Figures
Abstract
Introduction
Reduction of maternal mortality remains a global priority as highlighted by the third Sustainable Development Goal (SDG). This is critical in the case of Sierra Leone as the country is one of three (3) countries with the highest maternal mortality ratio globally, thus 1,120 per 100,000 live births. The approximate lifetime risk of maternal mortality in the country is 1 in 17, relative to 1 in 3,300 in high-income countries. These raise doubt about the quality of the continuum of maternal healthcare in the country, particularly antenatal care and as a result, the objective of the present study is to investigate the association between socio-economic disadvantage and quality antenatal care service utilisation as well as associated correlates in Sierra Leone.
Materials and methods
The study used data from the most recent Demographic and Health Survey (DHS) of Sierra Leone. Only women who had given birth in the five years preceding the survey were included, which is 6,028. Quality antenatal care was defined as receipt of recommended ANC services including uptake of recommended pregnancy drugs (e.g. Fansidar and iron supplement); injections (e.g. tetanus injection) and having some samples (e.g. blood and urine sample) and health status indicators (e.g. blood pressure) taken. An index was created from these indicators with scores ranging from 0 to 6. The scores 0 to 5 were labelled as “incomplete” and 6 was labelled as “complete” and this was used to create a dummy variable. In analysing the data, descriptive analysis was done using chi-square test as well as an inferential analysis using bivariate and multivariate models.
Results
Socio-economic disadvantaged [1.46 (1.09, 1.95), place of residence [2.29 (1.43, 3.67)], frequency of listening to radio [1.58 (1.20, 2.09)], health insurance coverage [3.48 (1.40, 8.64)], getting medical help for self: permission to go [0.53(0.42, 0.69) were seen to have significant relationship with quality of ANC utilized by women during pregnancy. Also, women Mende ethnicity are more likely to utilise quality ANC compared to women from the Temne ethnicity [2.58 (1.79, 3.72)].
Citation: Dickson KS, Kwabena Ameyaw E, Akpeke M, Mottey BE, Adde KS, Esia-Donkoh K (2023) Socio-economic disadvantage and quality Antenatal Care (ANC) in Sierra Leone: Evidence from Demographic and Health Survey. PLoS ONE 18(1): e0280061. https://doi.org/10.1371/journal.pone.0280061
Editor: Bettye A. Apenteng, Georgia Southern University, UNITED STATES
Received: January 17, 2022; Accepted: December 20, 2022; Published: January 12, 2023
Copyright: © 2023 Dickson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: The datasets are freely available to the public at www.measuredhs.com.
Funding: The author(s) received no specific funding for this work.
Competing interests: The authors have declared that no competing interests exist.
Abbreviations: ANC, Antenatal Care; AORs, Adjusted Odds Ratio; CEDAW, Convention on the Elimination of All Forms of Discrimination Against Women; CIs, Confidence Intervals; DHS, Demographic and Health Survey; FHCI, Free Health Care Initiative; ICESCR, International Covenant on Economic, Social and Cultural Rights; ICF, Inner-City Fund; LMICs, Low- And Middle-Income Countries; MMR, Maternal Mortality Rate; ORs, Odds Ratios; SDG, Sustainable Development Goals; SDG, Sustainable Development Goals; SES, Socio-Economic Status; SSA, Sub-Saharan Africa; WHO, World Health Organisation
Introduction
Reduction in maternal mortality remains a global priority as highlighted by the third Sustainable Development Goal (SDG) [1,2]. However, it remains a global challenge because over 800 women die daily from pregnancy and childbirth-related problems [3]. Although worldwide, there has been a reduction in maternal deaths from 342 to 211 deaths per 100,000 live births between 2000 and 2017 [3] the contribution of developing countries to maternal mortality remains high with sub-Saharan Africa (SSA) accounting for about 66% of global maternal mortality cases [4]. As of 2017, South Sudan, Chad and Sierra Leone recorded maternal mortality rates (MMR) above one thousand [3]. This could be attributed to the fact that most women in SSA are socially or economically disadvantaged and therefore have a high risk of dying during pregnancy and childbirth [5]. That is, poorer women in sub-Saharan African countries like Sierra Leone lack timely access to both skilled attendants during pregnancy (antenatal care) and childbirth, unlike women in developed countries where life-saving devices and emergency procedures are readily available [5].
As such, maternal mortality has been acknowledged as a human right issue in the highest attainable standard of health [6]. This is recognised and protected by international human rights treaties such as the Convention on the Elimination of All Forms of Discrimination Against Women (CEDAW), the International Covenant on Economic, Social and Cultural Rights (ICESCR) and the laws of many countries [7,8]. Maternal mortality could be prevented with the utilization of quality antenatal care (ANC) services [9–11]. Quality ANC services promote early detection and treatment of complications thereby increasing the chances of safe delivery [12]. Despite these benefits, most pregnant women in some SSA countries do not utilize quality ANC services adequately and lose their lives at the time of pregnancy or during childbirth [13]. Distance to health facilities, limited options for transport, and a high prevalence of traditional practices and beliefs are some of the key contributors to the underutilization of quality ANC services [1,13].
Despite the regional decline in maternal mortality, Sierra Leone records the third highest cases of maternal death globally, with 1,120 deaths per 100,000 live births [14]. This is overwhelming because, with the Free Health Care Initiative (FHCI) that was introduced in Sierra Leone purposely to exempt pregnant women from paying costs associated with ANC, the country is expected to be among those with low maternal mortality rates [15]. However, the country recorded an increment of only 24% in more than four focused ANC visits within the period of 2008 to 2013 [15]. Generally, the cost of healthcare and distance to health care facilities remain barriers to accessing healthcare services (or in time) by pregnant women most especially in rural areas [16]. It is not surprising to note that maternal mortality increased during the Ebola outbreak period. Fear of contracting the disease discouraged people from visiting healthcare facilities [16,17].
Most facilities that provide delivery services, had inadequate rooms and kits for delivery and this result in poor service quality [18]. In addition, other existing literature has shown that lack of essential supplies and infrastructure at service delivery points coupled with late first ANC visits are the main barriers to the provision of ANC services in Sierra Leone [5,19]. Based on the foregoing and the paucity of the empirical literature on quality ANC, the objective of the paper is to determine the association between socio-economic disadvantage and quality antenatal care service utilisation in Sierra Leone as well as correlates of quality antenatal care. Results from this study will unearth the predictors of quality ANC utilisation in Sierra Leone. This would assist policymakers and health workers in the provision of quality ANC services for pregnant women in Sierra Leone to reduce maternal mortality and aid in achieving the first target of SDG 3.
Materials and methods
Data
The study used data from the most recent Demographic and Health Survey (DHS) conducted in Sierra Leone in 2019. The DHS is a country-wide representative study undertaken in a five-year period in several low- and middle-income countries (LMICs) in Asia and Africa. It focuses on maternal and child health by interviewing women in their reproductive age (15–49 years). The DHS follows a standard procedure in areas such as sampling, questionnaire, data collection, cleaning, coding, and analysis, which allows for comparability among countries. For this study, only women who have given birth in the five years preceding the surveys were included, which is 6,028.
Definition of variables
Dependent variable.
Table 1 presents the measurement of variables. The dependent variable is quality antenatal care (ANC) surmised from literature [20–22]. The elements of quality antenatal care consist of: 1. Took Fansidar during pregnancy; 2. Tetanus injection before birth; 3. Blood pressure taken during pregnancy; 4. Urine sample taken during pregnancy; 5. Iron supplements taken during pregnancy; and 6. Blood sample taken during pregnancy. An index was created with scores ranging from 0 to 6. The scores 0 to 5 were labeled as “incomplete” and 6 was labeled as “complete”. A dummy variable was generated with ‘0’ being women who had 0 to 5 of the elements of antenatal care and ‘1’ if women had all the six elements of antenatal care.
Explanatory variable and covariates.
The socio-economic disadvantage variable was generated from the wealth status, education and occupation variables and captured as tertile 1(least disadvantaged), tertile 2 (moderate disadvantaged), and tertile 3 (most disadvantaged). A standardised rating was derived with an average rating (zero) and standard deviation. The rankings were then segregated into tertiles representing lower scores (tertile 1), average scores (tertile 2) and higher scores (tertile 3). Other explanatory variables or covariates include age, place of residence, marital status, frequency of listening to radio, frequency of watching television, getting medical help for self: permission to go, getting medical help for self: getting money needed for treatment, getting medical help for self: distance to health facility, health insurance coverage, ethnicity, religion, region.
Data analysis
Descriptive and inferential analyses were conducted. The descriptive analyses (a chi-square test) focused on background characteristics and quality of ANC. Two models were used for the inferential analysis. Model 1 was a bivariate analysis that explored the relationship between socio-economic disadvantage and quality ANC. Model 2 was a multivariate analysis looked at the complete model, it controlled for the other explanatory variables. Model 2 examined the relationship between all the explanatory variables (Socio-economic disadvantage, age, place of residence, level of education, wealth status, marital status, frequency of listening to radio, frequency of watching television, getting medical help for self: permission to go, getting medical help for self: getting money needed for treatment, getting medical help for self: distance to health facility) and the outcome variable (Quality of Antenatal Care (ANC).
Specifically, Binary Logistic Regression was conducted. A key assumption underlying the binary logistic regression model is that the dependent variable should be dichotomous in nature and the data should not have any outlier. The formulae behind the binary logistic regression is given as;
Let Y be a dichotomous variable which is defined as
and p = Pr (Y = 1|X1,…,Xk).
Note: With no predictors,
The model was used to examine the relationships between the explanatory factors and the outcome variable. All results of the binary logistic analyses were presented as odds ratios (ORs) and adjusted odds ratios (AORs) with 95% confidence intervals (CIs). Normative groups were chosen as reference categories in the models [23]. The svy command was used to account for the complexity of the sampling of the DHS. All analyses were done using Stata version 14.
Ethical approval
This study benefited from a set of publicly available data from DHS. The DHS Program adheres to ethical standards to protect respondents’ privacy. Inner-City Fund (ICF) International and the National Institute of Statistics (Institut Nationale de la Statistique) also ensure that the DHS surveys comply with the ethical requirements of Health and Human Services. For this study, no additional ethical approval was required because the data is secondary and publicly available. Details of the ethical standards are available at http://goo.gl/ny8T6X.
Results
Background characteristics and quality antenatal care
Table 2 presents the background characteristics and proportion of quality antenatal care received. Moderately disadvantaged women (91.1%), women aged 20–24 (89.8%) as well as and urban residents (93.5%) dominated in accessing quality ANC. Similarly, women who had never been in union (91.3%) dominated in access to quality ANC. It was also evident that 92.6% of women who listened to radio at least once a week, and 94% of those who watched television, at least, once a week had quality ANC just as the proportion of women who admitted that getting permission to access healthcare was not a big problem (90.7%). Additionally, receipt of quality ANC dominated among women who indicated that getting money needed for treatment (89.5%) and distance to health facility were not big problems (90.1%). Similarly, those with health insurance coverage (97.7%), from other foreign ethnicity (100%), identified as Islam (88.5%) and from the Western region (95.2%) had a higher proportion of women receiving quality ANC.
Inferential results.
As illustrated in Table 3, moderate disadvantaged women had higher odds of receiving quality ANC relative to most disadvantaged women (aOR = 1.46, 95% CI = 1.09, 1.94). Compared with urban residents, women in rural locations had higher odds of receiving quality ANC (aOR = 2.29; 95% CI = 1.43, 3.67). Higher odds of quality ANC were also noted among women who reported that they listened to radio, at least, once a week (aOR = 1.58; 95% CI = 1.20, 2.09) (see Table 3). Meanwhile, women who indicated that getting permission to seek medical care was a big problem had lower odds of ANC (aOR = 0.53; 95% CI = 0.42, 0.69) compared to those who reported that getting permission was not a big problem.
Higher odds of quality ANC were noted among women covered by health insurance (aOR = 3.48; CI = 1.40, 8.64) compared to women who were not covered with. Women with Mende ethnic group were seen to have a higher odds of quality ANC (aOR = 2.58; CI = 1.79, 3.72) compared to women with Temne ethic group. The analysis further showed that women from Eastern region (aOR = 0.29, CI = 0.18, 0.46) and Southern region (aOR = 0.26, CI = 0.16, 0.42) were less likely to receive quality ANC in comparison with women from the Northern region.
Discussion
The goal of reducing maternal and neonatal mortality is being prioritised globally and measures are being put in place by several countries to reduce this rate. We investigated the prevalence and characteristics of women who receive quality ANC in Sierra Leone. We found that socio-economic disadvantaged women, health insurance coverage, ethnicity, region, place of residence, frequency of listening to radio, and getting medical help for self: permission to go, had significant relationship with quality ANC utilisation.
In Sierra Leone, interventions such as FHCI have been implemented to increase patronage and quality of ANC services. The FHCI was found to favor the rich and the educated more than those on the lower end of the wealth quintile or with little or no education [24]. In accordance, this study found that poor socio-economic status remains a barrier to quality ANC. Women from most disadvantaged socio-economic backgrounds are less likely to have quality ANC compared to those from moderately socio-economic disadvantaged settings. This directly supports the findings of Obse & Ataguba [25] that socio-economically disadvantaged women are unable to utilize the recommended ANC services. Given that socio-economic disadvantage is attributable to low socio-economic status (SES), women in this category (SES) had lesser quality ANC comparatively. Women with higher SES are therefore more likely to seek quality care from facilities. Also, it is notable that an increase in wealth and educational level increases the quality of ANC [21]. This could be attributed to the argument of Obse & Ataguba [25] that the health care system in Sierra Leone may not be sensitive to the cultural needs of the poor and less educated women. As such, there is a need for policy makers to re-evaluate their policies to serve the needs of socio-economically disadvantaged women.
In certain parts of Africa (Western and Southern), it was found that women who are household heads have higher odds of going to the facility to seek healthcare [26]. This assertion corroborates the finding of our study that women with difficulty in getting permission to seek medical care for themselves had a lower likelihood of utilizing quality ANC. From the background characteristics, it was noted that a higher percentage (90.7%) of women that had no issue with permission to seek medical help had quality ANC compared to a lesser percentage with those that admitted difficulty in getting permission. It is however not surprising that, after controlling for other factors, the latter women have a higher likelihood of having quality ANC than those with no problem with seeking permission.
The place of residence is considered a determinant of ANC utilization. Tessema et. al. [4] and Shibre et al [27] asserted that women in rural settings tend to have a comparatively lower quality of ANC. This is however contrary to the finding in our studies. We found that women living in rural areas were more likely to utilise quality ANC services. This could be attributed to the FHCI which has helped in narrowing the wealth related inequality in MCH which includes ANC visits in Sierra Leone [15]. However, the existing residential inequality in may be due implementation gaps in the FCHI, considering that the FCHI was intended to overcome this gap. The government of Sierra Leone should review the FCHI and consider more measurable implementation indicators in order for the country to track the extent of implementation with ease. Besides, much synergistic effort is required between the Health Ministry and all maternal health stakeholders, whilst ensuring close monitoring and supervision at the facility level in order to ensure that all women receive quality ANC, irrespective of geographical location.
We also believe that the introduction of the National Health Sector Strategic Plan in 2017 by the Ministry of Health and Sanitation and the Diaspora Engagement project of the International Organisation for Migration in strengthening Sierra Leonean National Health Care Capacity have yielded positive results by making health care accessible, affordable and equitable in Sierra Leone [28]. Also, some studies showed that poorer women seem to have higher fertility rate and this can influence their increased demand for health services including ANC visits [29,30]. Given that most rural settings comparatively have higher proportion of poorer people [28], this could translate into the higher demand for quality ANC services in rural settings than urban ones.
We also found that women who listen to radio once a week have a higher chance of having quality ANC than those who do not listen at all. From previous studies, mass media especially radio serves as a source of information on health issues [31–33]. Benefo [32] and Lupton [33] argued that women receive information when needed through digital media. This shows that digital media plays a role in information dissemination and radio is one of such sources. This thus behooves the Ministry of Health and Sanitation of Sierra Leone to take advantage of the media to increase education on the importance of quality ANC utilization.
Even though other studies found distance to health facility as a barrier to quality ANC [1,13], the finding from our study was otherwise. Distance to health facility was not a barrier for women who were seeking health care for themselves. A plausible explanation is the introduction of the FCHI which eliminated medical fees and aided the provision of drugs and treatment at no cost. We believe this has lessened the financial barriers and enabled women to be able to access quality ANC services regardless of the distance. Since this service has helped in narrowing the wealth inequality [15].
We also found that women with health insurance coverage had a higher likelihood of utilizing quality ANC as compared to their counterparts with no health insurance coverage. This affirms the findings of Dadjo, Ahinkorah and Yaya [34] and Aboagye et al [35] that also found health insurance coverage has a significant association with the utilization of ANC. This could be attributed to the fact that health insurance eliminates the financial barriers that could have prevented women from seeking quality ANC services. We also observed that women from the Eastern and Southern region were less likely to utilize quality ANC as compared to women from the Northern region. Considering that the Eastern region has locations which happens to be the epicenters of the Ebola outbreak (e.g. Kailahun district) [36], it is possible that women’s motivation to access the health facility due to the fear deadly nosocomial infections, especially as pregnant women tend to have compromised immunity [37].
Effective community-based health education programs can be rolled out to educate women about the safety of health facilities and to remind them on the importance of quality ANC. Regarding Southern region, considering the limited health facilities, some authors have described it as surprising for women to have expected ANC [38]. Consequently, it is not surprising that women in the region had relatively lower odds of receiving quality ANC. Existing policies on maternal wellbeing need to priorities health promotion interventions, in order for women to appreciate that accessing quality ANC is extremely important for the wellbeing of themselves and their newborns.
Strengths and limitations
The strength of the study is rooted in the robust analytical and statistical method used to enhance the trustworthiness of our findings. Besides, we provided detailed methodological procedure to enhance the replicability of this study. The use of nationally representative data also enables the generalizability of the study to all women in the reproductive age group in Sierra Leone. These notwithstanding, given that DHS employs a cross-sectional design, our study was not able to determine causality between the various factors. Since pre-existing data was used, it was not possible to include some indicators for measuring quality ANC, including but not limited to quantified distance and time spent to reach the health facility. Additionally, since the responses were self-reported, there is a possibility of recall bias, hence the interpretation of the findings should be done with some caution.
Conclusion
The socio-economic disadvantaged status of women, place of residence as well as region, frequency of listening to radio, ethnicity, getting medical help for self: permission to go, and health insurance coverage were found to have a significant relationship with the utilization of quality ANC in Sierra Leone. Policy makers in the health sector of Sierra Leone need to consider measures to boost patronage of quality ANC in Sierra Leone by targeting the socio-economically disadvantaged women. Targeting these sub-groups with pro-MCH interventions such as encouraging education (either formally or informally) and creating job avenues would go a long way to help the socio-economically disadvantaged women. The policy makers should also consider re-evaluating their policies to be sensitive to the cultural needs of women to encourage socio-economic disadvantaged women to utilize quality ANC and MHC services.
Acknowledgments
We express our profound gratitude to the DHS Program for granting access to the dataset.
References
- 1. Dahab R, Sakellariou D. Barriers to accessing maternal care in low income countries in Africa: a systematic review. International journal of environmental research and public health. 2020 Jan;17(12):4292. pmid:32560132
- 2. Callister LC, Edwards JE. Sustainable development goals and the ongoing process of reducing maternal mortality. Journal of Obstetric, Gynecologic & Neonatal Nursing. 2017 May 1;46(3):e56–64. pmid:28286075
- 3.
World Health Organisation, UNICEF, United Nations Population Fund and The World Bank. 2019. Trends in Maternal Mortality: 2000 to 2017. WHO, Geneva.
- 4. Tessema ZT, Teshale AB, Tesema GA, Tamirat KS. Determinants of completing recommended antenatal care utilization in sub-Saharan from 2006 to 2018: evidence from 36 countries using Demographic and Health Surveys. BMC Pregnancy and Childbirth. 2021 Dec;21(1):1–2.
- 5. Koroma MM, Kamara SS, Bangura EA, Kamara MA, Lokossou V, Keita N. The quality of free antenatal and delivery services in Northern Sierra Leone. Health research policy and systems. 2017 Jul;15(1):13–20.
- 6. Freedman L. P. (2001). Using human rights in maternal mortality programs: from analysis to strategy. International Journal of Gynecology & Obstetrics, 75(1), 51–60. pmid:11597619
- 7. Julien H. Is There a Human Right to Safe Motherhood within the United Nations legal sytem. 2015.
- 8. London L, Schneider H. Globalisation and health inequalities: Can a human rights paradigm create space for civil society action?. Social Science & Medicine. 2012 Jan 1;74(1):6–13. pmid:21511377
- 9. Kebede T.T., Godana W., Utaile M.M. et al. Effects of antenatal care service utilization on maternal near miss in Gamo Gofa zone, southern Ethiopia: retrospective cohort study. BMC Pregnancy Childbirth 21, 209. 2021. pmid:33726708
- 10. Wolde H.F., Tsegaye A.T. & Sisay M.M. Late initiation of antenatal care and associated factors among pregnant women in Addis Zemen primary hospital, South Gondar, Ethiopia. Reprod Health 16, 73. 2019. pmid:31151402
- 11. Dickson KS, Darteh EK, Kumi-Kyereme A, Ahinkorah BO. Determinants of choice of skilled antenatal care service providers in Ghana: analysis of demographic and health survey. Maternal health, neonatology and perinatology. 2018 Dec;4(1):1–8. pmid:30002866
- 12. Barbi L, Cham M, Ame-Bruce E, Lazzerini M. Socio-cultural factors influencing the decision of women to seek care during pregnancy and delivery: A qualitative study in South Tongu District, Ghana. Global Public Health. 2021 Apr 3;16(4):532–45. pmid:33164677
- 13. Sharkey A, Yansaneh A, Bangura PS, Kabano A, Brady E, Yumkella F, Diaz T. Maternal and newborn care practices in Sierra Leone: a mixed methods study of four underserved districts. Health policy and planning. 2017 Mar 1;32(2):151–62. pmid:28207047
- 14. Fotso JC, Ambrose A, Hutchinson P, Ali D. Improving maternal and newborn care: cost-effectiveness of an innovation to rebrand traditional birth attendants in Sierra Leone. International Journal of Public Health. 2020 Dec;65(9):1603–12. pmid:33037894
- 15. Jalloh M.B., Bah A.J., James P.B. et al. Impact of the free healthcare initiative on wealth-related inequity in the utilization of maternal & child health services in Sierra Leone. BMC Health Serv Res 19, 352. 2019. pmid:31159785
- 16. Elston J. W., Danis K., Gray N., West K., Lokuge K., Black B.,& & Caleo G. (2020). Maternal health after Ebola: unmet needs and barriers to healthcare in rural Sierra Leone. Health policy and planning, 35(1), 78–90. pmid:31697378
- 17. Yerger P., Jalloh M., Coltart C. E., & King C. (2020). Barriers to maternal health services during the Ebola outbreak in three West African countries: a literature review. BMJ global health, 5(9), e002974. pmid:32895217
- 18. Koroma M. M., Kamara S. S., Bangura E. A., Kamara M. A., Lokossou V., & Keita N. (2017). The quality of free antenatal and delivery services in Northern Sierra Leone. Health research policy and systems, 15(1), 13–20.
- 19. Vallières F, Cassidy EL, McAuliffe E, Gilmore B, Bangura AS, Musa J. Can Sierra Leone maintain the equitable delivery of their Free Health Care Initiative? The case for more contextualised interventions: results of a cross-sectional survey. BMC health services research. 2016 Dec;16(1):1–2. pmid:27412299
- 20. Kanyangarara M, Munos MK, Walker N. Quality of antenatal care service provision in health facilities across sub–Saharan Africa: Evidence from nationally representative health facility assessments. Journal of global health. 2017 Dec;7(2). pmid:29163936
- 21. Afulani PA. Rural/urban and socioeconomic differentials in quality of antenatal care in Ghana. PloS one. 2015 Feb 19;10(2):e0117996. pmid:25695737
- 22. Joshi C, Torvaldsen S, Hodgson R, Hayen A. Factors associated with the use and quality of antenatal care in Nepal: a population-based study using the demographic and health survey data. BMC pregnancy and childbirth. 2014 Dec;14(1):1–1.
- 23. Grace-Martin SA. Data analysis with SPSS: A first course in applied statistics. Statistics. 2010 Dec; 4:27.
- 24. Jalloh M. B., Bah A. J., James P. B., Sevalie S., Hann K., & Shmueli A. (2019). Impact of the free healthcare initiative on wealth-related inequity in the utilization of maternal & child health services in Sierra Leone. BMC health services research, 19(1), 1–15.
- 25. Obse AG, Ataguba JE. Explaining socioeconomic disparities and gaps in the use of antenatal care services in 36 countries in sub-Saharan Africa. Health Policy and Planning. 2021 Jun;36(5):651–61. pmid:33751100
- 26. Akinyemi JO, Banda P, De Wet N, Akosile AE, Odimegwu CO. Household relationships and healthcare seeking behaviour for common childhood illnesses in sub-Saharan Africa: a cross-national mixed effects analysis. BMC health services research. 2019 Dec;19(1):1–1.
- 27. Shibre G, Zegeye B, Idriss-Wheeler D, Ahinkorah BO, Oladimeji O, Yaya S. Socioeconomic and geographic variations in antenatal care coverage in Angola: further analysis of the 2015 demographic and health survey. BMC public health. 2020 Dec;20(1):1–0.
- 28.
The National Health Sector Strategic Plan—The Borgen Project [Internet]. The Borgen Project. 2019 [cited 2022 Oct 11]. Available from: https://borgenproject.org/tag/the-national-health-sector-strategic-plan/.Tsawe M, Susuman AS. Factors associated with the upsurge in the use of delivery care services in Sierra Leone. Public Health. 2020 Mar 1;180:74–81.
- 29. Adebowale S. A., Adedini S. A., Ibisomi L. D., & Palamuleni M. E. (2014). Differential effect of wealth quintile on modern contraceptive use and fertility: evidence from Malawian women. BMC women’s health, 14(1), 1–13. pmid:24602452
- 30. Weerasinghe D. P., & Parr N. J. (2002). Effect of wealth on marital fertility in Sri Lanka. Journal of Health, Population and Nutrition, 112–119. pmid:12186191
- 31. Ameyaw E.K., Dickson K.S. & Adde K.S. Are Ghanaian women meeting the WHO recommended maternal healthcare (MCH) utilisation? Evidence from a national survey. BMC Pregnancy Childbirth 21, 161. 2021. pmid:33622274
- 32. Benefo KD. The mass media and HIV/AIDS prevention in Ghana. Journal of Health and Population in Developing Countries. 2004 May 5:1–8.
- 33. Lupton D. The use and value of digital media for information about pregnancy and early motherhood: a focus group study. BMC pregnancy and childbirth. 2016 Dec;16(1):1–0. pmid:27435182
- 34. Dadjo J., Ahinkorah B.O. & Yaya S. Health insurance coverage and antenatal care services utilization in West Africa. BMC Health Serv Res 22, 311 (2022). pmid:35255895
- 35. Aboagye R.G., Okyere J., Ahinkorah B.O. et al. Health insurance coverage and timely antenatal care attendance in sub-Saharan Africa. BMC Health Serv Res 22, 181 (2022). pmid:35148769
- 36. Kangbai DM, Bandoh DA, Manu A, Kangbai JY, Kenu E, Addo-Lartey A. Socio-economic determinants of maternal health care utilization in Kailahun District, Sierra Leone, 2020. BMC Pregnancy and Childbirth. 2022 Dec;22(1):1–3.
- 37. Racicot K, Kwon JY, Aldo P, Silasi M, Mor G. Understanding the complexity of the immune system during pregnancy. American Journal of Reproductive Immunology. 2014 Aug;72(2):107–16. pmid:24995526
- 38. Sserwanja Q, Musaba MW, Kamara K, Mutisya LM, Mukunya D. Status of the latest 2016 World Health Organization recommended frequency of antenatal care contacts in Sierra Leone: a nationally representative survey. BMC health services research. 2022 Dec;22(1):1–1.