Evidence map›Paper›PMID 25987824›Full record

ArticleP & T : a peer-reviewed journal for formulary management2015

Customized order-entry sets can prevent antiretroviral prescribing errors: a novel opportunity for antimicrobial stewardship.

Yi Guo, Philip Chung, Caryn Weiss, Keith Veltri, Grace Y Minamoto

Open access · greenAbstract read
In one paragraph

Article in P & T : a peer-reviewed journal for formulary management, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. An Evaluation of Pharmacist-Led Interventions for Inpatient HIV-Related Medication Errors.The Journal of pharmacy technology : jPT : official publication of the Association of Pharmacy Technicians · 2019
    Article
  5. Article
  6. Review
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.

Yi Guo
Philip Chung
Caryn Weiss
Keith Veltri
Grace Y Minamoto
Yeshiva University · USAlbert Einstein College of Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with human immunodeficiency virus (HIV) infection on antiretroviral (ARV) therapy are at increased risk for medication errors during transitions of care between the outpatient and inpatient settings. This can lead to treatment failure or toxicity. Previous studies have emphasized the prevalence of medication errors in such patients, but few have reported initiatives to prevent errors from occurring.

methodsThe study was conducted in a 1,400-bed health care center with a state-designated Acquired Immunodeficiency Syndrome (AIDS) Center in the Bronx, New York. The antimicrobial stewardship team and HIV specialists developed customized order-entry sets (COES) to guide ARV prescribing and retrospectively reviewed their effect on error rates of initial ARV orders for inpatients before reconciliation. Patient records were reviewed in six-month periods before and after intervention. The student's t-test or Mann-Whitney U test was used to compare continuous variables; chi-square or Fisher's exact test was used for categorical variables.

resultsA total of 723 and 661 admissions were included in the pre-intervention and post-intervention periods, respectively. Overall, error rates decreased by 35% (38.0% to 24.8%, P < 0.01) with COES. Wrong doses and drug interactions decreased by more than 40% (P < 0.005). Error reductions were observed in protease inhibitor (PI)-based (43.6% versus 28.7%, P < 0.01) and non-PI-based (38.0% versus 24.4%, P = 0.02) regimens with COES. A shift in predominant drug-class errors was observed as there was a trend toward increased usage of non-PI regimens post-intervention. Admission in the pre-intervention period (adjusted odds ratio [AOR], 1.79; 95% confidence interval [CI], 1.39-2.31) and use of PI-based regimens (AOR, 2.03; 95% CI, 1.53-2.70) remained significantly associated with ARV prescribing errors after controlling for confounding factors.

conclusionDetailed COES improved ARV prescribing habits, reduced the potential for prescribing incorrect regimens, and can prove useful and cost-effective where HIV-specific medication reconciliation is unavailable.

Indexed as

antimicrobial stewardshipARVcomputerized order entryHIVmedication errors

Identifiers

PMID25987824
PMCPMC4422636
OpenAlexW2426687130

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.