Evidence map›Paper›PMID 23321963›Full record

Trial reportJournal of medical systems2013

A randomized trial of population-based clinical decision support to manage health and resource use for Medicaid beneficiaries.

David F Lobach, Kensaku Kawamoto, Kevin J Anstrom, Garry M Silvey, Janese M Willis, Fred S Johnson, Rex Edwards, Jessica Simo, Pam Phillips, David R Crosslin and 1 more

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Journal of medical systems, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 4 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

7 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Home telemonitoring and remote feedback between clinic visits for asthma.The Cochrane database of systematic reviews · 2016
    Pooled it
  3. Remote versus face-to-face check-ups for asthma.The Cochrane database of systematic reviews · 2016
    Pooled it
  4. Email for clinical communication between healthcare professionals.The Cochrane database of systematic reviews · 2015
    Pooled it
  5. Review
  6. Review
  7. Observational
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

11 authors.

David F LobachDivision of Clinical Informatics, Department of Community and Family Medicine, Duke University Medical Center, Durham, NC, USA.
Kensaku Kawamoto
Kevin J Anstrom
Garry M Silvey
Janese M Willis
Fred S Johnson
Rex Edwards
Jessica Simo
Pam Phillips
David R Crosslin
Eric L Eisenstein

Funding

Showing Health Information Value in a Community NetworkR01HS015057 · AHRQ · DUKE UNIVERSITY · PI LOBACH, DAVID F · 2004 to 2006
$493k
AHRQ HHS R01HS015057
6 · The paper itself

Abstract

To determine whether a clinical decision support system can favorably impact the delivery of emergency department and hospital services. Randomized clinical trial of three clinical decision support delivery modalities: email messages to care managers (email), printed reports to clinic administrators (report) and letters to patients (letter) conducted among 20,180 Medicaid beneficiaries in Durham County, North Carolina with follow-up through 9 months. Patients in the email group had fewer low-severity emergency department encounters vs. controls (8.1 vs. 10.6/100 enrollees, p < 0.001) with no increase in outpatient encounters or medical costs. Patients in the letter group had more outpatient encounters and greater outpatient and total medical costs. There were no treatment-related differences for patients in the reports group. Among patients <18 years, those in the email group had fewer low severity (7.6 vs. 10.6/100 enrollees, p < 0.001) and total emergency department encounters (18.3 vs. 23.5/100 enrollees, p < 0.001), and lower emergency department ($63 vs. $89, p = 0.002) and total medical costs ($1,736 vs. $2,207, p = 0.009). Patients who were ≥18 years in the letter group had greater outpatient medical costs. There were no intervention-related differences in patient-reported assessments of quality of life and medical care received. The effectiveness of clinical decision support messaging depended upon the delivery modality and patient age. Health IT interventions must be carefully evaluated to ensure that the resultant outcomes are aligned with expectations as interventions can have differing effects on clinical and economic outcomes.

Indexed as

AdolescentAdultAsthmaChildChild, PreschoolCommunity Health ServicesDecision Support Systems, ClinicalDiabetes MellitusElectronic MailEmergency Service, HospitalFemaleHumansInfantMaleMedicaidNorth Carolina

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.