Evidence map›Paper›PMID 26847229›Full record

Trial reportThe lancet. HIV2016

Effect of a clinical decision support system on early action on immunological treatment failure in patients with HIV in Kenya: a cluster randomised controlled trial.

Tom Oluoch, Abraham Katana, Daniel Kwaro, Xenophon Santas, Patrick Langat, Samuel Mwalili, Kimeu Muthusi, Nicky Okeyo, James K Ojwang, Ronald Cornet and 2 more

2 registry-linked trialsAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The lancet. HIV, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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.

NCT01634802 naunknown statusnot on this map

Evaluation of Use of Clinical Decision Support System for Early Detection of Immunological Treatment Failure Among HIV Patients in Resource Constrained Settings

TypeinterventionalSponsorKenya Medical Research InstituteRan2012 to 2013Enrolled1,460ConditionsHIVArmsEMR Only, EMR+CDSS
NCT04283929 naunknown statusnot on this mapstarted 2018, after this paper: background citation

Evaluation of the Clinical Impacts and Costs of eHealth in Rwanda Using Innovative Frameworks and Local Capacity Building

TypeinterventionalSponsorNational University, RwandaRan2018 to 2020Enrolled112ConditionsHIV/AIDS and Infections, Electronic Medical Records, Clinical Decision Support SystemArmsExperimental: Intervention 1 (Int1), Experimental: Intervention 2 (Int2), Experimental: Intervention 3 (Int3)
3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Trial
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  5. Review
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  7. The Global Health Informatics landscape and JAMIA.Journal of the American Medical Informatics Association : JAMIA · 2023
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Tom OluochDivision of Global HIV/AIDS, US Centers for Disease Control and Prevention (CDC), Nairobi, Kenya. Electronic address: toluoch@cdc.gov.
Abraham KatanaDivision of Global HIV/AIDS, US Centers for Disease Control and Prevention (CDC), Nairobi, Kenya.
Daniel KwaroKenya Medical Research Institute-CDC Collaborative Program, Kisumu, Kenya.
Xenophon SantasAtlanta, GA, USA.
Patrick LangatKenya Medical Research Institute-CDC Collaborative Program, Kisumu, Kenya.
Samuel MwaliliDivision of Global HIV/AIDS, US Centers for Disease Control and Prevention (CDC), Nairobi, Kenya.
Kimeu MuthusiUniversity of California, San Francisco, Nairobi, Kenya.
Nicky OkeyoKenya Medical Research Institute-CDC Collaborative Program, Kisumu, Kenya.
James K OjwangDivision of Global HIV/AIDS, US Centers for Disease Control and Prevention (CDC), Nairobi, Kenya.
Ronald CornetDepartment of Medical Informatics, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands; Department of Biomedical Engineering, Linköping University, Linköping, Sweden.
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

backgroundA clinical decision support system (CDSS) is a computer program that applies a set of rules to data stored in electronic health records to offer actionable recommendations. We aimed to establish whether a CDSS that supports detection of immunological treatment failure among patients with HIV taking antiretroviral therapy (ART) would improve appropriate and timely action.

methodsWe did this prospective, cluster randomised controlled trial in adults and children (aged ≥18 months) who were eligible for, and receiving, ART at HIV clinics in Siaya County, western Kenya. Health facilities were randomly assigned (1:1), via block randomisation (block size of two) with a computer-generated random number sequence, to use electronic health records either alone (control) or with CDSS (intervention). Facilities were matched by type and by number of patients enrolled in HIV care. The primary outcome measure was the difference between groups in the proportion of patients who experienced immunological treatment failure and had a documented clinical action. We used generalised linear mixed models with random effects to analyse clustered data. This trial is registered with ClinicalTrials.gov, number NCT01634802.

findingsBetween Sept 1, 2012, and Jan 31, 2014, 13 clinics, comprising 41,062 patients, were randomly assigned to the control group (n=6) or the intervention group (n=7). Data collection at each site took 12 months. Among patients eligible for ART, 10,358 (99%) of 10,478 patients were receiving ART at control sites and 10,991 (99%) of 11,028 patients were receiving ART at intervention sites. Of these patients, 1125 (11%) in the control group and 1342 (12%) in the intervention group had immunological treatment failure, of whom 332 (30%) and 727 (54%), respectively, received appropriate action. The likelihood of clinicians taking appropriate action on treatment failure was higher with CDSS alerts than with no decision support system (adjusted odds ratio 3·18, 95% CI 1·02-9·87).

interpretationCDSS significantly improved the likelihood of appropriate and timely action on immunological treatment failure. We expect our findings will be generalisable to virological monitoring of patients with HIV receiving ART once countries implement the 2015 WHO recommendation to scale up viral load monitoring.

fundingUS President's Emergency Plan for AIDS Relief (PEPFAR), through the US Centers for Disease Control and Prevention.

Indexed as

Decision Support Systems, ClinicalAdolescentAdultAnti-HIV AgentsCD4 Lymphocyte CountChildChild, PreschoolDelivery of Health CareDrug Administration ScheduleFemaleHIV InfectionsHumansInfantKenyaMaleProspective StudiesAnti-HIV Agents

Identifiers

PMID26847229
PMCPMC4777604

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

Registered trials

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.