NCT05730387

Brief Summary

This study aims to build a predictive algorithm that identifies mother-newborn dyads most at risk of death or complications in the 6 weeks after birth. The investigators will conduct a multi-site cohort study with 7,000 dyads in Uganda and engage with local stakeholders (e.g., patients, healthcare workers, and health policy-makers) to develop an evidence-based bundle of interventions that address key practice gaps and the critical factors leading to death and complications in these dyads. In the investigator's epidemiological study of post-delivery post-discharge outcomes in 3,236 dyads in Uganda (2017-2020), results indicated that most newborn and maternal readmissions were due to infectious illness (i.e. sepsis, surgical site infections, malaria), and primarily occurred early in the post-discharge period. Thus, the focus of this study will be identifying interventions that target these common and early outcomes, for both mothers and newborns, using World Health Organization recommendations, patient and caregiver experiences, and stakeholder recommendations. If successful, results will inform the next steps of this project, which is the external validation of the model and clinical evaluation of a personalized approach to improving health outcomes and health-seeking behaviour for mothers and newborns.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
7,182

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Apr 2022

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

April 14, 2022

Completed
8 months until next milestone

First Submitted

Initial submission to the registry

December 9, 2022

Completed
2 months until next milestone

First Posted

Study publicly available on registry

February 15, 2023

Completed
7 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

August 31, 2023

Completed
8 months until next milestone

Study Completion

Last participant's last visit for all outcomes

April 30, 2024

Completed
12 months until next milestone

Results Posted

Study results publicly available

April 10, 2025

Completed
Last Updated

April 10, 2025

Status Verified

March 1, 2025

Enrollment Period

1.4 years

First QC Date

December 9, 2022

Results QC Date

February 20, 2025

Last Update Submit

March 25, 2025

Conditions

Keywords

maternal healthneonatal healthpatient dischargepost-natal care

Outcome Measures

Primary Outcomes (1)

  • Post-discharge Readmission or Mortality

    Composite rate of maternal or neonatal death or re-admission within 6 weeks following delivery

    6 weeks following delivery

Secondary Outcomes (2)

  • Post-natal Care Visits

    6 weeks following delivery

  • Post-discharge Health Seeking

    6 weeks following delivery

Study Arms (1)

mother and newborn dyads

We will recruit 6700 mother and newborn dyads from the two participating hospitals. We will continue to follow-up with all patients enrolled in the study until 6 weeks (42 days) post delivery.

Other: Observational only

Interventions

This is a non-interventional study

mother and newborn dyads

Eligibility Criteria

Age12 Years+
Sexfemale
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

The study population represents women living within the catchments of two study hospitals (Mbarara Regional Referral Hospital and Jinja Regional Referral Hospital) in Uganda, who present for delivery.

You may qualify if:

  • Women and adolescent girls aged 12 and above delivering a single or multiple babies at the study hospital during the active recruitment phase.

You may not qualify if:

  • Inability, for whatever reason, to provide informed consent.
  • Language barrier
  • Mother is from a refugee camp
  • Mother has no access to phone or other means for follow-up
  • Mother lives outside of hospital catchment area

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

BC Children's Hospital Research Institute

Vancouver, British Columbia, V5Z 2X8, Canada

Location

Related Publications (1)

  • Wiens MO, Trawin J, Pillay Y, Nguyen V, Komugisha C, Kenya-Mugisha N, Namala A, Bebell LM, Ansermino JM, Kissoon N, Payne BA, Vidler M, Christoffersen-Deb A, Lavoie PM, Ngonzi J. Prognostic algorithms for post-discharge readmission and mortality among mother-infant dyads: an observational study protocol. Front Epidemiol. 2023 Nov 29;3:1233323. doi: 10.3389/fepid.2023.1233323. eCollection 2023.

MeSH Terms

Conditions

Pregnancy Complications, InfectiousNeonatal Sepsis

Condition Hierarchy (Ancestors)

InfectionsPregnancy ComplicationsFemale Urogenital Diseases and Pregnancy ComplicationsUrogenital DiseasesSepsisInfant, Newborn, DiseasesCongenital, Hereditary, and Neonatal Diseases and AbnormalitiesSystemic Inflammatory Response SyndromeInflammationPathologic ProcessesPathological Conditions, Signs and Symptoms

Results Point of Contact

Title
Matthew O. Wiens
Organization
Institute for Global Health at BC Children's Hospital and BC Women's Hospital + Health Centre

Study Officials

  • Matthew O Wiens, PharmD, PhD

    University of British Columbia

    PRINCIPAL INVESTIGATOR

Publication Agreements

PI is Sponsor Employee
No
Restrictive Agreement
No

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Assistant Professor

Study Record Dates

First Submitted

December 9, 2022

First Posted

February 15, 2023

Study Start

April 14, 2022

Primary Completion

August 31, 2023

Study Completion

April 30, 2024

Last Updated

April 10, 2025

Results First Posted

April 10, 2025

Record last verified: 2025-03

Data Sharing

IPD Sharing
Will share

After the study period, a de-identified copy of the data will be prepared for deposition in a repository with open access with proper governance mechanisms. We will make every effort to prevent re-identification of subjects by coding data that has the potential of being identifiable. For example, we will convert all dates into meaningful decimal numbers (date of birth into days since birth and date of recruitment will be reduced to month of recruitment) and all locations will be coded into data that is useful but not specific (such as address converted to distance and direction from facility). We will ensure that data elements with small numbers of subjects (less than 10) will be coded or lumped to avoid identification. The de-identified study data will be made available using a data hosting service (e.g., Dataverse, Vivli, etc.)

Shared Documents
STUDY PROTOCOL, SAP
Time Frame
Data will be deposited to an open access repository with moderated access within 2 years of study completion
Access Criteria
Moderated access on a case-by-case basis.

Locations