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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application/vnd.ms-publisher - 241.0 KB - MD5: 4c0acc0ad8d48a6c461014bd462e4013
A Hierarchical Task Analysis of Nasogastric Tube Feeding
MS Excel Spreadsheet - 50.3 KB - MD5: 66c36011eadefcc5c78d03f14f3b0821
Shows sharing, supervision and frequency with which tasks are reported to be missed
Tabular Data - 6.9 KB - 9 Variables, 36 Observations - UNF:6:7yLturtrdPdUGZrfDaVqDw==
Shows the Systematic Human Error Reduction and Prediction Approach for the selected NG tube feeding tasks.
Jul 10, 2018
Oliwa, Jacquie Narotso, 2018, "Replication Data for: Variability in distribution and use of tuberculosis diagnostic tests in Kenya: a cross-sectional survey", https://doi.org/10.7910/DVN/TWHBY8, Harvard Dataverse, V2
Data set describing the population of TB cases reported to the national TB programme noting patterns and determinants of use of TB diagnostic tests. It is a cleaned stata dataset prepared from the national TB programme treatment register for 2015.
Adobe PDF - 86.9 KB - MD5: 9840633f8cd915fc907fdf9ac20c461c
Documentation
Variable Codebook / Data Dictionary
Stata Syntax - 9.7 KB - MD5: 0d5f8f1a696c142953c66fc4be8d7119
Code
Analysis Code (STATA v15)
Stata Binary - 11.3 MB - MD5: 2e4ec7da000d31463930122a0b600968
Data
Analysis Dataset (STATA v15)
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