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Vol.:(0123456789) 1 3 Archives of Women's Mental Health (2024) 27:393–403 https://doi.org/10.1007/s00737-023-01403-3 ORIGINAL ARTICLE Changes towomen’s childbirth plans duringtheCOVID‑19 pandemic andposttraumatic stress symptoms: across‑national study AnaMesquita1,2 · RaquelCosta3,4,5· PelinDikmen‑Yildiz6· SusanaFaria7· GabrielaSilvestrini1· VeraMateus8· EleniVousoura9· ClaireA.Wilson10· EthelFelice11· ErildaAjaz12· EleniHadjigeorgiou13· CamelliaHancheva14· YolandaContreras‑García15· SaraDomínguez‑Salas16· EmmaMotrico17· IsabelSoares1· SusanAyers17,18 Received: 29 March 2023 / Accepted: 16 November 2023 / Published online: 16 December 2023 © The Author(s) 2023 Abstract A considerable number of women giving birth during COVID-19 pandemic reported being concerned about changes to their childbirth plans and experiences due to imposed restrictions. Research prior to the pandemic suggests that women may be more at risk of post-traumatic stress symptoms (PTSS) due to unmet expectations of their childbirth plans. Therefore, this study aimed to examine if the mismatch between women’s planned birth and actual birth experiences during COVID-19 was associated with women’s postpartum PTSS. Women in the postpartum period (up to 6months after birth) across 11 countries reported on childbirth experiences, mental health, COVID-19-related factors, and PTSS (PTSD checklist DSM-5 version) using self-report questionnaires (ClinicalTrials.gov: NCT04595123). More than half (64%) of the 3532 postpartum women included in the analysis reported changes to their childbirth plans. All changes were significantly associated with PTSS scores. Participants with one and two changes to their childbirth plans had a 12% and 38% increase, respectively, in PTSS scores compared to those with no changes (Exp(β) = 1.12; 95% CI [1.06–1.19]; p < 0.001 and Exp(β) = 1.38; 95% CI [1.29–1.48]; p < 0.001). In addition, the effect of having one change in the childbirth plan on PTSS scores was stronger in primigravida than in multigravida (Exp(β) = 0.86; 95% CI [0.77–0.97]; p = 0.014). Changes to women’s childbirth plans during the COVID-19 pandemic were common and associated with women’s postpartum PTSS score. Developing health policies that protect women from the negative consequences of unexpected or unintended birth experiences is important for perinatal mental health. Keywords Birth· Childbirth plan· Postpartum· Posttraumatic stress disorder· Mental health Introduction Giving birth is usually associated with joy and happiness but can be a challenging and sometimes even traumatic experience for a significant number of women (Leinweber etal. 2022). The coronavirus disease 2019 (COVID-19) pandemic compromised this unique event even further by bringing about unprecedented changes in daily lives and creating major disruption in healthcare services (Kotlar etal. 2021). The highly contagious and potentially fatal nature of COVID-19 required sudden and unexpected changes in daily habits, including mandatory use of face masks, lockdowns, travel, and transport restrictions that caused heightened levels of uncertainty, stress, and fear (Salari etal. 2020). Reduction in the quality of maternal and newborn care (MNC) around the time of childbirth due to the COVID-19 pandemic was reported by a considerable number of women giving birth even in healthcare facilities in high-income countries (Lazzerini etal. 2022). Unsurprisingly, health care professionals, health care services users and their carers, friends, and families were more affected by the psychological distress associated with the pandemic when more restrictive COVID-19 mitigation measures (e.g., use of personal protective equipment, frequent COVID-19 testing, visitor restrictions) were implemented and the risk for transmission was greatest (Thomas and Suresh 2022). In order to prevent or control the spread of COVID-19, healthcare facilities introduced specific policies and restrictions to services, including in MNC services. A considerable Ana Mesquita and Raquel Costa contributed equally to this manuscript. Extended author information available on the last page of the article
394 A.Mesquita et al. 1 3 number of women giving birth during the COVID-19 pandemic were concerned about or reported changes to their childbirth plans or birth settings specifically due to the pandemic (Aydin etal. 2022; Gildner and Thayer 2020). Those changes included having limited or no access to birth facilities (e.g., birthing ball or water birth (Hui etal. 2020; Vazquez-Vazquez etal. 2021)) or pain relief (Hui etal. 2020; Liu etal. 2021), shortened period from admission to giving birth until discharge (Gildner and Thayer 2020; Vazquez- Vazquez etal. 2021), not being able to have their initially planned mode of birth (Liu etal. 2021), and increased demand for community birth or giving birth at a different hospital than initially planned (Gildner and Thayer 2020; Grünebaum etal. 2022; Vazquez-Vazquez etal. 2021). Other examples of changes reported by women were directly related to pandemic-specific measures, e.g., restricted presence of a birth partner or companion during labor and birth, suspension or exclusion of visitors after birth (Aydin etal. 2022; Gildner and Thayer 2020; Lazzerini etal. 2022), mandatory face mask wearing during labor and delivery (Shuman etal. 2022), having COVID-19 testing before their scheduled admission time (Shuman etal. 2022), and limited availability or unavailability and/or limited support from health care providers (HCPs) (Horsch etal. 2020; Lazzerini etal. 2022; Liu etal. 2021). During pregnancy, women develop plans and expectations related to the mode of birth, childbirth setting, pain intensity and relief, and support from significant others or HCPs (Staneva 2013). Women’s expectations of childbirth are strongly associated with childbirth experiences (Soet etal. 2003; Verreault etal. 2012). How and whether childbirth expectations match with the actual childbirth experience may play a role on how women experience childbirth (Pirdil and Pirdel 2016). Research has shown that unfulfilled women’s expectations in non-pandemic scenarios are associated with lower childbirth satisfaction and increased PTSS; however, the association with depression and fear of birth is inconsistent (Webb etal. 2021). The authors emphasized the need for further research to understand how women’s childbirth plans are met, and its importance for childbirth experiences and psychological outcomes (Webb etal. 2021). Research on this topic is of particular relevance during the COVID-19 pandemic, which, due to the unpredictable nature of childbirth and uncertainty around childbirth events, may have led to increased levels of birth trauma and PTSS. A study conducted in the USA with women who gave birth during the COVID-19 pandemic reported that 72.3% were partially symptomatic (endorsing at least one of the diagnostic criteria A–E) and 5.9% of the women fulfilled the diagnostic criteria for childbirth-related posttraumatic stress disorder (PTSD) (Diamond and Colaianni 2022). A recent systematic review of 154 studies reported rates of childbirth-related PTSD of 4.7% and PTSS of 12.3% (Heyne etal. 2022), whereas specifically during the COVID-19 pandemic, the reported rates of clinically significant postpartum PTSS ranged between 12.5 and 29.4% (Liu etal. 2021; Ostacoli etal. 2020). This is unsurprising, as several COVID-19-related factors have been associated with PTSD symptoms, including mother–baby separation before hospital discharge, restrictions on significant others’ support, mandatory face mask use during labor and childbirth, and changes to birth setting and breastfeeding plans (Diamond and Colaianni 2022; Liu etal. 2021). Notably, the risk for PTSS/PTSD and its consequences might be substantially increased in high-risk women, e.g., women with suspected/ confirmed COVID-19 (Mayopoulos etal. 2020). This is a concern because of the potential negative impact of postpartum PTSD on adaptation to motherhood, couple relationship, and mother–infant bonding (McKenzie-McHarg etal. 2015). In the context of the COVID-19 pandemic, it is possible to speculate that the gap between women’s childbirth plans and their actual childbirth experiences was widened due to the MNC services restrictions, and to the numerous and rapidly changing healthcare policies and uneven implementation of those policies (Lalor etal. 2021). Therefore, this study aims to examine if changes to women’s childbirth plans—conceptualized as changes to expected care and experiences—during the COVID-19 pandemic were associated with women’s postpartum PTSS. Specific objectives were to analyze (1) the cumulative effect of changes in childbirth plans on PTSS and (2) the potential moderators of the effect of changes in childbirth plans on PTSS. Methods Study design This cross-sectional study was part of an international prospective observational cohort study in which pregnant and postpartum women from 14 countries (Albania, Argentina, Brazil, Bulgaria, Chile, Cyprus, France, Greece, Israel, Malta, Portugal, Spain, Turkey, and the UK) were invited to complete an online survey about their perinatal experiences and feelings during the COVID-19 pandemic. The project was disseminated through social media, organizational networks (universities, health centers, NGOs working with perinatal mental health), policymakers, stakeholders, and networks of colleagues and acquaintances of the research team. Participants Women with a child up to 6months old, aged 18years old or older, living in one of the 11 of the 14 countries of the consortium were eligible for this analysis (Argentina, France,
395 Changes towomen’s childbirth plans duringtheCOVID‑19 pandemic andposttraumatic stress… 1 3 and Israel were not included due to lack of data in the variables of interest). Between June 7 and October 31 of 2020, a total of 5895 women in the postpartum period completed the questionnaire, gave their informed consent, and were considered eligible for participating in the study. From those, 1772 failed to complete the PTSD checklist DSM-5 version or the questions regarding changes in childbirth experiences due to the COVID-19 pandemic, and 591 didnot report the date of childbirth or reported a date before March 2020, and therefore were not included in the analysis, yielding a final sample of 3532 women. Measures Sociodemographic andclinical characteristics The online survey included an adapted version (Motrico etal. 2021) of the Coronavirus Perinatal Experiences – Impact Survey (COPE-IS) (Thomason etal. 2020). As a newly developed measure, psychometric properties of COPE-IS are yet to be established. The COPE questionnaires were originally available in English and translated to Spanish and German. Researchers from each country included in the study performed the translation and cultural adaptation of the questionnaires from English into the official language of their country, following several methodological steps, defined a priori, and detailed in Motrico etal. (2020). The demographic information included age, country of birth, educational level (secondary education or lower/higher education), professional status (employed/unemployed), and first pregnancy (yes/no). Health-related data included exposure to COVID-19-related problems (yes/no), history of mood and/or anxiety disorders (yes/no), and current treatment for mental health problems (yes/no). Changes towomen’s childbirth plans In order to measure the changes to childbirth plans—here conceptualized as changes to women’s expected care and experiences—information of the COPE-IS was extracted from the question “Did any of your childbirth plans change as a result of the COVID-19 outbreak?”, in which women could select multiple items: (1) reduced access to preferred medications before or after delivery (i.e., nitrous oxide, epidural); (2) change to planned delivery location; (3) my elective induction or C-section was not allowed as planned; (4) my elective vaginal birth changed to induction or C-section; (5) my HCP (e.g., doctor, doula, midwife) was not available for my baby’s birth as planned; (6) support people (e.g., partner, family) were not allowed to attend baby’s delivery; (7) I was separated from the baby immediately after delivery; (8) I was separated from the baby for a long period after delivery (e.g., my baby was quarantined in the hospital nursery; not skin to skin contact); (9) No changes. Posttraumatic stress symptoms The survey included a subset of 10 questions from the PTSD checklist DSM-5 version (PCL-5), adapted to the COVID-19 pandemic. The original PCL-5 has 20 items and refers to PTSD symptoms in the last 7days using a Likert rating scale (0 = Not at all to 4 = Extremely) (Bovin etal. 2016). In this study, we used the following 10 items: (1) Feeling super alert or watchful or on guard; (2) Feeling jumpy or easily startled; (3) Having difficulty concentrating; (4) Trouble experiencing positive feelings; (5) Feeling guilty or blaming yourself; (6) Feeling irritable, angry, or aggressive; (7) Repeated disturbing and unwanted thoughts about the COVID-19 outbreak; (8) Repeated disturbing dreams about the COVID-19 outbreak; (9) Trying to avoid information or reminders about the COVID-19 outbreak; (10) Taking too many risks or doing things that could cause you harm. This subset was used to avoid redundancy with other items in the survey and represents each DSM-5 criterion for PTSD covered in the original PCL-5 (Kinser etal. 2021). Answers were reported in a 5-point Likert scale (0 = Not at all to 4 = Extremely). The PTSS score is a sum of the 10 items with total scores ranging from 0 to 40, as a onefactor solution is adequate (Motrico etal. 2023). Higher scores indicate greater symptom severity. Reliability in this sample was good (Cronbach’s alpha = 0.883, 95% CI = [0.877–0.889]). Statistical analysis Survey data were manually checked for accuracy and consistency. Descriptive analysis was performed for the dataset as a whole and by country, including socio-demographics, mental health–related information, and PTSS score. Continuous variables were expressed as medians and interquartile range (IQR), and categorical variables as their absolute frequency and percentage. To examine the association between changes to childbirth plans and experiences and the PTSS score, Tweedie Compound Poisson Generalized Linear Mixed Models were estimated. These models have been applied in a wide range of fields in which continuous data with exact zeros regularly arise (Zhang 2013). As observations collected from the same country are often correlated, countries were treated as random effects. In addition, GLMMs were conducted to test whether exposure to COVID-19-related problems, current mental health concerns, history of mood and/or anxiety disorder,
396 A.Mesquita et al. 1 3 unemployment, gravidity (number of pregnancies: primigravida vs. multigravida), maternal education, and age moderated the association between the number of changes to childbirth plans and PTSS. Statistical analyses were performed using R programming language (Core Team 2021). We used glmmTMB package to perform generalized linear mixed-effects modeling. P values lower than 0.05 were considered statistically significant. Results Participant’s characteristics are shown in Table1. The average age was 32 (4.9 SD) years; 59.5% were primigravida, 14.5% were unemployed, and 26.0% had secondary or lower educational level. In addition, 16.6% had a history of mood and/or anxiety disorders and 6.1% were currently having treatment for mental health problems. Ten percent of participants had already experienced COVID-19 related symptoms. Table 1 Sociodemographic and clinical characteristics of participants (N = 3532) Postpartum women Primigravida N = 2103 Multigravida N = 1429 Total N = 3532 PTSS score Median (Q1–Q3) 8 (4–15) 8 (4–14) 8 (4–15) Maternal age N (%) ≤ 24 173 (9.3) 48 (3.7) 221 (7.0) 25–35 1356 (73.2) 772 (60.0) 2128 (67.8) ≥ 36 323 (17.4) 467 (36.3) 790 (25.2) Missing 251 (11.9) 142 (9.9) 393 (11.1) Mean (SD) Median (Q1–Q3) 31 (4.8) 31 (28–34) 34 (4.7) 34 (31–37) 32 (4.9) 32 (29–36) Currently on treatment for mental health problems N (%) Yes 119 (5.9) 89 (6.4) 208 (6.1) No 1899 (93.4) 1283 (92.5) 3182 (93.0) Declined to answer 15 (0.7) 15 (1.1) 30 (0.9) Missing 70 (3.3) 42 (2.9) 112 (3.1) Exposure to COVID-19-related problems N (%) Yes 163 (7.8) 190 (13.3) 353 (10.0) No Missing 1940 (92.2) 0 (0.0) 1239 (86.7) 0 (0.0) 3179 (90.0) 0 (0.0) History of mood and/or anxiety disorder N (%) Yes 370 (17.6) 215 (15.0) 585 (16.6) No 1733 (82.4) 1214 (85.0) 2947 (83.4) Missing 0 (0.0) 0 (0.0) 0 (0.0) Mother education N (%) Secondary education or lower 457 (21.7) 379 (26.5) 836 (26.0) Higher education 1445 (68.7) 931 (65.1) 2376 (74.0) Missing 201 (9.6) 119 (8.4) 320 (9.0) Unemployment N (%) Yes 313 (14.9) 198 (13.9) 511 (14.5) No 1790 (85.1) 1231 (86.1) 3021 (85.5) Missing 0 (0.0) 0 (0.0) 0 (0.0) Country N (%) Albania 9 (0.4) 4 (0.3) 13 (0.4) Brazil 317 (15.1) 260 (18.2) 577 (16.3) Bulgaria 23 (1.1) 11 (0.8) 34 (1.0) Chile 141 (6.7) 141 (9.9) 282 (8.0) Cyprus 138 (6.6) 86 (6.0) 224 (6.3) Greece 233 (11.1) 97 (6.8) 330 (9.3) Malta 77 (3.7) 40 (2.8) 117 (3.3) Portugal 391 (18.6) 269 (18.8) 660 (18.7) Spain 267 (12.7) 217 (15.2) 484 (13.7) Turkey 357 (17.0) 174 (12.2) 531 (15.0) UK 150 (7.1) 130 (9.1) 280 (7.9) Missing 0 (0.0) 0 (0.0) 0 (0.0)
397 Changes towomen’s childbirth plans duringtheCOVID‑19 pandemic andposttraumatic stress… 1 3 The overall PTSS scores median was 8 (interquartile range [4–15]; Supplementary Table1). Women from Brazil and Chile had the highest median (12 [7–20] and 10 [5–18], respectively), while women from Albania and Turkey had the lowest median (6 [1–9] and 6 [3–12], respectively). Sixty-four percent reported at least one change to the childbirth plan. The most frequently reported change to childbirth plans was “Support people (e.g., partner, family) were not allowed to attend baby’s delivery” (41.5%). The least frequently reported change was “My elective induction or C-section was not allowed as planned” (2.0%). Frequency of changes to childbirth plans are detailed in Table2. Adjusted models, addressing the individual role of each change on childbirth plans (while controlling to all the other changes), showed that all changes to childbirth plans were significantly associated with PTSS scores except “Change to planned delivery location” (Exp(β) = 1.05, 95% CI [0.98–1.13]; p = 0.223) and “I was separated from the baby for a long period after delivery (e.g., my baby was quarantined in the hospital nursery; no skin to skin contact)” (Exp(β) = 1.08, 95% CI [0.94–1.24]; p = 0.262; Table3). The association with PTSS scores was strongest for those reporting “Reduced access to preferred medications before or after delivery (i.e., nitrous oxide, epidural)” (Exp(β) = 1.23, 95% CI [1.08–1.40]; p = 0.002) and “My elective induction or Table 2 Change on childbirth plans overall and by gravidity (N = 3532) Primigravida N = 2103 Multigravida N = 1429 Total N = 3532 N (%) N (%) N (%) 1. Reduced access to preferred medications before or after delivery (i.e., nitrous oxide, epidural) 82 (3.9) 47 (3.3) 129 (3.7) 2. Change to planned delivery location 255 (12.1) 169 (11.8) 424 (12.0) 3. My elective induction or C-section was not permitted as planned 40 (1.9) 30 (2.1) 70 (2.0) 4. My elective vaginal birth changed to induction or C-section 265 (12.6) 112 (7.8) 377 (10.7) 5. My health care provider (e.g., doctor, doula, midwife) was not available for my baby’s birth as planned 162 (7.7) 102 (7.1) 263 (7.4) 6. Support people (e.g., partner, family) were not permitted to attend baby’s delivery 965 (45.9) 500 (35.0) 1465 (41.5) 7. I was separated from baby immediately after delivery 223 (10.6) 107 (7.5) 330 (9.3) 8. I was separated from baby for a long period after delivery (e.g., my baby was quarantined in the hospital nursery; not skin to skin contact) 96 (4.6) 40 (2.8) 136 (3.9) 9. No change 682 (32.4) 578 (40.4) 1260 (35.7) 10. Other 381 (18.1) 251 (17.6) 632 (17.9) Table 3 Fixed effects estimates from generalized linear mixed model for PTSS score associated with changes in childbirth plans due to COVID- 19 (N = 3532) * Adjusted for all the other variables assessing changes in childbirth plans Unadjusted Adjusted* PTSS score PTSS score CHANGES IN CHILDBIRTH PLANS Exp(β) (95% CI) p value Exp(β) (95% CI) p value Reduced access to preferred medications before or after delivery (i.e., nitrous oxide, epidural) 1.34 (1.18–1.53) < 0.001 1.23 (1.08–1.40) 0.002 Change to planned delivery location 1.12 (1.03–1.20) 0.005 1.05 (0.98–1.13) 0.223 My elective induction or C-section was not permitted as planned 1.40 (1.19–1.65) < 0.001 1.23 (1.05–1.45) 0.013 My elective vaginal birth changed to induction or C-section 1.26 (1.16–1.36) < 0.001 1.17 (1.08–1.27) < 0.001 My health care provider (e.g., doctor, doula, midwife) was not available for by baby’s birth as planned 1.24 (1.13–1.35) < 0.001 1.14 (1.09–1.24) 0.006 Support people (e.g., partner, family) were not be permitted to attend baby’s delivery 1.21 (1.15–1.28) < 0.001 1.15 (1.09–1.22) < 0.001 I was separated from baby immediately after delivery 1.26 (1.16–1.36) < 0.001 1.10 (1.00–1.21) 0.034 I was separated from baby for a long period after delivery (e.g., my baby was quarantined in the hospital nursery; not skin to skin contact) 1.25 (1.10–1.42) < 0.001 1.08 (0.94–1.24) 0.262
398 A.Mesquita et al. 1 3 C-section was not allowed as planned” (Exp(β) = 1.23, 95% CI [1.05–1.45]; p = 0.013). Cumulative effects ofchanges tochildbirth plan onPTSS scores The number of women reporting one change in their childbirth plans was 1233 (34.9%; 771 primigravida) and two or more changes were reported by 771 women (21.8%; 508 primigravida). Participants who experienced two or more changes in their childbirth plans had PTSS scores 38% higher than those that had no changes (Exp(β) = 1.38; 95% CI [1.29–1.48]; p < 0.001). Participants with one change to their childbirth plans had PTSS scores about 12% higher than those that had no changes (Exp(β) = 1.12; 95% CI [1.06–1.19]; p < 0.001). Moderation effects ofchanges onchildbirth plan onPTSS The association between changes in childbirth plans and PTSS scores was moderated by gravidity (see Table4). The effect of having one change in the childbirth plan on PTSS scores was stronger in primigravida than in multigravida (Exp(β) = 0.86; 95% CI [0.77–0.97]; p = 0.014). However, the effect of having two or more changes in the childbirth plan on PTSS scores was similar for both primigravida and multigravida (Exp(β) = 0.88; 95% CI [0.77–1.00]; p = 0.067). A history of mental health problems, current treatment for mental health problems, unemployment, exposure to COVID-19-related problems, and education did not moderate the association between changes in the childbirth plans and PTSS scores (see Table4). Discussion Main findings This study examined whether changes to women’s childbirth plans during the COVID-19 pandemic were associated with postpartum PTSS. Results confirmed that changes to childbirth plans were common during the COVID-19 pandemic, and more than half of the women (64%) experienced at least one change to their childbirth plans. This had a significant impact on women, with significant increases in PTSS reported by those who experienced changes. There was a dose–response effect of changes in childbirth plans on postpartum PTSS, with PTSS scores increasing from 12% in women exposed to one change to 38% in women with cumulative exposure to two or more changes. This dose–response effect of the exposure to changes in childbirth plans is consistent with the notion of the allostatic load (i.e., cumulative impact of exposure to stress) being associated with greater PTSD scores and other negative health outcomes (Carbone etal. 2022). Primigravida seemed to be more susceptible to lower exposures (i.e., exposure to one change) compared to multigravida, yet for exposure to multiple changes (i.e., two or more) there was no difference in PTSS scores. The most common change to childbirth plans was related to the unexpected ban of having a support person attending the delivery, reported by 41.5% of the women. A smaller number of women (7.4%) reported not having their planned HCP with them at the birth. These changes conflict with extensive evidence showing the importance of having the support of a significant person during labor and childbirth on physical and psychological outcomes for women and their infants. For example, it is well established that continuous support during birth leads to improved maternal and infant outcomes (Bohren etal. 2017). Reviews of clinical trials show that continuous support during labor is associated with less pain medication, shorter labors, fewer cesarean births, and greater satisfaction with birth (Bohren etal. 2017). Conversely, poor support or interpersonal difficulties during birth are a key risk factor for postpartum PTSS/PTSD (Ayers etal. 2016; Harris and Ayers 2012). PTSS has been associated with social support–related factors, such as poor interaction with HCPs, perceptions of inadequate care during birth, low support from partner and staff, and being poorly informed or not listened to (Creedy etal. 2000; Czarnocka and Slade 2000; Soet etal. 2003). These unexpected events, including the lack of support either from caregivers and/or partners in such an important moment of women’s life, may have increased the feelings of insecurity and uncertainty or fear for their own health or their newborns’ health, and have been described as a strong predictor of PP-PTSS (Ayers etal. 2016). In addition, in the postnatal period there are dynamic structural and functional changes that take place in women’s brain that are not exclusively adaptive, and increase the vulnerability for the development of mental disorders (Barba- Müller etal. 2019), which is particularly relevant in such unpredictable pandemic context. It is therefore concerning that so many women were not able to have their partner or other support person at the time of childbirth during COVID- 19, as also reported in other studies (Lazzerini etal. 2022). The greatest increased in PTSS scores was for women who planned to have an elective induction or C-section but were not allowed to. MNC services and/or HCPs not permitting an induction or C-section was relatively rare (reported by 2% of women) but was associated with a 40% increase in PTSS scores. Similarly, women who planned to have a vaginal birth but had an induction or C-section had a 26% increase in PTSS scores. In addition, women who were unable to have their preferred pain relief also had one of the largest increased PTSS scores. This highlights the importance of complying with the planned mode of birth – not
399 Changes towomen’s childbirth plans duringtheCOVID‑19 pandemic andposttraumatic stress… 1 3 Table 4 Fixed effects estimates from generalized linear mixed model for PTSS score, testing as moderators gravidity, COVID-19 symptoms, previous history of mental health problems, current treatment to mental health problems, unemployment, and education and country as a random effect Fixed effects Exp(β) (95% CI) p value Gravidity (N = 3532) Intercept 8.29 (7.40–9.30) < 0.001 Childbirth plan (ref: no change) Childbirth plan (one change) 1.19 (1.10–1.29) < 0.001 Childbirth plan (two or more changes) 1.45 (1.34–1.58) < 0.001 Gravidity (ref: primigravida) Gravidity (multigravida) 1.07 (0.99–1.16) 0.091 Childbirth plan (one change) × gravidity (multigravida) 0.86 (0.77–0.97) 0.014 Childbirth plan (two or more changes) × gravidity (multigravida) 0.88 (0.77–1.00) 0.067 COVID-19 symptoms (N = 3532) Intercept 9.70 (8.28–11.36) < 0.001 Childbirth plan (ref: no change) Childbirth plan (one change) 1.18 (0.99–1.40) 0.067 Childbirth plan (two or more changes) 1.59 (1.33–1.91) < 0.001 COVID-19 symptoms (ref: no) COVID-19 symptoms (yes) 0.87 (0.76–0.99) 0.039 Childbirth plan (one change) × COVID-19 symptoms (yes) 0.94 (0.78–1.13) 0.507 Childbirth plan (two or more changes) × COVID-19 symptoms (yes) 0.84 (0.69–1.01) 0.066 History of mental health problems (N = 3532) Intercept 7.91 (7.18–8.72) < 0.001 Childbirth plan (ref: no change) Childbirth plan (one change) 1.12 (1.05–1.19) < 0.001 Childbirth plan (two or more changes) 1.36 (1.27–1.47) < 0.001 History of mental health problems (ref: no) History of mental health problems (yes) 1.54 (1.40–1.69) < 0.001 Childbirth plan (one change) × history of mental health problems (yes) 1.04 ( 0.90–1.20) 0.585 Childbirth plan (two or more changes) × history of mental health problems (yes) 0.97 (0.84–1.12) 0.707 Current treatment for mental health concerns (N = 3420) Intercept 11.71 (9.92–13.85) < 0.001 Childbirth plan (ref: no change) Childbirth plan (one change) 1.64 (0.94–1.45) 0.170 Childbirth plan (two or more changes) 1.46 (1.17–1.80) < 0.001 Current treatment for mental health concerns (ref: no) Current treatment for mental health concerns (yes) 0.72 (0.62–0.83) < 0.001 Childbirth plan (one change) × current treatment for mental health concerns (yes) 0.95 (0.76–1.19) 0.678 Childbirth plan (two or more changes) × current treatment for mental health concerns (yes) 0.93 ( 0.74–1.16) 0.519 Unemployment (N = 3532) Intercept 8.37 (7.49–9.35) < 0.001 Childbirth plan (ref: no change) Childbirth plan (one change) 1.14 (1.07–1.22) < 0.001 Childbirth plan (two or more changes) 1.40 (1.30–1.50) < 0.001 Unemployment (ref: no) Unemployment (yes) 1.20 (1.06–1.35) 0.003 Childbirth plan (one change) × unemployment (yes) 0.86 (0.73–1.02) 0.089 Childbirth plan (two or more changes) × unemployment (yes) 0.90 (0.76–1.07) 0.240 Level of education (N = 3212) Intercept 10.06 (8.84–11.45) < 0.001 Childbirth plan (ref: no change)
400 A.Mesquita et al. 1 3 the mode of birth per se, but the one that women desired and planned. This is consistent with previous reports of increased PTSS in women who planned a C-section birth but ending up having a vaginal birth, compared to women who planned and had a vaginal birth (Garthus-Niegel etal. 2014). This greatest PTSS scores in women who planned an induction or C-section is probably due to specific reasons related to individual factors, such as previous traumatic birth experiences, obstetric risk or complications, and/or fear of childbirth. Denying the preferred/planned mode of birth is therefore likely to cause anxiety and distress, increasing the likelihood of a traumatic birth and of developing PTSS. Unexpected separation from the newborn for a long period after delivery was associated with PTSS scores in the unadjusted analyses. However, once analyses were adjusted for all the other changes in childbirth plans, women who were separated from the newborn for a long period after delivery had a small increase in PTSS scores. We were expecting a greater effect of the separation of the baby since it decreases the skin-to-skin contact and breastfeeding which are associated with increased PTSS (Chen etal. 2022; Kahalon etal. 2022) possibly through the effects of oxytocin, bonding, and memory consolidation (Deforges etal. 2022; Witteveen etal. 2020). It is difficult to interpret our findings since we do not have information on the reasons or characteristics of the separation. More research is therefore needed to better understand these associations and the mechanisms underlying them. Finally, having a changed location of birth was associated with increased PTSS scores. However, when assessing the impact of changing the location of birth controlling for the effect of other changes to the childbirth plan, the effect was no longer significant. Strengths andlimitations A strength of this study is that it reports changes to women’s childbirth plans during the COVID-19 pandemic in a large European sample of women from 11 countries. However, the cross-sectional nature of the survey and the use of an online convenience sampling limit the conclusions regarding causality and the generalizability of the results. Most women in our sample were highly educated and employed. Unfortunately, we did not collect information on ethnicity so are unable to report how representative the sample is in relation to ethnicity. A final limitation is that the measure of PTSS was shortened for this study, so it is not validated and does not allow assessment of diagnostic criteria for PTSD. However, the measure was shortened from a widely used, validated scale (PCL-5). Conclusion This study clearly shows that changes to women’s childbirth plans during the COVID-19 pandemic were associated with greater postpartum PTSS, indicating that restrictions to wom- en’s planned childbirth had a critical negative impact on wom- en’s mental health. In the uncertainty and unpredictability of the COVID-19 pandemic, there were understandable reasons underpinning the restrictions in MNC services. It is therefore important to learn from experiences and research during this time to inform evidence-based post-pandemic MNC in regular and in crisis situations that may arise in the future. Supplementary information The online version contains supplementary material available at https:// doi. org/ 10. 1007/ s00737- 023- 01403-3. Acknowledgements We are grateful to the women who dedicated their time to complete the survey. We thank the Management Committee of COST Action Riseup-PPD for their support. We would also like to thank all the other researchers who are collaborating on the project as the “Riseup-PPD-COVID-19 Group“: Andri Christoforou (Cyprus), Ana Uka (Albania), Sandra Saldivia (Chile), Mercedes Carrasco-Portiño (Chile), Natalia Houliara (Greece), Yanis Zervas (Greece), Areti Spyropoulou (Greece), Aggeliki Leonardou (Greece), Alexia Karain (Greece), Iliana Liakea (Greece), Patricia Moreno-Peral (Spain), Sonia Conejo-Cerón (Spain), María del Pilar Garrido-Borrego (Spain), María José Gonzalez-Vereda (Spain), Carmen Martín-Gomez (Spain), Irene Gómez-Gómez (Spain), Javier Álvarez (Spain), Carmen Rodríguez-Domínguez (Spain), María Fe Rodriguez (Spain), Ana Ganho-Ávila (Portugal), Bárbara Figueiredo (Portugal), Isabel Soares (Portugal), Adriana Sampaio (Portugal), Cristina Nogueira-Silva (Portugal), Berta Maia (Portugal), Mariana Marques (Portugal), Joana Antunes (Portugal), Rita Pereira (Portugal), Marlene Sousa (Portugal), María Fernanda González (Argentina), Marina Mattioli (Argentina), Gisele Apter (France), Emmanuel Devauche (France), Lisa Vitte (France), and Cyriaque Hauguel (France). Table 4 (continued) Fixed effects Exp(β) (95% CI) p value Childbirth plan (one change) 1.00 (0.89–1.13) 0.894 Childbirth plan (two or more changes) 1.31 (1.16–1.49) < 0.001 Level of education (ref: secondary or lower) Level of education (higher) 0.83 (0.76–0.92) < 0.001 Childbirth plan (one change) × level of education (higher) 1.12 (0.97–1.28) 0.115 Childbirth plan (two or more changes) × level of education (higher) 1.03 (0.89–1.19) 0.681
401 Changes towomen’s childbirth plans duringtheCOVID‑19 pandemic andposttraumatic stress… 1 3 Author contribution EM and AM are the guarantors. EM and AM conceived and design the study, the other authors (SD-S, VM, YC-G, EA, PD-Y, CH, EV, CAW, RC, EH, and EF) collaborated in the implementation of the protocol (namely, translation and adaption whenever necessary) and recruitment of participants in each country. AM and RC coordinated the manuscript writing, drafted the results section, and edited the final version of the manuscript. PD-Y and SA prepared an initial draft of the introduction and discussion. SF and GS developed the statistical analysis, and performed the tables. All authors (PD-Y, SF, GS, VM, EV, CAW, EF, EA, EH, CH YC-G, SD-S EM, IS, and SA) have reviewed the draft critically and suggested revisions, given final approval of the version to be published, and agreed to be accountable for all aspects of the study. Funding Open access funding provided by FCT|FCCN (b-on). This publication is based upon work from COST Action Research Innovation and Sustainable Pan-European Network in Peripartum Depression Disorder (Riseup-PPD), CA18138 andDEVoTION: Perinatal Mental Health and Birth-Related Trauma: Maximising best practice and optimal outcomes,CA18211 bothsupported by COST (European Cooperation in Science and Technology). EPIUnit – UIDB/04750/2020, ITR – LA/P/0064/2020, and HEILab – UIDB/05380/2020 are supported by Portuguese fundings through FCT – Fundação para a Ciência e a Tecnologia, IP. RC has a postdoctoral grant supported by the European Social Fund (ESF) and FCT (SFRH/BPD/117597/2016; RC postdoctoral fellowship). The work developed by ProChild CoLAB was supported by (i) NORTE-06-3559-FSE-000044, integrated in the invitation NORTE- 59-2018-41, aiming to hire Highly Qualified Human Resources, cofinanced by the Regional Operational Programme of the North 2020, thematic area of Competitiveness and Employment, through the European Social Fund (ESF) and (ii) Mission Interface Program from the Resilience and Recuperation Plan, notice nº 01/C05-i02 /2022, aiming to guarantee public core funding to strengthen the network of interface institutions, as defined in the legal regime in force, approved by Decree- Law no. 63/2019, of May 16th, as well as in its 1st review on “Technology and Innovation Centres – CTI” and “Collaborative Laboratories – CoLABs,” approved by Decree-Law no. 126-B/2021, of December 31st. The Psychology Research Centre- CIPsi (PSI/01662), School of Psychology, University of Minho, was supported by the Foundation for Science and Technology (FCT) through the Portuguese State Budget (Ref.: UIDB/PSI/01662/2020). Bulgarian national data collection supported by national co-funding of COST Actions, № KP-06-KOST/14 from 16.12.2020, FNI. CAW is funded by the UK’s National Institute for Health and Care Research (NIHR) as an Academic Clinical Lecturer. Data availability The data is available upon reasonable request to the authors. Declarations Ethics approval This protocol and the template of informed consent forms were reviewed and approved by the following Ethics Committees: Bedër University College, Albania (Ethics protocol: 145); Sofia University “St. Kliment Ohridski,” Bulgaria (Ethics protocol approved 21 June 2020); Cyprus National Bioethics Committee (Ethics protocol: EEBK ΕΠ 2020.01.126); American College of Greece (Ethics protocol: #202005207); University of Malta (Ethics protocol: FRECMDS_1920_179); University of Minho, Portugal (Ethics Protocol: CEICVS 045/2020); Andalusian Ministry of Health, Spain (Ethics Protocol: 1257-N-20); Kırklareli University, Turkey (Ethics protocol: 35523585-199-E.8606); King’s College London, the United Kingdom (Ethics protocol: ID 19747); Mackenzie Presbyterian University, Brazil (Ethics Protocol: 31155120.7.0000.0084); Universidad de Concepcion, Chile (Ethics Protocol: CEC 13/2020 and CEBB 704–2020). Participants gave their informed consent via online, and protection of personal data was ensured by adherence to guidelines and regulations in each country. Conflict of interest The authors declare no competing interests. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. 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