Evidence map›Paper›PMID 29669709›Full record

ArticleJMIR medical informatics2018

Implementing an Open Source Electronic Health Record System in Kenyan Health Care Facilities: Case Study.

Naomi Muinga, Steve Magare, Jonathan Monda, Onesmus Kamau, Stuart Houston, Hamish Fraser, John Powell, Mike English, Chris Paton

Abstract read
In one paragraph

Article in JMIR medical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–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

26 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Naomi Muinga *KEMRI/Wellcome Trust Research Programme, Nairobi, Kenya.ORCID http://orcid.org/0000-0002-0749-0255
Steve MagareKEMRI/Wellcome Trust Research Programme, Nairobi, Kenya.ORCID http://orcid.org/0000-0003-2876-4208
Jonathan MondaKEMRI/Wellcome Trust Research Programme, Nairobi, Kenya.ORCID http://orcid.org/0000-0002-0086-9000
Onesmus Kamaue-Health and Systems Development Unit, Ministry of Health, Nairobi, Kenya.ORCID http://orcid.org/0000-0003-2940-6306
Stuart HoustonVimak Company Limited, Nairobi, Kenya.ORCID http://orcid.org/0000-0002-3175-082X
Hamish FraserBrown Center for Biomedical Informatics, Brown University, Providence, RI, United States.ORCID http://orcid.org/0000-0003-4383-2854
John PowellNuffield Department of of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0002-1456-4857
Mike EnglishKEMRI/Wellcome Trust Research Programme, Nairobi, Kenya.ORCID http://orcid.org/0000-0002-7427-0826
Chris PatonCentre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0001-6952-9621

Funding

Tracking and Evaluation CoreU54GM115677 · NIGMS · BROWN UNIVERSITY · PI ROUNDS, SHARON IRENE SMITH · 2016 to 2025
$45.0M
Department of Health PDA/02/06/096Medical Research Council MR/N005600/1NIGMS NIH HHS U54 GM115677Wellcome Trust
6 · The paper itself

Abstract

backgroundThe Kenyan government, working with international partners and local organizations, has developed an eHealth strategy, specified standards, and guidelines for electronic health record adoption in public hospitals and implemented two major health information technology projects: District Health Information Software Version 2, for collating national health care indicators and a rollout of the KenyaEMR and International Quality Care Health Management Information Systems, for managing 600 HIV clinics across the country. Following these projects, a modified version of the Open Medical Record System electronic health record was specified and developed to fulfill the clinical and administrative requirements of health care facilities operated by devolved counties in Kenya and to automate the process of collating health care indicators and entering them into the District Health Information Software Version 2 system.

objectiveWe aimed to present a descriptive case study of the implementation of an open source electronic health record system in public health care facilities in Kenya.

methodsWe conducted a landscape review of existing literature concerning eHealth policies and electronic health record development in Kenya. Following initial discussions with the Ministry of Health, the World Health Organization, and implementing partners, we conducted a series of visits to implementing sites to conduct semistructured individual interviews and group discussions with stakeholders to produce a historical case study of the implementation.

resultsThis case study describes how consultants based in Kenya, working with developers in India and project stakeholders, implemented the new system into several public hospitals in a county in rural Kenya. The implementation process included upgrading the hospital information technology infrastructure, training users, and attempting to garner administrative and clinical buy-in for adoption of the system. The initial deployment was ultimately scaled back due to a complex mix of sociotechnical and administrative issues. Learning from these early challenges, the system is now being redesigned and prepared for deployment in 6 new counties across Kenya.

conclusionsImplementing electronic health record systems is a challenging process in high-income settings. In low-income settings, such as Kenya, open source software may offer some respite from the high costs of software licensing, but the familiar challenges of clinical and administration buy-in, the need to adequately train users, and the need for the provision of ongoing technical support are common across the North-South divide. Strategies such as creating local support teams, using local development resources, ensuring end user buy-in, and rolling out in smaller facilities before larger hospitals are being incorporated into the project. These are positive developments to help maintain momentum as the project continues. Further integration with existing open source communities could help ongoing development and implementations of the project. We hope this case study will provide some lessons and guidance for other challenging implementations of electronic health record systems as they continue across Africa.

Indexed as

electronic health recordsKenyamedical recordsopen sourcesoftware

Identifiers

PMID29669709
PMCPMC5932328

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.