BACKGROUND: Globally, approximately 800 women and 6400 newborns die around the time of childbirth each day. Many of these deaths could be prevented with high-quality emergency obstetric and newborn care (EmONC). The Monitoring Emergency Obstetric Care: A handbook guides strengthening EmONC services. However, the handbook contains limited quality of care measures. Our study identified and prioritised quality of care indicators for potential inclusion in the handbook, which is undergoing revision. METHODS: We conducted a consultative scoping review, mapping, and prioritisation exercise to select a short list of indicators on facility-based maternal and newborn quality of care. Indicators were identified from literature searches and expert suggestions and organised by the categories of structure, process, and outcomes as defined in the World Health Organizations Standards for Improving Quality of Maternal and Newborn Care in Health Facilities. We focused on process indicators, encompassing the provision of care and experience of care during the intrapartum period, and developed a priority list of indicators using the selection criteria of relevance and feasibility. Experience of care indicators were also mapped against the Person-Centered Maternity Care (PCMC) scale. RESULTS: We extracted a total of 3023 quality of care indicators. After removing out-of-scope and duplicate indicators and applying our selection criteria, we identified 20 provision of care indicators for possible inclusion in the revised EmONC handbook. We recommend including a score for experience of care that could be measured with the 30-item or the 13-item PCMC scale. We also identified 29 experience of care items not covered by the PCMC scale that could be used. Provider experience, patient safety, and quality of abortion care were identified as areas for which no or few indicators were found through our scoping review. CONCLUSIONS: Through a rigorous, consultative, and multi-step process, we selected a short list of process-related, facility-based quality of care indicators for emergency obstetric and newborn care. This list could be included in the EmONC handbook or used for other monitoring purposes. Country consultations to assess the utility and feasibility of the proposed indicators and their adaptation to local contexts will support their refinement and uptake. REGISTRATION: https://osf.io/msxbd (Open Science Framework).

Background

Although several indicators have been proposed to measure women's experience of care in health facilities during the intrapartum period, it is unknown if these indicators perform differently in the context of obstetric emergencies. We examined the relationship between experience of care indicators from the Person-Centered Maternity Care (PCMC) scale and obstetric complications.

Methods

We used data from four cross-sectional surveys conducted in Kenya (rural: N = 873; urban: N = 531), Ghana (N = 531), and India (N = 2018) between August 2016 and October 2017. The pooled sample included 3953 women aged 15-49 years who gave birth within 9 weeks prior to the survey. Experience of care was measured using the PCMC scale. Univariate, bivariate, and multivariable analyses were conducted to examine the associations between the composite and 31 individual PCMC indicators with (1) obstetric complications; (2) severity of complications; and (3) delivery by cesarean section (c-section).

Results

16% (632) of women in the pooled sample reported obstetric complications; and 4% (132) reported having given birth via c-Sect. (10.5% among those with complications). The average standardized PCMC scores (range 0-100) were 63.5 (SD = 14.1) for the full scale, 43.2 (SD = 20.6) for communication and autonomy, 67.8 (SD = 14.1) for supportive care, and 80.1 (SD = 18.2) for dignity and respect sub-scales. Women with complications had higher communication and autonomy scores (45.6 [SD = 20.2]) on average compared to those without complications (42.7 [SD = 20.6]) (p < 0.001), but lower supportive care scores, and about the same scores for dignity and respect and for the overall PCMC. 18 out of 31 experience of care indicators showed statistically significant differences by complications, but the magnitudes of the differences were generally small, and the direction of the associations were inconsistent. In general, women who delivered by c-section reported better experiences.

Conclusions

There is insufficient evidence based on our analysis to suggest that women with obstetric complications report consistently better or worse experiences of care than women without. Women with complications appear to experience better care on some indicators and worse care on others. More studies are needed to understand the relationship between obstetric complications and women's experience of care and to explore why women who deliver by c-section may report better experience of care.

A summary of the findings in the Supplement, highlighting the heterogeneity in reported quality of maternity care and inequalities within and between countries in the European region.

INTRODUCTION:As facility-based deliveries increase globally, maternity registers offer a promising way of documenting pregnancy outcomes and understanding opportunities for perinatal mortality prevention. This study aims to contribute to global quality improvement efforts by characterizing facility-based pregnancy outcomes in Kenya and Uganda including maternal, neonatal, and fetal outcomes at the time of delivery and neonatal discharge outcomes using strengthened maternity registers. METHODS:Cross sectional data were collected from strengthened maternity registers at 23 facilities over 18 months. Data strengthening efforts included provision of supplies, training on standard indicator definitions, and monthly feedback on completeness. Pregnancy outcomes were classified as live births, early stillbirths, late stillbirths, or spontaneous abortions according to birth weight or gestational age. Discharge outcomes were assessed for all live births. Outcomes were assessed by country and by infant, maternal, and facility characteristics. Maternal mortality was also examined. RESULTS:Among 50,981 deliveries, 91.3% were live born and, of those, 1.6% died before discharge. An additional 0.5% of deliveries were early stillbirths, 3.6% late stillbirths, and 4.7% spontaneous abortions. There were 64 documented maternal deaths (0.1%). Preterm and low birthweight infants represented a disproportionate number of stillbirths and pre-discharge deaths, yet very few were born at ≤1500g or <28w. More pre-discharge deaths and stillbirths occurred after maternal referral and with cesarean section. Half of maternal deaths occurred in women who had undergone cesarean section. CONCLUSION:Maternity registers are a valuable data source for understanding pregnancy outcomes including those mothers and infants at highest risk of perinatal mortality. Strengthened register data in Kenya and Uganda highlight the need for renewed focus on improving care of preterm and low birthweight infants and expanding access to emergency obstetric care. Registers also permit enumeration of pregnancy loss <28 weeks. Documenting these earlier losses is an important step towards further mortality reduction for the most vulnerable infants.

Background

Globally, there were 2.7 million neonatal deaths in 2015. Significant mortality reduction could be achieved by improving care in low- and middle-income countries (LMIC), where the majority of deaths occur. Determining the physical readiness of facilities to identify and manage complications is an essential component of strategies to reduce neonatal mortality.

Methods

We developed clinical cascades for 6 common neonatal conditions then utilized these to assess 23 health facilities in Kenya and Uganda at 2 time-points in 2016 and 2017. We calculated changes in resource availability over time by facility using McNemar's test. We estimated mean readiness and loss of readiness for the 6 conditions and 3 stages of care (identification, treatment, monitoring-modifying treatment). We estimated overall mean readiness and readiness loss across all conditions and stages. Finally, we compared readiness of facilities with a newborn special care unit (NSCU) to those without using the two-sample test of proportions.

Results

The cascade model estimated mean readiness of 26.3-26.6% across the 3 stages for all conditions. Mean readiness ranged from 11.6% (respiratory distress-apnea) to 47.8% (essential newborn care) across both time-points. The model estimated overall mean readiness loss of 30.4-31.9%. There was mild to moderate variability in the timing of readiness loss, with the majority occurring in the identification stage. Overall mean readiness was higher among facilities with a NSCU (36.8%) compared to those without (20.0%).

Conclusion

The cascade model provides a novel approach to quantitatively assess physical readiness for neonatal care. Among 23 facilities in Kenya and Uganda, we identified a consistent pattern of 30-32% readiness loss across cascades and stages. This aggregate measure could be used to monitor and compare readiness at the facility-, health system-, or national-level. Estimates of readiness and loss of readiness may help guide strategies to improve care, prioritize resources, and promote neonatal survival in LMICs.

Background

This research prioritization aimed to identify major research gaps in maternal, newborn, child and adolescent health (MNCAH) to help mitigate the direct and indirect effects of the COVID-19 pandemic.

Methods

We adapted the Child Health and Nutrition Research Initiative methodology. We defined scope, domains, themes and scoring criteria. We approached diverse global experts via email to submit their research ideas in MNCAH and MNCAH-related cross-cutting/health systems area. We curated the research ideas as research questions (RQs) and sent them to the consenting experts for scoring via the online link. For each RQ, the research priority score (RPS) was calculated as an average of individual criterion scores and ranked based on RPS in each area.

Results

We identified top-ranked 10 RQs in each maternal, newborn, and child and adolescent health and 5 in the cross-cutting/health systems area. In maternal health, indirect effects on care, measures to improve care, health risks and outcomes, and preventing and managing SARS-CoV-2 infection/COVID-19 disease were priority RQs. In newborn health, clinical characterization and managing SARS-CoV-2 infection/COVID-19 disease, mode of transmission and interventions to prevent transmission were the focus. For child and adolescent health, top-ranked RQs were indirect effects on care, clinical status and outcomes, interventions to protect against SARS-CoV-2 infection/COVID-19 disease, and educational institute-related RQs. The cross-cutting RQs were the effects of the pandemic on availability, access, care-seeking and utilization of MNCAH services and potential solutions.

Conclusions

We call on partners, including governments, non-governmental organizations, research institutes, and donors, to address this urgent research agenda.