Abstract
Background
Prenatal information may be obtained through invasive diagnostic procedures and non-invasive screening procedures. Several psychological factors are involved in the decision to undergo a non-invasive prenatal testing (NIPT) but little is known about the decision-making strategies involved in choosing a specific level of in-depth NIPT, considering the increased availability and complexity of NIPT options. The main aim of this work is to assess the impact of psychological factors (anxiety about pregnancy, perception of risk in pregnancy, intolerance to uncertainty), and COVID-19 pandemic on the type of NIPT chosen, in terms of the number of conditions that are tested.
Methods
A self-administered survey evaluated the decision-making process about NIPT. The final sample comprised 191 women (Mage = 35.53; SD = 4.79) who underwent a NIPT from one private Italian genetic company. Based on the test date, the sample of women was divided between “NIPT before COVID-19” and “NIPT during COVID-19”.
Results
Almost all of the participants reported being aware of the existence of different types of NIPT and more than half reported having been informed by their gynecologist. Results showed no significant association between the period in which women underwent NIPT (before COVID-19 or during COVID-19) and the preferences for more expanded screening panel. Furthermore, regarding psychological variables, results showed a significant difference between perceived risk for the fetus based on the NIPT type groups, revealing that pregnant women who underwent the more expanded panel had a significantly higher level of perceived risk for the fetus than that reported by pregnant women who underwent the basic one. There was no statistically significant difference between the other psychological variables and NIPT type.
Conclusions
Our findings indicate the paramount role of gynecologist and other health care providers, such as geneticists and psychologists, is to support decision-making process in NIPT, in order to overcome people’s deficits in genetic knowledge, promote awareness about their preferences, and control anxiety related to the unborn child. Decision-support strategies are critical during the onset of prenatal care, according to the advances in prenatal genomics and to parent’s needs.
Similar content being viewed by others
Explore related subjects
Find the latest articles, discoveries, and news in related topics.Introduction
The number of de novo and inherited disorders and risk factors that can be detected through prenatal genetic testing is increasing rapidly, and in parallel, there is a growing desire to seek information about the physical health of the fetus [1], associated with the quick spread and massive increase in screening options [2, 3].
During the last decade, several studies have been performed on women’s decisions to undergo prenatal testing. According to the literature, three dimensions seem to predict the intention to undergo a prenatal genetic test: the need for more information about the fetus’ health, the positive attitude towards genetic tests, and the personal inclination towards the possibility of terminating the pregnancy after receiving a positive test result [4].
Several procedures are available to obtain prenatal information: invasive diagnostic procedures (such as chorionic villus sampling (CVS) and amniocentesis, both associated with iatrogenic pregnancy loss and miscarriage risk that is operator dependent approximately 1:200 [5]), and non-invasive screening procedures (such as those that use cell-free fetal DNA obtained from circulating maternal blood).
A recent systematic review [6] showed that the psychological factors related to the decision to undergo a prenatal test, both invasive and non-invasive, are: a need to have as much information as possible about the fetus health and a low tolerance to uncertainty. Several studies confirmed that the desire to reduce uncertainty about the health status of the fetus is positively associated with the decision of undergoing a prenatal genetic screening [6,7,8,9,10,11].
Low tolerance to uncertainty is the tendency to react “negatively to an uncertain event or situation, independent of its probability of occurrence and of its associated consequences” [12]. It is related with an individual’s need of being certain about their own capacity to cope with unpredictable change, and with adequate functioning in ambiguous situations. Another psychological factor related to the decision to undergo prenatal genetic testing is the anxiety level, defined as the tendency to experience anxiety-related thoughts and emotions in response to events involving risk or uncertain outcomes [13, 14]. It has been shown that undergoing prenatal testing may protect women from high levels of anxiety [15], or it might encourage them to focus on what may be wrong with the child, thus increasing levels of anxiety [16], at least until a reassuring result is received [17, 18]. Notwithstanding such juxtapositions in the impact of prenatal testing and anxiety relief or exacerbation, anxiety level during pregnancy is a factor that is important to be monitored, as high levels of prenatal anxiety and stress might have negative long-term consequences for both the pregnant woman and her fetus [19,20,21].
Within this framework, some studies specifically investigated the decision to perform invasive versus NIPT. Results show that the most important factors for preferring NIPT are: its high sensitivity, the fact that it could be performed at an earlier gestational age with respect to invasive tests, the absence of physical risks for the fetus, and the easiness of the procedure [6].The safety and non-invasiveness of NIPT, which are seen as a great advantage by pregnant women [22] likely cause less anxiety than an invasive test would.
To our knowledge, no studies have so far investigated the psychological variables that could affect the decision to perform a specific type of NIPT. Indeed, the different types of NIPT on the market offer several levels of investigation: common aneuploidies, rare aneuploidies, select structural chromosome anomalies, and partial deletions and duplications across all autosomes [3].
The main aim of this work is to assess, through the administration of standardized scales, several psychological variables, including anxiety about pregnancy, perception of risk in pregnancy, and intolerance to uncertainty, which might influence the choice of the type of NIPT in terms of the number of conditions that are tested. Indeed, we hypothesize that a higher need to have as much information as possible about the fetus health, a higher anxiety level, and a higher perception of pregnancy-related risks might increase the preference for panels testing for more conditions.
A further aim of this work is to explore the impact of the current health emergency linked to COVID-19 pandemic on the levels of risk perception in pregnancy and on the type of NIPT chosen. Indeed, it is known that the COVID-19 pandemic has resulted in the consolidation of a high degree of uncertainty worldwide [23,24,25], which also impacted on health behaviors [26, 27]. Furthermore, the uncertainty about the many unanswered questions regarding the impact of COVID-19 in pregnancy might have a role in the perception of vulnerability by pregnant women, therefore influencing their decisions regarding prenatal screening. Indeed, despite the growing number of published studies on COVID-19 in pregnancy, data do not allow to draw conclusions about the severity of the disease, the specific complications of COVID-19 in pregnancy, nor the vertical transmission [28, 29]. Notwithstanding, some studies suggest an increase in fetal, perinatal and neonatal complications such as abortion, preterm delivery, stillbirth, intrauterine growth retardation and fetal structural anomalies [30,31,32,33]. Furthermore, several studies revealed that pregnant women's anxiety level increased during the pandemic [34, 35]. It is thus possible that the higher uncertainty and the higher anxiety level reflects on the genetic conditions women decide to investigate through different types of NIPT.
Material and methods
Procedure
The current study was approved by the local Ethics Committee of the University of Milan (UNIMI- approval number 116/20).
For the study, female clients aged 18 years or older who underwent NIPT between November 2019 and May 2020 through Eurofins Genoma Group, a private genetic laboratory located in Rome and Milan, and had already completed their pregnancy were contacted by email and invited to participate in the study. Based on the test date, the sample of women was divided between “NIPT before COVID-19 group” (November 2019-February 2020) and “NIPT during COVID-19 group” (March 2020-May 2020), considering the Italian pandemic situation [25].
The main types of prenatal screening and related services provided by Eurofins Genoma Group laboratory to their customers, corresponding to different levels of detail, are as follows:
-
Prenatalsafe: focuses on identifying common fetal chromosomal aneuploidies and severe genetic disorders in the fetus (trisomy 21,18,13,9,16), sex chromosomes aneuploidies and other six common microdeletion syndromes;
-
Prenatalsafe Karyo: it screens for aneuploidies and structural chromosomal aberrations (deletion or duplications) across the fetal genome, it also analyzes 9 clinically significant microdeletion regions, providing information about gains or losses of chromosome material > 7 Mb across the fetal genome. It detects structural chromosome alterations at a resolution of approximately 3 Mb at the level of the chromosomal regions associated with the microdeletion syndromes investigated;
-
Prenatalsafe Complete: it detects both genome-wide chromosomal abnormalities and single-gene disorders. It allows also detection of common inherited genetic disorders in the fetus that could be missed by traditional prenatal screening, such as Cystic Fibrosis, deafness autosomal recessive type 1A, deafness autosomal recessive type 1B, Thalassemia-Beta, Sickle cell Anemia, and de novo genetic conditions (e.g. cardiac defects, multiple congenital anomalies, and intellectual disabilities). It also analyzes 9 clinically significant microdeletion syndromes.
All female clients that were contacted had already provided, at the time of prenatal test, their consent to be re-contacted by the laboratory for research purposes. However, for this study, as per standard procedure, the research purposes and the procedure were explained through an information sheet and by a referred researcher and, if women agreed to participate in the study, they completed the informed consent form and subsequently received a link by email to fill in the online questionnaires. The questionnaires have been implemented on QualtricsTM Platform. Participants’ data were pseudo-anonymized and data collection was performed through an ID code (i.e., a combination of letters and numbers). Overall recruitment lasted from March 2021 to August 2021 (about a year later after they completed their prenatal screening). No compensation was provided to research participants for their engagement in the study.
Participants
Two hundred one respondents gave their consent to participate but only 191 completed the questionnaire. Thus, the final sample of this study comprised 191 participants that were included in the analysis. Detailed socio-demographic characteristics of the participants are described in Table 1. All the participants were females, ranging from 25 to 55 years old (Mage = 35.53; SD = 4.79), and had already completed their pregnancy at the time of the enrollment. Specifically, nearly all of the sample (98.4%) carried the pregnancy to term; only 1.6% of pregnancies resulted in spontaneous abortion (SA) or therapeutic abortion (TA). The majority of respondents underwent NIPT for the first time (80.6%; N = 154) and 44% had previous pregnancies, ranging from 2 to 5 (M = 2.35; SD = 0.68). Previous pregnancies in only 13% of the sample resulted in SA or TA. Regarding the period in which they were tested, 61.3% of the participants (N = 117) underwent NIPT from March 2020 to May 2020, when COVID-19 pandemic had already hit Italian territory, whereas 38.7% (N = 74) of the participants underwent NIPT before COVID-19 pandemic (from November 2019 to January 2020). None of the women who underwent NIPT during COVID-19 pandemic tested positive or had close family members who tested positive. Almost all participants were in a stable relationship (married or cohabiting), were well-educated, and a high percentage of the respondents resided in Central Italy (46.6%; N = 89).
Measures
The survey administered for this study was composed as follows:
-
Socio-demographic questions: self-reported age, education, area of residence and marital status (4 questions) were assessed;
-
Previous pregnancies and experiences with NIPT: Ten ad hoc items were created to assess a) primiparous or multiparous status; b) current pregnancies outcomes (“delivery” or “abortion”); c) previous pregnancies outcomes (“delivery” or “abortion”); d) previous NIPT experiences; e) type of NIPT panels performed (“Prenatalsafe”, “Prenatalsafe Karyo” or “Prenatalsafe Complete”); f) level of knowledge about NIPT panels (“Did you know the existence of different type of NIPT?”); g) source of information (“physicians”, “gynecologist”, “relatives and acquaintances” or “internet”); h) motivations for choosing that specific NIPT panel (“What led you to choose this type of NIPT specifically?”, answer options “The other panels were too expensive”, “The other panels were too detailed”, “The other panels were too poorly detailed”, “Further investigations would not have affected the choices related to pregnancy” and “I was mainly oriented by my gynecologist on the choice of this specific test”); i) motivation for deciding to undergo NIPT (an open-ended question coded into “advanced maternal age (1)”, “Additional assessment after previous instrumental investigation (2)”, “avoiding invasive diagnostic procedure (3)”, “need for information and increased awareness (4)”, “calming anxiety and reducing uncertainty (5), “family history or previous identified malformations/abortions (6)”); j) the level of involvement of the referred gynecologist (5 points Likert scale, from 1 “not at all involved” to 5 “totally involved”);
-
Social norms questions: 4 questions investigated if the choice to undergo a NIPT was also related to the familiarity with this behavior, the influence of family members or significant others, and how much “socially” acceptable and appropriate the choice was perceived (1 multiple choice question, 1 Visual Analogue Scale (VAS), 2 items on a 5 point Likert scale from “completely disagree” to “completely agree”);
-
Baby subscale of the Anxiety Scale for Pregnancy (ASP, [36]). The ASP is a measure of anxiety that covers multidimensional components of pregnancy and it is composed of 14 items 7 positively worded and 7 negatively worded, with items responses ranging from 1 “not at all” to 4 “very much”. The instrument has five subscales, covering the following dimensions of pregnancy: the baby (items 1, 6, 12), labor (items 2, 5, 14), marital (items 8, 10, 11), attractive (items 3, 13), and support (items 4, 7, 9). For this study, we only used the 3 items of the “baby” subscale, with the anxiety related to the unborn child. The subscale revealed a Cronbach’s alpha coefficient equal to 0.645 (rs > 0.361).
-
Perception of Pregnancy Risk Questionnaire (PPRQ, [37]). The PPRQ is a self-report questionnaire consisting of 9 Visual Analogue Scales from 0 (no risk) to 100 (extremely high risk) to measure a pregnant woman's perception of her pregnancy risk, both for the child and herself. The PPRQ includes 2 dimensions: perceived risk to herself, 4 items, and perceived risk for the baby, 5 items. A total score had been calculated as a mean of the scores assigned to each item, with higher scores indicating higher perception of pregnancy risk. The total scale has been shown to be internally consistent (α = 0.862; rs > 0.434; PPRQ Baby: α = 0.874; rs > 0.591; PPRQ Mother: α = 0.642; rs > 0.364).
-
Intolerance of Uncertainty Scale-12 (IUS-12, [38, 39]). The IUS-12 is a short version of the original 27-item Intolerance of Uncertainty Scale [40, 41], and measures the intolerance to uncertainty through 12 items evaluated on a 5 point Likert scale from “completely disagree” to “completely agree”. Intolerance of uncertainty consists of a prospective factor (desire for predictability) and an inhibitory factor (uncertainty paralysis). The first dimension represents an active strategy for managing uncertainty and refers to the tendency to seek as much information as possible on situations perceived as threatening, in order to re-establish a condition of certainty. The second dimension, on the other hand, represents an avoidance strategy towards situations perceived as ambiguous, and it is converted into inability to act due to the uncertainty feelings. In this study, the total scale has been shown to be internally consistent (α = 0.888, rs > 0.319; IUS Prospective: α = 0.816; rs > 0.365; IUS Inhibitory: α = 0.901; rs > 0.687).
The group of women who underwent NIPT during COVID-19 pandemic (March 2020-May 2020) answered an additional set of 5 questions aiming at investigating their experience of worry related to the COVID-19 spread during their pregnancy. 2 items asked participants to evaluate from 0 to 10 (VAS) how much COVID-19 influenced their choice to undergo NIPT and how much COVID-19 might be a danger for pregnancy course. Furthermore, 3 items investigated about positivity to COVID-19 test of the participants, their partners or close family members, in the period preceding the NIPT. The response options for the 3 items will be binary coded (no—yes, specify).
Data analysis
Data were analyzed using the statistical analysis software SPSS (Version 26.0, IBM, Armonk, NY, USA). Normality of the data was checked. Preliminary analyses including descriptive have been performed in order to characterize the participants. Chi-square tests for non-parametric factors, T-test analysis for independent groups and one-way analysis of variance (ANOVA) with Bonferroni correction have been performed to verify possible differences between groups in choices related to NIPT, motivations to undergo NIPT and in psychological variables such as anxiety, risk perception in pregnancy and intolerance to uncertainty.
Results
Impact of COVID-19 pandemic on NIPT decision-making process
A chi-square test was performed to examine the relation between COVID-19 and the type of NIPT chosen. Results showed that there was no significant association between the period in which women underwent NIPT (before vs during COVID-19) and the preferences for more expanded screening panel, even if participants who underwent Prenatalsafe Karyo were mainly pre-COVID-19 [χ2 (3, N = 177) = 8.722; p = 0.033)]. Nevertheless, COVID-19 pandemic did not impact on the decision to have more information about the genetic condition of the fetus. When questioned about the impact of COVID-19 on the decision to undergo NIPT, participants on average indicated no impact or very low impact (0.5 out of 10; SD = 1.08), despite rating the risks of COVID-19 associated with their pregnancy as moderately high (4.56 out of 10; SD = 3.41).
Motivational factors associated with NIPT type chosen
A chi-square test was performed to test how the type of motivation leading to the choice of a specific type of NIPT was distributed in our sample. Contingency tables showed that the relation between motivation and type of NIPT was significant, [χ2 (10, N = 191) = 37.542; p < 0.001)], i.e., motivations differ significantly depending on the type of test chosen. Specifically, the analysis of standardized residual indicated that women who choose the more expanded screening panel (Prenatalsafe Complete) reported more frequently that they made this choice because other panels were too poorly detailed (Prenatalsafe Complete: 60% [n = 9] vs Prenatalsafe: 5.4% [n = 4] and Prenatalsafe Karyo: 11.8% [n = 10]; adjusted standardized residual = 5.6), and less frequently that they were guided in this choice by their gynecologist (Prenatalsafe Complete: 26.7% [n = 4] vs Prenatalsafe: 54.1% [n = 40] and Prenatalsafe Karyo: 52.9% [n = 45]; adjusted standardized residual =—2.0).
Another Chi-Square Test of Independence was performed to assess the relationship between the motivation to undergo NIPT in general and the choice of a specific type of NIPT. Results showed that there was not a significant relationship between the two variables, [χ2 (10, N = 191) = 8.831; p = 0.54)], i.e., the motivation with which pregnant women undergo prenatal testing did not differ depending on the type of NIPT chosen.
Furthermore, almost all of the participants (94.8%; N = 181) reported being aware of the existence of different types of NIPT that can provide information about a range of different genetic conditions, and more than half (72.3%, N = 138) reported having been informed by their gynecologist. Only a minority reported having sought information on their own through websites (16.2%; N = 31) or through friends and acquaintances (6.3%; N = 12). With respect to the degree of involvement of their gynecologist, more than half reported that their gynecologist suggestion was decisive in deciding which type of NIPT to choose. With respect to the role of their gynecologist in the decision-making process, more than half (53.4%; N = 102) reported that their gynecologist was very or totally involved in the choice of NIPT type (neither too much nor too little: 18.8%, N = 36; little/not at all: 27.8%, N = 53). However, although the contingency tables showed that the relation between the degree of involvement of the gynecologist and type of NIPT was not significant, [χ2 (4, N = 174) = 6.898; p = 0.141)], the analysis of standardized residual indicated that those who choose the Prenatalsafe Complete reported more frequently that they chose it without any involvement of their gynecologist in their decision (Prenatalsafe Complete: 53.3% [n = 8] vs Prenatalsafe: 28.4% [n = 21] and Prenatalsafe Karyo: 24.7% [n = 21]; adjusted standardized residual = 2.2).
Psychological variables associated with NIPT type chosen
Psychological variables of the sample were summarized in Table 2. Results showed a significant difference between perceived risk to the fetus (PPRQ Baby) based on the NIPT type groups, as demonstrated by the one-way ANOVA (F(2,167) = 4.22, p = 0.016).
Bonferroni corrected pairwise comparisons revealed that the pregnant women who underwent the expanded panel (Prenatalsafe Complete) had a significantly higher level of perceived risk to the fetus (M = 57.88; SD = 29.62) than that reported by the pregnant women who underwent the Prenatalsafe panel screening, the basic one (M = 37.77; SD = 26.17). There was no statistically significant difference between the other psychological variables and NIPT type (IUS Total: F(2,164) = 0.57, p = 0.944; IUS Prospective: F(2,164) = 0.27, p = 0.763; IUS Inhibitory: F(2,164) = 0.35, p = 0.965; PPRQ Total: F(2,167) = 3.58, p = 0.03; PPRQ Mother: F(2,164) = 0.84, p = 0.433; ASP Baby: F(2,164) = 2.83, p = 0.061).
Results showed a significant effect of NIPT type groups on levels of perceived social norms, F(2,171) = 6.51, p = 0.002. Pairwise comparisons were conducted on all the pairs of groups using the Bonferroni correction. Post hoc tests revealed that participants in the Prenatalsafe Karyo group had significant less adherence to social norms (M = 2.91, SD = 1.08) than those in the Prenatalsafe group (M = 3.53, SD = 1.11), whereas participants in the Prenatalsafe Complete group (M = 2.93, SD = 1.98) did not significantly differ from the other two groups.
Furthermore, Chi-Square Test of Independence showed that there was not a significant relationship between past pregnancy outcomes, and the choice of a specific type of NIPT [χ2 (2, N = 77) = 2.16; p = 0.34)], as well as between being primiparous or multiparous and the choice of a specific type of NIPT [χ2 (2, N = 174) = 1.61; p = 0.44)]. As demonstrated by the one-way ANOVA, no association between age and the choice of a specific type of NIPT was found (F(2,171) = 0.668, p = 0.514).
Discussion
Until more recent times, the risks associated with the execution of invasive prenatal tests (amniocentesis or CVS) oriented health professionals to direct the prenatal diagnosis only to the female population selected as "at risk". Now NIPT exams are aimed at the whole population, since they are characterized by simplicity of execution and risk-free. Nevertheless, with increased complexity and availability of NIPT options [42], decision-support strategies are critical to promote informed decision making in women and elicit their preferences regarding the use of these screens. General population commonly struggle with understanding key informational genetic aspects and often lack the health literacy and numeracy skills to interpret and personalize the risk information [43,44,45,46,47,48,49], such as the basic distinction between aneuploidy screening (AS), that focuses on identifying chromosomal aneuploidy (e.g., trisomy 21) and other genetic abnormalities such as de novo mutations, microdeletions, or single gene disorders (SGD) that focuses on identifying heritable genetic mutations.
As we have seen from the literature, the choice to undergo a NIPT, like other prenatal tests, is mainly guided by the perception to maintain a greater control over pregnancy, reduce uncertainty and to make decisions about the future of pregnancy itself [6,7,8,9,10,11]. A recent study specifically investigated both patients' knowledge of prenatal genetic screening and their decision-making preferences for screening when offered an expanded screening panel [50]. In Farrell et al. [50] when expanded panels increased to contain 50 conditions, fewer participants preferred to learn about all of the conditions on the panel, while the most of participants expressed their preference to learn about conditions post-test, based on the results received. Instead, participants who at the beginning preferred to limit pre-test education to conditions at which they were at risk for did not change significantly their preference when offered panels increased e.g. from 5 to 100 conditions [50].
In our study we investigated more in-depth whether psychological factors, in particular the anxiety levels towards the fetus, perception of pregnancy risk related to the mother or the fetus, adherence to social norms and intolerance to uncertainty, affect the choice to undergo an expanded screening panel. The study was also conducted during a stressful event that affected the whole world, the COVID-19 pandemic. Almost the entire sample of participants in our study reported being aware of the existence of different types of NIPT that can provide information about a range of different genetic conditions, and the most had been informed by their gynecologist. However, the awareness of the existence of different screening panels cannot be confused or interpreted as a greater knowledge of the genetic conditions being examined and their implications. As demonstrated in the study by Farrell et al. [50], women are more familiar with the concepts associated with AS (e.g. risk of trisomy 21, 18, or 13) compared to CS (e.g. cystic fibrosis, sickle cell anemia or thalassemia). This lack of knowledge concerns several aspects, among which the interpretation of screening results and the implications of such risk assessments on their pregnancy and future reproductive decision-making [51,52,53].
The percentage of women who underwent an expanded screening panel in our study (Prenatalsafe Complete) was overall low (8.6%). Their main reported motivations for choosing Prenatalsafe Complete were that other screening panels were less detailed compared to the information they wanted to gather about risks for their child, as well as the lack of engagement of their gynecologist in the decision-making process. They also had a significantly higher perception of risk for the baby than those who choose Prenatalsafe or Prenatalsafe Karyo. Although there were few subjects to infer something, results showed that their choice was not guided by previous abortion experiences, by primiparity, or by advanced maternal age. In Farrell et al. [50] it was instead observed a difference between primiparous and multiparous, with the first having greater preferences to learn about more genetic conditions, in particular those that would lead to the death of a child soon after birth or severely affect the quality of life (QoL) of a child.
Our results suggest that the expanded genetic panel Prenatalsafe Complete is chosen without the specific guidance of medical indications and on the basis of emotional factors such as anxiety related to the unborn child. However, the presence and experience of the COVID-19 pandemic did not play any significant role in the emotional reactions and in the perception of higher genetic risk for the child, except for the concern related to pregnancy pathway and the opportunity to be adequately followed with regular medical visits.
Following good practice guidelines, women might consider to be tested with NIPT for conditions at which they were at risk for, based on what they would be willing to do with the test result, and well discussed with referred clinicians (gynecologist, genetic counselor, family physicians) [54]. In our study, indeed, the women who decided to undergo Prenatalsafe Karyo genetic screening were mainly guided by the indications of their gynecologist, compared to those who instead chose more expanded screening panels. Furthermore, they were women who, although not clearly adhering to social norms, appear to have a significantly greater tendency to follow social norms than those who undergo the Prenatalsafe Complete panel. This could suggest an effect of social norms and values in limiting the freedom of women to decide for an expanded genetic panel, and therefore the freedom to receive more information in order to decide for a possible therapeutic abortion.
Concerning the first result, in other studies conducted on the Italian population the dominant role of the specialized physician emerged [55,56,57], also referred to the choice of undergoing genetic testing for personal disease risk calculation, and it was prevalent compared to other cultural contexts [58, 59].
As for adherence to social norms, the debate is much more complex. As reported by Stapleton [60] and van Schendel et al. [61] a prenatal test like NIPT cannot predict the disease severity or the QoL of the child, that is also a relatively subjective concept and differs per person, for this reason every “Women should be able to make their own decision about what to test for and what not to test for” [61]. Farrimond and Kelly [62] noted that for a minority of their participants “it should be the parents’ decision what tests to have and what they want to do with the results (P22, female, currently pregnant)” [62]. In this framework social norms and values should not conflict with the full range of screening options that could be offered.
Furthermore, based on a societal point of view, NIPT and decisions about selective abortion are a public health issue [63]. Some researchers argued that a woman who makes use of NIPT is seen as a responsible pregnant woman [64] who is acting in the best interests of the fetus, her family, and her community [65]. Conversely, a pregnant woman who either does not comply with a referral for testing or decides to continue to carry a fetus in which a disability has been detected is viewed by others as irresponsible, irrational, and selfish [66]. These debates illustrate the importance of closely monitoring the prevailing social norms governing NIPT use, in terms of both societal opinion and the actual allocation of social resources as the technology advances. True reproductive autonomy necessarily involves striving for a social context in which parents who choose not to undergo testing, or who choose to raise a child with a disability, or on the contrary decide to undergo a therapeutic abortion, would be supported.
Our findings indicate the paramount role of gynecologist and other health care providers, such as geneticists and psychologists, to support decision making process in NIPT, in order to overcome people’s deficits in genetic knowledge, promote awareness about their preferences, control anxiety related to the unborn child. Further studies about parent’s preferences and psychological profiles, along with innovative approaches, are needed to best support parent’s informed decision-making about an expanding array of NIPT options at the onset of prenatal care.
The present study has some limitations and should be interpreted with caution. Data were collected using a self-administered survey among eligible women who gave their free consent to participate and this might have created a selection bias among the types of participants who completed the survey and the type of NIPT panel they underwent. Secondly, the small sample size did not allow any causal inference but only observational exploration. Furthermore, although Eurofins Genoma Group laboratory makes counselling available both pre-test and for high risk results, data on genetic counselling sections and its impact on the decision-making process were not recollected.
Conclusion
We highlighted the importance of psychological aspects, such as high levels of anxiety related to the unborn child or the adherence to social norms, in determining a certain autonomy of choice for women/parents in the domain of and expanded array of prenatal genetic screening. Along with the importance of providing genetic education to parents about the different genetic condition (e.g. AS and SGD), such results and future researches have to foster healthcare providers and systems to revise how to structure the medical decision-making processes during the onset of prenatal care, according to the advances in prenatal genomics and to parent’s needs.
Availability of data and materials
The datasets generated and/or analysed during the current study are not publicly available due to privacy concerns related to the presence of sensitive data but are available from the corresponding author on reasonable request.
Abbreviations
- AS:
-
Aneuploidy Screening
- ASP:
-
Anxiety Scale for Pregnancy
- CS:
-
Carrier Screening
- CVS:
-
Chorionic Villus Sampling
- IUS:
-
Intolerance of Uncertainty Scale
- NIPT:
-
Non-Invasive Prenatal Testing
- PPRQ:
-
Perception of Pregnancy Risk Questionnaire
- QoL:
-
Quality of Life
- SA:
-
Spontaneous Abortion
- SGD:
-
Single Gene Disorders
- TA:
-
Therapeutic Abortion
- VAS:
-
Visual analogue Scale
References
Bedei I, Wolter A, Weber A, Signore F, Axt-Fliedner R. Chances and Challenges of New Genetic Screening Technologies (NIPT) in Prenatal Medicine from a Clinical Perspective: A Narrative Review. Genes (Basel). 2021;12(4):501. https://doi.org/10.3390/genes12040501.
Cernat A, De Freitas C, Majid U, Trivedi F, Higgins C, Vanstone M. Facilitating informed choice about non-invasive prenatal testing (NIPT): A systematic review and qualitative meta-synthesis of women’s experiences. BMC Pregnancy Childbirth. 2019;19:1–15.
Alberry MS, Aziz E, Ahmed SR, Abdel-fattah S. Non invasive prenatal testing (NIPT) for common aneuploidies and beyond. Eur J Obstet Gynecol Reprod Biol. 2021;258:424–9.
Pivetti M, Melotti G. Prenatal Genetic Testing: An Investigation of Determining Factors Affecting the Decision-Making Process. J Genet Couns. 2013;22:76–89.
Akolekar R, Beta J, Picciarelli G, Ogilvie C, D’Antonio F. Procedure-related risk of miscarriage following amniocentesis and chorionic villus sampling: a systematic review and meta-analysis. Ultrasound Obstet Gynecol. 2015;45:16–26.
Di Mattei V, Ferrari F, Perego G, Tobia V, Mauro F, Candiani M. Decision-making factors in prenatal testing: A systematic review. Heal Psychol Open. 2021;8(1):2055102920987455. https://doi.org/10.1177/2055102920987455.
Grinshpun-Cohen J, Miron-Shatz T, Berkenstet M, Pras E. The limited effect of information on Israeli pregnant women at advanced maternal age who decide to undergo amniocentesis. Isr J Health Policy Res. 2015;4:1–8.
Verweij EJ, Oepkes D, de Vries M, van den Akker ME, van den Akker ES, de Boer MA. Non-invasive prenatal screening for trisomy 21: what women want and are willing to pay. Patient Educ Couns. 2013;93:641–5.
Skutilova V. Knowledge, attitudes and decision-making in Czech women with atypical results of prenatal screening tests for the most common chromosomal and morphological congenital defects in the fetus: selected questionnaire results. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub. 2015;159:156–62.
Sahlin E, Nordenskjöld M, Gustavsson P, Wincent J, Georgsson S, Iwarsson E. Positive Attitudes towards Non-Invasive Prenatal Testing (NIPT) in a Swedish Cohort of 1,003 Pregnant Women. PLoS ONE. 2016;11: e0156088.
Miltoft CB, Rode L, Tabor A. Positive view and increased likely uptake of follow-up testing with analysis of cell-free fetal DNA as alternative to invasive testing among Danish pregnant women. Acta Obstet Gynecol Scand. 2018;97:577–86.
Ladouceur R, Gosselin P, Dugas MJ. Experimental manipulation of intolerance of uncertainty: A study of a theoretical model of worry. Behav Res Ther. 2000;38:933–41.
Eysenck MW, Derakshan N, Santos R, Calvo MG. Anxiety and cognitive performance: Attentional control theory. Emotion. 2007;7:336–53.
Pacheco-Unguetti AP, Acosta A, Callejas A, Lupiáñez J. Attention and anxiety: Different attentional functioning under state and trait anxiety. Psychol Sci. 2010;21:298–304.
Kowalcek I, Huber G, Lammers C, Brunk J, Bieniakiewicz I, Gembruch U. Anxiety scores before and after prenatal testing for congenital anomalies. Arch Gynecol Obstet. 2003;267:126–9.
Kleinveld JH, Timmermans DRM, De Smit DJ, Adér HJ, Van Der Wal G, Ten Kate LP. Does prenatal screening influence anxiety levels of pregnant women? A longitudinal randomised controlled trial. Prenat Diagn. 2006;26:354–61.
Lou S, Mikkelsen L, Hvidman L, Petersen OB, Nielsen CP. Does screening for Down’s syndrome cause anxiety in pregnant women? A systematic review. Acta Obstet Gynecol Scand. 2015;94:15–27.
Tercyak KP, Johnson SB, Roberts SF, Cruz AC. Psychological response to prenatal genetic counseling and amniocentesis. Patient Educ Couns. 2001;43:73–84.
Ruiz RJ, Avant KC. Effects of maternal prenatal stress on infant outcomes: a synthesis of the literature. ANS Adv Nurs Sci. 2005;28:345–55.
Allison SJ, Stafford J, Anumba DOC. The effect of stress and anxiety associated with maternal prenatal diagnosis on feto-maternal attachment. BMC Womens Health. 2011;11:1–8.
van Schendel RV, Page-Christiaens GCML, Beulen L, Bilardo CM, de Boer MA, Coumans ABC, et al. Women’s Experience with Non-Invasive Prenatal Testing and Emotional Well-being and Satisfaction after Test-Results. J Genet Couns. 2017;26:1348–56.
Lewis C, Silcock C, Chitty LS. Non-Invasive Prenatal Testing for Down’s Syndrome: Pregnant Women’s Views and Likely Uptake. Public Health Genomics. 2013;16:223–32.
Rettie H, Daniels J. Coping and tolerance of uncertainty: Predictors and mediators of mental health during the COVID-19 pandemic. Am Psychol. 2021;76:427–37.
Petrocchi S, Iannello P, Ongaro G, Antonietti A, Pravettoni G. The interplay between risk and protective factors during the initial height of the COVID-19 crisis in Italy: The role of risk aversion and intolerance of ambiguity on distress. Curr Psychol. 2022;41(1):437–48. https://doi.org/10.1007/s12144-021-01601-1.
Ongaro G, Cincidda C, Sebri V, Savioni L, Triberti S, Ferrucci R, et al. A 6-month follow-up study on worry and its impact on well-being during the first wave of covid-19 pandemic in an italian sample. Front Psychol. 2021;12:703214. https://doi.org/10.3389/fpsyg.2021.703214.
Pagnini F, Bonanomi A, Tagliabue S, Balconi M, Bertolotti M, Confalonieri E, et al. Knowledge, Concerns, and Behaviors of Individuals During the First Week of the Coronavirus Disease 2019 Pandemic in Italy. JAMA Netw open. 2020;3(7):e2015821. https://doi.org/10.1001/jamanetworkopen.2020.15821.
Commodari E, La Rosa VL, Coniglio MA. Health risk perceptions in the era of the new coronavirus: are the Italian people ready for a novel virus? A cross-sectional study on perceived personal and comparative susceptibility for infectious diseases. Public Health. 2020. https://doi.org/10.1016/j.puhe.2020.07.036.
Huntley BJF, Huntley ES, Di Mascio D, Chen T, Berghella V, Chauhan SP. Rates of maternal and perinatal mortality and vertical transmission in pregnancies complicated by severe acute respiratory syndrome coronavirus 2 (SARS-Co-V-2) infection: A systematic review. Obstet Gynecol. 2020;136(2):303–12. https://doi.org/10.1097/AOG.0000000000004010.
Juan J, Gil MM, Rong Z, Zhang Y, Yang H, Poon LC. Effect of coronavirus disease 2019 (COVID-19) on maternal, perinatal and neonatal outcome: systematic review. Ultrasound Obstet Gynecol. 2020;56(1):15–27. https://doi.org/10.1002/uog.22088.
Allotey J, Stallings E, Bonet M, Yap M, Chatterjee S, Kew T, Clinical manifestations, risk factors, and maternal and perinatal outcomes of coronavirus disease, et al. in pregnancy: living systematic review and meta-analysis. BMJ. 2019;2020:370.
Rasmussen SA, Smulian JC, Lednicky JA, Wen TS, Jamieson DJ. Coronavirus Disease 2019 (COVID-19) and pregnancy: what obstetricians need to know. Am J Obstet Gynecol. 2020;222:415–26.
Dashraath P, Wong JLJ, Lim MXK, Lim LM, Li S, Biswas A, et al. Coronavirus disease 2019 (COVID-19) pandemic and pregnancy. Am J Obstet Gynecol. 2020;222:521–31.
Khan MSI, Nabeka H, Akbar SMF, Mahtab M Al, Shimokawa T, Islam F, et al. Risk of congenital birth defects during COVID-19 pandemic: Draw attention to the physicians and policymakers. J Glob Health. 2020;10(2):020378. https://doi.org/10.7189/jogh.10.020378.
Durankuş F, Aksu E. Effects of the COVID-19 pandemic on anxiety and depressive symptoms in pregnant women: a preliminary study. J Matern Fetal Neonatal Med. 2022;35:1–7.
Mirzadeh M, Khedmat L. Pregnant women in the exposure to COVID-19 infection outbreak: the unseen risk factors and preventive healthcare patterns. J Matern Fetal Neonatal Med. 2022;35:1377–8.
Doyle-Waters MMR. Anxiety Scale For Pregnancy: development and validation. Vancouver: Unpublished master thesis, The University of British Columbia; 1994.
Heaman MI, Gupton AL. Psychometric testing of the perception of pregnancy risk questionnaire. Res Nurs Heal. 2009. https://doi.org/10.1002/nur.20342.
Bottesi G, Ghisi M, Novara C, Bertocchi J, e Ilaria MB, Dominicis D, et al. Intolerance of uncertainty scale (IUS-27 e IUS-12): Due studi preliminari. Psicoter Cogn e Comport. 2015;21:345–65.
Carleton RN, Norton MAPJ, Asmundson GJG. Fearing the unknown: A short version of the Intolerance of Uncertainty Scale. J Anxiety Disord. 2007. https://doi.org/10.1016/j.janxdis.2006.03.014.
Buhr K, Dugas MJ. The Intolerance of Uncertainty Scale: psychometric properties of the English version. Behav Res Ther. 2002;40:931–45.
Freeston MH, Rhéaume J, Letarte H, Dugas MJ, Ladouceur R. Why do people worry? Pers Individ Dif. 1994. https://doi.org/10.1016/0191-8869(94)90048-5.
Kilpatrick SJ, Papile L-A, Macones GA. Antepartum Care. In: Guidelines for Perinatal Care. American Academy of Pediatrics and American College of Obstetricians and Gynecologists. 8th edn. Elk Grive Village. 2017. p. 150–226.
Sheinis M, Bensimon K, Selk A. Patients’ Knowledge of Prenatal Screening for Trisomy 21. J Genet Couns. 2018;27:95–103.
Seven M, Akyüz A, Eroglu K, Daack-Hirsch S, Skirton H. Women’s knowledge and use of prenatal screening tests. J Clin Nurs. 2017;26:1869–77.
Smith SK, Cai A, Wong M, Sousa MS, Peate M, Welsh A, et al. Improving women’s knowledge about prenatal screening in the era of non-invasive prenatal testing for Down syndrome - Development and acceptability of a low literacy decision aid. BMC Pregnancy Childbirth. 2018;18:1–14.
Oliveri S, Mainetti R, Gorini A, Cutica I, Candiani G, Borghese NA, et al. Serious Games for Improving Genetic Literacy and Genetic Risk Awareness in the General Public: Protocol for a Randomized Controlled Trial. JMIR Res Protoc. 2018;7(12):e189. https://doi.org/10.2196/resprot.9288.
Mainetti R, Oliveri S, Gorini A, Cutica I, Pravettoni G, Borghese NA. Usability Testing of Two Mini-Games and One Serious Game to Educate People About Genetics. Stud Health Technol Inform. 2019;261:82–87.
Ongaro G, Petrocchi S, Calvello M, Bonanni B, Feroce I, Pravettoni G. Psychological Determinants of Men’s Adherence to Cascade Screening for BRCA1/2. Curr Oncol 2022, Vol 29, Pages 2490–2503. 2022;29:2490–503.
Oliveri S, Renzi C, Pravettoni G. Toward an in-depth profiling of DTC users. Clin Genet. 2015;88:505–6.
Farrell RM, Pierce M, Collart C, Yao M, Coleridge M, Chien EK, et al. Decision-making for prenatal genetic screening: how will pregnant women navigate a growing number of aneuploidy and carrier screening options? BMC Pregnancy Childbirth. 2021;21(1):806. https://doi.org/10.1186/s12884-021-04282-7.
Kuppermann M, Norton ME, Thao K, O’Leary A, Nseyo O, Cortez A, et al. Preferences regarding contemporary prenatal genetic tests among women desiring testing: Implications for optimal testing strategies. Prenat Diagn. 2016;36:469–75.
Kuppermann M, Pena S, Bishop JT, Nakagawa S, Gregorich SE, Sit A, et al. Effect of enhanced information, values clarification, and removal of financial barriers on use of prenatal genetic testing: A randomized clinical trial. JAMA - J Am Med Assoc. 2014;312:1210–7.
Portocarrero MEL, Giguère AMC, Lépine J, Garvelink MM, Robitaille H, Delanoë A, et al. Use of a patient decision aid for prenatal screening for Down syndrome: What do pregnant women say? BMC Pregnancy Childbirth. 2017;17:1–9.
ESHRE PGT Consortium Steering Committee, Carvalho F, Coonen E, Goossens V, Kokkali G, Rubio C, et al. ESHRE PGT Consortium good practice recommendations for the organisation of PGT. Hum Reprod open. 2020;2020:hoaa021.
Oliveri S, Pravettoni G, Fioretti C, Hansson MG. Let the Individuals Directly Concerned Decide: A Solution to Tragic Choices in Genetic Risk Information. Public Health Genomics. 2016;19:307–13.
Oliveri S, Cincidda C, Ongaro G, Cutica I, Gorini A, Spinella F, et al. What people really change after genetic testing (GT) performed in private labs: results from an Italian study. Eur J Hum Genet. 2021;2021:1–11.
Oliveri S, Howard HC, Renzi C, Hansson MG, Pravettoni G. Anxiety delivered direct-to-consumer: Are we asking the right questions about the impacts of DTC genetic testing? J Med Genet. 2016;53:798–9.
Wöhlke S, Schaper M, Oliveri S, Cutica I, Spinella F, Pravettoni G, et al. German and Italian Users of Web-Accessed Genetic Data: Attitudes on Personal Utility and Personal Sharing Preferences. Results of a Comparative Survey (n=192). Front Genet. 2020;11:102. https://doi.org/10.3389/fgene.2020.00102.
Ongaro G, Brivio E, Cincidda C, Oliveri S, Spinella F, Steinberger D, et al. Genetic testing users in Italy and Germany: Health orientation, health-related habits, and psychological profile. Mol Genet Genomic Med. 2022;10(3):e1851. https://doi.org/10.1002/mgg3.1851.
Stapleton G. Qualifying choice: ethical reflection on the scope of prenatal screening. Med Health Care Philos. 2017;20:195–205.
van Schendel RV, Kleinveld JH, Dondorp WJ, Pajkrt E, Timmermans DRM, Holtkamp KCA, et al. Attitudes of pregnant women and male partners towards non-invasive prenatal testing and widening the scope of prenatal screening. Eur J Hum Genet. 2014;22:1345–50.
Farrimond HR, Kelly SE. Public viewpoints on new non-invasive prenatal genetic tests. Public Underst Sci. 2013;22:730–44.
Lawson KL, Pierson RA. Maternal Decisions Regarding Prenatal Diagnosis: Rational Choices or Sensible Decisions? J Obstet Gynaecol Canada. 2007;29:240–6.
Ionio C, Smorti M, Mascheroni E, Ongaro G, Cattaneo E, Gemignani A, et al. What is the role played by pregnancy in the construction of a woman’s identity and her association with her child-to-be? J Reprod Infant Psychol. 2019. https://doi.org/10.1080/02646838.2019.1695042.
Gates E. Prenatal genetic testing: does it benefit pregnant women? In: Women and prenatal testing : facing the challenges of genetic technology. Columbus: Ohio State University Press; 1994. p. 183–200.
Knoppers BM, Le Bris S. Reproductive genetics: Canadian and european perspectives. Fetal Diagn Ther. 1993;8:189–201.
Acknowledgements
Giulia Ongaro is a Ph.D. student within the European School of Molecular Medicine (SEMM).
Funding
This work was partially supported by the Italian Ministry of Health with Ricerca Corrente and 5 × 1000 funds.
Author information
Authors and Affiliations
Contributions
GO: conception of the study design; recruitment and data collection; data coding; statistical analysis plan and data analyses; manuscript draft, revisions, and approval. SO: conception of the study design; data coding; statistical analysis plan and data analyses; manuscript draft, revisions and approval. IC: conceptualization of the research; recruitment; manuscript revisions and approval. GM, DB and FS: recruitment and data collection; manuscript revisions and approval. GP: Supervision and approval.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Ethical Committee of the University of Milan (protocol approval number 116/20). Informed consent was obtained from all subjects involved in the study.
Consent for publication
Not applicable.
Competing interests
GM, DB and FS were employed by the company Eurofins Genoma Group. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
About this article
Cite this article
Oliveri, S., Ongaro, G., Cutica, I. et al. Decision-making process about prenatal genetic screening: how deeply do moms-to-be want to know from Non-Invasive Prenatal Testing?. BMC Pregnancy Childbirth 23, 38 (2023). https://doi.org/10.1186/s12884-022-05272-z
Received:
Accepted:
Published:
DOI: https://doi.org/10.1186/s12884-022-05272-z