Strengthening Facility-based Intrapartum/Immediate Newborn Care to Reduce Mortality of Preterm Infants in Migori County, Kenya and Busoga Region, Uganda (PTBi-KE-UG)
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
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
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
- Introduce expanded routine documentation of preterm births including the piloting and use of a modified WHO Safe Childbirth Checklist (mSCC)
- Introduce and train on use of the mSCC to detect, manage and treat high risk labor/babies
- Collect routine facility data including register reviews (study staff will visit each selected facility at least once per month)
- Conduct periodic audits of the mSCC to determine uptake and completeness, review for phenotyping information, and/or review for additional service indicators on preterm babies
Measures to strengthen, recommended intrapartum, postnatal and neonatal care in facilities through PRONTO simulation-based provider training and mentorship: training of trainers and initial trainings in Kenya and Uganda plus ongoing mentorship in Kenya and modular refreshers in Uganda, throughout study duration
- Improve intrapartum, postnatal and neonatal management by using a customized PRONTO curriculum that includes highly realistic simulation and focused team training to address gaps in emergency obstetric and neonatal response. The training emphasizes lifesaving response during labor, delivery, postnatal and neonatal periods with specific emphasis on the care of preterm babies.
- Initial 2-days modular PRONTO training will be followed by periodic modular refreshers and supplemental mentoring. In Kenya, this involves 6 one-week mentoring sessions led by trained preterm champions over a 9-12 month period. In Uganda, a modular training model with intermittent refresher trainings and two-day clinical mentoring sessions will be offered over a 9-12 month period. Special emphasis will be put on evidence-based practices and the views gathered from Kenya and Uganda stakeholders.
- Promote close follow-up of preterm babies up to 28-days
Measures to strengthen Quality Improvement (QI) cycles: initial training with ongoing mentorship; QI team meetings each week with quarterly cross-facility collaboration workshops throughout study duration
- Develop tools for, introduce and institutionalize QI cycles and regular project monitoring and evaluation
- Reinforcement of accurate and timely documentation in charts and registers in the facilities
- Reinforcement of use of the mSCC, including its use as a data source to track progress of change efforts
- Link system gaps or latent errors uncovered during simulation training and suggested solutions with QI efforts
- Develop and recommend some tools to improve data collection such as for triage, discharge and referral
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Migori County, Kenya
- Health facilities in Migori County: Rongo, Kehancha, Uriri, Kegonga, Karungu, Tisinye, Isibania, Macalder, Awendo, Ntimaru, Muhuru, Bugumbe, Nyamaraga, Othoro, St. Joseph, St. Camillus, Migori County Referral Hospital
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Busoga Region, Uganda
- Health facilities in Busoga Region: Bugiri, Buluba, Iganga, Kamuli Government, Kamuli Mission, Jinja Regional Referral Hospital
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- 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.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Active Comparator: Standard care
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Data strengthening: initial training, monthly data collection and feedback on data quality, access to dashboards, periodic Data Quality Assessments
modified Safe Childbirth Checklist (mSCC) implementation: provision of the mSCC to facilities, limited feedback and mentoring on its use
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Experimental: Enhanced care (intervention)
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Data strengthening: initial training, monthly data collection and feedback on data quality, access to dashboards, periodic Data Quality Assessments
modified Safe Childbirth Checklist (mSCC) implementation: provision of the mSCC to facilities, ongoing intensive feedback and mentoring on its use
Health provider training (PRONTO): initial 2-days modular training followed by a 6-week mentoring sessions (Kenya) or periodic modular refreshers and supplemental mentoring (Uganda), each over a 9-12 month period
Quality Improvement Cycles (QI): facility teams performing PDSA cycles with mentoring support and twice annual Learning Collaborative sessions, plus opportunities to apply for small amounts of funds to support change efforts
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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all-cause neonatal mortality among preterms/low birth weight newborns
Time Frame: 28-days after facility-based delivery
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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
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28-days after facility-based delivery
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Data quality of key indicators in facility-based registers
Time Frame: through study completion, an average of 18 months
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Key indicators include gestational age, facility discharge status, preterm birth incidence
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through study completion, an average of 18 months
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Pre-hospital discharge mortality among preterm infants and babies born alive between 500 and 999 grams at birth
Time Frame: at hospital discharge, an average of 1-7 days
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at hospital discharge, an average of 1-7 days
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28-day mortality among babies born alive between 500 and 999 grams at birth
Time Frame: 28-days after facility-based delivery
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28-days after facility-based delivery
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Average number of evidence-based practices demonstrated in simulated case videos and live birth observations
Time Frame: Baseline and through study completion, an average of 18 months
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Uptake and appropriate utilization of evidence-based interventions/ Ministry of Health management guidelines measured in PRONTO simulation videos, observed live births and/or mSCC
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Baseline and through study completion, an average of 18 months
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Prevalence of preterm birth phenotypes in the study sites as measured by chart review and the mSCC
Time Frame: Every year over four years
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Every year over four years
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Facility readiness to handle delivery and newborn complications as measured by a facility assessment tool
Time Frame: Every six months over two years
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Every six months over two years
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Dilys Walker, MD, University of California, San Francisco
- Principal Investigator: Peter Waiswa, MD, MPH, PhD, Makerere University School of Public
- Principal Investigator: Phelgona Otieno, MBChB, MPH, Kenya Medical Research Institute
Publications and helpful links
General Publications
- Ghosh R, Santos N, Butrick E, Wanyoro A, Waiswa P, Kim E, Walker D. Stillbirth, neonatal and maternal mortality among caesarean births in Kenya and Uganda: a register-based prospective cohort study. BMJ Open. 2022 Apr 6;12(4):e055904. doi: 10.1136/bmjopen-2021-055904.
- Whaley B, Butrick E, Sales JM, Wanyoro A, Waiswa P, Walker D, Cranmer JN. Using clinical cascades to measure health facilities' obstetric emergency readiness: testing the cascade model using cross-sectional facility data in East Africa. BMJ Open. 2022 Apr 4;12(4):e057954. doi: 10.1136/bmjopen-2021-057954.
- Achola KA, Kajjo D, Santos N, Butrick E, Otare C, Mubiri P, Namazzi G, Merai R, Otieno P, Waiswa P, Walker D. Implementing the WHO Safe Childbirth Checklist modified for preterm birth: lessons learned and experiences from Kenya and Uganda. BMC Health Serv Res. 2022 Mar 3;22(1):294. doi: 10.1186/s12913-022-07650-x.
- Namazzi G, Achola KA, Jenny A, Santos N, Butrick E, Otieno P, Waiswa P, Walker D; Preterm Birth Initiative Kenya & Uganda Implementation Research Collaborative. Implementing an intrapartum package of interventions to improve quality of care to reduce the burden of preterm birth in Kenya and Uganda. Implement Sci Commun. 2021 Jan 28;2(1):10. doi: 10.1186/s43058-021-00109-w.
- Walker D, Otieno P, Butrick E, Namazzi G, Achola K, Merai R, Otare C, Mubiri P, Ghosh R, Santos N, Miller L, Sloan NL, Waiswa P; Preterm Birth Initiative Kenya and Uganda Implementation Research Collaborative. Effect of a quality improvement package for intrapartum and immediate newborn care on fresh stillbirth and neonatal mortality among preterm and low-birthweight babies in Kenya and Uganda: a cluster-randomised facility-based trial. Lancet Glob Health. 2020 Aug;8(8):e1061-e1070. doi: 10.1016/S2214-109X(20)30232-1.
- Otieno P, Waiswa P, Butrick E, Namazzi G, Achola K, Santos N, Keating R, Lester F, Walker D. Strengthening intrapartum and immediate newborn care to reduce morbidity and mortality of preterm infants born in health facilities in Migori County, Kenya and Busoga Region, Uganda: a study protocol for a randomized controlled trial. Trials. 2018 Jun 5;19(1):313. doi: 10.1186/s13063-018-2696-2.
Helpful Links
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- A123218-K/U
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
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