Intro
Advances in assisted reproductive technology (ART)
offer new methods of getting pregnant and make parenthood
possible for people deprived of having children
for various reasons ( 1 ). Although these technologies
are a ‘marriage saver’ for those left without a child
( 2 ), give hope to millions of infertile couples ( 3 , 4 ) and
help them to realize their dream of raising a family ( 5 ),
not all infertile couples use reproductive technologies
( 6 ) and the demand for these treatments is unexpectedly
low ( 7 ). In fact, only half of infertile couples around
the world seek treatments ( 7 , 8 ). Deciding whether or
not to use these technologies is definitely difficult ( 9 ),
and many sociocultural, ethical, legal and religious
challenges surrounding different aspects of ART, such
as donor conception, can affect the practical use of
these technologies ( 3 , 4 ).
Deciding to use these technologies is influenced by
people’s perceptions and the society’s expectations and
attitudes toward their use ( 6 ). In other words, sociocultural
beliefs affect couples’ tendency toward using
these methods ( 10 , 11 ) and influence the rate of employment
of these technologies by couples ( 12 ). Infertile
couples who have a child born through donor
conception, experience great prejudice not only by the
society but also by their family, relatives and friends. In
developing countries, the family’s rejection and social
pressures are among the factors affecting the decision
about seeking a method of treatment and the choice of
treatment is made under the heavy influence of family
members ( 13 ). Many infertile couples suffer from the
stigma of infertility and seeking treatment, and try to
keep their condition a secret ( 14 ). They feel that they
will be ethically judged for their infertility and their
decision to use ART ( 15 ). The individual’s beliefs and
attitudes may be the most important determinant of his/
her actions. Individuals with strong spiritual beliefs
and specific sociocultural beliefs may adopt approaches
and treatment methods that are different from those
adopted by other infertile individuals, and their use of
donor conception is also influenced by different factors,
as they attribute different meanings to their condition
and its treatment and interpret them differently
( 16 ). Some infertile couples for whom donor conception
is the only way of becoming parents, they might
prepare themselves for a childless life or accept to
adopt a child and reject medical treatments. Some others,
in contrast, try all the available treatments in different
medical centers and greatly invest for this goal
both in material and emotional terms ( 17 ). Sociocultural
beliefs may also affect people’s religious beliefs
( 18 ). In other words, cultural factors can reinforce or
inhibit religious attitudes toward the use of ART. Religion
also plays a major role in the use of ART, as it
affects people’s views and social norms. It is difficult
to have access to ART in countries with religious dogmatism
( 2 ). The decision on the employment of ART is
made according to the laws of the society ( 19 ). Laws
have a significant effect on the access to ART ( 2 ). In
some countries, donation is a process, while in others,
there are limited rules. In New Zealand, embryo donation
is a key process that is based on rules and policies
( 20 ), while in Australia, there are few rules about the
donation process ( 21 ). Laws are largely based on the
sociocultural state of the society and its ethical, spiritual
and religious values ( 19 , 22 ). The limited number
of donors is also one of the main practical factors affecting
most couples’ decision about the selection of a
donor ( 23 ). Economic issues also affect the access to
ART ( 24 ).
Deciding about the use of donor conception services
is therefore a complicated and difficult process for couples
which challenges their values and beliefs. Making
this decision is a complicated social and interactive
process that is under the influence of various individual,
social, economic, cultural, psychological and ethical
factors and is affected by the couple’s interactions
with each other and with their family, friends, health
workers, key people, etc. It is therefore necessary to
develop a scale for identifying the determinants of infertile
couples’ decision about using donor conception
to perform supportive interventions that improve the
decision-making process and reduce the outcomes of
the decision including regret. A review of the literature
did not show any instruments developed for direct
measurement of the subject in question. Given the complexity
of the decision-making process about this issue
and the absence of an instrument for its assessment, the
present study was conducted to fill the gap, develop
a decision-making for donor conception questionnaire
(DMDCQ) and determine its psychometric properties
in Iranian infertile couples.
The scale developed in this study measures the determinants
of infertile couples’ decision-making and
can help specialists to understand the issues around
infertile couples’ decision making concerning the use
of ART and design individual and public training programs
and instructional decision-making packages for
resolving the barriers and thus reducing the need for
unnecessary interventions.
Results
A total of 220 infertile men and women who met the inclusion
criteria participated in this psychometric assessment.
Table 1 presents the demographic and infertility
characteristics of the participants.
The demographic and infertility-related characteristics of the participants
SD; Standard deviation.
Based on the results of the qualitative content analysis,
an item pool was composed of 170 items, and the ambiguous
and repetitive items were removed after the revision
done by the research team. Eventually, 113 items
were developed in five dimensions or constructs, including
being offered to use donor conception (ten items),
inner turmoil (four items), attempts for coping with the
current conditions (23 items), deciding to accept and use
donor conception (54 items) and deciding to undergo
treatment (22 items), which entered the psychometric
assessment phase. The evaluation of face validity, which
was performed qualitatively and quantitatively, led to
the removal of eight items, and the questionnaire entered
the content validity evaluation stage with 105 items. The
content validity was also evaluated both qualitatively
and quantitatively and 28 items were removed, leading
to the existence of 77 items. In the stage of initial reliability
evaluation, the Cronbach’s alpha was calculated
separately for each item, eight items were removed, and
the remaining 69 items entered the construct validity
evaluation stage. It should be noted that the questionnaire’s
reliability increased to over 0.7 once these items
were removed, and according to the researcher, their removal
did not destroy the basic information required.
The initial Cronbach’s alpha calculated for the entire
scale was 0.82.
To determine the construct validity of the scale,
220 participants were selected through convenience
sampling to complete the questionnaire. There was no
sample dropout. The collected data were entered into
SPSS-22. The PCA showed that the correlation between
two of the items and the other items was <0.3;
thus, both of these items were removed and the factor
analysis was continued with 67 items. The KMO
measure for the items was 0.768, which indicates the
sampling adequacy. The Bartlett's test of sphericity
showed the fit of the data for the factor analysis with
P0.4 for most
of the items in this study and the items were thus considered
fit for factor analysis. Five items with a community
statistic <0.4 were excluded from the study,
and the factor analysis was continued with 62 items.
Determining the number of factors constructing the
questionnaire using the factor analysis of the items
led to the identification of seven factors with eigenvalues
>2 and explaining 48.796% of the total variance.
The items were rotated and categorized in each
factor using a varimax rotation. Of the 62 items that
entered the factor analysis in this study, 51 items and
seven factors remained.
The factors were named based on the meaning of
their items, especially the meaning of the item with
the maximum factor loading, and with regard to the
correlation found between the items and the available
theoretical knowledge. The researcher referred to the
qualitative part of the study and the categories and subcategories
forming each item, in order to name the factors
( Table 2 ).
The factor loading of the Desision-Making for Donor Conception Questionnaire items in Iranian infertile couples
Table 3 summarizes the number of items in each subscale
and the range of scores for the entire DMDCQ and
its subscales.
The range of scores for the total and subscales of the DMDCQ
Table 4 summarizes the mean and standard deviation of
the total and subscale scores of the DMDCQ in the entire
sample of participants. When the total score of the questionnaire
and the scores of its subscales are higher, higher
numbers of individuals make positive decisions and the
couple will be more inclined toward donor conception in
the future.
The mean and standard deviation (SD) of the total and subscale scores of the decision-making donor conception questionnaire (DMDCQ) in the entire sample (n=220)
Min; Minimum and Max; Maximum.
The initial Cronbach’s alpha was 0.82 for the entire scale
and 0.75-0.87 for each subscale. The ICC was >0.7 for
all the factors, which confirms the high reliability of the
questionnaire ( Table 5 ).
The Cronbach’s alpha and intraclass correlation coefficient (ICC) of subscales and the entire questionnaire
Discussion
The questionnaire developed in this study is the first
and only valid and reliable scale developed and psychometrically
assessed in the world, concerning donor conception
decision-making. The questionnaire consists of
51 items within seven factors, including the role of social
networks, coping strategies, the decision to disclose
or conceal, interpersonal relationships, religious quests,
donor’s characteristics and challenges in the process of
treatment. These seven factors explained 48.796% of the
total variance.
A review of the literature showed that no specific scale
was developed for donor conception decision-making for
infertile couples. Decision-making scales such as Flinders’
decision-making questionnaire and the Melbourne
decision-making questionnaire with different numbers of
constructs, mostly address general issues.
Flinders’ decision-making questionnaire was developed
in 1982 by Mann, for the measurement of coping patterns
and strategies for decision-making in conflict resolution
and consists of 31 items and three constructs, namely vigilance,
hyper vigilance and defensive avoidance (including
procrastination, buck-passing and rationalization). Mann
et al. ( 34 ) examined the construct validity (confirmatory)
of Flinders’ decision-making questionnaire in different
cultural contexts (i.e. in the United States, Australia, Japan,
Hong Kong, Taiwan and New Zealand). They eliminated
the rationalization factor because it was not a good
fit for the model and developed a new questionnaire called
the Melbourne decision-making questionnaire, consisting
of 22 items and four constructs, including vigilance,
hyper vigilance and procrastination and buck-passing,
and it replaced Flinders’ decision-making questionnaire.
Although the “rationalization” construct was eliminated
from Flinders’ decision-making questionnaire through the
confirmatory factor analysis, coping strategies (including
the use of rationalization and relaxation strategies) comprise
an important factor of the DMDCQ, perhaps owing
to the special nature of donor conception decision-making
for infertile couples or because of the differences in the
cultural contexts examined. A number of items from the
Melbourne decision-making questionnaire was incorporated
into the various items of the DMDCQ, such as the
item “I may have to accept donor conception in order to
free myself of other people’s babble”, which is similar to
the item “I do not decide unless I really have to” in the
Melbourne decision-making questionnaire.
Decision-making instruments about health issues include
the decisional conflict scale (DCS), which measures
decisional conflict in patients and contains 16 items
and three subscales, including uncertainty in making a
health-related decision, modifiable factors contributing to
uncertainty and perceived effective decision making ( 35 ).
This scale was translated into Dutch, French and Spanish
and psychometrically assessed ( 36 ). Some of the items in
the DCS have been incorporated into the various items
of the DMDCQ, such as the item “The support of others
(including my spouse and family) accelerates my decision
to use donor conception”, which is similar to the item
“I have enough support from others to make a choice”
in the DCS. A difference between the two scales is that
one of the subscales in the DCS is about perceived effective
decision-making, which indicates the user’s degree of
agreement about the informed decision, its compatibility
with her personal values and her satisfaction with her decision.
The scale developed in the present study, however,
lacks a similar factor.
The decision-making scale for women with unplanned
pregnancy is another decision-making scale in gynecology,
which was developed by Nourizadeh et al. ( 37 ). This
questionnaire consists of two scales that measure two important
concepts of decision-making in women with unplanned
pregnancy. The first scale measures the concept of
perceived threats and is composed of 33 items within six
factors, including fear of anomalies and violation of the
norms, fear of difficulty and the aggravation of instability,
fear of parental responsibility and commitments, fear of
abortion and escape from abortion, role conflicts and social
deprivations, and fear of negative physical-emotional
consequences. The second scale measures decision-making
style and strategies in women with unplanned pregnancy
and consists of 27 items within four factors, including
resistance against acceptance, avoidance-justification
strategies, analytical strategies and confirmatory strategies
( 37 ). Coping strategies (the use of rationalization and
relaxation) comprise an important factor of the DMDCQ
that is similar to the decision-making scale for women
with unplanned pregnancy, in which justification strategies
(rationalizing to oneself and others) also comprise an
important factor. Some of the items in the decision-making
scale for women with unplanned pregnancy have been
incorporated into the various items of the DMDCQ, such
as the item “If I use donor conception, I won’t inform others
of my decision, because I fear their negative reaction
(blaming, humiliation and ridicule) toward myself and my
child”, which is similar to the item “I have hidden my
pregnancy from others because I am inclined toward abortion
and fear others’ objection or obstruction of abortion”
in the decision-making scale for women with unplanned
pregnancy. The review of items showed that both scales
emphasize the role of social norms in decision-making in
a way that the violation of norms is a barrier to decision-making. Consequently, people who decide to use donor
conception may try to conceal it in order to avoid others’
blames. A difference observed between these two scales is
that confirmatory strategies comprised one of the factors
in the decision-making scale for women with unplanned
pregnancy, which is concerned with others’ approval and
indicates counseling for the purpose of making a rational
and acceptable decision. The instrument developed in the
present study, however, does not include such constructs.
The general strengths of the questionnaire developed in
this study include its specificity and its ease of completion.
The average time taken to complete the questionnaire
was 10-15 minutes depending on the respondent’s
literacy.
One of the limitations of this study was the limited number
of samples applying for donor conception in the only
governmental infertility center in Mashhad. Other limitations
included sampling from the men, as some of their
wives opposed to be interviewed. Also, due to the uniqueness
of the study tool, it was not possible to compare the
results with other countries or check the tool’s empirical
validity. Respondent bias was another limitation of this
study.
Conclusions
The DMDCQ can contribute to the development of an
instructional decision-making package and supportive interventions
for improving processes of decision-making
and reducing negative physical and psychological outcomes
and regrets by informing caregivers and counsellors
about the circumstances and procedures of decision-
making by couples.
Materials Methods
This cross-sectional validation study was performed
using the method developed by DeVellis in 2012 ( 25 ) in
four steps, after combining some of the stages:
In the first step, the concept under measurement (i.e.
decision-making for donor conception) was theoretically
defined. For the first step and in order to explain participants’
experiences regarding the process of decision-
making for donor conception, a qualitative study with
a grounded theory approach was performed in 2014 in
Mashhad, Iran, using individual interviews. A total of
38 participants including nine eligible infertile couples
(four couples who were candidates for receiving egg donation,
three couples candidates for receiving embryo
donation, one couple candidate for receiving egg and
uterus donation and one couple candidate for receiving
uterus donation) and 14 eligible women (seven egg
donor candidates, four embryo donor candidates, one
egg and uterus donor candidate and two uterus donor
candidates), were enrolled. The key people involved in
decision-making for donor conception, including two
gynecologists, two midwives and two clergymen, were
also interviewed during the theoretical sampling, and
this process was continued until the saturation of the
categories without any restrictions on the number of participants
and according to the theoretical requirements
of the study.
The inclusion criteria were being married, Iranian, and
infertile (either male or female infertility or both), having
no biological or adopted children, nor other spouses, having
the experience of using at least one ART in the past or
being under treatment with ART or in the waiting list to
receive ART, being willing to participate in the study and
being able to communicate and express their experiences.
The selected members of the infertility treatment team
had at least one year of experience of working with infertile
couples. The selected clergymen were experts in this
field and were interested in participating in the study. The
study was performed at Milad Infertility Clinic, Mashhad,
Iran. The participants were selected through purposive
convenience sampling with maximum variation in terms
of age, duration of infertility, duration of treatment, education
and socioeconomic status. Sampling was continued
until the saturation of the data. Data collection was
mainly done through semi-structured in-depth interviews
directed by the interview guide, that enabled the participants
to freely discuss the matter. All interviews were
done by one of the researchers. The interviews were conducted
separately with the infertile men and women, but a
couple interview was also held with both the husband and
wife if there was an obvious difference in their answers.
Each interview took 40-120 minutes and was held in one
or more sessions. The interviews were recorded with participants’
permission. Data were analyzed concurrently
using MAXQDA-2007 and five dimensions ultimately
emerged. The approval of the local Research Ethics Committee
of Shahid Beheshti University of Medical Sciences
was obtained along with the informed consent of all participants
before beginning the study.
In the second step, an item pool was produced using an
inductive method; for this purpose, items relevant to the
main concepts of donor conception decision-making were
developed based on the qualitative findings of the study
(n=170). Participants’ attitude toward each item was
measured on a 5-point Likert scale from “quite agree” to
“quite disagree”.
In the third step, the initial items extracted from the
qualitative study were reviewed by the research team and
the repetitive and ambiguous items were removed. Eventually,
113 items were developed in five dimensions, including
being offered to use donor conception (10 items),
inner turmoil (4 items), attempts for coping with the current
conditions (23 items), deciding to accept and use donor
conception (54 items) and deciding to undergo treatment
(22 items).
The face validity of the questionnaire was evaluated
both qualitatively and quantitatively in the fourth step.
To perform the qualitative evaluation, face-to-face interviews
were conducted with ten similar members of the
target group (four infertile men and six infertile women
who met the inclusion criteria) and difficulties in understanding
the words and phrases, the degree of inappropriateness
of the phrases or their irrelevance to the questionnaire
dimensions, ambiguities causing misunderstanding
of the phrases, or the words failing to convey a meaning,
were examined. Once the items were modified according
to the received feedback, the item impact was measured
quantitatively. The objective in this step was to determine
the item impact score in a sample that was similar to the
target group. For this purpose, each item was scored on
a 5-point Likert scale as follows: 5: “quite important”,
4: “somewhat important”, 3: “relatively important”, 2:
“slightly important”, and 1: “not important at all”. Ten
individuals similar to the target group (four infertile men
and six infertile women who met the inclusion criteria)
were asked to determine the importance of each item
based on their own experiences. The researcher calculated
the impact score (IS) for each item separately based on the
following equation ( 26 ):
Impact score=Frequency percentage×level of significance
Frequency percentage=The percentage of all the people
who have reviewed each item
The items with an IS <1.5 were considered inappropriate
and removed from the questionnaire ( 26 ).
The content validity of the questionnaire was evaluated
both qualitatively and quantitatively. For the qualitative
assessment of the content validity, the questionnaire was
distributed among ten specialists (Ph.Ds in reproductive
health or health education, and a number of gynecologists)
and they were asked to give their feedback on the
questionnaire. The content validity ratio (CVR) and content
validity index (CVI) were used for the quantitative
assessment of the content validity.
To determine the CVR, ten specialists were asked to review
each item on a 3-point scale (3: necessary, 2: useful
but not necessary, and 1: not necessary). The CVR was
then calculated based on Lawshe’s formula as follows
( 27 - 29 ).
CVR=(ne–N/2)/(N/2)
ne: The number of specialists who have selected the
“necessary” response
Based on Lawshe’s Table of minimum values, items
with a CVR >0.62 as per the evaluation of the ten specialists,
were deemed significant (P<0.05) and remained in
the questionnaire ( 27 - 29 ).
The CVI for each item was examined based on the Waltz
and Bausell CVI and the three criteria of simplicity, specificity
(relevance) and clarity were separately measured on
a 4-point Likert scale by the ten specialists. To calculate
the CVI for each item, the total number of specialists who
had given 3 and 4 points (i.e. the highest score) to that item
was divided by the total number of specialists (n=10). The
items with a CVI >0.79 were deemed acceptable ( 27 - 29 ).
The items with a CVI of 0.7-0.79 were reviewed by the
researcher and discussed again with the specialists. The
items with a CVI <0.7 were eliminated from the questionnaire
( 30 ).
After determining the face and content validity, the
initial reliability was calculated as the item analysis index.
For this purpose, 30 infertile men and women visiting
the infertility clinic were selected by convenience
sampling to complete the initial questionnaire, and the
Cronbach’s alpha was calculated to determine the internal
consistency for each factor as well as the entire scale.
Cronbach’s alpha values of 0.7 were considered favorable
in this study.
The construct validity was determined by exploratory
factor analysis. For analysis of the data, the exploratory
factor analysis was performed in seven steps: determining
the sample size, examining the correlation between
the items, deciding about the items being fit for the factor
analysis, determining the number of initial factors
extracted, rotating and extracting the final factors and
naming the factors.
According to Tabachnick and Fidell ( 31 ), evaluation
of the construct validity requires a sample size that is
three to five times larger than the number of items in the
scale. Given the number of items in the final questionnaire
(i.e. 69) and the potential sample loss, 220 subjects
were included in this study. The inclusion criteria consisted
of being married, Iranian, infertile (with male and/
or female infertility) and candidate for ART [intrauterine
insemination (IUI), in vitro fertilization (IVF), gamete
intrafallopian transfer (GIFT), and intracytoplasmic
sperm injection (ICSI)], and having enough information
about donor conception.
The correlation between each item and the other items
was examined by principal component analysis (PCA),
and the items that had correlation with the other items of
0.70, the set of data
is deemed fit for factor analysis. Bartlett’s test of sphericity
was also used to examine the fit of the data for
the factor analysis. If the P value is <0.05 in this test,
factor analysis is considered an appropriate technique
( 32 ). The community statistic was used to detect inappropriate
items whose variance was not used for explaining
the variance of the main factor. In this study,
the inflection point of 0.4 was taken as the minimum
factor loading required for keeping each item in the
factors extracted through the factor analysis. To extract
the required number of factors, a scree plot ( Fig .1 ) and
eigenvalues were used and the percentage of variance
of each factor was calculated. The factors with eigenvalues
>2 remained in the study. The final factors were
extracted by varimax rotation.
The reliability of the questionnaire was examined
using the internal consistency and test-retest stability
methods. To measure the internal consistency, 30 infertile
men and women visiting Milad Infertility Clinic
were selected by convenience sampling to complete
the questionnaire, and Cronbach’s alpha values were
calculated for each factor and the entire questionnaire.
Cronbach’s alpha values of =0.7 were deemed acceptable.
To determine the stability of the questionnaire,
20 infertile men and women completed the questionnaire
within a two-week interval and the intraclass correlation
coefficient (ICC) was then calculated. An ICC
>0.70 was deemed acceptable ( 33 ).
Scree plot.
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