Smart Discharges for Mom & Baby 2.0: Clinical and Observational Data for Mom and Baby Dyads Following Delivery and Discharge

<br/><strong>Objective(s):</strong> 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. <br>

<br /><strong>Data Description:</strong> 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). <br>
<br> 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. <br>

<br /><strong>Data Processing:</strong> 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: <br/>
<br/>SDMB2_REDCapLabels_Code_SD.R <br/>

SDMB2_DataCleaning_Code_SD.R <br/>

SDMB2_ApplyingSelectionCriteria_Code_SD.R <br/>

SDMB2_DataDictionaryCreation_Code_SD.R <br/>

<br/>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.<br>

<br /><strong>Ethics Declaration:</strong> 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). <br>

<br /><strong>Abbreviations:</strong> <br>
JRRH: Jinja Regional Referral Hospital<br />
MRRH: Mbarara Regional Referral Hospital<br />
PNC: Post-natal care<br />
SES: Socio-economic index<br />
SpO2: Oxygen saturation<br />

<br /><strong>Study Protocol & Supplementary Materials:</strong> <br />
<a href = "https://doi.org/10.5683/SP3/EIUHJF">Smart Discharges for Mom & Baby 2.0: A cohort study to develop prognostic algorithms for post-discharge readmission and mortality among mother-infant dyads</a><br />

**研究目标**：明确产妇与新生儿出院后死亡、再入院及就医行为的发生时点与发生率，并构建出院后转归的预测模型。<br><br>**数据概况**：所有数据均在照护现场通过加密的研究平板采集，随后上传至加拿大温哥华不列颠哥伦比亚省儿童医院研究所（BC Children’s Hospital Research Institute）托管的电子研究数据捕获系统（Research Electronic Data Capture，REDCap）数据库。<br><br>在分娩完成并获取书面知情同意后，经过培训的研究护士按照四个照护阶段收集数据：入院、分娩、出院及出院后6周随访。入院及分娩阶段的数据尽可能从医院病历中提取，无法获取时则通过直接观察、直接测量或受试者访谈进行收集。出院及出院后数据通过观察、测量或访谈方式采集。分娩后6周，外勤人员联系所有存活至出院的产妇及/或新生儿照护者，以确认其生命状态、再入院情况、疾病就医行为及常规产后照护情况。若无法通过电话联系到受试者，则进行上门访视。<br><br>**数据处理**：研究人员从REDCap下载原始数据后，使用R语言4.4.2版（奥地利维也纳R统计计算基金会）对产妇与婴儿的清洗后数据集进行处理与筛选，所用脚本如下：<br>SDMB2_REDCapLabels_Code_SD.R<br>SDMB2_DataCleaning_Code_SD.R<br>SDMB2_ApplyingSelectionCriteria_Code_SD.R<br>SDMB2_DataDictionaryCreation_Code_SD.R<br><br>简言之，这些脚本用于新建数据列、删除冗余列、替换因设计（即分支逻辑）产生的缺失值，以及应用年龄限制等排除标准。<br><br>**伦理声明**：本研究已获得马克雷雷大学公共卫生学院（Makerere University School of Public Health，MakSPH）机构审查委员会（审批号：SPH-2021-177）、乌干达国家科学技术委员会（Uganda National Council of Science and Technology，UNCST，审批号：HS2174ES）以及加拿大不列颠哥伦比亚大学（University of British Columbia，审批号：H21-03709）的伦理批准。本研究已在clinicaltrials.gov注册（注册号：NCT05730387）。<br><br>**缩写说明**：<br>JRRH：金贾区域转诊医院（Jinja Regional Referral Hospital）<br>MRRH：姆巴拉拉区域转诊医院（Mbarara Regional Referral Hospital）<br>PNC：产后照护（Post-natal care）<br>SES：社会经济地位指数（Socio-economic index）<br>SpO2：血氧饱和度（Oxygen saturation）<br><br>**研究方案与补充材料**：<br><a href="https://doi.org/10.5683/SP3/EIUHJF">《母婴智能出院2.0：构建母婴二元组出院后再入院与死亡预后算法的队列研究》</a><br>