Evidence map›Paper›PMID 25753453›Full record

ArticleAmerican journal of medical quality : the official journal of the American College of Medical Quality2016

Automated Communication Tools and Computer-Based Medication Reconciliation to Decrease Hospital Discharge Medication Errors.

Kenneth J Smith, Steven M Handler, Wishwa N Kapoor, G Daniel Martich, Vivek K Reddy, Sunday Clark

Open access · greenAbstract read
In one paragraph

Article in American journal of medical quality : the official journal of the American College of Medical Quality, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 21% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Electronic medication reconciliation in hospitals: a systematic review and meta-analysis.European journal of hospital pharmacy : science and practice · 2018
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Framework for Patient Safety.Innovations in pharmacy · 2019
    Article
  8. 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

6 authors at 2 institutions in 1 country.

Kenneth J SmithUniversity of Pittsburgh, Pittsburgh, PA smithkj2@upmc.edu.
Steven M HandlerUniversity of Pittsburgh, Pittsburgh, PA.
Wishwa N KapoorUniversity of Pittsburgh, Pittsburgh, PA.
G Daniel MartichUniversity of Pittsburgh, Pittsburgh, PA.
Vivek K ReddyUniversity of Pittsburgh, Pittsburgh, PA.
Sunday ClarkWeill Cornell Medical College, New York, NY.
University of Pittsburgh · USCornell University · US

Funding

Enhancing the Detection and Management of Adverse Drug Events in the Nursing HomeR01HS018721 · AHRQ · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HANDLER, STEVEN MARK · 2010 to 2013
$2.0M
The University of Pittsburgh's Comparative Effectiveness Research Scholars PrograK12HS019461 · AHRQ · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAPOOR, WISHWA N · 2010 to 2010
$1.9M
Virtual Continuity and its Impact on Complex Hospitalized Patients' CareR18HS018151 · AHRQ · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SMITH, KENNETH J · 2009 to 2011
$1.2M
UPITT Program for Pharmaceutical Outcomes Research in AgingK07AG033174 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HANLON, JOSEPH T · 2009 to 2013
$461k
AHRQ HHS K12 HS019461AHRQ HHS R01 HS018721AHRQ HHS R18 HS018151NIA NIH HHS K07 AG033174
6 · The paper itself

Abstract

This study sought to determine the effects of automated primary care physician (PCP) communication and patient safety tools, including computerized discharge medication reconciliation, on discharge medication errors and posthospitalization patient outcomes, using a pre-post quasi-experimental study design, in hospitalized medical patients with ≥2 comorbidities and ≥5 chronic medications, at a single center. The primary outcome was discharge medication errors, compared before and after rollout of these tools. Secondary outcomes were 30-day rehospitalization, emergency department visit, and PCP follow-up visit rates. This study found that discharge medication errors were lower post intervention (odds ratio = 0.57; 95% confidence interval = 0.44-0.74; P < .001). Clinically important errors, with the potential for serious or life-threatening harm, and 30-day patient outcomes were not significantly different between study periods. Thus, automated health system-based communication and patient safety tools, including computerized discharge medication reconciliation, decreased hospital discharge medication errors in medically complex patients.

Indexed as

Patient DropoutsAdultAgedCommunicationDrug Therapy, Computer-AssistedEmergency Service, HospitalFemaleHumansMaleMedication ErrorsMedication ReconciliationMiddle AgedPatient Readmissioncommunication toolshospital dischargemedication errormedication reconciliation

Identifiers

PMID25753453
PMCPMC4950978
OpenAlexW2033054223

What OpenQuestion holds

Textmetadata
LicenceTDM
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.