Evidence map›Paper›PMID 27466041›Full record

ArticleApplied clinical informatics2016

Renal Drug Dosing. Effectiveness of Outpatient Pharmacist-Based vs. Prescriber-Based Clinical Decision Support Systems.

Erin A Vogel, Sarah J Billups, Sheryl J Herner, Thomas Delate

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Applied clinical informatics, 2016. 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, top 94% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Pharmacists as important prescribers of coronavirus disease 2019 (COVID-19) antivirals.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2022
    Article
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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

4 authors at 2 institutions in 1 country.

Erin A Vogel
Sarah J Billups
Sheryl J Herner
Thomas DelateThomas Delate, PhD, MS, Kaiser Permanente Colorado Pharmacy Dept., 16601 E. Centretech Pkwy, Aurora, CO 80011 USA, Phone: 303-739-3538;, Email: tom.delate@kp.org.
Kaiser Permanente · USUniversity of Colorado Anschutz Medical Campus · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this study was to compare the effectiveness of an outpatient renal dose adjustment alert via a computerized provider order entry (CPOE) clinical decision support system (CDSS) versus a CDSS with alerts made to dispensing pharmacists.

methodsThis was a retrospective analysis of patients with renal impairment and 30 medications that are contraindicated or require dose-adjustment in such patients. The primary outcome was the rate of renal dosing errors for study medications that were dispensed between August and December 2013, when a pharmacist-based CDSS was in place, versus August through December 2014, when a prescriber-based CDSS was in place. A dosing error was defined as a prescription for one of the study medications dispensed to a patient where the medication was contraindicated or improperly dosed based on the patient's renal function. The denominator was all prescriptions for the study medications dispensed during each respective study period.

resultsDuring the pharmacist- and prescriber-based CDSS study periods, 49,054 and 50,678 prescriptions, respectively, were dispensed for one of the included medications. Of these, 878 (1.8%) and 758 (1.5%) prescriptions were dispensed to patients with renal impairment in the respective study periods. Patients in each group were similar with respect to age, sex, and renal function stage. Overall, the five-month error rate was 0.38%. Error rates were similar between the two groups: 0.36% and 0.40% in the pharmacist- and prescriber-based CDSS, respectively (p=0.523). The medication with the highest error rate was dofetilide (0.51% overall) while the medications with the lowest error rate were dabigatran, fondaparinux, and spironolactone (0.00% overall).

conclusionsPrescriber- and pharmacist-based CDSS provided comparable, low rates of potential medication errors. Future studies should be undertaken to examine patient benefits of the prescriber-based CDSS.

Indexed as

Decision Support Systems, ClinicalDrug PrescriptionsOutpatientsPharmaceutical PreparationsPharmacistsContraindicationsDrug Dosage CalculationsHumansKidneyPharmaceutical Preparationsclinical decision support systemscomputerized provider order entrymedication errorspharmacistsRenal insufficiency

Identifiers

PMID27466041
PMCPMC5052546
OpenAlexW2501294415

What OpenQuestion holds

Textmetadata
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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.