Improved Neonatal Mortality at a District Hospital in Aweil, South Sudan

Admissions to a Low-Resource Neonatal Unit in Malawi Using a Mobile App and Dashboard: A 1-Year Digital Perinatal Outcome Audit

Introduction: Understanding the extent and cause of high neonatal deaths rates in Sub-Saharan Africa is a challenge, especially in the presence of poor-quality and inaccurate data. The NeoTree digital data capture and quality improvement system has been live at Kamuzu Central Hospital, Neonatal Unit, Malawi, since April 2019. Objective: To describe patterns of admissions and outcomes in babies admitted to a Malawian neonatal unit over a 1-year period via a prototype data dashboard. Methods: Data were collected prospectively at the point of care, using the NeoTree app, which includes digital admission and outcome forms containing embedded clinical decision and management support and education in newborn care according to evidence-based guidelines. Data were exported and visualised using Microsoft Power BI. Descriptive and inferential analysis statistics were executed using R. Results: Data collected via NeoTree were 100% for all mandatory fields and, on average, 96% complete across all fields. Coverage of admissions, discharges, and deaths was 97, 99, and 91%, respectively, when compared with the ward logbook. A total of 2,732 neonates were admitted and 2,413 (88.3%) had an electronic outcome recorded: 1,899 (78.7%) were discharged alive, 12 (0.5%) were referred to another hospital, 10 (0.4%) absconded, and 492 (20%) babies died. The overall case fatality rate (CFR) was 204/1,000 admissions. Babies who were premature, low birth weight, out born, or hypothermic on admission, and had significantly higher CFR. Lead causes of death were prematurity with respiratory distress (n = 252, 51%), neonatal sepsis (n = 116, 23%), and neonatal encephalopathy (n = 80, 16%). The most common perceived modifiable factors in death were inadequate monitoring of vital signs and suboptimal management of sepsis. Two hundred and two (8.1%) neonates were HIV exposed, of whom a third [59 (29.2%)] did not receive prophylactic nevirapine, hence vulnerable to vertical infection. Conclusion: A digital data capture and quality improvement system was successfully deployed in a low resource neonatal unit with high (1 in 5) mortality rates providing and visualising reliable, timely, and complete data describing patterns, risk factors, and modifiable causes of newborn mortality. Key targets for quality improvement were identified. Future research will explore the impact of the NeoTree on quality of care and newborn survival.

Neonatal morbidity and mortality in Hargeisa, Somaliland: an observational, hospital based study

Introduction

Hargeisa Group Hospital, Somaliland, opened a neonatal unit in 2013. We aimed to study causes of admission, risk factors for neonatal death and post-discharge care to address modifiable factors.

Methods

we analysed hospital records from June-October 2013 (n=164). In addition, we reached primary caregivers of 94 patients for further information after discharge.

Results

of the 164 patients, 65% were male, 31% weighed <2500 grams, 16% were premature, 43% were exposed to meconium and 29% had premature rupture of membranes (PROM). Twenty-seven percent were admitted after caesarean section and 36% had been bag-mask ventilated. The most common diagnoses for admission were asphyxia (34%), respiratory distress (27%), sepsis (16%) and prematurity (15%). The mortality before discharge was 15%, 23/1430 (1.6%) of live-born at the hospital. Half of the admitted preterm babies died (RR for death for preterm vs term born 4.6, 95% CI 2.3-9.0) as well as 28% of the patients with birth weight <2500 grams (RR 2.1, 95% CI 1.0-4.2). The mortality rate with or without PROM was 29% vs 15% (RR 2.0, 95% CI 1.0-3.9). At 28 days of age, 34% of the patients were exclusively breastfed and 44% had not yet been vaccinated. Diarrhoea, vomiting and/or respiratory distress after discharge were reported for 44%.

Conclusion

prematurity and low birth weight were important risk factors for neonatal death in this cohort, contributing to the high mortality rate. Low numbers of exclusively breastfed and vaccinated infants are also issues of concern to be targeted in the peri- and postnatal care.

Postnatal Outcomes and Risk Factors for In-Hospital Mortality among Asphyxiated Newborns in a Low-Resource Hospital Setting: Experience from North-Central Nigeria

Background:

Birth asphyxia accounts for a third of global newborn deaths and 95 percent of these occur in low-resource settings. A key to reducing asphyxia-related deaths in these settings is improving care of these newborns and this requires an understanding of factors associated with adverse outcomes.

Objectives:

In this study, we report outcomes and risk factors for mortality among newborn infants with birth asphyxia admitted to a typical low-resource hospital setting.

Methods:

We prospectively followed up 191 asphyxiated newborn infants admitted to a referral tertiary hospital in North-central Nigeria. At baseline, care-givers completed a structured questionnaire. Using univariable analysis, we compared baseline characteristics between participants who died and those who survived till discharge. We also fitted a multivariable logistic regression model to identify risk factors for mortality among the cohort.

Results:

Majority (60.7%) of the study participants presented to the hospital within the first six hours of life. Despite this, mortality among the cohort was 14.7% with a third dying within the first 24 hours of admission. The presence of respiratory distress at admission increased the risk for mortality (AOR = 3.73, 95% CI 1.22 to 11.35) while higher participant weight at admission decreased the risk (AOR = 0.11, 95% CI 0.03 to 0.40). Intrapartum factors such as duration of labour and maternal age, although significant on univariable analysis, were not significant on multivariable analysis.

Conclusions:

Hospital mortality among newborns with birth asphyxia is high in North-central Nigeria and majority of deaths occur during acute care. Respiratory distress at presentation and admission weights were identified as key risk factors for asphyxia mortality. Intrapartum factors on the other hand might have indirect effects on mortality through an increased risk for neonatal complications.

Derivation and validation of a prognostic score for neonatal mortality in Ethiopia: a case-control study

Background

Early warning scores for neonatal mortality have not been designed for low income countries. We developed and validated a score to predict mortality upon admission to a NICU in Ethiopia.

Methods

We conducted a retrospective case-control study at the University of Gondar Hospital, Gondar, Ethiopia. Neonates hospitalized in the NICU between January 1, 2016 to June 31, 2017. Cases were neonates who died and controls were neonates who survived.

Results

Univariate logistic regression identified variables associated with mortality. The final model was developed with stepwise logistic regression. We created the Neonatal Mortality Score, which ranged from 0 to 52, from the model’s coefficients. Bootstrap analysis internally validated the model. The discrimination and calibration were calculated. In the derivation dataset, there were 207 cases and 605 controls. Variables associated with mortality were admission level of consciousness, admission respiratory distress, gestational age, and birthweight. The AUC for neonatal mortality using these variables in aggregate was 0.88 (95% CI 0.85–0.91). The model achieved excellent discrimination (bias-corrected AUC) under internal validation. Using a cut-off of 12, the sensitivity and specificity of the Neonatal Mortality Score was 81 and 80%, respectively. The AUC for the Neonatal Mortality Score was 0.88 (95% CI 0.85–0.91), with similar bias-corrected AUC. In the validation dataset, there were 124 cases and 122 controls, the final model and the Neonatal Mortality Score had similar discrimination and calibration.

Conclusions

We developed, internally validated, and externally validated a score that predicts neonatal mortality upon NICU admission with excellent discrimination and calibration.

Cause and predictors of neonatal mortality among neonates admitted to neonatal intensive care units of public hospitals in eastern Ethiopia: a facility-based prospective follow-up study

Background

The first month is the most crucial period for child survival. Neonatal mortality continues to remain high with little improvement over the years in Sub-Saharan Africa, including Ethiopia. This region shows the least progress in reducing neonatal mortality and continues to be a significant public health issue. In this study setting, the causes and predictors of neonatal death in the neonatal intensive care units are not well documented. Hence, this study aimed to determine the causes and predictors of neonatal mortality among infants admitted to neonatal intensive care units in eastern Ethiopia.

Methods

A facility-based in prospective follow-up study was conducted among neonates admitted to neonatal intensive care units of public hospitals of eastern Ethiopia from November 1 to December 30, 2018. Data were collected using a pre-tested structured questionnaire and a follow-up checklist. The main outcomes and causes of death were set by pediatricians and medical residents. EpiData 3.1 and Statistical Package for Social Sciences Version 25 software were used for data entry and analysis, respectively. Multivariable logistic regression was used to identify the predictors of facility-based neonatal mortality.

Results

The proportion of facility-based neonatal mortality was 20% (95% CI:16.7–23.8%). The causes of death were complications of preterm birth (28.58%), birth asphyxia (22.45%), neonatal infection (18.36%), meconium aspiration syndrome (9.18%), respiratory distress syndrome (7.14%), and congenital malformation (4.08%). Low birth weight, preterm births, length of stay of the neonatal intensive care unit, low 5 min APGAR score, hyperthermia, and initiation of feeding were predictors of neonatal death among infants admitted to the neonatal intensive care units of public hospitals in eastern Ethiopia.

Conclusions

The proportion of facility-based neonatal deaths was unacceptably high. The main causes of death were preventable and treatable. Hence, improving the timing and quality of antenatal care is essential for early detection, anticipating high-risk newborns, and timely interventions. Furthermore, early initiation of feeding and better referral linkage to tertiary health facilities could lead to a reduction in neonatal death in this setting.

Where technology does not go: specialised neonatal care in resource-poor and conflict-affected contexts

Setting: Although neonatal mortality is gradually decreasing worldwide, 98% of neonatal deaths occur in low- and middle-income countries, where hospital care for sick and premature neonates is often unavailable. Médecins Sans Frontières Operational Centre Brussels (MSF-OCB) managed eight specialised neonatal care units (SNCUs) at district level in low-resource and conflict-affected settings in seven countries. Objective: To assess the performance of the MSF SNCU model across different settings in Africa and Southern Asia, and to describe the set-up of eight SNCUs, neonate characteristics and clinical outcomes among neonates from 2012 to 2015. Design: Multicentric descriptive study. Results: The MSF SNCU model was characterised by an absence of high-tech equipment and an emphasis on dedicated nursing and medical care. Focus was on the management of hypothermia, hypoglycaemia, feeding support and early identification/treatment of infection. Overall, 11 970 neonates were admitted, 41% of whom had low birthweight (<2500 g). The main diagnoses were low birthweight, asphyxia and neonatal infections. Overall mortality was 17%, with consistency across the sites. Chances of survival increased with higher birthweight. Conclusion: The standardised SNCU model was implemented across different contexts and showed in-patient outcomes within acceptable limits. Low-tech medical care for sick and premature neonates can and should be implemented at district hospital level in low-resource settings.