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Improving documentation of clinical care within a clinical information network: an essential initial step in efforts to understand and improve care in Kenyan hospitals

In many low income countries health information systems are poorly equipped to provide detailed information on hospital care and outcomes. Information is thus rarely used to support practice improvement. We describe efforts to tackle this challenge and to foster learning concerning collection and us...

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Autores principales: Tuti, Timothy, Bitok, Michael, Malla, Lucas, Paton, Chris, Muinga, Naomi, Gathara, David, Gachau, Susan, Mbevi, George, Nyachiro, Wycliffe, Ogero, Morris, Julius, Thomas, Irimu, Grace, English, Mike
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934599/
https://www.ncbi.nlm.nih.gov/pubmed/27398232
http://dx.doi.org/10.1136/bmjgh-2016-000028
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author Tuti, Timothy
Bitok, Michael
Malla, Lucas
Paton, Chris
Muinga, Naomi
Gathara, David
Gachau, Susan
Mbevi, George
Nyachiro, Wycliffe
Ogero, Morris
Julius, Thomas
Irimu, Grace
English, Mike
author_facet Tuti, Timothy
Bitok, Michael
Malla, Lucas
Paton, Chris
Muinga, Naomi
Gathara, David
Gachau, Susan
Mbevi, George
Nyachiro, Wycliffe
Ogero, Morris
Julius, Thomas
Irimu, Grace
English, Mike
author_sort Tuti, Timothy
collection PubMed
description In many low income countries health information systems are poorly equipped to provide detailed information on hospital care and outcomes. Information is thus rarely used to support practice improvement. We describe efforts to tackle this challenge and to foster learning concerning collection and use of information. This could improve hospital services in Kenya. We are developing a Clinical Information Network, a collaboration spanning 14 hospitals, policy makers and researchers with the goal of improving information available on the quality of inpatient paediatric care across common childhood illnesses in Kenya. Standardised data from hospitals' paediatric wards are collected using non-commercial and open source tools. We have implemented procedures for promoting data quality which are performed prior to a process of semi-automated analysis and routine report generation for hospitals in the network. In the first phase of the Clinical Information Network, we collected data on over 65 000 admission episodes. Despite clinicians' initial unfamiliarity with routine performance reporting, we found that, as an initial focus, both engaging with each hospital and providing them information helped improve the quality of data and therefore reports. The process has involved mutual learning and building of trust in the data and should provide the basis for collaborative efforts to improve care, to understand patient outcome, and to evaluate interventions through shared learning. We have found that hospitals are willing to support the development of a clinically focused but geographically dispersed Clinical Information Network in a low-income setting. Such networks show considerable promise as platforms for collaborative efforts to improve care, to provide better information for decision making, and to enable locally relevant research.
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spelling pubmed-49345992016-07-06 Improving documentation of clinical care within a clinical information network: an essential initial step in efforts to understand and improve care in Kenyan hospitals Tuti, Timothy Bitok, Michael Malla, Lucas Paton, Chris Muinga, Naomi Gathara, David Gachau, Susan Mbevi, George Nyachiro, Wycliffe Ogero, Morris Julius, Thomas Irimu, Grace English, Mike BMJ Glob Health Analysis In many low income countries health information systems are poorly equipped to provide detailed information on hospital care and outcomes. Information is thus rarely used to support practice improvement. We describe efforts to tackle this challenge and to foster learning concerning collection and use of information. This could improve hospital services in Kenya. We are developing a Clinical Information Network, a collaboration spanning 14 hospitals, policy makers and researchers with the goal of improving information available on the quality of inpatient paediatric care across common childhood illnesses in Kenya. Standardised data from hospitals' paediatric wards are collected using non-commercial and open source tools. We have implemented procedures for promoting data quality which are performed prior to a process of semi-automated analysis and routine report generation for hospitals in the network. In the first phase of the Clinical Information Network, we collected data on over 65 000 admission episodes. Despite clinicians' initial unfamiliarity with routine performance reporting, we found that, as an initial focus, both engaging with each hospital and providing them information helped improve the quality of data and therefore reports. The process has involved mutual learning and building of trust in the data and should provide the basis for collaborative efforts to improve care, to understand patient outcome, and to evaluate interventions through shared learning. We have found that hospitals are willing to support the development of a clinically focused but geographically dispersed Clinical Information Network in a low-income setting. Such networks show considerable promise as platforms for collaborative efforts to improve care, to provide better information for decision making, and to enable locally relevant research. BMJ Publishing Group 2016-05-24 /pmc/articles/PMC4934599/ /pubmed/27398232 http://dx.doi.org/10.1136/bmjgh-2016-000028 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/
spellingShingle Analysis
Tuti, Timothy
Bitok, Michael
Malla, Lucas
Paton, Chris
Muinga, Naomi
Gathara, David
Gachau, Susan
Mbevi, George
Nyachiro, Wycliffe
Ogero, Morris
Julius, Thomas
Irimu, Grace
English, Mike
Improving documentation of clinical care within a clinical information network: an essential initial step in efforts to understand and improve care in Kenyan hospitals
title Improving documentation of clinical care within a clinical information network: an essential initial step in efforts to understand and improve care in Kenyan hospitals
title_full Improving documentation of clinical care within a clinical information network: an essential initial step in efforts to understand and improve care in Kenyan hospitals
title_fullStr Improving documentation of clinical care within a clinical information network: an essential initial step in efforts to understand and improve care in Kenyan hospitals
title_full_unstemmed Improving documentation of clinical care within a clinical information network: an essential initial step in efforts to understand and improve care in Kenyan hospitals
title_short Improving documentation of clinical care within a clinical information network: an essential initial step in efforts to understand and improve care in Kenyan hospitals
title_sort improving documentation of clinical care within a clinical information network: an essential initial step in efforts to understand and improve care in kenyan hospitals
topic Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934599/
https://www.ncbi.nlm.nih.gov/pubmed/27398232
http://dx.doi.org/10.1136/bmjgh-2016-000028
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