Evidence map›Paper›PMID 33378781›Full record

ArticleApplied clinical informatics2020

Reducing Inappropriate Outpatient Medication Prescribing in Older Adults across Electronic Health Record Systems.

Michael P Friebe, Joseph R LeGrand, Bryan E Shepherd, Elizabeth A Breeden, Scott D Nelson

Open access · bronzeAbstract read
In one paragraph

Article in Applied clinical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
0.9field-weighted citation impact, top 26% 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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Ambulatory Medication Safety in Primary Care: A Systematic Review.Journal of the American Board of Family Medicine : JABFM
    Pooled it
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Applying requisite imagination to safeguard electronic health record transitions.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  10. Article
  11. 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 at 2 institutions in 1 country.

Michael P FriebeLipscomb University College of Pharmacy and Health Sciences, Nashville, Tennessee, United States.
Joseph R LeGrandHealthIT, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Bryan E ShepherdDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Elizabeth A BreedenLipscomb University College of Pharmacy and Health Sciences, Nashville, Tennessee, United States.
Scott D NelsonDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Vanderbilt University Medical Center · USLipscomb University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe American Geriatrics Society recommends against the use of certain potentially inappropriate medications (PIMs) in older adults. Prescribing of these medications correlates with higher rates of hospital readmissions, morbidity, and mortality. Vanderbilt University Medical Center previously deployed clinical decision support (CDS) to decrease PIM prescribing rates, but recently transitioned to a new electronic health record (EHR).

objectiveThe goal of this study was to evaluate PIM prescribing rates for older adults before and after migration to the new EHR system.

methodsWe reviewed prescribing rates of PIMs in adults 65 years and older, normalized per 100 total prescriptions from the legacy and new EHR systems between July 1, 2014 and December 31, 2019. The PIM prescribing rates before and after EHR migration during November 2017 were compared using a U-chart and Poisson regression model. Secondary analysis descriptively evaluated the frequency of prescriber acceptance rates in the new EHR.

resultsPrescribing rates of PIMs decreased 5.2% (13.5 per 100 prescriptions to 12.8 per 100 prescriptions;

conclusionThe prescribing rate of PIMs in adults aged 65 years and older was successfully decreased with the implementation of prescribing CDS. This decrease was not only maintained but strengthened by the transition to a new EHR system.

Indexed as

Decision Support Systems, ClinicalElectronic Health RecordsOutpatientsAgedHumansInappropriate PrescribingPotentially Inappropriate Medication List

Identifiers

PMID33378781
PMCPMC7773492
OpenAlexW3117955464

What OpenQuestion holds

Textmetadata
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.