevalence of immediate postnatal care is very low in this study. Living in rural areas, being uneducated, being lowest in wealth quintile, living in large families, not listening to the radio, and lack of information about pregnancy complications were factors affecting immediate postnatal care utilization in Ethiopia in 2016. Information dissemination should be intensified by stakeholders about immediate postnatal care utilization. The government should work to improve the socio-economic status of women. Moreover, family planning programs should work for accessible and high-quality family planning services. Finally, health extension workers should strongly enhance awareness among rural women in Ethiopia and link women with health institutions in case of postnatal complications.

Abbreviations

WHO, World Health Organization; PNC, postnatal care; CI, confidence interval; DHS, demographic and health surveys; COR, crude odds ratios; SNNPRs, Southern Nation Nationality and People Regional State; EAs, enumeration areas; CSA, Central Statistical Agency.

Data Sharing Statement

Permission to access database was obtained. Database was available at https://dhsprogram.com.

Ethics Approval and Consent to Participate

We registered and requested data from DHS on-line archive. We received an approval to download identified DHS data files.

Acknowledgments

We would like to acknowledge ‘Measure DHS’ for granting permission to use the Demographic and Health Survey data in this secondary analysis.

Author Contributions

All authors made a significant contribution to this study. They participated in study conception, design, execution, analysis, and interpretation effectively. Moreover, they took part in drafting, revising, or critically reviewing the first draft. Furthermore, they gave their approval for the final version to be published.

Funding

There was no any funding or sponsoring organization for this paper.

Disclosure

All authors declare that they had no competing interest.

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