Home | Volume 35 | Article number 28

Research

Poor prenatal service utilization and pregnancy outcome in a tertiary health facility in Southwest Nigeria

Poor prenatal service utilization and pregnancy outcome in a tertiary health facility in Southwest Nigeria

Jacob Olumuyiwa Awoleke1,&, Babatunde Ajayi Olofinbiyi1

 

1Department of Obstetrics and Gynaecology, Ekiti State University, Ado-Ekiti, Nigeria

 

 

&Corresponding author
Jacob Olumuyiwa Awoleke, Department of Obstetrics and Gynaecology, Ekiti State University, Ado-Ekiti, Nigeria

 

 

Abstract

Introduction: poor prenatal service utilization is common in developing countries. However, the predictors and pregnancy outcomes of poor utilizers have not been fully examined in our setting.

 

Methods: poor and good prenatal service utilizers were compared with respect to demographic characteristics and pregnancy outcomes in Ado-Ekiti, Nigeria.

 

Results: poor utilizers were significantly more likely to be single mothers, with unemployed husbands/partners, but less likely to have labour induction compared with good utilizers. Also, the women with fewer than four antenatal visits had significantly more babies with low birth weight (18% versus 9.8%, p = 0.003), and 5-minute Apgar scores less than 7 (17.9% versus 10.1%, p = 0.023). Multivariate regression analysis revealed that having an unemployed husband/partner (adjusted odds ratio (AOR): 2.33; 95% Confidence Interval (C.I.): 1.24 - 4.38; p = 0.009), with low birth weight babies (AOR: 1.66; 95% C.I.: 1.01 - 2.73; p = 0.045), and delivering without induction of labour (AOR: 4.27; 95% C.I.: 2.38 - 7.64; p < 0.001) were independently associated with poor prenatal service utilization.

 

Conclusion: efforts devoted to identifying women who are likely to be non- and poor-utilizers of prenatal care are recommended. Scaling up awareness campaigns on maximizing the benefits of prenatal care, increasing the content quality of antenatal visits to give women a positive pregnancy experience and implementing a National Health Insurance package that strategically targets the most socially underprivileged classes are advocated to promote safe motherhood and the objectives of antenatal care.

 

 

Introduction    Down

Prenatal care provided by skilled personnel has been found to ensure the health of pregnant mothers and improve pregnancy outcomes by identifying and promptly managing pregnancy-related complications [1-3]. The benefits of prenatal service utilization include provision of evidence-based clinical interventions, including prevention of mother-to-child transmission of HIV, maternal health education and counselling on birth-preparedness and complication-readiness. Specialized care can be quickly arranged when the need arises. Besides, women who attend prenatal care are more likely to have facility-based deliveries, and return for postnatal care [4, 5]. On the contrary, lack of antenatal care has been clearly linked with increased perinatal morbidity and mortality. While poor utilization of prenatal services is no longer an issue in most developed countries, low- and middle-income nations still grapple with the adverse pregnancy outcomes related to poor antenatal care [6-9]. Following large, randomized, multi-centre trials that identified evidence-based interventions, clinic-visit patterns that were beneficial and cost-effective to pregnant mothers, the World Health Organization (WHO) recommended four focused antenatal visits for all women [10]. This model has formed the basis for research designs, awareness campaigns and policy formulation in many nations since 2002. However, review of the benefits of the focused antenatal care model and the views of pregnant women led to the development of new guidelines in 2016. The latest model recommended a minimum of eight contacts to reduce pregnancy complications and perinatal mortality, and give women a positive pregnancy experience from antenatal care [11]. According to the Nigeria Demographic and Health Survey, among women who had a live birth in the five years preceding the survey, 61% received antenatal care from a skilled provider, while 51% of the pregnant women reportedly made at least four antenatal visits during the pregnancy [12]. This poor utilization of prenatal service occurs commonly in developing countries [13], but the predictors and barriers to accessing the minimum number of antenatal visits have not been fully explored in our setting. Nigeria is yet to operationalize the focused antenatal care model, nor the latest 2016 guidelines. Before the decision to fully transit from the traditional model to a new one is taken, it would be beneficial to evaluate the current practice in the light of the proposed models. This will serve as a template for policy makers involved in the development of public health strategies to increase antenatal coverage and improve prenatal service delivery.

 

 

Methods Up    Down

Study site

 

The index study was conducted in Ekiti State University Teaching Hospital (EKSUTH), Ado-Ekiti, in Southern Nigeria, between April 2012 and March 2015. The hospital is a tertiary health facility which serves as the Teaching Hospital for the College of Medicine, Ekiti State University, Ado-Ekiti, and is also an obstetric referral centre serving the private, primary and secondary health institutions within Ekiti State and its neighbouring states. Its clientele is made up of a mixture of self-presenting, health-personnel-referred, and health-facility-transferred patients. It runs weekly antenatal clinics supervised by obstetricians, and all prenatal service delivery is undertaken by consultant-led teams.

 

Study participants

 

The study participants were consecutive pregnant mothers who had their deliveries at the Teaching Hospital during the study period. Every week day, all obstetric cases managed in the preceding 24 hours in the Department of Obstetrics and Gynaecology are reviewed. Maternal socio-demographic and clinical characteristics were extracted into an electronic database using a comprehensive proforma with over 180 variables, including previous gynaecological and obstetric details, index pregnancy and its progress, parturition, puerperium, observed complications and perinatal outcomes. The data were obtained from antenatal progress records, registers in the materno-fetal medicine/antenatal ward, labour ward, maternity theatre, postnatal ward and complemented by entries from nurses´ sheets to ensure completeness. The extracted details were entered into the database by a trained research assistant employed full time for that purpose.

 

Sample size

 

The size of the study population was purposively chosen to include women who delivered within the study duration. However, those who had incomplete data and women with severe medical illnesses necessitating frequent hospital visits were not included in the study. The institution´s Ethics and Research Committee gave approval for the study. For the purpose of this study, participants were regarded as unbooked for prenatal care if they had no antenatal care, were not cared for by a skilled provider, or referred from a traditional birth attendant following the occurrence of a complication during pregnancy or labour. The prenatal visits were contacts with the obstetricians and midwives according to the recommended schedule by the American College of Obstetricians and Gynaecologists [14] that did not result in delivery. Based on the number of prenatal visits, the women were divided into two operational groups: poor utilizers who had fewer than 4 visits and the good utilizers who had at least four. Gestational age at delivery was calculated from the number of weeks completed from the first day of the last menstrual period; if she was uncertain of her dates, this was extrapolated from ultrasonography. The birth weight was recorded at most six hours after birth to the nearest 100 grammes, while the Apgar scoring was done by the paediatrician or midwife present at the delivery in the first and fifth minutes of life. A baby had low birth weight if it weighed less than 2,500 grammes irrespective of the gestational age at delivery.

 

Data analysis

 

The retrieved data were coded into, and analyzed using the Statistical Software for the Social Sciences (SPSS) package version 20. Frequency distribution and percentages were generated from the data. Pearson´s Chi-square test was used to explore the univariate association of the maternal and pregnancy characteristics with prenatal service utilization. Bivariate regression analysis was employed to test the strength of the association between maternal socio-demographic characteristics and pregnancy outcomes with prenatal service utilization, and the results were expressed as crude odds ratio with the corresponding 95% confidence interval. The variables that showed significant association with prenatal service utilization were included in multivariate logistic regression model to identify the independent predictors of poor prenatal service utilization. The results of the multivariate regression analyses were expressed as adjusted odds ratio at 95% confidence interval (C. I.), with level of significance set at p < 0.05.

 

 

Results Up    Down

Of the 2,139 parturients included in the study, the greater proportion, 1180 (55.2%), were at least 30 years old, married 2112 (98.7%), multiparous 1282 (59.9%), having a tertiary-level education 1646 (77%). They were mainly of Yoruba extraction, 1960 (91.6%), with other ethnic groups (such as Igala, Ebira, Isoko, etc.) making up 65 (3%) of the study population. Eighty percent (1713) of the women were employed, while 2020 (94.4%) had husbands who were in paid employment. Regarding their antenatal booking status, 624 (29.2%) of them were unbooked for antenatal care, while 159 (10.5%) had less than four antenatal visits before delivery (Table 1). The maternal characteristics and pregnancy outcome of unbooked women were compared with those of women who had less than four antenatal visits in Table 2. There was no statistically significant difference observed between the two groups of women. Women who had poor prenatal utilization were compared with adequate utilizers in Table 3. Poor utilizers were significantly more likely to be single mothers (30% versus 10.4%, p = 0.043), with unemployed husbands/partners (21.9% versus 10%, p = 0.002), but less likely to have labour induction (13.1% versus 3.2%, p < 0.001) compared with good utilizers. Also, the women with fewer than four antenatal visits had significantly more babies with low birth weight (18% versus 9.8%, p = 0.003), and 5-minute Apgar scores less than 7 (17.9% versus 10.1%, p = 0.023). Poor prenatal service utilization was predicted by having unemployed husbands/partners (adjusted odds ratio (AOR): 2.33; 95% C.I.: 1.24 - 4.38; p = 0.009). Also, not having induction of labour (AOR: 4.27; 95% C.I.: 2.38 - 7.64; p < 0.001) and having low-birth-weight babies (AOR: 1.66; 95% C.I.: 1.01 - 2.73; p = 0.045) were independently associated with poor prenatal service utilization (Table 4).

 

 

Discussion Up    Down

Our study did not just seek to compare women who had antenatal care at EKSUTH with those who did not, because that would underestimate the beneficial value of prenatal care. Instead, we sought to explore the potential advantages of adequate antenatal visits/service utilization over poor utilization with respect to pregnancy outcomes.

 

Statement of principal findings

 

Interestingly, we found that women who did not utilize prenatal services by a skilled provider were comparable in maternal characteristics and pregnancy outcomes with those who were poor utilizers. Women´s decision to fully maximize the potential benefits of prenatal services in low-income settings is modified by certain factors, including ease of accessing the facility, their perception of the quality of service provided, socio-economic status, level of education, previous pregnancy outcomes and cultural beliefs [7, 15, 16]. Eliminating these barriers would increase maternal prenatal service utilization. Single/unmarried mothers were more likely to utilize prenatal services poorly. This finding, which has been documented by other authors [17], can be due to lack of social support, teenage pregnancies, unwanted pregnancies and fear of stigmatization. We found that women with unemployed spouses were less likely to fully utilize antenatal care packages. In our largely paternalistic setting, the socio-economic status of women with unemployed husbands may likely be low, which may negatively impact on their attendance at antenatal clinics where they need to pay out-of-pocket [18-20]. Our study also revealed that, more women with poor antenatal attendance had babies with 5-minute Apgar scores below 7. The association between lack of antenatal care and perinatal morbidity and mortality has been documented by studies from various countries [6]. This could be the result of an interplay of poor antenatal attendance with social factors like poor health-seeking behaviours of the mothers. Besides, this category of women might belong to a socially underprivileged group (such as low family income) with increased risk of adverse perinatal outcome [6]. However, having unemployed partners was the only one of these three variables that was associated with poor utilization after controlling for other confounders. The index study revealed that poor utilizers of prenatal care were significantly less likely to have labour induction. Several Nigerian studies have documented that the commonest indication for labour induction is post-term pregnancies [21-23]. This may suggest that more women who utilized prenatal care poorly did not exceed their expected dates of delivery, a likely scenario corroborated by the finding that more low birth weight babies were delivered by poor utilizers of prenatal care. There are a number of perspectives to this latter observation. On the one hand, risk factors for intrauterine fetal restriction might not be identified early in women with less than four antenatal visits, with delayed commencement of management options and resultant low birth weight babies. On the other hand, they may present with complications in pregnancy necessitating earlier deliveries. Considering the link between poor perinatal utilization, low birth weight and increasing perinatal/childhood challenges [6, 24-27], efforts at scaling up awareness campaigns on maximizing the benefits of prenatal care and increasing the content quality of antenatal visits to give women a positive pregnancy experience are advocated.

 

Strengths and weaknesses of the study

 

The results of this facility-based study may not be an exact reflection of the situation in the community. However, since the study setting receives referrals from the primary and secondary health facilities that are closer to the community, the findings may be extrapolated to represent the local population. Also, although the data did not include evaluation of the content of the antenatal visits, this survey has provided salient data that can serve as a template for further studies on the subject.

 

Meaning of the study

 

Mothers who had no or less-than-adequate antenatal care have unfavourable perinatal outcomes. Identifying predictors of poor utilization could guide public health interventions aimed at increasing uptake of antenatal care.

 

Unanswered questions and future research

 

It is not completely certain if provision of universal access to antenatal care will lead to total acceptance and uptake of prenatal service in our setting. The influence of socio-cultural modifiers of health-seeking behaviour as it relates to prenatal service uptake needs to be explored.

 

 

Conclusion Up    Down

The socio-demographic characteristics and pregnancy outcomes of mothers who had no skilled prenatal care provider did not differ significantly from those of mothers who utilized prenatal services poorly. Furthermore, women who had less than four prenatal visits were more likely to be single, with unemployed partners, and have babies with low birth weight and poor 5-minute Apgar scores. Efforts devoted to identifying women who are likely to be non- and poor-utilizers of prenatal care are recommended. Eliminating barriers to accessing prenatal services, and implementing a National Health Insurance package that also targets the most socially underprivileged classes are advocated.

What is known about this topic

  • Utilizing antenatal care adequately improves pregnancy outcomes;
  • Developing nations still grapple with the unpleasant outcomes of poor antenatal care.

What this study adds

  • Having no care is similar to poor antenatal care in terms of pregnancy outcomes;
  • Indices of low socioeconomic status are predictors of poor antenatal utilization;
  • Poor perinatal outcomes are linked with poor antenatal care; therefore, Nigeria should adopt a model that will ensure improved materno-fetal well-being via increased clinic visits.

 

 

Competing interests Up    Down

The authors declare no competing interests.

 

 

Authors' contributions Up    Down

J.O.A conceived and designed the study, analyzed and interpreted the data, drafted the article and gave final approval of the version to be submitted. B.A.O acquired the data, revised critically for important intellectual content, and gave final approval of the version to be submitted. All the authors read and approved the final version of the manuscript.

 

 

Acknowledgments Up    Down

The authors wish to acknowledge the contributions of the research assistant, Mr Sunday Ibiyemi, and all the residents, consultants and staff of the Department of Obstetrics and Gynaecology, Ekiti State University Teaching Hospital, Ado-Ekiti.

 

 

Tables  Up    Down

Table 1: maternal socio-demographic characteristics, n = 2,139

Table 2: maternal socio-demographic characteristics and pregnancy outcome of women without prenatal care versus women with poor prenatal service utilization

Table 3: maternal socio-demographic characteristics and pregnancy outcome of women with poor prenatal service utilization versus women with good prenatal service utilization

Table 4: logistic regression analyses of predictors of poor prenatal service utilization

 

 

References Up    Down

  1. Bloom SS, Lippeveld T, Wypij D. Does antenatal care make a difference to safe delivery? A study in urban Uttar Pradesh, India. Health Policy Plan. 1999 Mar;14(1):38-8. PubMed | Google Scholar

  2. WHO, UNICEF. Antenatal care in developing countries: Promises, Achievements and Missed opportunities: An analysis of trends, levels, and differentials: 1990-2001. Geneva, New York: WHO & UNICEF, 2003.

  3. Raatikainen K, Heiskanen N, Heinonen S. Under-attending free antenatal care is associated with adverse pregnancy outcomes. BMC Public Health. 2007 Sep;7:268. PubMed | Google Scholar

  4. World Health Organization (WHO). Pregnancy, childbirth, postpartum and newborn care: A guide for essential practice. Geneva: World Health Organization. 2009.

  5. Chakraborty N, Islam MA, Chowdhury RI, Bari W. Utilisation of postnatal care in Bangladesh: evidence from a longitudinal study. Health Soc Care Community. 2002 Nov;10(6):492-502. PubMed | Google Scholar

  6. Blondel B, Dutilh P, Delour M, Uzan S. Poor antenatal care and pregnancy outcome. Eur J Obstet Gynecol Reprod Biol. 1993 Aug;50(3):191-6. PubMed | Google Scholar

  7. Magadi MA, Madise NJ, Rodrigues RN. Frequency and timing of antenatal care in Kenya: explaining the variations between women of different communities. Soc Sci Med. 2000 Aug;51(4):551-561. PubMed | Google Scholar

  8. Pallikadavath S, Foss M, Stones RW. Antenatal care: provision and inequality in rural north India. Soc Sci Med. 2004 Sep;59(6):1147-58. PubMed | Google Scholar

  9. Myer L, Harrison A. Why do women seek antenatal care late? Perspectives from rural South Africa. J Midwifery Women's Health. 2003 Jul-Aug;48(4):268-272. PubMed | Google Scholar

  10. Carroli G, Villar J, Piaggio G, Khan-Neelofur D, Gulmezoglu M, Mugford M et al. WHO systematic review of randomised controlled trials of routine antenatal care. Lancet. 2001;357(9268):1565-70. PubMed | Google Scholar

  11. World Health Organization (WHO). WHO recommendations on antenatal care for a positive pregnancy experience. 2016. PubMed | Google Scholar

  12. National Population Commission (NPC) [Nigeria] and ICF International. Nigeria Demographic and Health Survey 2013. Abuja, Nigeria, and Rockville, Maryland, USA: NPC and ICF International. 2014.

  13. Onwuhafua PI, Ozed-Williams IC, Kolawole AO, Adze JA. The effect of frequency of antenatal visits on pregnancy outcome in Kaduna, Northern Nigeria. Trop J Obstet Gynaecol. 2016;33(3):317-21. Google Scholar

  14. American College of Obstetricians and Gynecologists. Manual of Standards in Obstetric-Gynecologic Practice. 2nd ed. Chicago, Illinois: American College of Obstetricians and Gynecologists; 1965.

  15. Simkhada B, Teijlingen ER, Porter M, Simkhada P. Factors affecting the utilization of antenatal care in developing countries: systematic review of the literature. J Adv Nurs. 2008 Feb;61(3):244-60. PubMed | Google Scholar

  16. Titaley CR, Dibley MJ, Roberts CL. Factors associated with underutilization of antenatal care services in Indonesia: results of Indonesia Demographic and Health Survey 2002/2003 and 2007. BMC Public Health. 2010 Aug 16;10:485. PubMed | Google Scholar

  17. Gupta S, Yamada G, Mpembeni R, Frumence G, Callaghan-Koru JA, Stevenson R et al. Factors associated with four or more antenatal care visits and its decline among pregnant women in Tanzania between 1999 and 2010. PLoS One. 2014; 9(7): e101893. eCollection 2014. PubMed | Google Scholar

  18. Kaswa R, Rupesinghe GFD, Longo-Mbenza B. Exploring the pregnant women?s perspective of late booking of antenatal care services at Mbekweni Health Centre in Eastern Cape, South Africa. Afr J Prim Health Care Fam Med. 2018 Jul 2;10(1):e1-e9. PubMed | Google Scholar

  19. Nsibu CN, Manianga C, Kapanga S, Mona E, Pululu P, Aloni MN. Determinants of Antenatal Care Attendance among Pregnant Women Living in Endemic Malaria Settings: Experience from the Democratic Republic of Congo. Obstet Gynecol Int. 2016;2016:5423413. Epub 2016 Sep 15. PubMed | Google Scholar

  20. Peters DH, Garg A, Bloom G, Walker DG, Brieger WR, Rahman MH. Poverty and access to health care in developing countries. Ann N Y Acad Sci. 2008;1136:161-71. Epub 2007 Oct 22. PubMed | Google Scholar

  21. Lawani OL, Onyebuchi AK, Iyoke CA, Okafo CN, Ajah LO. Obstetric Outcome and Significance of Labour Induction in a Health Resource Poor Setting. Obstet Gynecol Int. 2014;2014:419621. Epub 2014 Jan 20. PubMed | Google Scholar

  22. Burodo AT, Ladan AA, Singh S, Ukwu EA, Hassan M, Nnadi DC et al. Outcome of Induction of Labour in a Tertiary Hospital, North Western Nigeria. J Gynecol. 2018; 3(4):000167; 1-6.

  23. Bello FA, Akinyotu OO. Predictors of successful induction of labour at a tertiary obstetric service in Southwest Nigeria. Trop J Obstet Gynaecol. 2016;33(2):143-8. Google Scholar

  24. Eisner V, Brazie JV, Pratt MW, Hexter AC. The risk of low birth weight. Am J Public Health. 1979 Sep;69(9):887-93. PubMed | Google Scholar

  25. Greenberg RS. The impact of prenatal care in different social groups. Am J Obstet Gynecol. 1983 Apr 1;145(7):797-801. PubMed | Google Scholar

  26. Keeping JD, Chang AMZ, Morrison J, Esler EJ. Poor antenatal attendance and obstetric performance. Aust NZ J Obstet Gynaecol. 1980 Aug;20(3):139-143. PubMed | Google Scholar

  27. Insler V, Larholt ZJ, Baly R, Bar-David G, Meizner I, Karplus M et al. The impact of prenatal care on the outcome of pregnancy. Eur J Obstet Gynecol Reprod Biol. 1986 Nov;23(3-4):211-223. PubMed | Google Scholar