Evidence map›Paper›PMID 23208165›Full record

Trial reportAnnals of internal medicine2012

Efficacy of a clinical decision-support system in an HIV practice: a randomized trial.

Gregory K Robbins, William Lester, Kristin L Johnson, Yuchiao Chang, Gregory Estey, Dominic Surrao, Kimon Zachary, Sara M Lammert, Henry C Chueh, James B Meigs and 1 more

2 registry-linked trialsAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Annals of internal medicine, 2012. 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 26 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 7 pooled it
5.1field-weighted citation impact, top 5% 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.

NCT00678600 nacompletednot on this map

Optimizing HIV Disease-Specific Provider Alerts: A Randomized Controlled Informatics Trial Comparing Electronic Health Record (EHR) vs. Non-EHR Provider Alerts

TypeinterventionalSponsorNational Institute of Allergy and Infectious Diseases (NIAID)Ran2007 to 2008Enrolled1,011ConditionsHIV InfectionsArmsStandard (static) Computer Alerts, Enhanced Computer Alerts
NCT03935282 nacompletednot on this mapstarted 2020, after this paper: background citation

Assessing Effectiveness and Implementation of an EHR Tool to Assess Heart Health Among Survivors (AH-HA)

TypeinterventionalSponsorWake Forest University Health SciencesRan2020 to 2025Enrolled645ConditionsBreast Neoplasm, Prostatic Neoplasm, Colorectal Neoplasms, Endometrial NeoplasmsArmsAH-HA Tool in the EPIC EHR
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 7 syntheses or guidelines pooled it, 47 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Gregory K RobbinsMassachusetts General Hospital, Division of Infectious Diseases, 55 Fruit Street, Cox 5, Boston, MA 02114, USA. grobbins@partners.org
William Lester
Kristin L Johnson
Yuchiao Chang
Gregory Estey
Dominic Surrao
Kimon Zachary
Sara M Lammert
Henry C Chueh
James B Meigs
Kenneth A Freedberg
Massachusetts General Hospital · US

Funding

The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI RAJESH T GANDHI · 2004 to 2026
$94.4M
Development and application of a new simulation model for COVID-19R01AI042006 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Kenneth Alan Freedberg, Anne Neilan · 1998 to 2026
$12.9M
Cost-effectiveness of preventing HIV complicationsR37AI042006 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI FREEDBERG, KENNETH ALAN · 2006 to 2014
$7.1M
PARTNERS/FENWAY/SHATTUCK CENTER FOR AIDS RESEARCHP30AI042851 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI WALKER, BRUCE D · 2000 to 2003
$5.7M
Epidemiology of Precursors to Type 2 DiabetesK24DK080140 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2007 to 2016
$1.9M
Bridging the Gap HIV Trials and Clinical PracticeK01AI062435 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI ROBBINS, GREGORY K · 2005 to 2009
$661k
Optimal Strategies for Management of HIV DiseaseK24AI062476 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI FREEDBERG, KENNETH ALAN · 2004 to 2008
$512k
NIAID NIH HHS K01 AI062435NIAID NIH HHS K01AI062435NIAID NIH HHS K24 AI062476NIAID NIH HHS K24AI062476NIAID NIH HHS P30 AI042851NIAID NIH HHS P30 AI060354NIAID NIH HHS P30AI42851NIAID NIH HHS R01 AI042006NIAID NIH HHS R37 AI042006NIAID NIH HHS R37AI42006NIDDK NIH HHS K24 DK080140NIDDK NIH HHS K24DK080140
6 · The paper itself

Abstract

backgroundData to support improved patient outcomes from clinical decision-support systems (CDSSs) are lacking in HIV care.

objectiveTo test the efficacy of a CDSS in improving HIV outcomes in an outpatient clinic.

designRandomized, controlled trial. (ClinicalTrials.gov registration number: NCT00678600)

settingMassachusetts General Hospital HIV Clinic.

participantsHIV care providers and their patients.

interventionComputer alerts were generated for virologic failure (HIV RNA level >400 copies/mL after a previous HIV RNA level ≤400 copies/mL), evidence of suboptimal follow-up, and 11 abnormal laboratory test results. Providers received interactive computer alerts, facilitating appointment rescheduling and repeated laboratory testing, for half of their patients and static alerts for the other half. MEASUREMENTS: The primary end point was change in CD4 cell count. Other end points included time to clinical event, 6-month suboptimal follow-up, and severe laboratory toxicity.

resultsThirty-three HIV care providers followed 1011 patients with HIV. In the intervention group, the mean increase in CD4 cell count was greater (0.0053 vs. 0.0032 × 109 cells/L per month; difference, 0.0021 × 109 cells/L per month [95% CI, 0.0001 to 0.004]; P = 0.040) and the rate of 6-month suboptimal follow-up was lower (20.6 vs. 30.1 events per 100 patient-years; P = 0.022) than those in the control group. Median time to next scheduled appointment was shorter in the intervention group than in the control group after a suboptimal follow-up alert (1.71 vs. 3.48 months; P < 0.001) and after a toxicity alert (2.79 vs. >6 months; P = 0.072). More than 90% of providers supported adopting the CDSS as part of standard care. LIMITATION: This was a 1-year informatics study conducted at a single hospital subspecialty clinic.

conclusionA CDSS using interactive provider alerts improved CD4 cell counts and clinic follow-up for patients with HIV. Wider implementation of such systems can provide important clinical benefits. PRIMARY FUNDING SOURCE: National Institute of Allergy and Infectious Diseases.

Indexed as

Outcome Assessment, Health CareAdultAmbulatory Care FacilitiesAnti-HIV AgentsAppointments and SchedulesCD4 Lymphocyte CountDecision Support Systems, ClinicalFemaleHIVHIV InfectionsHumansKaplan-Meier EstimateMaleMassachusettsReminder SystemsRNA, MessengerAnti-HIV AgentsRNA, Messenger

Identifiers

PMID23208165
PMCPMC3829692
OpenAlexW2017592997

What OpenQuestion holds

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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.