Evidence map›Paper›PMID 20626946›Full record

Trial reportThe international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease2010

Electronic laboratory system reduces errors in National Tuberculosis Program: a cluster randomized controlled trial.

J A Blaya, S S Shin, G Yale, C Suarez, L Asencios, C Contreras, P Rodriguez, J Kim, P Cegielski, H S F Fraser

Abstract readComparative StudyMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. eHealth in TB clinical management.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2022
    Pooled it
  2. Pooled it
  3. Interventions to increase clinical incident reporting in health care.The Cochrane database of systematic reviews · 2012
    Pooled it
  4. Trial
  5. Trial
  6. Observational
  7. Article
  8. Article
  9. Review
  10. Validation of sputum smear results in the Electronic TB Register for the management of tuberculosis, South Africa.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2013
    Article
  11. Review
  12. Article
  13. Article
  14. 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

10 authors.

J A BlayaDecision Systems Group, Brigham & Women's Hospital, Boston, Massachusetts 02215 , USA. jblaya@hms.harvard.edu
S S Shin
G Yale
C Suarez
L Asencios
C Contreras
P Rodriguez
J Kim
P Cegielski
H S F Fraser

Funding

Assessing quality of individual predictions in medical decision support systemsR01LM009520 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI OHNO-MACHADO, LUCILA · 2007 to 2010
$1.4M
Evaluation of MDR-TB Treatment Strategies in Lima, PeruK23AI054591 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI SHIN, SONYA S · 2004 to 2006
$331k
NIAID NIH HHS K23 AI054591NLM NIH HHS 1R01LM009520NLM NIH HHS R01 LM009520
6 · The paper itself

Abstract

objectiveTo evaluate the impact of the e-Chasqui laboratory information system in reducing reporting errors compared to the current paper system.

designCluster randomized controlled trial in 76 health centers (HCs) between 2004 and 2008.

methodsBaseline data were collected every 4 months for 12 months. HCs were then randomly assigned to intervention (e-Chasqui) or control (paper). Further data were collected for the same months the following year. Comparisons were made between intervention and control HCs, and before and after the intervention.

resultsIntervention HCs had respectively 82% and 87% fewer errors in reporting results for drug susceptibility tests (2.1% vs. 11.9%, P = 0.001, OR 0.17, 95%CI 0.09-0.31) and cultures (2.0% vs. 15.1%, P < 0.001, OR 0.13, 95%CI 0.07-0.24), than control HCs. Preventing missing results through online viewing accounted for at least 72% of all errors. e-Chasqui users sent on average three electronic error reports per week to the laboratories.

conclusionse-Chasqui reduced the number of missing laboratory results at point-of-care health centers. Clinical users confirmed viewing electronic results not available on paper. Reporting errors to the laboratory using e-Chasqui promoted continuous quality improvement. The e-Chasqui laboratory information system is an important part of laboratory infrastructure improvements to support multidrug-resistant tuberculosis care in Peru.

Indexed as

Online SystemsClinical Laboratory Information SystemsClinical Laboratory TechniquesCluster AnalysisDiagnostic ErrorsElectronic Data ProcessingEquipment DesignFemaleHumansMaleNational Health ProgramsPrevalenceReproducibility of ResultsRetrospective StudiesTuberculosisUnited States

Identifiers

PMID20626946
PMCPMC8324019

What OpenQuestion holds

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Registered trials

None linked

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.