Evidence map›Paper›PMID 26823927›Full record

Trial reportThe western journal of emergency medicine2016

Randomized Controlled Trial of Electronic Care Plan Alerts and Resource Utilization by High Frequency Emergency Department Users with Opioid Use Disorder.

Niels Rathlev, Reda Almomen, Ashley Deutsch, Howard Smithline, Haiping Li, Paul Visintainer

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in The western journal of emergency medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Real-Time Emergency Department Electronic Notifications Regarding High-Risk Patients: A Systematic Review.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2019
    Pooled it
  3. Pooled it
  4. Article
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  9. Review
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

6 authors.

Niels RathlevBaystate Medical Center and Tufts University School of Medicine, Department of Emergency Medicine, Boston, Massachusetts.
Reda AlmomenARAMCO, Department of Emergency Medicine, Dharan, Saudi Arabia.
Ashley DeutschBaystate Medical Center, Department of Emergency Medicine, Springfield, Massachusetts.
Howard SmithlineBaystate Medical Center and Tufts University School of Medicine, Department of Emergency Medicine, Boston, Massachusetts.
Haiping LiBaystate Medical Center, Department of Emergency Medicine, Springfield, Massachusetts.
Paul VisintainerBaystate Medical Center, Department of Academic Affairs Administration, Springfield, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThere is a paucity of literature supporting the use of electronic alerts for patients with high frequency emergency department (ED) use. We sought to measure changes in opioid prescribing and administration practices, total charges and other resource utilization using electronic alerts to notify providers of an opioid-use care plan for high frequency ED patients.

methodsThis was a randomized, non-blinded, two-group parallel design study of patients who had 1) opioid use disorder and 2) high frequency ED use. Three affiliated hospitals with identical electronic health records participated. Patients were randomized into "Care Plan" versus "Usual Care groups". Between the years before and after randomization, we compared as primary outcomes the following: 1) opioids (morphine mg equivalents) prescribed to patients upon discharge and administered to ED and inpatients; 2) total medical charges, and the numbers of; 3) ED visits, 4) ED visits with advanced radiologic imaging (computed tomography [CT] or magnetic resonance imaging [MRI]) studies, and 5) inpatient admissions.

resultsA total of 40 patients were enrolled. For ED and inpatients in the "Usual Care" group, the proportion of morphine mg equivalents received in the post-period compared with the pre-period was 15.7%, while in the "Care Plan" group the proportion received in the post-period compared with the pre-period was 4.5% (ratio=0.29, 95% CI [0.07-1.12]; p=0.07). For discharged patients in the "Usual Care" group, the proportion of morphine mg equivalents prescribed in the post-period compared with the pre-period was 25.7% while in the "Care Plan" group, the proportion prescribed in the post-period compared to the pre-period was 2.9%. The "Care Plan" group showed an 89% greater proportional change over the periods compared with the "Usual Care" group (ratio=0.11, 95% CI [0.01-0.092]; p=0.04). Care plans did not change the total charges, or, the numbers of ED visits, ED visits with CT or MRI or inpatient admissions.

conclusionElectronic care plans were associated with an incremental decrease in opioids (in morphine mg equivalents) prescribed to patients with opioid use disorder and high frequency ED use.

Indexed as

Electronic Health RecordsReminder SystemsAnalgesics, OpioidEmergency Service, HospitalFemaleHospitalizationHumansLongitudinal StudiesMaleMiddle AgedOpioid-Related DisordersPatient DischargePatient SelectionPractice Patterns, Physicians'United StatesAnalgesics, Opioid

Identifiers

PMID26823927
PMCPMC4729415

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.