Factors associated with the preference of institutional delivery after antenatal care attendance in Northwest Ethiopia
- 33 Downloads
Even though maternal mortality during the time of delivery can be prevented with proper medical care in the health facilities with skilled healthcare professionals, unexpectedly death is still high and is a persistent challenge for low-income countries. Therefore identifying factors affecting the preference of institutional delivery after antenatal care service attendance is a key intervention to reduce maternal morbidity and mortality.
A community-based cross-sectional study was conducted using face to face using interviewer-administered questionnaire from a total of 528 women who gave their last birth within 12 months prior to the study period who attended antenatal care (ANC) services. Descriptive statistics, bivariable and multivariable logistic regressions analysis were performed. Statistical significance was considered at p < 0.05 and odds ratio with 95% CI were calculated to examine factors associated with institutional delivery.
Of the 528 pregnant women attending ANC services, 250 (47.3%) gave birth in health facilities (95% CI: 43.2, 51.7%). Urban residence [AOR = 7.8, 95% CI: 4.1, 15.6], four or more ANC visits [AOR = 4.5, 95% CI: 1.6, 12.3], those who got health education on ANC [AOR = 2.9, 95% CI: 1.5, 5.6] and decision on place of delivery with her partner agreement [AOR = 3.3, 95% CI: 1.3, 8.7] were found to be contributing factors for the preference of institutional delivery.
Institutional delivery was not adequate. Residence, number of antenatal care visits, health education, decisions making on a place of delivery and having awareness of the difference of place of delivery were contributing factors for the preference of institutional delivery.
KeywordsInstitutional delivery ANC Lay Gayint District Northwest Ethiopia
Amhara Regional State Health Bureau
Central Statistical Agency
Ethiopian Demographic Health Survey
Institute Review Committee
Even though the global maternal mortality ratio declined by 44% from 385 deaths to 216 deaths per 100,000 live births (from 1990 to 2015), it is still a global critical challenge which didn’t show remarkable change from time to time . Woman’s lifetime risk of maternal death is 1 in 4900 in high-income countries, versus 1 in 180 in low-income countries. Low-income countries take the major share of maternal deaths (99%); of these more than half occur in sub-Saharan Africa and almost one third occur in South Asia .
If a woman dies from complications of pregnancy and childbirth or becomes ill or disabled, the whole family’s health and wellbeing are often severely affected .
Though there are many contributing factors for high maternal mortality; causes related to pregnancy and childbirth are the major one including bleeding after delivery, unsafe abortion, pregnancy-induced hypertension, a complication from delivery, long duration of labor and infections shares the highest portion for mothers to lose their life .
Institutional delivery service utilization is one of the key and recognized intervention mechanism to decrease maternal death. Timely intervention warrants safe birth, minimize complications and maternal death by increasing the survival time of both mothers and newborns; however, most deliveries in low-income countries occur at home without the assistance of skilled birth attendants [4, 5, 6] which ultimately leads to lost their life. In high-income countries, skilled attendance is about 99.5% whereas in Africa below half (46.5%)  . According to Ethiopian Demographic and Health Survey (EDHS) 2016 report, 56% of pregnant mothers who attended more than four ANC visits gave birth at health facility assisted with skilled health professionals . Regular ANC attendance is believed to guarantee healthier pregnancies and uneventful deliveries, and women who miss visits are considered at risk of poor pregnancy outcomes .
Therefore, identifying factors affecting institutional delivery after attending antenatal care is important and enables policy makers, partners, planners, and other health stakeholders to formulate appropriate strategies to increase institutional delivery rates and provide quality health care services.
Study design, period and settings
Community-based cross-sectional study was conducted to assess factors associated with the preference of institutional delivery after ANC visits in Lay Gayint district, Amhara National Regional State, northwest Ethiopia.
The district has an estimated population of 230,561. Of which 116,322(50.4%) were women; 31,511(13.7%) were urban inhabitants. Of the total female population women in a reproductive age constituted were about 54,956(47.2%) and the annual number of birth was expected to be 1852 .
Sample size determinations and sampling procedures
The sample size was determined by using single population proportion formula with Z α/2 = 1.96, proportion of institutional delivery (p = 0.316)  and d (margin of error) = 5%. The final sample size after adding 10% non-response rate and design effect of 1.5 was 548. Eight kebeles (25% from the total 29 kebeles) were selected using simple random sampling technique. Of the selected kebles two of them were urban and the rest were rural. The calculated sample size was proportionally allocated to the selected kebeles. Finally, the study participants were selected by simple random sampling technique using their list as a sample frame then they were traced using their full address obtained from the ANC clinics who delivered for the last 12 months before the study period.
Institutional delivery was operationally defined as delivery in any health facility attended by skilled attendants. Skilled professionals were operationally defined as health personnel who were able to attend and respond uncomplicated and complicated labor at the health facility.
Data collection procedures and quality control measures
Data were collected using interviewer-administered structured and pretested Amharic version 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 was comprised from socio-demographic, accessibility, behavioral and obstetric factors variables (Additional file 1: Questionnaire).
Two days training was given for data collectors and supervisors on the objective of the study, data collection procedures, data collecting tools, respondents approach, data confidentiality and respondents’ right prior to the data collection date. The completeness of the questionnaire was checked every other day by the supervisors and principal investigator.
Data were entered, edited and cleaned using Epi-info version 7 and exported to SPSS version 20 for further statistical analysis. Descriptive statistics were used to summarize the data. The Logistic regression model was done to identify factors associated with the preference of institutional delivery.
Variables found to have an association with the dependent variable less than 0.2 p-value during variable analysis were entered into multivariable binary logistic regression using backward LR method for controlling the possible effects of confounders. Finally, the variables which had significant association were identified on the bases of odds ratio (OR), with 95% CI. The goodness of fit test was also checked using Hosmer-Lemeshow, the value was 77.3%.
Ethical clearance was obtained from the Institutional Review Board (IRB) of the University of Gondar. Permission letter to carry out the study was obtained from the Amhara National Regional State Health Bureau (ARSHB) and Lay Gayint District Health Office. Informed consent was obtained from each study participants after being told the purpose and procedures of the study. All responses were kept confidential and anonymous.
Socio-demographic characteristics of mothers
Socio-demographic characteristics of respondents in Lay Gayint district, northwest Ethiopia, June 2016 (n = 528)
Age of respondents at present
Unable to read and write
Read and write
Higher (diploma & above)
Distance from health facility
< =5 km
Place of delivery, delivery attendants and reasons for preferring institutional delivery
Means of transportation to reach health facilities, obstetric characteristics of respondents and frequency of ANC visits
Obstetric characteristics of respondents in Lay Gayint district, northwest Ethiopia, June 2016 (n = 528)
Frequency of ANC visits
Two to three
Four and above
Two to four
Five and above
Two to four
Five and above
Health information and communication and behavioral characteristics of mothers
Behavioral and IEC characteristics of respondents in Lay Gayint district, northwest Ethiopia, June 2016
Source of information ANC
From health institution
From health extension workers
From relatives and friends
Attending health education during each visit
No/I don’t remember
Benefit of ANC
Both the mother and the child
For child health
For maternal health
Decision on place of delivery
Both of us
Is there a difference of giving birth at health facility instead of home?
No/ I don’t know
Factors associated with women’s institutional delivery
In this study residence, antenatal care visits, health education and decisions on a place of delivery were major contributing factors for institutional delivery at p-value < 0.05.
Urban residence mothers (AOR = 7.9, 95% CI: 4.1, 15.6) were eight times more likely to give birth at health facilities compared to rural counterparts.
Mothers who attended four and above antenatal care visit (AOR = 4.5, 95% CI: 1.6, 12.3) were four times more likely to deliver at health facility when compared to women who attended only one visit. Those who get pregnancy and delivery related information (AOR = 2.9, 95% CI: 1.5, 5.6) were three times more likely to deliver at health facilities compared to mothers who didn’t get any information during each ANC visits.
Bivariable and multivariable analysis of institutional delivery in Lay Gayint, northwest Ethiopia, June 2016 (n = 528)
Place of delivery
Distance from the nearest health facility location
< =5 km
2.24 (1.084, 4.637)
> 5 km
7.19 (4.552, 11.379)
7.87 (4.086, 15.570)
1.38 (0.735, 2.611)
1.9 (1.107, 3.261)
1.75 (1.069, 2.863)
0.98 (0.566, 1.698)
Unable to read and write
1.64 (0.834, 3.204)
Read and write
1.52 (0.997, 2.321)
5.52 (3.089, 9.850)
12.65 (3.669, 43.593)
Higher (diploma & above)
Source of information for antenatal care visit
2.15 (1.218, 3.800)
2.60 (1.444, 4.686)
6.73 (3.302, 13.716)
Friends & relatives
Benefit of ANC
1.87 (0.879, 3.960)
10.11 (4.907, 20.816)
Both the mother & child
Total number of ANC visits
5.03 (2.397, 10.540)
2.58 (0.963, 6.931)
18.62 (8.744, 39.632)
4.49 (1.636, 12.318)
2.9 (1.849, 4.558)
2.91 (1.504, 5.633)
No/I don’t know
A decision on a place of delivery
4.05 (1.654, 9.902)
3.71 (0.939, 14.672)
Both of us
5.59 (3.047, 10.257)
3.32 (1.269, 8.686)
2.6 (1.495, 4.534)
Two to four
1.21 (0.769, 1.915)
5 and above
2.54 (1.451, 4.444)
Two to four
1.71 (0.738, 1.859)
5 and above
Different findings showed that antenatal care increases the likelihood of an institutional delivery. In Ethiopia, 56% of births to mothers who attended more than four ANC visits were delivered in a health facility compared to 8% of births to mothers with no ANC visits.
In this study, 47.3% (95% CI: 43.2, 51.7%) of mothers delivered at the health facility. This finding appeared to be consistent with studies done in Urban Slum of Delhi (India) 47%  and Kenya 47% .
We found a higher proportion of facility delivery when compared to studies done in Ethiopian Munisa 12.3% , Cheha 31%  and Southwest Shoa Zone 28.6% . The probable reasons for this might be, currently the government of Ethiopia is applying consistently free ANC, delivery and ambulance services at national levels in all health facilities which promote mother to seek healthcare services . Eventually, these freely available services would boost the likelihood of women prefer to give birth at health institutions.
However, this finding was lower than studies done in Nigeria 60% , Ghana 79% , rural Chitwan (Nepal) 55%  and in Ethiopia, such as Bahir Dar town 78.8%  and Debre Markos Town 80.14% . The possible justifications for this might be due to; better access of health facility with improved health infrastructure, quality health services, having better educational status, better media exposure to access health information, easy access of transportation which enforces pregnant mothers to give birth at health facilities.
The multivariable analysis identified different factors that influence the preference of institutional delivery. The odds of women from the urban residence were 7.87 times more likely to give birth at health institutions when compared to rural residences. This finding appeared to be similar with studies done in Ethiopia districts such as Wolisso, Wonchi and Goro  and other study done in Ghana as well . The possible explanation for this might be due to; urban women might have got better information access regarding the importance of facility delivery and healthcare service with senior health care professionals (nurses, midwives and general practitioners) when compared to rural kebele women. In addition, the media exposure promoting good health services have been widely available in urban areas than rural residents which might influence the mother to escape out from outdated practices.
The number of antenatal care visits had also a significant statistical association with the preference of institutional delivery. Women who had four and above ANC visit were 4.5 times more likely to give birth at health facility when compared to those who attended only one visit. This finding is consistent with other studies done in different areas of Ethiopia districts such as Fogera , Sekela , Akansha Guagusa  and abroad in Tanzania . This may be due to; better number of contact with the skilled provider during pregnancies gave chance for the women to acquire more information about the danger sign during pregnancy and the importance of facility delivery.
The odds of mothers who received any ANC services and delivery related health education were 2.91 times more likely to give birth at health institution when compared to those who didn’t receive any. These finding is consistent with studies done in northern Bangladesh  and Biharamulo district Tanzania . The possible reason for this might be due to the fact that; getting more information during their ANC visits will help them to identify danger signs of pregnancy and its bad consequence when giving birth took place at home without skilled professionals which in turn them to prefer health facility delivery.
Decision made jointly by the mother and her husband on a place of delivery had also the significant statistical association with institutional delivery. Mothers who decided their place of delivery together with their husband were 3.32 times more likely to give birth at health facility when compared to the decision made by the mother only. This finding is similar to other studies conducted in Debre Markos Town (Ethiopia)  and Biharamulo district (Tanzania) . The possible explanation for this might be; when communication is made between the wife and her partner, in fact, they will reach a successful agreement and ultimately made the right decision. In most African countries husbands share a higher percentage level of place of delivery i.e. husband’s explicit support for institutional delivery influences the chances of a child being born at a health facility.
Finally, respondents’ with educational level, the benefit of antenatal care visit, parity, gravidity, age, source of information for antenatal care and distance from the nearest health facility were not significantly associated with institutional delivery in the multivariable analysis.
Institutional delivery in an appropriate setting is a life-saving method that can also help mothers to reduce the risk of complications which may cause death or illness. Due to the cross-sectional nature the study, there are some limitations like difficult to avoid recall bias, identifying the cause-effect relationship and exploring behavioral determinants clearly. Therefore, conducting research using qualitative design might be appropriate to explore behavioral factors.
In conclusion, preference of institutional delivery assisted by health care professionals even after attending antenatal care was low. The study also identified factors such as residence, number of antenatal care visits, health education, decisions making on a place of delivery and having awareness of the difference of place of delivery were significantly associated with preference of institutional delivery. Therefore, empowering women, awareness creation, promoting uptake of antenatal care visits and providing consistent free ambulance services are recommended interventions to increase the preference of institutional delivery.
The authors are very grateful to the College of Medicine and Health Sciences, University of Gondar. Our thanks would also be extended to Amhara Regional State Health Bureau for their financial support. The authors extend their appreciation to the study participants, supervisors and data collectors.
Consent to publication
AM; the corresponding author designed the study, participated in the data quality control, analyzed the data and drafted the manuscript. KA assisted with the design, approved the draft manuscript, and revised drafts of the manuscript. Both authors read and approved the manuscript.
Amhara Regional Health Bureau funded the study. The funding body has no any role in the design of the study and collection, analysis, interpretation of the data, in writing the manuscript and publication as well.
Ethics approval and consent to participate
Ethical clearance was obtained from University of Gondar Institution Review Board (IRB) and written informed consent was held to each study participants. In addition, the benefits and risks of the study were informed.
The authors declare that they have no competing interests.
- 1.UNICEF. Maternal mortality fell by almost half between 1990 and 2015: UNICEF Data. Geneva: Monitoring the Situation of Children and Women; 2016.Google Scholar
- 2.Panel AP. Maternal health. Geneva: Investing in the Lifeline of Healthy Societies and Economies Policy Brief, Africa Progress Panel; 2010.Google Scholar
- 3.Organization WH. Trends in maternal mortality: 1990–2015: estimates from WHO, UNICEF, UNFPA, World Bank Group and the United Nations population division: executive summary: World Health Organization; 2015.Google Scholar
- 7.Van Lerberghe W. The world health report 2008: primary health care: now more than ever: World Health Organization; 2008.Google Scholar
- 8.Central Statistical Agency. Ethiopia demographic and health survey 2016. Addis Ababa: Ethiopia central statistical agency, ICF; 2017.Google Scholar
- 10.CSA. The 2007 Population and Housing Census of Ethiopia. Addis Ababa: Statistical_Amhara_PartI; 2007.Google Scholar
- 18.Envuladu EA, Agbo HA, Lassa S, Kigbu JH, Zoakah A. Factors determining the choice of a place of delivery among pregnant women in Russia village of Jos North, Nigeria: achieving the MDGs 4 and 5. Int J MedBiomed Res. 2013;2(1):23.Google Scholar
- 19.Esena RK, Sappor M. Factors associated with the Utilization of skilled delivery services in the Ga East Municipality of Ghana Part 2: Barriers to skilled delivery. Int J Sci Technol Res. 2013;2(8):195.Google Scholar
- 23.Teferra AS, Alemu FM, Woldeyohannes SM. Institutional delivery service utilization and associated factors among mothers who gave birth in the last 12 months in Sekela District, North West of Ethiopia: A community - based cross sectional study. BMC Pregnancy Childbirth. 2012;12:74.CrossRefGoogle Scholar
- 24.Alemayehu M, Mekonnen W. The prevalence of skilled birth attendant utilization and its correlates in north West Ethiopia. Biomed Res Int. 2015;2015:1.Google Scholar
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.