Adapting obstetric and neonatal services during the COVID-19 pandemic: a scoping review

Crisis Management by Obstetrics and Gynecologist Hospitalists: Lessons Learned in a Pandemic

We discuss lessons learned from the COVID-19 pandemic through an obstetrics and gynecology (OB/GYN) hospitalist lens, with a focus on clinical care considerations, workforce changes, communication and collaboration, and provider wellness. We end with a discussion on the role of OB/GYN hospitalists as leaders. Our goal is to share what worked well for hospital systems and OB/GYN hospitalist teams during COVID-19, along with recommendations to consider for future national emergencies.

Providing optimal care in the neonatal care units in India: How Covid-19 exacerbated existing barriers

Nearly one quarter (600,000) of all neonatal deaths worldwide per year occur in India. To reduce neonatal mortality, the Indian Ministry of Health and Family Welfare established neonatal care units, including neonatal intensive care units and specialized neonatal care units to provide immediate care at birth, resuscitation for asphyxiation, postnatal care, follow up for high-risk newborns, immunization, and referral for additional or complex healthcare services. Despite these efforts, neonatal mortality remains high, and measures taken to reduce mortality have been severely challenged by multiple problems caused by the Covid-19 pandemic. In this qualitative study, we conducted seven focus group discussions with newborn care unit nurses and pediatric residents and 35 key informant interviews with pediatricians, residents, nurses, annual equipment maintenance contractors, equipment manufacturers, and Ministry personnel in the Vidarbha region of Maharashtra between December 2019 and November 2020. The goal of the study was to understand barriers and facilitators to providing optimal care to neonates, including the challenges imposed by the Covid-19 pandemic. Covid-19 exacerbated existing barriers to providing optimal care to neonates in these newborn care units. As a result of Covid-19, we found the units were even more short-staffed than usual, with trained pediatric nurses and essential equipment diverted from newborn care to attend to patients with Covid-19. Regular training of neonatal nursing staff was also disrupted due to Covid-19, leaving many staff without the skills to provide optimate care to neonates. Infection control was also exacerbated by Covid-19. This study highlights the barriers to providing optimal care for neonates were made even more challenging during Covid-19 because of the diversion of critically important neonatal equipment and staff trained to use that equipment to Covid-19 wards. The barriers at the individual, facility, and systems levels will remain challenging as the Covid-19 pandemic continues.

Interprofessional Teamwork: A Qualitative Study on Adapting Central Policies to Local Conditions in a Labour and Delivery Unit

OBJECTIVES

We record the experiences of staff in a labour, delivery, and obstetric services (LD-OBS) unit in Alberta's largest quaternary medical centre-the Foothills Medical Centre (FMC)-as they navigated hospital policies during the COVID-19 pandemic. We examine how unit leadership applied these policies to better align with care delivery realities while staying true to the interprofessional nature of the unit.

METHODS

A total of 12 semi-structured qualitative interviews were conducted with LD-OBS unit staff. Snowball and purposive sampling strategies were used to capture experiences from key informants. Interview transcripts underwent inductive coding. The themes identified through this process were discussed with members of the authorial team until a consensus was reached.

RESULTS

FMC LD-OBS team members used 'interprofessional' as a value through which to interpret, adapt, and implement centrally developed COVID-19 policies. These were applied at 3 key moments: reconfiguring the unit, triaging, and rerouting patients, and contesting central personal protective equipment policies. LD-OBS leaders championed the importance of interprofessional collaboration and teamwork in the unit and worked to uphold it as a practice and value.

CONCLUSION

The COVID-19 pandemic experience of the FMC LD-OBS unit illustrates the importance of considering interprofessionalism as a core value as policy was developed and implemented. Health authorities, hospitals, and other LD-OBS units may wish to consider how interprofessional work affects policy interpretation among health care teams, and how this may be leveraged to successfully adapt policies to local units, under both pandemic and 'normal' conditions.

Midwifery care for a COVID-19 cohort of women in Northern Italy: two years of pandemic

BACKGROUND

The rapid development of the COVID-19 pandemic has altered the context of healthcare around the world. SARS-CoV-2 positive pregnant and postnatal women, being at greater risk of complications, require continuous midwifery surveillance as well as specialized medical care. Scientific literature lacks studies related to midwifery care models in hospital settings during the pandemic. The aim of this work is to describe hospitalizations in an obstetric-gynecological COVID care unit and to provide a descriptive analysis of the organizational and care model adopted.

METHODS

A cohort retrospective descriptive study was carried out. The sample was stratified by COVID-related care complexity and by obstetric risk. The sample recruited pregnant women, postnatal women, and gynecological patients with confirmed SARS-CoV-2 infection admitted to the obstetric-gynecological COVID unit of a birth center in Northern Italy, from March 16, 2020, to March 16, 2022.

RESULTS

A number of 1037 women were hospitalized, and of these, 551 were SARS-CoV-2 positive women. The 551 SARS-CoV-2 positive women included 362 pregnant women, 132 postnatal women, 9 gynecological patients with medical diagnosis while 17 with a surgical path, and 31 women undergoing voluntary interruption of pregnancy. The final sample included 536 women. 68.6% of women requested a low care complexity, 22.8% a medium one, and 8.6% a high care complexity. Among the obstetric women population, the majority (70.6%) showed a high obstetric risk.

CONCLUSIONS

The COVID-19 cohort of women required different levels of care with various care complexity and levels of obstetric risk. The model adopted allowed the acquisition of new technical and professional skills as well as the sharing of responsibilities and competences according to the care model of the Buddy System. Future studies could investigate COVID-related care models adopted internationally, but also deepen the technical and professional skills developed by midwives during the pandemic in order to enrich, improve and support midwifery profession.

The pandemic experiences of Ontario perinatal providers: a qualitative study

BACKGROUND

The COVID-19 pandemic has produced widespread disruptions for healthcare systems across Canada. Perinatal care in Ontario, Canada was subject to province-wide public health restrictions, reallocation of hospital beds and human health resources. To better understand the impacts of the pandemic on Ontario perinatal care, this study explored the perspectives of perinatal care providers about their clinical COVID-19 pandemic experiences.

METHODS

Semi-structured key informant virtual interviews were conducted between August 2021 and January 2022 with 15 Ontario-based perinatal care providers. Recorded interviews were transcribed, and thematic content analysis used to identify major themes and subthemes.

RESULTS

Participants were mainly women, practicing in Eastern and Central Ontario as health providers (obstetricians, nurses, midwives), allied regulated health professionals (social worker, massage therapist), and perinatal support workers (doula, lactation consultant). Major themes and subthemes were identified inductively as follows: (1) Impacts of COVID-19 on providers (psychosocial stress, healthcare system barriers, healthcare system opportunities); (2) Perceived impacts of COVID-19 on pregnant people (psychosocial stress, amplification of existing healthcare barriers, influences on reproductive decision making; minor theme- social and emotional support roles); (3) Vaccine discourse (provider empathy, vaccines and patient family dynamics, minor themes- patient vaccine hesitancy, COVID-19 misinformation); and (4) Virtual pregnancy care (benefits, disadvantages, adaptation of standard care practices).

CONCLUSIONS

Perinatal care providers reported significant stress and uncertainty caused by the COVID-19 pandemic and evolving hospital protocols. Providers perceived that their patients were distressed by both the pandemic and related reductions in pregnancy healthcare services including hospital limits to support companion(s). Although virtual pregnancy care impaired patient-provider rapport, most providers believed that the workflow efficiencies and patient convenience of virtual care is beneficial to perinatal healthcare.

Impact of COVID-19 on Dental Practices in El Salvador and Mexico: A Comprehensive Survey Analysis

BACKGROUND AND OBJECTIVES

This study aimed to identify the relationship between prevention measures and protective barriers in dental practice in El Salvador and Mexico during the COVID-19 pandemic in 2020 and 2021.

MATERIALS AND METHODS

A longitudinal study was conducted from June 2020 to December 2021, involving 1,719 dentists divided into four groups based on location and year. A 20-question survey in Spanish was utilized and validated with a Cronbach's alpha value of 0.84.

RESULTS

The use of phone triage (OR = 1.3), thermometers (OR = 1.4), physical distancing (OR = 1.7), and face shields (OR = 2.6) was significantly associated with dental practice in both countries during the pandemic.

CONCLUSIONS

During 2020 and 2021, dental care in El Salvador and Mexico was significantly linked to COVID-19 preventive measures. Phone triage, thermometers, distancing, and face shields positively correlated with dental services. National health agencies should promote the use of minimum preventive measures in dental care, preparing for potential reinfections or new pandemics from emerging virus variants.

Predicting adverse outcomes in pregnant patients positive for SARS-CoV-2: a machine learning approach- a retrospective cohort study

BACKGROUND

Pregnant people are particularly vulnerable to SARS-CoV-2 infection and to ensuing severe illness. Predicting adverse maternal and perinatal outcomes could aid clinicians in deciding on hospital admission and early initiation of treatment in affected individuals, streamlining the triaging processes.

METHODS

An international repository of 1501 SARS-CoV-2-positive cases in pregnancy was created, consisting of demographic variables, patient comorbidities, laboratory markers, respiratory parameters, and COVID-19-related symptoms. Data were filtered, preprocessed, and feature selection methods were used to obtain the optimal feature subset for training a variety of machine learning models to predict maternal or fetal/neonatal death or critical illness.

RESULTS

The Random Forest model demonstrated the best performance among the trained models, correctly identifying 83.3% of the high-risk patients and 92.5% of the low-risk patients, with an overall accuracy of 89.0%, an AUC of 0.90 (95% Confidence Interval 0.83 to 0.95), and a recall, precision, and F1 score of 0.85, 0.94, and 0.89, respectively. This was achieved using a feature subset of 25 features containing patient characteristics, symptoms, clinical signs, and laboratory markers. These included maternal BMI, gravidity, parity, existence of pre-existing conditions, nicotine exposure, anti-hypertensive medication administration, fetal malformations, antenatal corticosteroid administration, presence of dyspnea, sore throat, fever, fatigue, duration of symptom phase, existence of COVID-19-related pneumonia, need for maternal oxygen administration, disease-related inpatient treatment, and lab markers including sFLT-1/PlGF ratio, platelet count, and LDH.

CONCLUSIONS

We present the first COVID-19 prognostication pipeline specifically for pregnant patients while utilizing a large SARS-CoV-2 in pregnancy data repository. Our model accurately identifies those at risk of severe illness or clinical deterioration, presenting a promising tool for advancing personalized medicine in pregnant patients with COVID-19.

Managing Labour in Women with COVID-19

Since first reported in December 2019 in Wuhan, China, COVID-19 caused by Severe Acute Respiratory Syndrome (SARS) Corona virus2 (SARS CoV-2) quickly spread to become a pandemic that has caused significant morbidity and mortality. The rapidity of the spread of the virus and the high mortality at the outset threatened to overwhelm health systems worldwide, and, indeed, this significantly impacted maternal health, especially since there was minimal experience to draw from. Experience with Covid 19 has grown exponentially as the unique needs of pregnant and labouring women with COVID-19 infection have become more evident. Managing COVID-19 parturients requires a multidisciplinary team consisting of anaesthesiologists, obstetricians, neonatologists, nursing staff, critical care staff, infectious disease and infection control experts. There should be a clear policy on triaging patients depending on the severity of their condition and the stage of labour. Those at high risk of respiratory failure should be managed in a tertiary referral centre with facilities for intensive care and assisted respiration. Staff and patients in delivery suites and operating rooms should be protected by enforcing infection protection principles such as offering dedicated rooms and theatres to SARS CoV-2 positive patients and using personal protective equipment. All hospital staff must be trained in infection control measures which should be updated regularly. Breastfeeding and care of the new-born must be part of the healthcare package offered to COVID-19 parturient mothers.

Functional consequences of SARS-CoV-2 infection in pregnant women, fetoplacental unit, and neonate

The SARS-CoV-2 infection causes COVID-19 disease, characterized by acute respiratory distress syndrome, bilateral pneumonia, and organ failure. The consequences of maternal SARS-CoV-2 infection for the pregnant woman, fetus, and neonate are controversial. Thus, it is required to determine whether there is viral and non-viral vertical transmission in COVID-19. The disease caused by SARS-CoV-2 leads to functional alterations in asymptomatic and symptomatic pregnant women, the fetoplacental unit and the neonate. Several diseases of pregnancy, including COVID-19, affect the fetoplacental function, which causes in utero programming for young and adult diseases. A generalized inflammatory state and a higher risk of infection are seen in pregnant women with COVID-19. Obesity, diabetes mellitus, and hypertension may increase the vulnerability of pregnant women to infection by SARS-CoV-2. Alpha, Delta, and Omicron variants of SARS-CoV-2 show specific mutations that seem to increase the capacity of the virus to infect the pregnant woman, likely due to increasing its interaction via the virus S protein and angiotensin-converting enzyme 2 receptors. This review shows the literature addressing to what extent COVID-19 in pregnancy affects the pregnant woman, fetoplacental unit, and neonate. Prospective studies that are key in managing SARS-CoV-2 infection in pregnancy are discussed.

Increased maternal mortality in unvaccinated SARS-CoV-2 infected pregnant patients

The aim of this study was to demonstrate the poor prognosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in unvaccinated pregnant women. In this retrospective study, the clinical and laboratory parameters of 26 pregnant or immediately postpartum patients, who were hospitalised and needed intensive care unit (ICU) follow-up due to coronavirus disease 2019 (COVID-19) infection were reported. All pregnant patients who followed up in the ICU were unvaccinated. The mortality rate was calculated as 34.62% in the patients included in the study who were admitted to the ICU. Among patients hospitalised in the ICU, the maternal mortality and stillbirth rates associated with COVID-19 infection were found to be 156.28/100,000 and 11.54%, respectively. Preterm birth occurred in 58.33% of the patients who delivered. 79.17% of the patients were delivered by caesarean section. Lymphopenia, high ferritin, interleukin-6, lactate dehydrogenase, D-dimer and C-reactive protein values were found to be associated with mortality. The course of pregnant patients with COVID-19 infection is not always predictable. Clinical and laboratory data should be evaluated in combination for disease prognosis. Adequate information should be given about the importance of vaccination.Impact StatementWhat is already known on this subject? The SARS-CoV-2 infection has caused a public health crisis worldwide. As a result of studies on coronavirus disease 2019 (COVID-19) infected pregnant women, it was observed that there was an increase in maternal and perinatal mortality. There has been an increase in intensive care unit (ICU) admissions, especially after patients infected with the Delta variant. The pandemic continues with an unpredictable course of the new variants.What do the results of this study add? Compared to the pre-pandemic period, COVID-19 infection caused a more than 10-fold increase in maternal mortality, particularly after the Delta variant. In intensive care follow-up, low lymphocyte count, high lactate dehydrogenase, D-dimer, C-reactive protein, ferritin and interleukin-6 values are indicators of poor prognosis.What are the implications of these findings for clinical practice and/or further research? COVID-19 infection causes increased maternal mortality. Considering that all of the patients admitted to the ICU in our study were unvaccinated, pregnant women should be encouraged to get vaccinated.

Preeclampsia and Severe Maternal Morbidity During the COVID-19 Pandemic: A Population-Based Cohort Study in Ontario, Canada

Objective

Significant changes to the delivery of obstetrical care that occurred with the onset of the COVID-19 pandemic may be associated with higher risks of adverse maternal outcomes. We evaluated preeclampsia/HELLP (hemolysis, elevated liver enzymes and low platelets) syndrome and composite severe maternal morbidity (SMM) among pregnant people who gave birth during the COVID-19 pandemic and compared these data with those of people who gave birth before the pandemic in Ontario, Canada.

Methods

This was a population-based, retrospective cohort study using linked administrative data sets from ICES. Data on pregnant people at ≥20 weeks gestation who gave birth between March 15, 2020, and September 30, 2021, were compared with those of pregnant people who gave birth within the same date range for the years 2015–2019. We used multivariable logistic regression to assess the effect of the pandemic period on the odds of preeclampsia/HELLP syndrome and composite SMM, adjusting for maternal baseline characteristics and comorbidities.

Results

There were no differences between the study periods in the adjusted odds ratios (aORs) for preeclampsia/HELLP syndrome among primiparous (aOR 1.00; 95% CI 0.91–1.11) and multiparous (aOR 0.94; 95% CI 0.81–1.09) patients and no differences for composite SMM (primiparous, aOR 1.00; 95% CI 0.95–1.05; multiparous, aOR 1.01; 95% CI 0.95–1.08).

Conclusion

Adverse maternal outcomes were not higher among pregnant people who gave birth during the first 18 months of the COVID-19 pandemic in Ontario, Canada, when compared with those who gave birth before the pandemic.