Strengthening Intrapartum and Immediate Newborn Care to Reduce Morbidity and Mortality of Preterm Infants in Health Facilities in Migori County, Kenya and Busoga Region, Uganda: an Implementation Science RCT
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 102,988
- 试验地点
- 2
- 主要终点
- all-cause neonatal mortality among preterms/low birth weight newborns
研究概览
简要总结
The purpose of this study is to determine whether a combination of evidence-based strategies can improve intrapartum and newborn care in facilities to reduce mortality among preterm infants. This will be a cluster randomized implementation science study across 23 facilities in Eastern Uganda and Western Kenya. Selected interventions will be supported in facilities to measure impact during the study period. These interventions are: a) data strengthening and data use activities; b) implementation of a modified WHO Safe Childbirth Checklist with an emphasis on preterm labor and preterm babies; c) simulation-based provider training and mentoring on key existing evidence-based practices to improve newborn outcomes; d) support of Quality Improvement (QI) cycles to identify and resolve facility-specific issues and bottlenecks. A two-stage design will be used where all study facilities will receive some aspects of the intervention initially, namely data strengthening and the modified checklist. Subsequently, the remaining interventions (QI cycles and simulation training of providers) will be rolled out to a randomly selected half of the facilities in the first stage. At a second stage, the remaining half of the facilities will receive the remaining interventions.
详细描述
The randomized, controlled cluster trial (RCCT) will test whether the study intervention reduces the combined incidence of fresh stillbirth and neonatal mortality by 30% compared with the control group incidence of FSB+NMR. Given a Type I error of 0.05, power=80%, a one-tailed test, a balanced (1 control :1 intervention) sample, and a baseline PTB NMR of 10%, the RCCT requires 1,133 PTBs in each study group. The sample size has been increased by 35% to account for a 25% design effect and a 10% loss to follow-up/missing information, requires 1,530 PTBs in each study group. Secondary outcomes will be assessed using this sample. The study randomized facilities to either the control or intervention group, matched on various characteristics to improve the similarity of the study groups and minimize design effect. This a priori hypothesis is proposed prior to analyzing the intervention period study primary outcome, using the baseline PTB incidence of FSB+NMR, and an effect size previously observed with PRONTO.
This implementation science study includes a package of interventions. Control sites receive only the limited package of data strengthening and implementation of the modified Safe Childbirth Checklist. The randomly selected intervention facilities receive an enhanced package which also includes provider training/mentoring using PRONTO simulation and teamwork training, ongoing clinical mentoring, and support for Quality Improvement cycles (PDSA cycles) using a Model for Improvement framework. More detail about the contents of the intervention is included below.
Data Strengthening Strategies: initial training focused on routinely collected data plus ongoing refreshers and mentorship throughout study duration
- Strengthen the MOH data collection system (birth registries, admission/discharge registries), as well as introduction of expanded documentation to capture preterm birth details
- Perform facility assessment to determine gaps in infrastructure, supplies as well as skills and competencies of providers and data managers to accurately and consistently report routine facility data
- Support facilities to use standardized definitions of indicators currently collected for antenatal and postnatal care
- Support adherence to national guidelines on documentation in the registers and patient charts through training, provision of registers/charts and motivation
- Introduce expanded routine documentation of preterm births including improving the register to capture data on preterm and still births, and implementation of the modified WHO Safe Childbirth Checklist (see below)
- Support periodic data quality assessment cycles
- Create a synchronized online data dashboard repository system representing key indicators on an ongoing basis with selective access for health care providers and national policy makers
WHO Safe Childbirth Checklist modified to address identification of preterm labor and newborn care for preterm babies: initial training plus ongoing refreshers and mentorship throughout study duration
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Prevention
- 盲法
- None
入排标准
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Individuals: Investigators will include in the analysis the birth outcomes of all women accessing delivery care services at selected hospitals with gestational age of > 24 weeks who are either admitted for labor or for hospitalization for another antenatal complication (preeclampsia, chorioamnionitis) or referred to a tertiary hospital. Women will be presenting at either control or intervention sites and their delivery information will be reviewed. For follow-up, the investigators will select women with infants born at greater than 1000 grams and less than 2500 grams, or between 2501 and 2999 grams with documented gestational age less than 37 weeks.
排除标准
- 未提供
研究组 & 干预措施
Standard care
- Data strengthening
- modified Safe Childbirth Checklist (mSCC) implementation
干预措施: data strengthening (Behavioral)
Standard care
- Data strengthening
- modified Safe Childbirth Checklist (mSCC) implementation
干预措施: modified Safe childbirth checklist - control (Behavioral)
Enhanced care (intervention)
- Data strengthening
- modified Safe Childbirth Checklist (mSCC) implementation
- Health provider training (PRONTO)
- Quality Improvement (QI) Cycles
干预措施: data strengthening (Behavioral)
Enhanced care (intervention)
- Data strengthening
- modified Safe Childbirth Checklist (mSCC) implementation
- Health provider training (PRONTO)
- Quality Improvement (QI) Cycles
干预措施: modified Safe childbirth checklist - enhanced (Behavioral)
Enhanced care (intervention)
- Data strengthening
- modified Safe Childbirth Checklist (mSCC) implementation
- Health provider training (PRONTO)
- Quality Improvement (QI) Cycles
干预措施: PRONTO training (Behavioral)
Enhanced care (intervention)
- Data strengthening
- modified Safe Childbirth Checklist (mSCC) implementation
- Health provider training (PRONTO)
- Quality Improvement (QI) Cycles
干预措施: QI cycles (Behavioral)
结局指标
主要结局
all-cause neonatal mortality among preterms/low birth weight newborns
时间窗: 28-days after facility-based delivery
To determine the effect of the full package (data strengthening, mSCC, provider training and mentoring using the PRONTO method, QI cycles) on 28-day all-cause mortality rate among low birth weight neonates greater than 1000 grams and less than 2500 grams, and neonates between 2500 and 2999 grams with documented gestational age less than 37 weeks
次要结局
- Prevalence of preterm birth phenotypes in the study sites as measured by chart review and the mSCC(Every year over four years)
- Pre-hospital discharge mortality among preterm infants and babies born alive between 500 and 999 grams at birth(at hospital discharge, an average of 1-7 days)
- Average number of evidence-based practices demonstrated in simulated case videos and live birth observations(Baseline and through study completion, an average of 18 months)
- Data quality of key indicators in facility-based registers(through study completion, an average of 18 months)
- 28-day mortality among babies born alive between 500 and 999 grams at birth(28-days after facility-based delivery)
- Facility readiness to handle delivery and newborn complications as measured by a facility assessment tool(Every six months over two years)
研究者
Dilys Walker
Principal Investigator, Preterm Birth Initiative East Africa; University of California, San Francisco
University of California, San Francisco
