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OJHAS Vol. 7, Issue 1: (2008
Jan-Mar) |
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Late Antenatal Care Booking And Its Predictors Among Pregnant Women In South Western Nigeria |
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Adekanle DA,
Isawumi AI, Department of Obstetrics and
Gynaecology, College of Health Sciences, Ladoke Akintola University
of Technology, P M B 4400, Osogbo, Osun State, Nigeria. |
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Address For Correspondence |
Dr. D.A Adekanle, Department of Obstetrics and
Gynaecology, College of Health Sciences, Ladoke Akintola University
of Technology, P M B 4400, Osogbo, Osun State, Nigeria
E-mail:
adekanle2000@yahoo.co.uk |
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Adekanle DA,
Isawumi AI. Late Antenatal Care Booking And Its Predictors Among Pregnant Women In South Western Nigeria. Online J Health Allied Scs. 2008;7(1):4 |
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Submitted May 26, 2007; Suggested
revision Jan 28, 2008; Resubmitted Feb 7, 2008; Accepted:
Mar 18, 2008; Published: Apr 10, 2008 |
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Abstract: |
Introduction: Antenatal
care is concerned mainly with prevention, early diagnosis and treatment
of general medical and pregnancy associated disorders. For it to be
meaningful, early booking is recommended, however, late booking is still
a major problem.
Objective:
To determine the prevalence of late booking in our environment and factors
related to it.
Methodology:
A descriptive cross-sectional study using structured interviewer assisted
questionnaires.
Results: Mean
gestational age at booking was 20.3±6.2 weeks. Prevalence of late entry
to antenatal care was 82.6%. Maternal education and age remained significant
factors influencing late booking.
Conclusion:
Late booking is still a major problem in this part of the world. Public
enlightenment, health education coupled with women empowerment would
be helpful in reducing the problem
Key Words:
Antenatal care, Late booking, Gestational age, Risk factors |
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Early entry
to antenatal care (ANC) is important for early detection and treatment
of adverse pregnancy related outcomes. Antenatal care evolved over a
period of about a century, with the trend changing gradually from in-patient
to out-patient form of care that we have today.1,2 This
form of care for pregnant women has become an important pillar in the
safe motherhood programme, as the aim is to improve the outcome of pregnancy
for both the mother and the fetus.2,3 The usual recommendations
nowadays is for booking (first antenatal visit) to take place in early
pregnancy, prior to 14 weeks. The World Health Organization (WHO) recommends
that pregnant women in developing countries should seek ANC within the
first 4 months of pregnancy.4 In developed countries such
as the United Kingdom and the United States, ANC is recommended within
the first 12 weeks of pregnancy.5,6
Early booking,
makes fairly accurate dating feasible, especially in women who are unsure
of their last menstrual period, certain baseline measurements, such
as blood pressure, body mass index and urinalysis done at this gestational
age give a fair idea of the pre-pregnancy state of the patient.7,8
Various studies
have reported factors associated with late entry to ANC , these include
place of residence 9-11, ethnicity 12, age
10, education 11,13,14, employment status12,15,
parity 10- 12,14, intention to get pregnant 9,12,
use of contraceptive method 12, economic status 9,12,13,
health insurance 9-11,13,16 and travel time.9
However, in
spite of advantages of early booking, late booking is common in the
developing world.17,18 Studies from Benin and Sokoto, in
other regions of Nigeria showed that mean gestational ages at booking
among the pregnant women were 23.7 and 23.55 weeks, respectively.17,18
The aims of
this study were to assess the proportion of pregnant women who booked
late for Antenatal care in South Western Nigeria during calendar year
2006 and to identify factors related to late booking.
Structured questionnaires were
administered to willing pregnant women attending antenatal clinic at
Ladoke Akintola University Teaching Hospital, State Hospital and Primary
health Centre, Osogbo, Nigeria. Ethical approval was obtained from ethical
committee of the institution and verbal consent was also obtained from
the participants. Descriptive statistics was used, mean and standard
deviation for continuous variables and frequency for categorical variables.
Test of association was carried out using chi-square. Multivariate
stepwise logistic regression was performed to identify significant predictors,
all at 5% level of significance. Data analyses was done using SPSS version
10 (Statistical Package for Social Sciences, SPSS Inc., Chicago, IL,
USA).
Four hundred
and eighty questionnaires were administered, four hundred and seventy
(97.9%) were returned. Mean age of the respondents was 28 ± 4.6 years
(17 - 41). Eighty four (18.5%) booked within 13 weeks of gestation while
majority, 370(81.5%) booked after 13 weeks. Mean gestational age at
booking was 20.3 ± 6.2 weeks. Three hundred ninety three(83.6%) were
in monogamous union and sixty four (14.0%) were polygamous. Three hundred
and eighty-eight (82.6%) were carrying singleton fetus, 22(4.7%) multiple
pregnancies and 60(12.8%) were unsure.
Majority, 324(69.3%)
of the respondents were aged 25 - 34 years and were mostly Yoruba of
ethnic group,443(92.5%). Most, 215(46.2%) had secondary education while
majority, 207(44.6%) were self-employed. Three hundred and thirty one
(70.4%) were multiparous while the remaining 139(29.6%) were nulliparous women (Table 1).
Table 1.Socio-demographic
characteristics.
Variables |
Number |
Percentage |
Age(year) |
|
|
≤ 19 |
13 |
2.8 |
20 - 24 |
88 |
18.9 |
25 - 29 |
185 |
39.8 |
30 - 34 |
139 |
29.5 |
≥ 35 |
40 |
8.6 |
Tribes |
|
|
Yoruba |
443 |
92.5 |
Ibo |
24 |
5.1 |
Hausa |
3 |
0.6 |
Other tribes |
8 |
1.7 |
Religion |
|
|
Christianity |
243 |
52.0 |
Islam |
221 |
47.3 |
Others |
3 |
0.6 |
Educational
Status |
|
|
None |
50 |
0.8 |
Primary |
139 |
29.9 |
Secondary |
215 |
46.2 |
Tertiary |
61 |
13.1 |
Employment
Status |
|
|
Government
employed |
86 |
18.5 |
Private employed |
47 |
10.1 |
Self-employed |
207 |
44.6 |
Unemployed |
63 |
13.6 |
Students |
61 |
13.1 |
Husband’s
Educational Status |
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|
None |
18 |
3.9 |
Primary |
22 |
4.8 |
Secondary |
144 |
31.6 |
Tertiary |
272 |
59.6 |
Parity |
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|
Para 0 |
139 |
29.6 |
Para 1 and
above |
331 |
70.4 |
On bivariate
analysis, those who earned lesser income were more likely to book late
compared to those who earned more,(p < 0.01). So also, those were
less than 25 years, 91(91.1%) were significantly likely to register
late compared to those that were older, 276(78.9%), p < 0.01.
Those who had
no previous caesarean delivery, 262(81.9%) would more likely book late
compared to those with previous caesarean section, 33(75.0%), p >
0.05. Those who had no complaints in index pregnancy, 321(82.1%) booked
later than those who had complaints, 28(73.7%), p > 0.05. Those who
had no problems in the last delivery, 246(81.7%) were more likely to
book late compared to those who had problems, 50(75.8%), p > 0.05.
Those in polygamous union, 107(78.7%) were more likely to register late
compared to those who were in monogamous union, 307(80.8%), p > 0.05.
Multiparous women were more likely book late compared to Nulliparous
women, 107(78.7%), p > 0.05. Those who had primary school education
or none, 152(85.4%) were more likely to register late compared to those
who had secondary school education and above, 215(79.3%), p > 0.05.
Pregnant women whose husband had primary school education or none, 33(86.8%)
would more likely book late compared to those whose husband had secondary
school education and above, 325(81.0%), p > 0.05 (Table 2).
Table 2. Factors influencing
late entry into antenatal care.
Variables |
Gestational Age ≤ 13 weeks |
Gestational Age > 13 weeks |
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Number(%) |
Number(%) |
χ2 |
df |
P value |
Problems
in last delivery |
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Yes |
16(24.2) |
50(75.8) |
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No |
55(18.3) |
246(81.7) |
1.24 |
1 |
0.266 |
Previous
Caesarean section |
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Yes |
11(25.0) |
33(75.0) |
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No |
58(18.1) |
262(81.9) |
1.19 |
1 |
0.275 |
Problems
in index pregnancy |
|
|
|
|
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Yes |
10(26.3) |
28(73.7) |
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No |
70(17.9) |
321(82.1) |
1.62 |
1 |
0.204 |
Income per
month(US dollars) |
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|
< 40 |
10(10.5) |
85(89.5) |
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40 - 80 |
18(17.5) |
85(82.5) |
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80 - 120 |
15(21.4) |
55(78.6) |
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|
> 120 |
25(35.2) |
46(64.8) |
16.06 |
3 |
0.007 |
Type of Family |
|
|
|
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Monogamy |
73(19.2) |
307(80.8) |
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Polygamy |
7(11.5) |
54(88.5) |
2.12 |
1 |
0.146 |
Parity |
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Para 0 |
29(21.3) |
107(78.7) |
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|
Para
≥ 1 |
55(17.3) |
263(82.7) |
1.03 |
1 |
0.311 |
Educational
Status |
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|
Primary and
below |
26(14.6) |
152(85.4) |
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|
Secondary
and above |
56(20.7) |
215(79.3) |
2.64 |
1 |
0.104 |
Husband’s
Educational Status |
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|
|
Primary and
below |
5(13.2) |
33(86.8) |
|
|
|
Secondary
and above |
76(19.0) |
325(81.0) |
0.775 |
1 |
0.379 |
Age(years) |
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|
|
|
|
< 25 |
8(8.1) |
91(91.9) |
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|
≥ 25 |
74(21.1) |
276(78.9) |
8.82 |
1 |
0.003 |
χ2
= Chi-square; df = degree of freedom
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After adjusting
for other factors, pregnant women who had primary school education or
none were more likely to book late compared to those who had secondary
school education and above (OR = 2.6, 95% CI, 1.28 – 5.38). Those
women who were aged less than 25 years were more likely to register
late compared to those who were older (OR = 8.3, 95% CI, 1.10 – 62.65)(Table
3). Table 3. Multivariate analyses
of factors associated with late booking.
Variables |
Crude OR(95% CI) |
Adjusted OR(95%
CI) |
Problems
in last delivery |
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Yes |
1 |
1 |
No |
1.431(0.759 – 2.699) |
2.042(0.933 – 4.472) |
Educational
Status |
|
|
Secondary
and above |
1 |
1 |
Primary and
below |
1.522(0.915 – 2.533) |
2.631(1.287 – 5.378)** |
Maternal
age(years) |
|
|
< 25 |
1 |
1 |
≥ 25 |
3.050(1.416 – 6.5.66)** |
8.306(1.101 – 62. 653)* |
* p < 0.05; ** p < 0.01; OR = Odd ratio; CI = Confidence interval
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The study attempted
to assess the prevalence of women who entered antenatal care (ANC) late
in South Western Nigeria in 2006 and identify related factors. Eighty
one percent of women entered ANC after 12 weeks of gestation. This was
double the Australian study in 2004,20 but similar to studies
reported in other parts of the country.19 The mean gestational
age at booking was still very high but slightly lower than reports from
studies in other parts the country.17,19 This is far away
from the recommendation of World Health Organization thus the benefits
of early booking is not yet well appreciated.
Our results
were similar to the findings from other studies on significance of age10,
and maternal education.11 Women that were less than 25 years
old, were less educated, earning lesser income and more unemployed than
the older women and were more likely to register late; though after
adjusting for other factors, income became insignificant, this may still
be due to traditional practice of late booking in this environment due
to the belief that since pregnancy is not a diseased condition, thus
reason for indifference to early booking. Women that had lower education
or none booked later than those with higher education, this agrees with
studies in developed countries11,13,14 better educated women
would likely appreciate the importance of early booking more than the
less educated ones. This emphasizes the importance of education on antenatal
care. Previous obstetric complications such as still birth, eclampsia,
intrauterine fetal death; and caesarean section have no influence on
gestational age at booking which were also reported in another study
in the country.19 This might be due to the negative effect
of ignorance which had been demonstrated in vicious circle of disease,
ignorance and poverty.
In contrast
to other studies in the country, illness in index pregnancy and nulliparity
that were found to be significantly associated with early booking had
no influence on gestational age at booking in this study,17,19
this might be due to poor counseling of those who had illness in the
index pregnancy by the health workers they first had contact with which
were usually in low cadres that may not necessarily have midwifery skill.
Traditionally, nulliparous women in our environment would first seek
counseling from multiparous women who were considered to be more experienced
and would eventually in most instances discourage early booking as seen
in this study.
In conclusion,
late booking still remain significantly high in our environment indicating
that the importance of early booking is yet to be appreciated. Maternal
education and age which had been associated with better income earning
had been found to improve booking status. There is need for public enlightenment
and incorporation of the benefits of early booking in the routine antenatal
health education. Women empowerment through qualitative education and
gainful employment were also major factors that would contribute significantly
to early booking.
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