| Literature DB >> 33142123 |
S K Brooks1, D Weston2, N Greenberg3.
Abstract
OBJECTIVES: Infectious disease outbreaks can be distressing for everyone, especially those deemed to be particularly vulnerable such as pregnant women, who have been named a high-risk group in the current COVID-19 pandemic. This paper aimed to summarise existing literature on the psychological impact of infectious disease outbreaks on women who were pregnant at the time of the outbreak. STUDYEntities:
Keywords: COVID-19; Coronavirus; Disease outbreaks; Infectious diseases; Mental health; Pregnancy
Mesh:
Year: 2020 PMID: 33142123 PMCID: PMC7605787 DOI: 10.1016/j.puhe.2020.09.006
Source DB: PubMed Journal: Public Health ISSN: 0033-3506 Impact factor: 2.427
Fig. 1. Flow diagram of the screening process.
Study characteristics of included articles.
| Study | Country | Disease outbreak | Participants | Measures |
|---|---|---|---|---|
| Dodgson et al. (2010) | China (Hong Kong) | SARS | 8 women who delivered healthy babies during the outbreak; mean age 34.3 years (range 28–38) | Interviews about experiences of being pregnant and delivering their baby during the SARS epidemic |
| Lee et al. (2006) | China (Hong Kong) | SARS | 235 women pregnant during the outbreak compared with a historical cohort of 939 recruited a year before; mean age 29.9 years (SARS cohort), 29.6 years (pre-SARS cohort) | Beck Depression Inventory, Spielberger State-Trait Anxiety Inventory, Medical Outcomes Study Social Support Survey. The SARS cohort also completed a 41-item questionnaire on worries, perceived risk and behavioural responses to SARS |
| Linde & Siqueira (2018) | Brazil, Puerto Rico and USA | Zika | 18 women: 5 had a recently born baby, 6 were pregnant, 5 were planning to get pregnant, 3 had no plans to get pregnant. Age range 22–41 | Interviews about personal and family life, perceptions and knowledge of Zika, views on reproductive health and rights regarding the Zika syndrome |
| Lohm et al. (2014) | Australia and Scotland | H1N1 | 14 pregnant women aged between 20 and 40 years | Interviews and focus groups about experiences with H1N1 and the public health response to H1N1 |
| Lyerly et al. (2012) | USA | H1N1 | 22 pregnant women who had participated in the H1N1 vaccine trials; mean age 31 years, range 19–39 | Interviews about experiences of decision-making around participation in the H1N1 vaccine trial |
| Lynch et al. (2012) | USA | H1N1 | 144 women: 43.4% of women were pregnant and 56.6% were within 6 months postpartum; 26.4% aged 18–24 years, 61.8% aged 25–34 years and 11.8% aged 35–44 years | Focus groups covering perceptions and awareness of H1N1, influenza vaccinations and antiviral medicines and trusted sources of information |
| Meireles et al. (2017) | Brazil | Zika | 14 pregnant women: 6 in the first trimester, 5 in the second trimester and 3 in the third trimester; mean age 33.4 years, range 28–40 | Focus groups with questions on feelings and experiences around being pregnant during the Zika outbreak |
| Ng et al. (2013) | China (Hong Kong) | SARS | 980 pregnant women of at least 16 weeks gestation; 0.6% aged younger than 18 years, 80.7% aged 18–35 years and 18.7% aged older than 35 years | Study-specific survey asking about sociodemographics, SARS knowledge, socio-economic impact of SARS and Chinese version of the State-Trait Anxiety Inventory |
| Ozer et al. (2010) | Turkey | H1N1 | 314 pregnant women; 27.4% in the first trimester, 33.8% in the second trimester and 38.8% in the third trimester | 48-question study-specific survey covering vaccination status, factors affecting decisions about vaccinating, H1N1 vaccine side-effects and beliefs about H1N1 vaccination campaign conspiracy |
| Sakaguchi et al. (2011) | Canada | H1N1 | 130 pregnant women who called counselling service Motherisk for counselling regarding the safety of H1N1 vaccine; median age 33 years, range 21–45; 31.5% in the first trimester at time of call, 46.2% in the second trimester, 22.3% in the third trimester | Study-specific questionnaire including questions on vaccination status, decision-making and factors that precipitated call to Motherisk |
| Sasaki et al. (2013) | Japan | H1N1 | 109 pregnant women attending prenatal classes | Study-specific questionnaire measuring anxiety, satisfaction with information supplied, reasons for anxiety, prophylaxis interventions practiced |
| Sim et al. (2011) | Scotland and Poland | H1N1 | 10 pregnant women | Interviews covering socio-economic background, migration history, family circumstances, general health during pregnancy, views of healthcare received during pregnancy, perceptions and experience of H1N1 influenza and the vaccine, sources of information about H1N1 and the vaccine, government responses to the pandemic and decision-making about the H1N1 vaccine |
| Steelfisher et al. (2011) | USA | H1N1 | 514 pregnant women | Study-specific survey with approximately 84 questions relating to attitudes and experiences associated with the H1N1 vaccine |
SARS, severe acute respiratory syndrome.
Themes emerging from included studies.
| Theme | Reference | Evidence |
|---|---|---|
| Negative emotional states | Dodgson et al. (2010) | Participants reported frustration, anxiety and difficulty sleeping. |
| Lee et al. (2006) | State anxiety was higher in pregnant women (mean score 37.2) during the SARS pandemic than in a comparative pre-SARS group (mean score 35.5, | |
| Linde & Siqueira (2018) | Participants reported sadness, uneasiness, fear, helplessness, panic, tension, responsibility, shame, failure, guilt due to pressure of having a healthy child, perceived loss of control of their own lives. | |
| Lohm et al. (2014) | Participants reported emotional stress. | |
| Meireles et al. (2017) | Participants reported a negative impact on body image due to not being able to show their bump or wear dresses that emphasised their pregnancy and having to cover up in clothing that made them feel constrained. Participants felt that others (e.g. their partners and parents) placed demands of them regarding prevention of Zika, leaving them feeling under pressure. | |
| Ng et al. (2013) | The mean state anxiety score (measured by the State-Trait Anxiety Inventory) was 50.4 (range 23–80). Among all, 65.2% of participants experienced moderate anxiety, 22.6% high anxiety and 12.2% low-level anxiety. Age, marital status, gestational age, parity, education level and gestational complications were not significantly associated with anxiety level, but there was a significant relationship between the state anxiety score and extent of socio-economic impact ( | |
| Sasaki et al. (2013) | Among all, 96.3% of participants felt concerned or strongly concerned about the pandemic. Nearly, all who felt anxious cited their pregnancy as the main reason for this. | |
| Living with uncertainty | Dodgson et al. (2010) | Participants reported doubt and confusion about what was a true threat to themselves and their babies, often due to conflicting and constantly changing messages in the media. All reported receiving no recommendations from doctors regarding what they should and should not be doing during pregnancy and postpartum; all but two found this frustrating and said it added to their anxiety about their baby's safety. |
| Linde & Siqueira (2018) | Participants reported uncertainty and mistrust concerning unknown factors surrounding Zika, contributing to feelings of helplessness and distress. | |
| Lohm et al. (2014) | Participants reported that the unknown effects of both infection and vaccination against infection increased their emotional stress. | |
| Meireles et al. (2017) | Participants reported uncertainty about the impact of the virus. | |
| Concerns about infection | Lee et al. (2006) | Pregnant women tended to overestimate their risk of contracting SARS: 21.9% of participants believed they were likely or very likely to contract it, while 21.5% believed their newborns were likely to. |
| Lohm et al. (2014) | Participants reported concerns about the health of both themselves and their babies. | |
| Lynch et al. (2012) | Participants did not show high levels of concern: 25.2% of participants were not at all worried, and many doubted the outbreak was as severe as reported and blamed the media for generating mass hysteria. Although many did not initially perceive H1N1 to be severe or personally threatening, views shifted during group discussions and exposure to news media and raised levels of concern. | |
| Meireles et al. (2017) | Participants reported uncertainty, anxiety and fear around the impact of the virus on both themselves and their baby. | |
| Ng et al. (2013) | Among all, 71.4% of participants perceived that pregnant women would have a higher risk of being infected. Eighty-nine percent of participants believed their unborn babies would be affected if they contracted it. | |
| Steelfisher et al. (2011) | Thrity-four percent of participants were concerned they might get sick from H1N1, and 49% of participants were concerned their baby might get sick. Fifty-two percent of participants believed pregnant women were more likely to become seriously ill than the general population from H1N1. | |
| Concerns about, and uptake of, prophylaxis/treatment | Lee et al. (2006) | Among all, 68.8% of participants were worried or very worried about foetal malformation if antiviral drugs were needed for infection. |
| Lohm et al. (2014) | Participants reported difficulties in deciding whether to get vaccinated or not; some delayed vaccination due to anticipating changing knowledge of the side-effects. | |
| Lyerly et al. (2012) | Participants universally articulated positive or neutral valuation of risks and benefits associated with the H1N1 vaccine (although it must be noted, all participants had taken part in the vaccine trial and therefore are likely to have positive views of the vaccine and are not necessarily representative of pregnant women as a whole). Many believed the risk of contracting H1N1 outweighed any theoretical risk from vaccine. Many jumped at the chance to participate in the trial due to early access to the vaccine. Notions of a growing pandemic and finite supply of vaccine made them eager to have it early, particularly women nearing the end of their pregnancies. Many felt reassured by the research question itself which was focused on dosing rather than vaccine-related harm and made the vaccine seem already safe. | |
| Lynch et al. (2012) | Women had concerns about both vaccinations and antiviral medicine and were not well informed about either: 41.1% of participants had low acceptance of the H1N1 vaccine, mostly due to concerns about the vaccine being untested and uncertainty about side-effects, particularly long-term side-effects for the developing foetus. Most were unaware of how antivirals work, confusing them with both antibiotics and vaccines, and some were hesitant about potential side-effects of antivirals on their unborn baby. In fact, many were cautious about taking any medications during pregnancy for the same reason. Concern about infant's well-being, however, was a strong motivator for adopting preventive recommendations including vaccination. Among all, 43.5% of participants would take antivirals such as Tamiflu. | |
| Ozer et al. (2010) | Of all, 8.9% of participants got the H1N1 vaccine. The percentage of participants who felt comfortable with decisions about the vaccine, who did not feel comfortable and who felt hesitant was 68.5%, 7.3% and 24.2%, respectively. Probability of receiving a vaccine was 3.46 times higher among working women than among housewives, 1.85 times higher among women who already had a child and 1.29 times higher among women with a high school education or higher. Correct knowledge about minimal risks associated with vaccine was associated with increase in receiving vaccine. Age, education, place of residence, chronic disease situation and trimester were not significantly associated with vaccination status. Among all, 70.1% of participants believed the vaccine could cause miscarriage, 74.2% thought it could cause deformation in children and 72.3% were worried vaccine could cause infertility. | |
| Sakaguchi et al. (2011) | Among the 104 participants who received the H1N1 vaccine, concern about risk of H1N1 in foetus and/or themselves was the most cited reason for decision (73.1%), followed by recommendations encouraging vaccination (34.6%) and previous history of complication or illness from influenza (3.8%). More than 20% of participants cited having household contacts (infant or elderly relative) or being a caregiver as contributing to decision. Among those who did not get the vaccine (n = 26), concern about safety of vaccine for themselves and/or foetus was the most cited reason (42.3%) followed by not thinking it necessary (23.1%) and previous adverse events associated with vaccinations (7.7%). | |
| Sim et al. (2011) | Almost all (9/10) had a critical stance towards H1N1 vaccine. Deciding whether to have the vaccine or not was difficult and anxiety provoking for all and was seen as choosing the ‘least worst’’ option in terms of competing risks. Participants identified a contradiction between the culture of caution which characterises pregnancy-related advice and being urged to accept a relatively untested vaccine. The risk of being seen as a ‘bad mother’ for whichever course of action they took heightened the anxiety surrounding decision-making. | |
| Steelfisher et al. (2011) | Those who were concerned about their babies getting sick were more likely to have the H1N1 vaccine (50% v 33%), as well as those who believed they themselves were at greater risk than the general population of becoming seriously ill (54% v 28%). Main reasons for not having vaccine: concerns about safety risk to unborn babies (62%) and to themselves (59%); not believing they were at risk of getting H1N1 (15%) or that they would get seriously ill from it (15%); ability to get medication if they did become sick (11%). | |
| Disrupted routines | Dodgson et al. (2010) | Daily routines were disrupted, often leading to relationship difficulties with spouses. Examples included sleeping separately from partners if their partner had a high-risk occupation, avoiding contact with other family members, not leaving the house. Not leaving the house left participants who lived in small apartments feeling confined. Participants also did less shopping for food and baby supplies. |
| Lee et al. (2006) | Many participants stopped leaving the house. | |
| Linde & Siqueira (2018) | Participants reported eliminating leisure activities. | |
| Ng et al. (2013) | Decreased social activities: 4.5% not at all, 32.1% somewhat, 38% moderately, 25.4% very much. | |
| Non-pharmaceutical protective behaviours | Dodgson et al. (2010) | All participants reported living in a state of intense vigilance related to hygiene measures. Behaviours included monitoring the news, gathering hygiene supplies, ensuring anyone who entered their homes abided by the current recommendations, cleaning hands vigilantly, washing bags, clothes and hair after going out, cancelling planned visits from family or banning visitors from the home entirely. |
| Lee et al. (2006) | Participants reported adopting behavioural strategies to mitigate their risk of contracting infection, including washing hands more than usual (91.5%), wearing masks most or all of the time (70.1%), wearing gloves most or all of the time (1.7%), rarely or never leaving the house (37.2%) and going out less than usual (54.7%). | |
| Lynch et al. (2012) | Likelihood of taking the following recommendations: 100% of participants would wash their hands and cover coughs; 74.6% would keep children at home; 68.1% would stay away from large gatherings; 43.9% would get alternative prenatal care such as appointments being held over the telephone or at a different location; 36.8% would wear a mask. | |
| Linde & Siqueira (2018) | Participants reported using repellents constantly and wearing long sleeves and closed shoes which often caused discomfort. | |
| Meireles et al. (2017) | Participants avoided places of risk. | |
| Ng et al. (2013) | Wearing a mask: 61.2% very much, 25.4% moderately, 10.6% somewhat, 2.8% not at all. | |
| Sasaki et al. (2013) | Major precautions taken included wearing a mask, stocking up on ‘prophylaxis materials’ (not clear from article what these were) and information gathering. Nearly all practiced hand washing; other measures included gargling and wearing a mask. | |
| Social support | Lee et al. (2006) | Women who were pregnant during the SARS outbreak reported significantly higher affectionate support ( |
| Financial and occupational concerns | Dodgson et al. (2010) | Some participants took early maternity leave from work with no pay if they worked in high-risk occupations such as healthcare. |
| Linde & Siqueira (2018) | Several participants placed careers at risk by giving up growth opportunities such as attending meetings and travelling for work; many tried to work from home or change occupation, often leading them to feel isolated from their colleagues. | |
| Meireles et al. (2017) | Participants reported additional expenses due to needing to buy repellents and appropriate clothing. | |
| Ng et al. (2013) | Among all, 24.5% of participants reported somewhat negative socio-economic impact of SARS on daily life, 27.5% moderately, 30.2% very much so, 17.8% not at all. One third stated their family's financial situation had changed. | |
| Disrupted expectations of birth and prenatal/postnatal care | Dodgson et al. (2010) | None of the women had the birth experience they had hoped for, due to changes in hospital practices. Fifty percent of participants reported that they could not have family members visit them in the hospital; 25% of participants reported that the father was to be the only visitor; 37.5% of participants had restricted time with their own babies as they were kept separately in the hospital nursery. They had to wear masks and gowns and could not kiss their babies, while fathers could only see them through glass, leading to concerns about lack of time for bonding and attachment. There were scheduled feeding times and if they missed one they had to wait for the next. Three participants who had planned deliveries in public hospitals opted instead to pay for private hospitals; participants reported monitoring the visiting policies of their chosen hospitals as well as whether there were SARS cases in those hospitals. One chose a caesarean delivery in a private hospital as her husband would not have been allowed to accompany a natural delivery. |
| Sources of information | Lyerly et al. (2012) | Participants felt they got more detailed information about the H1N1 vaccine from researchers in the vaccine trial than their doctors. |
| Lynch et al. (2012) | Highly trusted sources of information were healthcare providers such as obstetricians, midwives and paediatricians and government health agencies; many distrusted the media which they perceived to be benefiting financially from the outbreak, and in some cases, this distrust extended to government officials. Participants preferred the internet or social networks for communication because of immediate access and low cost. Participants with older children also recommended schools as a helpful medium for disseminating information. Most agreed that information should be disseminated in multiple ways through many channels. | |
| Sakaguchi et al. (2011) | More than 60% of participants reported information from direct healthcare providers or Motherisk was helpful. More than 65% of participants found information from media was confusing and unhelpful. | |
| Sasaki et al. (2013) | Users of municipality information reported using many more information sources than non-users. Major information sources used were television, internet and newspapers. Nearly all used television; fewer than 30% obtained information from a hospital or clinic, despite being seen regularly for appointments. Many felt that too little information was available. | |
| Sim et al. (2011) | Participants did not feel official information about H1N1 vaccine addressed concerns in sufficient detail and sought information from a variety of sources. Four women perceived official information about H1N1 vaccine to be a form of propaganda. All sought out alternative information primarily through social networks and the internet. Lack of information about side-effects on unborn baby was the most significant gap in official information. |
SARS, severe acute respiratory syndrome.