Evidence map›Paper›PMID 31745456›Full record

ArticleAfrican journal of laboratory medicine2019

Design and implementation of a clinical laboratory information system in a low-resource setting.

Timothy M Mtonga, Faheema E Choonara, Jeremy U Espino, Chimwemwe Kachaje, Kenneth Kapundi, Takondwa E Mengezi, Soyapi L Mumba, Gerald P Douglas

Abstract read
In one paragraph

Article in African journal of laboratory medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

8 authors.

Timothy M MtongaDepartment of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.ORCID https://orcid.org/0000-0002-2526-4243
Faheema E ChoonaraKamuzu Central Hospital, Lilongwe, Malawi.ORCID https://orcid.org/0000-0002-6814-1278
Jeremy U EspinoDepartment of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.ORCID https://orcid.org/0000-0001-8104-2656
Chimwemwe KachajeBaobab Health Trust, Lilongwe, Malawi.ORCID https://orcid.org/0000-0002-2740-8167
Kenneth KapundiBaobab Health Trust, Lilongwe, Malawi.ORCID https://orcid.org/0000-0002-2157-7162
Takondwa E MengeziBaobab Health Trust, Lilongwe, Malawi.ORCID https://orcid.org/0000-0001-6449-866X
Soyapi L MumbaBaobab Health Trust, Lilongwe, Malawi.ORCID https://orcid.org/0000-0003-1115-1034
Gerald P DouglasDepartment of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.ORCID https://orcid.org/0000-0003-3333-7251

Funding

CGH CDC HHS U2G GH000729
6 · The paper itself

Abstract

backgroundReducing laboratory errors presents a significant opportunity for both cost reduction and healthcare quality improvement. This is particularly true in low-resource settings where laboratory errors are further exacerbated by poor infrastructure and shortages in a trained workforce. Informatics interventions can be used to address some of the sources of laboratory errors.

objectivesThis article describes the development process for a clinical laboratory information system (LIS) that leverages informatics interventions to address problems in the laboratory testing process at a hospital in a low-resource setting.

methodsWe designed interventions using informatics methods for previously identified problems in the laboratory testing process at a clinical laboratory in a low-resource setting. First, we reviewed a pre-existing LIS functionality assessment toolkit and consulted with laboratory personnel. This provided requirements that were developed into a LIS with interventions designed to address the problems that had been identified. We piloted the LIS at the Kamuzu Central Hospital in Lilongwe, Malawi.

resultsWe implemented a series of informatics interventions in the form of a LIS to address sources of laboratory errors and support the entire laboratory testing process. Custom hardware was built to support the ordering of laboratory tests and review of laboratory test results.

conclusionOur experience highlights the potential of using informatics interventions to address systemic problems in the laboratory testing process in low-resource settings. Implementing these interventions may require innovation of new hardware to address various contextual issues. We strongly encourage thorough testing of such innovations to reduce the risk of failure when implemented.

Indexed as

informatics interventionslaboratory information systemlaboratory testinglow-resource settingMalawi

Identifiers

PMID31745456
PMCPMC6852617

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LicenceCC BY
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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.