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ORIGINAL RESEARCH article

Front. Psychiatry, 15 September 2023
Sec. Addictive Disorders
This article is part of the Research Topic Maternal Substance and Alcohol use and Contextual Issues View all 11 articles

Reducing the risk of prenatal alcohol exposure and FASD through social services: promising results from the FAR SEAS pilot project

\r\nKatarzyna Okulicz-Kozaryn*Katarzyna Okulicz-Kozaryn1*Lidia Segura-GarcíaLidia Segura-García2Carla BrugueraCarla Bruguera2Fleur BraddickFleur Braddick3Marta Zin-S&#x;dekMarta Zin-Sędek4Claudia GandinClaudia Gandin5Luiza S&#x;odownik-Przyby&#x;ekLuiza Słodownik-Przybyłek4Emanuele ScafatoEmanuele Scafato5Silvia GhiriniSilvia Ghirini5Joan ColomJoan Colom2Silvia MatraiSilvia Matrai3
  • 1Department of Children and Adolescents Health, Institute of Mother and Child (IMiD), Warsaw, Poland
  • 2Subdirectorate General of Addictions, HIV, STI and Viral Hepatitis, Public Health Agency of Catalonia (GENCAT), Barcelona, Spain
  • 3CLÍNIC Foundation for Biomedical Research (FCRB), Barcelona, Spain
  • 4National Centre for Prevention of Addictions (KCPU), Warsaw, Poland
  • 5Istituto Superiore di Sanità (ISS), Rome, Italy

Introduction: Within FAR SEAS, a multi-component evidence-based community intervention was implemented and evaluated in Mazovia (Poland), with the aim of preventing alcohol-exposed pregnancies, and therefore preventing FASD.

Methods: Multi-disciplinary professionals from different services (social, addiction, and psychology), recruited women of child-bearing age (pregnant and not pregnant) in local communities, screened them for alcohol risk, and allocated participants (n = 441) to groups for low- (70%), moderate- (23%), or high-risk (7%) of alcohol exposed pregnancy, to provide interventions tailored to their needs. The non-parametric sign test, testing differences between pairs of observations before and after intervention was used to evaluate the outcomes.

Results: Follow-up data (collected from 93% of participants) indicated positive changes in the key outcome variables: risky alcohol consumption dropped by 81%, contraception use increased by 15% and visiting a gynecologist increased by 39%; as well as in associated psychosocial risk factors (decrease in cigarette and drug use, domestic violence and depressive symptoms). No changes were noted in frequency of other service use (medical, psychological, or social). The most prominent changes were observed in the moderate-risk group.

Discussion: Changing risky behaviors (alcohol consumption and sex without contraception) to prevent alcohol exposed pregnancies is feasible at the local level, even without engagement of medical professionals. Key challenges, related to engaging professionals and local authorities, must be addressed; and procedures should be adapted to local contexts and needs.

1. Introduction

Alcohol consumption during pregnancy may result in a series of adverse effects to the fetus including congenital anomalies and behavioral, cognitive and adaptive deficits, collectively known as Fetal Alcohol Spectrum Disorder (FASD). FASD is preventable by abstaining from drinking alcohol during pregnancy but effective prevention is complex and requires activities at various levels, targeting general population, women of childbearing age, women with alcohol problems and postpartum (1). For this reason, the EU strategy to support Member States in reducing alcohol related harm (2) re-quested governments to raise awareness of the risks of drinking during pregnancy, and stressed the need for evidence-based policies and practices to reduce alcohol related harms. In line with this statement, the European Commission awarded a service contract under the 2018 EU health program to deliver a project called FAR SEAS, with the aim of promoting European knowledge exchange, and piloting regional strategies to reduce FASD. The main objectives of FAR SEAS were to promote regionally implemented strategies to reduce and prevent fetal alcohol syndrome (FAS) and fetal alcohol spectrum disorder (FASD); and to facilitate knowledge-exchange and capacity-building among EU Member States. One of the key elements of the project was to test the implementation of a multi-component, evidence-based, community intervention aimed at preventing alcohol consumption among pregnant women and women in child-bearing age, through a regional-level pilot study.

The region chosen for the pilot was the Mazovian voivodeship in central Poland due to: relatively high prevalence of alcohol consumption reported by Polish pregnant women (from 15 to 39%, depending on the study) (3); significant FASD prevalence among Polish school students aged 7 to 9 years, in line with the estimated prevalence of FASD in the entire WHO European region (4) [the Polish prevalence is estimated to be higher than 20 cases per 1000; (5)].

The piloted program aimed to reduce the risk of prenatal alcohol exposure (PAE) in the general population of women of childbearing age. Specific objectives included:

• Reduction of risky alcohol consumption (among not pregnant women) and prevention of alcohol use among pregnant women;

• Increasing effective contraception use (among not pregnant women who drink alcohol), given that a high risk of fetal alcohol exposure is associated with unplanned pregnancy. Since a majority of women drink alcohol regularly (at least once a month), the likelihood that they will continue drinking until they find out they are pregnant is very high (6). Research indicates that about 30% of pregnancies in Poland are unplanned (7, 8);

• Increasing use of professional support to deal with complex psychological, medical and social challenges, which have been found to increase the risk of alcohol use during pregnancy.

Based on the literature review and consultation of Polish experts in the FAR SEAS project, depression was selected as one of the key factors to be addressed. The lifetime prevalence of depression among Polish women from 18 to 49 years of age is 4% (9). Systematic reviews have shown that about 10% of pregnant women and 13% of those who have given birth experience some type of mental disorder, most commonly depression or anxiety (10, 11). Although the estimates of the prevalence of depression during pregnancy vary widely, ranging from 0.5 to 51%, rates of depression, especially during the second and third trimesters of pregnancy, are substantial (12). Moreover, women with depression have shown greater difficulty in changing their behavior and reducing alcohol consumption during pregnancy than women without depression (13).

Intimate partner violence is another factor associated with a higher risk of alcohol consumption during pregnancy (1417). Research showed that 27% of women in Poland experienced domestic violence at least once (18). Women who experience violence live in unpredictable, hard-to-control and difficult to manage environments, which may impede their efforts to reduce drinking and practice birth control. They may also be at higher risk of using alcohol and other substances to self-medicate or cope with the unbearable situation (19).

The third risk factor taken into account in the FAR SEAS project is the use of other psychoactive substances, i.e., tobacco and illicit drugs (20). The prevalence of current tobacco smokers among Polish women of age 15 + is 17%, e-cigarettes smokers is 4% (21), lifetime prevalence of any drug among women from 18 to 64 years of age is 10% (the most popular illegal substances is marijuana and hashish, i.e., cannabis products –8% of surveyed women) (22). About 40% of women who drank alcohol during pregnancy also used at least one other psychoactive substance–most commonly tobacco and marijuana (23). Polydrug use during pregnancy may increase negative pregnancy outcomes and health problems for the child (2427).

2. Materials and methods

The pilot methodology was based on Participatory Action Research (PAR) (2831)—in order to build an understanding of the complexities of FASD prevention at the local and regional level, and to facilitate and evaluate community-based activities (empowering and activating local stakeholders, recruiting service providers, communication strategy, etc.). This approach facilitates capacity building in a community to promote health and solve problems; and acknowledges the fact that local knowledge is essential to achieve an accurate understanding of local problems, and to design the most adequate measures.

The general overview of the pilot project activities is presented on the flow chart (Figure 1) and described in details below. The local community multi-professional teams were recruited and trained in Spring 2021. Recruitment of the participating women took place between June and December 2021 and the follow up data collection from January to July 2022.

FIGURE 1
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Figure 1. The flow chart of the pilot project.

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Ethics Committee of State Agency for Prevention of Alcohol Related Problems (Poland). Informed consents were obtained from all subjects involved in the study (from local professionals and participants).

2.1. Target population

Females from 15 to 49 years of age were eligible to participate, whether pregnant or not pregnant, but without recognized infertility. Several entry points were planned to reach different groups of participants:

• Primary Health Care Units (PHCU)—for women of childbearing age (including pregnant women) coming for a routine visit.

• Gynecological centers–for women visiting gynecologists/obstetricians for checkups or at the beginning of pregnancy.

• Public mental health centers—for women with mental health disorders.

• Addiction treatment centers—for women with alcohol or drug use problems.

• Social Service Centers—for women with alcohol problems and/or psychosocial risk factors, as well as women whose children are at risk of being taken into foster care because of their mothers’ alcohol problems.

• Special centers for youth with behavioral disorders—for girls and young women (aged 15 +) who are at risk of unplanned teenage pregnancy.

• NGOs/Abstinence organizations—for women who either have/had alcohol problems themselves, or who live in families with alcohol-related problems.

In line with the PAR approach (2831), a non-probabilistic sampling method was applied participants. The local staff (service providers) guided by the FAR SEAS training, were encouraged to invite all women in childbearing age (15–49 years old) they were in touch with via any of the entry points mentioned above. The invitation to the project included providing information about the project (orally and by written form) and obtaining informed consent to participate.

In practice, the local specialists had a freedom in selecting the project participants. Qualitative data collected post hoc indicated that they adopted different strategies–some limited recruitment to their clients, and others–actively sought participants, also using their non-professional contacts in family and among friends. This flexible procedure was chosen as the most realistic and feasible approach, taking into account variability of local contexts, recruiting professionals, and entry points in the pilot project, as well as the difficulties in accessing the study target population.

2.2. Professionals

The intention of FAR SEAS was to create five independent multi-professional teams to work in the five communities within the region. As each local context is slightly different, with established leaders occupying a variety of roles, the first and vital step in creating the new local interdisciplinary teams was to invite representatives of local authorities to cooperate with the project, in order to identify key local institutions, and specialists who could form a team. After getting the service managers and planners on board, representatives from Primary Health Care (PHC), gynecology/obstetric centers, social services, mental health, addiction centers and other professions were invited to join each of the local teams. Their tasks included:

• Recruitment of participants;

• Collecting baseline data and assigning women to the appropriate intervention group (low, moderate, or high risk of alcohol exposed pregnancy);

• Providing services adequate to the allocation and/or referring participants to another specialist within the local team;

• Follow-up assessment of participants (approximately 6 months after recruitment).

Remuneration was offered to the providers for each activity within the project.

2.3. Training

All professionals were invited to participate in the online training aimed at building capacity to work within the local interdisciplinary team in the FAR SEAS pilot. The topics of the 7-h training course included: Risks and consequences of the consumption of alcohol and other drugs during pregnancy; skills and tools to address and prevent alcohol-related harm in pregnant and child-bearing age women; common understanding of the work to be done, data collection coordination and good cooperation and referral pathways within the local team. Volunteering staff members had the opportunity to attend additional training (11 h) on motivational interviewing (MI) and the CHOICES program (3133) aimed at preparing individuals to work with participants with moderate or high risk of alcohol exposed pregnancy.

2.4. Measures

After giving informed consent to participate in the project, participants were invited to have a structured computer assisted personal interview (CAPI) to determine their current pregnancy status (yes/no/trying to get pregnant), socio-demographic characteristics (age, education, work, family, and housing situation) and risk factors for alcohol use during pregnancy. The interview lasted approximately 20–30 min and no compensation was offered for baseline and follow up assessments, nor for the participation in interventions.

For women who were not pregnant, these risk factors included: (1) Risky alcohol consumption—measured with the AUDIT-C-test (34) and cut-off point 4. Where the score was 4+, the entire AUDIT test (35) was applied; and (2) Contraception use in the past 3 months—measured with two questions: (1) “Are you sexually active?” and if yes, and (2) “What contraceptive method do you normally use?” with a range of options [None, Condoms, Birth Control Pills, Vaginal Ring (NuvaRing), Contraceptive patch, Emergency Contraception (e.g., morning-after pill), Contraceptive progestin injection (medroxyprogesterone acetate/e.g., Depo-Provera Shot), IUD (intrauterine devices/coil), Birth control implant (e.g., Implanon, Nexplanon), Other]. The answers were dichotomized into “no” and “yes” use of contraception and sexually non-active participants were excluded from analysis.

Women who were pregnant at the time of recruitment, were asked the AUDIT-C questions first, in reference to the last 3 month before getting pregnant; and, then, the same questions but on the period during pregnancy. Score of 4+ before pregnancy was interpreted as a risk factor for alcohol use at least in the first trimester, and any alcohol use during pregnancy was an indicator of risk.

All participants were asked about current use of (a) cigarettes and (b) other drugs (psychoactive substances, sedatives or sleeping pills). Women who were not pregnant could choose one of four answers (Never used; I used to use it, but now I don’t use it; I use occasionally; I use regularly). Pregnant women had two more options: I used to smoke, but now I do not smoke because of the pregnancy; I have reduced smoking since being pregnant.

Psychosocial risk factors included depressive symptoms measured with the PHQ-9 (3638). Moderate or higher severity of symptoms (score 10 +) was interpreted as the risk factor. Screening for domestic violence was based on the questionnaire “Assessment of the family situation in terms of violence” (39), and a positive answer to any of the 9 questions asking about different forms of physical, psychological or economical violence (e.g., “Has your partner or someone close to you ever behaved this way toward you?”: “pushed, tugged, pulled hair”; “humiliated/criticized”), was taken as an indicator of risk.

The use of services was measured with one question: “In the last 3 months, have you had any advice/consultation with a GP/nurse, gynecologist/midwife, Social worker, Addiction therapist, Psychologist/psychiatrist?” For each specialist the respondent indicated never, 1–2 times or 3 times or more.

The same questions were asked in the follow-up session approximately 6 months after recruitment. Alcohol, contraception, and service-use were the key outcome measures, and psychosocial risk factors (cigarette and drug use, depressiveness and domestic violence)—secondary outcomes.

2.5. Allocation to the risk group and interventions

Based on the screening results, participants were allocated to a low-, moderate- or high-risk group for risk of having a baby with FASD (Table 1). To do this, the local staff member(s) were instructed to follow the criteria:

TABLE 1
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Table 1. Risk groups allocation criteria.

1. Low risk means: (a) if a participant is pregnant—abstinent since before pregnancy OR before pregnancy used to drink moderately (AUDIT-C score <4) and stopped drinking as soon as she learned about pregnancy; and (b) if not pregnant—no hazardous drinking and use of contraceptive measures.

2. Moderate risk means: (a) if a participant is pregnant—risky alcohol consumption (AUDIT-C score 4 +) in the past (before pregnancy) AND/OR presence of significant psychosocial risk factors (depressiveness and/or violence, and/or economic challenges, and/or use of drugs); and (b) if not pregnant—risky alcohol consumption AND/OR psychosocial risk factors including no use of contraceptive measures.

3. High risk means: (a) if a participant is pregnant—current alcohol use; and (b) if not pregnant—alcohol use disorders.

Despite the outcome according to these guiding criteria, the final decision about allocation and the intervention offered to the individual client, was always made by the local team member(s) based on their professional experience and any additional information they might have (e.g., from the contacts with a client prior to the FAR SEAS project).

The local teams were encouraged to follow up the screening by offering the intervention adequate to a client’s needs (1):

• To participants at low risk of alcohol exposed pregnancy—brief feedback to support their attitude and underline the importance of alcohol abstinence during pregnancy.

• To those in the moderate-risk group—activities providing the opportunity for safe discussion about reproductive health, contraception, pregnancy, alcohol use and related issues in a form of brief intervention (40, 41) and/or 1 to 4 individual motivational sessions (according to the client needs) aimed at changing at least one of the risky behaviors: alcohol use and/or sex without contraception [based on: Project CHOICES (3133)].

• To those in the high-risk group–who need special support to deal and cope with their individual risk factors that make them especially vulnerable for giving birth to a child with FASD—supportive, specialized services, i.e., individual motivational sessions and/or referral to specialists in addiction therapy, psychotherapy, medicine etc., according to individual needs.

Typically, the interventions were provided in the same setting in which a participant was recruited, except for visits in a participant’s home. No compensations on retention in the project was offered to participants.

The intervention period started immediately after the recruitment of a participant. Usually, the first step, was to provide feedback on the screening results and, in the case of women from the low risk group—it was often the sole form of intervention. If more intensive measures were needed, the intervention period could be extended to a maximum of 6 months, although it usually lasted about 2–3 months, depending on the type of services and the availability of the participant. For example, some participants did not immediately decide to participate in sessions based on the CHOICES project, or returned after a longer absence for a referral to a specialist.

In general, interventions that the local specialists proposed to the participants covered the full spectrum of possibilities provided for in the project (Figure 2). For women from the moderate risk group, the next step (after feedback) was a brief intervention (in most cases—covering two meetings 1 or 2 weeks apart) or motivational interview sessions aimed at reducing risky drinking and/or encouraging use of contraception. In average the number of motivational sessions based on the CHOICES approach for one participant was 1.9 but, as the final decision about the extent of the support needed by a particular participant was made individually by a local specialist, in two cases of women at high-risk of PAE, support was extended to 5 and 6, compared to 4 sessions initially planned.

FIGURE 2
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Figure 2. The percentage of participants (n = 441) who received a given form of intervention within the project.

Individualized support plans were developed for n = 170 women including, individual motivational sessions and referrals to specialists (psychologist, gynecologist, midwife, addiction therapist, and others). The individualized offer for 5 participants also included home visits.

2.6. Data analysis

Analyses were performed using IBM SPSS Statistics 28.0. In case of the continuous variable—participants’ age, the F-test was adopted to make cross-group comparisons. All other data were presented as frequencies (Freq) for categorical variables, and the chi-squared test was adopted for comparisons between groups. The evaluation of improvements in desired outcomes was based on the non-parametric sign test, testing differences between pairs of observations before and after intervention. The sizes of groups with positive values at baseline and follow-up were compared in the entire sample, and in the sub-groups differentiated by the level of risk of having a baby with FASD. In all tests, a p-value of <0.05 was considered statistically significant. To illustrate and facilitate interpretation of the statistically significant results, the coefficients of variation between measures were calculated according to the formula:

F r e q ( f o l l o w u p ) - F r e q ( b a s e l i n e ) ] / F r e q ( b a s e l i n e ) * 100 .

3. Results

3.1. Characteristics of professionals

Initially, 30 specialists from 5 different sites–two towns (Płock, and Radom) and 3 districts of Warsaw City–agreed to participate in the project. Teams from two of the Warsaw districts withdrew from the project just before or immediately after the initial training. Therefore, an additional team (5 professionals: 2 social workers, 1 psychologist, 1 pedagogue, 1 addiction therapist) from another town–Pruszków–was recruited. In the end, 31 professionals participated in the initial training and 25 of these undertook project activities. Most of them were social workers and/or family assistants–providing practical support to the family in consultation with the social worker (42) (4 in Plock, 3 in Radom, 2 in Ursus). All local teams included at least one psychologist (2 in Radom) and one addiction therapist. The Płock team included also the pedagogue and the member of the abstainers’ association. No one medical doctor was involved in any of the teams but in Radom one midwife and in Płock one nurse/midwife was engaged.

3.2. Characteristics of participants

The final sample consisted of N = 441 women recruited into the project by local staff. The majority of participants were recruited via social services (77.3%), followed by addiction therapy (5.7%) and health care facilities (2.5%). All other participants (14.5%) were recruited via personal contacts of local staff members (all profiles) or NGOs. Among the recruited participants, 9.5% (N = 42) were pregnant at the time of recruitment.

The majority of participants were recruited in Płock (61.7%), followed by Radom (34%). After screening, 69.6% of the total sample were allocated to the low-risk group (N = 307); 22.67% to the moderate-risk group (N = 100); and to the high-risk group 7% (N = 31) (Table 2).

TABLE 2
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Table 2. Recruitment of participants and their allocation to alcohol exposed pregnancy risk group by the entry site location.

The mean age of participating women was 33 years (SD = 8.46), ranging from 16 to 49 years (2 participants were underage—16 and 17 years old). Regarding other socio-demographic characteristics: almost half of the sample were married or in a constant relationship (49%); 75% had secondary or higher education; and over 60% were employed. Significant differences in terms of socio-demographic features between risk groups have been noted (Table 3): in mean age (the low-risk group being significantly older); occupational status (employment rate decreased with group risk); marital and living status (constant relationships and living with a husband/partner and a child/children were most prevalent in low-risk group).

TABLE 3
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Table 3. Baseline characteristics of participants by their allocation to alcohol exposed pregnancy risk group.

As expected, given the allocation process, the prevalence of psychosocial factors increasing the risk of alcohol use during pregnancy (being a victim of domestic violence, elevated risk of depression, psychoactive substance use, and risky drinking when not pregnant) were the lowest in the low-risk group and the highest in the high-risk group. The only risk factor for which the statistical test of inter-group differences did not reach the significance level was the use of contraceptive measures. Across all groups, nearly half of the participants (46.9%) did not use contraception.

3.3. Follow-up results

At follow up, data were collected from 411 participants (93.2% of the sample).

Among the 42 women who were pregnant at the time of the recruitment, n = 5 reported risky alcohol consumption before pregnancy and n = 3 reported any alcohol use during pregnancy (Table 3). None of the n = 7 women who were still pregnant at the time of the follow-up measurement drank alcoholic beverages. These differences were not tested statistically.

In the entire sample of not pregnant women, self-reported risky alcohol consumption dropped at follow-up after 6 months indicating the coefficient of variation = −81.25, and contraception use increased by 15 percentage points (Table 4).

TABLE 4
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Table 4. Changes in the risk factors of FASD in a child between the baseline and the follow-up, assessed with the sign test (entire sample).

Changes in all other risk factors were assessed in the entire sample (regardless of the pregnancy status at the time of recruitment). Positive outcomes (decreases) were observed for all psychosocial risk factors: current cigarette and drug use, domestic violence, and depressive symptoms. No changes occurred in the frequency of visits to specialists, except for visiting a gynecologist, which increased by 39.19 percentage points (Table 4).

The analysis of changes in FASD risk factors in the low-risk group of participants (Table 5) indicated a significant increase in contraception use and visits to a gynecologist (by 9.49 and 32.14 percentage point, respectively). At the same time, the number of current cigarette smokers decreased in this group by 22.22 percentage points.

TABLE 5
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Table 5. Changes in the risk factors of FASD in a child between the baseline and the follow-up in the low-risk group, assessed with the sign test.

In the moderate-risk group, significant changes occurred in all outcome variables in the desired direction (Table 6).

TABLE 6
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Table 6. Changes in the risk factors of FASD in a child between the baseline and the follow-up in the moderate-risk group, assessed with the sign test.

In the high-risk group, risky alcohol consumption dropped by 61.11 percentage points, depressive symptoms by 63.64, and domestic violence by 100 (Table 7).

TABLE 7
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Table 7. Changes in the risk factors of FASD in a child between the baseline and the follow-up in the high-risk group, assessed with the sign test.

No negative effects of the interventions were noted in any of the sub-groups, nor in the sample as a whole.

4. Discussion

The evaluation showed positive results of the interventions conducted in terms of the change in the key targeted behavior, i.e., a reduction in the percentage of women who drink alcohol in a risky manner. Significant decrease in psychosocial risk factors (current cigarette and drug use, depressiveness, and reporting domestic violence) were also observed. Positive changes were also noted, but on a smaller scale, in terms of the increasing percentage of women using contraception and visiting specialists in gynecology.

These positive results were obtained in spite of the COVID-19 pandemic restrictions introduced in Poland in 2020 and unprecedented conditions of health work at that time. Due to the COVID-19 pandemic, health professionals in particular were overstretched and limited their work with patients to telephone counseling. It is likely that this was one of the main reasons for the low levels of medical professionals participating. But, as indicated the unofficial recruitment talks, there were also other barriers, such as, e.g., those reported in the Danish study (43): poor confidence in navigating between health and social care systems, fear of breaking the professional-patient alliance when touching the alcohol consumption issues in antenatal care or reporting to the social services.

An absence or scarcity of medical professionals in the local teams created additional challenges for the other professionals active in the project. However, the positive outcomes of evaluation indicate that the implementation of FASD prevention initiatives by professionals in the social care system, among others, is feasible and can be effective. This conclusion from our study seems particularly important and interesting due to the limited number of publications on the activities of social workers in the area of preventing alcohol consumption during pregnancy. Studies on the effectiveness of brief interventions or counseling are usually conducted in healthcare settings (44, 45). The community approach is applied only to work in the case management paradigm, with women proven to be at high risk for drinking during pregnancy (46, 47). Social workers’ role is discussed, either as an element of much broader multi sectoral system approach (48, 49) or as recipients of professional trainings (50, 51).

Although our project is a pilot–focused on feasibility, process, and reaching different groups, rather than focusing purely on the effectiveness of a single prescriptive approach (52, 53), it provides the impetus for further exploration of the outcomes of FASD preventive interventions by social workers. In particular, it is notable that the professionals in our pilot project had considerable freedom of action, as indicated by fact that they made decisions on the scope of intervention for individual participants on their own or after consultations with other members of the local team. These decisions concerned, for example, the number of individual motivational sessions to conduct with each woman. The American experience of the CHOICES program shows that, depending on the individual recipient, working with 1, 2, or 4 sessions may be effective (3133). Because our specialists worked with very different women (pregnant and not pregnant; occasional, risky or problem drinkers; with or without other psychosocial problems), they independently decided how many sessions to conduct in a given case. This highly individualized, tailored approach was probably one of the biggest strengths of the FAR SEAS project pilot, in line with the recommendations from the systematic review of FASD prevention programs (54). It could be concluded that the FAR SEAS pilot study tested the scale-up of a new flexible intervention approach, addressed at a broad target group of women, but tailored to the different women’s characteristics and situations.

The specific profiles of the intervention teams, relying largely on social workers, also determined the profile of participants reached, among which there were few pregnant women. On the other hand, the rate of people at higher risk of drinking alcohol during pregnancy in our sample (30% classified to moderate and high risk groups) was higher than in the general population [based on the data indicating that 22% of women of child bearing age in Poland have had at least one Risky Single Occasion Drinking—RSOD episode in the past 12 months (55)].

The small number of pregnant participants in the study does not allow conclusions to be drawn on the effectiveness of the FAR SEAS approach during pregnancy specifically (even in a situation where we did not record any cases of alcohol consumption among participants who were pregnant at the time of last study visit). However, our findings do suggest positive influences of the interventions on the participants taken as a whole, especially those who drink alcohol at risky level and/or present other psycho-social risk factors of drinking alcohol during pregnancy, and therefore at higher risk of giving birth to a child with FASD (i.e., our moderate-risk group).

Given the importance of being able to target the intervention to the group most in need of support, i.e., women most at high risk of alcohol exposed pregnancy, the result indicating significant reductions in risky alcohol consumption among the high-risk subgroup is very promising. It is also important that the interventions offered to this group within the FAR SEAS project had positive effects on their domestic situation (reduced violence) and mood (depressive symptoms). However, more intensive or different interventions, or the engagement of other specialists (probably, linking to health professionals) are needed to improve their reproductive health (i.e., contraception use, visiting a gynecologist), and to reduce other psychoactive substance use in pregnancy.

The improvement of some health behaviors (use of contraceptive measures, visits to a gynecologist, reduced cigarette smoking) in the low-risk group, suggests a need for basic health education for the general Polish population, especially among women in childbearing age.

The applicability of the study results to different populations and contexts may be limited by the uneven spread of participants across the different geographical and urban sites. An unstable social and medical situation at the time of the study made the recruitment of local stakeholders and individual specialists very difficult. Out of the six local teams that signed up for the project, only 4 teams were active, including 2 which were active only at a minimal level. In two other locations of the project (Płock and Radom), interdisciplinary teams of specialists (social workers, psychologists, addiction therapists, midwifes) were established to implement all the planned activities. Both highly active teams were led by people evidently well predisposed to this role: engaged, well organized, oriented to problem-solving and communicative (56, 57). In Radom the leader from social service center was appointed by the local authorities, while in Płock—one of social workers volunteered to this role. These teams managed to recruit and attend over 400 participants, the vast majority (93%) of whom also took part in the final measurement, which is a strength of the current data set. It is possible that a lack of good coordination and leadership was one of the reasons for the limited uptake and success of the pilot in the two other teams.

One other limitation of the study, which is encountered in many alcohol prevention interventions, is the reliance on self-reported data for alcohol use, which may result in a social desirability bias (which we can expect to be especially present among pregnant women in the follow-up sessions). In addition, the freedom of local staff in selecting the project participants, although reflecting natural context of their work, may be considered a limitation of the study. It is possible that, consciously or subconsciously, they introduced a bias by inviting women they feel they can more easily work with, who may not be those most in need of the intervention. This indicates the need of more rigorous training and enforcement of research experiment standards in future studies.

5. Conclusion

The positive results of the pilot project indicate the feasibility and validity of implementing multi-center regional FASD prevention through inter-disciplinary teams at the community level. The most prominent changes in the prevalence of risky alcohol consumption were observed in the moderate risk group indicating potentially high returns on investment of addressing FASD prevention and interventions to this group; which should not be overlooked, despite the priority of focusing on women at high risk of alcohol exposed pregnancies. The results suggest an opportunity to build on the receptivity of women in the moderate risk group to prevention and advice, and that delivering timely interventions may prevent women from developing more risky behaviors leading to alcohol exposed pregnancies. Dissemination of FASD prevention at the local level requires the involvement of local authorities and directors of key institutions and coordinated work in a multidisciplinary team, which is one of the key facilitators of good implementation and sustainability of FAS/FASD prevention.

The main learning points and findings from the FAR SEAS pilot study have been fed forward into the FAR SEAS Guidance, which comprises 22 evidence-based recommendations, validated through international expert consensus, aimed at reducing alcohol consumption in women of childbearing age, particularly in pregnant women.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The study involving humans was approved by the Ethics Committee of State Agency for Prevention of Alcohol Related Problems (Poland). The study was conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants’ legal guardians/next of kin.

Author contributions

KO-K, LS-G, FB, CG, and ES contributed to conception and design of the study. KO-K and MZ-S organized the database. KO-K, SG, and MZ-S performed the statistical analysis. KO-K, FB, LS-G, and CB wrote the first draft of the manuscript and sections of the manuscript. FB, SM, KO-K, and LS-G supervised the project implementation. FB and SM administered the project. FB, SM, and KO-K acquired funding for the project. All authors contributed to manuscript revision, read, and approved the submitted version.

Funding

This research was produced under the FAR SEAS service contract (Fetal Alcohol Reduction and EU Knowledge Exchange after SEAS—www.far-seas.eu, Contract No. 20187106) with the Health and Digital Executive Agency (HaDEA) acting under the mandate from the European Commission (DG SANTE).

Acknowledgments

We would like to thank the professionals engaged in the pilot project in their local communities; the Polish experts for their advice and the women which took part in the pilot project.

Conflict of interest

The 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.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Author disclaimer

The information and views set out in this report/article/presentation are those of the author(s), and the accuracy and veracity of these are the author’s responsibility. Accordingly, the information and views presented during sessions cannot be considered to reflect the views the Commission and/or HaDEA or any other body of the European Union. The European Commission and the Agency do not accept any responsibility for use that may be made of the in-formation contained therein.

References

1. Poole NA. Fetal Alcohol Spectrum Disorder (FASD) Prevention: Canadian Perspectives. (2008). Available online at: https://www.canada.ca/en/public-health/services/health-promotion/childhood-adolescence/programs-initiatives/fetal-alcohol-spectrum-disorder-fasd/publications/canadian-perspectives.html (accessed March 15, 2023).

Google Scholar

2. Eur Lex. An EU Strategy to Support Member States in Reducing Alcohol Related Harm. (2023). Available online at: https://ec.europa.eu/health/ph_determinants/life_style/alcohol/documents/alcohol_com_625_en.pdf (accessed March 15, 2023).

Google Scholar

3. Okulicz-Kozaryn K, Terlikowska J, Brzózka K, Borkowska M. Prevention and intervention for FASD in Poland. J Pediatr Neuropsychol. (2017) 3:79–92. doi: 10.1007/s40817-016-0025-9

CrossRef Full Text | Google Scholar

4. Lange S, Probst C, Gmel G, Rehm J, Burd L, Popova S. Global prevalence of fetal alcohol spectrum disorder among children and youth: a systematic review and meta-analysis. JAMA Pediatr. (2017) 171:948–56.

Google Scholar

5. Okulicz-Kozaryn K, Borkowska M, Brzózka K. FASD prevalence among schoolchildren in Poland. J Appl Res Intellect Disabil. (2015) 30:61–70. doi: 10.1111/jar.12219

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Tough S, Tofflemire K, Clarke M, Newburn-Cook C. Do women change their drinking behaviors while trying to conceive? An opportunity for preconception counseling. Clin Med Res. (2006) 4:97–105. doi: 10.3121/cmr.4.2.97

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Majda A, Zalewska-Puchała J, Kamińska A, Sklorz J. Uwarunkowania seksualności kobiet ciężarnych w Polsce. Hygeia Public Health. (2014) 49:864–9.

Google Scholar

8. Morylowska-Topolska J, Makara-Studzińska M, Kotarski J. Wpływ wybranych zmiennych socjodemograficznych i medycznych na nasilenie objawów lękowych i depresyjnych w poszczególnych trymestrach ciąży. Psychiatr Pol. (2014) 48:173–86.

Google Scholar

9. Świtaj P. Rozpowszechnienie depresji – epizody depresji. In: Moskalewicz J, Wciórka J editors. Kondycja psychiczna mieszkańców Polski. Raport z badań, Kompleksowe badanie stanu zdrowia psychicznego społeczeństwa i jego uwarunkowań – EZOP II”. Warszawa: Instytut Psychiatrii i Neurologii (2021). p. 297–309.

Google Scholar

10. Hendrick V. Evaluation of mental health and depression during pregnancy. Psychopharmacol Bull. (1998) 34:297–9.

Google Scholar

11. O’Hara MW, Swain AM. Rates and risks of postpartum depression - a meta-analysis. Int Rev Psychiatry. (1996) 8:37–54. doi: 10.3109/09540269609037816

CrossRef Full Text | Google Scholar

12. Bennett HA, Einarson A, Taddio A, Koren G, Einarson TR. Prevalence of depression during pregnancy: systematic review. Obstet Gynecol. 2004;103:698–709. Err Obstet Gynecol. (2004) 103:1344. doi: 10.1097/01.AOG.0000116689.75396.5f

PubMed Abstract | CrossRef Full Text | Google Scholar

13. DiClemente CC, Nidecker M, Bellack AS. Motivation and the stages of change among individuals with severe mental illness and substance abuse disorders. J Subst Abuse Treat. (2008) 34:25–35.

Google Scholar

14. Astley SJ, Bailey D, Talbot C, Clarren SK. Fetal alcohol syndrome (FAS) primary prevention through FAS diagnosis: II. A comprehensive profile of 80 birth mothers of children with FAS. Alcohol Alcohol. (2000) 35:509–19. doi: 10.1093/alcalc/35.5.509

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Eaton LA, Kalichman SC, Sikkema KJ, Skinner D, Watt MH, Pieterse D, et al. Pregnancy, alcohol intake, and intimate partner violence among men and women attending drinking establishments in a Cape Town, South Africa township. J Community Health. (2012) 37:208–16. doi: 10.1007/s10900-011-9438-7

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Bakhireva LN, Wilsnack SC, Kristjanson A, Yevtushok L, Onishenko S, Wertelecki W, et al. Paternal drinking, intimate relationship quality, and alcohol consumption in pregnant Ukranian women. J Stud Alcohol Drugs. (2011) 2011:536–44. doi: 10.15288/jsad.2011.72.536

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Deutsch AR. The importance of intimate partner violence in within-relationship and between-person risk for alcohol-exposed pregnancy. Alcoholism Clin Exp Res. (2019) 43:679–89. doi: 10.1111/acer.13968

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Miedzik M. Badania porównawcze oraz diagnoza skali występowania przemocy w rodzinie wśród osób dorosłych i dzieci, z podziałem na poszczególne formy przemocy wraz z opisem charakterystyki ofiar przemocy i sprawców. Diagnoza i porównanie skali zjawiska przemocy w rodzinie oraz ocena efektywności działań podejmowanych na rzecz przeciwdziałania przemocy w rodzinie – raport z badań ogólnopolskich. Wyniki badań PSDB dla Ministerstwa Pracy i Polityki Społecznej, 2014r. (2014). Available online at: https://www.gov.pl/attachment/af502517-42d0-49e2-a58f-0113b1635a14

Google Scholar

19. Wolfson L, Harding K, Poole N. The Role of Partners in Fetal Alcohol Spectrum Disorder Prevention. CanFASD. (2019). Available online at: https://canfasd.ca/wp-content/uploads/publications/the-role-of-partners-in-fetal-alcohol-spectrum-disorder-prevention.pdf

Google Scholar

20. Board A, D’Angelo DV, von Essen SB, Denny CH, Miele K, Dunkley J, et al. Polysubstance use during pregnancy: the importance of screening, patient education, and integrating a harm reduction perspective. Drug Alcohol Depend. (2023) 247:109872. doi: 10.1016/j.drugalcdep.2023.109872

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Gus. Stan zdrowia Ludności Polski w 2019 r. Health Status of Population in Poland in 2019. (2021). Available online at: https://stat.gov.pl/download/gfx/portalinformacyjny/pl/defaultaktualnosci/5513/6/7/1/stan_zdrowia_ludnosci_polski_w_2019.pdf

Google Scholar

22. Malczewski A. Substancje Psychoaktywne - Postawy i Zachowania. Wyniki Ostatnich Badań. Serwis Informacyjny UZALEŻNIENIA nr 2 (90). (2020). Available online at: https://kcpu.gov.pl/wp-content/uploads/2023/03/siu90-7.pdf

Google Scholar

23. England LJ, Bennett C, Denny CH, Honein MA, Gilboa SM, Kim SY, et al. Alcohol use and co-use of other substances among pregnant females aged 12–44 years – United States, 2015–2018. MMWR Morb Mortal Wkly Rep. (2020) 69:1009–14. doi: 10.15585/mmwr.mm6931a1

PubMed Abstract | CrossRef Full Text | Google Scholar

24. O’Brien JW, Hill SY. Effects of prenatal alcohol and cigarette exposure on offspring substance use in multiplex, alcohol-dependent families. Alcohol Clin Exp Res. (2014) 38:2952–61. doi: 10.1111/acer.12569

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Myers B, Koen N, Donald KA, Nhapi RT, Workman L, Barnett W, et al. Effect of hazardous alcohol use during pregnancy on growth outcomes at birth: findings from a south African cohort study. Alcohol Clin Exp Res. (2018) 42:369–77. doi: 10.1111/acer.13566

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Day NL, Richardson GA. Comparative teratogenicity of alcohol and other drugs. Alcohol Health Res World. (1994) 18:42–8.

Google Scholar

27. Acog Committee Opinion. Marijuana Use During Pregnancy and Lactation. Number 722. (2017). Available online at: https://www.acog.org/clinical/clinical-guidance/committee-opinion/articles/2017/10/marijuana-use-during-pregnancy-and-lactation

Google Scholar

28. Baum F, MacDougall C, Smith D. Participatory action research. J Epidemiol Community Health. (2006) 60:854–7.

Google Scholar

29. McDonald. Understanding participatory action research: a qualitative research methodology option. Can J Action Res. (2012) 13:34–50.

Google Scholar

30. Chevalier JM, Buckles D. Participatory Action Research: Theory and Methods for Engaged Inquiry. Second ed. Abingdon: Routledge (2019).

Google Scholar

31. The Project Choices Intervention Research Group. Reducing the risk of alcohol-exposed pregnancies: a study of a motivational intervention in community settings. Pediatrics. (2003) 111(Supplement 1):1131–5.

PubMed Abstract | Google Scholar

32. Ingersoll KS, Ceperich SD, Nettleman MD, Karanda K, Brocksen S, Johnson BA. Reducing alcoholexposed pregnancy risk in college women: initial outcomes of a clinical trial of a motivational intervention. J Subst Abuse Treat. (2005) 29:173–80.

Google Scholar

33. Ceperich SD, Ingersoll KS. Motivational interviewing + feedback intervention to reduce alcohol-exposed pregnancy risk among college binge drinkers: determinants and patterns of response. J Behav Med. (2011) 34:381–95. doi: 10.1007/s10865-010-9308-2

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Bradley KA, DeBenedetti AF, Volk RJ, Williams EC, Frank D, Kivlahan DR. AUDIT-C as a brief screen for alcohol misuse in primary care. Alcohol Clin Exp Res. (2007) 31:1208–17.

Google Scholar

35. Saunders JB, Aasland OG, Babor TF, De La Fuente JR, Grant M. Development of the alcohol use disorders identification test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption—II. Addiction. (1993) 88:791–804. doi: 10.1111/j.1360-0443.1993.tb02093.x

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. (2001) 16:606–13.

Google Scholar

37. Tomaszewski K, Zarychta M, Bieńkowska A. Walidacja polskiej wersji językowej. Patient Health Questionnaire-9 w populacji hospitalizowanych osób starszych. Psychiatr Pol. (2011) 45:223–33.

PubMed Abstract | Google Scholar

38. Kokoszka A, Jastrzębski A, Obrębski M. Ocena psychometrycznych właściwości polskiej wersji Kwestionariusza Zdrowia Pacjenta-9 dla osób dorosłych. Psychiatry. (2016) 13:187–93.

Google Scholar

39. Kluczyńska S, Wrona G. Lekarzu reaguj na przemoc. Przewodnik dla pracowników ochrony zdrowia. Warszawa – Kraków: Instytut Łukasiewicza na zlecenie Państwowej Agencji Rozwiązywania Problemów Alkoholowych (2013).

Google Scholar

40. WHO. Guidelines for the Identification and Management of Substance Use and Substance Use Disorders in Pregnancy. (2016). Available online at: https://apps.who.int/iris/bitstream/handle/10665/107130/9789241548731_eng.pdf;jsessionid=A6556244BD91CF2E4CAE55A07ACA33E7?sequence=1 (Accessed March 15, 2023).

Google Scholar

41. Nathoo T, Poole N, Wolfson L, Schmidt R, Hemsing N, Gelb K. Doorways to Conversation: Brief Intervention on Substance Use with Girls and Women. Vancouver, BC: Centre of Excellence for Women’s Health (2018).

Google Scholar

42. Czechowska-Bieluga M. Pracownik socjalny i asystent rodziny w systemie wspierania rodziny. Annales Universitatis Mariae Curie-Skłodowska. Sectio J Paedagogia-Psychol. (2020) 33:73–82. doi: 10.17951/j.2020.33.1.73-82

CrossRef Full Text | Google Scholar

43. Brygger Venø L, Pedersen LB, Søndergaard J, Ertmann RK, Jarbøl DE. Challenges in the cross-sectoral collaboration on vulnerable pregnant women: a qualitative study among Danish general practitioners. BMC Prim Care. (2022) 23:187. doi: 10.1186/s12875-022-01773-0

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Erng MN, Smirnov A, Reid N. Prevention of alcohol-exposed pregnancies and fetal alcohol spectrum disorder among pregnant and postpartum women: a systematic review. Alcohol Clin Exp Res. (2020) 44:2431–48. doi: 10.1111/acer.14489

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Popova S, Dozet D, Pandya E, Sanches M, Brower K, Segura L, et al. Effectiveness of brief alcohol interventions for pregnant women: a systematic literature review and meta-analysis. BMC Pregnancy Childbirth. (2023) 23:61. doi: 10.1186/s12884-023-05344-8

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Eisen M, Keyser-Smith J, Dampeer J, Sambrano S. Evaluation of substance use outcomes in demonstration projects for pregnant and postpartum women and their infants: findings from a quasi-experiment. Addict Behav. (2000) 25:123–9. doi: 10.1016/s0306-4603(98)00116-6

PubMed Abstract | CrossRef Full Text | Google Scholar

47. May PA, Miller JH, Goodhart KA, Maestas OR, Buckley D, Trujillo PM, et al. Enhanced case management to prevent fetal alcohol spectrum disorders in northern plains communities. Matern Child Health J. (2008) 12:747–59. doi: 10.1007/s10995-007-0304-2

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Rutman D, Hubberstey C. National evaluation of Canadian multi-service FASD prevention programs: interim findings from the co-creating evidence study. Int J Environ Res Public Health. (2019) 16:1767. doi: 10.3390/ijerph16101767

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Poole N, Stinson J, Wolfson L, Huber E. Beyond screening: ideas and actions to address preconception substance use. IJBPE. (2022) 9:2.

Google Scholar

50. Adebiyi BO, Mukumbang FC, Cloete LG, Beytell AM. Exploring service providers’ perspectives on the prevention and management of fetal alcohol spectrum disorders in South Africa: a qualitative study. BMC Public Health. (2018) 18:1238. doi: 10.1186/s12889-018-6126-x

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Adebiyi BO, Mukumbang FC, Beytell AM. A guideline for the prevention and management of fetal alcohol spectrum disorder in South Africa. BMC Health Serv Res. (2019) 19:809. doi: 10.1186/s12913-019-4677-x

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Leon AC, Davis LL, Kraemer HC. The role and interpretation of pilot studies in clinical research. J Psychiatr Res. (2011) 45:626–9. doi: 10.1016/j.jpsychires.2010.10.008

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Kistin C, Silverstein M. Pilot studies: a critical but potentially misused component of interventional research. JAMA. (2015) 314:1561–2. doi: 10.1001/jama.2015.10962

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Jacobsen B, Lindemann C, Petzina R, Verthein U. The universal and primary prevention of foetal alcohol spectrum disorders (FASD): a systematic review. J Primary Prevent. (2022) 43:297–316. doi: 10.1007/s10935-021-00658-9

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Sierosławski J, Moskalewicz J, Mäkelä P, Gisle L, Palle C, Ghirini S, et al. Alcohol consumption. In: Moskalewicz J, Room R, Thom B editors. Comparative Monitoring of Alcohol Epidemiology Across the EU. Baseline Assessment and Suggestions for Future Action. Synthesis Report. Parpa: RARHA (2016). p. 73–112.

Google Scholar

56. Hogan R, Kaiser RB. What we know about Leadership. Rev Gen Psychol. (2005) 9:169–80. doi: 10.1037/1089-2680.9.2.169

CrossRef Full Text | Google Scholar

57. Connelly MS, Gilbert JA, Zaccaro SJ, Threlfall KV, Marks MA, Mumford MD. Exploring the relationship of leadership skills and knowledge to leader performance. Leadersh Quar. (2000) 11:65–86.

Google Scholar

Keywords: fetal alcohol spectrum disorder (FASD), prenatal alcohol exposure, prevention, intervention, local community

Citation: Okulicz-Kozaryn K, Segura-García L, Bruguera C, Braddick F, Zin-Sędek M, Gandin C, Słodownik-Przybyłek L, Scafato E, Ghirini S, Colom J and Matrai S (2023) Reducing the risk of prenatal alcohol exposure and FASD through social services: promising results from the FAR SEAS pilot project. Front. Psychiatry 14:1243904. doi: 10.3389/fpsyt.2023.1243904

Received: 21 June 2023; Accepted: 29 August 2023;
Published: 15 September 2023.

Edited by:

Petal Petersen Williams, South African Medical Research Council, South Africa

Reviewed by:

Apophia Agiresaasi, Makerere University, Uganda
Yukiko Washio, RTI International, United States

Copyright © 2023 Okulicz-Kozaryn, Segura-García, Bruguera, Braddick, Zin-Sędek, Gandin, Słodownik-Przybyłek, Scafato, Ghirini, Colom and Matrai. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Katarzyna Okulicz-Kozaryn, katarzyna.okulicz@imid.med.pl

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.