Clinical Information Network (CIN) Group Dataverse

The CIN group conducts multidisciplinary research, both basic and applied, that examine the use, costs, quality, accessibility, delivery, organization, financing, and outcomes of health care services to increase knowledge and understanding of the structure, processes, and effects of health services for individuals and populations. The key focus at HSU is the understanding and acquisition of knowledge on how to improve quality and coverage of effective interventions to achieve desired health outcomes. Research at HSU includes pragmatic clinical trials, measuring effectiveness, clinical policy, measuring and understanding outcomes, implementation health research, quality improvement, Service delivery innovation, health governance, human resource for health, patient and family experiences, and health information systems. The group is affiliated to the KEMRI-Wellcome Trust Research Programme. Each dataset has a citation and DOI, facilitating attribution and connection to research publications. For more information on our research work, visit our page via Health Systems Research @ KEMRI-Wellcome Trust Research Programme

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11 to 20 of 105 Results

codebook.tab Nov 25, 2024 - Replication Data for: External validation of an admission risk score for predicting inpatient paediatric mortality in two Kenyan public hospitals Tabular Data - 4.5 KB - 10 Variables, 38 Observations - UNF:6:aKpth0JGkkDu4XBTh2laLQ== Documentation
Data_2017-2023.csv Nov 25, 2024 - Replication Data for: External validation of an admission risk score for predicting inpatient paediatric mortality in two Kenyan public hospitals Comma Separated Values - 3.8 MB - MD5: 53ee934e6c6ca115e1094bbdc88a2882 Data
01_data_manipulation.R Apr 4, 2024 - Replication Data for: Identifying and Quantifying Initial Post-Discharge Needs for Clinical Review of Sick, Newborns in Kenya based on a large multi-site, retrospective cohort study R Syntax - 22.8 KB - MD5: 96e4e0af72e08463e2aaf555636d6200 CodeR script
02_data_analysis.R Apr 4, 2024 - Replication Data for: Identifying and Quantifying Initial Post-Discharge Needs for Clinical Review of Sick, Newborns in Kenya based on a large multi-site, retrospective cohort study R Syntax - 28.9 KB - MD5: eee2d6ff303890992b70c4162bd91817 CodeR script
CIN_Neonatal_Data Dictionary.pdf Apr 4, 2024 - Replication Data for: Identifying and Quantifying Initial Post-Discharge Needs for Clinical Review of Sick, Newborns in Kenya based on a large multi-site, retrospective cohort study Adobe PDF - 1.3 MB - MD5: 3236cdde29cc63ad4a7223f502df04ca DocumentationVariable Codebook/Data Dictionary
CIN_Neonatal_Dataset_Descriptor.pdf Apr 4, 2024 - Replication Data for: Identifying and Quantifying Initial Post-Discharge Needs for Clinical Review of Sick, Newborns in Kenya based on a large multi-site, retrospective cohort study Adobe PDF - 66.6 KB - MD5: 28bad92056f923c442c41fe797abde15 Data DescriptorDocumentation
Discharge Phenotypes and Post Discharge Specialist Needs Study - Data_Readme.txt Apr 4, 2024 - Replication Data for: Identifying and Quantifying Initial Post-Discharge Needs for Clinical Review of Sick, Newborns in Kenya based on a large multi-site, retrospective cohort study Plain Text - 4.0 KB - MD5: ce2a9c09c77f1485bcca030077947e0d DocumentationReadme
phenotypes_data_anon.csv Apr 4, 2024 - Replication Data for: Identifying and Quantifying Initial Post-Discharge Needs for Clinical Review of Sick, Newborns in Kenya based on a large multi-site, retrospective cohort study Comma Separated Values - 144.6 MB - MD5: 633a239676c883122bbe6e290d5b677b csvData
Final Sankey diagrams-Participants, Adm & mortality.R Nov 9, 2023 - Replication Data for: Comparison between the Smart Triage model and the Emergency Triage Assessment and Treatment (ETAT) guidelines in triaging children presenting to the emergency departments of two public hospitals in Kenya R Syntax - 21.5 KB - MD5: e6f7fe843050e757eda57a156d79c75b CodeR Script
PRST Baseline data1_anon.tab Nov 9, 2023 - Replication Data for: Comparison between the Smart Triage model and the Emergency Triage Assessment and Treatment (ETAT) guidelines in triaging children presenting to the emergency departments of two public hospitals in Kenya Tabular Data - 3.1 MB - 190 Variables, 5920 Observations - UNF:6:2rNL1JhpukkNE7EpDve6OA== csvData

codebook.tab

Nov 25, 2024 - Replication Data for: External validation of an admission risk score for predicting inpatient paediatric mortality in two Kenyan public hospitals

Tabular Data - 4.5 KB - 10 Variables, 38 Observations -

Documentation

Data_2017-2023.csv

Nov 25, 2024 - Replication Data for: External validation of an admission risk score for predicting inpatient paediatric mortality in two Kenyan public hospitals

Comma Separated Values - 3.8 MB -

Data

01_data_manipulation.R

Apr 4, 2024 - Replication Data for: Identifying and Quantifying Initial Post-Discharge Needs for Clinical Review of Sick, Newborns in Kenya based on a large multi-site, retrospective cohort study

R Syntax - 22.8 KB -

CodeR script