Volume 2022, Issue 1 1415247
Research Article
Open Access

The Magnitude of Optimal Antenatal Care Utilization and Its Associated Factors among Pregnant Women in South Gondar Zone, Northwest Ethiopia: A Cross-Sectional Study

Alebachew Taye Belay

Corresponding Author

Alebachew Taye Belay

Department of Statistics, College of Natural and Computational Science, Debre Tabor University, Ethiopia dtu.edu.et

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Setegn Muche Fenta

Setegn Muche Fenta

Department of Statistics, College of Natural and Computational Science, Debre Tabor University, Ethiopia dtu.edu.et

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Hailegebrael Birhan Biresaw

Hailegebrael Birhan Biresaw

Department of Statistics, College of Natural and Computational Science, Debre Tabor University, Ethiopia dtu.edu.et

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Yikeber Abebaw Moyehodie

Yikeber Abebaw Moyehodie

Department of Statistics, College of Natural and Computational Science, Debre Tabor University, Ethiopia dtu.edu.et

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Mequanint Melkam Yelam

Mequanint Melkam Yelam

Department of Statistics, College of Natural and Computational Science, Debre Tabor University, Ethiopia dtu.edu.et

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Maru Mekie

Maru Mekie

Department of Midwifery, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia dtu.edu.et

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First published: 02 September 2022
Citations: 3
Academic Editor: Shoulong Deng

Abstract

Background. Adequate antenatal care is essential for the health of the mother and the development of the fetus. The World Health Organization recommends at least four antenatal care (ANC) visits during pregnancy. In Ethiopia, only 32% of women of childbearing age attend four or more ANC visits. This figure is significantly lower than the average for least developed countries. This study is aimed at calculating the magnitude and identifying the factors associated with optimal antenatal care utilization in the South Gondar Zone, Northwest Ethiopia. Methods. A community-based cross-sectional study was conducted in the South Gondar Zone of Northwest Ethiopia from September 2020 to May 2021. A total of 434 participants were selected using multistage cluster sampling. Data were gathered through face-to-face interviews using a structured questionnaire. A multivariate binary logistic regression model was used to determine the factors associated with the optimal use of antenatal care. Result. The magnitude of optimal antenatal care utilization was 59% (95% CI; 54.20, 63.65). The study showed that mothers who completed their secondary school (AOR = 8.205; 95% CI: 3.406, 19.767), women who completed their tertiary school (AOR = 6.406; 95% CI: 2.229, 18.416), women whose husbands’ level of education is secondary school (AOR = 5.967; 95% CI: 2.753, 12.936), those with a planned pregnancy (AOR = 1.912; 95% CI: 1.117, 3.271), those with a wanted pregnancy (AOR = 2.341; 95% CI: 1.366, 4.009), women whose husbands work in the government or nongovernment sector (AOR = 3.736; 95% CI: 2.093, 6.669), those not being exposed to the media (AOR = 0.520; 95% CI: 0.345, 0.783), and rural women (AOR = 0.267; 95% CI: 0.164, 0.435) were significantly associated with optimal ANC utilization. Conclusion. The findings suggest that more emphasis should be placed on education-based programs for women and their husbands that highlight the benefits of a planned pregnancy, desired pregnancy, and maternal health care. Meanwhile, the government and other concerned bodies should focus on expanding road accessibility, health institutions, and ambulance distribution to improve optimal ANC utilization in the area.

1. Introduction

The antenatal care (ANC) services provide an opportunity to prevent and manage existing and potential causes of maternal and newborn mortality and morbidity [1]. Antenatal care is supplied with the aid of talented healthcare providers to pregnant women and juvenile women to ensure the maximum extremely good well-being situations for each mother and baby throughout pregnancy [1]. In the past, the World Health Organization (WHO) has promoted 4 antenatal visits for single pregnancies. The first occurred in the 12 weeks following the age of gestation [2]. Antenatal care remains a major public health concern for the prevention of maternal and neonatal mortality worldwide by increasing the chances of access to vital obstetrics [3].

The high maternal mortality rate in certain parts of the world reflects unequal access to health services. Almost all causes of maternal mortality (99%) take place in the developing world. Over half of these deaths occur in sub-Saharan Africa and nearly one-third in South Asia [46].

The global reports in 2017 showed that only three in five women attended at least four antenatal visits. In regions with the highest rates of maternal mortality, such as sub-Saharan Africa, only 52% of women received at least four ANC visits [7]. The proportion of women with four or more ANC visits is considerably lower than the global average of 61.8% [2]. The prevalence of attending at least four or more ANC visits in 12 East African countries was 52.44% with the highest attending at least four or more ANC visits in Zimbabwe (75.72%) and the lowest attending at least four or more ANC visits in Ethiopia (31.82%) in 2012-2019 [2]. In the Ethiopian Demographic and Health Survey of women, 31.8% in 2016 [3, 8] and 43.11% in 2019 [4] received four or more checkups.

Most studies identified that the factors of antenatal care such as women’s education [5, 6, 9], husband’s occupation [6], socioeconomic status [5], place of residence [5, 10], understaffed health facilities [11], and distant ANC facilities [11, 12] were significantly associated with the use of antenatal care services.

The well-timed ANC usage can possibly save women from the direct causes of maternal and neonatal deaths associated with obstetric difficulty and might alleviate the consequences of pregnancy complications [13]. The enforcing and assuring usage of powerful maternity care of women in the growing international community is not a simple task [1417]. In Ethiopia, the developments in maternal health care provide users with antenatal care, of which most of the women did not attend the minimal number of visits recommended by the World Health Organization [9, 1820]. Most of the preceding research performed in Ethiopia meditated the low use of antenatal care in towns and cities [16, 19, 20]. Hence, this study is aimed at evaluating the coverage and risk factors of optimal antenatal care usage in the South Gondar Zone in Northwest Ethiopia.

2. Methodology

2.1. Study Setting, Data Source, and Study Design

This community-based cross-sectional study was conducted in the South Gondar Zone from September 2020 to May 2021. South Gondar is one of the zones found in the Amhara region and its capital city is Debre Tabor, which is located 666 km from Addis Ababa, the capital city of Ethiopia. According to the 2007 Ethiopian Central Statistical Agency Census, this area has a total population of 2,051,738, including 1,041,061 men and 1,010,677 women. Within this area, 468,238 households were enumerated, giving an average of 4.38 persons per household.

2.2. Population and Eligibility Criteria of the Study

All women aged 15 to 49 years who had at least one birth in the South Gondar Zone were considered source populations. All women in the reproductive age group who had at least one birth in the previous 1–2 years before this study were randomly selected, except the women who were not permanent residents in the study region.

2.3. Sample Size and Sampling

The two-stage random cluster sampling technique was used to select the sample. In the first step, a sample of three (3) districts, namely, Laygayint, Farta, and Fogera, was selected independently within the zone. In the second phase, a sample of four kebeles (enumeration areas) was selected independently in each selected district. Finally, the calculated sample size was proportionally allocated to the kebele group based on the identified number of eligible mothers. Mothers in each of the kebeles were randomly selected using a simple random sampling technique.

The sample size was calculated using single population proportion formula with the assumption: 95% confidence interval, 4.2% margin of error, 10% estimated nonresponse rate, and taking 23.13% proportion of optimal ANC utilization in Southern Ethiopia [21] then, the required sample size was 434.

2.4. Data Collection Procedures and Quality Control Measures

Data were collected using an interviewer-administered structured and pretested Amharic version of the questionnaire. The questionnaire was first developed in English and then translated to the Amharic language for appropriateness in approaching the study participants and then translated back to English by language experts to check its consistency. The questionnaire comprised sociodemographic, accessibility, behavioral, and obstetric variables. The training was given to data collectors and supervisors on the objective of the study, data collection procedures, data collecting tools, respondent’s approach, data confidentiality, and respondents’ right before the data collection date. The completeness of the questionnaire was checked every other day by the supervisors and investigators.

2.5. Variables of the Study

2.5.1. Dependent Variable

The indicators that reflect maternal health services are antenatal visits during pregnancy (ANC). Therefore, the response variables are built from the questions included in the study questionnaire on antenatal care visits during pregnancy (ANC). The ANC was defined as adequate if the woman with a normal pregnancy had at least four antenatal visits and more than four in case of complications; otherwise, it was defined as inadequate.

2.5.2. Explanatory Variable

The explanatory variable which may affect adequate antenatal care visits were age, religion, education level of women, occupation of women, education level of husband, husband’s occupation, family size, monthly income, own mobile telephone, the decision of maternal care service utilization, access to mass media, residence, and marital status.

2.5.3. Data Analysis Procedure

The data consistency and treating missing value exist in the dataset; data editing was conducted to check; data labeling, recoding, and exploratory analyses were performed using SPSS version 25 statistical software. The data were analyzed with statistical software R version 4.0.3. Descriptive statistics were used to submit data by the frequency with percentages in tabular form. A multivariate binary logistic regression model was used to determine factors associated with the optimum use of maternal health care. The result of the multivariable binary logistic regression model was reported in terms of the odds ratio adjusted to a 95% CI. All variables with a p value of 0.05 were found to be statistically significant.

2.5.4. Ethics

The study focused specifically on women living in the South Gondar Zone that had at least one birth and aimed to get an insight into factors associated with optimal antenatal care utilization. Informed consent from the participants was acquired by the recruiting team. The recruiting team consisted of the caregivers to the women and the research assistants. Ethical approval was obtained from a research and Ethical Review Board committee of the College of Natural and Computational Sciences of Debre Tabor University, Ethiopia, with a code number of DTU/CNCS/855/21.

3. Results

3.1. Sociodemographic Characteristics of the Study Participants

A total of 434 mothers have participated in the study with a response. The average age of respondents was 33.63 years, with a standard variance of 7.19. About 188 (43.3%) of the respondents were in the age group of greater than 34 years. The majority of respondents 390 (89.9%) were Orthodox and married. Regarding educational status, 194 (44.7%) mothers and 155 (35.7%) respondents’ husbands were unable to read and write. Regarding occupation, 157 (36.2%) mothers and 228 (52.5%) respondents’ husbands were farmers. More than half, 252 (58.1%) of the respondents, were rural residents (Table 1).

1. Sociodemographic characteristics of respondents in South Gondar Zone.
Variable Categories Frequency (%)
Age of respondents <25 48 (11.1)
25–29 91 (21.0)
30–34 107 (24.7)
>34 188 (43.3)
  
Respondent religion Orthodox 390 (89.9)
Muslim 37 (8.5)
Others 7 (1.6)
  
Education level of respondent Illiterate 194 (44.7)
Only read and write (no formal education) 35 (8.1)
Primary educated (grades 1-8) 85 (19.6)
Secondary school (grades 9-12) 49 (11.3)
Tertiary level 71 (16.4)
  
Respondent occupation Housewife 152 (35.0)
Farmer 157 (36.2)
Governmental or nongovernmental employee 62 (14.3)
Merchant 55 (12.7)
Daily laborer 8 (1.8)
  
Education level of husband Illiterate 155 (35.7)
Only read and write (no formal education) 57 (13.1)
Primary educated (grades 1-8) 75 (17.3)
Secondary school (grades 9-12) 60 (13.8)
Tertiary level 87 (20.0)
  
Husband’s occupation Farmer 228 (52.5)
Governmental or nongovernmental employee 100 (23.0)
Merchant 81 (18.7)
Daily laborer 25 (5.8)
  
Family size 2–4 175 (40.3)
5–7 188 (43.3)
8 and above 71 (16.4)
  
Monthly income ≤1000 63 (14.5)
1001–2500 124 (28.6)
2501–5000 177 (40.8)
5001 and above 70 (16.1)
  
Owns mobile telephone No 209 (48.2)
Yes 225 (51.8)
  
The decision of maternal care service utilization Husband 14 (3.2)
Wife 90 (20.7)
Both 330 (76.0)
  
Access to mass media Exposed to mass media 190 (43.8)
Not exposed to mass media 244 (56.2)
  
Residence Urban 182 (41.9)
Rural 252 (58.1)
  
Marital status Married 390 (89.9)
Divorced 24 (5.5)
Windowed 14 (3.2)
Single 6 (1.4)

3.2. Obstetric-Related Characteristics of the Study Participants

Approximately three-quarters, 321 (74%) of women, had their first pregnancy after the age of 19. Most, 369 (85.0%) of pregnancies, were wanted and planned. More than half of the 241 respondents (55.5%) had fewer than four children alive, while 193 (44.5%) reported having more than three children alive. About a quarter, 197 (45.4%) of the people interviewed, had their first pregnancies. Approximately 79 (18.2%) of the women had a history of abortion and sixty-eight (15.7%) of the respondents had a history of neonatal death. Nearly half, 205 (47.2%) of the respondents, were married between the age of 20 and 24 years (Table 2).

2. Obstetric characteristics of respondents in the South Gondar Zone.
Variable Categories Frequency Percentage
Birth order First 81 18.7
2–3 156 35.9
4 and above 197 45.4
  
Counseling about maternal health care No 90 20.7
Yes 344 79.3
  
Size of child at birth Small 111 25.6
Average 240 55.3
Large 83 19.1
  
Maternal health insurance No 162 37.3
Yes 272 62.7
  
Health provider behavior Good 364 83.9
Poor 70 16.1
  
Postdelivery shelter No 42 9.7
Yes 392 90.3
  
The health facility in kebele No 61 14.1
Yes 373 85.9
  
Nearest health institution Health center 387 89.2
Privet clinic 14 3.2
Hospital 33 7.6
  
Duty service of maternal health care No 172 39.6
Yes 262 60.4
  
Transportation On foot 293 67.5
By car 141 32.5
  
Number of living children 1–3 241 55.5
4 and above 193 44.5
  
Experienced child death No 325 74.9
Yes 109 25.1
  
Road access to the HF No 235 54.1
Yes 199 45.9
  
Place of the previous delivery Home 187 43.1
Health institution 247 56.9
  
Faced any health problem in the last pregnancy No 279 64.3
Yes 155 35.7
  
Planned pregnancy No 65 15.0
Yes 369 85.0
  
Wanted pregnancy No 65 15.0
Yes 369 85.0
  
Experienced death of neonate aged less than seven days No 366 84.3
Yes 68 15.7
  
History of abortion No 355 81.8
Yes 79 18.2
  
Age at first pregnancy <20 113 26.0
≥20 321 74.0
  
Age at first marriage Less than 15 57 13.1
15–19 146 33.6
20–24 205 47.2
≥25 26 6.0
  
The time taken to get to the nearest health facility Below 1 hour 243 56.0
1–2 hours 162 37.3
Above 2 hours 29 6.7

3.3. Prevalence of Maternal Health Care in South Gondar Zone

The prevalence of mothers’ health care use is presented in Table 1. A total of 434 women participated in the study. The magnitude of ANC service utilization was 59% (95% CI; 54.20, 63.65) (Table 3).

3. The prevalence of maternal health care in the South Gondar Zone.
Maternal health care Categories Frequency Percentage
ANC Less than four 178 41.0
Four and above 256 59.0

3.4. Factors Associated with Four or More ANC Service Visits

The results of bivariate and multivariable binary logistic regression analyses were summarized in Table 4. The model revealed that maternal education, maternal occupation, husband’s education, husband’s occupation, media exposure, time taken to get the nearest health facility, planned pregnancy, wanted pregnancy, health profession preferred by women, source of information about maternal care, media exposure, place of residence, residence, duty service of maternal health care, number of living children, and road accessibility to the nearest health facility, health provider behavior, presence of health facility in kebele, transportation, and family size were significantly associated with four or more antenatal care visits.

4. Factors associated with four or more antenatal care (ANC) visits in the South Gondar Zone.
Variable Four and above ANC COR (95% CI) AOR (95% CI)
No (%) Yes (%)
Education level of respondent
Illiterate 124 (69.7) 70 (27.3) 1 1
Only read and write (no formal education) 21 (11.8) 14 (5.5) 1.181 (0.565, 2.468)  1.282 (0.582, 2.826) 
Primary educated (grade1-8) 10 (5.6) 75 (29.3) 13.286 (6.454, 27.348)  12.431 (5.739, 26.929) 
Secondary school (grade 9-12) 11 (6.2) 38 (14.8) 6.119 (2.942, 12.727)  8.205 (3.406,19.767) 
Tertiary level 12 (6.7) 59 (23.0) 8.710 (4.384, 17.301)  6.406 (2.229,18.416) 
Education level of husband’s
Illiterate 91 (51.1) 64 (25.0) 1 1
Only read and write (no formal education) 32 (18.0) 25 (9.8) 1.111 (0.602, 2.051)  1.080 (0.583, 2.001) 
Primary educated (grades 1-8) 26 (14.6) 49 (19.1) 2.680 (1.511, 4.753)  2.309 (1.272, 4.193) 
Secondary school (grades 9-12) 10 (5.6) 50 (19.5) 7.109 (3.357, 15.058)  5.967 (2.753, 12.936) 
Tertiary level 19 (10.7) 68 (26.6) 5.089 (2.791, 9.279)  4.056 (2.117, 7.769) 
Husband’s occupation
Farmer 131 (73.6) 97 (37.9) 1 1
Governmental or nongovernmental employee 22 (12.4) 78 (30.5) 4.788 (2.787,8.226)  3.736 (2.093, 6.669) 
Merchant 19 (10.7) 62 (24.2) 4.407 (2.475,7.848)  4.009 (2.235, 7.192) 
Daily laborer 6 (3.4) 19 (7.4) 4.277 (1.646,11.110)  3.221 (1.202, 8.630) 
Mass media exposure
Exposed to mass media 58 (32.6) 132 (51.6) 1 1
Not exposed to mass media 120 (67.4) 124 (48.4) 0.454 (0.305, 0.676)  0.520 (0.345, 0.783) 
Time taken to get the nearest HF
Below 1 hour 75 (42.1) 168 (65.6) 1 1
1–2 hours 85 (47.8) 77 (30.1) 0.404 (0.268, 0.610)  0.494 (0.312, 0.780) 
Above 2 hours 18 (10.1) 11 (4.3) 0.273 (0.123, 0.606)  0.332 (0.146, 0.757) 
Planned pregnancy
Yes 142 (79.8) 227 (88.7) 1.984 (1.166, 3.379)  1.912 (1.117, 3.271) 
No 36 (20.2) 29 (11.3) 1 1
Wanted pregnancy
Yes 140 (78.7) 229 (89.5) 2.302 (1.347, 3.936)  2.341 (1.366, 4.009) 
No 38 (21.3) 27 (10.5) 1 1
The decision of maternal care service utilization
Husband 10 (5.6) 4 (1.6) 1 1
Wife 40 (22.5) 50 (19.5) 3.125 (0.912, 10.711)  2.516 (0.716, 8.844) 
Both 128 (71.9) 202 (78.9) 3.945 (1.212, 12.846)  3.517 (1.058, 11.687) 
Health profession preferred by women
Yes 35 (19.7) 98 (38.3) 2.534 (1.620, 3.964)  2.192 (1.371, 3.507) 
No 143 (80.3) 158 (61.7) 1 1
Source of information about maternal care
Health institution by health care workers 60 (33.7) 164 (64.1) 1 1
Health extension workers 75 (42.1) 52 (20.3) 0.254 (0.160, 0.402)  0.266 (0.167, 0.425) 
Radio/television 12 (6.7) 24 (9.4) 0.732 (0.344, 1.554) 0.744 (0.347, 1.596)
Relatives and friends 31 (17.4) 16 (6.2) 0.189 (0.096, 0.370)  0.214 (0.109, 0.424) 
Owns mobile telephone
Yes 54 (30.3) 171 (66.8) 4.620 (3.060, 6.975)  5.087 (3.286, 7.875) 
No 124 (69.7) 85 (33.2) 1 1
Residence
Urban 40 (22.5) 142 (55.5) 1 1
Rural 138 (77.5) 114 (44.5) 0.233 (0.151, 0.358)  0.267 (0.164, 0.435) 
Road access to the HF
Yes 60 (33.7) 139 (54.3) 2.336 (1.572, 3.473)  1.919 (1.270, 2.900) 
No 118 (66.3) 117 (45.7) 1 1
Health provider behavior
Good 133 (74.7) 231 (90.2) 1 1
Poor 45 (25.3) 25 (9.8) 0.320 (0.188, 0.545)  0.374 (0.213, 0.656) 
The health facility in kebele
Yes 137 (77.0) 236 (92.2) 3.531 (1.988, 6.273)  3.663 (2.053, 6.538) 
No 41 (23.0) 20 (7.8) 1 1
Duty service of maternal health care
Yes 78 (43.8) 184 (71.9) 3.276 (2.191, 4.899)  3.101 (2.050, 4.689) 
No 100 (56.2) 72 (28.1) 1 1
Family size
2–4 42 (23.6) 133 (52.0) 1 1
5–7 95 (53.4) 93 (36.3) 0.309 (0.197, 0.485)  0.297 (0.187, 0.471) 
8 and above 41 (23.0) 30 (11.7) 0.231 (0.129, 0.415)  0.204 (0.112, 0.375) 
Number of living children
1–3 71 (39.9) 170 (66.4) 1 1
4 and above 107 (60.1) 86 (33.6) 0.336 (0.226, 0.499)  0.366 (0.236, 0.567) 
  • 1: reference category;  significance at 5% of the level of significance.

The results of this study showed that education had a positive association with 4 and more ANC service uptake, meaning that the amount of ANC service uptake increased as the woman’s and husband’s education levels increased. Women who had primary educational status were 12.431 (AOR = 12.431; 95% CI: 5.739, 26.929) times more likely to receive four and more antenatal care visits when compared to illiterate women. Women who have attended secondary and tertiary level education were 8.205 (AOR = 8.205; 95% CI: 3.406, 19.767) and 6.406 (AOR = 6.406; 95% CI: 2.229, 18.416) times more likely to receive four and more antenatal care as compared to illiterate women, respectively.

Women who had planned and wanted pregnancies were more likely to use four or more ANC services than women who had unplanned or unwanted pregnancies. When compared to women who had an unplanned pregnancy, women who had a planned pregnancy were 1.912 (AOR = 1.912; 95% CI: 1.117, 3.271) times more likely to use four or more prenatal visits. Additionally, When compared to pregnant women who had an unwanted pregnancy, those who had a wanted pregnancy were 2.341 (AOR = 2.341; 95% CI: 1.366, 4.009) times more likely to use four or more prenatal care visits.

Four or more ANC service uptakes for husbands with primary education were 2.309 (AOR = 2.309; 95% CI: 1.272, 4.193) times higher compared with illiterate husbands. Similarly, four and above ANC service uptakes for husbands with secondary education were 5.967 (AOR = 5.967; 95% CI: 2.753, 12.936) times higher compared with illiterate husbands. Women who lived in urban areas were more likely to use four or more ANC services than women who lived in rural areas. Four and above ANC service uptakes of the rural women were 0.267 (AOR = 0.267; 95% CI: 0.164, 0.435) times lower compared with urban women.

Women whose husbands worked for the government or nongovernment sector were 3.736 (AOR = 3.736; 95% CI: 2.093, 6.669) times more likely to receive four or more ANC service uptakes than women whose husbands worked as farmers. Media exposure was linked to the use of four or more ANC services. Women who were exposed to the media were more likely to use four and more ANC services than women who were not exposed to the media. Women who did not have access to the media were 0.520 (AOR = 0.520; 95% CI: 0.345, 0.783) times less likely to attend four ANCs than those who did. Finally, women who had to travel more than two hours to reach the nearest health facility were 0.332 (AOR = 0.332; 95 percent CI: 0.146, 0.757) less likely to receive four or more ANC services than their counterparts (Table 3).

4. Discussion

This study assessed the risk factors of coverage and associated risk factors of optimal antenatal care utilization in the South Gondar Zone. The study illustrated that the proportion of optimal antenatal care utilization was found to be 59.0%. This antenatal care utilization is lower than 60.2% in the Indonesia Demographic and Health Survey 2017 [22]. However, this antenatal care utilization is higher than 30% in the Bangladesh Demographic and Health Survey 2014 [23], 58.53% in Sub-Saharan Africa from 2006 to 2018 [24], 35.3% in Debre Tabor Town, Northwest Ethiopia, 2017 [25], 46% in Rwanda, 2014 [26], 58% in Nigeria using the 2018 Nigeria Demographic Health Survey [27], and 52% in Tharaka Nithi County, Kenya, 2016 [28].

The educational level of women was the factor to receive four and above antenatal care visits. This finding was consistent with the study conducted in Amhara regional states, Ethiopia [29], Ethiopia [30], and Vietnam [31]. It showed that the increased educational level increases women’s received optimal ANC visits. Furthermore, the husband’s education is also a factor of women who use ANC visits. Similar findings were reported in studies conducted in Ethiopia [32]. Most women in the South Gondar Zone are socioeconomically dependent on male partners who make household decisions, and this has an impact on maternal health care utilization [32]. It is because educated mothers are thought to be more aware of the importance and availability of ANC services and more likely to use them. Education provides women with the opportunity to be empowered for more confident and capable decisions to use modern health care services for themselves and their children. Furthermore, it increases women’s knowledge on where and how the best health care can be accessed and enhances women’s capability of making autonomous decisions [33].

Women who had planned and wanted pregnancies were more likely to use four or more ANC services compared to women who had unplanned or unintended pregnancies. This finding is consistent with studies done in East African Countries [34]. This may be because mothers who plan to have a child want to have a safe pregnancy and therefore pay special attention to their prenatal care. Additionally, the wanted pregnancy of women has increased the use of ANC visits. This finding is consistent with studies done in Ethiopia. This could be because mothers who want to have a child want a healthy pregnancy and hence pay special attention to their antenatal care.

Place of residence was a factor of women to use four or more ANC services. This result was consistent with those of studies in Ethiopia [25]. Women who live in an urban area may have easier access to material resources (such as money, automobiles, or motorcycles) that can make ANC services more accessible. This could be attributed to the fact that urban women are more inclined than rural women to use various media, information, and written papers, as well as have more understanding about their health. Another factor might be that you are too worried about other hobbies, your family, and your self-image or you do not have access to enough health care.

Women who were exposed to the media were more likely to use four and more ANC services than women who were not exposed to the media. This finding is similar to studies conducted in Ethiopia [30], Vietnam [31], and Tanzania [35]. Access to the media may have resulted in the more frequent use of ANC visits because the media may have offered relevant health promotion messages, such as the advantages of ANC and information on the danger signs of probable pregnancy problems [35]. Women who had to travel more than two hours to reach the nearest health facility were less likely to use the recommended four ANC visits. This finding is consistent with studies conducted in Ethiopia [32]. These findings revealed that enhancing access to and distribution of health care, especially in rural areas, should be a primary priority [32]. The proportion of women who had the recommended four ANC visits was lowest among women who had four or more births. This is in line with other studies conducted in Nigeria [27].

The occupation of husbands (work in the governmental or nongovernmental sector) had a significant impact on women to use four or more ANC services in the study area. It is known that most women are socioeconomically dependent on male partners who are decision-makers in households, and this influences maternal health care services utilization in Ethiopia [36]. This study contradicts the previous study in Ari Woreda, South Omo Zone, Ethiopia [37], which states that occupation had no significant effect with optimal ANC visit.

The time needed to get to the nearest HF was an important factor for women to use four or more ANC services in this study. This study was in line with the previous study [11, 12], which shows that increased distance to a health facility decreased ANC services. This might be the distance to a health facility or time taken to get to the nearest HF that decreases the chance of getting health services due to less access to the transportation system and low economy for payment for transportation. In addition, the optimal use of antenatal care in this study had a significant impact on road access to HFs. In fact, the cost of transport and the type of transport depend on the availability of the road as it increases optimal use of antenatal care.

This study identified the behavior of health care providers as an important factor in optimal maternal use of antenatal care. This is because health care workers who had good behavior initiate mothers who use ANC visits and may give further explanation about the importance of optimal antenatal care utilization for mothers. The study showed that the number of live children from mothers was significantly related to optimal use of antenatal care. This might be because as the number of children increases, the mothers’ want for pregnancy decreases—which leads to a decrease in the use of ANC visits. Similarly, family size in the household reduces the optimal use of the mother’s antenatal care in this study. Because the large size of the family leads to a low economic level, an undesired pregnancy leads to low optimal use of maternal prenatal care.

5. Conclusion and Recommendations

The purpose of this study was to find out what factors influence optimal maternal antenatal care utilization in the South Gondar Zone, such as socioeconomic, demographic, health, and environmental factors. The result of this study showed that the magnitude of ANC services was 59%. When compared to the national average, this figure was extremely low. The study found that maternal education, maternal occupation, husband’s education, husband’s occupation, media exposure, time taken to get the nearest health facility, planned pregnancy, wanted pregnancy, health profession preferred by women, source of information about maternal care, media exposure, residence, and road accessibility to the nearest health facility was significantly associated with optimal maternal antenatal care utilization.

Ensuring the continuity of maternal optimal antenatal care utilization in the area, the government’s efforts to establish a functional referral system through the distribution of ambulances to districts and the free maternal care policy should be maintained and strengthened as well as expanding educational programs aimed at educating mothers and their husbands on the benefits of a planned pregnancy, wanted pregnancy, and maternal health care and transportation problem and costs require long-term solutions for rural areas.

Abbreviations

  • ANC:
  • Antenatal care
  • AOR:
  • Adjusted odds ratio
  • CI:
  • Confidence interval
  • COR:
  • Crude odds ratio
  • DHS:
  • Demographic and Health Survey
  • HF:
  • Health facility
  • SPSS:
  • Statistical Package for Social Science
  • WHO:
  • World Health Organization.
  • Ethical Approval

    Ethical approval was obtained from a research and ethical approval committee of the College of Natural and Computational Sciences of Debre Tabor University, Ethiopia, with a code number of DTU/CNCS/855/21.

    Conflicts of Interest

    The authors declare that they have no competing interests.

    Authors’ Contributions

    ATB and SMF conceived the study and contributed to study design and led the coordination fieldwork for the study implementation and data analysis. HB, YA, and MM were part of the team that conceived the study and also contributed to the study design. MM contributed to conceiving the study and reviewed the study variables and their consistency. All authors contributed to the development of the study protocol and reviewed the study. All authors read and approved the final manuscript.

    Acknowledgments

    We wish to thank both the South Gondar Zone and Debre Tabor University for their support and encouragement. We are also pleased to recognize the contribution of participants in the study as we collected data.

      Data Availability

      The data used to support the findings of this study are available from the corresponding author upon request.

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