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Abstract Background Routine health facility data are an important source of health information in resource-limited settings. Regular quality assessments are necessary to improve the reliability of routine data for different purposes, including estimating facility-based maternal mortality. This study aimed to assess the quality of routine data on deliveries, livebirths and maternal deaths in Kampala City, Uganda. Methods We reviewed routine health facility data from the district health information system (DHIS2) for 2016 to 2021. This time period included an upgrade of DHIS2, resulting in two datasets (2016–2019 and 2020–2021) that were managed separately. We analysed data for all facilities that reported at least one delivery in any of the six years, and for a subset of facilities designated to provide emergency obstetric care (EmOC). We adapted the World Health Organization data quality review framework to assess completeness and internal consistency of the three data elements, using 2019 and 2021 as reference years. Primary data were collected to verify reporting accuracy in four purposively selected EmOC facilities. Data were disaggregated by facility level and ownership. Results We included 255 facilities from 2016 to 2019 and 247 from 2020 to 2021; of which 30% were EmOC facilities. The overall completeness of data for deliveries and livebirths ranged between 53% and 55%, while it was

Abstract Background The COVID-19 pandemic has adversely affected access to essential healthcare services. This study aimed to explore healthcare providers’ perceptions and experiences of the response to the COVID-19 pandemic in three referral maternal and neonatal hospitals in Guinea. Methods We conducted a longitudinal qualitative study between June and December 2020 in two maternities and one neonatology referral ward in Conakry and Mamou. Participants were purposively recruited to capture diversity of professional cadres, seniority, and gender. Four rounds of in-depth interviews (46 in-depth interviews with 18 respondents) were conducted in each study site, using a semi-structured interview guide that was iteratively adapted. We used both deductive and inductive approaches and an iterative process for content analysis. Results We identified four themes and related sub-themes presented according to whether they were common or specific to the study sites, namely: 1) coping strategies & care reorganization, which include reducing staffing levels, maintaining essential healthcare services, suspension of staff daily meetings, insertion of a new information system for providers, and co-management with COVID-19 treatment center for caesarean section cases among women who tested positive for COVID-19; 2) healthcare providers’ behavior adaptations during the response, including infection prevention and control measures on the wards and how COVID-19-related information influenced providers’ daily work; 3) difficulties encountered by providers, in particular unavailability of personal protective equipment (PPE), lack of financial motivation, and difficulties reducing crowding in the wards; 4) providers perceptions of healthcare service use, for instance their fear during COVID-19 response and perceived increase in severity of complications received and COVID-19 cases among providers and parents of newborns. Conclusion This study provides insights needed to be considered to improve the preparedness and response of healthcare facilities and care providers to future health emergencies in similar contexts.

# Background Recent estimates have shown a stagnation in maternal mortality reduction globally. Levels and trends in maternal mortality in urban settings in Africa are of interest due to health system challenges posed by rapid urbanisation. Given the high percentage of births occurring in city health facilities, tracking the institutional maternal mortality ratio (IMMR) can reveal key performance issues. We described the trends in IMMR between 2016 and 2021, and the causes and characteristics of maternal deaths in Kampala, Uganda. # Methods This retrospective study utilised routine data from all facilities in Kampala that provided childbirth services from 2016 to 2021. Three key variables were used: number of deliveries, live births, and maternal deaths. Additionally, from medical records in three purposively selected hospitals, we extracted information on characteristics of women recorded as maternal deaths and their causes for the period 2016-2021 from death notification and review forms. We conducted descriptive analysis and assessed time trends in IMMR. # Results For the six-year period, the Kampala-level IMMR was 189/100,000 deliveries (194/100,000 livebirths). The IMMR declined from 213 (2016) to 109/100,000 deliveries in 2019 (p=0.04) and then increased to 258 in 2021 (p=0.12). A review of 358 maternal death records showed that 65% of deaths were women referred from other health facilities, and 47% lived in the surrounding district (Wakiso). Obstetric haemorrhage (44%) and hypertensive disorders in pregnancy (28%) were the most commonly recorded causes of death. Health system factors such as lack of blood and other supplies contributed to 65% of the deaths reviewed. # Conclusions IMMR in Kampala increased from 2019-2021. Health infrastructure changes and maternal health initiatives potentially accounted for the observed trend by affecting data quality. Referral and facility readiness were underlying reasons for maternal deaths. Addressing bottlenecks in emergency referral processes may contribute to mortality reduction. Further research should determine the relative contribution of key influences on mortality levels and examine the dynamics between women's care-seeking pathways and service delivery arrangements for emergency obstetric care in urban settings.

Abstract Background Persistent inequalities in coverage of maternal health services in sub-Saharan Africa (SSA), a region home to two-thirds of global maternal deaths in 2017, poses a challenge for countries to achieve the Sustainable Development Goal (SDG) targets. This study assesses wealth-based inequalities in coverage of maternal continuum of care in 16 SSA countries with the objective of informing targeted policies to ensure maternal health equity in the region. Methods We conducted a secondary analysis of Demographic and Health Survey (DHS) data from 16 SSA countries (Angola, Benin, Burundi, Cameroon, Ethiopia, Gambia, Guinea, Liberia, Malawi, Mali, Nigeria, Sierra Leone, South Africa, Tanzania, Uganda, and Zambia). A total of 133,709 women aged 15-49 years who reported a live birth in the five years preceding the survey were included. We defined and measured completion of maternal continuum of care as having had at least one antenatal care (ANC) visit, birth in a health facility, and postnatal care (PNC) by a skilled provider within two days of birth. We used concentration index analysis to measure wealth-based inequality in maternal continuum of care and conducted decomposition analysis to estimate the contributions of sociodemographic and obstetric factors to the observed inequality. Results The percentage of women who had 1) at least one ANC visit was lowest in Ethiopia (62.3%) and highest in Burundi (99.2%), 2) birth in a health facility was less than 50% in Ethiopia and Nigeria, and 3) PNC within two days was less than 50% in eight countries (Angola, Burundi, Ethiopia, Gambia, Guinea, Malawi, Nigeria, and Tanzania). Completion of maternal continuum of care was highest in South Africa (81.4%) and below 50% in nine of the 16 countries (Angola, Burundi, Ethiopia, Guinea, Malawi, Mali, Nigeria, Tanzania, and Uganda), the lowest being in Ethiopia (12.5%). There was pro-rich wealth-based inequality in maternal continuum of care in all 16 countries, the lowest in South Africa and Liberia (concentration index = 0.04) and the highest in Nigeria (concentration index = 0.34). Our decomposition analysis showed that in 15 of the 16 countries, wealth index was the largest contributor to inequality in primary maternal continuum of care. In Malawi, geographical region was the largest contributor. Conclusions Addressing the coverage gap in maternal continuum of care in SSA using multidimensional and people-centred approaches remains a key strategy needed to realise the SDG3. The pro-rich wealth-based inequalities observed show that bespoke pro-poor or population-wide approaches are needed.

Abstract Background A minimum length of stay following facility birth is a prerequisite for women and newborns to receive the recommended monitoring and package of postnatal care. The first postnatal care guidelines in Cameroon were issued in 1998 but adherence to minimum length of stay has not been assessed thus far. The objective of this study was to estimate the average length of stay and identify determinants of early discharge after facility birth. Methods We analyzed the Cameroon 2018 Demographic and Health Survey. We included 4,567 women who had a live birth in a heath facility between 2013 and 2018. We calculated their median length of stay in hours by mode of birth and the proportion discharged early (length of stay

Abstract Objective: Food environments are a major determinant of children’s nutritional status. Scarce evidence on food environments exists in low- and middle-income countries (LMIC). This study aims to fill this gap by documenting the obesogenicity of food environments around schools in Greater Tunis, Tunisia – an LMIC of the Middle East and North Africa region with an ongoing nutrition transition and increasing rates of childhood obesity. Design: In this cross-sectional study, we assessed built food environments around fifty primary schools. Ground-truthing was performed to collect geographic coordinates and pictures of food retailers and food advertisement sets within an 800-m road network buffer of each school. Retailers and advertisement sets were categorised as healthy or unhealthy according to a NOVA-based classification. Associations between school characteristics and retailers or advertisement sets were explored using multinomial regression models. Setting: Greater Tunis, Tunisia. Participants: Random sample of fifty (thirty-five public and fifteen private) primary schools. Results: Overall, 3621 food retailers and 2098 advertisement sets were mapped. About two-thirds of retailers and advertisement sets were labelled as unhealthy. Most retailers were traditional corner stores (22 %) and only 6 % were fruit and vegetable markets. The prevailing food group promoted was carbonated and sugar-sweetened beverages (22 %). The proportion of unhealthy retailers was significantly higher in the richest v. poorest areas. Conclusions: School neighbourhood food environments included predominantly unhealthy retailers and advertisements. Mapping of LMIC food environments is crucial to document the impact of the nutrition transition on children’s nutritional status. This will inform policies and interventions to curb the emergent childhood obesity epidemic.

Abstract Background PrEP uptake is low among non-Belgian men and transwomen who have sex with men, although the HIV epidemic among men who have sex with men in Belgium is diversifying in terms of nationalities and ethnicity. We lack an in-depth understanding of this gap. Methods We conducted a qualitative study using a grounded theory approach. The data consists of key informants interviews and in-depth interviews with migrant men or transwomen who have sex with men. Results We identified four underlying determinants which shape our participants’ experiences and contextualize the barriers to PrEP use. These include (1) the intersectional identities of being migrant and men and transwomen who have sex with men, (2) migration related stressors, (3) mental health and (4) socio-economic vulnerability. Identified barriers include: the accessibility of services; availability of information, social resources and providers’ attitudes. These barriers influence PrEP acceptance and mediated by individual agency this influences their PrEP uptake. Conclusion An interplay of several underlying determinants and barriers impacts on PrEP uptake among migrant men and transwomen who have sex with men, illustrating a social gradient in access to PrEP. We need equitable access to the full spectrum of HIV prevention and care for all priority populations, including undocumented migrants. We recommend social and structural conditions that foster exercising these rights, including adapting PrEP service delivery, mental health and social support.

Abstract Introduction In sub-Saharan Africa, there is limited evidence on the COVID-19 health-related effect from front-line health provision settings. Therefore, this study aimed to analyse the effect of the COVID-19 pandemic on routine maternal and neonatal health services in three referral hospitals. Materials and methods We conducted an observational study using aggregate monthly maternal and neonatal health services routine data for two years (March 2019–February 2021) in three referral hospitals including two maternities: Hôpital National Ignace Deen (HNID) in Conakry and Hôpital Regional de Mamou (HRM) in Mamou and one neonatology ward: Institut de Nutrition et de Santé de l’Enfant (INSE) in Conakry. We compared indicators of health service utilisation, provision and health outcomes before and during the COVID-19 pandemic periods. An interrupted time-series analysis (ITSA) was performed to assess the relationship between changes in maternal and neonatal health indicators and COVID-19 through cross-correlation. Results During COVID-19, the mean monthly number (MMN) of deliveries decreased significantly in HNID (p = 0.039) and slightly increased in HRM. In the two maternities, the change in the MMN of deliveries were significantly associated with COVID-19. The ITSA confirmed the association between the increase in the MMN of deliveries and COVID-19 in HRM (bootstrapped F-value = 1.46, 95%CI [0.036–8.047], p

ObjectiveMaintaining provision and utilization of maternal healthcare services is susceptible to external influences. This study describes how maternity care was provided during the COVID-19 pandemic and assesses patterns of service utilization and perinatal health outcomes in 16 referral hospitals (four each) in Benin, Malawi, Tanzania and Uganda.MethodsWe used an embedded case-study design and two data sources. Responses to open-ended questions in a health-facility assessment survey were analyzed with content analysis. We described categories of adaptations and care provision modalities during the pandemic at the hospital and maternity ward levels. Aggregate monthly service statistics on antenatal care, delivery, caesarean section, maternal deaths, and stillbirths covering 24 months (2019 and 2020; pre-COVID-19 and COVID-19) were examined.ResultsDeclines in the number of antenatal care consultations were documented in Tanzania, Malawi, and Uganda in 2020 compared to 2019. Deliveries declined in 2020 compared to 2019 in Tanzania and Uganda. Caesarean section rates decreased in Benin and increased in Tanzania in 2020 compared to 2019. Increases in maternal mortality ratio and stillbirth rate were noted in some months of 2020 in Benin and Uganda, with variability noted between hospitals. At the hospital level, teams were assigned to respond to the COVID-19 pandemic, routine meetings were cancelled, and maternal death reviews and quality improvement initiatives were interrupted. In maternity wards, staff shortages were reported during lockdowns in Uganda. Clinical guidelines and protocols were not updated formally; the number of allowed companions and visitors was reduced.ConclusionVarying approaches within and between countries demonstrate the importance of a contextualized response to the COVID-19 pandemic. Maternal care utilization and the ability to provide quality care fluctuated with lockdowns and travel bans. Women's and maternal health workers' needs should be prioritized to avoid interruptions in the continuum of care and prevent the deterioration of perinatal health outcomes.

# Background The prevalence of people who are overweight or obese is increasing globally, especially in low- and middle-income countries. High body mass index (BMI) among women of reproductive age is a risk factor for various adverse reproductive and pregnancy outcomes. This study aims to describe trends over time in the distribution of BMI among Tanzanian women of reproductive age intending to conceive between 2004/5 and 2015/16, and identify factors associated with high BMI. # Methods We used data on 20,819 women of reproductive age (15-49 years) intending to conceive who participated in the Tanzania Demographic and Health Surveys in 2004/5, 2010 and 2015/16. We estimated the prevalence of high BMI (being overweight \[≥25 to

Objectives The COVID-19 pandemic affected provision and use of maternal health services. This study describes changes in obstetric complications, referrals, stillbirths and maternal deaths during the first year of the pandemic and elucidates pathways to these changes.Design Prospective observational mixed-methods study, combining monthly routine data (March 2019–February 2021) and qualitative data from prospective semi-structured interviews. Data were analysed separately, triangulated during synthesis and presented along three country-specific pandemic periods: first wave, slow period and second wave.Setting Six referral maternities in four sub-Saharan African countries: Guinea, Nigeria, Tanzania and Uganda.Participants 22 skilled health personnel (SHP) working in the maternity wards of various cadres and seniority levels.Results Percentages of obstetric complications were constant in four of the six hospitals. The percentage of obstetric referrals received was stable in Guinea and increased at various times in other hospitals. SHP reported unpredictability in the number of referrals due to changing referral networks. All six hospitals registered a slight increase in stillbirths during the study period, the highest increase (by 30%–40%) was observed in Uganda. Four hospitals registered increases in facility maternal mortality ratio; the highest increase was in Guinea (by 158%), which had a relatively mild COVID-19 epidemic. These increases were not due to mortality among women with COVID-19. The main pathways leading to these trends were delayed care utilisation and disruptions in accessing care, including sub-optimal referral linkages and health service closures.Conclusions Maternal and perinatal survival was negatively affected in referral hospitals in sub-Saharan Africa during COVID-19. Routine data systems in referral hospitals must be fully used as they hold potential in informing adaptations of maternal care services. If combined with information on women’s and care providers’ needs, this can contribute to ensuring continuation of essential care provision during emergency.

Objectives This study aims to characterise the physical and psychological well-being of maternal and newborn healthcare workers (MNHCWs) during the COVID-19 pandemic.Design Observational repeated cross-sectional study.Setting An online questionnaire was distributed to MNHCWs around the globe in three separate rounds from March 2020 to March 2021.Participants Total samples of N=1357 (round 1) and N=420 (round 3) primarily consisted of doctors, midwives and nurses in maternal and newborn specialties. Samples represented all WHO regions, with 33% (round 1) and 42% (round 3) from low- or middle-income countries (LMICs).Primary and secondary outcome measures Responses from rounds 1 (March–June 2020) and 3 (December 2020–March 2021) were analysed to measure self-reported levels of relative stress and workplace protection from COVID-19, while associated factors were determined through multivariable ordinal logistic regression.Results In round 1, 90% of MNHCWs reported increased stress levels and 45% reported insufficient personal protective equipment (PPE) access. Nurses and physicians were less likely to report increased stress than midwives at the pandemic onset. Factors associated with increased stress included being female, being from an LMIC and insufficient PPE. In round 3, 75% reported similar or increased stress while 10% reported insufficient PPE. In both rounds, over 50% of MNHCWs felt relatively or completely unprotected from COVID-19 in the workplace. Those from LMICs were more likely to report feeling unprotected, while receiving organisational information that valued safety was associated with better feelings of protection in the workplace.Conclusions Among our international sample of MNHCWs, we observed high rates of self-reported stress increase at the start of the pandemic with persistence or increase up to a year later. High rates of feeling unprotected persisted even as PPE became more available. These results may inform interventions needed to support and protect MNHCWs during this and future pandemics.

Objectives The continuum of maternal care along antenatal (ANC), intrapartum and postnatal care (PNC) is fundamental for protecting women’s and newborns’ health. The COVID-19 pandemic interrupted the provision and use of these essential services globally. This study examines maternal healthcare utilisation along the continuum during the COVID-19 pandemic in the Democratic Republic of the Congo (DRC).Design This is a cross-sectional study using data collected on a survey of 599 households in Lubumbashi, DRC, using stratified random sampling.Participants We included 604 women (15–49 years) who were pregnant between March 2020 and May 2021.Outcome measures A structured interview involved questions on sociodemographic characteristics, attitudes regarding COVID-19 and maternal service use and cost. Complete continuum of care was defined as receiving ANC 4+ consultations, skilled birth attendance and at least one PNC check for both mother and newborn. Data were analysed in SPSS using descriptive statistics and multivariable logistic regression.Results One-third (36%) of women who gave birth during the COVID-19 pandemic completed the continuum of maternal healthcare. Factors significantly associated with completing the continuum included higher education (aOR=2.6; p

# Background Globally, most maternal deaths occur during the first twenty-four hours after childbirth. Although different interventions have been implemented to improve maternal health care utilisation in Ethiopia, including immediate postnatal care, information regarding the change in immediate postnatal care utilisation over time is lacking. This study aimed to examine the trends of immediate postnatal care utilisation from the year 2011 to 2019 and to identify factors associated with immediate postnatal care utilisation using nationwide demographic and health survey data. # Methods The study was conducted using secondary data from Ethiopia Demographic and Health Survey (EDHS) in 2011 (n=4268), 2016 (n=4081), and 2019 (n=2159). The trend analysis was conducted using data from the three surveys, however, only the latest survey data were used for the analysis of factors associated with immediate postnatal care utilisation. Bivariable and multivariable logistic regression analysis was carried out to identify factors associated with immediate postnatal care utilisation. Odds ratio (OR) with a 95% confidence level (CI) was computed and adjustment was made to the survey design (i.e., weight, stratification, and clustering). # Results The percentage of women who received immediate postnatal check increased from 6.4% (95% CI=5.1-8.0) in 2011 to 16.3% (95% CI=14.3-19.0) in 2016 to 33.4 % (95% CI=28.6-39.0) in 2019. Moreover, health facility births and the percentage of women who had four or more antenatal care visits increased in this period. Having less than four (adjusted OR (aOR)=3.33; 95% CI=1.77-6.24) and greater than and equal to four antenatal care visits (aOR=7.19; 95% CI=3.80-13.56), and caesarean delivery (aOR=4.39; 95% CI=2.28-8.46) were factors positively associated with immediate postnatal care utilisation. On the other hand, giving birth at a health facility (aOR=0.04; 95% CI=0.02-0.07) was negatively associated with immediate postnatal care utilisation. # Conclusions The study showed consistent improvements in immediate postnatal care utilisation between 2011 and 2019. Despite the progress, the coverage remains low in Ethiopia, only reaching one-third of those who need it. More tailored and context-specific efforts across the continuum of maternal health care services are needed to improve the utilisation and quality of postnatal care.

Abstract Background Maternal and newborn healthcare providers are essential professional groups vulnerable to physical and psychological risks associated with the COVID-19 pandemic. This study uses machine learning algorithms to create a predictive tool for maternal and newborn healthcare providers’ perception of being safe in the workplace globally during the pandemic. Methods We used data collected between 24 March and 5 July 2020 through a global online survey of maternal and newborn healthcare providers. The questionnaire was available in 12 languages. To predict healthcare providers’ perception of safety in the workplace, we used features collected in the questionnaire, in addition to publicly available national economic and COVID-19-related factors. We built, trained and tested five machine learning models: Support Vector Machine (SVM), Random Forest (RF), XGBoost, CatBoost and Artificial Neural Network (ANN) for classification and regression. We extracted from RF models the relative contribution of features in output prediction. Results Models included data from 941 maternal and newborn healthcare providers from 89 countries. ML models performed well in classification and regression tasks, whereby RF had 82% cross-validated accuracy for classification, and CatBoost with 0.46 cross-validated root mean square error for regression. In both classification and regression, the most important features contributing to output prediction were classified as three themes: (1) information accessibility, clarity and quality; (2) availability of support and means of protection; and (3) COVID-19 epidemiology. Conclusion This study identified salient features contributing to maternal and newborn healthcare providers perception of safety in the workplace. The developed tool can be used by health systems globally to allow real-time learning from data collected during a health system shock. By responding in real-time to the needs of healthcare providers, health systems could prevent potential negative consequences on the quality of care offered to women and newborns.

Children's dietary habits are influenced by complex factors within their home, school and neighborhood environments. Identifying such influencers and assessing their effects is traditionally based on self-reported data which can be prone to recall bias. We developed a culturally acceptable machine-learning-based data-collection system to objectively capture school-children's exposure to food (including food items, food advertisements, and food outlets) in two urban Arab centers: Greater Beirut, in Lebanon, and Greater Tunis, in Tunisia. Our machine-learning-based system consists of 1) a wearable camera that captures continuous footage of children's environment during a typical school day, 2) a machine learning model that automatically identifies images related to food from the collected data and discards any other footage, 3) a second machine learning model that classifies food-related images into images that contain actual food items, images that contain food advertisements, and images that contain food outlets, and 4) a third machine learning model that classifies images that contain food items into two classes, corresponding to whether the food items are being consumed by the child wearing the camera or whether they are consumed by others. This manuscript reports on a user-centered design study to assess the acceptability of using wearable cameras to capture food exposure among school children in Greater Beirut and Greater Tunis. We then describe how we trained our first machine learning model to detect food exposure images using data collected from the Web and utilizing the latest trends in deep learning for computer vision. Next, we describe how we trained our other machine learning models to classify food-related images into their respective categories using a combination of public data and data acquired via crowdsourcing. Finally, we describe how the different components of our system were packed together and deployed in a real-world case study and we report on its performance.

Assessing the healthiness of food items in images has gained attention in both the computer vision and the nutrition fields. However, such task is generally a difficult one as food images are captured in various settings and thus are usually non-homogeneous. Moreover, assessing how healthy a food item is requires nutritional expertise and knowledge of the constituents of the food item and how it is processed. In this manuscript, we propose an end-to-end deep learning approach that can detect and localize various food items in a given food image using a customized object detection model. Our approach then assesses how healthy each detected food item is by classifying it into one or more of the four NOVA groups (Unprocessed Food, Processed Culinary Ingredients, Processed Food, and Ultra-processed Food). To train our food item detection model, we used two public datasets and a custom one we created ourselves and which contains images of food taken using wearable cameras. To train the NOVA food classifier, we use the custom dataset we created ourselves and that was manually labeled by expert nutritionists. Our food item detection model achieved a mAP of 0.90 and the NOVA food classifier achieved an average F1-score of 0.86 on test data.

Abstract Background Women and children suffer disproportionately in armed-conflicts. Since 2011, the protracted Syrian crisis has fragmented the pre-existing healthcare system. Despite the massive health needs of women and children, the delivery of key reproductive, maternal, newborn, child and adolescent health and nutrition (RMNCAH&N) interventions, and its underlying factors are not well-understood in Syria. Our objective was to document intervention coverage indicators and their implementation challenges inside Syria during conflict. Methods We conducted 1) a desk review to extract RMNCAH&N intervention coverage indicators inside Syria during the conflict; and 2) qualitative interviews with decision makers and health program implementers to explore reasons behind provision/non-provision of RMNCAH&N interventions, and the rationale informing decisions, priorities, collaborations and implementation. We attempt to validate findings by triangulating data from both sources. Results Key findings showed that humanitarian organisations operating in Syria adopted a complex multi-hub structure, and some resorted to remote management to improve accessibility to certain geographic areas. The emergency response prioritised trauma care and infectious disease control. Yet, with time, humanitarian organisations successfully advocated for prioritising maternal and child health and nutrition interventions given evident needs. The volatile security context had implications on populations’ healthcare seeking behaviors, such as women reportedly preferring home births, or requesting Caesarean-sections to reduce insecurity risks. Additional findings were glaring data gaps and geographic variations in the availability of data on RMNCAH&N indicators. Adaptations of the humanitarian response included task-shifting to overcome shortage in skilled healthcare workers following their exodus, outreach activities to enhance access to RMNCAH&N services, and operating in ‘underground’ facilities to avoid risk of attacks. Conclusion The case of Syria provides a unique perspective on creative ways of managing the humanitarian response and delivering RMNCAH&N interventions, mainly in the multi-hub structure and use of remote management, despite encountered challenges. The scarcity of RMNCAH&N data is a tremendous challenge for both researchers and implementing agencies, as it limits accountability and monitoring, thus hindering the evaluation of delivered interventions.

Abstract Background Patients and consumers are increasingly engaged in health policymaking, research and drug regulation. Having financial relationships with the health industry creates situations of conflicts of interest (COI) and might compromise their meaningful and unbiased participation. Objective To synthesize available evidence on the financial relationships between the health industry and patient and consumer representatives and their organizations. Methods We systematically searched MEDLINE and EMBASE. We selected studies and abstracted data in duplicate and independently. We reported on outcomes related to financial relationships of individuals with, and/or funding of organizations by the health industry. Results We identified a total of 14 510 unique citations, of which 24 reports of 23 studies were eligible. Three studies (13%) addressed the financial relationship of patient and consumer representatives with the health industry. Of these, two examined the proportion of public speakers in drug regulatory processes who have financial relationships; the proportions in the two studies were 25% and 19% respectively. Twenty studies (87%) addressed funding of patient and consumer organizations. The median proportion of organizations that reported funding from the health industry was 62% (IQR: 34%‐69%) in questionnaire surveys, and 75% (IQR: 58%‐85%) in surveys of their websites. Among organizations for which there was evidence of industry funding, a median proportion of 29% (IQR: 27%‐44%) acknowledged on their websites receiving that funding. Conclusion Financial relationships between the health industry and patient and consumer representatives and their organizations are common and may not be disclosed. Stricter regulation on disclosure and management is needed.

The COVID-19 pandemic continues to have substantial impacts on health systems globally. This study describes experiences during the COVID-19 pandemic, and physical, psychological and economic impacts among maternal and newborn healthcare providers. We conducted a global online cross-sectional survey of maternal and newborn healthcare providers. Data collected between July and December 2020 included demographic characteristics, work-related experiences, and physical, psychological, and economic impacts of COVID-19. Descriptive statistics of quantitative data and content analysis of qualitative data were conducted. Findings were disaggregated by country income-level. We analysed responses from 1,191 maternal and newborn healthcare providers from 77 countries: middle-income 66%, high-income 27%, and low-income 7%. Most common cadres were nurses (31%), midwives/nurse-midwives (25%), and obstetricians/gynaecologists (21%). Quantitative and qualitative findings showed that 28% of respondents reported decreased workplace staffing levels following changes in staff-rotation (53%) and staff self-isolating after exposure to SARS-CoV-2 (35%); this led to spending less time with patients, possibly compromising care quality. Reported insufficient access to personal protective equipment (PPE) ranged from 12% for gloves to 32% for N-95 masks. Nonetheless, wearing PPE was tiresome, time-consuming, and presented potential communication barriers with patients. 58% of respondents reported higher stress levels, mainly related to lack of access to information or to rapidly changing guidelines. Respondents noted a negative financial impact-a decrease in income (70% among respondents from low-income countries) concurrently with increased personal expenditures (medical supplies, transportation, and PPE). Negative physical, psychological and economic impacts of COVID-19 on maternal and newborn healthcare providers were ongoing throughout 2020, especially in low-income countries. This can have severe consequences for provision and quality of essential care. There is need to increase focus on the implementation of interventions aiming to support healthcare providers, particularly those in low- and middle-income countries to protect essential health services from disruption.

Routine postnatal care (PNC) allows monitoring, early detection and management of complications, and counselling to ensure immediate and long-term wellbeing of mothers and newborns; yet effective coverage is sub-optimal globally. The COVID-19 pandemic disrupted availability and quality of maternal and newborn care despite established guidelines promoting continuity of essential services. We conducted a cross-sectional global online survey of 424 maternal and newborn healthcare providers from 61 countries, to explore PNC provision, availability, content and quality following the early phase of the COVID-19 pandemic. The questionnaire (11 languages), included four multiple-choice and four open-text questions on changes to PNC during the pandemic. Quantitative and qualitative responses received between July and December 2020 were analysed separately and integrated during reporting. Tightened rules for visiting postpartum women were reported in health facilities, ranging from shorter visiting hours to banning supportive companions and visitors. A quarter (26%) of respondents reported that mothers suspected/confirmed with COVID-19 were routinely separated from their newborns. Early initiation of breastfeeding was delayed due to waiting for maternal SARS-CoV-2 test results. Reduced provision of breastfeeding support was reported by 40% of respondents in high-income countries and 7% in low-income countries. Almost 60% reported that women were discharged earlier than usual and 27% perceived a reduction in attendance to outpatient PNC. Telemedicine and home visits were mostly reported in high-income countries to ensure safe care provision. Beyond the early phase of the COVID-19 pandemic, severe disruptions to content and quality of PNC continued to exist, whereas disruptions in availability and use were less commonly reported. Depriving women of support, reducing availability of PNC services, and mother-newborn separation could lead to negative long-term outcomes for women, newborns and families, and deny their rights to respectful care. Protecting these essential services is imperative to promoting quality woman-centred PNC during and beyond the pandemic.

BackgroundIn the context of the rapid nutrition transition experienced by middle-income countries of the Arab region, children and adolescent's food choices and dietary behaviors are early risk factors for the development of non-communicable diseases. Assessment of factors influencing food choices among this age group is challenging and is usually based on self-reported data, which are prone to information and recall bias. As the popularity of technologies and video gaming platforms increases, opportunities arise to use these tools to collect data on variables that affect food choice, dietary intake, and associated outcomes. This protocol paper describes the SCALE study (School and community drivers of child diets in Arab cities; identifying levers for intervention) which aims to explore the environments at the level of households, schools and communities in which children's food choices are made and consequently identify barriers and enablers to healthy food choices within these environments.MethodsField studies are being conducted in primary schools, among children aged 9-12 years, in Greater Beirut, Lebanon and Greater Tunis, Tunisia. A stratified random sample of 50 primary schools (public and private) are selected and 50 children are randomly selected from grades 4-5-6 in each school. The study includes surveys with children, parents/caregivers, school directors, teachers, and nutrition/health educators to assess individual diets and the contextual factors that influence children's food choices. Innovative locally adapted tools and methods such as game-based choice experiments, wearable cameras and neighborhood mapping are used to describe the environments in which children's food choices are made.DiscussionThe SCALE study will generate contextual knowledge on factors in school and neighborhood environments that influence child dietary behaviors and will inform multi-level interventions and policies to address childhood malnutrition (under-and over-nutrition). By integrating methods from various disciplines, including economics, data science, nutrition, and public health and by considering factors at various levels (home, school, and neighborhood), the study will identify levers for intervention with the potential to improve children's dietary behaviors. This will help fill existing gaps in research on food systems and consequently guide positive change in Lebanon and Tunisia, with the potential for replicability in other contexts.

Introduction The COVID-19 pandemic has led to a rapid implementation of telemedicine for the provision of maternal and newborn healthcare. The objective of this study was to document the experiences with providing telemedicine for maternal and newborn healthcare during the pandemic among healthcare professionals globally.Methods The second round of a global online survey of maternal and newborn health professionals was conducted, disseminated in 11 languages. Data were collected between 5 July and 10 September 2020. The questionnaire included questions regarding background, preparedness and response to COVID-19, and experiences with providing telemedicine. Descriptive statistics and qualitative thematic analysis were used to analyse responses, disaggregated by country income level.Results Responses from 1060 maternal and newborn health professionals were analysed. Telemedicine was used by 58% of health professionals and two-fifths of them reported not receiving guidelines on the provision of telemedicine. Key telemedicine practices included online birth preparedness classes, antenatal and postnatal care by video/phone, a COVID-19 helpline and online psychosocial counselling. Challenges reported lack of infrastructure and technological literacy, limited monitoring, financial and language barriers, lack of non-verbal feedback and bonding, and distrust from patients. Telemedicine was considered as an important alternative to in-person consultations. However, health providers emphasised the lower quality of care and risk of increasing the already existing inequalities in access to healthcare.Conclusions Telemedicine has been applied globally to address disruptions of care provision during the COVID-19 pandemic. However, some crucial aspects of maternal and newborn healthcare seem difficult to deliver by telemedicine. More research regarding the effectiveness, efficacy and quality of telemedicine for maternal healthcare in different contexts is needed before considering long-term adaptations in provision of care away from face-to-face interactions. Clear guidelines for care provision and approaches to minimising socioeconomic and technological inequalities in access to care are urgently needed.

Objective To examine trends and variations of caesarean section by economic status and type of healthcare facility in Arab countries in the Middle East and North Africa (MENA). Methods Secondary data analysis of nationally representative household surveys conducted between 2008–2020 across nine Arab countries in the MENA region. The study population was women aged 15–49 years with a live birth in the two years preceding the survey. Temporal changes in the proportion of deliveries by caesarean section in each country were calculated using generalised linear models and presented as risk differences (RD) with 95% confidence intervals (95%CI). Caesarean section was disaggregated by household wealth index and type of healthcare facility. Results Use of caesarean section ranged from 57.3% (95%CI:55.6–59.1%) in Egypt to 5.7% of births (95%CI:4.9–6.6%) in Yemen. Overall, the use of caesarean section has increased across the MENA region, except in Jordan, where there was no evidence of change (RD -2.3 (95%CI: -6.0 ‒1.4)). Across most countries, caesarean section use was highest in the richest quintile compared to the poorest quintile, for example, 42.8% (95%CI:38.0–47.6%) vs. 22.6% (95%CI:19.6–25.9%) in Iraq, respectively. Proportion of caesarean section was higher in private sector facilities compared to public sector: 21.8% (95%CI:18.2–25.9%) vs. 15.7% (95%CI:13.3–18.4%) in Yemen, respectively. Conclusion Variations in caesarean section exist within and between Arab countries, and it was more commonly used amongst the richest quintiles and in private healthcare facilities. The private sector has a prominent role in observed trends. Urgent policies and interventions are required to address non-medically indicated intervention.

Introduction The COVID-19 pandemic has substantially impacted maternity care provision worldwide. Studies based on modelling estimated large indirect effects of the pandemic on services and health outcomes. The objective of this study was to prospectively document experiences of frontline maternal and newborn healthcare providers.Methods We conducted a global, cross-sectional study of maternal and newborn health professionals via an online survey disseminated through professional networks and social media in 12 languages. Information was collected between 24 March and 10 April 2020 on respondents’ background, preparedness for and response to COVID-19 and their experience during the pandemic. An optional module sought information on adaptations to 17 care processes. Descriptive statistics and qualitative thematic analysis were used to analyse responses, disaggregating by low-income and middle-income countries (LMICs) and high-income countries (HICs).Results We analysed responses from 714 maternal and newborn health professionals. Only one-third received training on COVID-19 from their health facility and nearly all searched for information themselves. Half of respondents in LMICs received updated guidelines for care provision compared with 82% in HICs. Overall, 47% of participants in LMICs and 69% in HICs felt mostly or completely knowledgeable in how to care for COVID-19 maternity patients. Facility-level responses to COVID-19 (signage, screening, testing and isolation rooms) were more common in HICs than LMICs. Globally, 90% of respondents reported somewhat or substantially higher levels of stress. There was a widespread perception of reduced use of routine maternity care services, and of modification in care processes, some of which were not evidence-based practices.Conclusions Substantial knowledge gaps exist in guidance on management of maternity cases with or without COVID-19. Formal information-sharing channels for providers must be established and mental health support provided. Surveys of maternity care providers can help track the situation, capture innovations and support rapid development of effective responses.

Abstract Objective: To establish the prevalence of double burden of malnutrition (DBM) and triple burden of malnutrition (TBM) among mother-child pairs in Malawi and explore their geographical distribution and associated multilevel factors. Design: Cross-sectional study using secondary data from the 2015-16 Malawi Demographic and Health Survey using a mixed effects binomial model to identify multilevel factors associated with DBM and TBM. Georeferenced covariates were used to map the predicted prevalence of DBM and TBM. Setting: All 28 districts in Malawi. Participants: Mother-child pairs with mothers aged 15 to 49 years and children aged below 59 months (n=4,618 pairs) for DBM and between 6 and 59 months (n=4,209 pairs) for TBM. Results: Approximately 5.5% [95% confidence interval (CI): 4.7%, 6.4%] of mother-child pairs had DBM and 3.1% [95% CI: 2.5%, 4.0%] had TBM. The subnational-level prevalence of DBM and TBM was highest in cities. The adjusted odds of DBM were threefold higher [Adjusted Odds Ratio, AOR: 2.8, 95% CI: 1.1, 7.3] with a higher proportion of wealthy households in a community. The adjusted odds of TBM were 60% lower [AOR: 0.4; 95% CI: 0.2, 0.8] among pairs where the women had some education compared to women with no education. Conclusions: Although the prevalence of DBM and TBM is currently low in Malawi, it is more prevalent in pairs with women with no education and in relatively wealthier communities. Targeted interventions should address both maternal overnutrition and child undernutrition in cities and these demographics.