Evidence map›Paper›PMID 27398232›Full record

ArticleBMJ global health2016

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

Timothy Tuti, Michael Bitok, Lucas Malla, Chris Paton, Naomi Muinga, David Gathara, Susan Gachau, George Mbevi, Wycliffe Nyachiro, Morris Ogero and 3 more

Erratum issuedAbstract read
In one paragraph

Article in BMJ global health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 63 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

63 citing papers in PubMed, 1 synthesis or guideline pooled it.

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3 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Timothy TutiHealth Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Michael BitokHealth Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Lucas MallaNuffield Department of Medicine, University of Oxford, Oxford, UK.
Chris PatonNuffield Department of Medicine, University of Oxford, Oxford, UK.
Naomi MuingaHealth Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
David GatharaHealth Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Susan GachauHealth Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
George MbeviHealth Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Wycliffe NyachiroHealth Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Morris OgeroHealth Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Thomas JuliusHealth Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya.
Grace IrimuCollege of Health Sciences, University of Nairobi, Nairobi, Kenya.
Mike EnglishHealth Services Unit, KEMRI-Wellcome Trust Research Programme, Nairobi, Kenya; Nuffield Department of Medicine, University of Oxford, Oxford, UK.

Funding

Wellcome Trust 097170
6 · The paper itself

Abstract

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.

Identifiers

PMID27398232
PMCPMC4934599

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.