How are hospitals in England caring for women at risk of preterm birth in 2021? The influence of national guidance on preterm birth care in England: a national questionnaire.

BACKGROUND: National guidance (Saving Babies Lives Care Bundle Version 2 (SBLCBv2) Element 5) was published in 2019, with the aim to standardise preterm care in England. We plan to identify how many preterm birth surveillance clinics there are in England, and to define current national management in caring for women who are both asymptomatic and high-risk of preterm birth, and who arrive symptomatically in threatened preterm labour, to assist preterm management both nationally and internationally. METHODS: An online survey comprising of 27 questions was sent to all maternity units in England between February 2021 to July 2021. RESULTS: Data was obtained from 96 units. Quantitative analysis and free text analysis was then undertaken. We identified 78 preterm birth surveillance clinics in England, an increase from 30 preterm clinics in 2017. This is a staggering 160% increase in 4 years. SBLCBv2 has had a considerable impact in increasing preterm birth surveillance clinic services, with the majority (61%) of sites reporting that the NHS England publication influenced their unit in setting up their clinic. Variations exist at every step of the preterm pathway, such as deciding which risk factors warrant referral, distinguishing within particular risk factors, and offering screening tests and treatment options. CONCLUSIONS: While variations in care still do persist, hospitals have done well to increase preterm surveillance clinics, under the difficult circumstances of the COVID pandemic and many without specific additional funding.

Evaluating the use of the QUiPP app and its impact on the management of threatened preterm labour: A cluster randomised trial.

BACKGROUND: Preterm delivery (before 37 weeks of gestation) is the single most important contributor to neonatal death and morbidity, with lifelong repercussions. However, the majority of women who present with preterm labour (PTL) symptoms do not deliver imminently. Accurate prediction of PTL is needed in order ensure correct management of those most at risk of preterm birth (PTB) and to prevent the maternal and fetal risks incurred by unnecessary interventions given to the majority. The QUantitative Innovation in Predicting Preterm birth (QUIPP) app aims to support clinical decision-making about women in threatened preterm labour (TPTL) by combining quantitative fetal fibronectin (qfFN) values, cervical length (CL), and significant PTB risk factors to create an individualised percentage risk of delivery. METHODS AND FINDINGS: EQUIPTT was a multi-centre cluster randomised controlled trial (RCT) involving 13 maternity units in South and Eastern England (United Kingdom) between March 2018 and February 2019. Pregnant women (n = 1,872) between 23+0 and 34+6 weeks' gestation with symptoms of PTL in the analysis period were assigned to either the intervention (762) or control (1,111). The mean age of the study population was 30.2 (+/- SD 5.93). A total of 56.0% were white, 19.6% were black, 14.2% were Asian, and 10.2% were of other ethnicities. The intervention was the use of the QUiPP app with admission, antenatal corticosteroids (ACSs), and transfer advised for women with a QUiPP risk of delivery >5% within 7 days. Control sites continued with their conventional management of TPTL. Unnecessary management for TPTL was a composite primary outcome defined by the sum of unnecessary admission decisions (admitted and delivery interval >7 days or not admitted and delivery interval ≤7 days) and the number of unnecessary in utero transfer (IUT) decisions/actions (IUT that occurred or were attempted >7 days prior to delivery) and ex utero transfers (EUTs) that should have been in utero (attempted and not attempted). Unnecessary management of TPTL was 11.3% (84/741) at the intervention sites versus 11.5% (126/1094) at control sites (odds ratio [OR] 0.97, 95% confidence interval [CI] 0.66-1.42, p = 0.883). Control sites frequently used qfFN and did not follow UK national guidance, which recommends routine treatment below 30 weeks without testing. Unnecessary management largely consisted of unnecessary admissions which were similar at intervention and control sites (10.7% versus 10.8% of all visits). In terms of adverse outcomes for women in TPTL <36 weeks, 4 women from the intervention sites and 12 from the control sites did not receive recommended management. If the QUiPP percentage risk was used as per protocol, unnecessary management would have been 7.4% (43/578) versus 9.9% (134/1,351) (OR 0.72, 95% CI 0.45-1.16). Our external validation of the QUiPP app confirmed that it was highly predictive of delivery in 7 days; receiver operating curve area was 0.90 (95% CI 0.85-0.95) for symptomatic women. Study limitations included a lack of compliance with national guidance at the control sites and difficulties in implementation of the QUiPP app. CONCLUSIONS: This cluster randomised trial did not demonstrate that the use of the QUiPP app reduced unnecessary management of TPTL compared to current management but would safely improve the management recommended by the National Institute for Health and Care Excellence (NICE). Interpretation of qfFN, with or without the QUiPP app, is a safe and accurate method for identifying women most likely to benefit from PTL interventions. TRIAL REGISTRATION: ISRCTN Registry ISRCTN17846337.

CRAFT (Cerclage after full dilatation caesarean section): protocol of a mixed methods study investigating the role of previous in-labour caesarean section in preterm birth risk.

BACKGROUND: Full dilatation caesarean sections are associated with recurrent early spontaneous preterm birth and late miscarriage. The risk following first stage caesarean sections, are less well defined, but appears to be increased in late-first stage of labour. The mechanism for this increased risk of late miscarriage and early spontaneous preterm birth in these women is unknown and there are uncertainties with regards to clinical management. Current predictive models of preterm birth (based on transvaginal ultrasound and quantitative fetal fibronectin) have not been validated in these women and it is unknown whether the threshold to define a short cervix (≤25 mm) is reliable in predicting the risk of preterm birth. In addition the efficacy of standard treatments or whether benefit may be derived from prophylactic interventions such as a cervical cerclage is unknown. METHODS: There are three distinct components to the CRAFT project (CRAFT-OBS, CRAFT-RCT and CRAFT-IMG). CRAFT-OBS: Observational Study; To evaluate subsequent pregnancy risk of preterm birth in women with a prior caesarean section in established labour. This prospective study of cervical length and quantitative fetal fibronectin data will establish a predictive model of preterm birth. CRAFT-RCT: Randomised controlled trial arm; To assess treatment for short cervix in women at high risk of preterm birth following a fully dilated caesarean section. CRAFT-IMG: Imaging sub-study; To evaluate the use of MRI and transvaginal ultrasound imaging of micro and macrostructural cervical features which may predispose to preterm birth in women with a previous fully dilated caesarean section, such as scar position and niche. DISCUSSION: The CRAFT project will quantify the risk of preterm birth or late miscarriage in women with previous in-labour caesarean section, define the best management and shed light on pathological mechanisms so as to improve the care we offer to women and their babies. TRIAL REGISTRATION: CRAFT was prospectively registered on 25th November 2019 with the ISRCTN registry ( https://doi.org/10.1186/ISRCTN15068651 ).

EQUIPTT: The Evaluation of the QUiPP app for Triage and Transfer protocol for a cluster randomised trial to evaluate the impact of the QUiPP app on inappropriate management for threatened preterm labour.

BACKGROUND: Accurate diagnosis of preterm labour is needed to ensure correct management of those most at risk of preterm birth and to prevent the maternal and fetal risks incurred by unnecessary interventions given to the large majority of women, who do not deliver within a week of presentation. Intervention "just-in-case" results in many avoidable admissions, women being transferred out of their local hospital unnecessarily and most women receiving unwarranted drugs, such as steroids and tocolytics. It also precludes appropriate transfers for others as neonatal cots are blocked pre-emptively, resulting in more dangerous ex-utero transfers. We have developed the QUiPP App which is a clinical decision-making aid based on previous outcomes of women, quantitative fetal fibronectin (qfFN) values and cervical length. It is hypothesised that using the QUiPP app will reduce inappropriate admissions and transfers. METHODS: A multi-site cluster randomised trial will evaluate whether the QUiPP app reduces inappropriate management for threatened preterm labour. The 13 participating centres will be randomly allocated to receive either intervention or control. If the QUiPP app calculates risk of delivery within 7 days to be is less than 5%, clinicians are advised that interventions may be withheld. Women's experience of threatened preterm labour assessment will be explored using self-completed questionnaires, with a subset of participants being invited to semi-structured interview. A health economics analysis is also planned. DISCUSSION: We hypothesise that the QUiPP app will improve identification of the most appropriate women for admission and transfer and ensure that therapies known to reduce risk of preterm neonatal morbidities are offered to those who need them. We will determine which women do not require these therapies, thereby reducing over-medicalisation and the associated maternal and fetal risks for these women. The findings will inform future national guidelines on threatened preterm labour. Beyond obstetrics, evaluating the impact of an app in an emergency setting, and our emphasis on balancing harms of over-treatment as well as under-treatment, make EQUIPTT a valuable contribution to translational medicine. TRIAL REGISTRATION: The EQUIPTT trial was prospectively registered on 16th January 2018 with the ISRCTN registry (no. 17846337 ).

IMplementation of the Preterm Birth Surveillance PAthway: a RealisT evaluation (The IMPART Study).

BACKGROUND: In the UK, 7.6% of babies are born preterm, which the Department of Health aims to decrease to 6% by 2025. To advance this, NHS England released Saving Babies Lives Care Bundle Version 2 Element 5, recommending the Preterm Birth Pathway for women at risk of preterm birth. The success of this new pathway depends on its implementation. The IMPART (IMplementation of the Preterm Birth Surveillance PAthway: a RealisT evaluation) study aimed to research how, why, for whom, to what extent and in what contexts the prediction and prevention aspects of Preterm Birth Surveillance Pathway is implemented through a realist evaluation. Realist implementation studies are growing in popularity. METHODS: Initial programme theories were developed through a realist informed literature scope, interviews with developers of the NHS England guidance, and a national questionnaire of current practice. Implementation theory was utilised in developing the programme theories. Data (interviews and observations with staff and women) were undertaken in 3 case sites in England to 'test' the programme theories. Substantive theory was utilised during data analysis to interpret and refine the theories on how implementation could be improved. RESULTS: Three explanatory areas were developed: risk assessing and referral; the preterm birth surveillance clinic; and women centred care. Explanatory area 1 dealt with the problems in correct risk assessment and referral to a preterm clinic. Explanatory area 2 focused on how once a correct referral has been made to a preterm clinic, knowledgeable and supported clinicians can deliver a well-functioning clinic. Explanatory area 3 concentrated on how the pathway delivers appropriate care to women. CONCLUSIONS: The IMPART study provides several areas where implementation could be improved. These include educating clinicians on knowledge of risk factors and the purpose of the preterm clinic, having a multidisciplinary preterm team (including a preterm midwife) with specialist preterm knowledge and skills (including transvaginal cervical scanning skills), and sites actively working with their local network. This multidisciplinary preterm team are placed to deliver continuity of care for women at high-risk of preterm birth, being attentive to their history but also ensuring they are not defined by their risk status. TRIAL REGISTRATION: ISRCTN57127874.

Protocol for the IMPART study: IMplementation of the preterm birth surveillance PAthway - a RealisT evaluation.

INTRODUCTION: New guidance, from NHS England (Saving Babies Lives Care Bundle Version 2 Element 5 (SBLCBv2)) has recommended a best practice pathway for women at risk of preterm birth (the Preterm Birth Pathway). This is to help meet the Department of Health's aim to reduce preterm birth from 8% to 6% by 2025. Considering most hospitals do not currently have a preterm prevention clinic, implementing this pathway will require significant coordination. METHODS AND ANALYSIS: The study will aim to investigate key features of contexts, mechanisms and outcomes, and their interactions in the implementation of the asymptomatic prediction and prevention components of the SBLCBv2 Preterm Birth Surveillance Pathway. This will be through a theory driven realist evaluation, utilising mixed methods (interviews with staff and women, observational analysis and analysing routinely collected hospital and admin data) in three case sites in England. The study has a Project Advisory Group composed of five women who have recently given birth. ETHICS AND DISSEMINATION: The study has ethical approval (King's College London REC approval number: MRSP-20/21-20955, and, IRAS:289144). A dissemination plan will be fully created with the Project Advisory Group, and we anticipate this will include presenting at conferences, publications, webinars, alongside dissemination to the wider population through parent and baby groups, the media and charities. TRIAL REGISTRATION NUMBER: ISRCTN57127874.

Development and rapid rollout of The QUiPP App Toolkit for women who arrive in threatened preterm labour.

BACKGROUND: Often the first opportunity for clinicians to assess risk of preterm birth is when women present with threatened preterm labour symptoms (such as period-like pain, tightening's or back ache). However, threatened preterm labour symptoms are not a strong predictor of imminent birth. Clinicians are then faced with a complex clinical dilemma, the need to ameliorate the consequences of preterm birth requires consideration with the side-effects and costs. The QUiPP app is a validated app which can aid clinicians when they triage a women who is in threatened preterm labour. AIM: Our aim was to produce a toolkit to promote a best practice pathway for women who arrive in threatened preterm labour. METHODS: We worked with two hospitals in South London. This included the aid of a toolkit midwife at each hospital. We also undertook stakeholder focus groups and worked with two Maternity Voice Partnership groups to ensure a diverse range of voices was heard in the toolkit development. While we aimed to produce the toolkit in September 2020, we rapidly rolled out and produced the first version of the toolkit in April 2020 due to COVID-19. As the QUiPP app can reduce admissions and hospital transfers, there was a need to enable all hospitals in England to have access to the toolkit as soon as possible. RESULTS: While the rapid rollout of The QUiPP App Toolkit due to COVID-19 was not planned, it has demonstrated that toolkits to improve clinical practice can be produced promptly. Through actively welcoming continued feedback meant the initial version of the toolkit could be continually and iteratively refined. The toolkit has been recommended nationally, with National Health Service England recommending the app and toolkit in their COVID-19 update to the Saving Babies Lives Care Bundle and in the British Association of Perinatal Medicine Antenatal Optimisation Toolkit.

All the right moves: why in utero transfer is both important for the baby and difficult to achieve and new strategies for change.

The best way to ensure that preterm infants benefit from relevant neonatal expertise as soon as they are born is to transfer the mother and baby to an appropriately specialised neonatal facility before birth (" in utero"). This review explores the evidence surrounding the importance of being born in the right unit, the advantages of in utero transfers compared to ex utero transfers, and how to accurately assess which women are at most risk of delivering early and the challenges of in utero transfers. Accurate identification of the women most at risk of preterm birth is key to prioritising who to transfer antenatally, but the administrative burden and pathway variation of in utero transfer in the UK are likely to compromise optimal clinical care. Women reported the impact that in utero transfers have on them, including the emotional and financial burdens of being transferred and the anxiety surrounding domestic and logistical concerns related to being away from home. The final section of the review explores new approaches to reforming the in utero transfer process, including learning from outside the UK and changing policy and guidelines. Examples of collaborative regional guidance include the recent Pan-London guidance on in utero transfers. Reforming the transfer process can also be aided through technology, such as utilising the CotFinder app. In utero transfer is an unavoidable aspect of maternity and neonatal care, and the burden will increase if preterm birth rates continue to rise in association with increased rates of multiple pregnancy, advancing maternal age, assisted reproductive technologies, and obstetric interventions. As funding and capacity pressures on health services increase because of the COVID-19 pandemic, better prioritisation and sustained multi-disciplinary commitment are essential to maximise better outcomes for babies born too soon.

Can common characteristics be identified as predictors for seasonal influenza vaccine uptake in pregnancy? A retrospective cohort study from a South London Hospital.

BACKGROUND: Complications due to influenza are contributory factors for maternal deaths in the United Kingdom (UK). Less than half of all pregnant women in the UK receive the influenza vaccination. Increasing immunisation rates for seasonal influenza in pregnant women must remain a public health priority. METHOD: A retrospective cohort study was undertaken, utilising the electronic health record of 4817 women who had given birth at a South London NHS Hospital from 1st January-31st December 2015. The data were then analysed to determine if there were any common characteristics of the women who received or did not receive the seasonal influenza vaccination. RESULTS: It was found that ethnic origin, age at booking, planned pregnancy, parity, and booking in the first trimester were significant predictors for receiving the seasonal influenza vaccination. Index of Multiple Deprivation Deciles, speaking English without a translator, and booking season were not clinically or statistically significant predictors for receiving the seasonal influenza vaccination. CONCLUSIONS: There are common characteristics that are associated with receiving and not receiving the seasonal influenza vaccination for women who gave birth in South London during 2015. These results could be useful to antenatal health professionals working in similarly diverse areas, and to influence the public health agenda. This research ascertains which women in the cohort did not receive the vaccination; future research should explore the factors which affect vaccine uptake and potential strategies to improve vaccination rates.