International Journal of Community Medicine and Public Health
Patel NA et al. Int J Community Med Public Health. 2017 Dec;4(12):4569-4576
http://www.ijcmph.com
Original Research Article
pISSN 2394-6032 | eISSN 2394-6040
DOI: http://dx.doi.org/10.18203/2394-6040.ijcmph20175332
Birth preparedness: studying its effectiveness in improving maternal
health in urban slums of Jamnagar, Gujarat
Neha A. Patel1*, J. P. Mehta2, Sumit V. Unadkat2, Sudha B. Yadav2
Department of Community Medicine, 1GMERS Medical College, Valsad, 2M. P. Shah Medical College, Jamnagar,
Gujarat, India
Received: 21 September 2017
Revised: 30 October 2017
Accepted: 31 October 2017
*Correspondence:
Dr. Neha A. Patel,
E-mail: dr.neha1399@gmail.com
Copyright: © the author(s), publisher and licensee Medip Academy. This is an open-access article distributed under
the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial
use, distribution, and reproduction in any medium, provided the original work is properly cited.
ABSTRACT
Background: Maternal health and healthy outcome of a pregnancy are the core focus of all the programmes related to
maternal and child health. Most of the causes of maternal morbidity and mortality are preventable. So we need to
introduce new strategies according to the need of beneficiaries to reduce the underlying causes which ultimately lead
to morbidities or complications during pregnancy. Birth preparedness is a kind of strategy which can help the mothers
to plan out their pregnancy to combat the complications arising during pregnancy, childbirth or puerperium. The aims
and objectives were to study the birth preparedness amongst the women, to study effect of various socio demographic
determinants on birth preparedness and to find out relation between maternal morbidity and mortality with birth
preparedness.
Methods: Cross sectional study was conducted in Jamnagar. 450 women were selected by 30 cluster sampling. Data
analysis was done with Microsoft office Excel and SPSS 20, Chi square test was applied.
Results: 11.33% women were fully prepared, 67.33% were partially prepared while 96 women were not prepared at
all. Education, place of delivery, parity and knowledge of danger signs has statistically significant association with
birth preparedness in cases of both maternal mortalities, women were not at all prepared.
Conclusions: Birth preparedness practices need to be improved. Education, parity, place of delivery, knowledge
about danger signs are associated with birth preparedness practices. Birth preparedness can help in decreasing
maternal morbidities and mortalities.
Keywords: Birth preparedness, Maternal morbidity, Verbal autopsy
INTRODUCTION
Maternal health and healthy outcome of a pregnancy are
the core focus of all the programmes related to maternal
and child health. Most of the causes of maternal
morbidity and mortality are preventable. So we need to
introduce new strategies according to the need of
beneficiaries to reduce the underlying causes which
ultimately lead to morbidities or complications during
pregnancy. Birth preparedness is a kind of strategy which
can help the mothers to plan out their pregnancy to
combat the complications arising during pregnancy,
childbirth or puerperium.
The global standard for maternal and neonatal care issued
by WHO in 2006 recommended that all pregnant women
should have a written plan for birth and for dealing with
unexpected adverse events in deliveries or immediately
after birth. This plan should be discussed with skilled
attendant at each antenatal visit or at least one month
before delivery.1
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Patel NA et al. Int J Community Med Public Health. 2017 Dec;4(12):4569-4576
According to SRS 2010-2013 MMR in India was 178/1
lac live births.2
According to a study by Hogan et al, India’s Maternal
Mortality per 1 lac live birth was 200-299/1 lac live
births.3
Lack of advance planning for use of a skilled birth
attendant for normal births, and particularly inadequate
preparation for rapid action in the event of obstetric
complications, are well documented factors contributing
to delay in receiving skilled obstetric care.4
Birth preparedness has been globally endorsed as an
essential component of safe motherhood programs to
reduce delays for care.4
The determinants of maternal health and mortality
interact to produce a complex set of circumstances that
involve clients, communities, the health system, and the
government. These dynamics become urgent when a lifethreatening obstetric emergency occurs.
The delay model (Thaddeus and Maine, 1994) outlines
the three delays in obtaining emergency obstetric care
and provides an elegant example of these interactions:5,6
Delay one
Recognizing danger signs and deciding to seek care are
influenced by a woman’s knowledge of pregnancyrelated health risks and by her ability to access the
resources of her family and community. Poor families in
communities with limited information and resources tend
to delay decision making or make inappropriate choices
when complications arise.
Delay two
Reaching appropriate care is exacerbated for poor rural
women and their families, who tend to face higher and
less predictable costs of emergency transportation
because of distance and poor infrastructure.
Delay three
Receiving care at health facilities is influenced by
economic status, discrimination based on gender or ethnic
prejudice, and availability of providers. Poor families
often have to borrow money to pay up front when
complications arise. Frequently, households do not have
ready access to sufficient cash in time, and often, credit is
withheld for needed supplies, medications, and services.
By utilizing this three delay model the concept of birth
preparedness has been developed.
Key elements of birth preparedness include:
8
Attending antenatal care at least four times during
pregnancy (1st Delay)
Identification of Danger signs of pregnancy (1st
delay)
Identifying a skilled provider and making a plan for
reaching the facility during labour; (Transportation)
(2nd delay)
Setting aside personal funds to cover the costs of
travelling to and delivering with a skilled provider
and any required supplies (3rd Delay)
Birth preparedness involves not only the pregnant
woman, but also her family, community and available
health staff. The support and involvement of these
persons can be critical in ensuring that a woman can
adequately prepare for delivery and carry out a birth plan.
Medical researchers have established the certainty of at
least 15% of all pregnant women who will experience a
life-threatening complication. Medical solutions on
treating these complications as soon as they occur have
also been found. The gulf between the occurrence of
complication and treatment is, however, obstructed by
access, distance, ignorance of danger signs, superstitious
beliefs, inadequate investment in emergency obstetric
care (EmOC) services, and above all, entrenched gender
biases that wrest away women's basic rights, including
the right to make decisions concerning their own life. 9
METHODS
Quantitative method
A cross sectional community based study was conducted
in urban slums of Jamnagar Municipal Corporation Area
from August 2010 to December 2011. By using Cluster
sampling technique 30 clusters were selected and 15
women from each cluster were interviewed who had
delivered in last 1 year. The study was carried out by
undertaking house to house visits of the area of each
cluster. From a random direction in each cluster, study
was started by asking the family if there was any woman
who had delivered in last one year (1st September 2009 to
31st August 2010- women who delivered in that duration).
Sample size is calculated by formula n= 4pq/l2, Where,
n= required sample size
p=proportion or prevalence of interest
q=100-p
l=allowable error (10 – 20%)
An anticipated P value is taken as 50% as per WHO
practical manual on sample size determination in health
studies by Lwanga and Lemeshow.10
p is taken as 50%, so as q=50%. If L=10%,
Then, sample size would be…..
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Patel NA et al. Int J Community Med Public Health. 2017 Dec;4(12):4569-4576
= 400
n=
Non-response rate/loss of sample = 10% of sample size
So, total sample size comes out to be 440 for the study.
To make round figure, 450 study subjects were chosen.
A pretested semi-structured Performa was used to collect
the data through oral questionnaire by visiting them at
their home. Prior verbal consent was taken from study
subjects. The data entry was done in Microsoft Office
Excel 2007. Analysis was done by the use of Medcalc
10.4.8.0., SPSS version 20 and Microsoft office Excel
2007. Prior approval from ethical committee was taken.
Qualitative method
Community based maternal death review (CBMDR) was
done with the help of verbal autopsy tool, which was
designed with the help of Verbal Autopsies for Maternal
deaths by WHO.11 In depth interview of
respondent/caretaker of the deceased was taken using
structured questionnaire to identify the delay using three
delay model and also to elicit cause of death. During data
collection if any house was identified having maternal
death in last one year was included in study. Verbal
consent was taken prior to the interview. Total 2 Maternal
deaths were identified and studied.
Birth preparedness
Fully prepared: Women who had identified place for
delivery, arranged transportation for emergency
conditions and saved money for the same are called
fully prepared women.
Not prepared: Women who had not identified place
of delivery, not arranged transportation and also not
saved money are called not prepared.
Partially prepared: Women who were not fully
prepared, but did any kind of arrangement from the
three (place of delivery, saving of money,
transportation) are called partially prepared.
Inclusion criteria
Married women who have child less than 1 year
Exclusion criteria
Antenatal women and those who denied to participate in
study.
RESULTS
The mean age of study subjects was 24.84 years.
Amongst them 49% were 20-25 years old.77.34% were
Hindus while others were Muslims. 47.7% women were
educated till primary. Only 5.11% were graduates.
72.45% women were from lower socio economic class
according to Prasad’s classification.
99% women had taken antenatal visits.59.1% women had
consumed IFA tablets for more than 100 days during
their last pregnancy, while 96.9% women had received
two doses of TT during antenatal period. 61.77% women
had knowledge regarding danger signs of pregnancy.
Birth preparedness of women
Fully prepared
21.34%
11.33%
67.33%
Partially
prepared
Not prepared
Figure 1: Distribution of women according to their
birth preparedness.
Figure 1 shows that only 11.33% women were fully
prepared before the delivery. 303(67.33%) women were
partially prepared and rest 96 women were not at all
prepared for delivery and complications.
About the Birth preparedness, the study revealed that
almost three fourth of the women, i.e. 76.44% had
identified the place of delivery where they are going to
deliver, While delivery only one third women, 37.56%
had saved money for delivery and emergency due to
complications. Only 15.56% women had managed a
vehicle for emergency situation or for labour (Table 1).
Table 1: Distribution of women according various
components of Birth preparedness during last
pregnancy.
Components of birth
preparedness
Identified place of delivery and
attendant
Saved money
Prepared vehicle
Frequency (%)
344 (76.44)
169 (37.56)
70 (15.56)
Table 2: Distribution of women according to place of
last delivery (n=450).
Place of delivery
Government hospital
Private hospital
Home delivery
Quack
Total
Frequency (%)
227 (50.45)
151 (33.55)
46 (10.22)
26 (5.78)
450 (100)
In the present study, from the 404 women who delivered
in health facility, two third of the women i.e.67.58% had
distance of <5 km from the health facility, 28.21% and
4.21% had distance of 5-10 km and >10 km respectively.
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In the present study, 378 (84%) women had institutional
deliveries, while 72 (16%) women had deliveries either at
home or at quack. 50.45%, 33.55% and 10.22% women
had delivered in Government hospitals, private hospitals
and at home respectively, while 5.78% women delivered
at Quack (Table 2).
Table 3: Distribution of women according to mode of transportation used to reach health facility during labour
(n=404).
Mode of transportation
Rickshaw
Chhakada
Car/taxi/van/private car
Walking
Bike/bus
108
Total
Frequency (%)
315(77.97)
32(7.92)
25(6.18)
20(4.95)
7/1(1.98)
4(1)
450(100)
Table 4: Association between different variables and birth preparedness (n=450).
Variable
Birth Preparedness
Fully prepared
Partially prepared
Any morbidity
Yes
37 (72.5)
No
14 (27.5)
Total
51 (100)
History of previous abortion
No abortion
41 (78.8)
1
9 (17.4)
2
1 (3.8)
3
0 (0)
51 (100)
Education of women
Illiterate
7 (4.9)
Primary
20 (9.3)
Secondary
8 (14.6)
Higher secondary
4 (28.6)
Graduate & above
12 (52.2)
Total
51 (11.33)
Place of last delivery
Govt. hospital
20 (8.8)
Private
28 (18.5)
Quack
3 (11.53)
Home
0 (0)
Total
51 (11.33)
Knowledge about danger signs
Yes
35 (68.6)
No
13 (25.5)
Prompted
3 (5.9)
Total
51 (100)
Parity
1
24 (47)
2
16 (31.4)
3
9 (17.6)
4
2 (3.9)
>=5
0 (0)
Total
51 (100)
Total
P value
Not prepared
199 (65.7)
104 (34.3)
303 (100)
66 (68.8)
30 (31.2)
96 (100)
302 (67.11)
148 (32.89)
450 (100)
P=0.582
χ2=1.083
df=1
245 (80.9)
48 (15.8)
7 (2.3)
3 (1)
303 (100)
78 (81.3)
18 (18.7)
0 (0)
0 (0)
96 (100)
364 (80.9)
75 (16.7)
8 (1.8)
3 (0.6)
450 (100)
P=0.668
χ2=4.061
df=6
89 (62.2)
153 (71.2)
40 (72.7)
10 (71.4)
11 (47.8)
303 (67.33)
47 (32.9)
42 (19.5)
7 (12.7)
0 (0)
0 (0)
96 (21.34)
143 (100)
215 (100)
55 (100)
14 (100)
23 (100)
450 (100)
P<0.000
χ2=65.672
df= 8
183 (80.6)
104 (68.9)
12 (46.2)
4 (8.7)
303 (67.33)
24 (10.6)
19 (12.6)
11 (42.4)
42 (91.3)
96 (21.34)
227 (100)
151 (100)
26 (100)
46 (100)
450 (100)
P<0.000
χ2=173.310
df=6
131 (43.2)
105 (34.7)
67 (22.1)
303 (100)
34 (35.4)
54 (56.3)
8 (8.3)
96 (100)
200 (44.5)
172 (38.2)
78 (17.3)
450 (100)
P<0.000
χ2=32.243
df=4
140 (46.2)
93 (30.7)
45 (14.9)
18 (5.9)
7 (2.3)
303 (100)
26 (27.1)
27 (28.1)
23 (24)
10 (10.4)
10 (10.4)
96 (100)
190 (42.2)
136 (30.2)
77 (17.1)
30 (6.7)
17 (3.8)
450 (100)
P=0.001
χ2=31.026
df=8
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Table 5: Study of components of birth preparedness in cases of maternal deaths.
Variables of deceased
Age
Education
Gravida
Para
Abortion
Type of delivery
Place of delivery
Last delivery
Person who conducted delivery
Time of death
Place where she died
Cause of death (29)
Distance of health facility
In seeking care
In arriving at appropriate level of care
Delay
In receiving care at institution
Case 1
30
4th standard
3
2
1
Normal
Home
Trained dai
7th day of delivery
In hospital
Puerperal sepsis and severe
anaemia
60 km.
The present study revealed that, from the women who
had delivered at health facility, almost three fourth
i.e.77.97% women had used Rickshaw for reaching
health facility. 7.92%, 6.18%, 1.98% and 1% women
used Chhakada, private vehicle, bike and 108
respectively. 4.95% women went to health facility by
walking (Table 3).
Knowledge of women regarding danger signs
of pregnancy (n=278)*
100
% of women
60
89.2
71.22
54.67
20
0
Postpartum haemorrhage
60 km
regarding danger signs (p<0.000) and parity (p=0.001)
has statistically significant association with Birth
preparedness practices. Women who were fully prepared
had higher morbidity than those who were not prepared
i.e. 72.54% and 68.75%. Partially prepared women had
morbidity of 65.67%.The difference is statistically not
significant. The reason might be that the women who had
experienced any kind of maternal morbidity were more
prepared to combat the complications. History of
previous abortion also has no association with Birth
preparedness practices (Table 4).
By conducting verbal autopsy of maternal death it was
found that both women were not at all prepared. Case 1
had delay 3 (In receiving care at institution) and case 2
had delay 2 (In arriving at appropriate level of care)
(Table 5).
80
40
Case 2
40
Illiterate
8
8
0
Normal
Home
Untrained dai
Within 3 hours of delivery
On the way to hospital
9
6.47
3.24
Figure 3: Knowledge of women regarding danger
signs of pregnancy.
Amongst the women who had knowledge regarding
danger signs of pregnancy, only 7 (2.5%) women had
knowledge regarding all the danger signs. Majority of the
women had knowledge about Bleeding per vagina
248(89.20%), leaking P/V (PRM) (71.22%) and foetal
distress (54.67%). While very few women had
knowledge regarding convulsion (9%), blurring of vision
(6.47%) and headache (3.24%) (Figure 2).
Amongst the variables studied, education of women
(p<0.000), place of last delivery (p<0.000), knowledge
DISCUSSION
In a study of Hiluf, Fantahun, one hundred eighteen
(22.1%) of the total respondents were fully prepared as
they identified place of delivery, saved money and
identified a means of transport ahead of childbirth while
Agarwal and Sidhharth in their study showed that overall,
47.8% of the mothers were well-prepared, and 52.2%
were less-prepared.12,13 Only 40.3% of these respondents
were reported well prepared for births and were
complication ready (ajibola).
Different studies have reported low preparedness of
women towards childbirths in developing countries. For
example, only 47.8% of pregnant women in Indor city of
India, 17% in Ethiopia, 23% in Ghana, and 34.9% in Ile
Ife, Nigeria were birth-prepared as documented in various
studies.13-15
The women in present study had better birth preparedness
than in a study of Hiluf, Fantahun, in which, majority
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(85.8%) of the respondents made some arrangement for
the birth of their baby. Of those 209 (39.1%) reported that
they identified place of delivery, 190 (35.6%) saved
money, 56 (10.5%) identified skilled provider and 17
(3.2%) identified a mode of transportation. Considering
both unprompted and prompted responses, place of
delivery selection (77%) and saving money (69%) were
the most commonly identified components of birth
preparedness and complications readiness.12
Almost similar findings were observed by Agarwal and
Sidhharth in their study, which showed that over twothirds (69.6%) of the mothers identified a trained birth
attendant for delivery. About two-thirds (63.8%) of the
mothers identified a health facility for obstetric
emergency. The large majority (76.9%) of the families
saved some money and kept it aside for incurring cost of
delivery and obstetric emergencies, if needed.
Preparedness for transport for emergency was low
(29.5%). It emerged from the responses of the mothers
that prior arrangement for transport was not considered
crucial due to the easy availability of local transport in
their slum and vicinity.13
In a study of Ul Haq, lack of preparation in terms of
transport was reported in 83% cases.16
In a study conducted by Affipunguh, 57.58% women
saved money, 22.1% identified a person who is going to
accompany her, 18.01% planned a place of delivery,
10.18% arranged for a transport and 0.47% identified a
skilled person.17 While in a study by Deokinandan et al
44.2% women arranged for transport and 78.7% women
saved money for delivery.18
Sixty-six percent of the women developed at least one
complication during the index pregnancy and childbirth,
the most common of which were prolonged labour, fever,
bleeding, and pre-eclamptic toxaemia. Reporting of
complications was found to be associated with women’s
education, parity, and knowledge about obstetric
complications.19
In a report of Deokinandan et al, only 18.6% women had
knowledge about danger signs.18 A study (Mayank et al)
of women in the slums of Delhi, (India) reports that
among the women who experienced bleeding during
pregnancy, 44 percent actually recognized it as a danger
signal.24
In a study of Andrea, one in four women recognized
severe vaginal bleeding after delivery as a danger sign.
Vaginal bleeding during pregnancy (9.6%) and delivery
(13%) were mentioned as danger signs.25
The proportion of women who had BP/CR was
significantly higher among those in the middle socioeconomic group (51.6%, p<0.05), those who practiced
Christianity (76.4%, p<0.05) and those from Yoruba
ethnic group (80.1%, p<0.05). Respondents in lower
socio-economic group were 42% less likely to have
prepared for birth compared to women in the high socioeconomic class (OR: 0.58, 95% CI: 0.34-0.99).26
BPCR status was not found to be significantly associated
with maternal age, literacy, number of family members,
monthly income of the family, or with any obstetric
factors (e.g., parity, history of stillbirths, ANC).
However, the preparedness (well-prepared or lessprepared) was significantly associated with their
awareness regarding at least 3 key danger signs during
pregnancy (p=0.009), delivery/ childbirth (p=0.036), and
in the newborn period (p=0.007). It is also evident that
82.1% of women were well-prepared who were advised
about relevant BPCR practices during pregnancy as
compared to only 3.1% of women who were not advised
accordingly. This difference was also found to be
significant (p<0.001).27
In a study by Affipunguh et al, rural area (p=0.044) and
high education (p=0.007) were significantly associated
with birth preparedness. No statistical association was
found between age group, occupation, marital status and
religion with birth preparedness.17
Less institutional deliveries than the present study were
found in NFHS-3 (2005-06) and DLHS-3 (2007-2008),
i.e.54.60% and 69.3% respectively.20,21 Hiluf and
Fantahun in their study in 2008 reported that 65.0%
women gave birth in health institutions whereas 35.0%
delivered at home.12
In a report by Deokinandan et al, Birth
Index of a study population was found to
was significantly high in Above poverty
(59.3), high educational level (63.6), in
business group (59.3), primipara (50.9) as
multi para (40.1).18
In a report by H&FW (2003) it was revealed that, 26.7%
women used rickshaw for reaching health facility, 20%
used van, 13.3% used no transport while 40% used other
transportation modes to reach health facility.22
The importance of MDR lies in the fact that it provides
detailed information on various factors at facility, district,
community, regional and national level that are needed to
be addressed to reduce maternal deaths. Analysis of these
deaths can identify the delays that contribute to maternal
deaths at various levels and the information used to adopt
measures to fill the gaps in service.28
From the women who died majority (51.1%) were from
the distance of >50 kilometres from the health facility,
while 37.6% and 11.3% were from the distance of 20-50
kilometres and <20 kilometres respectively.23
Preparedness
be 47.5%. It
line women
service and
compared to
The main purpose of CBMDR is to identify various
delays and causes leading to maternal deaths, to enable
the health system to take corrective measures at various
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Patel NA et al. Int J Community Med Public Health. 2017 Dec;4(12):4569-4576
levels. Identifying maternal deaths would be the first step
in the process, the second step would be the investigation
of the factors/causes which led to the maternal death –
whether medical, socio-economic or systemic, and the
third step would be to take appropriate and corrective
measures on these, depending on their amenability to
various demand side and communication interventions.28
9.
10.
11.
CONCLUSION
Two third of the women were partially prepared while
one in every five women are not at all prepared. Almost
three forth women have identified place of delivery but
very few have saved money and identified mode of
transport. Education, parity, knowledge regarding danger
signs comes to be associated with Birth preparedness
practices. Women who were fully prepared had higher
morbidity than those who were not prepared. The reason
might be that the women who had experienced any kind
of maternal morbidity were more prepared to combat the
complications. Both Maternal mortality cases are not at
all prepared. Proper birth preparedness can help to reduce
maternal morbidity and mortality as well and can have
positive impact on maternal health.
Funding: No funding sources
Conflict of interest: None declared
Ethical approval: The study was approved by the
Institutional Ethics Committee
2.
3.
4.
5.
6.
7.
8.
13.
14.
15.
16.
17.
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Cite this article as: Patel NA, Mehta JP, Unadkat
SV, Yadav SB. Birth preparedness: studying its
effectiveness in improving maternal health in urban
slums of Jamnagar, Gujarat. Int J Community Med
Public Health 2017;4:4569-76.
International Journal of Community Medicine and Public Health | December 2017 | Vol 4 | Issue 12
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