Inter-facility transfers for emergency obstetrical and neonatal care in rural Madagascar: a cost-effectiveness analysis.

CONTEXT: There is a substantial lack of inter-facility referral systems for emergency obstetrical and neonatal care in rural areas of sub-Saharan Africa. Data on the costs and cost-effectiveness of such systems that reduce preventable maternal and neonatal deaths are scarce. SETTING: We aimed to determine the cost-effectiveness of a non-governmental organisation (NGO)-run inter-facility referral system for emergency obstetrical and neonatal care in rural Southern Madagascar by analysing the characteristics of cases referred through the intervention as well as its costs. DESIGN: We used secondary NGO data, drawn from an NGO's monitoring and financial administration database, including medical and financial records. OUTCOME MEASURES: We performed a descriptive and a cost-effectiveness analysis, including a one-way deterministic sensitivity analysis. RESULTS: 1172 cases were referred over a period of 4 years. The most common referral reasons were obstructed labour, ineffective labour and eclampsia. In total, 48 neonates were referred through the referral system over the study period. Estimated cost per referral was US$336 and the incremental cost-effectiveness ratio (ICER) was US$70 per additional life-year saved (undiscounted, discounted US$137). The sensitivity analysis showed that the intervention was cost-effective for all scenarios with the lowest ICER at US$99 and the highest ICER at US$205 per additional life-year saved. When extrapolated to the population living in the study area, the investment costs of the programme were US$0.13 per person and annual running costs US$0.06 per person. CONCLUSIONS: In our study, the inter-facility referral system was a very cost-effective intervention. Our findings may inform policies, decision-making and implementation strategies for emergency obstetrical and neonatal care referral systems in similar resource-constrained settings.

Implementation barriers and facilitators of Moyo foetal heart rate monitor during labour in public hospitals in Nepal.

BACKGROUND: Globally, every year, approximately 1 million foetal deaths take place during the intrapartum period, fetal heart monitoring (FHRM) and timely intervention can reduce these deaths. OBJECTIVE: This study evaluates the implementation barriers and facilitators of a device, Moyo for FHRM. METHODS: The study adopted a qualitative study design in four hospitals in Nepal where Moyo was implemented for HRM. The study participants were labour room nurses and convenience sampling was used to select them. A total of 20 interviews were done to reach the data saturation. The interview transcripts were translated to English, and qualitative content analysis using deductive approach was applied. RESULTS: Using the deductive approach, the data were organised into three categories i) changes in practice of FHRM, ii) barriers to implementing Moyo and iii) facilitators of implementing Moyo. Moyo improved adherence to intermittent FHRM as the device could handle higher caseloads compared to the previous devices. The implementation of Moyo was hindered by difficulty to organise training ondevice during non-working hours, technical issue of the device, nurse mistrust towards the device and previous experience of poor implementation to similar innovations. Facilitators for implementation included effective training on how to use Moyo, improvement in intrapartum foetal monitoring and improvement in staff morale, ease of using the device, Plan Do Study Act (PDSA) meetings to improve use of Moyo and supportive leadership. CONCLUSION: The change in FHRM practice suggests that the implementation of innovative solution such as Moyo was successful with adequate facilitation, supportive staff attitude and leadership.

Main findings: Before the Moyo implementation, foetal heart rate monitoring was sub-optimal in the hospitals, which changed after introduction of the device, as it helped early display of foetal heart rate in the monitor and supported communication with women during the labour and delivery.Added knowledge: Implementation of Moyo in low-resource setting requires an interdisciplinary approach with continuous support to health care providers on how to correctly read Moyo, maintenance of device and management of false reading.Global health impact for policy and action: The global efforts to accelerate reduce preventable intrapartum related neonatal death requires contextual understanding of clinical context for effective implementation of Moyo.

Exploring women's experiences of care during hospital childbirth in rural Tanzania: a qualitative study.

BACKGROUND: Women's childbirth experiences provide a unique understanding of care received in health facilities from their voices as they describe their needs, what they consider good and what should be changed. Quality Improvement interventions in healthcare are often designed without inputs from women as end-users, leading to a lack of consideration for their needs and expectations. Recently, quality improvement interventions that incorporate women's childbirth experiences are thought to result in healthcare services that are more responsive and grounded in the end-user's needs. AIM: This study aimed to explore women's childbirth experiences to inform a co-designed quality improvement intervention in Southern Tanzania. METHODS: This exploratory qualitative study used semi-structured interviews with women after childbirth (n = 25) in two hospitals in Southern Tanzania. Reflexive thematic analysis was applied using the World Health Organization's Quality of Care framework on experiences of care domains. RESULTS: Three themes emerged from the data: (1) Women's experiences of communication with providers varied (2) Respect and dignity during intrapartum care is not guaranteed; (3) Women had varying experience of support during labour. Verbal mistreatment and threatening language for adverse birthing outcomes were common. Women appreciated physical or emotional support through human interaction. Some women would have wished for more support, but most accepted the current practices as they were. CONCLUSION: The experiences of care described by women during childbirth varied from one woman to the other. Expectations towards empathic care seemed low, and the little interaction women had during labour and birth was therefore often appreciated and mistreatment normalized. Potential co-designed interventions should include strategies to (i) empower women to voice their needs during childbirth and (ii) support healthcare providers to have competencies to be more responsive to women's needs.

Continued versus discontinued oxytocin stimulation in the active phase of labour (CONDISOX): individual management based on artificial intelligence - a secondary analysis.

BACKGROUND: Current guidelines regarding oxytocin stimulation are not tailored to individuals as they are based on randomised controlled trials. The objective of the study was to develop an artificial intelligence (AI) model for individual prediction of the risk of caesarean delivery (CD) in women with a cervical dilatation of 6 cm after oxytocin stimulation for induced labour. The model included not only variables known when labour induction was initiated but also variables describing the course of the labour induction. METHODS: Secondary analysis of data from the CONDISOX randomised controlled trial of discontinued vs. continued oxytocin infusion in the active phase of induced labour. Extreme gradient boosting (XGBoost) software was used to build the prediction model. To explain the impact of the predictors, we calculated Shapley additive explanation (SHAP) values and present a summary SHAP plot. A force plot was used to explain specifics about an individual's predictors that result in a change of the individual's risk output value from the population-based risk. RESULTS: Among 1060 included women, 160 (15.1%) were delivered by CD. The XGBoost model found women who delivered vaginally were more likely to be parous, taller, to have a lower estimated birth weight, and to be stimulated with a lower amount of oxytocin. In 108 women (10% of 1060) the model favoured either continuation or discontinuation of oxytocin. For the remaining 90% of the women, the model found that continuation or discontinuation of oxytocin stimulation affected the risk difference of CD by less than 5% points. CONCLUSION: In women undergoing labour induction, this AI model based on a secondary analysis of data from the CONDISOX trial may help predict the risk of CD and assist the mother and clinician in individual tailored management of oxytocin stimulation after reaching 6 cm of cervical dilation.

Application of a specific clinical pathway can affect the choice of trial of labor in patients with a history of cesarean delivery.

BACKGROUND: Mode of delivery in women with previous history of cesarean delivery (CD) is highly modifiable by the practices of the delivery unit. Vaginal birth after a cesarean (VBAC) delivery is a safe and preferred alternative in most cases. The aim of this study was to assess the impact of adopting a complex set of measures aimed at the mode of delivery in this group. METHODS: This was a retrospective observational study comparing two birth cohorts before and after the implementation of a series of quality improvement (QI) interventions. The study cohorts comprised women with a history of cesarean delivery who gave birth in the period before (January 2013 - December 2015) and after (January 2018 - December 2020) the adoption of the QI measures. The measures were focused on singleton term cephalic pregnancies with a low transverse incision in the uterus. Measures included approval of all planned CDs by a senior obstetrician, re-training staff on the use of the FIGO classification for intrapartum fetal cardiotocogram, establishing VBAC management guidelines, encouraging epidural analgesia during trial of labor after cesarean (TOLAC), establishing a labor ward team and introducing a monthly maternity audit. RESULTS: Term singleton cephalic pregnancies with previous history of CD accounted for 12.55% of all births in the pre-intervention period and 12.01% in the post-intervention period. The frequency of cesarean deliveries decreased from 89.94% in the pre-intervention period to 64.47% in the post-intervention period (p < 0.0001). We observed a significant increase in TOLAC from 13.18 to 42.12% (p<0.0001) and also an increase in successful VBAC from 76.27 to 84.35% (p < 0.0001). All changes occurred without statistically significant change in overall perinatal mortality. CONCLUSIONS: This study demonstrates the feasibility to safely increase trial of labor and vaginal birth after cesarean delivery by implementing a series of quality improvement interventions and clinical pathway changes.

Validation of a Predictive Model of Vaginal Birth after Caesarean Section in Pakistani Women.

OBJECTIVE: To determine the frequency of successful trials of vaginal birth after Caesarean section (VBAC) using the Flamm and Geiger model. STUDY DESIGN: Observational study. Place and Duration of the Study: Obstetrics and Gynaecology Unit II of Dr. Ruth K.M. Pfau Civil Hospital, Karachi, Pakistan, from August 2022 to January 2023. METHODOLOGY: Women with singleton pregnancy having cephalic presentation, previous one lower segment caesarean section (LSCS), and without any contraindication for vaginal delivery were included. Women bearing foetus having estimated weight >3.5kg, morbid obesity, multiple pregnancies, non-cephalic presentation, placenta praevia, abruptio placentae, uncontrolled maternal comorbidities, or had previous two or more Caesarean sections were excluded. Flamm and Geiger score was applied to record observations of successful and unsuccessful trials. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the score were calculated by ROC curve, along with its area under the curve (AUC) and Youden's index curve, with 95% confidence interval. RESULTS: This study included 258 participants. Successful vaginal delivery was possible in 125 (48.4%) participants, whereas 133 (51.6%) underwent emergency Caesarean section. Cervical dilatation and effacement were the main factors assessing the success. The Flamm and Geiger score of >5 had an area under the curve of 0.813 (0.762-0.864). The score's sensitivity was 75% (67-82%), specificity 76% (68-82%), and PPV of 75% with an accuracy of 76%. CONCLUSION: The Flamm and Geiger score of >5 demonstrated high sensitivity, specificity, PPV, and accuracy in predicting later successful vaginal birth. It is recommended as a promising and valuable tool for assessing VBAC's success in low-resource countries. KEY WORDS: Vaginal birth after caesarean, Flamm and Geiger Model, Indication of caesarean, trial of labour after caesarean, VBAC risk scoring criteria.

Using Computer Vision to Annotate Video-Recoded Direct Observation of Physical Behavior.

Direct observation is a ground-truth measure for physical behavior, but the high cost limits widespread use. The purpose of this study was to develop and test machine learning methods to recognize aspects of physical behavior and location from videos of human movement: Adults (N = 26, aged 18-59 y) were recorded in their natural environment for two, 2- to 3-h sessions. Trained research assistants annotated videos using commercially available software including the following taxonomies: (1) sedentary versus non-sedentary (two classes); (2) activity type (four classes: sedentary, walking, running, and mixed movement); and (3) activity intensity (four classes: sedentary, light, moderate, and vigorous). Four machine learning approaches were trained and evaluated for each taxonomy. Models were trained on 80% of the videos, validated on 10%, and final accuracy is reported on the remaining 10% of the videos not used in training. Overall accuracy was as follows: 87.4% for Taxonomy 1, 63.1% for Taxonomy 2, and 68.6% for Taxonomy 3. This study shows it is possible to use computer vision to annotate aspects of physical behavior, speeding up the time and reducing labor required for direct observation. Future research should test these machine learning models on larger, independent datasets and take advantage of analysis of video fragments, rather than individual still images.

Cost-effectiveness of a radio intervention to stimulate early childhood development: protocol for an economic evaluation of the SUNRISE trial in Burkina Faso.

INTRODUCTION: Approximately 250 million children under 5 years of age are at risk of poor development in low-income and middle-income countries. However, existing early childhood development (ECD) interventions can be expensive, labour intensive and challenging to deliver at scale. Mass media may offer an alternative approach to ECD intervention. This protocol describes the planned economic evaluation of a cluster-randomised controlled trial of a radio campaign promoting responsive caregiving and opportunities for early learning during the first 3 years of life in rural Burkina Faso (SUNRISE trial). METHODS AND ANALYSIS: The economic evaluation of the SUNRISE trial will be conducted as a within-trial analysis from the provider's perspective. Incremental costs and health outcomes of the radio campaign will be compared with standard broadcasting (ie, 'do nothing' comparator). All costs associated with creating and broadcasting the radio campaign during intervention start-up and implementation will be captured. The cost per child under 3 years old reached by the intervention will be calculated. Incremental cost-effectiveness ratios will be calculated for the trial's primary outcome (ie, incremental cost per SD of cognitive gain). A cost-consequence analysis will also be presented, whereby all relevant costs and outcomes are tabulated. Finally, an analysis will be conducted to assess the equity impact of the intervention. ETHICS AND DISSEMINATION: The SUNRISE trial has ethical approval from the ethics committees of the Ministry of Health, Burkina Faso, University College London and the London School of Hygiene and Tropical Medicine. The results of the economic evaluation will be disseminated in a peer-reviewed journal and presented at a relevant international conference. TRIAL REGISTRATION NUMBER: The SUNRISE trial was registered with ClinicalTrials.gov on 19 April 2019 (identifier: NCT05335395).

Labour Care Guide implementation as a decision-making tool for monitoring labour among healthcare providers in Uganda: protocol for a mixed-methods study.

INTRODUCTION: The new WHO Labour Care Guide (LCG), also regarded as the 'next-generation partograph', is a core component of 2018 WHO consolidated guidelines on intrapartum care for positive childbirth experience. The Ugandan Ministry of Health is in the process of adopting the new WHO LCG with no local context-specific data to inform this transition. We will explore potential barriers and facilitators to healthcare providers' (HCPs) sustained engagement in labour monitoring in Mbarara city, Southwestern Uganda, and use the data to refine the new WHO LCG and develop a suitable implementation strategy to effectively integrate LCG into routine maternity care in Uganda. We shall then assess effectiveness, validity and other preliminary implementation outcomes of using the new LCG in detecting prolonged labour. METHODS AND ANALYSIS: The study will use a mixed-methods approach to identify key LCG user perspectives to refine and customise the WHO LCG among 120 HCPs and stakeholders involved in maternity care and labour monitoring within facilities in Southwestern Uganda. The refined prototype will be deployed and used to monitor labour in all 14 basic and comprehensive emergency obstetric and newborn care facilities in the study area. We will review labour outcomes of 520 patients monitored using the new LCG and compare these outcomes with a historical cohort of 520 patients monitored using the partograph. The main effectiveness outcome will be the proportion of women diagnosed with prolonged labour and/or obstructed labour. ETHICS AND DISSEMINATION: Ethical approval was obtained from the Mbarara University of Science and Technology Research Ethics Committee (MUST-2023-808) and Uganda National Council for Science and Technology (HS2864ES). We shall obtain written informed consent from each participant. The results of this study will be published in international peer-reviewed journals and presented to the Ugandan Ministry of Health as policy briefs and at selected national/international conferences. TRIAL REGISTRATION NUMBER: NCT05979194.

Artificial Intelligence-Assisted Cancer Status Detection in Radiology Reports.

Cancer research is dependent on accurate and relevant information of patient's medical journey. Data in radiology reports are of extreme value but lack consistent structure for direct use in analytics. At Memorial Sloan Kettering Cancer Center (MSKCC), the radiology reports are curated using gold-standard approach of using human annotators. However, the manual process of curating large volume of retrospective data slows the pace of cancer research. Manual curation process is sensitive to volume of reports, number of data elements and nature of reports and demand appropriate skillset. In this work, we explore state of the art methods in artificial intelligence (AI) and implement end-to-end pipeline for fast and accurate annotation of radiology reports. Language models (LM) are trained using curated data by approaching curation as multiclass or multilabel classification problem. The classification tasks are to predict multiple imaging scan sites, presence of cancer and cancer status from the reports. The trained natural language processing (NLP) model classifiers achieve high weighted F1 score and accuracy. We propose and demonstrate the use of these models to assist in the manual curation process which results in higher accuracy and F1 score with lesser time and cost, thus improving efforts of cancer research. SIGNIFICANCE: Extraction of structured data in radiology for cancer research with manual process is laborious. Using AI for extraction of data elements is achieved using NLP models' assistance is faster and more accurate.

Effect of implementation of the WHO intrapartum care model on maternal and neonatal outcomes: a randomized control trial.

BACKGROUND: In 2018, the World Health Organization published a set of recommendations for further emphasis on the quality of intrapartum care to improve the childbirth experience. This study aimed to determine the effects of the WHO intrapartum care model on the childbirth experience, fear of childbirth, the quality of intrapartum care (primary outcomes), as well as post-traumatic stress disorder symptoms, postpartum depression, the duration of childbirth stages, the frequency of vaginal childbirth, Apgar score less than 7, desire for subsequent childbearing, and exclusive breastfeeding in the 4 to 6 weeks postpartum period (secondary outcomes). METHODS: This study was a randomized controlled trial involving 108 pregnant women admitted to the maternity units of Al-Zahra and Taleghani hospitals in Tabriz-Iran. Participants were allocated to either the intervention group, which received care according to the ' 'intrapartum care model, or the control group, which received the' 'hospital's routine care, using the blocked randomization method. A Partograph chart was drawn for each participant during pregnancy. A delivery fear scale was completed by all participants both before the beginning of the active phase (pre-intervention) and during 7 to 8 cm dilation (post-intervention). Participants in both groups were followed up for 4 to 6 weeks after childbirth and were asked to complete questionnaires on childbirth experience, postpartum depression, and post-traumatic stress disorder symptoms, as well as the pregnancy and childbirth questionnaire and checklists on the desire to have children again and exclusive breastfeeding. The data were analyzed using independent T and Mann-Whitney U tests and analysis of covariance ANCOVA with adjustments for the parity variable and the baseline scores or childbirth fear. RESULTS: The average score for the childbirth experience total was notably higher in the intervention group (Adjusted Mean Difference (AMD) (95% Confidence Interval (CI)): 7.0 (0.6 to 0.8), p < 0.001). Similarly, the intrapartum care quality score exhibited a significant increase in the intervention group (AMD (95% CI): 7.0 (4.0 to 10), p < 0.001). Furthermore, the post-intervention fear of childbirth score demonstrated a substantial decrease in the intervention group (AMD (95% CI): -16.0 (-22.0 to -10.0), p < 0.001). No statistically significant differences were observed between the two groups in terms of mean scores for depression, PTSD symptoms, duration of childbirth stages, frequency of vaginal childbirth, Apgar score less than 7, and exclusive breastfeeding in the 4 to 6 weeks postpartum (p > 0.05). CONCLUSION: The intrapartum care model endorsed by the World Health Organization (WHO) has demonstrated effectiveness in enhancing childbirth experiences and increasing maternal satisfaction with the quality of obstetric care. Additionally, it contributes to the reduction of fear associated with labor and childbirth. Future research endeavors should explore strategies to prioritize and integrate respectful, high-quality care during labor and childbirth alongside clinical measures.

Incorporation, adaptation and rejection of obstetric practices during the implementation of the "Adequate Childbirth Program" in Brazilian private hospitals: a qualitative study.

BACKGROUND: The "Adequate Childbirth Program" (PPA) is a quality improvement project that aims to reduce the high rates of unnecessary cesarean section in Brazilian private hospitals. This study aimed to analyze labor and childbirth care practices after the first phase of PPA implementation. METHOD: This study uses a qualitative approach. Eight hospitals were selected. At each hospital, during the period of 5 (five) days, from July to October 2017, the research team conducted face to face interviews with doctors (n = 21) and nurses (n = 28), using semi-structured scripts. For the selection of professionals, the Snowball technique was used. The interviews were transcribed, and the data submitted to Thematic Content Analysis, using the MaxQda software. RESULTS: The three analytical dimensions of the process of change in the care model: (1) Incorporation of care practices: understood as the practices that have been included since PPA implementation; (2) Adaptation of care practices: understood as practices carried out prior to PPA implementation, but which underwent modifications with the implementation of the project; (3) Rejection of care practices: understood as those practices that were abandoned or questioned whether or not they should be carried out by hospital professionals. CONCLUSIONS: After the PPA, changes were made in hospitals and in the way, women were treated. Birth planning, prenatal hospital visits led by experts (for expecting mothers and their families), diet during labor, pharmacological analgesia for vaginal delivery, skin-to-skin contact, and breastfeeding in the first hour of life are all included. To better monitor labor and vaginal birth and to reduce CS without a clinical justification, hospitals adjusted their present practices. Finally, the professionals rejected the Kristeller maneuver since research has demonstrated that using it's harmful.

Brazil has high Cesarean Section (CS) rates, with rates far from the ideal recommended by the World Health Organization and a model of care that does not favor women's autonomy and empowerment. In 2015, a quality improvement project, called "Projeto Parto Adequado" (PPA), was implemented in Brazilian private hospitals to reduce unnecessary cesarean section, in addition to encouraging the process of natural and safe childbirth. One of the components of this project was to reorganize the model of care in hospitals to prepare professionals for humanized and safe care. The data were collected in 8 hospitals with interviews with 49 professionals, approximately two years after the beginning of the project in the hospitals. There were changes in the hospital routine and in the care of women after the project. The professionals incorporated practices such as skin-to-skin contact and breastfeeding; diet during labor; non-invasive care technologies, especially to relieve pain during labor; birth plan; pregnancy courses with guided tours in hospitals (for pregnant women and family); and analgesia for vaginal labor. There was adaptation of existing practices in hospitals to reduce CS that had no clinical indication; better monitoring of labor, favoring vaginal delivery. And finally, the professionals rejected the practice that presses the uterine fundus, for not having shown efficacy in recent studies. We can conclude that the hospitals that participated in this study have made an effort to change their obstetric model. However, specific aspects of each hospital, the organization of the health system in Brazil, and the incentive of the local administration influenced the implementation of these changes by professionals in practice.

SOX4 exerts contrasting regulatory effects on labor-associated gene promoters in myometrial cells.

The uterine muscular layer, or myometrium, undergoes profound changes in global gene expression during its progression from a quiescent state during pregnancy to a contractile state at the onset of labor. In this study, we investigate the role of SOX family transcription factors in myometrial cells and provide evidence for the role of SOX4 in regulating labor-associated genes. We show that Sox4 has elevated expression in the murine myometrium during a term laboring process and in two mouse models of preterm labor. Additionally, SOX4 differentially affects labor-associated gene promoter activity in cooperation with activator protein 1 (AP-1) dimers. SOX4 exerted no effect on the Gja1 promoter; a JUND-specific activation effect at the Fos promoter; a positive activation effect on the Mmp11 promoter with the AP-1 dimers; and surprisingly, we noted that the reporter expression of the Ptgs2 promoter in the presence of JUND and FOSL2 was repressed by the addition of SOX4. Our data indicate SOX4 may play a diverse role in regulating gene expression in the laboring myometrium in cooperation with AP-1 factors. This study enhances our current understanding of the regulatory network that governs the transcriptional changes associated with the onset of labor and highlights a new molecular player that may contribute to the labor transcriptional program.

Management of an acute intracranial emergency in pregnancy.

We report a case of a mid-20s primigravida at 37 weeks' gestation who presented with severe headache and acute neurological deterioration. The CT brain scan showed hydrocephalus caused by a colloid cyst in the third ventricle. The patient underwent emergency placement of an external ventricular drain for decompression of acute hydrocephalus. Four hours later, labour commenced spontaneously, and in view of her neurological status, a decision was taken to perform a caesarean section under general anaesthetics. Four days postpartum, the patient underwent an endoscopic removal of the cyst. Intracranial emergencies during pregnancy are rare and challenging to manage. The mortality rate can be significant. Diagnostic and surgical intervention should not be delayed because of pregnancy. An individualised treatment approach is required with multidisciplinary input. The collaborative efforts of our multidisciplinary team resulted in prompt diagnosis and surgical treatment in this case that resulted in both a healthy mother and child.

A new classification allowing assessment of instrumental vaginal-birth practices.

BACKGROUND: Instrumental vaginal birth, a very common intervention in obstetrics, concerns nearly one in eight women in France. Instrumentally assisted vaginal childbirth can be for maternal and/or fetal indications. Although it reduces recourse to caesarean section, it is subject to risks. Practices concerning instrumental birth are disparate, varying among different practitioners, maternity units and countries, and it is essential to be able to evaluate them. Our objective was to create a classification tool of women requiring instrumental birth to facilitate the analysis of practices within our maternity unit as well as to enable temporal and geographical comparisons. MATERIALS AND METHODS: We propose a simple and robust classification based on the same principles as Robson's classification. It is made up of seven totally inclusive and mutually exclusive groups. Our classification was refined and validated using the Delphi method by a panel of 14 experts from throughout France, and tested in our maternity unit using data from throughout 2021. RESULTS: The seven clinically relevant groups are based on five obstetric criteria (multiplicity, presentation, gestational age, previous type of birth, induction of labor). To classify each woman in a group, five successive questions are posed in a predefined order. The classification has been validated by the experts with highly satisfactory overall agreement. CONCLUSION: In order to improve the quality of care, we propose a tool to standardize the evaluation of instrumental vaginal birth practice (called the "Isère classification", after the county where we work in south-eastern France). It will also facilitate the comparison the practices among different maternity units in a network, a country or even among different countries.

Machine learning on cardiotocography data to classify fetal outcomes: A scoping review.

INTRODUCTION: Uterine contractions during labour constrict maternal blood flow and oxygen delivery to the developing baby, causing transient hypoxia. While most babies are physiologically adapted to withstand such intrapartum hypoxia, those exposed to severe hypoxia or with poor physiological reserves may experience neurological injury or death during labour. Cardiotocography (CTG) monitoring was developed to identify babies at risk of hypoxia by detecting changes in fetal heart rate (FHR) patterns. CTG monitoring is in widespread use in intrapartum care for the detection of fetal hypoxia, but the clinical utility is limited by a relatively poor positive predictive value (PPV) of an abnormal CTG and significant inter and intra observer variability in CTG interpretation. Clinical risk and human factors may impact the quality of CTG interpretation. Misclassification of CTG traces may lead to both under-treatment (with the risk of fetal injury or death) or over-treatment (which may include unnecessary operative interventions that put both mother and baby at risk of complications). Machine learning (ML) has been applied to this problem since early 2000 and has shown potential to predict fetal hypoxia more accurately than visual interpretation of CTG alone. To consider how these tools might be translated for clinical practice, we conducted a review of ML techniques already applied to CTG classification and identified research gaps requiring investigation in order to progress towards clinical implementation. MATERIALS AND METHOD: We used identified keywords to search databases for relevant publications on PubMed, EMBASE and IEEE Xplore. We used Preferred Reporting Items for Systematic Review and Meta-Analysis for Scoping Reviews (PRISMA-ScR). Title, abstract and full text were screened according to the inclusion criteria. RESULTS: We included 36 studies that used signal processing and ML techniques to classify CTG. Most studies used an open-access CTG database and predominantly used fetal metabolic acidosis as the benchmark for hypoxia with varying pH levels. Various methods were used to process and extract CTG signals and several ML algorithms were used to classify CTG. We identified significant concerns over the practicality of using varying pH levels as the CTG classification benchmark. Furthermore, studies needed to be more generalised as most used the same database with a low number of subjects for an ML study. CONCLUSION: ML studies demonstrate potential in predicting fetal hypoxia from CTG. However, more diverse datasets, standardisation of hypoxia benchmarks and enhancement of algorithms and features are needed for future clinical implementation.

Research on Human-Robot Collaboration Method for Parallel Robots Oriented to Segment Docking.

In the field of aerospace, large and heavy cabin segments present a significant challenge in assembling space engines. The substantial inertial force of cabin segments' mass often leads to unexpected motion during docking, resulting in segment collisions, making it challenging to ensure the accuracy and quality of engine segment docking. While traditional manual docking leverages workers' expertise, the intensity of the labor and low productivity are impractical for real-world applications. Human-robot collaboration can effectively integrate the advantages of humans and robots. Parallel robots, known for their high precision and load-bearing capacity, are extensively used in precision assembly under heavy load conditions. Therefore, human-parallel-robot collaboration is an excellent solution for such problems. In this paper, a framework is proposed that is easy to realize in production, using human-parallel-robot collaboration technology for cabin segment docking. A fractional-order variable damping admittance control and an inverse dynamics robust controller are proposed to enhance the robot's compliance, responsiveness, and trajectory tracking accuracy during collaborative assembly. This allows operators to dynamically adjust the robot's motion in real-time, counterbalancing inertial forces and preventing collisions between segments. Segment docking assembly experiments are performed using the Stewart platform in this study. The results show that the proposed method allows the robot to swiftly respond to interaction forces, maintaining compliance and stable motion accuracy even under unknown interaction forces.