Introduction
The World Health Organization recommends a minimum of eight antenatal care (ANC) 22
contacts, with the first visit occurring before the 12th week of gestation, as a strategy to enhance the 23
preparedness of women for institutional delivery and improve perinatal outcomes. The present study 24
aims to assess the prevalence of delayed ANC attendance among pregnant women in rural Burkina 25
Faso and identify associated risk factors. 26
Methods
This is a secondary analysis of clinical data collected from a randomised-controlled trial 27
(clinicaltrials.gov ref: NCT03199547); conducted between 2018 and 2021 in rural Burkina Faso. We 28
estimated gestational age (GA) at the first ANC visit based on recall information on the last menstrual 29
period provided by study participants or, when such information was unavailable, symphysis-fundal 30
height measurements taken by ANC nurses. We used descriptive methods followed by unadjusted and 31
adjusted logistic regression, informed by an original conceptual framework, to determine the 32
prevalence and risk factors associated with delayed first ANC visit, defined as occurring after the 12th 33
week of gestation. A significance threshold was set at 0.05. 34
Results
Out of the 5250 women enrolled in the study, 2480 (47.2%) had data available from their first 35
ANC visit, and 90.6% ( 2248/2480) of th ose women had gestational age estimates. Most women 36
(n=2037/2248, 9 0.6%) attended their first ANC after the 1 4th week of gestation. The main factors 37
associated with this delay were multiparity ≥ 4 pregnancies (OR=2.26, 95%CI [1.48 – 3.4], p < 0.001) 38
and first ANC visit attended during the dry season (OR=1.79, 95%CI [1.34 – 2.39], p < 0.001). 39
Conclusion
Our study highlights that most pregnant women in rural Burkina Faso attended their first 40
ANC visit later than the WHO recommended timeline , increasing their risk of poor delivery outcome . 41
Although we identified some factors that increased this risk of late ANC attendance, awareness raising 42
interventions are required for the whole population as starting late seems to be the norm. 43
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Introduction
44
The antenatal and peripartum periods carry significant risks of morbidity and mortality for both 45
mothers and their newborns. In 2020, the global maternal mortality rate (MMR) was 216 deaths 46
per 100,000 live births [1]. In sub-Saharan Africa (SSA), the MMR was substantially higher, at 47
536 maternal deaths per 100,000 live births [2]. Furthermore, the neonatal mortality rate (NMR) 48
in SSA was estimated at 27 deaths per 1,000 live births in 2021 and this accounted for 45% of 49
global neonatal deaths [3]. 50
Professional antenatal care (ANC) is crucial for improving pregnancy outcomes. The World 51
Health Organization (WHO) recommends a minimum of eight ANC contacts, with the first visit 52
occurring before 12 weeks of gestation or during the first trimester of pregnancy [4]. Early 53
attendance and regular ANC follow -ups play a crucial role in preventing and managing 54
maternal health problems and preparing women for institutional delivery [5–7]. Indeed, primary 55
risk factors for perinatal mortality can be identified during pregnancy, and the utilisation of at 56
least one early ANC visit by a skilled provider reduces the neonatal mortality rate by 39% in 57
SSA [7, 8]. A systematic review of 74 studies published between 2008 and 2018 across 23 58
countries in SSA, including West African nations (Burkina Faso, Nigeria, Benin, Ghana, and 59
Niger), revealed that more than two-thirds of pregnant women attended ANC late, and up to 1 60
in 14 had their first visit during the third trimester of pregnancy [9]. 61
Late ANC attendance is associated with perinatal complications and adverse birth outcomes 62
such as increased risk of stillbirth, low birth weight, neonatal mortality and preterm delivery [5, 63
10–12]. These serious outcomes are important public health challenges in Burkina Faso, with 64
31 preterm births per 1000 live births, and 22 stillbirths for 1000 total births in 2020 [13]. In 65
Burkina Faso, data from the Ministry of Health showed that the proportion of pregnant women 66
who attended ANC late varied across geographic areas, ranging from 52% to 74% in 2018 [14] 67
and approximately 60% in 2020 [13]. Despite the implementation of free health care policy in 68
Burkina Faso in 2016, which aimed to improve access to health care services coverage and 69
timing of ANC visits [15], there is no significant improvement of the situation [13]. To reduce 70
the perinatal mortality rate even with the free policy, it is necessary to assess the determinants 71
of late ANC attendance in order to be able to implement strategies to improve earlier ANC 72
attendance in line with the WHO recommendations that the first prenatal consultation should 73
be carried out during the first trimester (before 12 weeks of gestation) of pregnancy in an effort 74
to reduce perinatal mortality . Hence, it is important to determine the prevalence of delayed 75
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ANC attendance and assess its main determinants in rural Burkina Faso, in the context of a free 76
healthcare policy for pregnant women and lactating mothers. 77
Methods
78
Study design 79
This is a secondary data analysis of a descriptive cohort from the PregnAnZI -2 project 80
(clinicaltrials.gov ref: NCT03199547); the latter is a phase III, double-blind, placebo-controlled 81
randomised clinical trial conducted in The Gambia and Burkina Faso from 2017 to 2021. The 82
trial procedures were reported elsewhere [16]. Briefly, women were approached for consent 83
during ANC visits but were enrolled into the trial only during labour when oral intrapartum 84
azithromycin or placebo was administered, hence the allocation did not influence the attendance 85
or timing of ANC and both trial arms were included in this study. However, we have included 86
here only the Burkina Faso cohort as it is more representative of a rural West African population 87
compared to peri-urban Gambian participants. 88
Study site 89
Burkina Faso is a West African country with approximately 20 million inhabitants, where the 90
main livelihood is agriculture. There are two seasons: a dry season (November to May) and a 91
rainy season (June to October). Women of childbearing age represent 24.1% of the population, 92
with a fertility rate in 2020 of 5 children per woman [17, 18]. At the national level, in 2020 93
nearly three-quarters of pregnant women attended one ANC visit , and among them, one-quarter 94
attended during the first trimester of pregnancy [13]. Regarding adverse perinatal outcomes in 95
Burkina Faso, the stillbirth rate was 22 per 1000 live births, NMR of 64 per 1000 live births, 96
and MMR of 147 per 100,000 live births in 2020 [13]. Since 2016, all services offered at health 97
facilities are free of charge for pregnant women, lactating mothers, and children under 5 years. 98
The present study was conducted in the Nanoro Health District catchment area located at 99
approximately 85 km from Ouagadougou, the capital of Burkina Faso. This is a rural area with 100
ANC services provided by midwives at government primary health centres. 101
Participants 102
This study included pregnant women aged 16 and above recruited in the PregnANZI-2 trial and 103
who delivered at the study health facility with ANC services available. Women were excluded 104
if: they had a known acute or chronic condition (e.g. HIV infection, diabetes mellitus); had a 105
planned caesarean section or anticipated referral to a tertiary referral facility; known severe 106
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foetal congenital malformation; macrolide allergy or use of medication known to increase the 107
QT interval during two weeks preceding delivery [16]. 108
Study procedures 109
Written informed consent for participation in the PregnAnZI -2 trial was taken during ANC 110
visits and verbally confirmed during labour. Socio-demographic, epidemiological, and clinical 111
information were collected by trained research nurses during labour and the immediate post -112
partum period (typically 6 -24h after delivery) using the handheld Maternal and Child Health 113
book and maternal direct questioning, as per PregnAnZI-2 trial procedures [16]. 114
Outcome measures and variables of interest 115
The outcome of interest is a binary variable; delayed ANC attendance (yes or no) defined as 116
first visit after 1 4th week of gestation. This variable was generated using the gestational age 117
(GA) recorded during the first ANC visit to classify weeks of pregnancy. We estimated GA at 118
the first ANC visit based on recall information of the last menstrual period (LMP) provided by 119
study women or when such information was not recalled by the women, we used symphysis -120
fundal height measurements assessed by the government facility nurses. The correlation 121
between fundal height and the GA in weeks was previously reported to have a prediction error 122
ranging between 13.9 and 14.9 days [19]. Gold standard dating methods using first trimester 123
ultrasound scanning were not available either as part of routine antenatal care or in association 124
with PregnAnZI-2 trial. 125
To explore factors associated with delayed ANC attendance, we developed an original 126
conceptual framework based on the literature review and plausible associations (Figure 1). 127
Although existing frameworks exist for measuring ANC quality of care [20] and for ANC in 128
well-resourced settings [21], we did not identify any conceptual frameworks relevant to our 129
population of West African women living in a rural low-resource setting. Hence, we developed 130
an original one. The conceptual framework guided our choice of variables for the univariate, 131
unadjusted analyses and informed the development of adjusted analy tical models . The 132
categories for these variables were selected based on a preliminary analysis of the data to 133
consider small cell sizes, and similar outcomes in adjacent ordered or related categories. 134
135
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Data management and statistical analyses 136
All data were electronically captured using the REDCap software, version 8.9.2, with internal 137
validation and consistency checks. Descriptive statistics (percent age, mean , and standard 138
deviations) were performed to determine the prevalence of all independent variables. Logistic 139
regression was used to assess the association between each covariate and to generate crude odds 140
ratio and 95% confidence intervals (CI) . Variables with p -value < 0.20 from the unadjusted 141
analyses that were part of the conceptual framework were included in the adjusted models. A 142
p-value < 0.05 was considered as statistically significant. All analyses were conducted using 143
Stata 15. 144
Results
145
Characteristics of the study population 146
Overall, 42.8% (2248/5250) of enrolled women had available information regarding the timing 147
of their first ANC visit and were included in the analysis. Out of them, 1% recalled their LMP 148
and in the remaining 99% fundal heigh t measurements were taken by a study nurse. 149
Demographic and epidemiological characteristics of women included, and those who were not 150
included in the study were not statistically significant ly different, except that the included 151
women were slightly younger (Supplementary Table 1). For included women, mean age was 152
26.5 years, and more than half were multiparous . Around 58% of pregnant women attended 153
their first ANC during the dry season (November-May), 9% and 3% had history of miscarriage 154
and stillbirth respectively (Table 1). Overall, 2037/2248 (90.6%) of women attended their first 155
ANC visit after 1 4 weeks of gestation . The majority of these pregnant women (75.7%, 156
1701/2248) had their first ANC visit during the second trimester, and 14.9% (336/2248) during 157
the third trimester of their pregnancy (Figure 2). 158
Determinants of delayed ANC attendance 159
Parity and season of the first ANC visit were associated with delayed ANC attendance 160
according to the adjusted regression model. Multiparous women pregnant for fourth or more 161
time had an increased odds of starting ANC visits at > 14 weeks of gestation compared to 162
women in their second pregnancy (OR=2. 26 95%CI [1.48 – 3.35], p < 0.001). Women who 163
attended their first ANC visit during the dry season were more likely to attend after 14 weeks 164
of gestation compared to those attending for the first time during the rainy season (OR=1.7 9, 165
95%CI [1.3 4 – 2.39], p < 0.001) (Table 1). Even though , we found statistically significant 166
differences for the prevalence of delayed ANC attendance between parity groups, less than 15% 167
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of women within each parity group had their first ANC visit on time; and the same applies to 168
both seasons. 169
Discussion
170
This large cohort study highlights that most pregnant women in rural Burkina Faso do not attend 171
their first ANC visit before the 14th week of gestation, even after the implementation of a free 172
national healthcare policy. This delay occurs across all age groups, ethnic groups, parities and 173
seasons. 174
In our study, at least 9 0% of relatively healthy pregnant women living in rural Burkina Faso 175
attended their ANC visits after the 1 4th week of gestation, later than the WHO recommended 176
timeline. This figure exceeds the delayed ANC attendance previously reported from Burkina 177
Faso at national level (62.2% to 64.3%) [22]. Similar rates of late ANC attendance were 178
reported at another health district level (62.9%) located in the Cent re-North of Burkina Faso 179
[23]. Prevalence of delayed ANC attendance also varies between countries across West Africa, 180
ranging from 85.3% in Nigeria [24] to 57.7% in Ghana [25]. Elsewhere in Africa, delayed 181
ANC attendance rates are also a concern as reported in rural Ethiopia, Eastern Africa (60.5%) 182
[23, 26, 27], albeit not as high as observed in our study. 183
Reasons for the high prevalence of delayed ANC attendance in our rural West African study 184
population are likely multifactorial. Potential factors include local beliefs that revealing 185
pregnancy too early would result in miscarriage, financial constraints for transport to health 186
facilities, and limitation in the availability and quality of the ANC services. These issues are 187
not unique to Burkina Faso as they have been observed also in South Africa, Tanzania and other 188
African countries [28–30], as depicted in the framework. This framework could facilitate the 189
identification of factors for delay at first ANC visit in similar contexts for other studies. The 190
widespread delay in ANC attendance poses significant risks as it exposes pregnant women to 191
adverse pregnancy outcomes [31] by missing early preventive care and the timely identification 192
of maternal, foetal and obstetric complications. To address this, emphasising the importance of 193
early ANC visits both at health facility level and in the communities through primary health 194
workers could enhance awareness and promote earlier engagement with ANC services , as 195
demonstrated in Ethiopia [32] and Uganda [33], where pregnant women with knowledge of 196
appropriate ANC timings were more likely to initiate care timely. In Burkina Faso, despite free 197
ANC services, economic barriers such as the cost of specialised tests, transportation and the 198
indirect economic impact of time spent away from formal or domestic work still pose a 199
significant challenge. Innovative evidence -based solutions are needed to overcome these 200
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barriers and ensure more women can access timely to ANC. Also, introducing a more flexible 201
ANC schedule system could further improve the early attendance. 202
Although most women were late to their first ANC visit, we identified two important 203
determinants: multiparity and season of first ANC visit. Consistent with previous studies from 204
Ethiopia [32] and Nigeria [34], multiparous women in our study were more than twice as likely 205
to have delayed ANC attendance compared to women during their second pregnancy. A 206
possible explanation, supported by a qualitative study in Cameroon, is that women with 207
extensive previous experience of pregnancy gain confidence in their own ability to manage their 208
pregnancies and perceive early healthcare as less critical [35]. An alternative explanation could 209
be that attitudes were shaped by the women’s previous negative experiences in the health 210
facility, such as long waiting times and poor quality of care, as highlighted in a study from 211
Papua New Guinea [36]. 212
We observed an association between season of first ANC visit and timely attendance, with 213
increased risk of delay during the dry season. This finding may be linked to domestic work 214
demands for pregnant women, as reported in an Ethiopian study where the time constraints 215
linked to household activities represented more than 24% of reasons for delayed ANC 216
attendance [27]. During the dry season in rural Burkina Faso there are various cultural activities 217
which coincide with the harvest campaign, including mask dances and funeral ceremonies [37–218
39], hence women are busy with domestic duties and this may impact on the attendance of their 219
first ANC visit. Even though we identified two determinants of delayed first ANC visit, most 220
women were at risk of being late and therefore any intervention to improve early ANC 221
attendance should ideally target all of them. 222
This study has some limitations that need to be considered when interpreting the results. Firstly, 223
we used data from a selected population participating in a randomised controlled trial, which 224
could have introduced potential bias by excluding women with serious health problems or those 225
not willing to participate. Secondly, gestation al age was estimated using inaccurate measures 226
(last menstrual period and symphysis -fundal height), limiting the accuracy of the estimations 227
and potentially misclassifying the primary outcome. However, we mitigated this risk by using 228
an established method with precision of 2 weeks to minimise the misclassification errors. A 229
third limitation is the selection bias towards pregnant women with available data to estimate 230
the gestational age. However, comparison of baseline characteristics for included and excluded 231
pregnant women did not identify any major differences in their characteristics , hence bias is 232
assumed to be minimal . Lastly, as this analysis used an existing dataset, we were unable to 233
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assess all potential variables associated with delayed ANC attendance . Hence, there is a need 234
for further qualitative and quantitative research to understand determinants of timely attendance 235
of ANC for rural West African populations. 236
Conclusion
237
Our study identified a very high proportion of pregnant women in rural Burkina Faso attending 238
their ANC visits later than the WHO recommended timeframe with multiparity and dry season 239
the main determinants of delayed ANC initiation . This delay poses significant public health 240
concerns by limiting the opportunities for maternal and antepartum preventive services. Merely 241
providing free access to ANC or implementing national policies has proven to be insufficient 242
in ensuring women starting their ANC on time. There is a pressing need for further research to 243
understand the context-specific reasons behind these delays to optimise maternal and perinatal 244
health outcomes effectively. 245
DECLARATIONS 246
Ethics approval and consent to participate 247
The trial was approved by the ‘’Comité d’Ethique pour la Recherche en Santé (CERS)’’ and the Ministry 248
of Health of Burkina Faso, The Gambia Government/MRCG (Medical Research Council Unit The 249
Gambia) Joint Ethics Committee and the LSHTM Ethics Committee. All women provided written 250
informed consent during antenatal care visits and were free to withdraw at any time. 251
Consent to publish 252
Not applicable. 253
Availability of data and materials 254
Data may be obtained from a third party and are not publicly available. Qualified researchers may 255
request access with the Gambia Government/MRC Joint Ethics Committee. The review process and 256
release of data will be facilitated by MRC Unit The Gambia (http://www.mrc.gm/) through the Head of 257
Governance at MRCG. Access will not be unduly restricted. 258
Competing interests 259
The authors declare that they have no competing interests. 260
Funding 261
The PregnAnZI-2 trial was funded by a grant from the UKRI under the Joint Global Health Trial Scheme 262
(JGHT) (ref: MC_EX_MR/P006949/1) and the Gates Foundation (Ref: OPP1196513). The funders and 263
study sponsor (MRCG) had no role in the study design, collection, analysis, or interpretation of data, 264
writing of the article nor the decision to submit for publication. 265
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Authors’ contributions 266
J.D.B. conceptualised this study with input from U .dA., H .B., H .T., A .R. Data collection was 267
coordinated by J .D.B., and PregnAnZI-2 field teams in Burkina Faso. J .D.B. performed the analysis 268
with full access to the data and input from T .R. J.D.B. drafted the initial manuscript with input from 269
H.B., A.R., H.T., T.R., A.M.S., G.J.W.N., E.Y.S, D.L. All authors contributed to the final version. H.T. 270
and A.R. gave oversight to the work as guarantors and accepted full responsibility for the finished work 271
and controlled the decision to publish. 272
Acknowledgements
273
The authors wish to thank Medical Research Council Unit, The Gambia at LSHTM for allowing 274
access to the data, the research staff, and all the participants of Nanoro health district for accepting to 275
take part in the study.276
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Figures 405
406
407
Figure 1. Conceptual framework to understand determinants of pregnant women’s timely use 408
of antenatal care services 409
410
411
Figure 2: Flowchart showing the inclusion of relatively healthy pregnant women in the study.412
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Tables 413
Table 1: Characteristics associated with delayed ANC attendance in rural Burkina Faso. 414
Total Delayed ANC visit attendance Unadjusted analysis Adjusted analysis
Characteristics Total
2248 (100%)
No
211 (9.4%)
Yes
2037 (90.6%) OR CI 95% p-value OR CI 95% p-value
Age of the pregnant
woman (Years)
0.01* 0.28
Age (mean, SD) 26.51 (6.33) 24.49 (5.69) 26.72 (6.35)
20 – 35 1,680 (74.73) 159 (9.46) 1521 (90.54) 1 1
15 – 19 362 (16.11) 43 (11.88) 319 (88.12) 0.77 [0.54 -1.10] 1.33 [0.81 – 2.20]
> 35 206 (9.16) 09 (4.37) 197 (95.63) 2.28 [1.15 – 4.55] 1.49 [0.73 – 3.05]
Mothers’ ethnicity 0.37
Mossi 2,077 (92.39) 197 (9.48) 1,880 (90.52) 1
Gurunsi 144 (6.41) 10 (6.94) 134 (93.06) 1.40 [0.72 – 2.71]
Others 27 (1.20) 4 (14.81) 23 (85.19) 0.60 [0.20 – 1.75]
Husbands’ ethnicity 0.55
Mossi 2,070 (92.08) 197 (09.52) 1,897 (90.48) 1
Gurunsi 143 (6.36) 10 (06.99) 133 (93.01) 1.39 [0.72 – 2.70]
Others 35 (1.56) 4 (11.43) 31 (88.57) 0.81 [0.28 – 2.33]
Period of the ANC visit
commencement
< 0.001* < 0.001
Rainy (June-October) 947 (42.13) 116 (12.25) 831 (87.75) 1 1
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Dry (November-May) 1,301 (57.87) 95 (7.30) 1,206 (92.70) 1.77 [1.33 – 2.35] 1.79 [1.34 – 2.39]
Parity < 0.001* < 0.001
Para 2 347 (15.44) 43 (12.39) 204 (87.61) 1 1
Primiparous 438 (19.48) 59 (13.47) 379 (86.53) 0.90 [0.59 – 1.38] 0.77 [0.46 – 1.27]
Para 3 335 (14.90) 44 (13.13) 291 (86.87) 0.93 [0.59 – 1.46] 0.93 [0.59 – 1.47]
Para ≥ 4 1,128 (50.18) 65 (5.76) 1,063 (94.24) 2.31 [1.54 – 3.47] 2.26 [1.48 – 3.45]
History of miscarriage 0.23
No 2,043 (90.88) 187 (9.15) 1,856 (90.85) 1
Yes 205 (9.12) 24 (11.71) 181 (88.)29 0.65 [0.59 – 4.58]
History of stillbirth 0.33
No 2,181 (97.02) 207 (9.49) 1,974 (90.51) 1
Yes 67 (2.98) 4 (5.97) 64 (94.03) 1.96 [0.61 – 6.31]
* Variables included in the adjusted model. 415
Abbreviations: ANC = Antenatal care; CI = Confidence interval; OR = Odds ratio; SD = Standard deviation 416
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