Title: Factors associated with pregnancy termination in Cote
d'Ivoire using the Demographic Health Survey-Multiple Indicator Cluster Survey
data for Cote d'Ivoire from 2012
By: Traore Metahan, M.Sc., MPH(c)
Submitted toKristin Sznajder, MPH, PhD
Capstone Project Mentor: Kristen Kjerjrrulff, MPH, PhD
Pennsylvania State University (Penn State), College of
Medicine, Hershey, Pennsylvania, USA
Traore Metahan
Email: metahantra@gmail.com
Abstract
Background
Pregnancy termination is used as family planning by women in many
societies and countries of Africa,but is often conducted in unhygienic and
unsafe circumstances. Abortion rates are increasing every year making this
practice a significant contributor to maternalmorbidity and mortalityin
sub-Saharan Africa, including Cote d'Ivoire.
Objective
This study objective is to explore the factors associated with
pregnancy termination.
Methods
This study used the data from the Demographic and Health Survey
(DHS) conducted in 2012 in Cote d'Ivoire. Univariate and multivariate logistic
regression models were used to identify factors associated with a life time
history of having had one or more pregnancy terminations.
Results
A total of 10,848 women aged of15-49 participated in the survey.
The majority of the participants were married (64.2%) and nearly three fourths
had born at least one child. The rate of current contraceptive use was low
(18.8%) and 18.03% reported having had one or more pregnancy terminations.
Women who were married, Christian, educated and wealthy were more likely to
have had a reported pregnancy termination. In addition, a woman who was older
and had born at least one child was more likely to have had a termination.
Women who had a history of pregnancy termination were more likely to report
that they currently used contraception.
Conclusion
The results of this study indicate that women of childbearing age
in Cote d'Ivoire have limited access to contraception and some have sought
pregnancy termination. Women of higher meansin terms of wealth, education and
working status are more likely to have had a reported pregnancy termination.
Keywords: pregnancy termination, abortion,
Africa, maternal mortality, Demographic Health Survey.
Introduction
Abortion is a major contributor to maternal mortality in
sub-Saharan Africa. Over 6 millionabortions were reported as induced abortions
inAfrica with more than 1.8 million occurring in West Africaduring 2008
(Guttmacher, 2015). In 2008, the maternal mortality ratio in West Africa was 28
deaths per 1,000 live births and the rates are still increasing every year
(Guttmacher, 2015). The maternal mortality ratio is higher in Cote d'Ivoire
than West Africa as a whole with 400 maternal deaths per 100,000 live births
(DHS, 2012).
Despite abortion beingillegal in almost all African countries,9%
of maternal deathswere attributed to abortion in 2014 (Guttmacher, 2015).For
this purpose,in Africa, pregnancy termination (induced abortion, spontaneous
abortion or miscarriages) specifically represents a serious public health
problem because they are often conducted in unhygienic and unsafe circumstances
(Varga, 2002). It is estimated that 14% of maternal deaths are attributed to
unsafe abortion and to pregnancy complications (WHO, 2011).According to AIDS
Indicators Survey of Cote d'Ivoire (AISCI-2005), pregnancy termination such as
abortion is the second cause of maternal mortality and the rates of abortion
are still increasing every year (WHO, 2010). Thus, this situation increases
the burden of maternal mortality and morbidity. It appears that stigmatization,
shame and societal pressure drive practices related to abortion in many
Africans societies(Adjei, 2015).
Despite the promotion of family planning programs, women continue
to practice abortion in many African countries (Guttmacher, 2015). Because of
its illegality, the majority of terminated pregnanciesare clandestine and many
are unsafe(Varga, 2004). A study carried out in Kenya showed that the main
reasons of abortion reported by women are divorce, poverty, loss of job and
social exclusion, loss of marital viability(Izugbara, 2009).
In Cote d'Ivoire, researchers have addressed issues surrounding
induced abortion, but many related to factors associated with termination of
pregnancy remain insufficiently explored(Svanemyr&Sundby, 2007).Among the
available studies, few have identified the factors associated with pregnancy
termination (Goyaux, et al., 2000). Although the study achieved by Goyaux et
al. (2000), on abortion in Abidjan (Cote d'Ivoire) showed that abortion is
fairly well documented in almost African countries, it is less well documented
in Cote d'Ivoire. Thus, it is crucial to investigate the factors that can be
associated to pregnancy termination in this country. According to UNICEF (2012)
the contraceptive prevalence was 18.2% in 2012 in Cote d'Ivoire, drives to high
rate of abortions.
Given the foregoing, thisstudy on pregnancy termination in Cote
d'Ivoire, aims to analyze the factors involved in the practice of pregnancy
termination.
Objective of the Study
The mainobjective of this study is determine the chain of factors
associated with pregnancy termination in Cote d'Ivoire.Specifically, it is
to:
· Identify the profile of women of childbearing age (15-49)
who have had pregnancy termination);
· Determine the factors influencing pregnancy termination in
Cote d'Ivoire.
Purpose of the Study
The purpose of this research is to contribute to improving
knowledge on the determinants of pregnancy termination, which will help the
government to implement significant reproductive health programsand plan new
strategies to ameliorate thepopulation health.
Hypotheses
The hypotheses of the research include:
H1: Socio-cultural (age of the woman, marital status and
religion) factors explain the recourse to pregnancy termination in Cote
d'Ivoire.
H2: Socioeconomic factors (occupation of women and education
level and household wealth) explain the recourse to pregnancy termination in
Cote d'Ivoire.
H3: The use of contraceptive methods influence pregnancy
termination.
Delimitations
The research is delimited in the following ways:
1. The study is located in Cote d'Ivoire a West Africa
country.All women aged 15-49 years usually living in the selected households,
or present the night before the survey were eligible to be
interviewed.Specifically, the study is about women of childbearing age, 15 to
49, who reported that they have had a pregnancy termination. Data examined in
this study were obtained from Demographic Health Survey of Cote d'Ivoire
database for the year 2012.
2. Multivariate analysis is used to analyze data.
Limitations
The combination of spontaneous, induced abortion and miscarriage
into one variable (pregnancy termination) does not give specific information on
abortion for example. With such a variable, it is difficult to focus on a
specific topic such as induced abortion. Also, there are problems of
estimations because, sometimes, participants don't know really know the
difference between induced, spontaneous abortions and miscarriages. Moreover,
it can be difficult for all the respondents to accurately report some of the
past pregnancy outcomes.One of the limits of the Demographic Health Survey
(DHS) is that there is a period of 5 years between two surveys.
Definition of Terms
The terms and definitions for this study include:
Pregnancy termination. A termination of
pregnancy is an induced or spontaneous abortion that occurs after 20 weeks of
gestation (The Johns Hopkins Manual of Gynecology and Obstetrics,
2011). The termination of pregnancy is formed of three items
which are induced abortion, spontaneous abortion and miscarriage.
Miscarriage. Miscarriage may be definedas
involuntary termination of pregnancy before the fetus is viable. (The Johns
Hopkins Manual of Gynecology and Obstetrics, 2012)
Induced abortion.Induced abortion is the
termination of pregnancy or expulsion of the fetus before the fetus is viable
during 28 weeks. In fact, an induced abortion occurs when a woman makes a
choice to stop a pregnancy process. (The Johns Hopkins Manual of Gynecology and
Obstetrics, 2011).
Spontaneous abortion. Spontaneous abortion, also
known as miscarriage, is the unintentional or involuntary expulsion of an
embryo or fetus before the 24th week of gestation (Borgatta, 2014).
Socio-cultural factors. These factors represent
customs, attitudes, beliefs, values and perceptions that determine the behavior
of individuals in society. Every society has its norms and values ??regarding
sexuality. Thus, the mean of cultural factors is a combination of factors such
as norms and values having a direct or indirect effect on pregnancy
termination. (Rwenge, 2002).
Sociodemographic factors. This is essentially
the woman's age, marital status and number of children of a woman. Indeed, we
womanmust reaches a certain age for childbearing expect to be exposed to the
risk of pregnancy, as part of this study will be of age 15 years. According to
the literature, marital status influences the practice of abortion in several
ways.Single women are more likely to use more to abortion than married women.
Also, some studies have found a relationship between age and number of children
of a woman. Abortion is used by the younger generations todelay childbirth,
while olderwomen use it to space births (Adjei, 2015).
Socioeconomic factors.
These factors represent the ability of a woman to get the financial
means to use modern methods to prevent pregnancy. It is, also, the ability of a
woman to take care of a child and to manage her economic and financial status.
The indicators of these factors are the occupation of women, the household
wealth, the employment status (occupation) and education levels (Moyabi,
2010).
Contraceptive practice. Contraception practice
represents the use of a modern contraceptive methods to avoid unintended
pregnancy (Rwenge, 2002).
Literature Review
Lack of statistics and data on pregnancy outcomes in Africa
limitthe literature review. According to some surveys and studies, the recourse
to pregnancy termination in Africa is associated withfactors such as
demographic, socio-cultural, socio-economic and institutional. To better
understand the practice related to pregnancy termination, the review of
literature is divided under the following subheading. First of all,it will be
determined the differentfactorsapproaches such as sociocultural, socioeconomic,
institutional and health and then in second hand, it be will identified the
different determinants associated with the pregnancy termination
(variables).
Sociocultural and Demographic Approaches
Adjei, (2015) showed that women practice abortion at different
ages of their life. Many women who have more than 5 children are likely to
limit their births (cite). In Gabon, the variation of the prevalence of
pregnancy termination whichis 15% and 23% in women over 20 years is lower among
younger women (6%)(Mendame, 2005). When analyzing the age of women at their
first abortions, it appears that 44% occurred before the age of 20 years
(Barrere, 2001). In Yaoundé and Douala (Cameroon), a survey of 1,638
women revealed that women aged of 24-35 years have more miscarriages (30.3%),
followed by those aged 45-49 years (29.7%). Women aged of 25 years reported
having had an abortion (12%) in both localities (Ngwe et al. 2004). In Ghana,
the average age ofabortion is about 30 years, but it seems that this practice
is common for young single women (Varga, 2002). According to Adjei et al.
(2015) young women are more likely to practice abortion than older women in
Ghana. In Bamako (Mali), a survey conducted about abortion practice in health
centers showedthat, it is especially women under 25 years old and single having
recourse to pregnancy termination (Konate, 1993). Abortion is often practiced
by young women who, by this practice, interrupt their first pregnancy through
an abortion(Mote et al., 2010). A survey conducted in Gabon highlighted the
strong prevalence of abortion among adolescents and young people (Bibang,
2010). Also in Egypt, women hospitalized for illegal abortions are young
women, unmarried, uneducated, educated and without children. (Ezzeldinet al.,
2010).
It is in the same way, Mendame (2005) found that the
distribution of women by abortion and age show that the proportion of women who
have already practiced abortion is highest among 35-49 years (75.1%), followed
by those of 25-34 years (59.2%) and then by those of 15- 24 years (53%).Also,
in Accra in Ghana, according to a study in a hospital, a quarter(25%) of women
less than 20 years from birth to the second pregnancy had interrupted their
first pregnancy unsafely(Mote et al., 2010).We see that all women (15-49 years)
practice pregnancy termination but literature reveal that there is a cultural
cause of abortion which is the fear of social or family rejection.
Social or Family Rejection
In many African societies,sexuality represents an aspect of
social,cultural behavior and is qualified as a taboo. Thus, norms in terms of
sexuality are in many social environments are strict and stigmatized(Izugbara,
2009). In a perspective of religious morality, sexual intercourse should occur
for example in the context of a socially recognized union and should be
reserved exclusively for procreation (Rwenge, 2002).Adjei et al. (1999)
revealed that premarital pregnancy is stigmatized and severely punished.The
pregnancy of the girl is stigmatized in manyAfrican societies. Societal
pressure, shame, family rejection represents the causes of abortion practice
(Izugbara, 2009). It leads, very often, to illegal and unsafe abortions. The
fear of the reaction of parents or family facing a pregnancy considered
unacceptable (young women, single or deemed not to have sex) or issues of
partners (disagreements, premarital pregnancy, refusal of paternity, occasional
partners, adulterous pregnancy) can explain some pregnancy terminations (Maina,
2015). These patterns depend on the age of women and their marital status. In
fact, the decision to abort for young women largely dependent on the reaction
of the partner and his ability to accept the paternity of a pregnancy
(Svanemyr, 2007).
Studies in Cote d'Ivoire emphasize the importance of familial
reasons in decision to practice a pregnancy termination such as induced
abortions. The main reasons found are unstable unions, the fact of refusing to
recognize a pregnancy by a partner, marriage problems, and fear of scandal or
reaction of parents (Izugbara, 2009). In Douala and Yaoundé, "the
fear of being rejected by parents or family" was cited as the primary
cause of abortion among young girls (52.8%) (Ngwe et al. 2005).In Bamako(Mali,)
a country dominated by Islamic religion, the main reasons of abortions reported
by women are religious (38 to 64%), family pressure (31 to 45%) and the refusal
of their partner to recognize a pregnancy (1.7 to 14.6%) (Konaté et al.
1999).The fear of parents is cited as a main reason for abortion, especially by
young women: 16.4% of women under 20 years old had abortions for this reason in
Gabon 22% in Benin 71% in Togo 17% in 1996 to 26% in Nigeria and Uganda (Adjei,
2015 and Mendame, 2005). In Ghana, 21% of women mentioned fear of parents and
20% fear criticism and severe punishment of thefamily and neighborhood (Mote et
al. 2010).
In the same way, the determinants and behavior that young couple
must face to an unwanted pregnancy is a reason of high rate of abortions. The
fact that abortion is illegal and the lack of money, many young people cannot
count to their parents economically. Indeed, they can't receive assistance from
their parents to take care of the child and thus parents push the young couple
to practice abortions(Svanemyr, 2007).
School as a Reason forAbortion
Pregnancy termination specifically, the abortion is often
practiced among young educated women and almost to those enrolled in secondary
school who want to complete their education (Moyabi, 2002). In sub-Saharan
Africa, it is reported that in many countries the majority of women who have
abortions are teenagers want to continue their studies or work to improve their
economic status, so that abortion is used to avoid or delay a
pregnancy.(Izugbara, 2009).
Education is one of the main reasons by women when they practice
a termination of pregnancy. In Cote d'Ivoire, for example, this reason was
mentioned by nearly 55% of women across the country, 19% of them in Abidjan
(DHS, 2012). The majority are educated of secondary school or higher and 36% of
undergraduates (Guillaume, 2000). In Bamako, in Mali, "the school constraints"
are among the top three reasons for abortion (Konaté et al. 1999). In
Togo, education is mentioned by a third of women under 20 years as abortion
pattern. (Djoke, 2004). This reason is also cited by almost of women aged 15 to
24 in Kenya (Izugbara, 2009). Also 26% to 38% of women have cited the same
reason in Kenya (Maina, 2015).
Socio-Economic Approach: The Economic Reasons for
Abortion
Studies show socioeconomics factors influence
the practice of unsafe abortion. (Mafuta&Beya, 2006). Indeed,
economic difficulties conduct some women to practice pregnancy termination.
These women highlighted the difficulties to take care of a child,
incompatibility of women to simultaneously manage their occupation and the care
to give to a child. (Mendame, 2005).
Also, economic difficulties and poverty are frequently cited
among the reasons for abortion in most countries, such as in Nigeria (Izugbara,
2009). In Gabon, a third of women said to be facing economic difficulties or
want to pursue professional activity (Bibang, 2010).Thus, in Douala and
Yaoundé, the second reason cited by women to justify abortion is the
lack of financial resources (39.6%) (Ngwe et al. 2005). In Uganda, women
practice abortion in order to save their jobs or if their partner does not want
to recognize the pregnancy (Kasolo, 2000).Unwanted pregnancies and abortion are
the consequences in Africa of sex for profit or material. Indeed, some rich men
who promise money, gifts to young women in exchange for unprotected sex,
abandon them when a pregnancy occurs. Unable to meet the needs of the newborn,
parents fear or pressure from these men, they are forced to abort these
pregnancies.(Izugabara, 2009).
In summary socioeconomic factors influence the pregnancy
termination in general. But, also, institutional approach has an influence on
the practice of this event.
Institutional Approach
A restrictive legal framework on abortion.
Abortion is still under restrictive measures including the majority of
African countries.Today, abortion is totally banned in 15 countries (out of
190). In other countries, the situation varies from very strict limits to a
very liberal policy in 55 countries (44% of the population), abortion on
request or for economic and social reasons (Mendame, 2005).
In Francophone Africa (French speaking countries), the abortion
laws are often still reminiscent of the French law of 1920, which condemn
abortion and repress anyone practicing it. In English-speaking countries, the
law is inspired by the British 1861 Act on offenses against the person. Thus,
doing a pregnancy termination such as induced abortion is a crime and punished
by the law (Bibang, 2010). But since 1999, in 26 countries, the termination of
a pregnancy may be authorized only for the survival of the mother. (Adjei,
2015). In countries where abortion is liberalized, some restrictions still
limit in practice. In Egypt, for example, health centers where these acts may
be legally practiced are few, especially in rural areas (Ezzeldin, 2010). In
South Africa, the law provides a legal age of pregnancy for an abortion
(Guttmacher Institute, 2008). In Sudan and Zambia, the authorization of 2 or 3
doctors need to abort (Mote et al., 2002). All these restrictions penalize
women. Instead of preventing abortions, they contribute to clandestine and
dangerous practices. Thus, the high and increasing number of unsafe pregnancy
termination isobserved in health centers of abortions complications. In West
Africa, one million per year the number of illegal abortions are practiced
outside any formal medical supervision. But the most affected continent region
is Eastern Africa with 1, 34 million illegal abortions a year. (Guttmacher
Institute, 2015).In South Africa, the law provides a legal age of pregnancy for
an abortion (Mendame, 2005). In Egypt, for example, the authorization of 2 or 3
doctors is requiredto abort (Ezzeldin, 2010). All these restrictions penalize
women. Instead of preventing abortions, women arestill practicingclandestine
anddangerous pregnancy termination to avoid unintended pregnancies. It is in
the same way that 68,000 women die of unsafe abortions every
year.Thus, maternal mortality will occur every time those
women face financial burden and social stigma of unintended pregnancy. But one
of the factors of pregnancy termination is the lack of contraceptive
methods.
Lack of contraception or failure of a method
factor. Since the independences of many African countries (1960),
severalprograms of reproductive health have been implemented through project
for birth control. Abortion has been used as a birth control method before the
use of contraceptive methods. The development of family planning programs has
contributed to increase the use of contraceptive methods, butrates of abortions
remain high.
In countries where contraceptive use is high, contraceptive
failures are very common, by the persistence of unintended pregnancies which
conclude with an abortion (Adjei, 2015). In this case, the resort to abortion
may occur after a contraceptive failure, consecutive to misuse of a method or
ineffective.In Africa, the lack of contraceptive methods drivesto contraceptive
methodstounsafe abortion. (Izugabara, 2009).
Ezzeldin et al. (2010) conducted a situational analysis on
abortion in Egypt. The study has showed that the main determinants of abortion
are lack of avaibility of family planning and contraception services and lack
of contraceptive methods knowledge. But the main determinant of unsafe
termination pregnancy is the lack of contraceptive method.
In Cote d'Ivoire, illegal abortions persist for several
reasons,mainly because of the lack contraception. (Moyabi, 2002). Thus, the use
of contraceptive method is directly linked to pregnancy termination in case of
induced and spontaneous abortion. (WHO, 2011).
However, in a conservative environment, medical providers do not
accept to give the necessary advice to adolescent because of values and
cultures. The consequence of such behaviors is the resultants of high rate of
unintended pregnancies. They have proposed some solutions to reduce the high
rate of terminated pregnancies. It is very necessary that contraception be
accessible for active sexual teenagers. (Menachem et al.
2015).The post-abortion contraception can help reduce the need for abortion,
but in many African countries it is difficult to get quality post-abortion care
and requiredcounseling. Thus, the absence of reproductive health service and
the inadequate use of contraceptive method represent a main cause associated to
maternal morbidity and mortality. Also, health approach influences the
pregnancy termination.
Health Approach
In many African countries, abortion is
permitted if the physical or mental health of the woman is threatened. This
pattern is not often cited by respondents in surveys and studies already
conducted. In Gabon, 6% of women reported having used at least once to an
abortion for health reasons (DHSG, 2000). This reason was cited by of women in
Kenya (Izugbara, 2009), 3.2% in Douala and Yaoundé (Ngwe et al.
2005).
The different approaches reviewed in the literature allow us to
identify the factors that might explain the recourse to abortion in Gabon.After
determining the different approaches, it is important to identify the different
variables associated with the pregnancy termination.
Determinants of Induced Abortion
A number of variables related to socio-cultural, socio-economic
and institutional influence the practice of abortion. These variables are
sociocultural variables, religion, ethnicity, geographical setting, age,
marital status, and number of living children.
Sociocultural variables. The practice of
abortion is determined by specific standards and values ??of each society that
influence the individual decision to practice abortion or not. Thus,
sociocultural variables have an influence onpregnancy termination.
Religion. According Akoto(1985, cited by Djoke,
2004) «religion conveys a number of values ??and norms that govern the
lives of the faithful on the behavioral and psychological level.» The
majority of religions forbid abortion considered as a serious sin. This is the
case of the Christian, Jewish and Muslim.However, these religions can allow an
abortion in order to save the life of the mother (Rwenge, 2002).
Ethnicity. Many surveys have shown the effect
of ethnicity on the pregnancy termination, but, numerous studies have
documented differences. In Cameroon, for example, some sources have described
the Beti-Fang as traditionally more tolerant vis-à-vis of sexuality
norms and premarital childbearing than other ethnic groups (Calvès,
2004). But in Cote d'Ivoire, for example, women from the ethnicity Krou, are
more likely to practice pregnancy termination such as abortion than the other
ethnic groups (DHS, 1998).
Geographical setting.The place of residence is
an important indicator of differentiation to explain the sexual behavior of
women as they use or not pregnancy prevention methods. Several studies have
shown that urban women were more sexually precocious than those living in rural
areas. This can be explained as an aspiration of women to enjoy more freely of
their bodies in the city than in the village (Bibang, 2010).
Age. Several studies have shown the correlation
between the age of a woman and the practice of abortion. The majority of them
related the high abortion rates among young singlewomenless than 25 years and
particularly high before the age of 20 years (Adjei, 2015). But some researches
showed that, women resort to abortion at all reproductive age (Maina, 2010).
Marital status.The marital status of women is
an important determinant of abortion. Indeed, according to the literature more
single women are more likely to terminate a pregnancy than single women
(Izugbara, 2009). This is explained by the fact that premaritalpregnancy is
assimilated to shame and social rejection (Adjei, 2015). Married women aborted
either because they want children or to space their births (Izugbara, 2009).
This practice can also intervene in the past as a result of an extramarital
pregnancy. In Douala and Yaoundé, married women reported having an
abortion in their majority by the lack of contraceptive methods (55%)and for
economic reasons, including lack of financial resources (33.3%) and
professional constraints (4.5%) (Ngwe, 2005). Divorce and loss of
maritalviability represent a main cause of abortion, because these women do not
have financial means to take care of an additional child. (Izugbara,2009).
Number of living children. The numberof
livingchildrenof women also influences the practice of abortion. Some surveys
carried out in hospitals suggest that a majority of women admitted due to
post-abortion complications are young and are in their first pregnancy.
However, other studies have found a greater diversity in the age and gender of
patients. In a research conducted in a Kenyan hospital, for example, the
majority of patients admitted following an abortion already had one (33%), two
(15%) or three (23%) children (Shukri et al., 2015). Similarly, a study
conducted in Kinshasa about pregnant women concluded that if abortion is used
by the younger generation to delay the start of reproduction, it is also use by
older women to space births (Svanemyr&Sundby, 2007).
The Socio-Economic Variables
Household wealth.Several studies have shown the
correlation between abortion and the household wealth of women.The abortion
practice is associated with household wealth of women. In fact, the higher the
household wealth increases, the practice is high. In Egypt, forexample,
richwomen in urban areas are more likely to practice abortions than poor women
(Mafuta&Beya, 2006).
Employment status.Studies have shown that the
abortion rate is particularly high among girls attending school and the desire
to stay in school is one of the main reasons mentioned by African women to
justify induced abortions (Maina, 2015). Other studies have also demonstrated a
positive link between employment status and the likelihood of an abortion
(Adjei, 2015). But according to Izugbara, et al. (2009), loss of job,
unemployment and povertyrepresent mayor reasons to terminate a pregnancy.
The level of education.According to the
literature, there is a positive and strong relationship between contraceptive
use and the level of education of women. It appears that there is a variation
for the recourse to abortion among educated women (Adjei, 2015). In Gabon, the
proportion of women who resort to abortion increases with the level of
education. Thus, women with secondary education (19%) are three times likely to
practice abortion compared to those with no education (7%).
(Mendame, 2015). According to Adjei, et al. (2015) the more a woman is
educated the more she is likely to resort to pregnancy termination.
The Institutional Determinants
One study showed that women who were not using
modern contraceptive methods had often resorted to traditional methods
(Mendame, 2005). In Ethiopia, 83% of women did not use contraception before
pregnancy (William A. 2004). In Togo, only 19% of women used contraception
before pregnancy (Djoke, 2004). In Mali, the occurrence of unwanted pregnancy
among women using a contraceptive method before the abortion is explained in
39% of cases in failure (William, 2004). According to Adjei (2015),
theprevalence of contraceptive use and the presence of family planning services
reduce the rate of abortion. In Egypt, the main determinant of unsafe abortion
is lack of access to contraceptive methods and services and contraceptive
method failure (Ezzeldin et al, 2010).
Methods
Approach
The goal of this study is to determine the factors associated
with the pregnancy termination in Cote d'Ivoire.The study is based on a
quantitative approach. The DHS-MICS 2011-2012 is a survey based on quantitative
data. Thus, in order to achieve this study project, a quantitative approach was
used to study the problem.
Study Design
The design used tostudy the problem of this research is a
cross-sectional study from Demographic Health Survey (DHS) Macro Database.
Data was collected from December 2011 to march 2012 and was used to provide
demographic and health phenomena and also AIDS and malaria indicators to
managers and administrators of population and health programs in Côte
d'Ivoire. The survey used closed-ended questions. Data collection focused
onwomen demographic, socio cultural, socio-economic characteristic. In
addition, the survey examined reproductive health behavior, contraception,
fertility preferences, knowledge and prevalence of self-reported sexually
transmitted infections reproductive health, reproductive background,abortion,
pregnancy termination rate, prevalence of contraceptive methods, HIV/AIDS and
Malaria.
Procedures
Arrangements for the study. The
DHS-MICS-11/12 survey was conducted from December 2011 to March 2012 as a part
of the international program of Demographic and Health Survey (Demographic and
health Surveys-DHS). But contrary to the previous surveys (DHS), this survey is
a combination of DHS (Demographic and Health Survey) and MICS (Multiple
Indicator Cluster Survey).
The DHS-MICS was conducted by the Ministry of Health and the
Fight against AIDS (MSLS) in collaboration with the National Institute of
Statistics (INS) for the implementation of the survey. The DHS-MICS-11/12 has
received technical assistance from ICF international and with technical and
financial assistance of the United States Agency for International Development
(USAID), United Nations Children's Fund(UNICEF), United Nations Population Fund
(UNFPA), the European Union, the World Bank, the Global Fund and
The Joint United Nations Program on HIV and AIDS (UNAIDS). The
survey was funded by the government of Côte d'Ivoire. But what we can
say about the arrangement for the study, is that, all the protocols for
hemoglobin testing, HIV and malaria were approved by the National Ethics
Committee for Life Sciences and Healthcare (CNESVS), by the Ethics Committee
(Institutional Review Board) of ICF International, and by the Committee Ethics
of CDC (Center for Disease Control and Prevention) in Atlanta (USA)
(DHS-MICS,11/12).
Participants. In this section we will present
the survey coverage including the sampling and the participants. The
DHS-MICS-11/12 (EDSCI-III) survey focused on the population of individuals
residing in ordinary households for the whole country. The sampling of
EDSCI-III is based on a survey by stratified two-stage cluster. For the first
stage, a total of 352 clusters were randomly drawn from the list of clusters of
AISCI-2005. A total of 161 clusters were drawn in urban place of residency and
191 from rural zones were selected by taking a systematic sampling probability
proportional to the size. The size of the census districts is the number of
households. (DHS-MICS-11/12, 2012). A total of 10,413 Households were selected
and among them 9,873 households were identified during the survey. Of these
households 9873, it is 9686 have been successfully surveyed, representing a
response rate of 98%. The household response rate is higher in rural zone (99%)
than urban areas (97%) (DHS-MICS-11/12, 2012). In the 9,686 households
surveyed, 10,848 women aged 15-49 were identified as eligible for the
individual survey, and the interview was conducted successfully with 10,060 of
them (response rate of 93%). For thesurvey among males, a total of 5,677 were
eligible and 5135 were interviewed (response rate of 91%) (DHS-MICS-11/12,
2012). The response rates observed in rural and urban areas are higher for
women (95% against 91%) than those obtained for men (94% against 86%)
(DHS-MICS-11/12, 2012).
Instrumentation.
Individual questionnaire of women. The
household questionnaire used to establish the eligibility of persons to be
interviewed individually. The individual questionnaire of women was used to
record information about theeligible women and women of childbearing age
(15-49). It also determines the reference population for the calculation of
certain demographic rates and indicators (DHS-MICS-11/12, 2012). The
questionnaire includes the main sections below.
· Socio-demographic characteristics and household
surveys;
· The marriage and fertility;
· Family planning and the potential need for
contraception;
· Sexually transmitted diseases and AIDS.
· Reproduction
· Pregnancy and postnatal care;
· Vaccination children,
· Health and nutrition;
· Marriage and sexual activity;
· HIV / AIDS;
· Female genital mutilation;
· Maternal mortality;
· Others health problems.
The section on demographics consists of information including
the age, the place of residence, date of birth, sex, education, literacy,
region, exposure media and the birth rate.
The section on family planning contains information on knowledge
of contraceptive methods, the use of contraception, source of supply of
contraception, the future use of contraception, for family planning. The
section on sexually transmitted diseases continues the information on STIs in
general, with particular emphasis on knowledge of STI / AIDS risk perception of
AIDS awareness and condom use. The section of health of mother contains
information on prenatal care, tetanus vaccination, pregnancy outcome,
childbirth, postnatal care and perceived problems for access to health care for
women. (DHS-MICS-11/12, 2012). For analysis, the women individual questionnaire
will be used for the factors associated to the pregnancy termination.
Data Collection and Training
In this section we present the investigators training and data
collection in order to show all the process of training and data collection.
Data collection was done by well-trained surveyors.
Training. All collection procedures EDS-MICS
2011-2012 have been pre-tested. Twenty (20)surveyors were recruited and trained
for four weeks on the filling and the structure of questionnaires and test
procedures. Training was divided in a theoretical phase and a practical phase.
Pre-test activities of the field were achieved in a precarious and populous
neighborhood, a residential and a village of Abidjan and its surroundings
(DHS-MICS, 11/12). The lessons learned from this pilot survey were used for the
finalization of the survey documents.The National Institute of Statistics (INS)
has recruited 144 candidates who have received training during one (1) month.
The women interviewers were responsible for interviews with women while men
investigators were in charge for interviews with men. (DHS-MICS,11/12).
Data collection. Data collection started on
December 5, 2011 to completely ended on May 11, 2012. The different teams were
deployed in their respective areas of work all over the country, according to
their language skills to facilitate communication.
Data Analysis
For data analysis, we will use two approaches: a descriptive
analysis and an explanatory analysis(multivariable). These analysis methods
will allow us to identify the factors associated with the pregnancy
termination.
Bivariateanalysis. At the bivariate level we
will show the associations between pregnancy termination and the different
independent variables. With Statistics Chi2, we will evaluate the significance
of the various associations.
Multivariableanalysis. As the relationships that
will be highlighted at the descriptive analysis can be misleading, we will
resort to multivariable explanatory models to identify net effects of each
variable and mechanisms of action of various factors to the explanation of
pregnancy termination. Since the dependent variable, pregnancy termination, is
binary, we will use the multivariable logistic regression models. Logistic
regression provides among other statistical interpretations of the results:
· The "Odd ratio" of experiencing the event of interest;
· The statistics of Chi2 for testing significance of the
model and parameters,
· Pseudo R2 to test the adequacy of the model;
· Significance levels of odds ratios.
Results
Presentation of Data
In this section we will present the descriptive analysis and
multivariable analysis through regression logistic (step by step models).Before
analyzing the data, it is important present the data in order to see the
representativeness of variables. Then, in this section we presentthe
distribution of variables. (Table1), the descriptive analysis and multivariate
analysis (regression logistic with the step by step model) in order to identify
the factors associated with the pregnancy termination. Pregnancy termination
variable includes spontaneous abortion or induced abortion or miscarriage.
Presentation of the Variables
In this section we present the distribution of the different
variables of the study (Table 1).
Table1 shows a total of 10,060 participants (women). The mean age
of the respondent at time of survey was 28.52 years (standard error=0.092)
showing that an important part of the participants is young.For the women of
childbearing age, 39.52% of participants are aged of 15-24 years. Women of
25-34 years old represent 39.52% and those who are 35-49 years old represent
26.38%. The majority of participants (57.10%) reported having no education
level, 23.33% reported completion of primary education while 19.57% reported
secondary education and plus as education attainment. For the religion
variable, 40.20% of participants are Muslims, 45.69% are Christians and 14.11%
represent the animists (traditional religions).The survey results show that
64.15% of participants were married,while single women was35.85% of the
participants. For theplace of residency, 51.39% ofparticipants reportedliving
in urban area and 48.61% residing in rural areas. The survey results show that
29.29% of participants are working and 70.69% are not working. For the
household wealth, 36.66% arepoor, while 20.87% are in middle situation andrich
participants represent 42.74% of the sample.The percentage of women who don't
use contraceptive method is high. Indeed, there are 81.1% of the participants
who does not use a contraceptive method, while 18.79% use a contraceptive
method. Women without children represent 25.47% of participants in this sample
and almost half (49.79%) of participants have 1-4 children while those who have
5-9 children represent 22.55% and 2.19% have 10-15 children. For the female
circumcision (female genital mutilation) variable, 56.01% of women are
circumcised while 43.99% of participants are not circumcised.For the pregnancy
termination, 82.07 % of participants reported that they have never had a
pregnancy termination while 18.03% have ever had a pregnancy terminated.
Table 1
Distribution of the variables
Variables
|
Frequency (N)
|
Percentage (%)
|
Women of childbearing age
15-24
25-34
35-49
|
3984
3340
2736
|
39.52
34.10
26.38
|
Religion
Muslim
Christian
Animist
|
4044
4597
1420
|
40.20
45.69
14.11
|
Marital status
Married
Single
|
3607
6453
|
35.85
64.15
|
Place of residence
Urban
Rural
|
5170
4890
|
51.39
48.61
|
Education level
No education
Primary
Secondary&+
|
5744
2347
1969
|
57.10
23.33
19.57
|
Occupation
Working
No working
|
2946
7114
|
29.28
70.72
|
Wealth level
Poorest
Middle
Rich
|
3688
2100
4272
|
36.66
20.87
42.47
|
Contraceptive method
No
Yes
|
8074
1986
|
81.21
18.79
|
Total children ever born
0 children
1-4 children
5-9 children
10-15 children
|
2562
5009
2269
220
|
25.47
49.79
22.55
2.19
|
Female circumcision
No
Yes
|
5292
4157
|
56.01
43.99
|
Pregnancy termination
No
Yes
|
8217
1843
|
81.07
18.93
|
Total
|
10060
|
100
|
BivariateAnalysis
In this section we present the bivariateanalysis in order to
identify the associations between the independent variable and pregnancy.
Table 2
Proportion of women of childbearing age, 15 to 49, who reported
that they have had a pregnancy termination
Variables
|
Frequency (n)
|
Proportion (%) of Women of childbearing age, 15 to 49, who
reported that they have had a pregnancy termination
|
Probability of CHI2
|
Women of childbearing age
15-24
25-34
35-49
|
3984
3340
2736
|
11.07
20.60
26.10
|
0.000***
|
Religion
Muslim
Christian
Animist
|
4044
4597
1420
|
15.63
21.36
13.67
|
0.000***
|
Matrimonial status
Married
Single
|
6453
3607
|
20.72
14.03
|
0.000***
|
Place of residence
Urban
Rural
|
5170
4890
|
19.22
17.57
|
0.000***
|
Education level
No education
Primary
Secondary
|
5744
2347
1969
|
16.47
20.92
20.62
|
0.000***
|
Occupation
Working
No working
|
2946
7114
|
19.81
14.73
|
0.000***
|
Household Wealth
Poor
Middle
Rich
|
1727
1780
1910
|
16.81
16.62
20.46
|
0.000***
|
Contraceptive methods use
No
Yes
|
8074
1986
|
17.20
23.17
|
0.000***
|
Total children ever born
0 children
1-4 children
5-9 children
10-15 children
|
2562
5009
2269
220
|
11.36
19.50
23.49
19.09
|
0.000***
|
Female Circumcision
No
Yes
|
5292
4157
|
19.33
18.31
|
0.206
|
***: Significant to á=0.01
**: Significant to á=0.05
All the variables are associated to the pregnancy terminations at
1%, except female circumcision which is not significant (p=0.206). (See
table2). There is a significant relationshipbetween age and pregnancy
termination (p=0.000) at 1%. Women aged of 34-49 years are more likely to have
pregnancy termination witha proportion of 26.10%. Women aged of 25-34 years
represent 20.60% who have terminated a pregnancy while women aged of 15-24
yearshave a proportion of 11.07%. It appeared that the odds ratio of pregnancy
termination increase with age.As shown in table 2, there is a
significantrelationship between pregnancy termination and religion at 1%
(p=0.000). Christian women have the highest proportion of termination pregnancy
with 21.36%. Muslims have a proportion of 15.63% while the animistshave a
proportion of 13.67% of pregnancy termination. The association between
pregnancy termination and matrimonial status is significant at 1% (p=0.000).
Single women are less involved in pregnancy termination (14.03than married
women (20.72%) %). In addition, the place of residency is significantly
associated to pregnancy termination at the level of 1%. Indeed, 20.72 % of
women living in urban areas are more involved with pregnancy termination than
participants living in rural areas(14.03%).The association between education
and pregnancy termination has a strong relationship at1% (p=0.000). Women with
no education level practice less pregnancy termination (16.47%) than women of
primary education level (20.92%) and women of secondary and plus education
level (20.62%). Also, the occupation is associated with pregnancy termination
at 1%. In fact, women who are working are 19.82% to practice pregnancy
termination while women who don't work (14.73%). In addition, there is a strong
association with household wealth at a level of 1% (p=0.000). Indeed, rich
women practicemore pregnancy termination (20.46%) than poor women (16.81%) and
women who have a middle householdwealth (16.62%).
In addition, there is a significant strong relationship
betweencontraceptive method useand pregnancy (p=0.000). In fact, 23% of women
using contraceptive method practice pregnancy termination while women who do
not use it represent 17.20% of participants. In addition, pregnancy termination
and number of living children of women are significantly associated at 1%
(p=0.000). Indeed, more womenhavelots of children they are likely to have a
terminated pregnancy. Women with 5-9 children (23.43%) have practiced pregnancy
terminationwhile 19.09% of women with 10-15 children and 19.4% of those with
1-4 children have had a pregnancy termination. But, only 11.36% of women
without children have practiced pregnancy termination. However, male
circumcision is not significantly associated with pregnancy termination
(p=0.206). It appeared that female circumcision does not influence pregnancy
termination.
For the bivariateanalysis, we sought to highlight the statistical
associations between the independent variables and the pregnancy termination
(dependent variable). The association tests have overall shown strong
relationship between every variable and pregnancy termination.To reach the
purpose of the study it is necessary to find out the factors associated to the
pregnancy termination through multivariate analysis.
MultivariableAnalysis
The bivariateanalysis allowed us to identify the associations
between the independent variables and pregnancy termination and mechanisms by
which they influence this event.
Explanation of the step by step model
(Table3).In table3, there is the bivariate analysis (unadjusted)
between each independent variable and the pregnancy termination. In addition,
there are the different models (Mode1, model2, model3) which are adjusted. The
step by step model uses logisticregression. At every step, it is introduced a
setor group of variables in order to see how these variables(or a variable) are
going to affect the other variables in terms of odds ratio and test
significance (á). The final model is Model3 which is used to determine
the net effect of the factors influencing the pregnancy termination. We will
use the different variations (odds ratios, á significance level) the
models to determine the mechanisms by which the different factors (variables)
influence the pregnancy termination.
Table 3
Results from logistic regression for factors associated with the
pregnancy termination among sexually active women, using DHS 2012 data.
Variables
|
Bivariate analysis(unadjusted)
|
Model 1
A to D
|
Model 2
A to G
|
Model 3
A to J
|
A. Women of childbearing age
15-24
25-34
35-49
|
***
Ref
2.08***
2.84***
|
Ref
1.92***
2.64***
|
Ref
1.74***
2.48***
|
Ref
1.76***
2.52***
|
B. Place of residence
Urban
Rural
|
**
1.12
Ref
|
1.34
Ref
|
0.96
Ref
|
0.94
Ref
|
C. Religion
Muslim
Christian
Animist
|
0.68***
Ref
0.77***
|
0.63***
Ref
0.77***
|
0.71***
Ref
0.85**
|
0.66***
Ref
0.84**
|
D. Marital status
Married
Single
|
***
1.60***
Ref
|
1.33***
Ref
|
1.42***
Ref
|
1.29***
Ref
|
E. Education level
No education
Primary
Secondary & plus
|
***
Ref
1.34***
1.31***
|
|
Ref
1.32***
1.57***
|
Ref
1.31***
1.55***
|
F. Occupation
No Working
working
|
***
0.70***
Ref
|
|
0.86**
Ref
|
0.88
Ref
|
G. Household wealth level
Poor
Middle (medium)
Rich
|
***
1.01
Ref
1.29*
|
|
0.90
Ref
1.26***
|
0.91
Ref
1.26***
|
H. Using contraceptive methods
Yes
No
|
***
Ref
1.08***
|
|
|
Ref
0.80***
|
I. number of living children
0 children
1-4 children
5-9 children
10-15 children
|
***
0.53***
Ref
1.27***
0.97
|
|
|
0.75***
Ref
0.94
0.75
|
J. Female Circumcision
No
Yes
|
1.07
Ref
|
|
|
0.89
Ref
|
Significance (model)
|
|
***
|
***
|
***
|
Pseudo R² (%)
|
|
8.66
|
9.58
|
10.1
|
Ref: reference=1.00
***: significant test at 1%
**: significant test at 5%
Presentation of the LogisticRegressions
Results
All the three models are statistically significant at 1%. The
Pseudo R² for model1, model2 and model3 are respectively 8.66%, 9.85% and
10.1%.Overall, (model3), the different variables influencing the pregnancy
termination are women of childbearing age, religion, marital status, household
wealth, contraceptive methods, number of living children.(Table3).
Women aged of 25-34 years and 35-49 yearsare respectively at 1.76
and 2.52 times more likely to perform pregnancy termination than those who were
15-24 years old.
The Muslim and animist women are 0.66 and 0.84 times less likely
to resort to abortion compared to Christians. It appeared that married women
are more likely to have had a pregnancy termination. Indeed, in the bivariate
analysis, single women are 1.60 times more likely to have had pregnancy
termination than those who are single. In the model3,married women are 1.29
times more likely to have had a pregnancy terminationcompared to single
women.In the case of the education level, womenof primary and secondary and
plus education level are respectively1.31 and 1.57 times more likely to have
pregnancy termination compared to those without no education level. In
addition, forthe householdwealth variable, rich women are 1.26 times more
likely to have pregnancy termination compared to poor women. Moreover, women
who do not use contraceptive method are 0.80 times less likely to have had a
pregnancy termination compared to those who use it. In addition, women without
children are 0.75 less times to practice pregnancy termination than those who
have 1-4 children.
When we look at the different multivariate models, in the
model2, after the introduction of education level, occupation and wealth index,
it is noticed that, the religion variable with the category Muslim, which is
significant at 1 % pass from odds ratio of 0.71 to 0.66. Single women
oddsratio is1.29 in model1 increases in the model2 to decrease in the model3 to
1.29. with a decrease of 10%, but this variable remains significant. In the
model3 after the introduction of the contraceptive methods, number of living
children and female circumcision variables, it appeared that women of
childbearing age,religion,marital status, education level, occupation
(employment status)and householdwealth are still significant. In the final
model, the place of residence, occupation,and female circumcision are not
significant(model 3).
According to the data collected and the analysis, it is important
to state about the study's hypotheses. The followinghypotheses were failed to
be rejected:
Hypothesis #1(H1), which stated that the woman
of childbearing age, marital status and religion explain the recourse to
pregnancy termination in Cote d'Ivoire is not rejected.Results stated that
woman of childbearing age, marital status and religion have an effect on the
practice ofpregnancy termination.
Hypothesis #2(H2),which stated that the level of
education and the household wealth influence pregnancy termination in Cote
d'Ivoirefailed to be rejected.Results stated that education level influences
directly pregnancy termination. In fact, women of primary and secondary and
plus education level are more likely to practice pregnancy termination compared
to women without no education level. Also, household wealth has an effect on
pregnancy termination. Rich women are more likely to have a pregnancy
termination compared to poor.
Hypothesis #3(H3), which stated that
contraceptive use explains pregnancy termination failed to be rejected. Results
stated that women using contraceptive methods are more likely to resort to
pregnancy termination than those who don't use contraceptive methods.
Discussion
The main objective of this research project was to identify the
chain of factors behind pregnancy termination in Cote d'Ivoire. The specific
objectives for this study were to identify the profile of women of childbearing
age (15-49) exposed to pregnancy termination and to identify factors associated
with pregnancy termination and their mechanisms. The results reached may be
explained by the combination of several reasons and relationships.
The present study suggests that the sociocultural (women of
childbearing age, religion, marital status),socioeconomic (education,
occupation, household wealth) and institutional (contraceptive method use)
factors and others factors such as the number of living children of women
influence pregnancy termination.
Women aged of 25-34 and 35-49 years are more likely to terminate
a pregnancy compared young women aged of 15-24 years. That situation can be
explained by the fact that those women want to reduce their number of children.
(Mendame, 2000). Thus, pregnancy termination (induced abortion) continues to be
used as a family planning by women. (Adjei, 2015). There is also the
stigmatization of induced abortion premarital pregnancy which is not allowed by
almost of societies. Several studies have found the same results. (Mendame,
2005). Thereis also the lack of finance. According to some researchers
(Adjei,2015; Svanemyr andSundby, 2007), the lack of money isa reason reported
by young couples to terminate apregnancy. Looking at the model2, the
introduction of economic factors (education level, occupation and household
wealth) maintains the significance of women reproductive age. Indeed, the
influence of the women of childbearing age on pregnancy termination passes
through the socioeconomic factors (education, occupation and household wealth).
The religion has an influence on termination of pregnancy. In
fact, it appears that religion is a determinant factor of pregnancy
termination. The Muslim and animist religions are less likely to practice
pregnancy termination compared to women of Christian religion.Indeed, for
Muslims, a woman who aborts can be rejected by the community and the family.
The Christian religion may tolerate the pregnancy termination such as induced
abortion than the others religions because this religion refuse social
exclusion (Izugbara, 2009).The stigma of a premarital pregnancy is severely
punished. (Adjei, 2015). This finding is similar to a study achieved in Ghana
where abortion is seen like a taboo topic and a shameful act. (Adjei, 2015).
Regarding the matrimonial status, the results showed that the marital status is
significantly associated with the pregnancy termination (Table3). Indeed,
married women are more likely to practice pregnancy termination than single
women. This finding is consistent with many otherresearch results (Izugbara et
al, 2009). In fact, married women terminate a pregnancy in order todelay a
pregnancy or to limit the number of children or to avoid unintended pregnancy.
(Izugbara et al, 2009). Also,there is a needof contraceptionto limit births.
In fact, in Cote d'Ivoire 15 % of familial planning need is not satisfied
(UNICEF, 2013). There is also the fact that many pregnancies are undesired.
Thus, married women prefer to terminate a pregnancy. (Adjei, 2015). Economic
reasons (lack of money to meet the needs of a child) can be evoked to justify
this situation. (Svanemyr&Sundby, 2007). We can also mention the stigma of
a premarital pregnancy, an unstable relationship with a partner. There is also
the fact that some women think that they are too young to have a child. There
is also the lack of contraceptive methods and services may represent causes for
single women to terminate a pregnancy. This result is consistent with
research achieved by Izugbara et al, (2009). In this study, the intention to
reduce the number of children is cited by women as the reason to abort
(Izugbara et al, 2009). In addition, the finding showed that the education
level is significantly associated with the pregnancy termination. Moreover, it
is observed that when education level of women is higher, the more they are
more likely to have pregnancy termination (Mendame 2000). The influence of the
education level is reinforced with the control of cultural and economic
variables in the model2 and model3. In fact, in the model3, the odds ratios of
the variable remain significant. In addition, women of primary or secondary and
plus level are likely to practice pregnancy termination compared to women than
women who are not educated. In fact, educated women live in urban areas. Urban
areas have influence onwomen behavior factor with regard to sexuality. Many
educated women are more focused on their professional career before having a
child. Also, because of the fact women whoare students and are not married
prefer practicing pregnancy termination in order to fulfill their scholarship
or before they get married. Educated women have good knowledge and attitude in
favor to the contraceptive methods, but the fact that they cannot satisfy the
unmetneed for contraception methods needs push them to practicepregnancy
termination in order to avoid an unintended pregnancy.
In addition,women without work are less likely to practice
pregnancy termination compared to those who work. According toIzugbara et al.
(2009) loss of jobs and poverty. Then in consequent, those women have the
desire to limit their number of children or want to delay a pregnancy. Also,
this situation can be explained by the lackof avaibility of contraceptive
methods and family planning services. Looking the at the employment status
(occupation), this variable is significant at 5% level in the model2, but
becomes not significant in the model3 after the introduction of contraceptive
method, number of living children women and female circumcision variables.
These results show the action of work status passed through this group of
variables.Also, the household wealth status variable has a significant effect
on pregnancy termination.In this study, it is observed that richest women are
more likely to practiced pregnancy termination than poor women. This finding is
similar with several other studies in Africa. Indeed, according to Adjei et
al.(2015) wealthiest are found to be more likely to have an induced
abortion.Women who are rich are likely to practice pregnancy termination.
(Adjei et al, 2015). In model2 and model3, this variable remained significant.
Controlling this variable with the occupation, most of rich women live in urban
area, wherethey have the opportunity to get family planning services and
obstetric care but the unavailabilityof contraceptive methods and services may
push them to practice apregnancy termination in order to avoid an unintended
pregnancy. Thus, they have the chance to get a healthcare assistant for the
obstetric care. Those women have access to obstetric care but have unmet needs
for familial planning. Thus, all these situations push them propensity to
practice abortion to avoid undesired pregnancy.
Moreover,the effect of the contraceptive method remains
significant from the bivariate analysis to the final model (model3). Women who
don't use contraceptive method have a high inclination to pregnancy termination
compared to women who use contraceptive method. Those women don't have enough
knowledge of contraceptive methods. This variable has adirect actionon
pregnancy termination.In fact,contraceptive methods are used by woman to avoid
unintended pregnancy or to limit their children. This variable is very relevant
sincebecause its influence on the model (model3) is important after the control
of the sociocultural and socioeconomic variables and the other
variables.Failure of contraceptive method can explain the fact that women using
contraceptive method are more likely to practice pregnancy termination. Thus,
women practice a pregnancy termination when a contraceptive method fails
(Adjehi, 2015). This result suggests that, women used contraception method as
an option as a family planning for unplanned pregnancy in the case of a
contraceptive method failure. (Musalu, 2006).In addition, pregnancy termination
is significantly influenced by the number of children a woman already has. The
number of living children of a woman significantly influences pregnancy
termination. Indeed, woman without children have less propensity to practice
termination pregnancy. The action of this variable passes through
contraceptive use method. Thus,women want to limit their numberof children by
using contraceptive methods. Thus, when this method failed and these women
have unmet need for contraception pushed them to terminate their pregnancy.
However, contrary to the other variables, the place of residency,
occupation and female circumcision variables are significantly associated with
the pregnancytermination. However, this study presents few limitations such as
the combination of spontaneous, induced abortion and miscarriage into one
variable (pregnancy termination). Also, there are problems of abortions and
miscarriage estimations.
Conclusion
Pregnancy termination is a serious public health problem that the
governments of developing countries want to fight with the support of
international organizations.Few studies have examined the phenomenon, due to
lack of data related to its illegality such as induced abortion. Among those
available, very few have actually examined factors that might find factors
associated with this practice. Our goal was to identify the factors associated
with pregnancy termination.For the review of the literature section we are
interested in different explanatory approaches to pregnancy termination in
Africa, to the evolution of legislation and ideological debates. A review of
the literature guided us to identify the different variables that may determine
pregnancy termination. We were able to identify later the specific assumptions.
Thus, this study generally assumes that pregnancy termination depends on
socioculturalsocioeconomic factors, contraceptive methodsuse, number of living
children. The methodology section presented the data sources used for the study
and theanalysis method. The data used for this study are from the first
Demographic and HealthSurvey of Cote d'Ivoire achieved in 2012.It was conducted
in two phases for the analysis of data: first a bivariate analysis and then a
multivariable analysis.
The main results of the descriptive analysis showed that most
ofindependent variables (age, religion, marital status, education level,
occupation, household wealth, number of living children and contraception use)
are statisticallyassociated with pregnancy termination. Overall, the
relationship test showed a strong correlation between the independent variables
and pregnancy termination.Logistic regression models were used to highlight the
influence of socio-economic, socio-cultural and institutional factors on
pregnancy termination. Regarding the explanatory analysis, we used logistic
regression, allowing us to identify the factors influencing pregnancy
termination in Cote d'Ivoire.
After the analyses, it appears thatpregnancy termination is under
the combined action of sociocultural, socioeconomics and institutional
factors.
- For the socio-cultural factor, the results show that it is the
women reproductive age, religion and marital status that influence thepregnancy
termination.
- For socioeconomicfactors, it appears that, education level,
occupation and household wealth are the main factors associated with the
practice of pregnancy termination in Cote d'Ivoire
- Regarding the institutional factors, the findings show that the
contraceptive methods women have an effect on the pregnancy termination. And
the other factors such as number of living children influence the pregnancy
termination.
The logistic regression models brought out the mechanisms behind
pregnancy termination.Looking at the study results reached it is necessary to
make the following recommendations.
Recommendations
Based on the results of this research project and to address the
burdenof unsafepregnancytermination, the following recommendations are provided
for consideration:
implementation recommendations, recommendationstoimprove the
research studyand recommendations for future study.
Recommendation for Implementation
1. To reduce the consequences of inadequate management of
complications
of abortion, the Ministry of Public Health should increase the
number ofqualified medical personnel for the treatment of pregnancy termination
and specially abortions.
2. Improving access to induced abortions through intensified
educational programs on the current abortion law and its provisions.
3. Ameliorate the rights of persons necessitating abortion
services in Cote d'Ivoire.
4. Local, national and international organizations could use the
results of this study to intensify the information and education of the
population about the dangers of abortions and associating religious authorities
in the programs.
5. Results of the study should be shared with the Department
Public Health in order todevelop plans of action that address specific issues
related to pregnancy termination.
6. Department of Health and International Organization should
make contraceptive methods accessible and affordable for women
Recommendation for the Research Study
1. The study is at community level but in order to get a good
estimation of pregnancytermination, it is crucial to add hospital-based (public
and private) datato the data collected to better understand the main risk
factors that can helpto address specific problems.
2. The section of pregnancy termination must be well documented
in the questionnaire in order to get accurate informations and data.
Recommendation for Future Study
1. Researchers must clarifyother factors that can be associated
with the pregnancy termination such as psychosocial factors.
2. In order to provide a better estimation of pregnancy
termination it is recommended to achieve a specific survey on spontaneous,
induced abortions and miscarriages;
3. There is a need for qualitative researches to understand
better the key risk factors for induced abortion to help plan specific
interventions aimed at eliminating abortion-related health risks.
4. Researchers shall use data from a nationally- representative
sample of public and private health facilities of medical records.
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