Evidence map›Paper›PMID 33835183›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2021

CancelRx: a health IT tool to reduce medication discrepancies in the outpatient setting.

Taylor L Watterson, Jamie A Stone, Roger Brown, Ka Z Xiong, Anthony Schiefelbein, Edmond Ramly, Peter Kleinschmidt, Michael Semanik, Lauren Craddock, Samantha Pitts and 2 more

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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

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.

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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

12 authors.

Taylor L WattersonSchool of Pharmacy, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0002-2504-4363
Jamie A StoneSchool of Pharmacy, University of Wisconsin-Madison, Madison, WI, USA.
Roger BrownSchool of Nursing University of Wisconsin-Madison, Madison, WI, USA.
Ka Z XiongWisconsin Department of Health Services, Madison, WI, USA.
Anthony SchiefelbeinSchool of Nursing University of Wisconsin-Madison, Madison, WI, USA.
Edmond RamlySchool of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Peter KleinschmidtSchool of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Michael SemanikSchool of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Lauren CraddockSSM Health Dean Medical Group, Madison, WI, USA.
Samantha PittsJohns Hopkins Medicine, Baltimore, MD, USA.ORCID 0000-0002-7345-7525
Taylor WoodroofJohns Hopkins Medicine, Baltimore, MD, USA.
Michelle A ChuiSchool of Pharmacy, University of Wisconsin-Madison, Madison, WI, USA.

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
CancelRx: A Health IT tool to decrease medication discrepancies in the outpatient settingR21HS025793 · AHRQ · UNIVERSITY OF WISCONSIN-MADISON · PI CHUI, MICHELLE ANNE · 2018 to 2018
$286k
AHRQ HHS R21 HS025793NCATS NIH HHS UL1 TR002373
6 · The paper itself

Abstract

objectiveMedication list discrepancies between outpatient clinics and pharmacies can lead to medication errors. Within the last decade, a new health information technology (IT), CancelRx, emerged to send a medication cancellation message from the clinic's electronic health record (EHR) to the outpatient pharmacy's software. The objective of this study was to measure the impact of CancelRx on reducing medication discrepancies between the EHR and pharmacy dispensing software. MATERIALS AND

methodsCancelRx was implemented in October 2017 at an academic health system. For 12 months prior, and 12 months after CancelRx implementation, data were collected on discontinued medications in the health system's EHR and whether those prescriptions were successfully discontinued in the pharmacy's dispensing software. An interrupted time series analysis was conducted to model the occurrence of prescriptions successfully discontinued over time.

resultsThere was an immediate (lag = 0), significant (P < 0.001), and sustained (post-implementation slope 0.02) increase in the proportion of successful medication discontinuations after CancelRx implementation (from 34% to 93%). CancelRx had variable impact based on whether the clinic was primary care (71.4% change prepost) or specialty care (53.9% change prepost). CancelRx reduced the time between when a medication was discontinued in the clinic EHR and pharmacy dispensing software.

conclusionCancelRx automated a manual process and illustrated the role for health IT in communicating medication discontinuations between clinics and pharmacies. Overall, CancelRx had a marked benefit on medication list discrepancies and illustrated how health IT can be used across different settings to improve patient care.

Indexed as

Electronic PrescribingMedical InformaticsPharmaciesBiomedical TechnologyHumansOutpatientshealth information technologyimplementation scienceinterrupted time series analysispatient safety

Identifiers

PMID33835183
PMCPMC8661442

What OpenQuestion holds

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Registered trials

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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.