Intro
With the spread of assisted human reproduction techniques throughout the world, the
number of infertile couples seeking assisted reproduction services for conceiving a
child is increasing ( Fideler& Bernstein,
1999 ).
The World Health Organization (WHO) estimates that in developing countries there are
10 to 15% of couples of childbearing age, with an increasing incidence in relation
to age, that cannot bear a child by natural methods, which means that 1 in every 7
couples is considered infertile ( Mascarenhas et al,
2012 ; Sembuya, 2010; Chachamovich,
2010 ). Data from the Brazilian Institute of Geography and Statistics
(IBGE) shows that, in Brazil, there are approximately 4 million couples with
infertility ( IBGE, 2010 ).
Infertility is considered a disease of the reproductive system, defined by the
absence of clinical pregnancy after 12 months of regular sexual intercourse ( US Department of Health and Human Services,
2014 ). The impossibility of conceiving a child has a significant impact
on the health and well-being of the couple ( Fideler& Bernstein, 1999 ), making it not only a problem of the
private network, but a public healthcare issue now ( Mascarenhas et al ., 1990 ; Cui, 2010 ; Macaluso et
al ., 2010 ).
In many developed countries, the government finances human reproduction treatments,
especially in-vitro fertilization. Studies show that even couples who have access to
human reproduction services at the public healthcare system face socioeconomic,
racial, ethnic and financial barriers to continue the treatment ( Macaluso et al ., 2010 ; Bitler & Schmidt, 2006 ; Chandra & Stephen, 2010 ).
In 2010, with the goal to facilitate access to human reproduction treatment, Canada
began to fund up to three cycles of in-vitro fertilization per couple. Since then,
there has been a change in the socioeconomic profile of couples who started
treatment at the public healthcare system, increasing the number of unemployed, low
income and low educational level patients. The number of couples who sought assisted
reproductive treatment, through the public healthcare system, because of secondary
infertility, doubled after the deployment of this healthcare policy ( Togas et al ., 2013 ).
Most infertility treatments performed in developing countries are carried out at
private clinics, and they are generally sought by older patients, Caucasians, with
low body mass index (BMI) and high socioeconomic status, when compared to those
seeking treatment at the public healthcare system ( Macaluso et al ., 2010 ; Bitler& Schmidt, 2006 ; Chandra & Stephen, 2010 ).
There are about 106 fertility-treatment clinics registered by Sisembrio/Anvisa of
which only 8 are qualified to perform human assisted reproduction procedures by the
Public Healthcare System (SUS) in Brazil. ( Makuch
et al ., 2011 ; SisEmbrio2015 ). Most of them are private, limiting access to treatment,
and the cost is still unmatched by the financial possibilities of most of the
population. In addition, public assistance programs do not always cover all the
costs of assisted reproduction care ( Souza,
2014 ). The public healthcare system should include human reproduction
treatment in their healthcare programs, ensuring the access for more people.
The aim of the study was to evaluate the socioeconomic profile and the main causes of
infertility affecting couples seeking assisted reproduction treatment through the
public healthcare system in the city of Campos dos Goytacazes. The assessment of
this data should contribute to the development of healthcare strategies and
policies, in order to facilitate access to high complexity infertility treatment at
the public healthcare system.
Results
From the 600 analyzed records, 37 were excluded because they did not have any
information or had incomplete data on the variables, and 563 were used in the study.
From these, 2 patients chose to be a single parent.
Eighty-five percent of the couples had not done been submitted to any treatment for
infertility, and 15% had had some kind of low or high complexity treatment. Male
factor was the cause of infertility in 34% of the couples, and among the main causes
for this male factor, 76% was due to varicocele, 13% due to vasectomy, and other
causes amounted to 13%. Tubal factor, due to tubal ligation was the cause of
infertility in 31,7% of the couples, and other tubal disorders corresponded to 16.3%
of cases. Ovarian factor, endometriosis and uterine causes accounted for 8.4%, 5.9%
and 1.1%, respectively. Unexplained infertility was the cause in 2.3% of these
couples ( Figure 1 ).
Figure 1 Main causes for the infertility treatment demand.
Main causes for the infertility treatment demand.
Regarding age, 56% of infertile women were under 35 years; 27% were between 35 and 39
years of age, and 17% were 40 years old or more. Regarding family income, 4.4% of
the couples earned less than 1 minimum wage, 58% had an income between 2 and 3
minimum wages, 25.8% between 4 and 5 minimum wages, and 11.7% of the couples had a
monthly income higher than or equal to 6 minimum wages ( Figure 2 ).
Figure 2 Profile of the average family income (%) of the surveyed couples.
Profile of the average family income (%) of the surveyed couples.
Regarding the group of infertile women broken down by age, it was found that those
younger than 35 had the male factor as the main cause of infertility, with 43,2% of
cases, the majority (61.9%) earning between 2 and 3 minimum wages; they also had
completed high school (45.5%) and had no children (74%). We found that 23.4% had had
previous marriage and 57.5% had not been submitted to any previous treatment for
infertility. Among women 35 to 39 years old, the leading cause of infertility was
tubal factor - tubal ligation, corresponding to 38.8% of cases in this age group;
52% earned between 2 and 3 minimum wages monthly; 43.4% were high school graduates;
58.6% had no children and 22.4% had two children. Of them, 38.2% had had no prior
relationship and about 30% had previous treatment for infertility. Of patients over
39 years, the most common cause of infertility was tubal ligation (42.9%); over half
of them (55.1%) earned between 2 and 3 wages; 41.8% had completed high school, 54.1%
had no children, 22.4% had two children and 13.3%, had one child only; 45.9% had no
previous union and 17.1% had not been submitted to previous infertility treatment
( Table 1 ).
Relationship between infertile women age and infertility causes.
Regarding the number of children among the patients receiving a minimum wage or less,
76% had no children, 16% had two children and 8% three or more. Of those who earned
two to three minimum wages, 62.2% had no children, 18.7% had two, 5.5% had three
children and 1.2% had more than three. Between 4 to 5 minimum wages, 66.3% had no
children, 17.9% had two, 9.7% and 2.1% had three and more than three children,
respectively. At the six or more wages range, 81.8% had no children, 9.1% had two
and 7.6% had three or more children.
Upon associating education to infertility causes and number of children, we found in
patients with Junior High school degrees, the main cause of infertility was tubal
factor 1, with 49.7%, followed by male factor with 23% of cases. Tubal factor 2,
ovarian factor and endometriosis were 18.6%, 5.0% and 2.5 %, respectively. 43.5% had
no children, 14.3% had one, 27.3% two, 11.2% three and 3.7 % more than three
children. Among patients who had completed High School, the main infertility cause
was the male factor (37.3%), followed by tubal factor 1 (30.9%) and tubal factor 2
(15.7%). 7.2% had an ovarian factor and 3.6% endometriosis. 7.5% had no children,
7.2 % had one, 18.5 % had two, 6.4% and 0.7 % had three and more than three
children, respectively. Regarding Higher Education, the main cause of infertility
was the male factor (40.1%), followed by tubal factor 2 (14.4%). Endometriosis and
ovarian factor corresponded to 13.8 and 13.3%, respectively; and tubal factor 1,
13.1% of cases. 88.8 % had no children and nobody had more than three children in
this group ( Table 2 ).
Relationship between causes of infertility and number of children, with
education.
Discussion
Despite the spread of treatment methods, human reproduction is still restricted to
couples with better socioeconomic level, who can afford the cost of treatment, since
this remain the major impediment to reproductive treatment access ( Fideler& Bernstein, 1999 ; Macaluso et al ., 2010 ).
A Canadian study evaluated the profile of patients who received human assisted
reproduction treatment before and after the country's government started to finance
up to 3 cycles of in-vitro fertilization for proven infertile couples ( Macaluso et al ., 2010 ). Before
the implementation of this healthcare policy in Canada, couples seeking infertility
clinics were mostly Caucasians, with high socioeconomic level, higher educational
level, higher family income, low BMI and the women were older ( Macaluso et al ., 2010 ). After the government
policy, the profile of Canadian couples who were seeking infertility treatment
changed. The women were younger, with lower family income and lower educational
levels ( Macaluso et al .,
2010 ). The changing profile reflects the large existing financial barrier
between couples and access to treatment, such observation corroborates our data
regarding the profile of couples who sought access to our service.
The main infertility cause among American couples, according to a study carried out
in 2014 by the United States Department of Health and Human Services, is the tubal
factor followed by the male factor ( US Department of
Health and Human Service, 2014 ). The results obtained in our study
reinforces the data found in the American literature, as 47.7% of couples seeking
this treatment had tubal factor as a cause of infertility followed by the male
factor, with 34%.
In 2012, a study carried out to estimate the trend and the prevalence of global and
regional infertility since 1990, analyzed household survey data obtained through the
application of demographic research and reproductive health questionnaires in
several countries in Europe, Asia and Africa ( Mascarenhas et al. , 2012 ). This study investigated both
primary and secondary infertility.
There was little change in the prevalence of infertility between 1990 and 2010 in
various regions of the world, except Africa and South Asia where there was a marked
decrease during such time period ( Mascarenhas
et al ., 2012 ). In areas where prevalence did not
change much, there was an actual decrease in fertility because fewer couples tried
to have children.
The overall loss of fertility in women was mainly related to old age at the time
chosen to conceive a first child. They were usually women aged over 35 years with
higher socioeconomic level and higher education, when compared to women with
secondary infertility, who already had children and had decreased fertility over the
years.
In our study, we also found that the higher the monthly income of the couple and the
higher the educational level, the lower the number of children. On the other hand,
couples with more children were those with lower socioeconomic status, lower family
income and lower educational level, as described on table 2 .
Still, by sorting patients by family income, we found that the difference in
fertility rates was not significant among women under 35 years, 36-39 years and
above 39 years of age in each group, showing that in the same socioeconomic status,
the infertility rate was similar among younger and older women. Therefore, the
factor that contributes to the profile of patients seeking infertility treatment at
the public healthcare system is the socioeconomic status, especially the lower
status, nor the age factor as it happens in the private system ( Figure 3 ). According to Mascarenhas et al, this is so because
the lower the socioeconomic status, the higher the number of children, regardless of
the woman's age in these lower socioeconomic tiers, secondary infertility being
predominant, mainly by tubal ligation (80%), which may reflect a policy of family
planning with conflicting concepts. While at higher socioeconomic levels, the number
of children is lower, and infertility occurs because of other factors, such as
planning children after professional success and financial stabilization, with
primary infertility as leading cause of infertility in this group ( Mascarenhas et al., 2012 ).
Figure 3 Relationship of couples seeking assisted reproduction treatment through
the public healthcare system in each group of women, broken down by age
( 39 years) according to family
income.
Relationship of couples seeking assisted reproduction treatment through
the public healthcare system in each group of women, broken down by age
( 39 years) according to family
income.
Still on the educational level, the presence of 43% of childless couples in the group
with junior high education may reflect the impact of this change upon behavior in
the planning of families. This is supported by the observation that the number of
children increases parallel to family income. This observation of reproductive
behavior contrasts the outdated concept that infertility is a luxury of an elite
group and the least favored population need birth control due to the number of
children/family members. This data is consistent with the observations of other
studies and the Brazilian reality according to IBGE surveys (2010).
In 2009 the Department of Economic and Social Affairs of the United Nations published
fertility information from the world, age trends upon first conception, number of
children, contraception methods and family planning ( United Nations, 2011 ). The results of this 2009 publication were similar
to data released by the WHO in 2011, linking the main cause of infertility in
developing countries, including Brazil, to tubal factor, and largely due to tubal
ligation, used as a contraceptive method ( Mascarenhas et al. , 2012 ; United Nations, 2011 ; OECD,
2015 ).
The explanation for these results is that in developing countries, where most of the
population is less socio-economically favored, women have children at a younger age
and the number of children is higher, getting the final surgical sterility used as a
contraceptive method in wide scale and earlier ( United Nations, 2011 ; OECD,
2015 ).
Over the years, most of these women engage in new relationships and again have the
desire of getting pregnant. On the other hand, in developed countries, primary
infertility plays an important role, especially the older ones that plan their first
pregnancy ( Mascarenhas et al .,
2012 ; United Nations, 2011 ; OECD, 2015 ).
This same study ( United Nations, 2011 ) showed
that the highest percentage of tubal ligation is performed in lower-income women
with less education, being the leading cause of demand for infertility treatment. In
contrast, endometriosis and tubal factor for other diseases of the tubes, except
tubal ligation, are the main causes of infertility in women with higher
socioeconomic status ( United Nations, 2011 ;
OECD, 2015 ). These results were similar
to those found in our study.
Our results also reflect this reality, although there is a behavioral change in trend
in the population, in terms of family planning these concepts are active.
In Brazil there are 106 fertility clinics registered by Sisembrio/Anvisa, of which
only 8 are certified to perform human assisted reproduction procedures by the Public
Healthcare System (SUS) ( Makuch et
al ., 2011 ; SisEmbrio
2015 ). The waiting time for infertile couples to start treatment at the
public services is usually long, causing some services to often having to stop
servicing new couples in order to reduce the wait of those already awaiting
treatment ( Souza, 2014 ).
Still, most of these centers do not bear all expenses of infertility treatment and/or
do not offer the assisted reproduction techniques at all levels of complexity. Even
some couples starting treatment at the public healthcare system (SUS) have to pay
for essential laboratory tests, afford the medication used, and they have restricted
number of induction cycles allowed ( Souza,
2014 ). Only in five human reproduction centers in Brazil patients do not
need to bear the cost of the stimulus protocol and they do not have limited number
of cycles to be performed ( Makuch et
al ., 2011 ). Our Infertility and Fetal Medicine Center at the
Alvaro Alvim Teaching Hospital, is one of those centers where treatment is fully
paid by a public program of municipal healthcare, although some supplemental tests
are not included.
Brazilian studies ( Souza, 2014 ) reported that
another important factor of human reproduction in the country is that not all
couples have access to assisted reproductive services by the public healthcare
system, because the centers themselves establish inclusion and exclusion criteria,
or because most of them are located in big cities, providing services only to
couples living in those regions, restricting access to many who live in remote
areas.
Data from the Demographic and Health Survey - 2006 ( PNDS, 2009 ) reported that in the last five years preceding the
publication, 46% of births derived from unplanned conceptions and other 18% from
unwanted conceptions. Although it corroborates events in countries where assisted
reproduction is part of a public assistance program, in addition to the clear need
for attention to these couples that have their reproductive rights hampered, these
data show a clear need for implementation and intensification of public actions
regarding reproductive planning.
According to the Family Planning Act 1996 (Act 9263), Article 226, paragraph 2, one
can understand that "family planning is a set of fertility regulation actions that
ensure equal rights under the constitution, limiting or increasing the progeny of
women, men or the couple;" and among the specified actions listed on paragraph 3,
assistance in contraception and conception, making family planning a set of global
and comprehensive framework of actions. Thus, according to the commitments
established by the Constitution, based on the principles of the SUS, it would be up
to the State to provide the treatment of both low and high complexity and bear the
high cost of assisted reproduction ( Garcia et
al ., 2012 ).
The term reproductive planning seems to be more illuminating than the usual "family
planning" that can be confused with acts of "birth control". According to the
National Demographic and Healthcare of Children and Women17, an effective
reproductive planning policy offering clarification on contraceptive and conceptive
methods, seems to be the best way to improve reproductive assistance and change this
situation.
Conclusions
The profile of couples seeking the public healthcare system for infertility treatment
is: low-income, low education, having more children and the tubal factor, due to
tubal ligation, is the major cause of infertility. The cost of treatment is still a
limiting factor for most couples and effective public healthcare policies could
minimize the problem, since it is still outdated and not comprehensive in this
field.
The public healthcare system cannot meet all the demand, and infertility treatment is
restricted to a minority who can afford the services on the private healthcare
network. Reproductive rights and their enforcement depend on access to reproductive
planning services, for both contraception and conception care. Public policy should
be adopted for the State to guarantee reproductive rights at all levels of
complexity.
Materials|Methods
We ran a cross-sectional retrospective study, analyzing 600 medical records of
couples who sought the Infertility and Fetal Medicine Center at the Alvaro Alvim
Teaching Hospital in the city of Campos dos Goytacazes-RJ from January 2008 to July
2014.
The records containing information on the variables were included in this study. The
records that did not have any information or had incomplete data on the variables
studied were excluded.
The patients were divided into three groups: GI, up to 35 years of age; GII, 35 to 39
years; and GIII, aged greater than or equal to 40 years. In each group we
investigated the cause of infertility, the number of children from spouses, women's
educational levels, family income and the existence of previous unions.
The monthly income of the couple was based on the minimum wage value at the time of
the study, equivalent to U$ 253.40 and it was divided into four groups: GI, couples
with family income less than or equal to 1 minimum wage; GII, couples with family
income between 2 and 3 wages; GIII, couples with family income between 4 and 5
wages; GIV couples with family income above six minimum wages. Any kind of prior
marriage or stable union was considered as previous marriage.
The causes of infertility were divided into groups: tubal factor 1, patients with
tubal ligation as a permanent method of contraception; tubal factor 2, patients who
had any obstructive pathology of the tubes, except for tubal ligation;
endometriosis, including any grade of disease, all the way to superficial
endometriosis in woman with absence of clinical pregnancy after 12 months of regular
sexual intercourse; ovarian factor, patients with low ovarian reserve in woman with
absence of clinical pregnancy after 12 months of regular sexual intercourse,
premature ovarian failure, polycystic ovaries and anovulation; uterine factor,
patients with myometrium or endometrium pathologies such as polyps and submucosal
fibroids, intramural fibroids with an intracavitary component or any size fibroids
distorting the uterine cavity, poor Müllerian formations and adhesions; male
factor, made up of patients with alterations in the semen analysis - according to
World Health Organization criteria of 2010. Among patients with male-related
factors, we evaluated the possible cause of infertility, such as the presence of
varicocele, vasectomy, testicular trauma, and other male genitourinary tract
diseases that contribute to changes in semen - such as previous history of orchitis,
testicular or epididymis tumors or cryptorchidism.
There was a group of couples with unexplained infertility, established when all other
causes of infertility surveyed were excluded.
Any low complexity (timed intercourse, ovulation induction and intrauterine
insemination) or high complexity (in-vitro fertilization and intracytoplasmic sperm
injection - ICSI) treatment for infertility held previously to the couple's entry
into the service was considered as prior treatment.
To setup a database we used Microsoft Excel spreadsheet to plot the data. Responses
were numbered and participants were identified by means of codes. The data was
plotted and analyzed in the Minitab software, version 15.1.1.0 (2007) and presented
in graphs and tables plotted on the Excel spreadsheet. Data was analyzed using
descriptive statistics and presented in the frequency of occurrence of each
variable, to be expressed in absolute numbers and percentage.
The study followed ethical procedures and was approved by the Ethics Committee of the
School of Medicine of Campos.
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