Newborn health: a revolution in waiting

Mothers' involvement in providing care for their hospitalised sick newborns in Kenya: a focused ethnographic account

INTRODUCTION

There is growing evidence that parental participation in the care of small and sick newborns benefits both babies and parents. While studies have investigated the roles that mothers play in newborn units in high income contexts (HIC), there is little exploration of how contextual factors interplay to influence the ways in which mothers participate in the care of their small and sick newborn babies in very resource constrained settings such as those found in many countries in sub-Saharan Africa.

METHODS

Ethnographic methods (observations, informal conversations and formal interviews) were used to collect data during 627 h of fieldwork between March 2017 and August 2018 in the neonatal units of one government and one faith-based hospital in Kenya. Data were analysed using a modified grounded theory approach.

RESULTS

There were marked differences between the hospitals in the participation by mothers in the care of their sick newborn babies. The timing and types of caring task that the mothers undertook were shaped by the structural, economic and social context of the hospitals. In the resource constrained government funded hospital, the immediate informal and unplanned delegation of care to mothers was routine. In the faith-based hospital mothers were initially separated from their babies and introduced to bathing and diaper change tasks slowly under the close supervision of nurses. In both hospitals appropriate breast-feeding support was lacking, and the needs of the mothers were largely ignored.

CONCLUSION

In highly resource constrained hospitals with low nurse to baby ratios, mothers are required to provide primary and some specialised care to their sick newborns with little information or support on how undertake the necessary tasks. In better resourced hospital settings, most caring tasks are initially performed by nurses leaving mothers feeling powerless and worried about their capacity to care for their babies after discharge. Interventions need to focus on how to better equip hospitals and nurses to support mothers in caring for their sick newborns, promoting family centred care.

Impact of a quality improvement intervention on neonatal mortality in a regional hospital in Burkina Faso

BACKGROUND

The neonatal period is the most vulnerable time in terms of a child's survival, with mortality during this period accounting for approximately half of the deaths before the age of 5 years. The Neonatal Essential Survival Technology (NEST) project is a program aiming to reduce mortality by improving the quality of neonatal care in sub-Saharan Africa. This study presents the evaluation of the first phase of the NEST intervention program at Saint Camille Hospital Ouagadougou (HOSCO), Burkina Faso, in terms of the reduction in neonatal mortality.

METHODS

This is a retrospective analysis, based on "pre-intervention" data collected in 2015, and "post-intervention" data collected in 2018, including all infants admitted to the neonatal unit of HOSCO. The intervention period (2016 and 2017) comprised a structured quality improvement process conducted by a multidisciplinary working group that focused on improving infrastructure, equipment, training and use of clinical protocols, team working within the neonatal unit and with other hospital departments, and communication with referring healthcare facilities. Mortality data were compared pre- vs. post-intervention using a logistic regression model.

RESULTS

The analysis included 1427 infants in the pre-intervention period, and 819 post-intervention. In both time periods, more than 75% of admissions were infants with low birth weight, and nearly 50% were very low birth weight. Post-intervention, while there was a decrease in overall admission, the proportion of multiple births increased from 20% to 24% (p = .01). The overall mortality rate was 44.9% (641/1427) pre-intervention, and 42.2% (346/819) post-intervention (OR 0.90, 95% confidence interval (CI) 0.76-1.07; p = .23). Adjusting for clinically relevant factors, the intervention was not associated with a change in overall mortality (OR 1.39, 95% CI 0.91-2.12; p = .13), but was associated with a reduced likelihood of mortality in outborn infants compared to inborn infants (OR 0.57, 95% CI 0.36-0.92; p = .02).

CONCLUSIONS

The first phase of the NEST quality improvement program was associated with a decrease in mortality in outborn infants admitted to the neonatal unit at HOSCO. Long-term assessment is expected to provide a more comprehensive evaluation of the program in a low-income setting.

Neonatal nursing policy and practice in Kenya: Key stakeholders and their views on task-shifting as an intervention to improve care quality

Background: Improving the quality of facility based neonatal care is central to tackling the burden of neonatal mortality in Low and Middle Income Countries (LMIC).  Quality neonatal care is highly dependent on nursing care but a major challenge facing health systems in LMICs is human resource shortage. In Kenya, task-shifting among professional care cadres is being discussed as one potential strategy of addressing the human resource shortage, but little attention is being paid to the potential for task-shifting in the provision of in-patient sick newborn care. This study identified key neonatal policy-making and implementation stakeholders in Kenya and explored their perceptions of task-shifting in newborn units.    Methods: The study was exploratory and descriptive, employing qualitative methods including: document review, stakeholder analysis, observation of policy review process meetings and stakeholder feedback. A framework approach was used for analysis. Results: In Kenya, guidelines for the care of sick neonates exist but there are few specialized neonatal nurses and no policy documents outlining the nurse to patient ratio required in neonatal care or other higher dependency areas. The Ministry of Health, Nursing Council of Kenya and international agencies were identified as playing key roles in policy formulation while County governments, the National Nurses Association of Kenya and frontline care providers are central to implementation. Newborns were perceived to be highly vulnerable requiring skilled care but in light of human resources challenges, most expressed some support for shifting ‘unskilled’ tasks. However, a few of the key implementers were concerned about the use of unqualified staff and all stakeholders emphasized the need for training, regulation and supervision. Conclusions: Task-shifting has the potential to help address human recourse challenge in low-income settings. However, any potential task-shifting intervention in neonatal care would require a carefully planned process involving all key stakeholders and clear regulations to steer implementation.

Improving accuracy and usability of growth charts: case study in Rwanda

OBJECTIVES

We evaluate and compare manually collected paper records against electronic records for monitoring the weights of children under the age of 5.

SETTING

Data were collected by 24 community health workers (CHWs) in 2 Rwandan communities, 1 urban and 1 rural.

PARTICIPANTS

The same CHWs collected paper and electronic records. Paper data contain weight and age for 320 boys and 380 girls. Electronic data contain weight and age for 922 girls and 886 boys. Electronic data were collected over 9 months; most of the data is cross-sectional, with about 330 children with time-series data. Both data sets are compared with the international standard provided by the WHO growth chart.

PRIMARY AND SECONDARY OUTCOME MEASURES

The plan was to collect 2000 individual records for the electronic data set--we finally collected 1878 records. Paper data were collected by the same CHWs, but most data were fragmented and hard to read. We transcribed data only from children for whom we were able to obtain the date of birth, to determine the exact age at the time of measurement.

RESULTS

Mean absolute error (MAE) and mean absolute percentage error (MAPE) provide a way to quantify the magnitude of the error in using a given model. Comparing a model, log(weight)=a+b log(age), shows that electronic records provide considerable improvements over paper records, with 40% reduction in both performance metrics. Electronic data improve performance over the WHO model by 10% in MAPE and 7% in MAE. Results are statistically significant using the Kolmogorov-Smirnov test at p<0.01.

CONCLUSIONS

This study demonstrates that using modern electronic tools for health data collection is allowing better tracking of health indicators. We have demonstrated that electronic records facilitate development of a country-specific model that is more accurate than the international standard provided by the WHO growth chart.