Next Article in Journal
Understanding Consumers’ Food Waste Reduction Behavior—A Study Based on Extended Norm Activation Theory
Next Article in Special Issue
Experiences and Perspectives of Marketing Authorisation Holders towards Medication Safety Monitoring during Pregnancy: A Pan-European Qualitative Analysis
Previous Article in Journal
Spatio-Temporal Heterogeneity of Carbon Emissions and Its Key Influencing Factors in the Yellow River Economic Belt of China from 2006 to 2019
Previous Article in Special Issue
The Contraindications to Combined Oral Contraceptives among Reproductive-Aged Women in an Obstetrics and Gynaecology Clinic: A Single-Centre Cross-Sectional Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Drug Prescriptions among Italian and Immigrant Pregnant Women Resident in Italy: A Cross-Sectional Population-Based Study

by
Paola D’Aloja
1,*,†,
Roberto Da Cas
2,†,
Valeria Belleudi
3,
Filomena Fortinguerra
4,
Francesca Romana Poggi
3,
Serena Perna
4,
Francesco Trotta
4,‡,
Serena Donati
1,‡ and
MoM-Net Group
§
1
National Centre for Disease Prevention and Health Promotion, Istituto Superiore di Sanità (National Institute of Health), 00161 Rome, Italy
2
National Centre for Drug Research and Evaluation, Istituto Superiore di Sanità (National Institute of Health), 00161 Rome, Italy
3
Department of Epidemiology, Lazio Regional Health Service, 00145 Rome, Italy
4
HTA & Pharmaceutical Economy Division, Italian Medicines Agency (AIFA), 00187 Rome, Italy
*
Author to whom correspondence should be addressed.
Equally contributed as first authors.
Equally supervised this study.
§
Membership of the MoM-Net Group is provided in the Acknowledgments.
Int. J. Environ. Res. Public Health 2022, 19(7), 4186; https://doi.org/10.3390/ijerph19074186
Submission received: 15 February 2022 / Revised: 28 March 2022 / Accepted: 29 March 2022 / Published: 1 April 2022
(This article belongs to the Special Issue Pharmacotherapy during Pregnancy, Childbirth and Lactation)

Abstract

:
Ensuring drug safety for pregnant women through prescription drug monitoring is essential. The aim of this study was to describe the prescription pattern of medicines among pregnant immigrant women from countries with high migratory pressure (HMPCs) compared to pregnant Italian women. The prevalence of drug prescriptions among the two study populations was analysed through record linkage procedures applied to the administrative databases of eight Italian regions, from 2016 to 2018. The overall prevalence of drug prescription was calculated considering all women who received at least one prescription during the study period. Immigrants had a lower prevalence of drug prescriptions before (51.0% vs. 58.6%) and after pregnancy (55.1% vs. 60. 3%). Conversely, during pregnancy, they obtained a slightly higher number of prescriptions (74.9% vs. 72.8%). The most prescribed class of drugs was the blood and haematopoietic organs category (category ATC B) (56.4% vs. 45.9%, immigrants compared to Italians), followed by antimicrobials (31.3% vs. 33.7%). Most prescriptions were appropriate, while folic acid administration 3 months before conception was low for both study groups (3.9% immigrants and 6.2% Italians). Progesterone seemingly was prescribed against early pregnancy loss, more frequently among Italians (16.5% vs. 8.1% immigrants). Few inappropriate medications were prescribed among antihypertensives, statins and anti-inflammatory drugs in both study groups.

1. Introduction

In high-income countries, drug use during pregnancy is common; four out of five pregnant women receive at least one prescription [1]. Monitoring the use of each drug, including over-the-counter products and natural supplements, is strategic to determine their safety during pregnancy, especially during the first trimester, when the development of the embryo and foetus occurs. The impact of drug use on maternal and foetal health is a major concern, especially as pregnant women are excluded from clinical trials [2]. Considering pregnant women as a “vulnerable population protected by exclusion” [3] prevented research and the progression of care, even during the recent COVID-19 pandemic. Furthermore, the assessment of the prescription profile for subpopulations, such as migrants, provides useful information on their health status as compared to the host population, including their access to health services.
In 2020, approximately 5 million foreign citizens were registered in Italy, accounting for 8.4% of all residents; nearly half of these were women (51.7%), of whom more than 1.5 million were of child-bearing age [4]. Although migration has been recognized as contributing to the Sustainable Development Goals [5], migrants and refugees face barriers in accessing health services [6,7,8], and even in Europe they face obstacles to health care provision [9,10]. Immigrants from high migration pressure countries (HMPCs) often experience health care inequalities [11], including worse maternal and perinatal outcomes [9].
Although Italy offers universal access to health care including maternal care [12], differences in maternal and perinatal outcomes persist, according to women’s country of origin and/or citizenship [13,14]. Despite a decrease in the last 10 years, the average number of children (1.89) among foreign women remains higher compared to Italian mothers (1.17) [15], likely due to the younger age of migrant women and due to their different fertility model, which tends to anticipate the age at childbirth compared to Italian women. In 2020, mothers of foreign citizenship gave birth to 21% of Italian newborns [16].
In Italy, population-based studies on drug use during pregnancy are scanty, often linked to regional initiatives [17,18]. In 2018, the Italian Medicines Agency (AIFA) established the (Monitoring Medication Use During Pregnancy Network (MoM-Net), a national coordination group with the aim to monitor drug prescription patterns during pregnancy. MoM-Net activities included the analysis of: I) prescriptions in specific therapeutic areas; II) regional differences in prescriptions; III) prescriptions in particular subpopulations, such as foreign women and women with multiple pregnancies [19,20].
The primary aim of this paper is to describe the prescription pattern of medicines among pregnant immigrant women from HMPCs compared to Italian women; the secondary aim is to identify potentially inappropriate prescription areas among the two study populations.

2. Methods

Study Design: cross-sectional population-based study using the following regional administrative databases:
  • Birth Registry (Certificato di Assistenza al Parto, CeDAP), including socio-demographic and health information of women who gave births ≥22 weeks of gestation and their newborns;
  • Demographic database, including information on residents enrolled in the regional health system for administrative purposes;
  • Drug prescription database, including prescriptions dispensed by pharmacies and reimbursed by the NHS, and describing date of issue, number of packages, active ingredients and brand.
Unique anonymised patient identifiers were used to link the databases at regional level adopting a common data model, as described in detail by a previous publication (20).
Study setting and population: eight Italian regions, namely Lombardy, Veneto, Emilia-Romagna, Tuscany, Umbria, Lazio, Apulia and Sardinia participated in the study. Resident women aged 15 to 49 years, who gave birth to an alive or deceased infant from 1 April 2016 to 31 March 2018, were included in the study.
Resident women were identified by country of birth and citizenship and divided into two groups: Italians and immigrants from HMPCs (Central-Eastern Europe, Central and Southern America, North Africa, Sub-Saharan Africa and Asia (except for Israel and Japan)) [21]. For each woman, the date of onset of pregnancy was estimated according to the gestational age at time of delivery. The socio-demographic characteristics (e.g., age, nationality, education and occupational status), the clinical information related to pregnancy (e.g., gestational age and parity) and obstetric histories of the pregnant women (e.g., previous deliveries, previous caesarean sections, previous abortions retrieved from the Birth Registry database) were collected. Among multiparas, only the first birth was included in the analysis. Drug prescriptions were analysed adopting the anatomical therapeutic chemical (ATC) classification system [22] over a period of 27 months divided into three successive time windows: three trimesters before conception, three trimesters during pregnancy and three trimesters after birth.
Statistical analysis: the overall and specific prevalence of medicines by target populations, namely Italians and immigrant women from HMPCs, was estimated as the percentage of women with at least one prescription during the study period (before, during and after pregnancy). According to the different therapeutic categories, the prevalence of drug use was stratified by maternal socio-demographic characteristics, reproductive history, and pregnancy information [20]. The χ2 test was used to evaluate statistical difference for continuous data: prevalence of use and percentages. Tests were carried out at 2-sided p < 0.05 level of significance. All statistical analyses were performed using R or SAS software (version 9.4).

3. Results

A total of 447,096 women who delivered were included in the study cohort, namely 358,467 Italian citizens, 2470 women, born abroad and in Italy, with citizenship in highly developed countries (HDCs), and 86,159 with HMPC citizenship. The present results describe the drug prescriptions issued to Italian and HMPC women together comprising 97.2% of resident pregnant migrant women enrolled in the cohort. The small number of HDC women (n = 2470) and their similar socio-demographic and health profiles with the enrolled Italian women were the rationale for their exclusion from the present analyses.
Overall, the births recorded in the participating regions accounted for 58.5% of total births that occurred in Italy during the study period.
Table 1 shows the socio-demographic and obstetric characteristics of the two groups under consideration. Migrants from HMPCs were younger (aged < 35 years: 74.5% vs. 59.7%), less educated (≤8 years education: 43.4% vs. 19.4%) and more often multipara (66.8% vs. 45.5%) and unemployed (66.1% vs. 29.5%), compared to Italian women. Compared to Italian mothers, HMPC women rarely resorted to prenatal screening (5.8% vs. 13.3%) and assisted reproductive techniques (ART) (1.7% vs. 3.4%) and underwent fewer caesarean sections (27.7% vs. 31.0%).
Overall, women with HMPC citizenship received a lower number of prescriptions compared to Italians during the entire study period. Italian women registered higher prevalence of drug prescriptions before conception (58.6% vs. 51.0%) and after birth (60.3% vs. 55.1%), while HPMC women received the highest number of prescriptions during pregnancy (74.9% vs. 72.8%).
Figure 1 describes the distribution of drug prescriptions by trimester of analyses between the two populations. Overall, the highest prevalence of drug prescriptions occurred during pregnancy, with a peak in the first trimester (around 50%) and a sharp decline after the first postpartum trimester. Prevalence of drug use increased with increasing maternal age, reaching 60% in the women over 40 years of age (Supplementary Table S1).
HMPC citizens had different prescriptive profiles depending on their geographical area of origin. Figure 2 illustrates the high variability recorded by citizenship among the top 25 countries by number of residents. Women from Africa and India, followed by South America, had the largest number of prescriptions. Eastern European women were in an intermediate position and Chinese women reported the lowest level of drug prescriptions.
Overall, the most frequently prescribed class of drugs was the blood and haematopoietic organs category (ATC B), which includes folic acid, heparin and iron-based preparations. During pregnancy, HMPC women received the highest number of ATC B prescriptions compared to Italian women (56.4% vs. 45.4%) (Supplementary Figure S1), largely for iron preparations (30.5% vs. 16.0%). The class of antimicrobials (ATC J) followed in frequency with a prevalence of about 30% among both populations (Supplementary Figure S1). Compared to HMPC women, Italian women received a slightly higher prevalence of prescriptions, especially before conception (35.1% vs. 29.5%) (Figure 1). Antimicrobials were the most widely used drugs in the second trimester of pregnancy and in the first trimester post-partum (Supplementary Figure S2).
Table 2 shows the ranking of the 10 most prescribed substances during pregnancy between Italian and HMPC women. Folic acid was the most prescribed substance in both populations, followed in second position respectively by iron among HMPC women and progesterone among Italian women. In the rankings for HMPC women, amoxicillin plus clavulanic acid followed, which, together with amoxicillin and fosfomycin, described the principal classes of antimicrobials prescribed to this population. Levothyroxine, in fifth position among Italian prescriptions, ranked seventh among prescriptions to HMPC women. Low molecular weight heparin ranked tenth among Italian women and twelfth among HMPC women. Progesterone ranked second among Italian women and fourth among HMPC women.
HMPC women received a higher proportion of anti-inflammatory drug prescriptions across all study periods, compared to Italian women (6.5% vs. 5.5% in pre-pregnancy, 2.1% vs. 1.2% in pregnancy and 4.2% vs. 3.8% in post-partum). Overall, the use of psychotropic drugs decreased during pregnancy and was slightly lower among HMPC compared to Italian women (0.9% vs. 1.2% during pregnancy; 1.5% vs. 1.7% post-partum). Selective serotonin reuptake inhibitors (SSRIs) were the most commonly prescribed drugs among antidepressants during the three study periods.
During all study periods, HMPC women received a higher proportion of antidiabetic prescriptions than Italian women, with a maximum increase during pregnancy (4.4% vs. 2.2%).
Italian women received a higher proportion of heparin prescriptions than HMPC women during all study periods (2.1% vs. 1.4% before pregnancy, 5.7% vs. 2.8% during pregnancy and 23.5% vs. 19.2% postpartum). Prescriptions for low molecular weight heparin (LMWH) after CS were provided to 60% of Italian women and 54% of HMPC women, with similar age distribution.
The prescriptions of thyroid preparations in pregnancy doubled compared to their numbers during the pre-conception period, with higher percentages among Italian women compared to HMPC women, especially in the second trimester of pregnancy (4.9% vs. 2.1% pre-pregnancy and 8.3% vs. 5.4% during pregnancy).
During pregnancy, HMPC women received more prescriptions for antacid drugs than Italian women (7.8% vs. 5.3%) and had a slightly higher prevalence of antihypertensive prescriptions (2.08% vs. 1.93%).
As for inappropriate prescriptions, no alarming data were detected among the two study populations. Almost none of the antibiotic prescriptions during pregnancy showed inappropriateness in terms of teratogenic risk molecules. Among women affected by hypertensive disorders of pregnancy, a small proportion of ACE inhibitors and angiotensin II receptor blocker prescriptions were detected during pregnancy, and were slightly higher among HMPC women (2.08%) than Italian women (1.93%). The inappropriate prescription of progestogens during the first trimester of pregnancy was high, especially among Italian women (17.1%) compared to HMPC women (8.2%).

4. Discussion

This article focused on medical prescriptions among foreign pregnant women in eight regions of Italy. To our knowledge, this is the first study on the prevalence of drug prescriptions within such a large population of HMPC women in Italy; the previous studies were in fact limited to a single region [17,18]. The prescription pattern of medicines during pregnancy among HMPC women, compared to that of Italian women, showed some differences. HMPC women received more prescriptions for iron preparations, drugs to counteract acid secretion disorders, and anti-inflammatory, antihypertensive and antidiabetic drugs. Italian women received the greatest number of prescriptions for progesterone, antimicrobials, thyroid preparations, heparin and psychotropic drugs. Potentially inappropriate prescription areas were detected in a minority of cases.
The major strength of our study is the population size, covering 58.5% of births in Italy during the study period and the participation of regions from all geographical areas of the country, avoiding possible bias due to different prescribing patterns between the northern and southern regions. The study limitations include the exclusion of foreign non-resident women who were not registered in the available administrative databases. However, Italian law provides access to free assistance during pregnancy, childbirth and up to the age of six months of the newborn for all women, including foreigners without a residence permit. It seems, therefore, unlikely that this exclusion could be a potential source of bias. The lack of information about over-the-counter drugs and about therapeutic indications for the prescribed drugs did not allow an accurate assessment of their clinical appropriateness. Moreover, the same databases did not provide information about prescriptions in case of miscarriage or induced abortion, preventing the assessment of drugs’ possible teratogenic risk.
In previous studies, drug use in pregnancy ranged from 50% to 80% depending on the setting; when over-the-counter treatments were included, rates reached 100% [1,9,18,23,24]. In general, the overall rate and prescription patterns observed in this study were comparable to those observed in other European studies [25,26].
The detected prescriptive pattern for the HMPC pregnant women seemed to outline different health profiles and different opportunities to access care during pregnancy compared to Italian women. Our analysis showed that among HMPC women, the use of drugs was lower during pregnancy due to an increase in iron and folic acid prescriptions. This was probably due to the high prevalence of iron-deficiency anaemia among migrants, particularly critical for women from Africa and Southeast Asia, due to a diet poor in foods containing this mineral [27].
The low prescription of folic acid during the pre-conception period affected both populations. The Italian National Health Service offers this vitamin free of charge in order to promote neural tube defect prevention. Nevertheless, the consumption of folic acid in the pre-conception period was, overall, very low and lower than in pregnancy, especially among HMPC women (3.9% vs. 6.2% among Italian women). Previous Italian sample surveys carried out by interviewing women who gave birth [13] detected a 20% prevalence of appropriate use of folic acid during the peri-conceptional period. The lowest prevalence detected by the present analysis was likely attributable to the over-the-counter availability of folic acid, which is often purchased out-of-pocket, especially among Italian women. This result suggests the need to better inform Italian and foreign women of childbearing age about the advantage of taking this vitamin to prevent congenital defects.
Although studies have shown that administration of progesterone during the first trimester of pregnancy does not reduce the incidence of miscarriages, except for recurrent cases [28,29], our analysis showed that it is still prescribed to prevent this outcome [30]. Prescriptions are though to be more common among women who have had recurrent abortions in line with evidence-based recommendations. In addition, the more frequent use of progesterone among Italian women is probably associated with the greater number of assisted human reproduction procedures that these women underwent.
About one in three women received an antibiotic in both populations, with a slightly higher prevalence among Italians, likely due to their most frequent prescription as prophylaxis in case of invasive prenatal diagnosis or caesarean section, which are less common among HMPC women. However, it should be pointed out that a significant share of antimicrobials are purchased privately in Italy. Therefore, the differences observed between the Italian and HMPC women could be wider because the latter, due to their lower income status, rely more on the prescriptions charged to the NHS. The detected 30% prescription rate was consistent with the use of antimicrobials in Europe, ranging from 27% to 42% [31]. Since most of these prescriptions reached the first trimester of pregnancy, it seems possible that they were “prescriptive queues” of previous therapies that had been stopped following the diagnosis of pregnancy. Overall, the antibiotics prescribed in pregnancy were appropriate, although it is necessary to sensitize health professionals to the urgency of limiting prescriptions during pregnancy and to carefully choose the molecules to be used to limit serious consequences related to the growing phenomenon of antibiotic resistance.
Although previous studies have associated belonging to minority ethnic groups, lower socio-economic status and lack of language skills with a higher risk of perinatal mental disorders [32], the present analysis found slightly lower prescriptions of psychotropic drugs among HMPC women compared to Italian women. The difficulties in accessing health services likely play a role in this difference, which could be primarily attributable to unmet needs of the HMPC women [33,34]. The wide variability in prescription drug profiles by women’s geographic origin suggests different challenges in accessing obstetric care.
Overall, the areas of inappropriate treatment during pregnancy did not show significant differences according to the women’s countries of birth. Nevertheless, the few detected prescriptions related to drugs with a critical safety profile in pregnancy—including statins, ACE inhibitors, angiotensin II receptor antagonists, and anti-inflammatories—were slightly higher among foreign women than Italians. However, almost all of these prescriptions concerned the first trimester of pregnancy, and it is, therefore, reasonable to imagine that they were “prescriptive queues” of previous therapies that had been changed following the diagnosis of pregnancy. The antihypertensive drugs that can be used safely in the first trimester of pregnancy include methyldopa, labetalol and nifedipine. ACE inhibitors and angiotensin II receptor antagonists [35,36], on the other hand, should be suspended when planning or establishing a pregnancy due to association with a higher incidence of cardiovascular and central nervous system congenital malformations [37]. During pregnancy, and in particular in the third trimester, the consumption of anti-inflammatory drugs is considerably reduced among all women, due to a greater risk of adverse events at birth. Anti-inflammatory prescriptions decline in pregnancy due to their critical safety profile but are still prescribed to 2% of HMPC women.
Among the challenges for measuring Europe’s reception capacity and its commitment to integration and social development is that of guaranteeing full equity of access to care services for all women and their children, without differences based on origin or social status, and with equal dignity and security. Pregnancy and childbirth represent a period of vulnerability for migrant women experiencing communication and language barriers that may create disadvantages in establishing relationships with their health care providers [9,38,39,40,41]. Migrant women have worse maternal and perinatal outcomes compared to Italian women for reasons attributable to lower income levels, problems in accessing and using some care opportunities and greater precariousness of the family support network [9,34,42]. The “healthy migrant effect” self-selects at the origin the people in good health that face the migration path; however, once in the host countries, the health of migrants tends to worsen due to precarious living conditions, social exclusion and fragility, and the acquisition of unhealthy lifestyles (e.g., eating habits, sedentary lifestyle) [43].
This analysis, as part of a larger study conducted by the MoM-Net group, described the prescribing pattern of medications during pregnancy in sub-groups of the population by identifying potentially inadequate prescriptions. Characterizing the health profile of foreign pregnant women, including monitoring of drug prescriptions, is strategic not only to improve maternal and perinatal care and outcomes but also to support policies for the provision of social and health services in Italy, where the migratory phenomenon represents a structural element of society, with over 5 million resident foreign citizens.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijerph19074186/s1, Figure S1: “Prevalence of drug use (%) by ATC class during pregnancy”; Figure S2: “Prevalence of antibiotic prescription by trimester before, during and after pregnancy”; Table S1: “Women with at least one prescription of medication by age group and trimester before, during and after pregnancy”.

Author Contributions

Conceptualization, P.D., R.D.C., V.B. and F.F.; Data curation, F.R.P. and S.P.; Formal analysis, F.R.P. and S.P.; Methodology, V.B. and F.F.; Supervision, F.T. and S.D.; Writing—original draft, P.D. and R.D.C.; Writing—review and editing, F.T. and S.D. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This was a retrospective, cohort, multi-database study. Fully anonymized data were extracted from the claims databases of eight Italian regions, and there was no requirement for ethical approval and informed consent to participate in this study according to national legislation and institutional requirements.

Informed Consent Statement

This is a retrospective, cohort study, fully anonymized data were extracted from eight italian regions. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.

Data Availability Statement

The data that support the findings of this study are available from the Italian AIFA Medicine Agency and are available from the authors upon reasonable request and with permission of the AIFA and the participating Regions; Requests to access the datasets should be directed to v.belleudi@deplazio.it.

Acknowledgments

MoM-Net Group: Francesco Trotta, Filomena Fortinguerra, Serena Perna (Italian Medicines Agency, Rome); Valeria Belleudi, Francesca Romana Poggi, Antonio Addis, Marina Davoli, (Department of Epidemiology, Lazio Regional Health Service, ASL Roma 1, Rome); Serena Donati, Paola D’Aloja (Women Health Unit, National Centre for Disease Prevention and Health Promotion, Istituto Superiore di Sanità, Rome); Roberto Da Cas (Pharmacoepidemiology Unit, National Centre for Drug Research and Evaluation, Istituto Superiore di Sanità, Rome); Renata Bortolus, Giovanni Rezza (Directorate General for Preventive Health—Office 9, Ministry of Health, Rome); Antonio Clavenna (Laboratory for Mother and Child Health, Department of Public Health—Istituto di Ricerche Farmacologiche Mario Negri IRCSS, Milan); Anna Locatelli (Obstetrics and Gynecology Unit, School of Medicine and Surgery, University of Milano Bicocca, Milan); Arianna Mazzone, Simone Schiatti, Martina Zanforlini, Ida Fortino (Lombardy Region); Silvia Manea, Laura Salmaso, Giovanna Scroccaro, Paola Deambrosis (Veneto Region); Aurora Puccini, Valentina Solfrini, Anna Maria Marata (Emilia-Romagna Region); Rosa Gini, Francesco Attanasio (Tuscany Region); Marcello De Giorgi, David Franchini, Mariangela Rossi (Umbria Region); Lorella Lombardozzi (Lazio Region); Paolo Stella, Vito Bavaro, Vito Montanaro (Apulia Region); Stefano Ledda, Paolo Carta, Enrico Serra, Donatella Garau (Sardinia Region).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Daw, J.R.; Hanley, G.E.; Greyson, D.L.; Morgan, S. Prescription drug use during pregnancy in developed countries: A systematic review. Pharmacoepidemiol. Drug Saf. 2011, 20, 895–902. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Stock, S.J.; Norman, J.E. Medicines in pregnancy. F1000Res 2019, 8, F1000 Rev-911. [Google Scholar] [CrossRef] [PubMed]
  3. Scaffidi, J.; Mol, B.W.; Keelan, J.A. The pregnant women as a drug orphan: A global survey of registered clinical trials of pharmacological interventions in pregnancy. BJOG 2017, 124, 132–140. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Istat. Popolazione e Società. Available online: https://noi-italia.istat.it/pagina.php?id=3&categoria=4&action=show&L=0#:~:text=sguardo%20d’insieme-,Al%201%C2%B0%20gennaio%202020%20risiedono%20in%20Italia%20circa%205,4%25%20del%20totale%20dei%20residenti (accessed on 1 February 2022).
  5. United Nations. Sustainable Development Goals. Leave No One Behind. Available online: https://unsdg.un.org/2030-agenda/universal-values/leave-no-one-behind (accessed on 1 February 2022).
  6. Sarría-Santamera, A.; Hijas-Gómez, A.I.; Carmona, R.; Gimeno-Feliú, L.A. A systematic review of the use of health services by immigrants and native populations. Public Health Rev. 2016, 37, 1–29. [Google Scholar] [CrossRef] [Green Version]
  7. International Organization for Migration. World Migration Report 2018; International Organization for Migration Publications: Geneva, Switzerland, 2017; Available online: https://publications.iom.int/fr/system/files/pdf/wmr_2018_en_chapter7.pdf (accessed on 1 February 2022).
  8. World Health Organization. Report on the Health of Refugees and Migrants in the WHO European Region: No Public Health without Refugee and Migrant Health; World Health Organization: Copenhagen, Denmark, 2018; Available online: https://apps.who.int/iris/bitstream/handle/10665/311347/9789289053846-eng.pdf (accessed on 1 February 2022).
  9. Fair, F.; Raben, L.; Watson, H.; Vivilaki, V.; van den Muijsenbergh, M.; Soltani, H.; ORAMMA Team. Migrant women’s experiences of pregnancy, childbirth and maternity care in European countries: A systematic review. PLoS ONE 2020, 15, e0228378. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Lebano, A.; Hamed, S.; Bradby, H.; Gil-Salmerón, A.; Durá-Ferrandis, E.; Garcés-Ferrer, J.; Azzedine, F.; Riza, E.; Karnaki, P.; Zota, D.; et al. Migrants’ and refugees’ health status and healthcare in Europe: A scoping literature review. BMC Public Health 2020, 20, 1–22. [Google Scholar] [CrossRef]
  11. Rechel, B.; Mladovsky, P.; Ingleby, D.; Mackenbach, J.P.; McKee, M. Migration and health in an increasingly diverse Europe. Lancet 2013, 381, 1235–1245. [Google Scholar] [CrossRef]
  12. Mammana, L.; Milani, C.; Bordin, P.; Del Riccio, M.; Sisti, L.G.; Salvia, C.; Raguzzoni, G. Migrants and access to healthcare: The Italian public health residents action plan. Eur. J. Public Health 2019, 29 (Suppl. S4), 302. [Google Scholar] [CrossRef]
  13. Lariccia, F.; Mussino, E.; Pinnelli, A.; Prati, S. Antenatal care in Italy: Differences between Italian and Foreign Women. Genus 2013, 69, 35–51. [Google Scholar]
  14. Lauria, L.; Bonciani, M.; Spinelli, A.; Grandolfo, M.E. Inequalities in maternal care in Italy: The role of socioeconomic and migrant status. Ann. Ist. Super. Sanita 2013, 49, 209–218. [Google Scholar] [PubMed]
  15. Istat. Natalità e Fecondità della Popolazione Residente. Anno 2020. Available online: https://www.istat.it/it/files//2021/12/REPORT-NATALITA-2020.pdf (accessed on 1 February 2022).
  16. Ministero della Salute. Certificato di Assistenza al Parto (CeDAP). Analisi dell’Evento Nascita-Anno 2020. Available online: https://www.salute.gov.it/imgs/C_17_pubblicazioni_3149_allegato.pdf (accessed on 1 February 2022).
  17. Gagne, J.J.; Maio, V.; Berghella, V.; Louis, D.Z.; Gonnella, J.S. Prescription Drug Use during Pregnancy: A Population-Based Study in Regione Emilia-Romagna, Italy. Eur. J. Clin. Pharmacol. 2008, 64, 1125–1132. [Google Scholar] [CrossRef]
  18. Ventura, M.; Maraschini, A.; D’Aloja, P.; Kirchmayer, U.; Lega, I.; Davoli, M.; Donati, S. Drug Prescribing during Pregnancy in a central Region of Italy, 2008–2012. BMC Public Health 2018, 18, 623. [Google Scholar] [CrossRef] [Green Version]
  19. The Medicines Utilisation Monitoring Centre. National Report on Medicines Use in Pregnancy. Rome: Italian Medicines Agency, 2020. Available online: https://www.researchgate.net/publication/349537250_The_Medicines_Utilisation_Monitoring_Centre_Report_on_Medicines_use_during_COVID-19_epidemic_Year_2020_Rome_Italian_Medicines_Agency_2020 (accessed on 1 February 2022).
  20. Belleudi, V.; Fortinguerra, F.; Poggi, F.R.; Perna, S.; Bortolus, R.; Donati, S.; Clavenna, A.; Locatelli, A.; Davoli, M.; Addis, A.; et al. The Italian Network for Monitoring Medication Use During Pregnancy (MoM-Net): Experience and Perspectives. Front. Pharmacol. 2021, 12, 699062. [Google Scholar]
  21. The IN-LiMeS Group; Pacelli, B.; Zengarini, N.; Broccoli, S.; Caranci, N.; Spadea, T.; di Girolamo, C.; Cacciani, L.; Petrelli, A.; Ballotari, P.; et al. Differences in mortality by immigrant status in Italy. Results of the Italian Network of Longitudinal Metropolitan Studies. Eur. J. Epidemiol. 2016, 31, 691–701. [Google Scholar] [CrossRef] [PubMed]
  22. WHO Collaborating Centre for Drug Statistics Methodology. Guidelines for ATC Classification and DDD Assignment 2021; Norwegian Institute of Public Health: Oslo, Norway, 2020. [Google Scholar]
  23. Irvine, L.; Flynn, R.W.; Libby, G.; Crombie, I.K.; Evans, J.M.M. Drugs dispensed in primary care during pregnancy: A record-linkage analysis in Tayside, Scotland. Drug Saf. 2010, 33, 593–604. [Google Scholar] [CrossRef]
  24. Engeland, A.; Bjørge, T.; Klungsøyr, K.; Hjellvik, V.; Skurtveit, S.; Furu, K. Trends in prescription drug use during pregnancy and postpartum in Norway, 2005 to 2015. Pharmacoepidemiol. Drug Saf. 2018, 27, 995–1004. [Google Scholar] [CrossRef]
  25. Lupattelli, A.; Spigset, O.; Twigg, M.J.; Zagorodnikova, K.; Mårdby, A.C.; Moretti, M.E.; Drozd, M.; Panchaud, A.; Hämeen-Anttila, K.; Rieutord, A.; et al. Medication use in pregnancy: A cross-sectional, multinational web-based study. BMJ Open 2014, 4, e004365. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Bakker, M.K.; Jentink, J.; Vroom, F.; Van Den Berg, P.B.; De Walle, H.E.; De Jong-Van Den Berg, L.T. Drug prescription patterns before, during and after pregnancy for chronic, occasional and pregnancy-related drugs in the Netherlands. BJOG 2006, 113, 559–568. [Google Scholar] [CrossRef] [Green Version]
  27. Maraschini, A.; D’Aloja, P.; Lega, I.; Buoncristiano, M.; Kirchmayer, U.; Ventura, M.; Donati, S. Do Italian pregnant women use periconceptional folate supplementation? Ann. Ist. Super. Sanita 2017, 53, 118–124. [Google Scholar]
  28. Haas, D.M.; Hathaway, T.J.; Ramsey, P.S. Progestogen for preventing miscarriage in women with recurrent miscarriage of unclear etiology. Cochrane Database Syst. Rev. 2019, 11, 1–50. [Google Scholar] [CrossRef] [PubMed]
  29. Donati, S.; Baglio, G.; Spinelli, A.; Grandolfo, M.E. Drug use in pregnancy among Italian women. Eur. J. Clin. Pharmacol. 2000, 56, 323–328. [Google Scholar] [CrossRef] [PubMed]
  30. Maraschini, A.; Ventura, M.; Senatore, S.; Andreozzi, S.; Kirchmayer, U.; Davoli, M.; Donati, S. Consumo di Farmaci in Gravidanza e Appropriatezza Prescrittiva nella Regione Lazio; Rapporti ISTISAN; Istituto Superiore di Sanità: Rome, Italy, 2016; Volume 16, p. 29. [Google Scholar]
  31. Petersen, I.; Gilbert, R.; Evans, R.; Ridolfi, A.; Nazareth, I. Oral antibiotic prescribing during pregnancy in primary care. UK population-based study. J. Antimicrob. Chemoter. 2010, 65, 2238–2246. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Anderson, F.M.; Hatch, S.L.; Comacchio, C.; Howard, L.M. Prevalence and risk of mental disorders in the perinatal period among migrant women: A systematic review and meta-analysis. Arch. Womens Ment. Health 2017, 20, 449–462. [Google Scholar] [CrossRef] [Green Version]
  33. Istat. Cittadini Stranieri: Condizioni di Salute, Fattori di Rischio, Ricorso alle Cure e Accessibilità dei Servizi Sanitari. Available online: https://www.istat.it/it/files//2014/01/salute-stranieri_2011–2012-FINALE.pdf (accessed on 1 February 2022).
  34. Lauria, L.; Andreozzi, S. Percorso Nascita e Immigrazione in Italia: Le Indagini del 2009; Rapporti ISTISAN; Istituto Superiore di Sanità: Rome, Italy, 2011; 157p. [Google Scholar]
  35. Abalos, E.; Duley, L.; Steyn, D.; Gialdini, C. Antihypertensive drug therapy for mild to moderate hypertension during pregnancy. Cochrane Database Syst. Rev. 2018, 10, CD002252. [Google Scholar] [CrossRef] [PubMed]
  36. National Institute for Health and Care Excellence. Hypertension in Pregnancy: Diagnosis and Management. London. 2019. Available online: https://www.nice.org.uk/guidance/ng133 (accessed on 1 February 2022).
  37. Fu, J.; Tomlinson, G.; Feig, D.S. Increased risk of major congenital malformations in early pregnancy use of angiotensin-converting-enzyme inhibitors and angiotensin-receptor-blockers: A meta-analysis. Diabetes Metab. Res. Rev. 2021, 37, e3453. [Google Scholar] [CrossRef] [PubMed]
  38. Bunevicius, R.; Kusminskas, L.; Bunevicius, A.; Nadisauskiene, R.; Jureniene, K.; Pop, V. Psychosocial risk factors for depression during pregnancy. Acta Obstet. Gynecol. 2009, 88, 599–605. [Google Scholar] [CrossRef] [PubMed]
  39. Ratcliff, B.G.; Sharapova, A.; Suardi, F.; Borel, F. Factors associated with antenatal depression and obstetric complications in immigrant women in Geneva. Midwifery 2015, 31, 871–878. [Google Scholar] [CrossRef] [PubMed]
  40. Schetter, C.D. Psychological science on pregnancy: Stress processes, biopsychosocial models, and emerging research issue. Annu. Rev. Psychol. 2011, 62, 531–558. [Google Scholar] [CrossRef] [PubMed]
  41. Norredam, M. Migrants’ access to healthcare. Dan. Med. Bull. 2011, 58, B4339. [Google Scholar] [PubMed]
  42. Bollini, P.; Pampallona, S.; Wanner, P.; Kupelnick, B. Pregnancy outcome of migrant women and integration policy: A systematic review of the international literature. Soc. Sci. Med. 2009, 68, 452–461. [Google Scholar] [CrossRef] [PubMed]
  43. Domnich, A.; Panatto, D.; Gasparini, R.; Amicizia, D. The “healthy immigrant” effect: Does it exist in Europe today? Ital. J. Public Health 2012, 9, 1–7. [Google Scholar]
Figure 1. Prevalence of drug use (%) by trimester before, during and after pregnancy.
Figure 1. Prevalence of drug use (%) by trimester before, during and after pregnancy.
Ijerph 19 04186 g001
Figure 2. Distribution of drug prescriptions (%) before, during and after pregnancy, by citizenship (top 25 countries by number of residents).
Figure 2. Distribution of drug prescriptions (%) before, during and after pregnancy, by citizenship (top 25 countries by number of residents).
Ijerph 19 04186 g002
Table 1. Socio-demographic characteristics and obstetric history of Italian and HMPC women.
Table 1. Socio-demographic characteristics and obstetric history of Italian and HMPC women.
Characteristics
ItaliansHMPCs
N = 358,467N = 86,159
n%n%
Age group
≤2421,9116.111,51213.4
25–2966,11718.425,52429.6
30–34126,02835.227,15431.5
35–39105,97729.617,23020.0
≥4038,43410.747395.5
≥4531008.12886.1
Level of education
None/elementary school/
Middle school
68,06319.436,75743.4
High school 160,28545.834,55140.8
Bachelor degree /post degree121,49334.713,11515.5
Missing4790.11930.2
Occupational status
Employed252,76570.529,18333.9
Unemployed/
Looking for first job
42,09811.711,99313.9
Housewife54,73115.342,99949.9
Other58981.612331.4
Missing29750.87510.9
Previous delivery
no190,75954.528,09633.2
yes159,56145.556,52066.8
Caesarean section44,42927.814,29125.3
Previous abortions
0290,13880.966,84477.6
151,31714.314,13316.4
2+17,0124.751826.0
Gestational age
Preterm delivery (<37 weeks)23,9766.764977.5
Term delivery (37–41 weeks)332,26792.779,04391.7
Post-term delivery (>41 weeks)22240.66190.7
Parity
1351,68798.184,77298.4
2+67801.913871.6
Invasive antenatal diagnosis
No309,99586.580,83393.8
Chorionic villus sampling18,6505.216261.9
Amniocentesis28,0917.830643.6
Other11370.32890.3
Medically assisted procreation
no/n.c.281,90396.675,02698.3
yes97873.413151.7
Caesarean section
no247,30969.062,27172.3
yes111,15831.023,88827.7
Table 2. Ranking of the most 10 prescribed substances during pregnancy by citizenship.
Table 2. Ranking of the most 10 prescribed substances during pregnancy by citizenship.
RankSubstancesItalians N = 358,467HMPC N = 86,159
nPrevalence of Use (%)RanknPrevalence of Use (%)Rankp Value *
1Folic acid119,03533.2134,90640.51<0.05
2Progesterone74,45220.82991911.54<0.05
3Ferrous sulfate57,19016.0326,25330.52<0.05
4Amoxicillin/clavulanic acid40,76011.4410,25611.93<0.05
5Levothyroxine29,5358.2546045.37<0.05
6Fosfomycin28,2147.9763587.46<0.05
7Azithromycin25,6267.1637504.48<0.05
8Amoxicillin22,8996.4863767.45<0.05
9Beclometasone17,7685.0928063.39<0.05
10Enoxaparin15,9904.51019822.312<0.05
* p value from χ2 test.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

D’Aloja, P.; Da Cas, R.; Belleudi, V.; Fortinguerra, F.; Poggi, F.R.; Perna, S.; Trotta, F.; Donati, S.; MoM-Net Group. Drug Prescriptions among Italian and Immigrant Pregnant Women Resident in Italy: A Cross-Sectional Population-Based Study. Int. J. Environ. Res. Public Health 2022, 19, 4186. https://doi.org/10.3390/ijerph19074186

AMA Style

D’Aloja P, Da Cas R, Belleudi V, Fortinguerra F, Poggi FR, Perna S, Trotta F, Donati S, MoM-Net Group. Drug Prescriptions among Italian and Immigrant Pregnant Women Resident in Italy: A Cross-Sectional Population-Based Study. International Journal of Environmental Research and Public Health. 2022; 19(7):4186. https://doi.org/10.3390/ijerph19074186

Chicago/Turabian Style

D’Aloja, Paola, Roberto Da Cas, Valeria Belleudi, Filomena Fortinguerra, Francesca Romana Poggi, Serena Perna, Francesco Trotta, Serena Donati, and MoM-Net Group. 2022. "Drug Prescriptions among Italian and Immigrant Pregnant Women Resident in Italy: A Cross-Sectional Population-Based Study" International Journal of Environmental Research and Public Health 19, no. 7: 4186. https://doi.org/10.3390/ijerph19074186

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop