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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51 to 60 of 127 Results
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...
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...
Tabular Data - 3.3 MB - 84 Variables, 7720 Observations - UNF:6:VrzqLFHHHr4Ht7QXII7ODQ==
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Plain Text - 3.8 KB - MD5: 571c27216780a1e1612f115e8da9d8a5
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