Recherche

Wiens, Matthew O; Kenya-Mugisha, Nathan; Namala, Angella; Tagoola, Abner; Bebell, Lisa; Pillay, Yashodani; Ansermino, J Mark; Kissoon, Niranjan; Payne, Beth A; Vidlern, Marianne; Christoffersen-Deb, Astrid; Lavoie, Pascal; Bone, Jeffrey — 2023-05-15 <br /><strong>Dataset Description:</strong> This dataset contains materials from the Smart Discharges for Mom & Baby parent study within the <a href = "https://bcchr.ca/smart-discharges">Smart Discharges</a> program of research. Materials include the parent study ethics protocol and associated documents. See the Metadata section below for links to related publications and datasets.<br /> <br /><strong>Background:</strong> In low-income country settings, the first six weeks after birth remain a critical period of vulnerability for both mother and newborn. Despite recommendations for routine post-discharge follow-up, few mothers and newborns receive guideline recommended care during this period. Prediction modelling of post-delivery outcomes has the potential to improve outcomes for both mother and newborn by identifying high-risk dyads, improving risk communication, and facilitating a patient-centered approach to postnatal care. <br /> <br /><strong>Methods:</strong> This is a mixed-methods study to explore and map the current postnatal discharge processes in Uganda.We will conduct an observational cohort study (Phase I) to develop and internally validate our risk score and aim to recruit 7,000 mother and newborn dyads from Jinja Regional Referral Hospital and Mbarara Regional Referral Hospital. We will also engage with patients, families, and health workers through patient journey mapping and focus group discussions (Phases II-IV) to identify barriers and facilitators to inform the development of an evidence- and risk-based bundle of interventions to improve postnatal care (PNC) for dyads. <br /> <br />The primary outcome is maternal and/or neonatal death or need for re-admission within six weeks of birth. <br /> <br />Secondary outcomes include:<br /> 1. Post-natal care visits during the 6-week post-discharge period <br /> 2. Post-discharge health seeking practices for mothers/newborns during the 6-week post-discharge period<br /> 3. Causes of readmission/mortality among those who experience such outcomes, based on verbal autopsies and admission symptom/diagnosis questionnaires.<br /> <br /><strong>Data Collection Methods:</strong> All data will be collected at the point of care using encrypted study tablets. These data will be uploaded to a Research Electronic Data Capture (REDCap) database hosted at the BC Children’s Hospital Research Institute (Vancouver, Canada). At admission, trained study nurses will systematically collect data on clinical, social and demographic variables. Following discharge, field officers will contact mothers at 6-weeks post-discharge, to determine vital status, post-discharge health-seeking, and readmission details. Verbal autopsies were conducted for participants who had died following discharge.<br /> <br /> Direct observation and interviews will be conducted on a sub-set of participants to collect process outcomes and barriers and facilitators to the patient's journey. FGDs will be digitally recorded, transcribed verbatim in the language spoken during the recording and analyzed for emerging themes. <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>Associated datasets:</strong> <br /> Pending publication <br /><strong>NOTE for restricted files:</strong> If you are not yet a CoLab member, please complete our <a href = "https://rc.bcchr.ca/redcap/surveys/?s=EDCYL7AC79">membership application survey</a> to gain access to restricted files within 2 business days. <br />Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator on <a href = "https://www.bcchr.ca/pediatric-sepsis-data-colab">this page</a> under "collaborate with the pediatric sepsis colab."

Komugisha, Clare; Trawin, Jessica; Mwaka, Savio; Kajumba Nsangi, Damalie; Kanyali, Charlene; DeKorne, Micah; Kenya-Mugisha, Nathan; Wiens, Matthew — 2022-06-02 <br /><strong>NOTE for restricted files:</strong> If you are not yet a CoLab member, please complete our <a href = "https://rc.bcchr.ca/redcap/surveys/?s=EDCYL7AC79">membership application survey</a> to gain access to restricted files within 2 business days. <br />Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator on <a href = "https://www.bcchr.ca/pediatric-sepsis-data-colab">this page</a> under "collaborate with the pediatric sepsis colab." <strong>Objective(s):</strong> Smart Discharges is a digital health program that uses individual-level risk prediction and intervention to increase effective health seeking behavior, improve health outcomes, and reduce mortality during the post-discharge period. Health workers aim to mitigate risk by educating caregivers on post-discharge care practices and by scheduling follow-up visits for at-risk children in their communities. <br /> <br /><strong>Data Description:</strong> This dataset features a 7-part caregiver counselling video series tailored to the Ugandan context. It includes an introductory video and seven videos focusing on essential post-discharge care practices: <br /> <br />1) Hygiene<br /> 2) Nutrition<br /> 3) Breastfeeding<br /> 4) Care Seeking<br /> 5) Mosquito Net Use<br /> 6) Medications<br /> 7) Immunizations<br /> <br />Videos are available in English and local Ugandan languages of Acholi, Luganda, Lusoga, and Runyankole. This dataset contains the <strong> English</strong> version. <br /> <br /><strong>Limitations:</strong> Videos were designed for the Ugandan context and may not be generalizable to other settings. <br /> <br /><strong>Abbreviations:</strong> Village Health Teams (VHT) (i.e. local term for Community Health Worker (CHW))<br /> <br /><strong>Ethics Declaration:</strong> NA<br /> <br /><strong>Funding Source(s):</strong> BC Children's Hospital Foundation; Grand Challenges Canada; Mining4Life; Thrasher Research Fund;<br />

Komugisha, Clare; Trawin, Jessica; Mwaka, Savio; Kajumba Nsangi, Damalie; Kanyali, Charlene; DeKorne, Micah; Kenya-Mugisha, Nathan; Wiens, Matthew — 2022-06-02 <br /><strong>NOTE for restricted files:</strong> If you are not yet a CoLab member, please complete our <a href = "https://rc.bcchr.ca/redcap/surveys/?s=EDCYL7AC79">membership application survey</a> to gain access to restricted files within 2 business days. <br />Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator on <a href = "https://www.bcchr.ca/pediatric-sepsis-data-colab">this page</a> under "collaborate with the pediatric sepsis colab." <strong>Objective(s):</strong> Smart Discharges is a digital health program that uses individual-level risk prediction and intervention to increase effective health seeking behavior, improve health outcomes, and reduce mortality during the post-discharge period. Health workers aim to mitigate risk by educating caregivers on post-discharge care practices and by scheduling follow-up visits for at-risk children in their communities. <br /> <br /><strong>Data Description:</strong> This dataset features a 7-part caregiver counselling video series tailored to the Ugandan context. It includes an introductory video and seven videos focusing on essential post-discharge care practices: <br /> <br />1) Hygiene<br /> 2) Nutrition<br /> 3) Breastfeeding<br /> 4) Care Seeking<br /> 5) Mosquito Net Use<br /> 6) Medications<br /> 7) Immunizations<br /> <br />Videos are available in English and local Ugandan languages of Acholi, Luganda, Lusoga, and Runyankole. This dataset contains the <strong> Runyankole</strong> version. <br /> <br /><strong>Limitations:</strong> Videos were designed for the Ugandan context and may not be generalizable to other settings. <br /> <br /><strong>Abbreviations:</strong> Village Health Teams (VHT) (i.e. local term for Community Health Worker (CHW))<br /> <br /><strong>Ethics Declaration:</strong> NA<br /> <br /><strong>Funding Source(s):</strong> BC Children's Hospital Foundation; Grand Challenges Canada; Mining4Life; Thrasher Research Fund;

Komugisha, Clare; Trawin, Jessica; Mwaka, Savio; Kajumba Nsangi, Damalie; Kanyali, Charlene; DeKorne, Micah; Kenya-Mugisha, Nathan; Wiens, Matthew — 2022-06-02 <br /><strong>NOTE for restricted files:</strong> If you are not yet a CoLab member, please complete our <a href = "https://rc.bcchr.ca/redcap/surveys/?s=EDCYL7AC79">membership application survey</a> to gain access to restricted files within 2 business days. <br />Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator on <a href = "https://www.bcchr.ca/pediatric-sepsis-data-colab">this page</a> under "collaborate with the pediatric sepsis colab." <strong>Objective(s):</strong> Smart Discharges is a digital health program that uses individual-level risk prediction and intervention to increase effective health seeking behavior, improve health outcomes, and reduce mortality during the post-discharge period. Health workers aim to mitigate risk by educating caregivers on post-discharge care practices and by scheduling follow-up visits for at-risk children in their communities. <br /> <br /><strong>Data Description:</strong> This dataset features a 7-part caregiver counselling video series tailored to the Ugandan context. It includes an introductory video and seven videos focusing on essential post-discharge care practices: <br /> <br />1) Hygiene<br /> 2) Nutrition<br /> 3) Breastfeeding<br /> 4) Care Seeking<br /> 5) Mosquito Net Use<br /> 6) Medications<br /> 7) Immunizations<br /> <br />Videos are available in English and local Ugandan languages of Acholi, Luganda, Lusoga, and Runyankole. This dataset contains the <strong> Luganda</strong> version. <br /> <br /><strong>Limitations:</strong> Videos were designed for the Ugandan context and may not be generalizable to other settings. <br /> <br /><strong>Abbreviations:</strong> Village Health Teams (VHT) (i.e. local term for Community Health Worker (CHW))<br /> <br /><strong>Ethics Declaration:</strong> NA<br /> <br /><strong>Funding Source(s):</strong> BC Children's Hospital Foundation; Grand Challenges Canada; Mining4Life; Thrasher Research Fund;

Komugisha, Clare; Trawin, Jessica; Mwaka, Savio; Kajumba Nsangi, Damalie; Kanyali, Charlene; DeKorne, Micah; Kenya-Mugisha, Nathan; Wiens, Matthew — 2022-06-02 <br /><strong>NOTE for restricted files:</strong> If you are not yet a CoLab member, please complete our <a href = "https://rc.bcchr.ca/redcap/surveys/?s=EDCYL7AC79">membership application survey</a> to gain access to restricted files within 2 business days. <br />Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator on <a href = "https://www.bcchr.ca/pediatric-sepsis-data-colab">this page</a> under "collaborate with the pediatric sepsis colab." <strong>Objective(s):</strong> Smart Discharges is a digital health program that uses individual-level risk prediction and intervention to increase effective health seeking behavior, improve health outcomes, and reduce mortality during the post-discharge period. Health workers aim to mitigate risk by educating caregivers on post-discharge care practices and by scheduling follow-up visits for at-risk children in their communities. <br /> <br /><strong>Data Description:</strong> This dataset features a 7-part caregiver counselling video series tailored to the Ugandan context. It includes an introductory video and seven videos focusing on essential post-discharge care practices: <br /> <br />1) Hygiene<br /> 2) Nutrition<br /> 3) Breastfeeding<br /> 4) Care Seeking<br /> 5) Mosquito Net Use<br /> 6) Medications<br /> 7) Immunizations<br /> <br />Videos are available in English and local Ugandan languages of Acholi, Luganda, Lusoga, and Runyankole. This dataset contains the <strong> Lusoga</strong> version. <br /> <br /><strong>Limitations:</strong> Videos were designed for the Ugandan context and may not be generalizable to other settings. <br /> <br /><strong>Abbreviations:</strong> Village Health Teams (VHT) (i.e. local term for Community Health Worker (CHW))<br /> <br /><strong>Ethics Declaration:</strong> NA<br /> <br /><strong>Funding Source(s):</strong> BC Children's Hospital Foundation; Grand Challenges Canada; Mining4Life; Thrasher Research Fund;

Uganda Ministry of Health; Komugisha, Clare; Kenya-Mugisha, Nathan; Wiens, Matthew O — 2023-02-13 <strong>Objective(s):</strong> The Smart Discharges Health Worker Training Program uses a train-the-trainer model to improve the quality of discharge care. Core learning components include: 1) understanding why children die during the vulnerable period after discharge; 2) conducting risk assessment for post-discharge vulnerability (facility-based health workers only); and 3) Effective counselling practices. <br /><strong>Data Description:</strong> This dataset includes the following materials for use in the Smart Discharges Training Program: 1) Facilitators Guide; 2) Health Workers Guide; 3) Community Health Worker’s Trainer’s Manual; 4) Smart Discharges Training Pre-Post Test; 5) Smart Discharges Training Program Evaluation Form. Materials were originally developed by WALIMU, in partnership with the University of British Columbia, and were adapted by the Uganda Ministry of Health. <br />All materials are provided in the English language. <br /><strong>Limitations:</strong> These materials were designed for the Ugandan context and may not be generalizable to other settings. <br /><strong>Abbreviations:</strong> Village Health Teams (VHT) (i.e. local term for Community Health Worker (CHW)) <br /><strong>Ethics Declaration:</strong> NA <br /><strong>Funding Source(s):</strong> BC Children's Hospital Foundation; Grand Challenges Canada; Mining4Life; Thrasher Research Fund; <br /><strong>NOTE for restricted files:</strong> If you are not yet a CoLab member, please complete our <a href = "https://rc.bcchr.ca/redcap/surveys/?s=EDCYL7AC79">membership application survey</a> to gain access to restricted files within 2 business days. <br />Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator on <a href = "https://www.bcchr.ca/pediatric-sepsis-data-colab">this page</a> under "collaborate with the pediatric sepsis colab."

Ansermino, J Mark; Tagoola, Abner; Akech, Samuel; Mawji, Alishah; Wiens, Matthew O; Kissoon, Niranjan; Li, Edmond; Kenya-Mugisha, Nathan — 2024-11-20 This data is the Saving young lives: Triage and treatment using the pediatric rapid sepsis trigger (PRST) tool study. Data collected for this study occurred from April 2020 to April 2022. <br> <br/><strong>Objective(s):</strong> This is a pre-post intervention study involving pediatric patients presenting to the study hospitals in seek of medical care for an acute illness. The purpose of this study was to develop a prediction model and to perform clinical validation of a digital triage tool to guide triage and treatment of children at health facilities in LMICs with severe infections/suspected sepsis. The study involved three phases: (I) Baseline Period, (II) Interphase Period, (III) Intervention Period. The study hospitals include 2 sites in Kenya (1 control site, 1 experimental site) and 2 in Uganda (1 control site, 1 experimental site). <br> <br /><strong>Data Description:</strong> Predictor variables were collected at the time of triage by trained study nurses using a custom-built mobile application. All data entered into the mobile application was stored an encrypted database. Data was uploaded directly from the mobile device to a Research Electronic Data Capture (REDCap) database hosted at the BC Children’s Hospital Research Institute (Vancouver, Canada). Outcomes were obtained from facility records or telephone follow-up at 7-10 days and the data was collected electronically. Time-specific outcomes were tracked using an RFID tagging system with study personnel as backup. <br> <br /><strong>Limitations:</strong> There is missing data and some variables were not collected at all sites. <br> <br /><strong>Ethics Declaration:</strong> This study was approved by the Makerere University Higher Degrees research and Ethics Committee (No. 743), the Uganda National Institute of Science and Technology (HS 528ES), and the University of British Columbia / Children & Women’s Health Centre of British Columbia Research Ethics Board (H19-02398 & H20-00484). <br /><strong>NOTE for restricted files:</strong> If you are not yet a CoLab member, please complete our <a href = "https://rc.bcchr.ca/redcap/surveys/?s=EDCYL7AC79">membership application survey</a> to gain access to restricted files within 2 business days. <br />Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator at <a href = mailto:sepsiscolab@bccchr.ca>sepsiscolab@bcchr.ca</a> or visit our <a href = "https://wfpiccs.org/pediatric-sepsis-colab/">website</a>.

Komugisha, Clare; Trawin, Jessica; Mwaka, Savio; Kajumba Nsangi, Damalie; Kanyali, Charlene; DeKorne, Micah; Kenya-Mugisha, Nathan; Wiens, Matthew — 2022-06-02 <br /><strong>NOTE for restricted files:</strong> If you are not yet a CoLab member, please complete our <a href = "https://rc.bcchr.ca/redcap/surveys/?s=EDCYL7AC79">membership application survey</a> to gain access to restricted files within 2 business days. <br />Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator on <a href = "https://www.bcchr.ca/pediatric-sepsis-data-colab">this page</a> under "collaborate with the pediatric sepsis colab." <strong>Objective(s):</strong> Smart Discharges is a digital health program that uses individual-level risk prediction and intervention to increase effective health seeking behavior, improve health outcomes, and reduce mortality during the post-discharge period. Health workers aim to mitigate risk by educating caregivers on post-discharge care practices and by scheduling follow-up visits for at-risk children in their communities. <br /> <br /><strong>Data Description:</strong> This dataset features a 7-part caregiver counselling video series tailored to the Ugandan context. It includes an introductory video and seven videos focusing on essential post-discharge care practices: <br /> <br />1) Hygiene<br /> 2) Nutrition<br /> 3) Breastfeeding<br /> 4) Care Seeking<br /> 5) Mosquito Net Use<br /> 6) Medications<br /> 7) Immunizations<br /> <br />Videos are available in English and local Ugandan languages of Acholi, Luganda, Lusoga, and Runyankole. This dataset contains the <strong> Acholi</strong> version. <br /> <br /><strong>Limitations:</strong> Videos were designed for the Ugandan context and may not be generalizable to other settings. <br /> <br /><strong>Abbreviations:</strong> Village Health Teams (VHT) (i.e. local term for Community Health Worker (CHW))<br /> <br /><strong>Ethics Declaration:</strong> NA<br /> <br /><strong>Funding Source(s):</strong> BC Children's Hospital Foundation; Grand Challenges Canada; Mining4Life; Thrasher Research Fund;

Wiens, Matthew; Kabakyenga, Jerome; Kumbakumba, Elias; Businge, Stephen; Kenya-Mugisha, Nathan; Larson, Charles P; Moschovis, Peter P; Singer, Joel; Lavoie, Pascal; Dumont, Guy AM; Ansermino, J Mark; Kissoon, Niranjan — 2021-03-30 This data is a subset of the Smart Discharges Uganda Under 5 years parent study and is specific to the Phase I observational cohort of children aged 6-60 months containing <strong>pulse oximetry</strong> data.<br /> <br /><strong>Background:</strong> Substantial mortality occurs after hospital discharge in children under 5 years old with suspected sepsis. This study aimed to refine and externally validate a previously developed post-discharge mortality prediction model.<br /> <br /><strong>Methods:</strong> In this prospective observational cohort study, we recruited 6-60-month-old children admitted with suspected sepsis from the community to the paediatric wards of four Ugandan hospitals. The primary outcome was six-month post-discharge mortality among those discharged alive. <br /> <br /><strong>Data Collection Methods:</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). At admission, trained study nurses systematically collected data on clinical, social and demographic variables. Following discharge, field officers contacted caregivers at 2 and 4 months by phone, and in-person at 6 months, to determine vital status, post-discharge health-seeking, and readmission details. Verbal autopsies were conducted for children who had died following discharge.<br /> <br /><strong>Ethics Declaration:</strong> This study was approved by the Mbarara University of Science and Technology Research Ethics Committee (No. 15/10-16), the Uganda National Institute of Science and Technology (HS 2207), and the University of British Columbia / Children & Women’s Health Centre of British Columbia Research Ethics Board (H16-02679). This manuscript adheres to the guidelines for STrengthening the Reporting of OBservational studies in Epidemiology (STROBE). <br /><strong>NOTE for restricted files:</strong> If you are not yet a CoLab member, please complete our <a href = "https://rc.bcchr.ca/redcap/surveys/?s=EDCYL7AC79">membership application survey</a> to gain access to restricted files within 2 business days. <br />Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator on <a href = "https://www.bcchr.ca/pediatric-sepsis-data-colab">this page</a> under "collaborate with the pediatric sepsis colab."

Kabajaasi, Olive; Trawin, Jessica; Derksen, Brooklyn; Komugisha, Clare; Mwaka, Savio; Waiswa, Peter; Nsungwa-Sabiiti, Jesca; Ansermino, J Mark; Kissoon, Niranjan; Duby, Jessica; Kenya-Mugisha, Nathan; Wiens, Matthew O — 2023-06-29 <br /><strong>Background:</strong> The World Health Organization (WHO) Integrated Management of Childhood Illness (IMCI) guidelines recognize the importance of discharge planning to ensure continuation of care at home and appropriate follow-up. However, insufficient attention has been paid to post discharge planning in many hospitals contributing to poor implementation. To understand the reasons for suboptimal discharge, we evaluated the pediatric discharge process from hospital admission through the transition to care within the community in Ugandan hospitals. <br /> <br /><strong>Methods:</strong> This mixed methods prospective study enrolled 92 study participants in three phases: patient journey mapping for 32 admitted children under-5 years of age with suspected or proven infection, discharge process mapping with 24 pediatric healthcare workers, and focus group discussions (FDGs) with 36 primary caregivers and fathers of discharged children. Data were descriptively and thematically analyzed.<br /> <br /><strong>Findings:</strong> The typical discharge process is often not centered around the needs of the child and family. Discharge planning often does not begin until immediately prior to discharge and generally does not include caregiver input. Discharge education and counselling are generally limited, rarely involves the father, and does not focus significantly on post-discharge care or follow-up. Delays in the discharge process itself occur at multiple points, including while awaiting a physical discharge order and then following a discharge order, mainly with billing or transportation issues.<br /> <br /><strong>Data Collection Methods:</strong> <strong>Journey mapping</strong> data were collected using the REDCap Mobile App and were then uploaded to a REDCap database hosted at the BC Children’s Hospital Research Institute (Vancouver, Canada). Study nurses conducted direct observation during in-hospital care as well as caregiver interviews at admission and 72 hours post-discharge using a series of checklists and close-ended questions with some open-entry questions to identify process outcomes as well as barriers and facilitators to the patient’s journey. Healthcare provider working groups engaged in two brainstorming sessions per hospital to develop a <strong>process map</strong> of each hospital’s current pediatric discharge process and to identify inefficiencies to care and potential solutions. Using paper, pens, and sticky notes, group members jointly mapped out the discharge pathways of their respective facilities and jointly identified all stages of the process. Data were captured using worksheets and audio recordings. A trained research assistant facilitated <strong>FGD</strong> two weeks after direct observation concluded with patient caregivers. Participants were asked to respond to open-ended questions that focused on their experiences regarding their child’s admission, hospital stay, discharge and post-discharge. All FGDs were digitally recorded, transcribed verbatim and translated into English by external individuals fluent in the languages. Healthcare provider working groups engaged in two brainstorming sessions per hospital to develop a map of each hospital’s current pediatric discharge process and to identify inefficiencies to care and potential solutions. <br /> <br /><strong>Ethics Declaration:</strong> Ethical approvals were obtained from Makerere University (HDREC #850), Uganda National Council for Science and Technology (#HS929ES) and the University of British Columbia (UBC C&W REB # H20-02519).<br /> <br /><strong>Study Protocol & Supplementary Materials:</strong> <br /> <a href = "https://doi.org/10.5683/SP3/IDLGNN">Smart Discharges Transition to Scale</a><br /> <br /><strong>NOTE for restricted files:</strong> If you are not yet a CoLab member, please complete our <a href = "https://rc.bcchr.ca/redcap/surveys/?s=EDCYL7AC79">membership application survey</a> to gain access to restricted files within 2 business days. <br />Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator at <a href = mailto:sepsiscolab@bccchr.ca>sepsiscolab@bcchr.ca</a> or visit our <a href = "https://wfpiccs.org/pediatric-sepsis-colab/">website</a>.

Knappett, Martina; Nguyen, Vuong; Chaudhry, Maryum; Trawin, Jessica; Kabakyenga, Jerome; Kumbakumba, Elias; Jacob, Shevin T; Ansermino, J Mark; Kissoon, Niranjan; Kenya-Mugisha, Nathan; Wiens, Matthew O — 2024-02-02 <br /><strong>NOTE for restricted files:</strong> If you are not yet a CoLab member, please complete our <a href = "https://rc.bcchr.ca/redcap/surveys/?s=EDCYL7AC79">membership application survey</a> to gain access to restricted files within 2 business days. <br />Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator at <a href = mailto:sepsiscolab@bccchr.ca>sepsiscolab@bcchr.ca</a> or visit our <a href = "https://wfpiccs.org/pediatric-sepsis-colab/">website</a>. <br/><strong>Background:</strong> Under-five mortality remains concentrated in resource-poor countries. Post-discharge mortality is becoming increasingly recognized as a significant contributor to overall child mortality. With a substantial recent expansion of research and novel data synthesis methods, this study aims to update the current evidence base by providing a more nuanced understanding of the burden and associated risk factors of pediatric post-discharge mortality after acute illness.<br /> <br /><strong>Methods:</strong> Eligible studies published between January 1, 2017 and January 31, 2023, were retrieved using MEDLINE, Embase, and CINAHL databases. Studies published before 2017 were identified in a previous review and added to the total pool of studies. Only studies from countries with low or low-middle Socio-Demographic Index with a post-discharge observation period greater than seven days were included. Risk of bias was assessed using a modified version of the Joanna Briggs Institute critical appraisal tool for prevalence studies. Studies were grouped by patient population, and 6-month post-discharge mortality rates were quantified by random-effects meta-analysis. Secondary outcomes included post-discharge mortality relative to in-hospital mortality, pooled risk factor estimates, and pooled post-discharge Kaplan–Meier survival curves. PROSPERO study registration: #CRD42022350975.<br /> <br /><strong>Findings:</strong> Of 1963 articles screened, 42 eligible articles were identified and combined with 22 articles identified in the previous review, resulting in 64 total articles. These articles represented 46 unique patient cohorts and included a total of 105,560 children. For children admitted with a general acute illness, the pooled risk of mortality six months post-discharge was 4.4% (95% CI: 3.5%–5.4%, I2 = 94.2%, n = 11 studies, 34,457 children), and the pooled in-hospital mortality rate was 5.9% (95% CI: 4.2%–7.7%, I2 = 98.7%, n = 12 studies, 63,307 children). Among disease subgroups, severe malnutrition (12.2%, 95% CI: 6.2%–19.7%, I2 = 98.2%, n = 10 studies, 7760 children) and severe anemia (6.4%, 95% CI: 4.2%–9.1%, I2 = 93.3%, n = 9 studies, 7806 children) demonstrated the highest 6-month post-discharge mortality estimates. Diarrhea demonstrated the shortest median time to death (3.3 weeks) and anemia the longest (8.9 weeks). Most significant risk factors for post-discharge mortality included unplanned discharges, severe malnutrition, and HIV seropositivity.<br /> <br /><strong>Interpretation:</strong> Pediatric post-discharge mortality rates remain high in resource-poor settings, especially among children admitted with malnutrition or anemia. Global health strategies must prioritize this health issue by dedicating resources to research and policy innovation.<br /> <br /><strong>Data Processing Methods:</strong> Data were extracted using a standard data extraction form developed by the review authors. Kaplan–Meier survival curves, where provided, were extracted using a plot digitizer. The data extraction file, “PDMSR2024_DataExtraction_Dataset_SD” was generated as described above and analyzed as is. <br /> <br />Co-ordinates were extracted from the survival curves in their original, published form, using a plot digitizer (https://automeris.io/WebPlotDigitizer/). The co-ordinates for each survival curve were then cleaned up to: <br /> <br />1. Re-scale the time points to weeks<br /> 2. Curves which reported % mortality were converted to % survival (1 – mortality)<br /> 3. First co-ordinate was set to (0, 1), i.e., survival is 100% at time-point 0<br /> 4. Include the numbers at risk (if reported), primary reference, and subgroup information<br /> <br />Using these cleaned co-ordinates, individual-level patient data were extracted (see Guyot et al, 2012, <a href = "https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/1471-2288-12-9">doi.org/10.1186/1471-2288-12-9</a>) and the survival curves re-constructed to obtain the survival and number at risk at specified time-points (0-52 weeks). Where possible, disease and age subgroups were combined to create all admissions curves by combining the individual-level patient data from multiple curves in the same study. <br /> <br />Additional data from the survival curves were extracted to produce the “PDMSR2024_AdditionalDataSurvivalCurves6M_Dataset_SD” and “PDMSR2024_AdditionalDataSurvivalCurves12M_Dataset_SD” files by extracting the survival rate at 6 and 12 months. <br /> <br />Previously unpublished hazards ratios were extracted from the dataset used in the Wiens et al (2015) study on post-discharge mortality (<a href = "https://doi.org/10.1136%2Fbmjopen-2015-009449">doi:10.1136/bmjopen-2015-009449</a>) to produce the “PDMSR2024_Wiens2015HazardsRatios_Dataset_SD.xlsx” file. These original data are published on Dataverse at: <a href = "https://doi.org/10.5683/SP2/VBPLRM">doi.org/10.5683/SP2/VBPLRM</a> <br /> <br />Analyses were in R version 4.3.0 (R Foundation for Statistical Computing, Vienna, Austria), and RStudio version 2023.6.1 (RStudio, Boston, MA). <br /> <br /><strong>Additional Files:</strong> Survival curves in their original, published form, as well as survival curve coordinates files can be made available by request.

Wiens, Matthew; Trawin, Jessica; Komugisha, Clare; Mwaka, Savio; Nsungwa, Jesca; Kissoon, Niranjan; Ansermino, J Mark; Kenya-Mugisha, Nathan — 2023-06-15 <br /><strong>Dataset Description:</strong> This dataset contains materials from a the Smart Discharges Transition to Scale parent study within the <a href = "https://bcchr.ca/smart-discharges">Smart Discharges</a> program of research. Materials include the parent study protocol and associated documents. See the Metadata section below for links to related publications and datasets.<br /> <br /><strong>Background:</strong> In Uganda, approximately 5% of children admitted with severe infections die after they have been discharged from the hospital, mostly at home. Most of these deaths are preventable as they are largely due to the way that discharges are done and how follow-ups are planned. Health workers and caregivers are often unaware of this period of vulnerability and are poorly equipped to identify and handle this critical situation. Our previous work focused on developing and evaluating models and technology to predict, before discharge, an individual child’s risk of recurrent illness, as well as to provide additional post-discharge support to at-risk children. The goal of this project is to determine how best to scale the Smart Discharges Program through a four-phased approach, each corresponding to a specific objective. <strong>Phase I :</strong> aims to understand the reasons for suboptimal discharge by evaluating the pediatric discharge process from hospital admission through the transition to care within the community. <strong>Phase II :</strong> aims to assess pediatric discharge policies and facility readiness for change in a nationally representative sample of health facilities in Uganda. <strong>Phase III :</strong> aims to evaluate the effects of the Smart Discharges Health Worker Training Program on discharge care practices and procedures. <strong>Phase IV :</strong> aims to complete the facility-based linkage to care through the use of a community-based follow-up system. <br /> <br /><strong>Methods:</strong> Each of the four project phases utilizes different research methodologies. <strong>Phase I </strong> is a mixed methods prospective study utilizing patient journey mapping, discharge process mapping, and focus group discussions at 3 Ugandan Hospitals. <strong>Phase II </strong> is a cross-sectional, survey-based study conducted at 36 health facilities providing in-patient pediatric care in Uganda. <strong>Phase III and IV :</strong> (implemented together) is a quality improvement intervention at 16 health facilities in Uganda. <br /> <br /><strong>Discussion:</strong> Ultimately this work is focused on ensuring widespread adoption of Smart Discharges practices throughout Uganda by building capacity that ensures sustainability. Exploring and characterizing the existing pediatric discharge process, including human and health system factors that impact this process, will allow us to operationalize the Smart Discharges innovation into an effective health-systems approach to this neglected issue.<br /> <br /><strong>Ethics Declaration:</strong> Ethics approvals have been obtained from the Makerere University School of Public Health (MakSPH) Institutional Review Board (PI: 850; PII: 851; PIII/IV: 836), the Uganda National Council of Science and Technology (UNCST) in Uganda (PI: HS929ES; PII: HS928ES; PIII/IV: HS926ES) and the University of British Columbia in Canada (PI-IV: H20-02519). <br /> <br /><strong>NOTE for restricted files:</strong> If you are not yet a CoLab member, please complete our <a href = "https://rc.bcchr.ca/redcap/surveys/?s=EDCYL7AC79">membership application survey</a> to gain access to restricted files within 2 business days. <br />Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab Coordinator at <a href = mailto:sepsiscolab@bccchr.ca>sepsiscolab@bcchr.ca</a> or visit our <a href = "https://wfpiccs.org/pediatric-sepsis-colab/">website</a>.

Pillay, Yashodani; Ngonzi, Joseph; Nguyen, Vuong; Payne, Beth A.; Komugisha, Clare; Twinomujuni, Annet H.; Vidler, Marianne; Lavoie, Pascal M.; Bebell, Lisa M.; Christoffersen-Deb, Astrid; Kenya-Mugisha, Nathan; Kissoon, Niranjan; Ansermino, J Mark; Wiens, Matthew O — 2023-11-09 <br/><strong>Background:</strong> The first six weeks following delivery bear the most significant and persistent burden of under-5 and maternal death, and severe neonatal and maternal morbidity. Efforts are currently underway to improve outcomes immediately following births at health facilities for both mothers and newborns. However, care following facility discharge presents significant challenges and accounts for a high proportion of maternal and neonatal death and morbidity. The objective of this study is to develop a clinical risk prediction model using maternal and infant characteristics collected at the time of hospital discharge following a facility delivery to predict maternal or neonatal death or major morbidity within six weeks of birth. A secondary objective is to characterize the epidemiology of post-discharge mortality and morbidity for women and their infants after facility delivery. <br/> <br /><strong>Methods:</strong> We will recruit a cohort of 3200 maternal and infant pairs after delivery at Mbarara Regional Referral Hospital to develop the risk model. This study involves prospective recruitment and data collection prior to discharge and final follow-up at six weeks postpartum for both mom and baby. Initial data collection will be completed by study research nurses as a prospective chart review and time of discharge patient assessment. Data collection will include maternal socio-demographics variables, clinical condition during admission, details of delivery and co-morbid conditions and maternal and infant vital signs at hospital discharge. Six-week follow up will be completed in person at the facility or through telephone follow-up to capture any maternal or infant adverse outcomes, including details of any re-admission to hospital, occurring after the initial discharge.<br /> <br /><strong>Ethics Declaration:</strong> Institutional review boards at the University of British Columbia (H18-02523), the Mbarara University of Science and Technology (14/09-18), and the Uganda National Council for Science and Technology (SS 4853) approved the study.<br /> <br /><strong>NOTE for restricted files:</strong> If you are not yet a CoLab member, please complete our <a href = "https://rc.bcchr.ca/redcap/surveys/?s=EDCYL7AC79">membership application survey</a> to gain access to restricted files within 2 business days. <br />Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator at <a href = mailto:sepsiscolab@bccchr.ca>sepsiscolab@bcchr.ca</a> or visit our <a href = "https://wfpiccs.org/pediatric-sepsis-colab/">website</a>.

Uganda Ministry of Health; Komugisha, Clare; Kenya-Mugisha, Nathan; Wiens, Matthew — 2022-07-20 <strong>Objective(s):</strong> Smart Discharges is a digital health program that uses individual-level risk prediction and intervention to increase effective health seeking behavior, improve health outcomes, and reduce child mortality during the post-discharge period. Health workers aim to mitigate risk by educating caregivers on post-discharge care and by scheduling follow-up visits for at-risk children in their communities. <br /><strong>Data Description:</strong> This dataset includes the following materials for caregiver counselling: 1) Caregiver counselling guide for Health Workers use; 2) Post-hospital discharge counselling cards for Health Workers use 3) Mother's counselling card (Truncated version) for Health Workers use 4) Post-discharge care counselling cards for community health workers use. Materials were originally developed by WALIMU, in partnership with the University of British Columbia, and were adapted by the Uganda Ministry of Health. <br />All materials are provided in the English language. <br /><strong>Limitations:</strong> These materials were designed for the Ugandan context and may not be generalizable to other settings. <br /><strong>Abbreviations:</strong> Village Health Teams (VHT) (i.e. local term for Community Health Worker (CHW)) <br /><strong>Ethics Declaration:</strong> NA <br /><strong>Funding Source(s):</strong> BC Children's Hospital Foundation; Grand Challenges Canada; Mining4Life; Thrasher Research Fund; <br /><strong>NOTE for restricted files:</strong> If you are not yet a CoLab member, please complete our <a href = "https://rc.bcchr.ca/redcap/surveys/?s=EDCYL7AC79">membership application survey</a> to gain access to restricted files within 2 business days. <br />Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator on <a href = "https://www.bcchr.ca/pediatric-sepsis-data-colab">this page</a> under "collaborate with the pediatric sepsis colab."

Zhang, Cherri; Wiens, Matthew O; Dunsmuir, Dustin; Pillay, Yashodani; Huxford, Charly; Kimutai, David; Tenywa, Emmanuel; Ouma, Mary; Kigo, Joyce; Kamau, Stephen; Chege, Mary; Kenya-Mugisha, Nathan; Mwaka, Savio; Dumont, Guy A; Kisson, Niranjan; Akech, Samuel; Ansermino, J Mark — 2024-06-12 <br /><strong>Background:</strong> Age is an important risk factor among critically ill children with neonates being the most vulnerable. Clinical prediction models need to account for age differences and must be externally validated and updated, if necessary, to enhance reliability, reproducibility, and generalizability. We externally validated the Smart Triage model using a combined prospective baseline cohort from three hospitals in Uganda and two in Kenya using admission, mortality, and readmission. <br/> <br /><strong>Methods:</strong> We evaluated model discrimination using area under the receiver-operator curve (AUROC) and visualized calibration plots. In addition, we performed subsetting analysis based on age groups (< 30 days, ≤ 2 months, ≤ 6 months, and < 5 years). We revised the model for neonates (< 1 month) by re-estimating the intercept and coefficients and selected new thresholds to maximize sensitivity and specificity. 11595 participants under the age of five (under-5) were included in the analysis. <br/> <br /><strong>Results:</strong> The proportion with an outcome ranged from 8.9% in all children under-5 (including neonates) to 26% in the neonatal subset alone. The model achieved good discrimination for children under-5 with AUROC of 0.81 (95% CI: 0.79-0.82) but poor discrimination for neonates with AUROC of 0.62 (95% CI: 0.55-0.70). Sensitivity at the low-risk thresholds (CI) were 0.85 (0.83-0.87) and 0.68 (0.58-0.76) for children under-5 and neonates, respectively. Specificity at the high-risk thresholds were 0.93 (0.93-0.94) and 0.96 (0.94-0.98) for children under-5 and neonates, respectively. After model revision for neonates, we achieved an AUROC of 0.83 (0.79-0.87) with 13% and 41% as the low- and high-risk thresholds, respectively. <br/> <br /><strong>Discussion:</strong> The Smart Triage model showed good discrimination for children under-5. However, a revised model is recommended for neonates due to their uniqueness in disease susceptibly, host response, and underlying physiological reserve. External validation of the neonatal model and additional external validation of the under-5 model in different contexts is required. <br/> <br /><strong>NOTE for restricted files:</strong> If you are not yet a CoLab member, please complete our <a href = "https://rc.bcchr.ca/redcap/surveys/?s=EDCYL7AC79">membership application survey</a> to gain access to restricted files within 2 business days. <br />Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator at <a href = mailto:sepsiscolab@bccchr.ca>sepsiscolab@bcchr.ca</a> or visit our <a href = "https://wfpiccs.org/pediatric-sepsis-colab/">website</a>.

Pillay,Yashodani; Ngonzi, Joseph; Nguyen, Vuong; Payne, Beth A; Komugisha, Clare; Twinomujuni, Annet H.; Vidler, Marianne; Lavoie, Pascal M.; Bebell, Lisa M.; Christoffersen-Deb, Astrid; Kenya-Mugisha, Nathan; Kissoon, Niranjan; Ansermino, J Mark; Wiens, Matthew O — 2024-08-14 <br/><strong>Background:</strong> Sub-Saharan Africa accounts for two-thirds of the global burden of maternal and newborn deaths. Adverse outcomes among postpartum women and newborns occurring in the first six weeks of life are often related, though data co-examining patients are limited. This study is an exploratory analysis describing the epidemiology of postnatal complications among postpartum women and newborns following facility birth and discharge in Mbarara, Uganda.<br/> <br /><strong>Methods: </strong> This single-site prospective cohort observational study enrolled postpartum women following facility-based delivery. To capture health information about both the postpartum women and newborns, data was collected and categorized according to domains within the continuum of care including (1) social and demographic, (2) pregnancy history and antenatal care, (3) delivery, (4) maternal discharge, and (5) newborn discharge. The primary outcomes were readmission and mortality within the six-week postnatal period as defined by the WHO. Multivariable logistic regression was used to identify risk factors. <br /> <br /><strong>Findings: </strong> Among 2930 discharged dyads, 2.8% and 9.0% of women and newborns received three or more postnatal visits respectively. Readmission and deaths occurred among 108(3.6%) and 25(0.8%) newborns and in 80(2.7%) and 0(0%) women, respectively. Readmissions were related to sepsis/infection in 70(88%) women and 68(63%) newborns. Adjusted analysis found that caesarean delivery (OR:2.91; 95%CI:1.5–6.04), longer travel time to the facility (OR:1.54; 95%CI:1.24–1.91) and higher maternal heart rate at discharge (OR:1.02; 95%CI:1.00–1.01) were significantly associated with maternal readmission. Discharge taken on all patients including maternal haemoglobin (per g/dL) (OR:0.90; 95%CI:0.82–0.99), maternal symptoms (OR:1.76; 95%CI:1.02–2.91), newborn temperature (OR:1.66; 95%CI:1.28–2.13) and newborn heart rate at (OR:1.94; 95%CI:1.19–3.09) were risk factors among newborns. Readmission and death following delivery and discharge from healthcare facilities is still a problem in settings with low rates of postnatal care visits for both women and newborns. Strategies to identify vulnerable dyads and provide better access to follow-up care, are urgently required. <br /> <br /><strong>Data Collection Methods:</strong> This prospective cohort study aimed to enroll women presenting in labor at >28 weeks’ gestation who delivered liveborn infants and were routinely discharged together home with their infants. Following delivery, we obtained written consent to complete a structured questionnaire in-person and a follow-up questionnaire over the phone six weeks later. Specifically, following enrolment, research nurses prospectively collected study variables previously identified through two systematic reviews on risk factors for re-admission and mortality among postpartum women and infants, as well as through discussion with colleagues and other experts. Given the interactive health relationship between postpartum women and infants, variables were collected and categorized according to relevant time points across the continuum of care. A total of 86 variables were collected and broadly categorized into five domains: (1) social and demographic, (2) pregnancy history and antenatal care, (3) delivery, (4) maternal discharge, and (5) neonatal discharge (Table 4A-E). Apart from discharge measurements, we prioritized gathering data from the hospital medical record, followed by interviews with the postpartum women and finally confirmation with the medical team if there were discrepancies, missing information, or questions the postpartum woman was unable to answer. With respect to discharge measurements, we obtained and recorded clinical data for both mother and their newborns on every dyad discharged together from the hospital. Blood pressure was measured using a Welch Allyn Vital Signs Monitor 300 Series (Welch Allyn, New York, USA). Oxygen saturation (SpO2) and heart rate was measured using the Masimo iSpO2® (Masimo Corporation, California, USA) and respiratory rates were measured using the RRate Application. Maternal hematocrit was quantified using a microhematocrit centrifuge. Random blood glucose was measured on mother and newborn using the FreeStyle Optimum Xceed (Abbott Healthcare, Massachusetts, USA). Anthropometric data of infants (length, weight, mid-upper arm circumference (MUAC), head circumference) were also measured and recorded. All dyads received routine care during admission and were discharged at the discretion of their medical teams. Six weeks following discharge, women who were discharged with their newborns were contacted by phone to determine the status of the mother and newborn and timing and frequency of postnatal care visits. For children who died, the cause of death was collected, as reported by the caregiver (mother or other family member). In addition to vital status, details surrounding the timing, frequency and length of stay pertaining to readmissions and health seeking were also recorded. Data were collected and managed using Research Electronic Data Capture (REDCap) tools hosted at the BC Children’s Hospital Research Institute in Vancouver, Canada.<br /> <br /><strong>Data Processing Methods:</strong>The initial cleaned data file was created using R version 4.2.1 (R Foundation for Statistical Computing, Vienna, Austria). Further processing to obtain the final dataset used for analysis including creating new columns, removing redundant columns, and removing duplicate data were also performed in R in the R scripts titled “MBEPI2024_DataManipulations_Code_SD.R” and “MBEPI2024_CombinedDatasetforOR_Code_SD.R” . All analyses were conducted using R version 4.2.1 (R Foundation for Statistical Computing, Vienna, Austria)<br/> <br /><strong>Ethics Declaration:</strong> Institutional review boards at the University of British Columbia (H18-02523), the Mbarara University of Science and Technology (14/09-18), and the Uganda National Council for Science and Technology (SS 4853) approved the study.<br />

Wiens, Matthew O; Nguyen, Vuong; Bone, Jeffrey N; Kumbakumba, Elias; Businge, Stephen; Tagoola, Abner; Sherine, Sheila Oyella; Byaruhanga, Emmanuel; Ssemwanga, Edward; Barigye, Celestine; Nsungwa, Jesca; Olaro,Charles; Ansermino, J Mark; Kissoon, Niranjan; Singer, Joel; Larson, Charles P; Lavoie, Pascal M; Dunsmuir, Dustin; Moschovis, Peter P; Novakowski, Stefanie; Komugisha, Clare; Tayebwa, Mellon; Mwesigwa, Douglas; Knappett, Martina; West, Nicholas; Kenya-Mugisha, Nathan; Kabakyenga, Jerome — 2024-07-16 <br/><strong>Background:</strong> In many low-income countries, over five percent of hospitalized children die following hospital discharge. The lack of available tools to identify those at risk of post-discharge mortality has limited the ability to make progress towards improving outcomes. We aimed to develop algorithms designed to predict post-discharge mortality among children admitted with suspected sepsis.<br /> <br /><strong>Methods:</strong> Four prospective cohort studies of children in two age groups (0–6 and 6–60 months) were conducted between 2012–2021 in six Ugandan hospitals. Prediction models were derived for six-months post-discharge mortality, based on candidate predictors collected at admission, each with a maximum of eight variables, and internally validated using 10-fold cross-validation.<br /> <br /><strong>Findings:</strong> 8,810 children were enrolled: 470 (5.3%) died in hospital; 257 (7.7%) and 233 (4.8%) post-discharge deaths occurred in the 0-6-month and 6-60-month age groups, respectively. The primary models had an area under the receiver operating characteristic curve (AUROC) of 0.77 (95%CI 0.74–0.80) for 0-6-month-olds and 0.75 (95%CI 0.72–0.79) for 6-60-month-olds; mean AUROCs among the 10 cross-validation folds were 0.75 and 0.73, respectively. Calibration across risk strata was good: Brier scores were 0.07 and 0.04, respectively. The most important variables included anthropometry and oxygen saturation. Additional variables included: illness duration, jaundice-age interaction, and a bulging fontanelle among 0-6-month-olds; and prior admissions, coma score, temperature, age-respiratory rate interaction, and HIV status among 6-60-month-olds.<br /> <br /><strong>Data Processing Methods:</strong> The post-processed data files were created using R version 4.2.2. (R Foundation for Statistical Computing, Vienna, Austria) and briefly involved renaming columns from the different datasets so that they are consistent, converting categories coded as “unknown”, “don’t know”, or “missing” to NA, creating new columns, calculating z-scored variables, and converting relevant columns to factors or dates. <br /> <br /><strong>Ethics Declaration:</strong> These studies were approved by the Mbarara University of Science and Technology (No. 15/10-16), the Uganda National Council for Science and Technology (HS 2207), and the University of British Columbia (H16-02679).<br />

Wiens, Matthew O; Toliva,Opar Bernard; Nsungwa-Sabiiti, Jesca; Mwaka, Savio; Komugisha, Clare; Nyalwal, Beatrice Lydiah Adhiambo; Bone, Jeffrey; Nguyen, Vuong; Kenya-Mugisha, Nathan — 2024-07-22 <br /><strong>Background:</strong> In many African countries, pediatric post-discharge mortality following in-hospital treatment for severe infectious illness is higher than in-hospital mortality (5-8%). Risk algorithms can be used to help health workers identify those most vulnerable to poor post-discharge outcomes. They can also assist health workers in providing personalized discharge counselling and recommending effective follow-up care. This can improve overall system efficiency. While this approach has shown promise among general pediatric populations, no research has addressed issues of post-discharge morbidity and mortality within the refugee context, where unique vulnerabilities exist. This study aims to validate the Smart Discharges approach to improve outcomes among children in refugee settings, and ultimately to build a generalizable and inclusive solution to improving pediatric post-discharge outcomes.<br /> <br /><strong>Methods:</strong> This study is a prospective observational cohort study that will be conducted at 3 health facilities in Lamwo District, northern Uganda between April 2023 and September 2024. We will enroll 1,500 children under 13 years of age between the three study sites of Padibe HCIV, Paluda HCIII, and Palabek Kal HCIII. The primary objective is to validate, calibrate, and refine the Smart Discharges risk-prediction algorithm in a representative cohort of refugee children. Secondary objectives include: i) to describe the epidemiology of, and risk factors for, post-discharge mortality of children in the context of refugee settings; ii) to describe the post-discharge health seeking patterns of children in the context of refugee settings; and iii) to evaluate the pediatric discharge process at 3 health facilities providing discharge care to children living in refugee settings. Following enrollment a research nurse will obtain and record clinical and demographic variables required for model validation including vital signs, oxygen saturation, anthropometric data, prior care seeking, co-morbidities and diagnoses. A rapid diagnostic test using blood, which will require a finger prick to collect < 0.5ml of blood, will be conducted to assess the patient's HIV status, malaria parasitemia, and hemoglobin (hemocue). All enrolled children will receive phone follow-up from study staff at 2-, 4- and 6 months following hospital discharge for research purposes. Verbal autopsies, often used in this context to determine cause of death, will be conducted for all children who die following discharge. All study sites will also undergo the discharge module of a 5-survey Facility Scan developed by the Pediatric Sepsis Data CoLaboratory’s (Sepsis CoLab) to support health facilities in identifying and assessing quality improvement priorities and initiatives.This will be done at both baseline (conclusion of clinical study activities) and 4 months following the completion of study activities to measure the facility readiness to implement improved discharge care, and its persistence over time.<br /> <br /><strong>Ethics Declaration:</strong> Ethical approval has been obtained from the University of British Columbia Children’s & Women’s Research Ethics Board in Canada (H23-00012) and the Makerere School of Public Health Research Ethics Board in Uganda (SPH-2023-369). <br /> <br /><strong>NOTE for restricted files:</strong> If you are not yet a CoLab member, please complete our <a href = "https://rc.bcchr.ca/redcap/surveys/?s=EDCYL7AC79">membership application survey</a> to gain access to restricted files within 2 business days. <br />Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator at <a href = mailto:sepsiscolab@bccchr.ca>sepsiscolab@bcchr.ca</a> or visit our <a href = "https://wfpiccs.org/pediatric-sepsis-colab/">website</a>.

Wiens, Matthew O; Kabakyenga, Jerome; Kumbakumba, Elias; Businge, Stephen; Kenya-Mugisha, Nathan; Larson, Charles P; Moschovis, Peter P; Singer, Joel; Lavoie, Pascal; Dumont, Guy AM; Ansermino, J Mark; Kissoon, Niranjan — 2024-10-22 This data is a subset of the Smart Discharges Uganda Under 5 years parent study and is specific to the Phase I observational cohort of children aged 0-6 months containing <strong>pulse oximetry</strong> data. <br /> <br /><strong>Background:</strong> Substantial mortality occurs after hospital discharge in children under 5 years old with suspected sepsis. This study aimed to refine and externally validate a previously developed post-discharge mortality prediction model.<br /> <br /><strong>Methods:</strong> In this prospective observational cohort study, we recruited 0-6-month-old children admitted with suspected sepsis from the community to the paediatric wards of six Ugandan hospitals. The primary outcome was six-month post-discharge mortality among those discharged alive. <br /> <br /><strong>Data Collection Methods:</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). At admission, trained study nurses systematically collected data on clinical, social and demographic variables. Following discharge, field officers contacted caregivers at 2 and 4 months by phone, and in-person at 6 months, to determine vital status, post-discharge health-seeking, and readmission details. Verbal autopsies were conducted for children who had died following discharge.<br /> <br /><strong>Ethics Declaration:</strong> This study was approved by the Mbarara University of Science and Technology Research Ethics Committee (No. 15/10-16), the Uganda National Institute of Science and Technology (HS 2207), and the University of British Columbia / Children & Women’s Health Centre of British Columbia Research Ethics Board (H16-02679). This manuscript adheres to the guidelines for STrengthening the Reporting of OBservational studies in Epidemiology (STROBE). <br /><strong>NOTE for restricted files:</strong> If you are not yet a CoLab member, please complete our <a href = "https://rc.bcchr.ca/redcap/surveys/?s=EDCYL7AC79">membership application survey</a> to gain access to restricted files within 2 business days. <br />Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator on <a href = "https://www.bcchr.ca/pediatric-sepsis-data-colab">this page</a> under "collaborate with the pediatric sepsis colab."

Wiens, Matthew O; Kabakyenga, Jerome; Kumbakumba, Elias; Kenya-Mugisha, Nathan; Larson, Charles P; Moschovis, Peter P; Singer, Joel; Lavoie, Pascal; Dumont, Guy AM; Ansermino, J Mark; Kissoon, Niranjan — 2024-10-22 This data is a subset of the Smart Discharges Uganda Under 5 years parent study and is specific to the Phase II interventional cohort of children aged 0-6 months containing <strong>pulse oximetry</strong> data. <br /> <br /><strong>Background:</strong> Substantial mortality occurs after hospital discharge in children under 5 years old with suspected sepsis. This study aimed to refine and externally validate a previously developed post-discharge mortality prediction model.<br /> <br /><strong>Methods:</strong> In this prospective observational cohort study, we recruited 0-6-month-old children admitted with suspected sepsis from the community to the paediatric wards of six Ugandan hospitals. The primary outcome was six-month post-discharge mortality among those discharged alive. <br /> <br /><strong>Data Collection Methods:</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). At admission, trained study nurses systematically collected data on clinical, social and demographic variables. Following discharge, field officers contacted caregivers at 2 and 4 months by phone, and in-person at 6 months, to determine vital status, post-discharge health-seeking, and readmission details. Verbal autopsies were conducted for children who had died following discharge.<br /> <br /><strong>Ethics Declaration:</strong> This study was approved by the Mbarara University of Science and Technology Research Ethics Committee (No. 15/10-16), the Uganda National Institute of Science and Technology (HS 2207), and the University of British Columbia / Children & Women’s Health Centre of British Columbia Research Ethics Board (H16-02679). This manuscript adheres to the guidelines for STrengthening the Reporting of OBservational studies in Epidemiology (STROBE). <br /><strong>NOTE for restricted files:</strong> If you are not yet a CoLab member, please complete our <a href = "https://rc.bcchr.ca/redcap/surveys/?s=EDCYL7AC79">membership application survey</a> to gain access to restricted files within 2 business days. <br />Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator at <a href = mailto:sepsiscolab@bccchr.ca>sepsiscolab@bcchr.ca</a> or visit our <a href = "https://wfpiccs.org/pediatric-sepsis-colab/">website</a>.