Experiences of seeking and receiving maternity care during a health-system shock: a qualitative study with women and partners in the UK with a focus on marginalised groups
Tisha Dasgupta, Lara Rowell, Harriet Boulding, Abigail Easter, Gillian Horgan, Hiten D Mistry, Yesmin Begum, Michelle Peter, Tania Sutedja, Aricca Van Citters, Eugene C Nelson, Peter von Dadelszen, Laura A Magee, Hannah Rayment-Jones, Sergio A Silverio, Laura A Magee

TL;DR
This study explores how the UK's maternity care was affected by the pandemic, especially for marginalized groups, highlighting challenges in accessing care and the need for equitable policies.
Contribution
The study introduces a novel application of the Candidacy framework to analyze how health-system shocks impact maternity care access for marginalized populations.
Findings
Marginalized individuals faced greater challenges in asserting their eligibility for maternity care during the pandemic.
Virtual care delivery and restrictions on partners created new barriers to accessing maternity services.
Disrespect of women's opinions and cultural differences by professionals worsened care experiences.
Abstract
Health-system shocks, such as the COVID-19 pandemic, significantly disrupted routine maternity care. This study explored the lived experiences of accessing maternity care during such a shock, with a focus on marginalised populations and those with social or medical complexity. Semi-structured interviews (n=55) were conducted with 40 women and 15 partners across the UK who accessed maternity care during the pandemic. Data were analysed using Template Analysis, guided by an extended Candidacy framework, which explores how healthcare eligibility is negotiated between individuals and health systems. At the individual level, limited information and disrupted relationships made it harder for individuals to assert their claim to candidacy, when seeking care. At the system level, services became harder to use due to new barriers associated with virtual care delivery and restrictions on…
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| Candidacy framework factor | Definition | Individual level | Health system level |
|---|---|---|---|
| Existing factors | |||
| Identification | Self-acknowledgement of necessity of medical attention for symptoms | ● | – |
| Navigation | Learning about and negotiating services | ● | ● |
| Permeability | Ease with which people can use services | – | ● |
| Appearance at health services | Individuals’ ability to articulate their need for care and assert their candidacy | ● | – |
| Adjudication | Healthcare providers’ judgements dictating progression of individuals’ candidacy | – | ● |
| Offers and resistance | Declining to accept care offers, medications or referrals | ● | ● |
| Local production of candidacy | Local factors influencing candidacy, including availability of resources and long-term patient–provider relationships | ● | ● |
| Extended factors proposed | |||
| Intercultural dissonance | Additional barriers faced by those who are not native-born and experience a distinct difference in social norms and culture, medical and social knowledge and expectations, language, changing intergenerational relationships. | ● | – |
| Hostile bureaucracy | Discriminatory policies in the host country, both in and outside of healthcare, that impose additional barriers such as restrictions on health coverage, welfare support and right to rental properties; high visa application costs; and limits on qualifying employment. | – | ● |
| Women | Partners | Total | |
|---|---|---|---|
| Age at Interview | |||
| 18–25 | 2 (5) | 0 (0) | 2 (3.6) |
| 26–30 | 5 (12.5) | 6 (40) | 11 (20) |
| 31–40 | 28 (70) | 7 (46.7) | 35 (63.7) |
| 41–50 | 5 (12.5) | 2 (13.3) | 7 (12.7) |
| Gender | |||
| Female | 40 (100) | 1 (6.7) | 41 (74.5) |
| Male | 0 (0) | 14 (93.3) | 14 (24.5) |
| Sexual orientation | |||
| Heterosexual | 36 (90) | 11 (73.3) | 47 (85.5) |
| Bisexual | 3 (7.5) | 3 (20) | 6 (10.9) |
| Lesbian | 1 (2.5) | 0 (0) | 1 (1.8) |
| Gay | 0 (0) | 1 (6.7) | 1 (1.8) |
| Ethnicity | |||
| White/White British | 24 (60) | 7 (46.7) | 31 (56.4) |
| English/Welsh/Scottish/Northern Irish/British | 19 | 5 | |
| Irish | 1 | 0 | |
| Any other White background | 4 | 2 | |
| Asian/Asian British | 6 (15) | 0 (0) | 6 (10.9) |
| Any other Asian background | 0 | 0 | |
| Bangladeshi | 2 | 0 | |
| Chinese | 1 | 0 | |
| Indian | 3 | 0 | |
| Black/Black British | 6 (15) | 4 (26.7) | 10 (18.2) |
| African | 1 | 2 | |
| Any other Black/African/Caribbean background | 2 | 1 | |
| Caribbean | 3 | 1 | |
| Mixed/multiple ethnicity | 2 (5) | 4 (26.7) | 6 (10.9) |
| Any other mixed/multiple ethnic background | 0 | 0 | |
| White and Asian | 1 | 1 | |
| White and Black African | 0 | 1 | |
| White and Black Caribbean | 1 | 2 | |
| Other ethnic group | 2 (5) | 0 (0) | 2 (3.6) |
| Any other ethnic group | 1 | 0 | |
| Arab | 1 | 0 | |
| Geographic region | |||
| London | 18 (45) | 8 (53.3) | 26 (47.2) |
| East of England | 2 (5) | 1 (6.7) | 3 (5.5) |
| Midlands | 3 (7.5) | 0 (0) | 3 (5.5) |
| Northeast | 4 (10) | 2 (13.3) | 6 (10.9) |
| Northwest | 3 (7.5) | 1 (6.7) | 4 (7.2) |
| Southeast | 2 (5) | 0 (0) | 2 (3.6) |
| Southwest | 2 (5) | 1 (6.7) | 3 (5.5) |
| Wales | 3 (7.5) | 0 (0) | 3 (5.5) |
| Scotland | 2 (5) | 1 (6.7) | 3 (5.5) |
| Northern Ireland | 1 (2.5) | 1 (6.7) | 2 (3.6) |
| Index of Multiple Deprivation | |||
| 1 (most deprived) | 3 (7.5) | 0 (0) | 3 (5.5) |
| 2 | 3 (7.5) | 1 (6.7) | 4 (7.2) |
| 3 | 2 (5) | 0 (0) | 2 (3.6) |
| 4 | 4 (10) | 1 (6.7) | 5 (9.1) |
| 5 | 5 (12.5) | 5 (33.3) | 10 (18.2) |
| 6 | 5 (12.5) | 0 (0) | 5 (9.1) |
| 7 | 4 (10) | 4 (26.7) | 8 (14.5) |
| 8 | 6 (15) | 3 (20) | 9 (16.4) |
| 9 | 5 (12.5) | 0 (0) | 5 (9.1) |
| 10 (least deprived) | 3 (7.5) | 0 (0) | 3 (5.5) |
| Prefer not to say | 0 (0) | 1 (6.7) | 1 (1.8) |
| Social complexity | |||
| Yes | 14 (35) | 0 (0) | 14 (25.5) |
| No | 25 (62.5) | 15 (100) | 40 (72.7) |
| Prefer not to say | 1 (2.5) | 0 (0) | 1 (1.8) |
| Self-monitoring of symptoms | |||
| Yes | 20 (50) | 4 (26.7) | 24 (43.6) |
| No | 20 (50) | 11 (73.3) | 31 (56.4) |
| Care provided by | |||
| Midwifery led | 21 (52.5) | 11 (73.3) | 32 (58.2) |
| Consultant led | 19 (47.5) | 4 (26.7) | 23 (41.8) |
| Personal/household high-risk status for COVID-19 | |||
| Yes | 8 (20) | 4 (26.7) | 12 (21.8) |
| No | 32 (80) | 11 (73.3) | 43 (78.2) |
| Identification of candidacy | Appearances at health services | Intercultural dissonance |
|---|---|---|
| There was a lot of misinformation. I didn’t feel clued up at all and I’m a very clued up person. I do research that stuff and I do ask questions. And yes, nothing was clear at all. – W002 | But that had been moved to Zoom. So we had to try and manoeuvre a device with a camera on it to film our daughter trying to latch and then show it to the breastfeeding consultant. She was very good, but she wasn’t very computer literate and so that whole thing was quite fraught. – P010 | But my mother-in-law was not very helpful talking about breastfeeding. She used to just say, “Oh I had so much milk they used to choke on it,” that kind of thing which is not very helpful. – W021 |
| Permeability of services | Adjudication | Hostile bureaucracy |
|---|---|---|
| During that appointment then it was really nice because it was like a video call. We could see her, she could see us. And so even though we couldn't see each other face to face, we were still able to get to know her and she asked us lots of questions as well. So again, it felt like we were in good hands. – W005 | So, we passed the due date when she went into labour and then so we did the normal thing, phoned the helpline and they said ‘okay, stay at home until the contractions reach a certain pitch and tempo.’ And at that point we drove to the hospital and again, I had to wait in the car while my partner went in, had to walk in while having contractions. And then wasn’t admitted and sent out again and we went home. And we ended up going to the hospital three times before she was eventually admitted. And I think the reason that it took so many times is that the only thing that they were measuring was dilation. So my partner wasn’t dilating, even though her labour was progressing in other respects. So it was only the third time that we went in, when actually the shift pattern of the attending nurses had come back round and there was a nurse who had been there the first time, who realised actually, you shouldn’t still be at this point of the process. And then they started to look for other factors and then we were admitted quite quickly after that. – P010 | We were at [hospital] so there were quite a lot of women who were being taken outside who did not speak English, they were not allowed to bring their husbands in or partners in and they were being given bad news. – W020 |
| Navigation | Offers and resistance | Operating conditions and the local production of candidacy |
|---|---|---|
| I wasn’t expecting not to have a midwife. So I think at that booking appointment, which takes place around 10 or 11 weeks, there was, I think, nobody in the midwife role at my GP surgery. So if I had any questions or concerns, I didn't really have anywhere to go to. And I think whilst people did their best, I just sort of didn't really belong to anyone, and I think that’s why I think for some of the appointments I ended up going to different doctor’s surgeries that weren't my own to be seen by just, you know, somebody that was available. – W003 | I think generally because we’d been through this loop a few times, we didn't really engage with the GP services because there’s no point. Just go straight to the midwives. – P007 | I was devastated at giving formula because that wasn't my plan, but also there were shortages. So, you were having to drive around supermarkets trying to find the formula that you could get. You couldn’t get anything. – W030 |
- —http://dx.doi.org/10.13039/501100000272National Institute for Health and Care Research
- —http://dx.doi.org/10.13039/501100002001Health Services and Delivery Research Programme
- —http://dx.doi.org/10.13039/501100000269Economic and Social Research Council
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Taxonomy
TopicsCOVID-19 Impact on Reproduction · Maternal and Perinatal Health Interventions · Maternal Mental Health During Pregnancy and Postpartum
Introduction
In the UK, there are a minimum of nine antenatal care (ANC) visits recommended, with 12 recommended for primiparous women. ANC visits allow for exchange of essential information, establishment of a trusting relationship between women and healthcare professionals (HCPs), risk assessment and management of potential pregnancy complications.1 2 It is essential to the health and well-being of mothers and babies that ANC attendance is timely and experienced positively. Positive care experiences (such as access to information, involvement in decision-making over care and birth, feeling listened to and confidence in care providers) are associated with better pregnancy outcomes.3
During the pandemic health-system shock, the UK National Health Service (NHS) implemented substantial maternity service reconfiguration: fewer ANC appointments; a shift of some ANC visits to virtual delivery46; restrictions on fathers, partners and non-gestational parents from attending ANC appointments and sometimes, labour and the postpartum ward,79 as well as limitations on choice of place and mode of birth.10 Additionally, there was widespread uncertainty around rapidly changing guidelines, including the risk to pregnant women and the advisability of COVID-19 vaccination when it became available11 12; along with strict ‘stay at home and protect the NHS’ advertisements on social media platforms.13 As such, there was a contemporaneous reduction in ANC attendance,14 increased mental health concerns,15 16 higher rates of stillbirth17 18 and poor experiences of maternity care in general.19 20
Most research on maternity care-seeking has measured utilisation of services, without evaluating experiences of care and the potential impact on care-seeking of social, cultural and economic factors.2123 The theoretical construct of ‘candidacy’ described by seven factors considers the decision to seek care as a process of continual joint negotiation between service-users and service-providers, in the context of the wider health system.24 Successful care access requires considerable work for service-users, who are likely to be deterred by difficult and complex access,22 24 or when there is a lack of alignment between expectations of care and provision of that care. 22 24A qualitative systematic review by our team of 51 studies (1347 participants) describing marginalised women’s care-seeking during pregnancy in high-income countries brought forth two additional themes of ‘intercultural dissonance’ and ‘hostile bureaucracy’ to capture the experiences of migrants (including refugees and asylum seekers), who face greater and unique barriers to care engagement in host countries.25
Using the theoretical lens of an expanded Candidacy framework, we sought to explore the lived experiences of care-seeking and care-receipt, of women and partners who utilised maternity care services during the pandemic, as a model of a health system shock, and with a focus on those from marginalised groups or experiencing social or medical complexity.
Methods
Full details of the qualitative methodologies in the RESILIENT study have been published.26
In brief, women, partners, HCPs and policy-makers were recruited using a random purposive sampling strategy for in-depth interviews (IDIs) using a semistructured guide (see online supplemental file 1), conducted between May 2022 and February 2023 (by TD and HB both female researchers experienced in qualitative research). This paper presents data related to women and partners; interviews with HCPs and policymakers will be analysed and published separately. Interested individuals were asked to contact the research team directly, who assessed their eligibility; none were known to the research team. All who expressed interest were deemed eligible, and as such, no one was approached by the research team and there were no refusals. Those who were pregnant or who had partners who were pregnant or postpartum in the UK, and who utilised NHS maternity care during the pandemic, were eligible. Women and partners were interviewed separately; partners interviewed in this study were not the partners of the women who participated. Targeted sampling criteria were used to achieve diversity across ethnic minorities, deprivation status, geographic areas across the UK, and social and medical complexity. We sought to recruit a sample that was representative of the population of the UK, rather than solely individuals from marginalised groups. Social complexity was self-identified by participants and included: lack of social support, mental health problems or belonging to a minority group relating to sexual orientation or gender identity. Medical complexity was defined as having had to perform self-monitoring of symptoms during pregnancy for any complication, including hypertension, gestational diabetes, additional scans for predisposition to genetic complications or previous pregnancy loss. We sought information on participants’ lived experiences during the pandemic health-system shock, specifically: seeking maternity care, receiving said care, support from partners, availability of information and adapting to rapidly changing guidelines. Recruitment ceased once sufficient diversity across the prespecified participant characteristics had been achieved, and as such in expected lived experience.
Transcripts were analysed using Template Analysis27 methodology, according to the extended version of the Candidacy framework25 as the initial coding template (table 1) on NVivo qualitative research software. This theoretical framework, designed specifically for marginalised groups, describes how the eligibility and consequently use of healthcare services is continually and jointly negotiated between the individual and the healthcare system.24 This extension consisted of an additional two factors to the Candidacy framework’s original seven,24 which have been classified as individual-level, health-system-level or joint-level factors. However, interview topic guides did not directly ask about participants’ immigration history or its impact on their pregnancy, thereby resulting in limited data pertaining to these constructs.
Patient and public involvement
The RESILIENT Study benefitted from a Patient and Public Involvement and Engagement Advisory Group (PPIE-AG; n=15) and a Technical Advisory Group (n=19), both UK-wide, who periodically reviewed data analysis and interpretation. Named PPIE members (TS, YB and MP) were involved in validating findings and reviewing this manuscript.
Results
Semistructured IDIs (n=55) were conducted with women (n=40) and partners (n=15); table 2 presents participant characteristics. The median age of participants was 36 years (range of 23–44 years). Most identified as female (n=41; 74.5%) and were heterosexual (n=47, 85.5%), but there was representation from bisexual, lesbian and gay participants. Most participants (n=31; 56%), self-identified as White or White British, with 11% as Asian or Asian British, 18% as Black or Black British, 11% as Mixed or multiple ethnicities, 4% as any other ethnicity, and 1% who preferred not to disclose their ethnicity. While over 50% of the participants identified as White/White British, our study sample overrepresented minority ethnicity groups as compared with the national census.28 Almost half (n=26; 47%) of women and partners utilised maternity services in London, with 38% accessing those services elsewhere in England, and between 4% and 6% in each of Wales, Scotland and Northern Ireland. among women and partners, 25% reported at least one aspect of social complexity, and 44% reported medical complexity which required self-monitoring. Only one participant reported not having English as their first language. Care was provided by midwife-led or obstetrician-led teams.
Qualitative results are presented below, with participant quotations supporting each of the 7+2 constructs of the extended Candidacy framework presented in tables35: women’s quotations indicated by the prefix ‘W’ and partners with prefix ‘P’, and each having a unique numerical suffix.
Individual-level constructs
Identification of candidacy
Identifying the need for seeking maternity care during the pandemic was characterised by uncertainty and a lack of information. Partners were concerned about the well-being of both mother and baby but reported being helpless to act. Participants struggled to know when to assert their candidacy for care. Women reported not knowing when or how to identify signs of concern, both during pregnancy, as well as postnatally, or knowing when to request additional consultations. They cited concerns over missed opportunities to pick up complications due to lack of face-to-face visits. Participants who were able to afford it felt the need to resort to seeking private maternity care rather than relying on routine NHS care to alleviate concerns; the latter was deemed to be insufficient and of poor quality. This was particularly true in cases with previous pregnancy loss or complications. Some participants preferred to transfer their care to specialist clinics, far away from home, to feel reassured they were receiving the best care possible.
Appearance at health services
Asserting a claim to candidacy by sufficiently describing symptoms and the urgency for care was difficult during virtual appointments. Loss of body language in communication and lack of sufficient knowledge of English, as reported by one participant, exacerbated the problem; due to an over-reliance on using the correct words and medical terminology rather than relying on body language and movements. Similarly for partners, being kept out of appointments made them feel lost and unable to assert a claim. Participants highlighted the need to fight for their claim to candidacy, and having to repeatedly advocate for themselves and the care they wanted to receive. Reduced interaction with HCPs during this period highlighted the need for women and their partners to act as advocates. On the other hand, it was also easier for women to hide or downplay the extent of their poor mental health and need for intervention, if they were not visibly struggling on the day of the appointment.
Intercultural dissonance
The added construct of intercultural dissonance described additional barriers faced by women and partners who have a migrant background and may have different cultural norms, thereby finding it more difficult to navigate the host country’s health system and make a claim for candidacy. Differences between cultures and generational attitudes were negatively perceived by HCPs, and women felt they were treated differently based on their ethnicity. On the other hand, one partner was concerned their background had not been taken into consideration sufficiently. They also felt they could not speak up without being reprimanded or offered poorer quality of care.
Health system-level constructs
Permeability of services
Maternity service reconfiguration due to pandemic circumstances led to removal of some barriers to access and institution of others. Virtual delivery of care was a positive experience for some women, making it easier to attend appointments, removing transportation costs and allowing partners to be an active participant in the appointment. However, for others, long wait times and poor internet connectivity made it harder to access care virtually. Restrictions on partners at all points of care caused a great deal of distress for women. Some were unable to comprehend all information provided and ask informative questions without a second person present. When partners were allowed to be present during labour and birth, most hospitals placed strict restrictions on visiting hours postpartum. Women had to handle taking care of their newborn baby alone, in a state of exhaustion and heightened emotions immediately after giving birth. They also had to deal with potentially receiving bad news alone during ultrasound appointments, which was particularly detrimental to those with a previous pregnancy loss.
Adjudication
HCPs’ judgements and disregard of women’s and partner’s opinions impacted experience of care and whether care was sought, sometimes leading to fatal outcomes. Others felt abandoned after birth when HCPs were unable to assess their need for continued support. Women also reported struggling with adjudications made about vaccination (against COVID-19) and receiving a dose while pregnant. These difficult conversations with HCPs led to some women feeling coerced into getting the vaccine, even though they had outstanding concerns.
Hostile bureaucracy
This construct relates to policies and bureaucratic procedures in the host country, both in and outside of healthcare, that impose additional barriers and are more likely to impact individuals with a migrant background. Some women who did not speak English (self-identified as a social complexity factor) well were not provided with interpreters, even when receiving upsetting news. Others felt the onus was on them to arrange for an interpreter or a family member who could speak English, although they were falling short. For those who had no family in the UK, immigration and travel restrictions during the pandemic proved particularly isolating, as family members were unable to be present for the birth or to help take care of the baby.
Joint-level constructs
Navigation
Rapid reconfiguration of services during the pandemic made an already complex maternity care system more difficult to navigate, particularly for those with medical and social complexity. The quality of services and women’s experience of care were variable and largely dependent on the specific service and individual HCPs. Sometimes women were lucky enough to have a well-organised hospital in their area and thus had a positive experience navigating their maternity appointments. Some services simply stopped. When unable to receive the care they wanted, women were burdened to find a hospital which would provide better care, often leading to problems with transportation. Strict restrictions on involvement of partners at all points of care, along with ever-changing guidelines, led to confusion for many participants, particularly as they varied between different NHS Trust hospitals.
Offers and resistance
Negative experiences, both in previous and current (at the time of interview) pregnancies, caused women and partners to reject offers of care, or bypass specific services. Care was refused when perceived as a check-box exercise and a waste of time. During lockdown periods with strict infection control restrictions, women raised concerns over the quality of care offered. On the other hand, sometimes women were afraid to refuse offers of care for fear of judgement, and so they acquiesced, even though their feelings were disregarded. Women also resisted offers of care to regain control over their pregnancies which was largely lost during the pandemic due to restrictions and disjointed guidelines and messaging. When not in alignment with what they wanted, those women who were financially able to refused NHS care and sought private services.
Operating conditions and the local production of candidacy
Local operating conditions outside the health system influenced candidacy for and experience of care, both positively and negatively. The shortage of essentials in supermarkets and the associated media coverage led to anxiety for mothers who relied on formula to feed their baby. Vulnerability was forced on pregnant women, in the messaging of official guidelines and news reports. People were encouraged to only attend services if absolutely essential. Participants acutely felt the loss of the social side of pregnancy, as mother and baby groups were immediately shut down during the pandemic. Conversely, local regulations such as most employers encouraging working from home allowed some partners to be more present and spend time with the baby. Local allocation of resources, often vastly unequal between different areas of the UK, strongly impacted overall care experience and what services were offered to pregnant women, reducing their choice and control over care.
Discussion
Main findings
Our findings call for a multilevel approach to plan maternity care for future health-system shocks. This large qualitative study of women and partners’ experience of accessing and utilising maternity care during a health-system shock shows eligibility for healthcare is influenced by multiple overlapping complex factors at the individual, health system and joint level.
At the individual level, service users cited concerns over missed opportunities to identify complications due to the lack of in-person care. Loss of body language cues made it difficult for people to sufficiently describe their concerns. Both women and partners highlighted the increased need to advocate for themselves, particularly partners who were kept out of most appointments. Cultural differences were perceived negatively, and some women felt they could not advocate for themselves for fear of being reprimanded.
At the health system level, maternity service reconfigurations led to removal of some barriers to access and institution of others. Virtual care provided flexibility for some, but issues with using digital technology proved problematic for others. Without a birth partner present, women often had to receive bad news and process information alone and did not have any help caring for the newborn while in hospital. Provision of interpreters was also limited and difficult to achieve on remote consultations.
At the joint level, confusing guidance for pregnant women and rapidly changing hospital guidance made a complex system even harder to navigate. Service provision varied between different areas of the UK, reducing women’s choice and control over care. Consequently, many refused or resisted offers of care, choosing not to engage with specific services or seeking private services instead.
Interpretation
The findings of this study are coherent with those of a systematic review conducted by our team on care-seeking during pregnancy among women with multiple social risk factors, in high-income countries globally, which found barriers to be centred around a loss of autonomy and dignity; lack of informed choice and decision-making; poor trust in and relationship with HCPs; differences between healthcare systems and cultures; and systemic barriers such as lack of interpreters.25 Similar to this paper, the review of 51 studies demonstrated barriers were multilevel; the majority of themes related to the joint-level factors, while limited studies showed individual-level constraints.
With respect to ‘offers and resistance’ this paper refutes an existing study of service users’ experiences of virtual maternity care in the UK during the pandemic, where authors found no data supporting this Candidacy construct i.e. no participants refused or resisted the care they were offered.22 A key difference between the two studies is the time frame of data collection, wherein our study included experiences across the duration of the pandemic (May 2022–February 2023) while theirs included data from March to September 2020, covering only the first 7 months of the pandemic which were characterised by acute crises and lack of information and guidance. This raises an interesting question about whether service users’ acceptance of care, when it was perceived to be less-than-optimal, and particularly in the way it was delivered during a health-system shock, decreased over time. In the early period of the pandemic, there was a sense of camaraderie and support from the community with support for frontline workers who were risking their lives to continue providing medical care, motivated by social campaigns such as ‘Clap for our Carers’.29 However, these feelings of solidarity may have diminished as the pandemic continued, and circumstances got worse.
We found women and partners had to increasingly advocate for themselves in order to receive the care they wanted, some who felt they were not able to do so for fear of being reprimanded and treated poorly, some feeling abandoned by the healthcare system. The restrictions on birth partners or additional people who could advocate on their behalf further compounded this problem, which has been reported in other work.30 Similar to our work, others have found human rights not being upheld and HCPs’ behaviour to be a barrier that prevented access.31 Our participants also described experiencing a ‘postcode lottery’ of maternity services32 characterised by significant discrepancies in quality and availability of services between different NHS Trusts and hospitals, in some cases making it harder for them to access high-quality care close to home. As such, service users, who were financially able, reported turning to private maternity services to supplement routine NHS care, such as additional ultrasound scans and postpartum lactation consultations. Researchers have found women choosing private midwifery care for ‘peace of mind’ and continuity of care, which were unavailable through public services,33 similar to our findings. This poses a real problem of pushing out women from lower socio-economic groups who may not be able to pay for private care, thereby widening pre-existing health inequalities.34
Our findings show a multilevel approach is necessary to tackle existing inequalities in access and experiences of maternity as prioritised in the Women’s Health Strategy for England.35 NHS maternity services were found to be increasingly difficult to navigate during the pandemic due to confusing and ever-changing guidance which led to widespread uncertainty. Other research supports our findings, also finding women resorted to obtaining information from friends and family instead5 due to limited confidence in HCPs.36 Ensuring clear and cohesive information and guidance will be instrumental in fostering trust between service users and HCPs and consequently enabling positive experiences and access, in planning for future health-system shocks. A personalised approach to implementation of digital modalities of care should be considered, taking into consideration each individual’s capacity to participate as it increases flexibility and access for some, but has the potential to exacerbate inequalities and digital exclusion for others.22 While our study also found a lack of cultural humility and competency among HCPs, it is important to acknowledge that amidst widespread pandemic-related service configurations, most HCPs were overworked, under-resourced and traumatised, making it extremely difficult to prioritise nuanced, person-centred care.37 The maternity workforce needs to be supported routinely with improved and widely available training and development that prioritises culturally competent care. Such programmes in the UK and other European countries have been viewed favourably to improve midwives’ knowledge, skills and self-perceived cultural competency.38 Finally, underpinning all future planning of maternity services is co-production with service users and local stakeholders,39 along with leveraging local organisational strengths through Maternity Voices Partnerships.40 However, MVP representation remains variable across the country and has limited ability to capture the voice of those hidden from the system, such as many migrant or homeless women.41 This calls for the need to strengthen inclusive and equitable engagement in co-production and better representation of underserved communities.
Strengths, limitations and future directions
This study benefitted from a large and diverse participant sample of women and partners, a significant proportion belonging to ethnic minorities, high deprivation status, representation from gender and sexual minorities, and people with social complexity. We were able to include perspectives from across the UK, including the devolved nations, where guidelines were different from those in England. However, it is important to note individuals who participate in research are more likely to be early adopters and generally have a positive, or at least neutral, perception of healthcare.42 43 These reflections may not be shared by those who distrust the NHS and do not attend or seek care, unless absolutely necessary. We did not capture specific demographic information on housing precarity, insecure immigration status, caregiving burden and severe social risk such as domestic violence or incarceration, choosing instead to have participants self-identify social complexity. Although some of these social risk factors (e.g. migration status, caregiving burden) were discussed by participants during interviews, we may have inadvertently excluded those with the greatest barriers. By having a long period of recruitment, we gathered data on experiences across the pandemic lockdowns and when restrictions had been relaxed, including full implementation of the vaccine. Methodologically, analysing qualitative data through the theoretical framework of Candidacy allowed us to investigate multi-faceted and system-level factors that impact service users’ experience and eligibility for care. Furthermore, by testing the two new constructs of the extended Candidacy framework, we were able to assess the validity of these constructs in empirical research, which proved to hold true. However, as we did not specifically ask about participants’ immigration status or its impact on healthcare utilisation, data were limited, providing opportunities for future research.
Conclusions
Maternity service reconfigurations implemented for safety during health-system shocks have significantly impacted women and their partners’ experience and ability to access care; and thus, should be carefully considered in future planning of equitable maternity services. Our study suggests that a multi-level approach which considers individual, health system and joint-level factors would be most impactful to garner change. By exploring the perspectives of both women and partners from a range of backgrounds across the UK, we have identified a set of overlapping and multifaceted barriers that need to be addressed in policy and practice to improve access to and experience of care for people with complex social and medical risk factors.
Supplementary material
10.1136/bmjph-2025-004303online supplemental file 1
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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