Implementation of a temperature bundle improves admission hypothermia in very-low-birth-weight infants in China: a multicentre study

Decreasing incidence of admission neonatal hypothermia in Gandhi Memorial Hospital, Addis Ababa, Ethiopia: quality improvement project

BACKGROUND

WHO reported that neonatal hypothermia accounts for about 27% of newborn deaths worldwide. It is a serious concern in Ethiopia and other parts of sub-Saharan Africa; it poses a serious threat to global health, increasing morbidity and mortality. Hypothermic neonates are more likely to experience respiratory distress, infections and other issues that could result in longer hospital stays and delayed development. The objective of this quality improvement project was to minimise intensive medical treatments, maximise resource usage and enhance overall health outcomes for newborns at Gandhi Memorial Hospital by reducing neonatal hypothermia.

METHODS

Over 10 months (from 1 March 2021 to 30 January 2022), neonatal hypothermia incidence was assessed using Quality Supervision Mentoring Team and Health Management Information System data. Root cause analysis and literature review led to evidence-based interventions in a change bundle. After team training and neonatal intensive care unit (NICU) relocation, Plan-Do-Study-Act cycles tested the bundle. Close temperature monitoring and data collection occurred. Run charts evaluated intervention success against baseline data, informing conclusions about effectiveness.

RESULT

The quality improvement project reduced neonatal hypothermia in NICU admissions from a baseline median of 80.6% to a performance median of 30%.

CONCLUSION AND RECOMMENDATION

The quality improvement project at Gandhi Memorial Hospital effectively reduced neonatal hypothermia through interventions such as the temperature management bundle and NICU relocation, leading to improved patient care, fewer hypothermic neonates and enhanced body temperature management. Continuous monitoring, adherence to best practices, sharing success and outcome assessment are crucial for enhancing the project's effectiveness and sustaining positive impacts on neonatal hypothermia reduction and patient outcomes.

Development and validation of a model to predict mortality risk among extremely preterm infants during the early postnatal period: a multicentre prospective cohort study

BACKGROUND

Recently, with the rapid development of the perinatal medical system and related life-saving techniques, both the short-term and long-term prognoses of extremely preterm infants (EPIs) have improved significantly. In rapidly industrialising countries like China, the survival rates of EPIs have notably increased due to the swift socioeconomic development. However, there is still a reasonably lower positive response towards the treatment of EPIs than we expected, and the current situation of withdrawing care is an urgent task for perinatal medical practitioners.

OBJECTIVE

To develop and validate a model that is practicable for EPIs as soon as possible after birth by regression analysis, to assess the risk of mortality and chance of survival.

METHODS

This multicentre prospective cohort study used datasets from the Sino-Northern Neonatal Network, including 46 neonatal intensive care units (NICUs). Risk factors including maternal and neonatal variables were collected within 1 hour post-childbirth. The training set consisted of data from 41 NICUs located within the Shandong Province of China, while the validation set included data from 5 NICUs outside Shandong Province. A total of 1363 neonates were included in the study.

RESULTS

Gestational age, birth weight, pH and lactic acid in blood gas analysis within the first hour of birth, moderate-to-severe hypothermia on admission and adequate antenatal corticosteroids were influencing factors for EPIs' mortality with important predictive ability. The area under the curve values for internal validation of our prediction model and Clinical Risk Index for Babies-II scores were 0.81 and 0.76, and for external validation, 0.80 and 0.51, respectively. Moreover, the Hosmer-Lemeshow test showed that our model has a constant degree of calibration.

CONCLUSIONS

There was good predictive accuracy for mortality of EPIs based on influencing factors prenatally and within 1 hour after delivery. Predicting the risk of mortality of EPIs as soon as possible after birth can effectively guide parents to be proactive in treating more EPIs with life-saving value.

TRIAL REGISTRATION NUMBER

ChiCTR1900025234.