"She was there all the time". A qualitative study exploring how women at higher risk for preterm birth experience midwifery continuity of care.

PROBLEM: There is a paucity of research on experiences and views of women at higher risk of preterm birth of midwifery continuity of care. BACKGROUND: Midwifery continuity of care (MCoC) has been associated with improved maternal outcomes and with lower levels of preterm births and stillbirths. The majority of MCoC studies have focused on women without risk factors and little has been published on women with obstetric complexities. The aim of this study is to explore the views and experiences of women identified as a higher risk of preterm birth who have had continuity of care from midwives. DESIGN: Face-to-face, semi-structured interviews with 16 women identified as at increased risk of preterm birth and experienced continuity of midwifery care across pregnancy, birth and the postnatal period. Care had been provided by the pilot intervention group for the pilot study of midwifery practice in preterm birth including women's experiences (POPPIE) trial. FINDINGS: Women valued continuity of midwifery care across the care pathway and described the reassurance provided by having 24 h a day, seven days a week access to known midwives. Consistency of care, advocacy and accessibility to the team were described as the main factors contributing to their feelings of safety and control. KEY CONCLUSIONS: Recognising that known midwives were 'there all the time' made women feel listened to and actively involved in clinical decision making, which contributed to women feeling less stressed and anxious during their pregnancy, birth and early parenthood. When developing MCoC models for women with obstetric complexities: access, advocacy and time should be embedded to ensure women can build trusting relationships and reduce anxiety levels.

Characteristics associated with antenatally unidentified small-for-gestational-age fetuses: prospective cohort study nested within DESiGN randomized controlled trial.

OBJECTIVE: To identify the clinical characteristics and patterns of ultrasound use amongst pregnancies with an antenatally unidentified small-for-gestational-age (SGA) fetus, compared with those in which SGA is identified, to understand how to design interventions that improve antenatal SGA identification. METHODS: This was a prospective cohort study of singleton, non-anomalous SGA (birth weight < 10th centile) neonates born after 24 + 0 gestational weeks at 13 UK sites, recruited for the baseline period and control arm of the DESiGN trial. Pregnancy with antenatally unidentified SGA was defined if there was no scan or if the final scan showed estimated fetal weight (EFW) at the 10th centile or above. Identified SGA was defined if EFW was below the 10th centile at the last scan. Maternal and fetal sociodemographic and clinical characteristics were studied for associations with unidentified SGA using unadjusted and adjusted logistic regression models. Ultrasound parameters (gestational age at first growth scan, number and frequency of ultrasound scans) were described, stratified by presence of indication for serial ultrasound. Associations of unidentified SGA with absolute centile and percentage weight difference between the last scan and birth were also studied on unadjusted and adjusted logistic regression, according to time between the last scan and birth. RESULTS: Of the 15 784 SGA babies included, SGA was not identified antenatally in 78.7% of cases. Of pregnancies with unidentified SGA, 47.1% had no recorded growth scan. Amongst 9410 pregnancies with complete data on key maternal comorbidities and antenatal complications, the risk of unidentified SGA was lower for women with any indication for serial scans (adjusted odds ratio (aOR), 0.56 (95% CI, 0.49-0.64)), for Asian compared with white women (aOR, 0.80 (95% CI, 0.69-0.93)) and for those with non-cephalic presentation at birth (aOR, 0.58 (95% CI, 0.46-0.73)). The risk of unidentified SGA was highest among women with a body mass index (BMI) of 25.0-29.9 kg/m2 (aOR, 1.15 (95% CI, 1.01-1.32)) and lowest in those with underweight BMI (aOR, 0.61 (95% CI, 0.48-0.76)) compared to women with BMI of 18.5-24.9 kg/m2 . Compared to women with identified SGA, those with unidentified SGA had fetuses of higher SGA birth-weight centile (adjusted odds for unidentified SGA increased by 1.21 (95% CI, 1.18-1.23) per one-centile increase between the 0th and 10th centiles). Duration between the last scan and birth increased with advancing gestation in pregnancies with unidentified SGA. SGA babies born within a week of the last growth scan had a mean difference between EFW and birth-weight centiles of 19.5 (SD, 13.8) centiles for the unidentified-SGA group and 0.2 (SD, 3.3) centiles for the identified-SGA group (adjusted mean difference between groups, 19.0 (95% CI, 17.8-20.1) centiles). CONCLUSIONS: Unidentified SGA was more common amongst women without an indication for serial ultrasound, and in those with cephalic presentation at birth, BMI of 25.0-29.9 kg/m2 and less severe SGA. Ultrasound EFW was overestimated in women with unidentified SGA. This demonstrates the importance of improving the accuracy of SGA screening strategies in low-risk populations and continuing performance of ultrasound scans for term pregnancies. © 2022 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

A process evaluation of Promotional Guides used by health visitors to support men's transition to fatherhood: a qualitative study.

BACKGROUND: Health visitors play an important role in supporting new parents in their transition to parenthood. A programme known as the Promotional Guide system is used by many health visitors in England with mothers and fathers to support this transition, but there is little known about health visitors' views of the Promotional Guides, how they are used in practice or barriers to effective implementation with fathers. AIMS: The aim of this study was to explore the following: (1) health visitors' use of Promotional Guides with fathers, (2) health visitors' assessment of father's mental health and wellbeing and (3) facilitators and barriers to using Promotional Guides in practice. METHODS: A prospective observational cohort study and a process evaluation informed by the Medical Research Council guidance were conducted. A purposive sample of 11 health visitors was interviewed, and an additional seven were observed using the Promotional Guides in practice. Data were analysed using framework analysis. RESULTS: Five main themes were identified from interview and observational data as follows: (1) Enquiry into fathers' mental health, (2) Promotional Guides in practice, (3) health visitors' perceptions of the Promotional Guides system, (4) barriers to using Promotional Guides with fathers and (5) facilitators and recommendations for using Promotional Guides with fathers. This study identified a number of barriers and facilitators to the use of Promotional Guides with fathers. Recommendations were made for improving services for first-time fathers, implementing the Promotional Guide system with fathers and highlighting areas for future research. CONCLUSION: This study considered the acceptability, feasibility and fidelity of using the Promotional Guide programme with fathers from the health visitor's perspective. The findings provided an insight into health visitors' experiences of working with fathers, inquiring about men's mental health needs and their use of the Promotional Guides with men during the perinatal period.

Improving antenatal detection of small-for-gestational-age fetus: economic evaluation of Growth Assessment Protocol.

OBJECTIVE: To determine whether the Growth Assessment Protocol (GAP), as implemented in the DESiGN trial, is cost-effective in terms of antenatal detection of small-for-gestational-age (SGA) neonate, when compared with standard care. METHODS: This was an incremental cost-effectiveness analysis undertaken from the perspective of a UK National Health Service hospital provider. Thirteen maternity units from England, UK, were recruited to the DESiGN (DEtection of Small for GestatioNal age fetus) trial, a cluster randomized controlled trial. Singleton, non-anomalous pregnancies which delivered after 24 + 0 gestational weeks between November 2015 and February 2019 were analyzed. Probabilistic decision modeling using clinical trial data was undertaken. The main outcomes of the study were the expected incremental cost, the additional number of SGA neonates identified antenatally and the incremental cost-effectiveness ratio (ICER) (cost per additional SGA neonate identified) of implementing GAP. Secondary analysis focused on the ICER per infant quality-adjusted life year (QALY) gained. RESULTS: The expected incremental cost (including hospital care and implementation costs) of GAP over standard care was £34 559 per 1000 births, with a 68% probability that implementation of GAP would be associated with increased costs to sustain program delivery. GAP identified an additional 1.77 SGA neonates per 1000 births (55% probability of it being more clinically effective). The ICER for GAP was £19 525 per additional SGA neonate identified, with a 44% probability that GAP would both increase cost and identify more SGA neonates compared with standard care. The probability of GAP being the dominant clinical strategy was low (11%). The expected incremental cost per infant QALY gained ranged from £68 242 to £545 940, depending on assumptions regarding the QALY value of detection of SGA. CONCLUSION: The economic case for replacing standard care with GAP is weak based on the analysis reported in our study. However, this conclusion should be viewed taking into account that cost-effectiveness analyses are always limited by the assumptions made. © 2022 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

External validation of prognostic models to predict stillbirth using International Prediction of Pregnancy Complications (IPPIC) Network database: individual participant data meta-analysis.

OBJECTIVE: Stillbirth is a potentially preventable complication of pregnancy. Identifying women at high risk of stillbirth can guide decisions on the need for closer surveillance and timing of delivery in order to prevent fetal death. Prognostic models have been developed to predict the risk of stillbirth, but none has yet been validated externally. In this study, we externally validated published prediction models for stillbirth using individual participant data (IPD) meta-analysis to assess their predictive performance. METHODS: MEDLINE, EMBASE, DH-DATA and AMED databases were searched from inception to December 2020 to identify studies reporting stillbirth prediction models. Studies that developed or updated prediction models for stillbirth for use at any time during pregnancy were included. IPD from cohorts within the International Prediction of Pregnancy Complications (IPPIC) Network were used to validate externally the identified prediction models whose individual variables were available in the IPD. The risk of bias of the models and cohorts was assessed using the Prediction study Risk Of Bias ASsessment Tool (PROBAST). The discriminative performance of the models was evaluated using the C-statistic, and calibration was assessed using calibration plots, calibration slope and calibration-in-the-large. Performance measures were estimated separately in each cohort, as well as summarized across cohorts using random-effects meta-analysis. Clinical utility was assessed using net benefit. RESULTS: Seventeen studies reporting the development of 40 prognostic models for stillbirth were identified. None of the models had been previously validated externally, and the full model equation was reported for only one-fifth (20%, 8/40) of the models. External validation was possible for three of these models, using IPD from 19 cohorts (491 201 pregnant women) within the IPPIC Network database. Based on evaluation of the model development studies, all three models had an overall high risk of bias, according to PROBAST. In the IPD meta-analysis, the models had summary C-statistics ranging from 0.53 to 0.65 and summary calibration slopes ranging from 0.40 to 0.88, with risk predictions that were generally too extreme compared with the observed risks. The models had little to no clinical utility, as assessed by net benefit. However, there remained uncertainty in the performance of some models due to small available sample sizes. CONCLUSIONS: The three validated stillbirth prediction models showed generally poor and uncertain predictive performance in new data, with limited evidence to support their clinical application. The findings suggest methodological shortcomings in their development, including overfitting. Further research is needed to further validate these and other models, identify stronger prognostic factors and develop more robust prediction models. © 2021 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Clinicians' experiences of using and implementing a medical mobile phone app (QUiPP V2) designed to predict the risk of preterm birth and aid clinical decision making.

BACKGROUND: As the vast majority of women who present in threatened preterm labour (TPTL) will not deliver early, clinicians need to balance the risks of over-medicalising the majority of women, against the potential risk of preterm delivery for those discharged home. The QUiPP app is a free, validated app which can support clinical decision-making as it produces individualised risks of delivery within relevant timeframes. Recent evidence has highlighted that clinicians would welcome a decision-support tool that accurately predicts preterm birth. METHODS: Qualitative interviews were undertaken as part of the EQUIPTT study (The Evaluation of the QUiPP app for Triage and Transfer) (REC: 17/LO/1802) which aimed to evaluate the impact of the QUiPP app on management of TPTL. Individual semi-structured telephone interviews were used to explore clinicians' (obstetricians' and midwives') experiences of using the QUiPP app and how it was implemented at their hospital sites. Thematic analysis was chosen to explore the meaning of the data, through a framework approach. RESULTS: Nineteen participants from 10 hospital sites in England took part. Data analysis revealed three overarching themes which were: 'experience of using the app', 'how QUiPP risk changes practice' and 'successfully adopting QUiPP: context is everything'. With these final themes we appeared to have achieved our aim of exploring the clinicians' experiences of using and implementing the QUiPP app. CONCLUSION: This study explored different clinician's experiences of implementing the app. The organizational and cultural context at different sites appeared to have a large impact on how well the QUiPP app was implemented. Future work needs to be undertaken to understand how best to embed the intervention within different settings. This will inform scale up of QUiPP app use across the UK and ensure that clinicians have access to this free, easy-to-use tool which can positively aid clinical decision making when caring for women in TPTL. CLINICAL TRIAL REGISTRY AND REGISTRATION NUMBER: ISRCTN 17846337, registered 08th January 2018, https://doi.org/10.1186/ISRCTN17846337 .

Ten women's decision-making experiences in threatened preterm labour: Qualitative findings from the EQUIPTT trial.

BACKGROUND: Clinical triage of women in threatened preterm labour (TPTL) could be improved through utilising the QUiPP App, as symptoms alone are poor predictors of early delivery. As most women in TPTL ultimately deliver at term, they must weigh this likelihood with their own personal considerations, and responsibilities. The importance of personal considerations was highlighted by the 2015 Montgomery ruling, and the significance of shared decision-making. AIMS: Through qualitative interviews, the primary aim was to explore women's decision-making experiences in TPTL through onset of symptoms, triage, clinical assessment, and discharge. METHODS: Qualitative interviews were undertaken as part of the EQUIPTT study (REC: 17/LO/1802) using a semi-structured interview schedule. Descriptive labels of the coding scheme were applied to the raw transcript data. This coding scheme was then increasingly refined into key themes and allowed parallels to be made within and between cases. RESULTS: Ten ethnically diverse women who presented at six different London hospitals sites in TPTL were interviewed. Three final themes emerged from the data incorporating 10 sub-themes, 'Seeking help', 'Being "assessed" vs making clinical decisions together', and 'End result.' CONCLUSION: Women described their busy lives and the need to juggle their commitments. Participants drew comparisons between their TPTL symptoms and 'period pain,' contrasting to typical medical terminology. Shared decision-making and the clinician-patient relationship could be improved through clinicians utilizing terminology women understand and relate to. Women used language that highlighted the clinician-patient power balance. While not fully involved in shared decision-making, women were overall satisfied with their care.

Can risk prediction models help us individualise stillbirth prevention? A systematic review and critical appraisal of published risk models.

BACKGROUND: Stillbirth prevention is an international priority - risk prediction models could individualise care and reduce unnecessary intervention, but their use requires evaluation. OBJECTIVES: To identify risk prediction models for stillbirth, and assess their potential accuracy and clinical benefit in practice. SEARCH STRATEGY: MEDLINE, Embase, DH-DATA and AMED databases were searched from inception to June 2019 using terms relevant to stillbirth, perinatal mortality and prediction models. The search was compliant with Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. SELECTION CRITERIA: Studies developing and/or validating prediction models for risk of stillbirth developed for application during pregnancy. DATA COLLECTION AND ANALYSIS: Study screening and data extraction were conducted in duplicate, using the CHARMS checklist. Risk of bias was appraised using the PROBAST tool. RESULTS: The search identified 2751 citations. Fourteen studies reporting development of 69 models were included. Variables consistently included were: ethnicity, body mass index, uterine artery Doppler, pregnancy-associated plasma protein and placental growth factor. For almost all models there were significant concerns about risk of bias. Apparent model performance (i.e. in the development dataset) was highest in models developed for use later in pregnancy and including maternal characteristics, and ultrasound and biochemical variables, but few were internally validated and none were externally validated. CONCLUSIONS: Almost all models identified were at high risk of bias. There are first-trimester models of possible clinical benefit in early risk stratification; these require validation and clinical evaluation. There were few later pregnancy models but, if validated, these could be most relevant to individualised discussions around timing of birth. TWEETABLE ABSTRACT: Prediction models using maternal factors, blood tests and ultrasound could individualise stillbirth prevention, but existing models are at high risk of bias.

Prediction of stillbirth: an umbrella review of evaluation of prognostic variables.

BACKGROUND: Stillbirth accounts for over 2 million deaths a year worldwide and rates remains stubbornly high. Multivariable prediction models may be key to individualised monitoring, intervention or early birth in pregnancy to prevent stillbirth. OBJECTIVES: To collate and evaluate systematic reviews of factors associated with stillbirth in order to identify variables relevant to prediction model development. SEARCH STRATEGY: MEDLINE, Embase, DARE and Cochrane Library databases and reference lists were searched up to November 2019. SELECTION CRITERIA: We included systematic reviews of association of individual variables with stillbirth without language restriction. DATA COLLECTION AND ANALYSIS: Abstract screening and data extraction were conducted in duplicate. Methodological quality was assessed using AMSTAR and QUIPS criteria. The evidence supporting association with each variable was graded. RESULTS: The search identified 1198 citations. Sixty-nine systematic reviews reporting 64 variables were included. The most frequently reported were maternal age (n = 5), body mass index (n = 6) and maternal diabetes (n = 5). Uterine artery Doppler appeared to have the best performance of any single test for stillbirth. The strongest evidence of association was for nulliparity and pre-existing hypertension. CONCLUSION: We have identified variables relevant to the development of prediction models for stillbirth. Age, parity and prior adverse pregnancy outcomes had a more convincing association than the best performing tests, which were PAPP-A, PlGF and UtAD. The evidence was limited by high heterogeneity and lack of data on intervention bias. TWEETABLE ABSTRACT: Review shows key predictors for use in developing models predicting stillbirth include age, prior pregnancy outcome and PAPP-A, PLGF and Uterine artery Doppler.

Incidence and characteristics of pregnancy-related death across ten low- and middle-income geographical regions: secondary analysis of a cluster randomised controlled trial.

OBJECTIVE: The aim of this article is to describe the incidence and characteristics of pregnancy-related death in low- and middle-resource settings, in relation to the availability of key obstetric resources. DESIGN: This is a secondary analysis of a stepped-wedge cluster randomised controlled trial. SETTING: This trial was undertaken at ten sites across eight low- and middle-income countries in sub-Saharan Africa, India and Haiti. POPULATION: Institutional-level consent was obtained and all women presenting for maternity care were eligible for inclusion. METHODS: Pregnancy-related deaths were collected prospectively from routine data sources and active case searching. MAIN OUTCOME MEASURES: Pregnancy-related death, place, timing and age of maternal death, and neonatal outcomes in women with this outcome. RESULTS: Over 20 months, in 536 233 deliveries there were 998 maternal deaths (18.6/10 000, range 28/10 000-630/10 000). The leading causes of death were obstetric haemorrhage (36.0%, n = 359), hypertensive disorders of pregnancy (20.6%, n = 206), sepsis (14.1%, n = 141) and other (26.5%, n = 264). Approximately a quarter of deaths occurred prior to delivery (28.4%, n = 283), 35.7% (n = 356) occurred on the day of delivery and 35.9% (n = 359) occurred after delivery. Half of maternal deaths (50.6%; n = 505) occurred in women aged 20-29 years, 10.3% (n = 103) occurred in women aged under 20 years, 34.5% (n = 344) occurred in women aged 30-39 years and 4.6% (n = 46) occurred in women aged ≥40 years. There was no measured association between the availability of key obstetric resources and the rate of pregnancy-related death. CONCLUSIONS: The large variation in the rate of pregnancy-related death, irrespective of resource availability, emphasises that inequality and inequity in health care persists. TWEETABLE ABSTRACT: Inequality and inequity in pregnancy-related death persists globally, irrespective of resource availability.

Development and validation of predictive models for QUiPP App v.2: tool for predicting preterm birth in women with symptoms of threatened preterm labor.

OBJECTIVE: To develop enhanced prediction models to update the QUiPP App prototype, a tool providing individualized risk of spontaneous preterm birth (sPTB), for use in women with symptoms of threatened preterm labor (TPTL), incorporating risk factors, transvaginal ultrasound assessment of cervical length (CL) and cervicovaginal fluid quantitative fetal fibronectin (qfFN) test results. METHODS: Participants were pregnant women between 23 + 0 and 34 + 6 weeks' gestation with symptoms of TPTL, recruited as part of four prospective cohort studies carried out at 16 UK hospitals between October 2010 and October 2017. The training set comprised all women whose outcomes were known in May 2017 (n = 1032). The validation set comprised women whose outcomes were gathered between June 2017 and March 2018 (n = 506). Parametric survival models were developed for three combinations of predictors: risk factors plus qfFN test results alone, risk factors plus CL alone, and risk factors plus both qfFN and CL. The best models were selected using the Akaike and Bayesian information criteria. The estimated probability of sPTB < 30, < 34 or < 37 weeks' gestation and within 1 or 2 weeks of testing was calculated and receiver-operating-characteristics (ROC) curves were created to demonstrate the diagnostic ability of the prediction models. RESULTS: Predictive statistics were similar between the training and the validation sets at most outcome time points and for each combination of predictors. Areas under the ROC curves (AUC) demonstrated that all three algorithms had good accuracy for the prediction of sPTB at < 30, < 34 and < 37 weeks' gestation and within 1 and 2 weeks' post-testing in the validation set, particularly the model combining risk factors plus qfFN alone (AUC: 0.96 at < 30 weeks; 0.85 at < 34 weeks; 0.77 at < 37 weeks; 0.91 at < 1 week from testing; and 0.92 at < 2 weeks from testing). CONCLUSIONS: Validation of the new prediction models suggests that the QUiPP App v.2 can reliably calculate risk of sPTB in women with TPTL. Use of the QUiPP App in practice could lead to better targeting of intervention, while providing reassurance and avoiding unnecessary intervention in women at low risk. Copyright © 2019 ISUOG. Published by John Wiley & Sons Ltd.

Desarrollo y validación de modelos predictivos para la Aplicación QUiPP v.2: herramienta para predecir el parto pretérmino en mujeres con síntomas de amenaza de parto prematuro OBJETIVO: Desarrollar modelos de predicción mejorados para actualizar el prototipo de la Aplicación QUiPP, una herramienta que proporciona el riesgo individualizado de parto pretérmino espontáneo (PPTE), para su uso en mujeres con síntomas de amenaza de parto pretérmino (APPT), mediante la incorporación de los factores de riesgo, la evaluación de la longitud cervical (LC) mediante ecografía transvaginal y los resultados de la prueba de fibronectina fetal cuantitativa (qfFN, por sus siglas en inglés) del líquido cérvico-vaginal. MÉTODOS: Las participantes fueron mujeres embarazadas entre 23 + 0 y 34 + 6 semanas de gestación con síntomas de APPT, reclutadas como parte de cuatro estudios de cohorte prospectivos llevados a cabo en 16 hospitales del Reino Unido entre octubre de 2010 y octubre de 2017. El grupo de entrenamiento comprendía a todas las mujeres cuyos resultados se conocían en mayo de 2017 (n = 1032). El grupo de validación estaba compuesto por mujeres cuyos resultados se recogieron entre junio de 2017 y marzo de 2018 (n = 506). Se desarrollaron modelos paramétricos de supervivencia para tres combinaciones de predictores: factores de riesgo más resultados de pruebas de qfFN solamente, factores de riesgo más LC solamente, y factores de riesgo más tanto qfFN como LC. Los mejores modelos fueron seleccionados utilizando los criterios de información de Akaike y Bayesiano. Se calculó la probabilidad estimada de PPTE a <30, <34 o <37 semanas de gestación y dentro de 1 o 2 semanas de la prueba y se crearon curvas de la característica operativa del receptor (ROC, por sus siglas en inglés) para demostrar la capacidad de diagnóstico de los modelos de predicción. RESULTADOS: Las estadísticas de predicción fueron similares entre los grupos de entrenamiento y de validación en la mayoría de los puntos de tiempo de los resultados y para cada combinación de predictores. Las áreas bajo las curvas (ABC) ROC demostraron que los tres algoritmos tuvieron una buena precisión para la predicción del PPTE a <30, <34 y <37 semanas de gestación y dentro de 1 a 2 semanas después de la prueba en el grupo de validación, en particular el modelo que combina los factores de riesgo más qfFN por si solo (ABC: 0,96 a <30 semanas; 0,85 at <34 semanas; 0,77 at <37 semanas; 0,91 at <1 semana de la prueba; y 0,92 a <2 semanas de la prueba CONCLUSIONES: La validación de los nuevos modelos de predicción sugiere que la Aplicación QUiPP v.2 puede calcular de manera fiable el riesgo de PPTE en mujeres con APPT. El uso de la Aplicación QUiPP en la práctica podría llevar a un mejor cribado para la intervención, a la vez que daría seguridad y evitaría intervenciones innecesarias en mujeres con bajo riesgo.

POPPIE: protocol for a randomised controlled pilot trial of continuity of midwifery care for women at increased risk of preterm birth.

BACKGROUND: High rates of preterm births remain a UK public health concern. Preterm birth is a major determinant of adverse infant and longer-term outcomes, including survival, quality of life, psychosocial effects on the family and health care costs. We aim to test whether a model of care combining continuity of midwife care with rapid referral to a specialist obstetric clinic throughout pregnancy, intrapartum and the postpartum period is feasible and improves experience and outcomes for women at increased risk of preterm birth. METHODS: This pilot, hybrid, type 2 randomised controlled implementation trial will recruit 350 pregnant women at increased risk of preterm birth to a midwifery continuity of care intervention or standard care. The intervention will be provided from recruitment (antenatal), labour, birth and the postnatal period, in hospital and community settings and in collaboration with specialist obstetric clinic care, when required. Standard care will be the current maternity care provision by NHS midwives and obstetricians at the study site. Participants will be followed up until 6-8 weeks postpartum. The composite primary outcome is the appropriate initiation of any specified interventions related to the prevention and/or management of preterm labour and birth. Secondary outcomes are related to: recruitment and attrition rates; implementation; acceptability to women, health care professionals and stakeholders; health in pregnancy and other complications; intrapartum outcomes; maternal and neonatal postnatal outcomes; psycho-social health; quality of care; women's experiences and health economic analysis. The trial has 80% power to detect a 15% increase in the rate of appropriate interventions (40 to 55%). The analysis will be by 'intention to treat' analysis. DISCUSSION: Little is known about the underlying reasons why and how models of midwifery continuity of care are associated with fewer preterm births, better maternal and infant outcomes and more positive experiences; nor how these models of care can be implemented successfully in the health services. This will be the first study to provide direct evidence regarding the effectiveness, implementation and evaluation of a midwifery continuity of care model and rapid access to specialist obstetric services for women at increased risk of preterm birth. TRIAL REGISTRATION: ISRCTN37733900 . Retrospectively registered on 21 August 2017.

Implementation of midwifery continuity of care models for Indigenous women in Australia: Perspectives and reflections for the United Kingdom.

Maternity models that provide midwifery continuity of care have been established to increase access to appropriate services for Indigenous Australian women. Understanding the development and implementation of continuity models for Indigenous women in Australia provides useful insights for the development and implementation of similar models in other contexts such as those for vulnerable and socially disadvantaged women living in the United Kingdom. To ensure better health outcomes for mothers and babies, it is crucial to promote culturally competent and safe public health models in which midwives work collaboratively with the multidisciplinary team.

Parturition and the perinatal period: can mode of delivery impact on the future health of the neonate?

Caesarean section and instrumental delivery rates are increasing in many parts of the world for a range of cultural and medical reasons, with limited consideration as to how 'mode of delivery' may impact on childhood and long-term health. However, babies born particularly by pre-labour caesarean section appear to have a subtly different physiology from those born by normal vaginal delivery, with both acute and chronic complications such as respiratory and cardio-metabolic morbidities being apparent. It has been hypothesized that inherent mechanisms within the process of labour and vaginal delivery, far from being a passive mechanical process by which the fetus and placenta are expelled from the birth canal, may trigger certain protective developmental processes permissive for normal immunological and physiological development of the fetus postnatally. Traditionally the primary candidate mechanism has been the hormonal surges or stress response associated with labour and vaginal delivery, but there is increasing awareness that transfer of the maternal microbiome to the infant during parturition. Transgenerational transmission of disease traits through epigenetics are also likely to be important. Interventions such as probiotics, neonatal gut seeding and different approaches to clinical care have potential to influence parturition physiology and improve outcomes for infants.

Healthcare professionals' attitudes, knowledge and self-efficacy levels regarding the use of self-hypnosis in childbirth: A prospective questionnaire survey.

OBJECTIVE: to examine healthcare professionals' attitudes, knowledge and levels of self-efficacy regarding the use of self-hypnosis in childbirth. DESIGN: a prospective survey. SETTING: two large maternity units in London, England. PARTICIPANTS: healthcare professionals (n=129) involved in the care of childbearing women (anaesthetists, midwives and obstetricians). METHODS: online questionnaire assessing healthcare professionals' experience, knowledge, attitudes and self-efficacy relating to self-hypnosis in childbirth. MAIN OUTCOME MEASURES: attitude, self-efficacy and knowledge. FINDINGS: over half of the participants surveyed (56%) reported they had minimal or no knowledge of hypnosis. Higher levels of knowledge were associated with higher levels of self-efficacy (p<0.001) and also with more positive attitudes (p<.001). Midwives reported significantly higher levels of knowledge, more positive attitudes (7.25, 95% CI: 4.60-9.89) and higher levels of self-efficacy (3.48, 95% CI: 1.46-5.51) than doctors. Midwives also reported more exposure to/experience of hypnosis than doctors, and more exposure was significantly associated with higher levels of self-efficacy (midwives p<.001; doctors p=.001). Professionals who would plan to use self-hypnosis in their own or partners' births had significantly higher self-efficacy scores (p<.001). KEY CONCLUSIONS: if healthcare professionals are to effectively support women using self-hypnosis in childbirth, they need to be confident in their ability to facilitate this method. Previous research has established that self-efficacy is a strong indicator of performance. IMPLICATIONS FOR PRACTICE: Professionals with more knowledge of self-hypnosis are also more confident in supporting women using this technique in childbirth. Multi-disciplinary staff training which aims to increase knowledge, and which includes exposure to hypnosis in labour, may be beneficial in assisting staff to support women choosing to use self-hypnosis in labour.

Women and their birth partners' experiences following a primary postpartum haemorrhage: a qualitative study.

BACKGROUND: Postpartum haemorrhage (PPH) is a common obstetric complication. Rates of PPH are increasing in a number of developed countries. This is concerning as PPH is recognised as a leading cause of maternal morbidity and mortality which includes psychological and emotional distress. There is limited understanding of the emotional impact of PPH experienced by women and their birth partners. This study qualitatively describes the experiences of women and their birth partners who experienced a primary PPH. METHODS: Semi-structured interview study. Couples were recruited via maximum variation sampling, which, by purposive sampling drew participants from three groups depending on the degree of PPH: minor (500-1000 ml), moderate (1000-2000 ml) and severe (>2000 ml). Interviews took place from 4 to 14 months post birth, and data were analysed via Framework analysis. RESULTS: In this qualitative study, 11 women and six partners were interviewed. Data were organised into four interrelated themes; Control, Communication, Consequence, Competence. Just over half of the women and their birth partners were unaware they had a PPH, and would have preferred more information either at the time or in the postnatal period. The findings suggest that birth partners also required more information, especially if separated from their partner during the PPH. CONCLUSIONS: This study provides valuable insights into women's reports of their feelings and experiences during and after a PPH, and how their partners feel having observed a PPH. This study suggests that women who have had a PPH of any volume would like more information. Further investigations into the timings, methods and effectiveness of discussions following a PPH are recommended.

Perinatal and maternal outcomes in planned home and obstetric unit births in women at 'higher risk' of complications: secondary analysis of the Birthplace national prospective cohort study.

OBJECTIVE: To explore and compare perinatal and maternal outcomes in women at 'higher risk' of complications planning home versus obstetric unit (OU) birth. DESIGN: Prospective cohort study. SETTING: OUs and planned home births in England. POPULATION: 8180 'higher risk' women in the Birthplace cohort. METHODS: We used Poisson regression to calculate relative risks adjusted for maternal characteristics. Sensitivity analyses explored possible effects of differences in risk between groups and alternative outcome measures. MAIN OUTCOME MEASURES: Composite perinatal outcome measure encompassing 'intrapartum related mortality and morbidity' (intrapartum stillbirth, early neonatal death, neonatal encephalopathy, meconium aspiration syndrome, brachial plexus injury, fractured humerus or clavicle) and neonatal admission within 48 hours for more than 48 hours. Two composite maternal outcome measures capturing intrapartum interventions/adverse maternal outcomes and straightforward birth. RESULTS: The risk of 'intrapartum related mortality and morbidity' or neonatal admission for more than 48 hours was lower in planned home births than planned OU births [adjusted relative risks (RR) 0.50, 95% CI 0.31-0.81]. Adjustment for clinical risk factors did not materially affect this finding. The direction of effect was reversed for the more restricted outcome measure 'intrapartum related mortality and morbidity' (RR adjusted for parity 1.92, 95% CI 0.97-3.80). Maternal interventions were lower in planned home births. CONCLUSIONS: The babies of 'higher risk' women who plan birth in an OU appear more likely to be admitted to neonatal care than those whose mothers plan birth at home, but it is unclear if this reflects a real difference in morbidity. Rates of intrapartum related morbidity and mortality did not differ statistically significantly between settings at the 5% level but a larger study would be required to rule out a clinically important difference between the groups.

Reporting errors, incidence and risk factors for postpartum haemorrhage and progression to severe PPH: a prospective observational study.

OBJECTIVE: To quantify reporting errors, measure incidence of postpartum haemorrhage (PPH) and define risk factors for PPH (≥500 ml) and progression to severe PPH (≥1500 ml). DESIGN: Prospective observational study. SETTING: Two UK maternity services. POPULATION: Women giving birth between 1 August 2008 and 31 July 2009 (n = 10 213). METHODS: Weighted sampling with sequential adjustment by multivariate analysis. MAIN OUTCOME MEASURES: Incidence and risk factors for PPH and progression to severe PPH. RESULTS: Errors in transcribing blood volume were frequent (14%) with evidence of threshold preference and avoidance. The incidences of PPH ≥500, ≥1500 and ≥2500 ml were 33.7% (95% CI 31.2-36.2), 3.9% (95% CI 3.3-4.6) and 0.8% (95% CI 0.6-1.0). New independent risk factors predicting PPH ≥ 500 ml included Black African ethnicity (adjusted odds ratio [aOR] 1.77, 95% CI 1.31-2.39) and assisted conception (aOR 2.93, 95% CI 1.30-6.59). Modelling demonstrated how prepregnancy- and pregnancy-acquired factors may be mediated through intrapartum events, including caesarean section, elective (aOR 24.4, 95% CI 5.53-108.00) or emergency (aOR 40.5, 95% CI 16.30-101.00), and retained placenta (aOR 21.3, 95% CI 8.31-54.7). New risk factors were identified for progression to severe PPH, including index of multiple deprivation (education, skills and training) (aOR 1.75, 95% CI 1.11-2.74), multiparity without caesarean section (aOR 1.65, 95% CI 1.20-2.28) and administration of steroids for fetal reasons (aOR 2.00, 95% CI 1.24-3.22). CONCLUSIONS: Sequential, interacting, traditional and new risk factors explain the highest rates of PPH and severe PPH reported to date.