Experiences of health care providers on pregnancy and childbirth care during the COVID-19 pandemic in Iran: a phenomenological study.

BACKGROUND: Coronavirus currently cause a lot of pressure on the health system. Accordingly, many changes occurred in the way of providing health care, including pregnancy and childbirth care. To our knowledge, no studies on experiences of maternity care Providers during the COVID-19 Pandemic have been published in Iran. We aimed to discover their experiences on pregnancy and childbirth care during the current COVID-19 pandemic. METHODS: This study was a qualitative research performed with a descriptive phenomenological approach. The used sampling method was purposive sampling by taking the maximum variation possible into account, which continued until data saturation. Accordingly, in-depth and semi-structured interviews were conducted by including 12 participants, as 4 gynecologists, 6 midwives working in the hospitals and private offices, and 2 midwives working in the health centers. Data were analyzed using Colaizzi's seven stage method with MAXQDA10 software. RESULTS: Data analysis led to the extraction of 3 themes, 9 categories, and 25 subcategories. The themes were as follows: "Fear of Disease", "Burnout", and "Lessons Learned from the COVID-19 Pandemic", respectively. CONCLUSIONS: Maternal health care providers experience emotional and psychological stress and work challenges during the current COVID-19 pandemic. Therefore, comprehensive support should be provided for the protection of their physical and mental health statuses. By working as a team, utilizing the capacity of telemedicine to care and follow up mothers, and providing maternity care at home, some emerged challenges to maternal care services can be overcome.

Resilience and Stress during Pregnancy: A Comprehensive Multidimensional Approach in Maternal and Perinatal Health.

This narrative review addresses resilience and stress during pregnancy, which is part of a broader concept of maternal health. Pregnancy and postpartum are opportune periods for health promotion interventions, especially because the close contact of the women with health professionals. In this way, it can be considered a useful window of opportunity to identify women at higher risk for adverse outcomes. Integrated health is a concept that aims at providing comprehensive care related to the promotion of individuals' physical, mental, and social well-being. In this context, stress during pregnancy has been targeted as a remarkable condition to be addressed whether due to individual issues, social issues, or specific pregnancy issues, since it is directly and indirectly associated with pregnancy complications. Stress is associated with preterm birth, postpartum depression, anxiety, child neurodevelopment, and fetal distress. The way that an individual faces a stressful and adverse situation is called resilience; this reaction is individual, dynamic, and contextual, and it can affect maternal and fetal outcomes. Low resilience has been associated with poorer pregnancy outcomes. The social context of pregnancy can act as a protective or contributory (risk) factor, indicating that environments of high social vulnerability play a negative role in resilience and, consequently, in perceived stress. A given stressor can be enhanced or mitigated depending on the social context that was imposed, as well as it can be interpreted as different degrees of perceived stress and faced with a higher or lower degree of resilience. Understanding these complex mechanisms may be valuable for tackling this matter. Therefore, in the pregnancy-puerperal period, the analysis of the stress-resilience relationship is essential, especially in contexts of greater social vulnerability, and is a health-promoting factor for both the mother and baby.

Evaluating Neonatal Telehealth Programs Using the STEM Framework.

The COVID-19 pandemic has caused an explosive adoption of telehealth in pediatrics . However, there remains substantial variation in evaluation methods and measures of these programs despite introduction of measurement frameworks in the last five years. In addition, for neonatal health care, assessing a telehealth program must measure its benefits and costs for four stakeholder groups - patients, providers, healthcare system, and payers. Because of differences in their role within the health system, each group's calculation of telehealth's value may align or not with one another, depending on how it is being used. Therefore, a common mental model for determining value is critical in order to use telehealth in ways that produce win-win situations for most if not all four stakeholder groups. In this chapter, we present important principles and concepts from previously published frameworks to propose an approach to telehealth evaluation that can be used for perinatal health. Such a framework will then drive future development and implementation of telehealth programs to provide value for all relevant stakeholders in a perinatal health care system.

The rise of tele-mental health in perinatal settings.

We discuss the use of tele-mental health in settings serving expectant parents in fetal care centers and parents with children receiving treatment in neonatal intensive care units within a pediatric institution. Our emphasis is on the dramatic rise of tele-mental health service delivery for this population in the wake of the onset of the COVID-19 pandemic in the U.S., including relevant practice regulations, challenges and advantages associated with the transition to tele-mental health in these perinatal settings.

Education in developing countries and reducing maternal mortality: a forgotten piece of the puzzle?

Despite substantial improvement in reducing maternal mortality during the recent decades, we constantly face tragic fact that maternal mortality (especially preventable deaths) is still unacceptably too high, particularly in the developing countries, where 99% of all maternal deaths worldwide occur. Poverty, lack of proper statistics, gender inequality, beliefs and corruption-associated poor governmental policies are just few of the reasons why decline in maternal mortality has not been as sharp as it was wished and expected. Education has not yet been fully recognized as the way out of poverty, improvement of women's role in the society and consequent better perinatal care and consequent lower maternal mortality. Education should be improved on all levels including girls, women and their partners, medical providers, religious and governmental authorities. Teaching the teachers should be also an essential part of global strategy to lower maternal mortality. This paper is mostly a commentary, not a systematic review nor a meta-analysis with the aim to rise attention (again) to the role of different aspects of education in lowering maternal mortality. The International Academy of Perinatal Medicine should play a crucial role in pushing the efforts on this issue as the influential instance that promotes reflection and dialog in perinatal medicine, especially in aspects such as bioethics, the appropriate use of technological advances, and the sociological and humanistic dimensions of this specific problem of huge magnitude. The five concrete steps to achieve these goals are listed and discussed.

Breastfeeding Education and Support to Improve Early Initiation and Exclusive Breastfeeding Practices and Infant Growth: A Cluster Randomized Controlled Trial from a Rural Ethiopian Setting.

Although peer-led education and support may improve breastfeeding practices, there is a paucity of evidence on the effectiveness of such interventions in the Ethiopian context. We designed a cluster-randomized trial to evaluate the efficacy of a breastfeeding education and support intervention (BFESI) on infant growth, early initiation (EI), and exclusive breastfeeding (EBF) practices. We randomly assigned 36 clusters into either an intervention group (n = 249) receiving BFESI by trained Women's Development Army (WDA) leaders or a control group (n = 219) receiving routine care. The intervention was provided from the third trimester of pregnancy until five months postpartum. Primary study outcomes were EI, EBF, and infant growth; secondary outcomes included maternal breastfeeding knowledge and attitude, and child morbidity. The intervention effect was analysed using linear regression models for the continuous outcomes, and linear probability or logistic regression models for the categorical outcomes. Compared to the control, BFESI significantly increased EI by 25.9% (95% CI: 14.5, 37.3%; p = 0.001) and EBF by 14.6% (95% CI: 3.77, 25.5%; p = 0.010). Similarly, the intervention gave higher breastfeeding attitude scores (Effect size (ES): 0.85SD; 95% CI: 0.70, 0.99SD; p < 0.001), but not higher knowledge scores (ES: 0.15SD; 95% CI: -0.10, 0.41SD; p = 0.173). From the several growth and morbidity outcomes evaluated, the only outcomes with significant intervention effect were a higher mid-upper arm circumference (ES: 0.25cm; 95% CI: 0.01, 0.49cm; p = 0.041) and a lower prevalence of respiratory infection (ES: -6.90%; 95% CI: -13.3, -0.61%; p = 0.033). Training WDA leaders to provide BFESI substantially improves EI and EBF practices and attitude towards breastfeeding.

Using Telehealth Approaches to Address Social Determinants of Health and Improve Pregnancy and Postpartum Outcomes.

Telehealth has expanded its reach significantly since its inception due to the advances in technology over the last few decades. Social determinants of health (SDOH) negatively impact the health of pregnant and postpartum women and need to be considered when deploying telehealth strategies. In this article, we describe telehealth modalities and their application to improve the SDOH that impact pregnancy and postpartum outcomes. Physicians and patients alike report satisfaction with telehealth as it improves access to education, disease monitoring, specialty care, prenatal and postpartum care. Ten years ago, we developed a program, Moms2B, to eliminate disparities in pregnancy outcomes for underserved women. Using a case study, we describe how Moms2B, devoted to improve the SDOH for pregnant women, transitioned from an in-person to a virtual format. Telehealth benefited women before the recent coronavirus disease 2019 pandemic and increasingly after emergency authorizations has allowed telehealth to flourish.

Reproducing normative femininity: Women's evaluations of their birth experiences analysed by means of word frequency and thematic analysis.

BACKGROUND: Given the significance of the birth experience on women's and babies' well-being, assessing and understanding maternal satisfaction is important for providing optimal care. While previous research has thoroughly reviewed women's levels of satisfaction with the childbirth experience from a multitude of different angles, there is a dearth of papers that use a gender lens in this area. The aim of this study is to explore through a gender perspective the circumstances attributed to both women's assessment of a positive birth experience and those which contribute to a lack of satisfaction with their birth experience. METHODS: Through the use of a local birth evaluation form at a Swedish labour ward, 190 women gave written evaluations of their birth experiences. The evaluations were divided into groups of positive, ambiguous, and negative evaluations. By means of a latent and constructionist thematic analysis based on word count, women's evaluations are discussed as reflections of the underlying sociocultural ideas, assumptions, and ideologies that shape women's realities. RESULTS: Three themes were identified: Grateful women and nurturing midwives doing gender together demonstrates how a gender-normative behaviour may influence a positive birth experience when based on a reciprocal relationship. Managing ambiguous feelings by sympathising with the midwife shows how women's internalised sense of gender can make women belittle their negative experiences and refrain from delivering criticism. The midwifery model of relational care impeded by the labour care organisation describes how the care women receive during labour and birth is regulated by an organisation not always adapted to the benefit of birthing women. CONCLUSIONS: Most women were very satisfied, predominantly with emotional support they received from the midwives. The latent constructionist thematic analysis also elicited women's mixed feelings towards the birth experience, with the majority of negative experiences directed towards the labour care organisation. Recognising the impact of institutional and medical discourses on childbirth, women's birth evaluations demonstrate the benefits and challenges of gender-normative behaviour, where women's internalised sense of gender was found to affect their experiences. A gender perspective may provide a useful tool in unveiling gender-normative complexities surrounding the childbirth experience.

A birth population-based survey of preterm morbidity and mortality by gestational age.

BACKGROUND: Despite 15-17 millions of annual births in China, there is a paucity of information on prevalence and outcome of preterm birth. We characterized the outcome of preterm births and hospitalized preterm infants by gestational age (GA) in Huai'an in 2015, an emerging prefectural region of China. METHODS: Of 59,245 regional total births, clinical data on 2651 preterm births and 1941 hospitalized preterm neonates were extracted from Huai'an Women and Children's Hospital (HWCH) and non-HWCH hospitals in 2018-2020. Preterm prevalence, morbidity and mortality rates were characterized and compared by hospital categories and GA spectra. Death risks of preterm births and hospitalized preterm infants in the whole region were analyzed with multivariable Poisson regression. RESULTS: The prevalence of extreme, very, moderate, late and total preterm of the regional total births were 0.14, 0.53, 0.72, 3.08 and 4.47%, with GA-specific neonatal mortality rates being 44.4, 15.8, 3.7, 1.5 and 4.3%, respectively. There were 1025 (52.8% of whole region) preterm admissions in HWCH, with significantly lower in-hospital death rate of inborn (33 of 802, 4.1%) than out-born (23 of 223, 10.3%) infants. Compared to non-HWCH, three-fold more neonates in HWCH were under critical care with higher death rate, including most extremely preterm infants. Significantly all-death risks were found for the total preterm births in birth weight <  1000 g, GA < 32 weeks, amniotic fluid contamination, Apgar-5 min < 7, and birth defects. For the hospitalized preterm infants, significantly in-hospital death risks were found in out-born of HWCH, GA < 32 weeks, birth weight <  1000 g, Apgar-5 min < 7, birth defects, respiratory distress syndrome, necrotizing enterocolitis and ventilation, whereas born in HWCH, antenatal glucocorticoids, cesarean delivery and surfactant use decreased the death risks. CONCLUSIONS: The integrated data revealed the prevalence, GA-specific morbidity and mortality rate of total preterm births and their hospitalization, demonstrating the efficiency of leading referral center and whole regional perinatal-neonatal network in China. The concept and protocol should be validated in further studies for prevention of preterm birth.

The role of digital clinical decision support tool in improving quality of intrapartum and postpartum care: experiences from two states of India.

BACKGROUND: Computerized clinical decision support (CDSS) -digital information systems designed to improve clinical decision making by providers - is a promising tool for improving quality of care. This study aims to understand the uptake of ASMAN application (defined as completeness of electronic case sheets), the role of CDSS in improving adherence to key clinical practices and delivery outcomes. METHODS: We have conducted secondary analysis of program data (government data) collected from 81 public facilities across four districts each in two sates of Madhya Pradesh and Rajasthan. The data collected between August -October 2017 (baseline) and the data collected between December 2019 - March 2020 (latest) was analysed. The data sources included: digitized labour room registers, case sheets, referral and discharge summary forms, observation checklist and complication format. Descriptive, univariate and multivariate and interrupted time series regression analyses were conducted. RESULTS: The completeness of electronic case sheets was low at postpartum period (40.5%), and in facilities with more than 300 deliveries a month (20.9%). In multivariate logistic regression analysis, the introduction of technology yielded significant improvement in adherence to key clinical practices. We have observed reduction in fresh still births rates and asphyxia, but these results were not statistically significant in interrupted time series analysis. However, our analysis showed that identification of maternal complications has increased over the period of program implementation and at the same time referral outs decreased. CONCLUSIONS: Our study indicates CDSS has a potential to improve quality of intrapartum care and delivery outcome. Future studies with rigorous study design is required to understand the impact of technology in improving quality of maternity care.

Psychosocial stratification of antenatal indicators to guide population-based programs in perinatal depression.

BACKGROUND: There is increasing awareness that perinatal psychosocial adversity experienced by mothers, children, and their families, may influence health and well-being across the life course. To maximise the impact of population-based interventions for optimising perinatal wellbeing, health services can utilise empirical methods to identify subgroups at highest risk of poor outcomes relative to the overall population. METHODS: This study sought to identify sub-groups using latent class analysis within a population of mothers in Sydney, Australia, based on their differing experience of self-reported indicators of psychosocial adversity. This study sought to identify sub-groups using latent class analysis within a population of mothers in Sydney, Australia, based on their differing experience of self-reported indicators of psychosocial adversity. Subgroup differences in antenatal and postnatal depressive symptoms were assessed using the Edinburgh Postnatal Depression Scale. RESULTS: Latent class analysis identified four distinct subgroups within the cohort, who were distinguished empirically on the basis of their native language, current smoking status, previous involvement with Family-and-Community Services (FaCS), history of child abuse, presence of a supportive partner, and a history of intimate partner psychological violence. One group consisted of socially supported 'local' women who speak English as their primary language (Group L), another of socially supported 'migrant' women who speak a language other than English as their primary language (Group M), another of socially stressed 'local' women who speak English as their primary language (Group Ls), and socially stressed 'migrant' women who speak a language other than English as their primary language (Group Ms.). Compared to local and not socially stressed residents (L group), the odds of antenatal depression were nearly three times higher for the socially stressed groups (Ls OR: 2.87 95%CI 2.10-3.94) and nearly nine times more in the Ms. group (Ms OR: 8.78, 95%CI 5.13-15.03). Antenatal symptoms of depression were also higher in the not socially stressed migrant group (M OR: 1.70 95%CI 1.47-1.97) compared to non-migrants. In the postnatal period, Group M was 1.5 times more likely, while the Ms. group was over five times more likely to experience suboptimal mental health compared to Group L (OR 1.50, 95%CI 1.22-1.84; and OR 5.28, 95%CI 2.63-10.63, for M and Ms. respectively). CONCLUSIONS: The application of empirical subgrouping analysis permits an informed approach to targeted interventions and resource allocation for optimising perinatal maternal wellbeing.

Birthweight: EN-BIRTH multi-country validation study.

BACKGROUND: Accurate birthweight is critical to inform clinical care at the individual level and tracking progress towards national/global targets at the population level. Low birthweight (LBW) < 2500 g affects over 20.5 million newborns annually. However, data are lacking and may be affected by heaping. This paper evaluates birthweight measurement within the Every Newborn Birth Indicators Research Tracking in Hospitals (EN-BIRTH) study. METHODS: The EN-BIRTH study took place in five hospitals in Bangladesh, Nepal and Tanzania (2017-2018). Clinical observers collected time-stamped data (gold standard) for weighing at birth. We compared accuracy for two data sources: routine hospital registers and women's report at exit interview survey. We calculated absolute differences and individual-level validation metrics. We analysed birthweight coverage and quality gaps including timing and heaping. Qualitative data explored barriers and enablers for routine register data recording. RESULTS: Among 23,471 observed births, 98.8% were weighed. Exit interview survey-reported weighing coverage was 94.3% (90.2-97.3%), sensitivity 95.0% (91.3-97.8%). Register-reported coverage was 96.6% (93.2-98.9%), sensitivity 97.1% (94.3-99%). Routine registers were complete (> 98% for four hospitals) and legible > 99.9%. Weighing of stillbirths varied by hospital, ranging from 12.5-89.0%. Observed LBW rate was 15.6%; survey-reported rate 14.3% (8.9-20.9%), sensitivity 82.9% (75.1-89.4%), specificity 96.1% (93.5-98.5%); register-recorded rate 14.9%, sensitivity 90.8% (85.9-94.8%), specificity 98.5% (98-99.0%). In surveys, "don't know" responses for birthweight measured were 4.7%, and 2.9% for knowing the actual weight. 95.9% of observed babies were weighed within 1 h of birth, only 14.7% with a digital scale. Weight heaping indices were around two-fold lower using digital scales compared to analogue. Observed heaping was almost 5% higher for births during the night than day. Survey-report further increased observed birthweight heaping, especially for LBW babies. Enablers to register birthweight measurement in qualitative interviews included digital scale availability and adequate staffing. CONCLUSIONS: Hospital registers captured birthweight and LBW prevalence more accurately than women's survey report. Even in large hospitals, digital scales were not always available and stillborn babies not always weighed. Birthweight data are being captured in hospitals and investment is required to further improve data quality, researching of data flow in routine systems and use of data at every level.

Immediate newborn care and breastfeeding: EN-BIRTH multi-country validation study.

BACKGROUND: Immediate newborn care (INC) practices, notably early initiation of breastfeeding (EIBF), are fundamental for newborn health. However, coverage tracking currently relies on household survey data in many settings. "Every Newborn Birth Indicators Research Tracking in Hospitals" (EN-BIRTH) was an observational study validating selected maternal and newborn health indicators. This paper reports results for EIBF. METHODS: The EN-BIRTH study was conducted in five public hospitals in Bangladesh, Nepal, and Tanzania, from July 2017 to July 2018. Clinical observers collected tablet-based, time-stamped data on EIBF and INC practices (skin-to-skin within 1 h of birth, drying, and delayed cord clamping). To assess validity of EIBF measurement, we compared observation as gold standard to register records and women's exit-interview survey reports. Percent agreement was used to assess agreement between EIBF and INC practices. Kaplan Meier survival curves showed timing. Qualitative interviews were conducted to explore barriers/enablers to register recording. RESULTS: Coverage of EIBF among 7802 newborns observed for ≥1 h was low (10.9, 95% CI 3.8-21.0). Survey-reported (53.2, 95% CI 39.4-66.8) and register-recorded results (85.9, 95% CI 58.1-99.6) overestimated coverage compared to observed levels across all hospitals. Registers did not capture other INC practices apart from breastfeeding. Agreement of EIBF with other INC practices was high for skin-to-skin (69.5-93.9%) at four sites, but fair/poor for delayed cord-clamping (47.3-73.5%) and drying (7.3-29.0%). EIBF and skin-to-skin were the most delayed and EIBF rarely happened after caesarean section (0.5-3.6%). Qualitative findings suggested that focusing on accuracy, as well as completeness, contributes to higher quality with register reporting. CONCLUSIONS: Our study highlights the importance of tracking EIBF despite measurement challenges and found low coverage levels, particularly after caesarean births. Both survey-reported and register-recorded data over-estimated coverage. EIBF had a strong agreement with skin-to-skin but is not a simple tracer for other INC indicators. Other INC practices are challenging to measure in surveys, not included in registers, and are likely to require special studies or audits. Continued focus on EIBF is crucial to inform efforts to improve provider practices and increase coverage. Investment and innovation are required to improve measurement.

Electronic data collection for multi-country, hospital-based, clinical observation of maternal and newborn care: EN-BIRTH study experiences.

BACKGROUND: Observation of care at birth is challenging with multiple, rapid and potentially concurrent events occurring for mother, newborn and placenta. Design of electronic data (E-data) collection needs to account for these challenges. The Every Newborn Birth Indicators Research Tracking in Hospitals (EN-BIRTH) was an observational study to assess measurement of indicators for priority maternal and newborn interventions and took place in five hospitals in Bangladesh, Nepal and Tanzania (July 2017-July 2018). E-data tools were required to capture individually-linked, timed observation of care, data extraction from hospital register-records or case-notes, and exit-survey data from women. METHODS: To evaluate this process for EN-BIRTH, we employed a framework organised around five steps for E-data design, data collection and implementation. Using this framework, a mixed methods evaluation synthesised evidence from study documentation, standard operating procedures, stakeholder meetings and design workshops. We undertook focus group discussions with EN-BIRTH researchers to explore experiences from the three different country teams (November-December 2019). Results were organised according to the five a priori steps. RESULTS: In accordance with the five-step framework, we found: 1) Selection of data collection approach and software: user-centred design principles were applied to meet the challenges for observation of rapid, concurrent events around the time of birth with time-stamping. 2) Design of data collection tools and programming: required extensive pilot testing of tools to be user-focused and to include in-built error messages and data quality alerts. 3) Recruitment and training of data collectors: standardised with an interactive training package including pre/post-course assessment. 4) Data collection, quality assurance, and management: real-time quality assessments with a tracking dashboard and double observation/data extraction for a 5% case subset, were incorporated as part of quality assurance. Internet-based synchronisation during data collection posed intermittent challenges. 5) Data management, cleaning and analysis: E-data collection was perceived to improve data quality and reduce time cleaning. CONCLUSIONS: The E-Data system, custom-built for EN-BIRTH, was valued by the site teams, particularly for time-stamped clinical observation of complex multiple simultaneous events at birth, without which the study objectives could not have been met. However before selection of a custom-built E-data tool, the development time, higher training and IT support needs, and connectivity challenges need to be considered against the proposed study or programme's purpose, and currently available E-data tool options.