Evidence map›Paper›PMID 29532297›Full record

Trial reportJournal of general internal medicine2018

The Impact of Automated Notification on Follow-up of Actionable Tests Pending at Discharge: a Cluster-Randomized Controlled Trial.

Anuj K Dalal, Adam Schaffer, Esteban F Gershanik, Ranganath Papanna, Katyuska Eibensteiner, Nyryan V Nolido, Cathy S Yoon, Deborah Williams, Stuart R Lipsitz, Christopher L Roy and 1 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of general internal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01153451 (An Automatic Notification System for Test Results Finalized After Discharge), which is not on this map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 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.

NCT01153451 nacompletednot on this map

An Automatic Notification System for Test Results Finalized After Discharge

TypeinterventionalSponsorBrigham and Women's HospitalRan2010 to 2012Enrolled441ConditionsTest Result ManagementArmsEmail Notification
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Anuj K DalalDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA. adalal1@bwh.harvard.edu.
Adam SchafferDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA.
Esteban F GershanikDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA.
Ranganath PapannaDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA.
Katyuska EibensteinerDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA.
Nyryan V NolidoDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA.
Cathy S YoonDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA.
Deborah WilliamsDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA.
Stuart R LipsitzDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA.
Christopher L RoyDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA.
Jeffrey L SchnipperDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA.

Funding

AHRQ HHS R21 HS018229
6 · The paper itself

Abstract

backgroundFollow-up of tests pending at discharge (TPADs) is poor. We previously demonstrated a twofold increase in awareness of any TPAD by attendings and primary care physicians (PCPs) using an automated email intervention

objectiveTo determine whether automated notification improves documented follow-up for actionable TPADs

designCluster-randomized controlled trial SUBJECTS: Attendings and PCPs caring for adult patients discharged from general medicine and cardiology services with at least one actionable TPAD between June 2011 and May 2012

interventionAn automated system that notifies discharging attendings and network PCPs of finalized TPADs by email MAIN MEASURES: The primary outcome was the proportion of actionable TPADs with documented action determined by independent physician review of the electronic health record (EHR). Secondary outcomes included documented acknowledgment, 30-day readmissions, and adjusted median days to documented follow-up. KEY

resultsOf the 3378 TPADs sampled, 253 (7.5%) were determined to be actionable by physician review. Of these, 150 (123 patients discharged by 53 attendings) and 103 (90 patients discharged by 44 attendings) were assigned to intervention and usual care groups, respectively, and underwent chart review. The proportion of actionable TPADs with documented action was 60.7 vs. 56.3% (p = 0.82) in the intervention vs. usual care groups, similar for documented acknowledgment. The proportion of patients with actionable TPADs readmitted within 30 days was 22.8 vs. 31.1% in the intervention vs. usual care groups (p = 0.24). The adjusted median days [95% CI] to documented action was 9 [6.2, 11.8] vs. 14 [10.2, 17.8] (p = 0.04) in the intervention vs. usual care groups, similar for documented acknowledgment. In sub-group analysis, the intervention had greater impact on documented action for patients with network PCPs compared with usual care (70 vs. 50%, p = 0.03).

conclusionsAutomated notification of actionable TPADs shortened time to action but did not significantly improve documented follow-up, except for network-affiliated patients. The high proportion of actionable TPADs without any documented follow-up (~ 40%) represents an ongoing safety concern. CLINICAL TRIALS IDENTIFIER: NCT01153451.

Indexed as

AdultAftercareCluster AnalysisDiagnostic Tests, RoutineElectronic MailFemaleHumansMaleMiddle AgedPatient DischargeReminder Systemshealth information technologypatient safetytests pending at discharge

Identifiers

PMID29532297
PMCPMC6025668

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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.