Evidence map›Paper›PMID 34930228›Full record

Trial reportBMC medical informatics and decision making2021

A clinical decision support system is associated with reduced loss to follow-up among patients receiving HIV treatment in Kenya: a cluster randomized trial.

Tom Oluoch, Ronald Cornet, Jacques Muthusi, Abraham Katana, Davies Kimanga, Daniel Kwaro, Nicky Okeyo, Ameen Abu-Hanna, Nicolette de Keizer

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC medical informatics and decision making, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01634802 (Evaluation of Use of Clinical Decision Support System for Early Detection of Immunological Treatment Failure Among HIV Patients in Resource Constrained Settings), which is not on this map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 41% of its field
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
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
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 at 4 institutions in 4 countries.

Tom OluochDivision of Global HIV and TB, US Centers for Disease Control and Prevention, 1600 Clifton Road NE, GA, 30329, Atlanta, USA. toluoch@cdc.gov.ORCID 0000-0001-9621-5900
Ronald CornetDepartment of Medical Informatics, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Jacques MuthusiDivision of Global HIV and TB, US Centers for Disease Control and Prevention, Nairobi, Kenya.
Abraham KatanaDivision of Global HIV and TB, US Centers for Disease Control and Prevention, Nairobi, Kenya.
Davies KimangaDivision of Global HIV and TB, US Centers for Disease Control and Prevention, Nairobi, Kenya.
Daniel KwaroKenya Medical Research Institute - CDC Collaborative Program, Kisumu, Kenya.
Nicky OkeyoKenya Medical Research Institute - CDC Collaborative Program, Kisumu, Kenya.
Ameen Abu-HannaDepartment of Medical Informatics, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Nicolette de KeizerDepartment of Medical Informatics, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Amsterdam University Medical Centers · NLCenters for Disease Control and Prevention · KEKenya Medical Research Institute · KECenters for Disease Control and Prevention · US

Funding

CGH CDC HHS U19 GH000041U.S. President's Emergency Plan for AIDS Relief 1U19GH00041
6 · The paper itself

Abstract

backgroundLoss to follow-up (LFTU) among HIV patients remains a major obstacle to achieving treatment goals with the risk of failure to achieve viral suppression and thereby increased HIV transmission. Although use of clinical decision support systems (CDSS) has been shown to improve adherence to HIV clinical guidance, to our knowledge, this is among the first studies conducted to show its effect on LTFU in low-resource settings.

methodsWe analyzed data from a cluster randomized controlled trial in adults and children (aged ≥ 18 months) who were receiving antiretroviral therapy at 20 HIV clinics in western Kenya between Sept 1, 2012 and Jan 31, 2014. Participating clinics were randomly assigned, via block randomization. Clinics in the control arm had electronic health records (EHR) only while the intervention arm had an EHR with CDSS. The study objectives were to assess the effects of a CDSS, implemented as alerts on an EHR system, on: (1) the proportion of patients that were LTFU, (2) LTFU patients traced and successfully linked back to treatment, and (3) time from enrollment on the study to documentation of LTFU.

resultsAmong 5901 eligible patients receiving ART, 40.6% (n = 2396) were LTFU during the study period. CDSS was associated with lower LTFU among the patients (Adjusted Odds Ratio-aOR 0.70 (95% CI 0.65-0.77)). The proportions of patients linked back to treatment were 25.8% (95% CI 21.5-25.0) and 30.6% (95% CI 27.9-33.4)) in EHR only and EHR with CDSS sites respectively. CDSS was marginally associated with reduced time from enrollment on the study to first documentation of LTFU (adjusted Hazard Ratio-aHR 0.85 (95% CI 0.78-0.92)).

conclusionA CDSS can potentially improve quality of care through reduction and early detection of defaulting and LTFU among HIV patients and their re-engagement in care in a resource-limited country. Future research is needed on how CDSS can best be combined with other interventions to reduce LTFU. Trial registration NCT01634802. Registered at www.clinicaltrials.gov on 12-Jul-2012. Registered prospectively.

Indexed as

Anti-HIV AgentsDecision Support Systems, ClinicalHIV InfectionsAdultChildFollow-Up StudiesHumansKenyaLost to Follow-UpAnti-HIV AgentsDecision support systemsElectronic medical recordsHIVLoss to follow-upLow resource countryQuality of care

Identifiers

PMID34930228
PMCPMC8686234
OpenAlexW4200036379

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.