Simulation training on respectful emergency obstetric and neonatal care in north-western Madagascar: a mixed-methods evaluation of an innovative training program.

BACKGROUND: The rates of maternal and neonatal deaths in Madagascar are among the highest in the world. In response to a request for additional training from obstetrical care providers at the Ambanja district hospital in north-eastern Madagascar, a partnership of institutions in Switzerland and Madagascar conducted innovative training on respectful emergency obstetric and newborn care using e-learning and simulation methodologies. The training focused on six topics: pre-eclampsia, physiological childbirth, obstetric maneuvers, postpartum hemorrhage, maternal sepsis, and newborn resuscitation. Cross-cutting themes were interprofessional communication and respectful patient care. Ten experienced trainers participated in an e-training-of-trainers course conducted by the Swiss partners. The newly-trained trainers and Swiss partners then jointly conducted the hybrid remote/in-person training for 11 obstetrical care providers in Ambanja. METHODS: A mixed methods evaluation was conducted of the impact of the training on participants' knowledge and practices. Trainees' knowledge was tested before, immediately after, and 6 months after the training. Focus group discussions were conducted to elicit participants' opinions about the training, including the content and pedagogical methods. RESULTS: Trainees' knowledge of the six topics was higher at 6 months (with an average of 71% correct answers) compared to before the training (62%), although it was even higher (83%) immediately after the training. During the focus group discussions, participants highlighted their positive impressions of the training, including its impact on their sense of professional effectiveness. They reported that their interprofessional relationships and focus on respectful care had improved. Simulation, which was a new methodology for the participants native to Madagascar, was appreciated for its engaging and active format, and they enjoyed the hybrid delivery of the training. Participants (including the trainers) expressed a desire for follow-up engagement, including additional training, and improved access to more equipment. CONCLUSION: The evaluation showed improvements in trainees' knowledge and capacity to provide respectful emergency care to pregnant women and newborns across all training topics. The hybrid simulation-based training method elicited strong enthusiasm. Significant opportunity exists to expand the use of hybrid onsite/remote simulation-based training to improve obstetrical care and health outcomes for women and newborns in Madagascar and elsewhere.

Effects of prenatal exposure to maternal COVID-19 and perinatal care on neonatal outcome: results from the INTERCOVID Multinational Cohort Study.

BACKGROUND: The effect of COVID-19 in pregnancy on maternal outcomes and its association with preeclampsia and gestational diabetes mellitus have been reported; however, a detailed understanding of the effects of maternal positivity, delivery mode, and perinatal practices on fetal and neonatal outcomes is urgently needed. OBJECTIVE: To evaluate the impact of COVID-19 on fetal and neonatal outcomes and the role of mode of delivery, breastfeeding, and early neonatal care practices on the risk of mother-to-child transmission. STUDY DESIGN: In this cohort study that took place from March 2020 to March 2021, involving 43 institutions in 18 countries, 2 unmatched, consecutive, unexposed women were concomitantly enrolled immediately after each infected woman was identified, at any stage of pregnancy or delivery, and at the same level of care to minimize bias. Women and neonates were followed up until hospital discharge. COVID-19 in pregnancy was determined by laboratory confirmation and/or radiological pulmonary findings or ≥2 predefined COVID-19 symptoms. The outcome measures were indices of neonatal and perinatal morbidity and mortality, neonatal positivity and its correlation with mode of delivery, breastfeeding, and hospital neonatal care practices. RESULTS: A total of 586 neonates born to women with COVID-19 diagnosis and 1535 neonates born to women without COVID-19 diagnosis were enrolled. Women with COVID-19 diagnosis had a higher rate of cesarean delivery (52.8% vs 38.5% for those without COVID-19 diagnosis, P<.01) and pregnancy-related complications, such as hypertensive disorders of pregnancy and fetal distress (all with P<.001), than women without COVID-19 diagnosis. Maternal diagnosis of COVID-19 carried an increased rate of preterm birth (P≤.001) and lower neonatal weight (P≤.001), length, and head circumference at birth. In mothers with COVID-19 diagnosis, the length of in utero exposure was significantly correlated to the risk of the neonate testing positive (odds ratio, 4.5; 95% confidence interval, 2.2-9.4 for length of in utero exposure >14 days). Among neonates born to mothers with COVID-19 diagnosis, birth via cesarean delivery was a risk factor for testing positive for COVID-19 (odds ratio, 2.4; 95% confidence interval, 1.2-4.7), even when severity of maternal conditions was considered and after multivariable logistic analysis. In the subgroup of neonates born to women with COVID-19 diagnosis, the outcomes worsened when the neonate also tested positive, with higher rates of neonatal intensive care unit admission, fever, gastrointestinal and respiratory symptoms, and death, even after adjusting for prematurity. Breastfeeding by mothers with COVID-19 diagnosis and hospital neonatal care practices, including immediate skin-to-skin contact and rooming-in, were not associated with an increased risk of newborn positivity. CONCLUSION: In this multinational cohort study, COVID-19 in pregnancy was associated with increased maternal and neonatal complications. Cesarean delivery was significantly associated with newborn COVID-19 diagnosis. Vaginal delivery should be considered the safest mode of delivery if obstetrical and health conditions allow it. Mother-to-child skin-to-skin contact, rooming-in, and direct breastfeeding were not risk factors for newborn COVID-19 diagnosis, thus well-established best practices can be continued among women with COVID-19 diagnosis.

Diabetes mellitus, maternal adiposity, and insulin-dependent gestational diabetes are associated with COVID-19 in pregnancy: the INTERCOVID study.

BACKGROUND: Among nonpregnant individuals, diabetes mellitus and high body mass index increase the risk of COVID-19 and its severity. OBJECTIVE: This study aimed to determine whether diabetes mellitus and high body mass index are risk factors for COVID-19 in pregnancy and whether gestational diabetes mellitus is associated with COVID-19 diagnosis. STUDY DESIGN: INTERCOVID was a multinational study conducted between March 2020 and February 2021 in 43 institutions from 18 countries, enrolling 2184 pregnant women aged ≥18 years; a total of 2071 women were included in the analyses. For each woman diagnosed with COVID-19, 2 nondiagnosed women delivering or initiating antenatal care at the same institution were also enrolled. The main exposures were preexisting diabetes mellitus, high body mass index (overweight or obesity was defined as a body mass index ≥25 kg/m2), and gestational diabetes mellitus in pregnancy. The main outcome was a confirmed diagnosis of COVID-19 based on a real-time polymerase chain reaction test, antigen test, antibody test, radiological pulmonary findings, or ≥2 predefined COVID-19 symptoms at any time during pregnancy or delivery. Relationships of exposures and COVID-19 diagnosis were assessed using generalized linear models with a Poisson distribution and log link function, with robust standard errors to account for model misspecification. Furthermore, we conducted sensitivity analyses: (1) restricted to those with a real-time polymerase chain reaction test or an antigen test in the last week of pregnancy, (2) restricted to those with a real-time polymerase chain reaction test or an antigen test during the entire pregnancy, (3) generating values for missing data using multiple imputation, and (4) analyses controlling for month of enrollment. In addition, among women who were diagnosed with COVID-19, we examined whether having gestational diabetes mellitus, diabetes mellitus, or high body mass index increased the risk of having symptomatic vs asymptomatic COVID-19. RESULTS: COVID-19 was associated with preexisting diabetes mellitus (risk ratio, 1.94; 95% confidence interval, 1.55-2.42), overweight or obesity (risk ratio, 1.20; 95% confidence interval, 1.06-1.37), and gestational diabetes mellitus (risk ratio, 1.21; 95% confidence interval, 0.99-1.46). The gestational diabetes mellitus association was specifically among women requiring insulin, whether they were of normal weight (risk ratio, 1.79; 95% confidence interval, 1.06-3.01) or overweight or obese (risk ratio, 1.77; 95% confidence interval, 1.28-2.45). A somewhat stronger association with COVID-19 diagnosis was observed among women with preexisting diabetes mellitus, whether they were of normal weight (risk ratio, 1.93; 95% confidence interval, 1.18-3.17) or overweight or obese (risk ratio, 2.32; 95% confidence interval, 1.82-2.97). When the sample was restricted to those with a real-time polymerase chain reaction test or an antigen test in the week before delivery or during the entire pregnancy, including missing variables using imputation or controlling for month of enrollment, the observed associations were comparable. CONCLUSION: Diabetes mellitus and overweight or obesity were risk factors for COVID-19 diagnosis in pregnancy, and insulin-dependent gestational diabetes mellitus was associated with the disease. Therefore, it is essential that women with these comorbidities are vaccinated.

Health System Redesign to Shift to Hospital Delivery for Maternal and Newborn Survival: Feasibility Assessment in Kakamega County, Kenya.

Maternal and newborn health (MNH) service delivery redesign aims to improve maternal and newborn survival by shifting deliveries from poorly equipped primary care facilities to adequately prepared designated delivery hospitals. We assess the feasibility of such a model in Kakamega County, Kenya, by determining the capacity of hospitals to provide services under the redesigned model and the acceptability of the concept to providers and users. We find many existing system assets to implement redesign, including political will to improve MNH outcomes, a strong base of support among providers and users, and a good geographic spread of facilities to support implementation. There are nonetheless health workforce gaps, infrastructure deficits, and transportation challenges that would need to be addressed ahead of policy rollout. Implementing MNH redesign would require careful planning to limit unintended consequences and rigorous evaluation to assess impact and inform scale-up.

Mobility restrictions were associated with reductions in COVID-19 incidence early in the pandemic: evidence from a real-time evaluation in 34 countries.

Most countries have implemented restrictions on mobility to prevent the spread of Coronavirus disease-19 (COVID-19), entailing considerable societal costs but, at least initially, based on limited evidence of effectiveness. We asked whether mobility restrictions were associated with changes in the occurrence of COVID-19 in 34 OECD countries plus Singapore and Taiwan. Our data sources were the Google Global Mobility Data Source, which reports different types of mobility, and COVID-19 cases retrieved from the dataset curated by Our World in Data. Beginning at each country's 100th case, and incorporating a 14-day lag to account for the delay between exposure and illness, we examined the association between changes in mobility (with January 3 to February 6, 2020 as baseline) and the ratio of the number of newly confirmed cases on a given day to the total number of cases over the past 14 days from the index day (the potentially infective 'pool' in that population), per million population, using LOESS regression and logit regression. In two-thirds of examined countries, reductions of up to 40% in commuting mobility (to workplaces, transit stations, retailers, and recreation) were associated with decreased cases, especially early in the pandemic. Once both mobility and incidence had been brought down, further restrictions provided little additional benefit. These findings point to the importance of acting early and decisively in a pandemic.

Guidelines for Pregnancy Management During the COVID-19 Pandemic: A Public Health Conundrum.

Pregnant women seem to be at risk for developing complications from COVID-19. Given the limited knowledge about the impact of COVID-19 on pregnancy, management guidelines are fundamental. Our aim was to examine the obstetrics guidelines released from December 2019 to April 2020 to compare their recommendations and to assess how useful they could be to maternal health workers. We reviewed 11 guidelines on obstetrics management, assessing four domains: (1) timeliness: the time between the declaration of pandemics by WHO and a guideline release and update; (2) accessibility: the readiness to access a guideline by searching it on a common browser; (3) completeness: the amount of foundational topics covered; and (4) consistency: the agreement among different guidelines. In terms of timeliness, the Royal College of Obstetricians and Gynaecologists (RCOG) was the first organization to release their recommendation. Only four guidelines were accessible with one click, while only 6/11 guidelines covered more than 80% of the 30 foundational topics we identified. For consistency, the study highlights the existence of 10 points of conflict among the recommendations. The present research revealed a lack of uniformity and consistency, resulting in potentially challenging decisions for healthcare providers.

Developing health communication materials during a pandemic

As the COVID-19 virus spread rapidly around the world, information related to the pandemic also spread quickly and in massive amounts. Uncertainty and unknowns about the pandemic together with the explosion of information created confusion and fear among many populations. A major challenge for public health practitioners is to provide clear and consistent messages that can be understood by different types of audiences, including vulnerable populations such as pregnant women and children who are often forgotten in this process. We compared and analyzed the development processes of health communication products for pregnant women in Madagascar and for elementary school children in Japan during the COVID-19 pandemic. This study compared these two field experiences in different socioeconomic settings to identify common strategies for the development of communication materials in a health crisis

PERFORMANCE OF SMARTPHONE-BASED DIGITAL IMAGES FOR CERVICAL CANCER SCREENING IN A LOW-RESOURCE CONTEXT.

OBJECTIVES: Colposcopes are expensive, heavy, and need specialized technical service, which may outreach the capacity of low-resource settings. Our aim was to assess the performance of smartphone-based digital images for the detection of cervical intraepithelial neoplasia grade 2 or worse (CIN2+). METHODS: Human papillomavirus (HPV)-positive women recruited through a cervical cancer screening campaign had VIA/VILI assessment (visual inspection after application of acetic acid/lugol's iodine). Cervical digital images were captured with a smartphone camera, randomly coded with no prior selection and distributed on an online database (Google Forms) for evaluation. Healthcare providers were invited to evaluate the images and identify CIN2+. The gold standard was the histopathological diagnosis. The sensitivity and specificity for the detection of CIN2+ was assessed for each reader and reported with the 95 percent confidence interval (Clopper-Pearson method). RESULTS: One hundred twenty-five consecutive HPV-positive women were included, with 19 CIN2+ (15.2 percent). Forty-five gynecologists completed the assessment, one-third were considered as experts (>50 colposcopies) and two-thirds as novices (<50 colposcopies). The sensitivity and specificity for CIN 2+ detection was 71.3 percent (67.0-75.7 percent) and 62.4 percent (57.5-67.4 percent), respectively. The performance of novices and experts was similar. The readers assessed 73.1 percent of images as acceptable for diagnostic. CONCLUSION: Smartphone-based digital images, with its high portability, have a great potential for the diagnosis of CIN2+ in low-resource context.

High Burden of Human Papillomavirus Infection in Madagascar: Comparison With Other Sexually Transmitted Infections.

BACKGROUND: In Madagascar, human papillomavirus (HPV), human immunodeficiency virus (HIV), and hepatitis B virus (HBV) infection, as well as syphilis share common risk factors but seem to differ in their prevalence. We measured and compared their prevalence in the country. METHODS: The data used in this study came from the Saint Damien Health Centre in Ambanja, Madagascar. The tests used for disease detection were the Alere Determine, Virucheck, rapid plasma reagin, and S-DRY self-HPV samples for HIV infection, HBV infection, syphilis, and HPV infection, respectively. RESULTS: In men and women, respectively, the prevalence was 0.6% and 0.4% for HIV infection, 2.2% and 2.0% for HBV infection, and 0.6% and 0.3% for syphilis. The HPV infection prevalence was 39.3%. CONCLUSIONS: Despite common risk factors, the prevalence of HPV infection was high, in contrast to a much lower prevalence of other sexually transmitted infections (STIs) in the same geographical area. Further investigations are required to clarify the status of STIs in the Malagasy population.

A Mobile Health Data Collection System for Remote Areas to Monitor Women Participating in a Cervical Cancer Screening Campaign.

BACKGROUND: Barriers to efficient cervical cancer screening in low- and medium-income countries include the lack of systematic monitoring of the participants' data. The aim of this study was to assess the feasibility of a mobile health (m-Health) data collection system to facilitate monitoring of women participating to cervical cancer screening campaign. METHODS: Women aged 30-65 years, participating in a cervical cancer screening campaign in Ambanja, Madagascar, were invited to participate in the study. Cervical Cancer Prevention System, an m-Health application, allows the registration of clinical data, while women are undergoing cervical cancer screening. All data registered in the smartphone were transmitted onto a secure, Web-based platform through the use of an Internet connection. Healthcare providers had access to the central database and could use it for the follow-up visits. Quality of data was assessed by computing the percentage of key data missing. RESULTS: A total of 151 women were recruited in the study. Mean age of participants was 41.8 years. The percentage of missing data for the key variables was less than 0.02%, corresponding to one woman's medical history data, which was not sent to the central database. Technical problems, including transmission of photos, human papillomavirus test results, and pelvic examination data, have subsequently been solved through a system update. CONCLUSION: The quality of the data was satisfactory and allowed monitoring of cervical cancer screening data of participants. Larger studies evaluating the efficacy of the system for the women's follow-up are needed in order to confirm its efficiency on a long-term scale.

Use of swabs for dry collection of self-samples to detect human papillomavirus among Malagasy women.

BACKGROUND: Most women in developing countries have never attended cervical screening programmes and often little information exists on type-specific human papillomavirus (HPV) prevalence among these populations. Self-sampling for HPV testing (self-HPV) using a dry swab may be useful for establishing a screening program and evaluating HPV prevalence. Our aim was to evaluate self-HPV using a dry swab stored at room temperature. METHODS: This community-based study in Madagascar consisted of 449 women aged 30-65. Eligible women were provided a dry swab to perform self-HPV. HPV analysis was accomplished by two different real-time PCR tests using the same extracted DNA from the samples. RESULTS: Overall, 52 (11.6 %) specimens were invalid for HPV detection. The delay between sampling and laboratory processing of DNA extraction considerably increased invalid results. Overall HPV prevalence of 14 hrHPV types detected by the two PCR tests was found to be 38.2 % (n = 152). Distribution of 19 hrHPV and 9 low-risk HPV (lrHPV) types revealed most frequently 53 and 68 among hrHPV and HPV 54, HPV 70 and HPV 42 among lrHPV. Agreement between the two PCR methods for any of the 14 high-risk HPV (hrHPV) strains detected was 89.9 % (kappa = 0.77, 95 % CI: 0.71-0.84). In 385 (85.7 %) samples the DNA load of ß-globin demonstrated a signal with medium or high level copies. Conversely, in 28 (60.9 %) invalid samples the signal was undetectable. The HPV-DNA load signal was predominantly of intermediate level (58.5 %, n = 218). CONCLUSIONS: Self-HPV using a dry swab stored at room temperature could be a useful method for HPV screening and for conducting population-based surveys on HPV prevalence in resource-poor settings.