DOI: 10.14288/1.0447829
title: Smart Discharges for Mom & Baby 2.0: Clinical and Observational Data for Mom and Baby Dyads Following Delivery and Discharge

description: &lt;br/&gt;&lt;strong&gt;Objective(s):&lt;/strong&gt; To determine the timing and incidence of post-discharge mortality, readmission, and care-seeking among mothers and newborns and to develop predictive models for post-discharge outcomes. &lt;br&gt; &lt;br /&gt;&lt;strong&gt;Data Description:&lt;/strong&gt; All data were collected at the point of care using encrypted study tablets and these data were then uploaded to a Research Electronic Data Capture (REDCap) database hosted at the BC Children’s Hospital Research Institute (Vancouver, Canada). &lt;br&gt; &lt;br&gt; Following delivery and obtaining informed written consent, trained study nurses collected data grouped according to four periods of care; admission, delivery, discharge, and six-week post-discharge follow up. Data from admission and delivery were captured from the hospital medical record where possible and by direct observation, direct measurement or patient interview when not. Discharge and post-discharge data were collected by observation, measurement or interview. Six-weeks after delivery, field officers contacted every mother and/or caregivers of newborns who survived to discharge to determine vital status, readmission and care seeking for illnesses and routine postnatal care. In-person visits were completed in situations where participants could not be reached by phone. &lt;br&gt; &lt;br /&gt;&lt;strong&gt;Data Processing:&lt;/strong&gt; The cleaned datasets for moms and babies was processed and filtered using R version 4.4.2 (R Foundation for Statistical Computing, Vienna, Austria) after downloading the raw data from REDCap with the following scripts: &lt;br/&gt; &lt;br/&gt;SDMB2_REDCapLabels_Code_SD.R &lt;br/&gt; SDMB2_DataCleaning_Code_SD.R &lt;br/&gt; SDMB2_ApplyingSelectionCriteria_Code_SD.R &lt;br/&gt; SDMB2_DataDictionaryCreation_Code_SD.R &lt;br/&gt; &lt;br/&gt;Briefly, these scripts create new columns, remove redundant columns, replace missing values introduced by design (i.e., branching logic), and apply exclusion criteria such as age requirements.&lt;br&gt; &lt;br /&gt;&lt;strong&gt;Ethics Declaration:&lt;/strong&gt; Ethics approvals have been obtained from the Makerere University School of Public Health (MakSPH) Institutional Review Board (SPH-2021-177), the Uganda National Council of Science and Technology (UNCST) in Uganda (HS2174ES) and the University of British Columbia in Canada (H21-03709). This study has been registered at clinicaltrials.gov (NCT05730387). &lt;br&gt; &lt;br /&gt;&lt;strong&gt;Abbreviations:&lt;/strong&gt; &lt;br&gt; JRRH: Jinja Regional Referral Hospital&lt;br /&gt; MRRH: Mbarara Regional Referral Hospital&lt;br /&gt; PNC: Post-natal care&lt;br /&gt; SES: Socio-economic index&lt;br /&gt; SpO2: Oxygen saturation&lt;br /&gt; &lt;br /&gt;&lt;strong&gt;Study Protocol & Supplementary Materials:&lt;/strong&gt; &lt;br /&gt; &lt;a href = "https://doi.org/10.5683/SP3/EIUHJF"&gt;Smart Discharges for Mom & Baby 2.0: A cohort study to develop prognostic algorithms for post-discharge readmission and mortality among mother-infant dyads&lt;/a&gt;&lt;br /&gt;