Evidence map›Paper›PMID 26392927›Full record

ArticlePublic health action2011

Is transcription of data on antiretroviral treatment from electronic to paper-based registers reliable in Malawi?

O J Gadabu, C V Munthali, R Zachariah, S Gudmund-Hinderaker, A Jahn, H Twea, A Gondwe, S Mumba, M Lungu, K Malisita and 8 more

Abstract read
In one paragraph

Article in Public health action, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

18 authors.

O J GadabuBaobab Health Trust, Lilongwe, Malawi.
C V MunthaliBaobab Health Trust, Lilongwe, Malawi.
R ZachariahMédecins Sans Frontières, Brussels, Belgium.
S Gudmund-HinderakerMédecins Sans Frontières, Brussels, Belgium ; Center for International Health, University of Bergen, Bergen, Norway.
A JahnDepartment of HIV/AIDS, Ministry of Health, Lilongwe, Malawi.
H TweaInternational Union Against Tuberculosis and Lung Disease, Paris, France ; The Lighthouse Trust, Lilongwe, Malawi.
A GondweBaobab Health Trust, Lilongwe, Malawi.
S MumbaBaobab Health Trust, Lilongwe, Malawi.
M LunguQueen Elizabeth Central Hospital, Lilongwe, Malawi.
K MalisitaQueen Elizabeth Central Hospital, Lilongwe, Malawi.
E MhangoDepartment of HIV/AIDS, Ministry of Health, Lilongwe, Malawi.
S D MakombeDepartment of HIV/AIDS, Ministry of Health, Lilongwe, Malawi.
L TenthaniDepartment of HIV/AIDS, Ministry of Health, Lilongwe, Malawi.
L MwalwandaCentres for Disease Control and Prevention, Lilongwe, Malawi.
C MoyoCentre for Monitoring Evaluation Division, Ministry of Health, Lilongwe, Malawi.
G P DouglasCenter for Health Informatics for the Underserved, Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Z L LewisCenter for Health Informatics for the Underserved, Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
F ChimbwandiraDepartment of HIV/AIDS, Ministry of Health, Lilongwe, Malawi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

settingAntiretroviral treatment (ART) clinics at one central hospital, three district hospitals and one mission hospital in the central and southern regions of Malawi.

objectiveTo measure the extent of inaccuracies in the transcription of case registration and recorded deaths between electronic medical data (EMR) and paper registers. This was done to inform the Ministry of Health on the reliability of the paper-based system as backup in case of EMR failure.

designRetrospective analysis of routine programme data.

resultsA total of 31 763 registrations and 2922 deaths in the EMR were compared with those in the paper registers. In one hospital, up to 24% of overall case registrations were missing from the paper registers. At other sites, the differences were minor and included duplicate patients who should have been classified as 'transfer in' patients in the paper register. There were major differences in the number of registered deaths in two of the five facilities.

conclusionThere are varying degrees of agreement between the EMR and paper registers which compromise the use of the latter as a backup solution in case of EMR failure. The reasons for this unreliability and ways forward to address the problem are discussed.

Indexed as

electronic medical recordMalawipaper registertranscription

Identifiers

PMID26392927
PMCPMC4547186

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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.