Identifying the needs of women following a severe postpartum hemorrhage.

INTRODUCTION: Childbirth is a unique experience for women. In Ireland, major obstetric hemorrhage (MOH) is the most frequently reported severe maternal morbidity (SMM) with an incidence of 3.27 per 1000 maternities. Much is known now about the management of postpartum hemorrhage (PPH), and there is some research on women and their partner's experience. Less is known about how the woman feels emotionally following a PPH or what informational needs and emotional support are required. The aim of this study was to understand how women felt after experiencing a severe PPH, to listen to their first-hand experience, and to learn what improvements could be made for future care for women who experience a PPH. METHODS: A descriptive, quantitative approach was conducted using semi-structured interviews with women who had a severe hemorrhage (blood loss) of ≥2.5 L between four and fourteen months postpartum. RESULTS: Five women took part in this study. The women identified a lack of information provided to them about the reason for the significant bleeding. The women voiced they could overhear information about the event discussed between healthcare professionals but not with the woman. The care the women received in the High Dependency Unit (HDU) was significantly different from the care they received in the postnatal wards, and the women were not informed they were clinically well for transfer to the postnatal ward. It was reported that the postnatal wards were busy and short-staffed, and the women looked for more emotional support from staff, which was not available. This had an effect on their recovery in the postnatal period. CONCLUSIONS: The women reported that they wanted more information in the early postnatal period following the event, and some still had unanswered questions at the time of the interviews several months later. Most of the participants did not receive adequate emotional support from the midwives caring for them, which resulted in the participants requesting early discharge home to get emotional support from members of their family.

Introduction of a Single Electronic Health Record for Maternity Units in Ireland: Outline of the Experiences of the Project Management Team.

Electronic health records (EHRs) are being introduced worldwide. The change from paper to electronic records has not always been a seamless or quick process; however, EHRs are viewed as central to updating modern health care, especially organization structures and delivery of sustainable care with the potential for joint decision-making with the patient. The objective of this viewpoint paper is to outline how an EHR is being developed in Ireland. The focus of the Maternal & Newborn Clinical Management System project is the design and implementation of an EHR for all women and babies in the maternity services in the Republic of Ireland. The paper also outlines the lessons learned from the planning to the optimization stage of the project. The paper was developed through discussions with the project management team and their completed reports that outline the lessons they acquired from each project stage. Key lessons learned from each stage of the project are highlighted. This viewpoint paper explains how the national project management team is implementing the EHR and outlines the experiences and lessons learned and the challenges ahead following the phase one introduction. The Maternal & Newborn Clinical Management System is an example of a clinician-led, patient-focused, change management project from its inception to implementation. The introduction of EHRs is essential in modernizing health care and optimizing patient outcomes through the accurate and appropriate use of data.

Predicting risk of postpartum haemorrhage during the intrapartum period in a general obstetric population.

OBJECTIVE: To develop and validate (both internally and externally) a prediction model examining a combination of risk factors in order to predict postpartum haemorrhage (PPH) in a general obstetric Irish population of singleton pregnancies. STUDY DESIGN: We used data from the National Maternal and Newborn Clinical Management System (MN-CMS), including all singleton deliveries at Cork University Maternity Hospital (CUMH), Ireland during 2019. We defined PPH as an estimated blood loss of ≥ 1000 ml following the birth of the baby. Multivariable logistic regression with backward stepwise selection was used to develop the prediction model. Candidate predictors included maternal age, maternal body mass index, parity, previous caesarean section, assisted fertility, gestational age, fetal macrosomia, mode of delivery and history of PPH. Discrimination was assessed using the area under the receiver operating characteristic curve (ROC) C-statistic. We used bootstrapping for internal validation to assess overfitting, and conducted a temporal external validation using data from all singleton deliveries at CUMH during 2020. RESULTS: Out of 6,077 women, 5,807 with complete data were included in the analyses, and there were 270 (4.65%) cases of PPH. Four variables were considered the best combined predictors of PPH, including parity (specifically nulliparous), macrosomia, mode of delivery (specifically operative vaginal delivery, emergency caesarean section and prelabour caesarean section), and history of PPH. These predictors were used to develop a nomogram to provide individualised risk assessment for PPH. The original apparent C-statistic was 0.751 (95% CI: 0.721, 0.779) suggesting good discriminative performance. There was minimal optimism adjustment to the C-statistic after bootstrapping, indicating good internal performance (optimism adjusted C-statistic: 0.748). Results of external validation were comparable with the development model suggesting good reproducibility. CONCLUSIONS: Four routinely collected variables (parity, fetal macrosomia, mode of delivery and history of PPH) were identified when predicting PPH in a general obstetric Irish population of singleton pregnancies. Use of our nomogram could potentially assist with individualised risk assessment of PPH and inform clinical decision-making allowing those at highest risk of PPH be actively managed.

Predicting perineal trauma during childbirth using data from a general obstetric population.

Background: Perineal trauma is a common complication of childbirth and can have serious impacts on long-term health. Few studies have examined the combined effect of multiple risk factors. We developed and internally validated a risk prediction model to predict third and fourth degree perineal tears using data from a general obstetric population. Methods: Risk prediction model using data from all singleton vaginal deliveries at Cork University Maternity Hospital (CUMH), Ireland during 2019 and 2020. Third/fourth degree tears were diagnosed by an obstetrician or midwife at time of birth and defined as tears that extended into the anal sphincter complex or involved both the anal sphincter complex and anorectal mucosa. We used univariable and multivariable logistic regression with backward stepwise selection to develop the models. Candidate predictors included infant sex, maternal age, maternal body mass index, parity, mode of delivery, birthweight, post-term delivery, induction of labour and public/private antenatal care. We used the receiver operating characteristic (ROC) curve C-statistic to assess discrimination, and bootstrapping techniques were used to assess internal validation. Results: Of 8,403 singleton vaginal deliveries, 8,367 (99.54%) had complete data on predictors for model development. A total of 128 women (1.53%) had a third/fourth degree tear. Three variables remained in the final model: nulliparity, mode of delivery (specifically forceps delivery or ventouse delivery) and increasing birthweight (per 100 gram increase) (C-statistic: 0.75, 95% CI: 0.71, 0.79). We developed a nomogram to calculate individualised risk of third/fourth degree tears using these predictors. Bootstrapping indicated good internal performance. Conclusions: Use of our nomogram can provide an individualised risk assessment of third/fourth degree tears and potentially aid counselling of women on their potential risk.

Major obstetric haemorrhage: Incidence, management and quality of care in Irish maternity units.

OBJECTIVE: To assess major obstetric haemorrhage incidence, management and quality of care in Irish maternity units. DESIGN: In collaboration with Irish maternity units the National Perinatal Epidemiology Centre (Leitao et al., 2020) carried out a national clinical audit and surveillance of major obstetric haemorrhage (MOH). METHODS: MOH was defined as blood loss of at least 2500 ml, transfusion of five or more units of blood or documented treatment for coagulopathy. Co-ordinators in maternity units completed detailed case assessment forms. The denominator data obtained from the individual units was restricted to live births and stillbirths of babies weighing at least 500 g. International Classification of Diseases diagnostic codes from hospital discharge records were used to identify cases of postpartum haemorrhage (PPH) and blood transfusion. RESULTS: During the time period, 2011-2018, there was a 54 % increase in MOH, a 60 % increase in PPH and a 54 % increase in blood transfusion. For 497 reported cases of MOH in 2011-2013, the median estimated blood loss was 3000 ml (range: 600-13,000 ml) and uterine atony was the most common cause. At least one uterotonic agent was used to arrest the bleeding in 94 % of the 477 MOH cases associated with a vaginal or caesarean delivery. A blood transfusion was received in 93 % of cases. Regarding quality of care, the vast majority of reported cases were described as receiving appropriate care and were well managed. CONCLUSION: Internationally, obstetric haemorrhage and especially PPH and its increasing trend remains a major challenge for service providers and clinical staff. A standardisation of definitions of PPH/severe PPH/MOH and agreed approaches to quantitation of blood loss would be valuable developments to allow better investigation and shared learning. Reducing the burden of this morbidity through improvements in care should be a real focus of maternity services.