Evidence map›Paper›PMID 32654257›Full record

Trial reportAcademic emergency medicine : official journal of the Society for Academic Emergency Medicine2021

Improving Follow-up Attendance for Discharged Emergency Care Patients Using Automated Phone System to Self-schedule: A Randomized Controlled Trial.

Kyla L Bauer, Omolade O Sogade, Brian F Gage, Brent Ruoff, Lawrence Lewis

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Academic emergency medicine : official journal of the Society for Academic Emergency Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03002311 (Improving Medical Care With Electronic Interventions Based on Automated Text and Phone Messages), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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.

NCT03002311 nacompletednot on this map

Improving Medical Care With Electronic Interventions Based on Automated Text and Phone Messages

TypeinterventionalSponsorWashington University School of MedicineRan2016 to 2018Enrolled327ConditionsGeneral Medicine, Emergency Medicine, Mobile HealthArmsEpharmix/CareSignal eHealth
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Trial
  2. Effectiveness of a care transitions intervention for older adults discharged home from the emergency department: A randomized controlled trial.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2022
    Trial
  3. Article
  4. Review
  5. 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

5 authors.

Kyla L BauerFrom the, School of Medicine, Washington University, St. Louis, MO, USA.ORCID 0000-0003-0074-6374
Omolade O SogadeFrom the, School of Medicine, Washington University, St. Louis, MO, USA.
Brian F GageGeneral Medical Sciences, Washington University, St. Louis, MO, USA.
Brent Ruoffand the, Department of Emergency Medicine, School of Medicine, Washington University, St. Louis, MO, USA.
Lawrence Lewisand the, Department of Emergency Medicine, School of Medicine, Washington University, St. Louis, MO, USA.

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002345
6 · The paper itself

Abstract

backgroundAutomated phone appointment reminders have improved adherence with follow-up appointments in a variety of hospital settings, but have mixed results in patients discharged from the emergency department (ED). Increasing adherence to follow-up care has been a priority in the ED to improve patient outcomes and reduce unnecessary future visits.

methodsWe conducted a prospective randomized open, blinded end-point (PROBE) trial of 278 adult patients discharged from the ED and referred to a provider for follow-up care. Participants in the intervention arm received a self-scheduling text or phone message that automatically connected them to their referral provider to schedule a follow-up appointment and sent them appointment reminders. Those in the control arm received standard-of-care written instructions to contact listed referral providers. The primary outcome was time to appointment. The secondary outcome was time to return visit to the ED.

resultsThe automated reminders increased the cumulative incidence of keeping the referral appointment after ED discharge (p < 0.001, Gray's test). Of participants randomized to the automated phone intervention, 49.3% (n = 74) kept their follow-up appointment versus 23.4% (n = 30) in the control arm, with a hazard ratio (HR) and 95% confidence interval (CI) over the duration of the study period of 2.4 (1.6 to 3.7; p < 0.001). In a sensitivity analysis using 30 days of follow-up data, 42.0% (n = 63) of participants randomized to the phone intervention kept their follow-up versus 21.1% (n = 27) in the control arm, with a HR (95% CI) of 2.2 (1.4 to 3.5; p < 0.001). There was no difference in ED revisits between the intervention and control group within 120 days postdischarge.

conclusionsAn automated self-scheduling phone system significantly improved follow-up adherence after ED discharge, but did not decrease ED revisits.

Indexed as

AftercarePatient DischargeAdultAppointments and SchedulesEmergency Service, HospitalFollow-Up StudiesHumansProspective StudiesReminder Systems

Identifiers

PMID32654257
PMCPMC7855252

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.