Evidence map›Paper›PMID 25281905›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2015

Better adherence to pre-antiretroviral therapy guidelines after implementing an electronic medical record system in rural Kenyan HIV clinics: a multicenter pre-post study.

Tom Oluoch, Daniel Kwaro, Victor Ssempijja, Abraham Katana, Patrick Langat, Nicky Okeyo, Ameen Abu-Hanna, Nicolette de Keizer

Abstract readComparative StudyMulticenter Study
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Tom OluochDivision of Global HIV/AIDS, US Centers for Disease Control and Prevention, PO Box 606, 00621, Village Market, Nairobi, Kenya. Electronic address: toluoch@cdc.gov.
Daniel KwaroKenya Medical Research Institute - CDC Collaborative Program, Kisumu, Kenya.
Victor SsempijjaDivision of Global HIV/AIDS, US Centers for Disease Control and Prevention, PO Box 606, 00621, Village Market, Nairobi, Kenya.
Abraham KatanaDivision of Global HIV/AIDS, US Centers for Disease Control and Prevention, PO Box 606, 00621, Village Market, Nairobi, Kenya.
Patrick LangatKenya Medical Research Institute - CDC Collaborative Program, Kisumu, Kenya.
Nicky OkeyoKenya Medical Research Institute - CDC Collaborative Program, Kisumu, Kenya.
Ameen Abu-HannaDepartment of Medical Informatics, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.
Nicolette de KeizerDepartment of Medical Informatics, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.

Funding

CGH CDC HHS GH000048-04CGH CDC HHS U01 GH000048Intramural CDC HHS CC999999PEPFAR
6 · The paper itself

Abstract

introductionThe monitoring of pre-antiretroviral therapy (pre-ART) is a key indicator of HIV quality of care. This study investigated the association of an electronic medical record system (EMR) with adherence to pre-ART guidelines in rural HIV clinics in Kenya.

methodsA retrospective study was carried out to assess the quality of pre-ART care using three indicators: (1) the performance of a baseline CD4 test, (2) time from enrollment in care to first CD4 test, and (3) time from baseline CD4 to second CD4 test. A comparison of these indicators was made pre and post the introduction of an EMR system in 17 rural HIV clinics.

resultsA total of 18523 patients were receiving pre-ART care, of whom 38.8% in the paper group had had at least one CD4 test compared to 53.4% in the EMR group (p<0.001). The adjusted odds of performing a CD4 test in clinics using an EMR was 1.59 (95% confidence interval 1.49-1.69). The median time from enrolment into HIV care to first CD4 test was 1.40 months (interquartile range (IQR) 0.47-4.87) for paper vs. 0.93 months (IQR 0.43-3.37) for EMR. The median time from baseline to first CD4 follow-up was 7.5 months (IQR 5.97-10.73) for paper and 6.53 months (IQR 5.57-7.87) for EMR.

conclusionThe use of the EMR system was associated with better compliance to HIV guidelines for pre-ART care. EMRs have a potential positive impact on quality of care for HIV patients in resource-constrained settings.

Indexed as

AdultAnti-Retroviral AgentsElectronic Health RecordsFemaleGuideline AdherenceHIV InfectionsHumansKenyaMalePatient ComplianceRetrospective StudiesYoung AdultAnti-Retroviral AgentsDeveloping countrieseHealthElectronic medical recordsGuideline adherenceHIVQuality of care

Identifiers

PMID25281905
PMCPMC4987124

What OpenQuestion holds

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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.