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.

Background: The burden of Non-Communicable Diseases (NCDs) is rapidly increasing globally, and low- and middle-income countries (LMICs) bear the brunt of it. Tanzania is no exception. Addressing the rising burden of NCDs in this context calls for renewed efforts and commitment by various stakeholders. This paper highlights local initiatives and strategies to combat NCDs in Tanzania and provides lessons for countries with similar contexts. Methods: We reviewed published and grey literature and conducted policy analysis on NCDs in Tanzania to examine the burden of NCDs and the national response addressing it. The documents included National NCD strategic plans, NCD research agenda, and reports from the World Diabetes Foundation and the World Health Organization. Moreover, a scoping review of ongoing NCD activities and programs in other countries was also conducted to supplement the evidence gathered. Results: The rising burden of NCDs as a result of the epidemiological transition in Tanzania called for the launching of a dedicated National NCD Control and Prevention Program. The Ministry of Health collaborates with local, national, and international partners on NCD prevention and curative strategies. This led to the development of important guidelines and policies on NCDs, including strengthening the capacity of health facilities and healthcare workers, increased community engagement and awareness of NCDs, and increased advocacy for more resources in NCD initiatives. Strong governmental commitment has been vital; this is demonstrated by a renewed commitment to the fight through national NCD week and related advocacy activities conducted annually. To ensure multi-stakeholders’ engagement and political commitment, all these activities are coordinated at the Prime Minister’s office and provide strong lessons for countries with contexts similar to Tanzania. Conclusion: Multi-stakeholders’ engagement, innovative approaches, and coordinated governmental efforts to address NCDs have shone a light on addressing the burden of NCDs and may be sustainable if aligned with locally available resources. Such initiatives are recommended for adoption by other nations to address the burdens of NCDs.

What makes routine maternal and neonatal health data to be 'good quality'? That depends on whom you ask - the people collecting and reporting these data across health system levels have different priorities and face varying constraints. Data are constructed by people, about people, and they both reflect and impact human interactions. This study analyses the power dynamics shaping how routine health data are collected and reported in labour wards of two hospitals in Southern Tanzania. We draw from focused ethnographic observation at these two labour wards and 29 in-depth qualitative interviews with health care workers (HCWs), hospital leaders, and relevant district- and regional-level managers. We distinguish between two different types of power that shape how people engage with routine maternal and neonatal health data: authoritative and discretionary power. Authoritative power, or top-down power 'over', is reflected in how maternal and neonatal health targets and measurement demands are imposed on individuals lower in the power hierarchy. We show how this results in an environment where data are seen as 'political things' and where HCWs feel pressured and fear being blamed for poor health outcomes. Yet, data can also be a means for HCWs to exercise discretionary power - a type of bottom-up power to act creatively to deflect scrutiny and protect themselves and others. Strategically handling and manipulating data, HCWs 'get the numbers right' by balancing their own needs, top-down expectations, and structural challenges. HCWs may hereby compromise their own definitions of 'good' data, and as as consequence, limit the usefulness of routine data to inform clinical decision making and health system planning. We underline the importance of supportive supervision, feasibility and perceived relevance of routine health data for those tasked to collect and report it, in order to better navigate the blurry line between constructive accountability and counter-productive pressure.

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 <30 kg/m²] and obesity [≥30kg/m²) and trends in the prevalence of high BMI across the three surveys. Using survey-weighted multivariable logistic regression, we used the most recent 2015/16 survey data to identify factors associated with high BMI. Results: Median BMI increased from 21.7kg/m² (inter-quartile range, IQR=19.9-24.1 kg/m²) in 2004/5 to 22.0 kg/m² (IQR=20.0-24.8 kg/m²) in 2010 to 22.7 kg/m² (IQR=20.4-26.0 kg/m²) in 2015/16. The prevalence of overweight women increased from 11.1% in 2004/5 to 15.8% in 2015 (P <0.001). The prevalence of obesity increased from 3.1% in 2004/5 to 8.0% in 2015/16 (P<0.001). Women in the highest wealth quintile had higher odds (adjusted odds ratio, aOR= 4.5; 95%CI 3.4-6.3, P<0.001) of high BMI than women in the lowest quintile. The odds of high BMI were about four times greater (aOR=3.9; 95%CI=2.9-5.4, P<0.001) for women 40-44 years compared to 20–24-year-olds. Women in the high-paying occupations had greater odds of high BMI than those working in agriculture (aOR=1.5; 95% CI=1.1-2.2, P=0.002). Women residing in the Southern zone had 1.9 (95%CI=1.5-2.5, P<0.001) greater odds of high BMI than Lake zone residents. Conclusions: In Tanzania, high BMI affects almost 1 in 4 women of reproductive age who intend to conceive. This contributes to the burden of poor maternal and reproductive health outcomes. We recommend developing and implementing health-system strategies for addressing high BMI, tailored to the modifiable risk factors identified among women of reproductive age.

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.