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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1 to 10 of 22 Results

Replication Data for: THE FIVE-MINUTE APGAR SCORE AND ADVERSE SHORT-TERM OUTCOMES IN NEONATES-A COHORT STUDY IN THE CLINICAL INFORMATION NETWORK HOSPITALS IN KENYA May 29, 2025 Pauline Karing’u; Jacquekine Chesang; Jalemba Aluvaala, 2024, "Replication Data for: THE FIVE-MINUTE APGAR SCORE AND ADVERSE SHORT-TERM OUTCOMES IN NEONATES-A COHORT STUDY IN THE CLINICAL INFORMATION NETWORK HOSPITALS IN KENYA", https://doi.org/10.7910/DVN/LMISM8, Harvard Dataverse, V3, UNF:6:LSH0KDEnOX8v3c9olqjGcw== [fileUNF] This data contains information on neonates admitted to the newborn units in the various facilities within the Clinical Information Network (CIN) in Kenya between 2018-2022. It contains data on their demographics, clinical history, interventions and management in the newborn unit and outcomes at the end of the neonatal period. The data was used to f...
PRISMA-SCR checklist for "The use of theory to institutionalise routine data-driven decision-making in Sub-Saharan Africa health facilities: A scoping review protocol" Apr 28, 2025 Tuti, Timothy, 2025, "PRISMA-SCR checklist for "The use of theory to institutionalise routine data-driven decision-making in Sub-Saharan Africa health facilities: A scoping review protocol"", https://doi.org/10.7910/DVN/ACE5AI, Harvard Dataverse, V1 The dataset contains PRISMA-SCR checklist for "The use of theory to institutionalize routine data-driven decision-making in Sub-Saharan Africa health facilities: A scoping review protocol".
Replication Data for: External validation of an admission risk score for predicting inpatient paediatric mortality in two Kenyan public hospitals Nov 25, 2024 Stephen Kamau; Joyce Kigo; Michuki Maina; John Gachohi, 2024, "Replication Data for: External validation of an admission risk score for predicting inpatient paediatric mortality in two Kenyan public hospitals", https://doi.org/10.7910/DVN/O0J6DD, Harvard Dataverse, V1, UNF:6:aKpth0JGkkDu4XBTh2laLQ== [fileUNF] The data was collected as part of the Clinical Information Network (CIN) project which collects routine admission data from participating hospitals. The data used for this analysis were collected between January 2017 and October 2023. These data were abstracted from patient files at discharge by trained Health Records and Information Officer into a...
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 Sep 17, 2024 Wainaina, John; Irimu, Grace; Aluvaala, Jalemba; English, Mike, 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", https://doi.org/10.7910/DVN/ZX7VQK, Harvard Dataverse, V2 This is a replication dataset for the manuscript titled: "Identifying and Quantifying Initial Post-Discharge Needs for Clinical Review of Sick, Newborns in Kenya based on a large multi-site, retrospective cohort study." We present a retrospective cohort study dataset of newborns discharged from 23 public hospital neonatal units (NBUs) in Kenya betw...
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 Nov 9, 2023 Kamau, Stephen; Kigo, Joyce; Mwaniki, Paul; Dunsmuir, Dustin; Pillay, Yashodani; Zhang, Cherri; Nyamwaya, Brian; Kimutai, David; Ouma, Mary; Mohammed, Ismael; Gachuhi, Keziah; Chege, Mary; Thuranira, Lydia; Ansermino, J. Mark; Akech, Samuel, 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", https://doi.org/10.7910/DVN/GGYNN2, Harvard Dataverse, V1, UNF:6:d0cEa9lrH4WYRKs4e2wezA== [fileUNF] This is a replication dataset for the publication titled: "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." The data was collected during phase 1 of the PRST study, which took place at Mbagathi...
Replication Data for: Hypothermia amongst neonatal admissions in Kenya: A Retrospective Cohort Study Assessing Prevalence, Trends, Risk Factors, and its Relationship with All-Cause Neonatal Mortality Oct 30, 2023 Wainaina, John; Ogero, Morris; Mumelo, Livingstone; Wairoto, Kefa; Mbevi, George; Tuti, Timothy; Mwaniki, Paul; Irimu, Grace; English, Mike; Aluvaala, Jalemba; The Clinical Information Network Author Group, 2023, "Replication Data for: Hypothermia amongst neonatal admissions in Kenya: A Retrospective Cohort Study Assessing Prevalence, Trends, Risk Factors, and its Relationship with All-Cause Neonatal Mortality", https://doi.org/10.7910/DVN/VDSUDE, Harvard Dataverse, V1, UNF:6:mjZsyi3XOts07bqrJ1m0Cw== [fileUNF] This is a replication dataset for the publication titled: "Hypothermia amongst neonatal admissions in Kenya: A Retrospective Cohort Study Assessing Prevalence, Trends, Risk Factors, and its Relationship with All-Cause Neonatal Mortality". Hypothermia among newborns has reported to increase risk of neonatal mortality. However, these reports have ori...
Replication Data for: Patterns and determinants of antibiotic prescription among children admitted to public hospitals in Kenya Aug 14, 2023 Otuko, Rachel; Maina, Michuki; Mwaniki, Paul; Mweu, Marshal; Akech, Samuel, 2023, "Replication Data for: Patterns and determinants of antibiotic prescription among children admitted to public hospitals in Kenya", https://doi.org/10.7910/DVN/MOZQXQ, Harvard Dataverse, V1, UNF:6:fKm1Tol4yvHaL1vkjS9cSQ== [fileUNF] The dataset contains information on paediatric patients admitted to CIN hospitals in Kenya between 2014 and 2020. The data includes demographics, patient history, diagnoses and treatment. It was used to describe the patterns and determinats of antibiotic use among admitted children. The data are collected from record forms in the hospital when the...
Replication Data for: Triage and management of sepsis in children using the point-of care Pediatric Rapid Sepsis Trigger (PRST) tool Jun 19, 2023 Kigo, Joyce; Kamau, Stephen; Akech, Samuel; Dunsmuir, Dustin; Pillay, Yashodani; Ansermino, J. Mark; Ouma, Mary; Kimutai, David; Mohamed, Ismael; Chege, Mary; Thuranira, Lydia, 2023, "Replication Data for: Triage and management of sepsis in children using the point-of care Pediatric Rapid Sepsis Trigger (PRST) tool", https://doi.org/10.7910/DVN/942AND, Harvard Dataverse, V2, UNF:6:mIxOcSZTdlhDtgX1iFrv6A== [fileUNF] This is a replication dataset for the manuscript titled "Triage and management of sepsis in children using the point-of care pediatric Rapid Sepsis Trigger(PRST) tool." The data was collected as part of PRST study phase 1 which was carried out in Mbagathi County Hospital (Hospital 1)and Kiambu teaching and Referral hospital(Hospital 2) between Febr...
Replication Data for: Evaluating the documentation of vital signs following implementation of a new comprehensive newborn monitoring chart in 19 hospitals in Kenya: A time series analysis Apr 27, 2023 Tuti, Timothy; Muinga, Naomi; Mwaniki, Paul, 2023, "Replication Data for: Evaluating the documentation of vital signs following implementation of a new comprehensive newborn monitoring chart in 19 hospitals in Kenya: A time series analysis", https://doi.org/10.7910/DVN/6WBRVC, Harvard Dataverse, V1, UNF:6:45OuEUGEAqqUZKRav2hTOg== [fileUNF] A comprehensive newborn monitoring chart was co-designed with stakeholders and implemented in newborn wards of 19 public hospitals in Kenya within the clinical information network. To understand its effect on documentation, we collected data over a 2-year period (September 2019 to October 2021) pre- and post-implementation. Data on frequency of doc...
Referral data for 2018-2019 in the neonatal arm of the Clinical Information Network (CIN-Neonatal) Feb 14, 2023 English, Mike; Irimu, Grace; Aluvaala, Jalemba; Wainaina, John; Mbaire, Emily; Emadau, Caren; Manyasi, Christine; Kimutai, David; Muturi, Celia; Waiyego, Mary, 2023, "Referral data for 2018-2019 in the neonatal arm of the Clinical Information Network (CIN-Neonatal)", https://doi.org/10.7910/DVN/KBMN8N, Harvard Dataverse, V2, UNF:6:VrzqLFHHHr4Ht7QXII7ODQ== [fileUNF] This dataset was extracted from the Clinical Information Network - Neonatal (CIN - Neonantal) database that was created in 2014. The CIN - Neonatal project captures routine data of newborn unit clinical care processes with an aim to audit documentation, improve documentation, inculcate the culture of use of data for policy and ward decisions and as...

Replication Data for: THE FIVE-MINUTE APGAR SCORE AND ADVERSE SHORT-TERM OUTCOMES IN NEONATES-A COHORT STUDY IN THE CLINICAL INFORMATION NETWORK HOSPITALS IN KENYA

May 29, 2025

Pauline Karing’u; Jacquekine Chesang; Jalemba Aluvaala, 2024, "Replication Data for: THE FIVE-MINUTE APGAR SCORE AND ADVERSE SHORT-TERM OUTCOMES IN NEONATES-A COHORT STUDY IN THE CLINICAL INFORMATION NETWORK HOSPITALS IN KENYA", https://doi.org/10.7910/DVN/LMISM8, Harvard Dataverse, V3, UNF:6:LSH0KDEnOX8v3c9olqjGcw== [fileUNF]

This data contains information on neonates admitted to the newborn units in the various facilities within the Clinical Information Network (CIN) in Kenya between 2018-2022. It contains data on their demographics, clinical history, interventions and management in the newborn unit and outcomes at the end of the neonatal period. The data was used to f...

PRISMA-SCR checklist for "The use of theory to institutionalise routine data-driven decision-making in Sub-Saharan Africa health facilities: A scoping review protocol"

Apr 28, 2025

Tuti, Timothy, 2025, "PRISMA-SCR checklist for "The use of theory to institutionalise routine data-driven decision-making in Sub-Saharan Africa health facilities: A scoping review protocol"", https://doi.org/10.7910/DVN/ACE5AI, Harvard Dataverse, V1

The dataset contains PRISMA-SCR checklist for "The use of theory to institutionalize routine data-driven decision-making in Sub-Saharan Africa health facilities: A scoping review protocol".

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

Nov 25, 2024

Stephen Kamau; Joyce Kigo; Michuki Maina; John Gachohi, 2024, "Replication Data for: External validation of an admission risk score for predicting inpatient paediatric mortality in two Kenyan public hospitals", https://doi.org/10.7910/DVN/O0J6DD, Harvard Dataverse, V1, UNF:6:aKpth0JGkkDu4XBTh2laLQ== [fileUNF]

The data was collected as part of the Clinical Information Network (CIN) project which collects routine admission data from participating hospitals. The data used for this analysis were collected between January 2017 and October 2023. These data were abstracted from patient files at discharge by trained Health Records and Information Officer into a...

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

Sep 17, 2024

Wainaina, John; Irimu, Grace; Aluvaala, Jalemba; English, Mike, 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", https://doi.org/10.7910/DVN/ZX7VQK, Harvard Dataverse, V2

This is a replication dataset for the manuscript titled: "Identifying and Quantifying Initial Post-Discharge Needs for Clinical Review of Sick, Newborns in Kenya based on a large multi-site, retrospective cohort study." We present a retrospective cohort study dataset of newborns discharged from 23 public hospital neonatal units (NBUs) in Kenya betw...

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

Nov 9, 2023

Kamau, Stephen; Kigo, Joyce; Mwaniki, Paul; Dunsmuir, Dustin; Pillay, Yashodani; Zhang, Cherri; Nyamwaya, Brian; Kimutai, David; Ouma, Mary; Mohammed, Ismael; Gachuhi, Keziah; Chege, Mary; Thuranira, Lydia; Ansermino, J. Mark; Akech, Samuel, 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", https://doi.org/10.7910/DVN/GGYNN2, Harvard Dataverse, V1, UNF:6:d0cEa9lrH4WYRKs4e2wezA== [fileUNF]

This is a replication dataset for the publication titled: "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." The data was collected during phase 1 of the PRST study, which took place at Mbagathi...

Replication Data for: Hypothermia amongst neonatal admissions in Kenya: A Retrospective Cohort Study Assessing Prevalence, Trends, Risk Factors, and its Relationship with All-Cause Neonatal Mortality

Oct 30, 2023

Wainaina, John; Ogero, Morris; Mumelo, Livingstone; Wairoto, Kefa; Mbevi, George; Tuti, Timothy; Mwaniki, Paul; Irimu, Grace; English, Mike; Aluvaala, Jalemba; The Clinical Information Network Author Group, 2023, "Replication Data for: Hypothermia amongst neonatal admissions in Kenya: A Retrospective Cohort Study Assessing Prevalence, Trends, Risk Factors, and its Relationship with All-Cause Neonatal Mortality", https://doi.org/10.7910/DVN/VDSUDE, Harvard Dataverse, V1, UNF:6:mjZsyi3XOts07bqrJ1m0Cw== [fileUNF]

This is a replication dataset for the publication titled: "Hypothermia amongst neonatal admissions in Kenya: A Retrospective Cohort Study Assessing Prevalence, Trends, Risk Factors, and its Relationship with All-Cause Neonatal Mortality". Hypothermia among newborns has reported to increase risk of neonatal mortality. However, these reports have ori...

Replication Data for: Patterns and determinants of antibiotic prescription among children admitted to public hospitals in Kenya

Aug 14, 2023

Otuko, Rachel; Maina, Michuki; Mwaniki, Paul; Mweu, Marshal; Akech, Samuel, 2023, "Replication Data for: Patterns and determinants of antibiotic prescription among children admitted to public hospitals in Kenya", https://doi.org/10.7910/DVN/MOZQXQ, Harvard Dataverse, V1, UNF:6:fKm1Tol4yvHaL1vkjS9cSQ== [fileUNF]

The dataset contains information on paediatric patients admitted to CIN hospitals in Kenya between 2014 and 2020. The data includes demographics, patient history, diagnoses and treatment. It was used to describe the patterns and determinats of antibiotic use among admitted children. The data are collected from record forms in the hospital when the...

Replication Data for: Triage and management of sepsis in children using the point-of care Pediatric Rapid Sepsis Trigger (PRST) tool

Jun 19, 2023

Kigo, Joyce; Kamau, Stephen; Akech, Samuel; Dunsmuir, Dustin; Pillay, Yashodani; Ansermino, J. Mark; Ouma, Mary; Kimutai, David; Mohamed, Ismael; Chege, Mary; Thuranira, Lydia, 2023, "Replication Data for: Triage and management of sepsis in children using the point-of care Pediatric Rapid Sepsis Trigger (PRST) tool", https://doi.org/10.7910/DVN/942AND, Harvard Dataverse, V2, UNF:6:mIxOcSZTdlhDtgX1iFrv6A== [fileUNF]

This is a replication dataset for the manuscript titled "Triage and management of sepsis in children using the point-of care pediatric Rapid Sepsis Trigger(PRST) tool." The data was collected as part of PRST study phase 1 which was carried out in Mbagathi County Hospital (Hospital 1)and Kiambu teaching and Referral hospital(Hospital 2) between Febr...

Replication Data for: Evaluating the documentation of vital signs following implementation of a new comprehensive newborn monitoring chart in 19 hospitals in Kenya: A time series analysis

Apr 27, 2023

Tuti, Timothy; Muinga, Naomi; Mwaniki, Paul, 2023, "Replication Data for: Evaluating the documentation of vital signs following implementation of a new comprehensive newborn monitoring chart in 19 hospitals in Kenya: A time series analysis", https://doi.org/10.7910/DVN/6WBRVC, Harvard Dataverse, V1, UNF:6:45OuEUGEAqqUZKRav2hTOg== [fileUNF]

A comprehensive newborn monitoring chart was co-designed with stakeholders and implemented in newborn wards of 19 public hospitals in Kenya within the clinical information network. To understand its effect on documentation, we collected data over a 2-year period (September 2019 to October 2021) pre- and post-implementation. Data on frequency of doc...

Referral data for 2018-2019 in the neonatal arm of the Clinical Information Network (CIN-Neonatal)

Feb 14, 2023

English, Mike; Irimu, Grace; Aluvaala, Jalemba; Wainaina, John; Mbaire, Emily; Emadau, Caren; Manyasi, Christine; Kimutai, David; Muturi, Celia; Waiyego, Mary, 2023, "Referral data for 2018-2019 in the neonatal arm of the Clinical Information Network (CIN-Neonatal)", https://doi.org/10.7910/DVN/KBMN8N, Harvard Dataverse, V2, UNF:6:VrzqLFHHHr4Ht7QXII7ODQ== [fileUNF]

This dataset was extracted from the Clinical Information Network - Neonatal (CIN - Neonantal) database that was created in 2014. The CIN - Neonatal project captures routine data of newborn unit clinical care processes with an aim to audit documentation, improve documentation, inculcate the culture of use of data for policy and ward decisions and as...

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