Evidence map›Paper›PMID 29785684›Full record

ArticleInternational journal of clinical pharmacy2018

Impact of a clinical decision support system for drug dosage in patients with renal failure.

Sophie Desmedt, Anne Spinewine, Michel Jadoul, Séverine Henrard, Dominique Wouters, Olivia Dalleur

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In one paragraph

Article in International journal of clinical pharmacy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
7.2field-weighted citation impact, top 3% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
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  9. Awareness and Knowledge Among Internal Medicine House-Staff for Dose Adjustment of Cardiovascular Drugs in Chronic Kidney Disease.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2021
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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

6 authors at 2 institutions in 1 country.

Sophie DesmedtPharmacy, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Avenue Hippocrate 10, 1200, Brussels, Belgium.
Anne SpinewineClinical Pharmacy Research Group, Louvain Drug Research Institute, Université catholique de Louvain, Avenue E Mounier, 72 bte B1.72.02, 1200, Brussels, Belgium.
Michel JadoulDepartment of Nephrology, Institut de recherche expérimentale et clinique (IREC), Pôle de Néphrologie, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Avenue Hippocrate 10, 1200, Brussels, Belgium.
Séverine HenrardPharmacy, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Avenue Hippocrate 10, 1200, Brussels, Belgium.
Dominique WoutersPharmacy, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Avenue Hippocrate 10, 1200, Brussels, Belgium.
Olivia DalleurPharmacy, Cliniques universitaires Saint-Luc, Université catholique de Louvain, Avenue Hippocrate 10, 1200, Brussels, Belgium. olivia.dalleur@uclouvain.be.ORCID http://orcid.org/0000-0002-1072-987X
Cliniques Universitaires Saint-Luc · BECHU Dinant Godinne UCL Namur · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background A clinical decision support system (CDSS) linked to the computerized physician order entry may help improve prescription appropriateness in inpatients with renal insufficiency. Objective To evaluate the impact on prescription appropriateness of a CDSS prescriber alert for 85 drugs in renal failure patients. Setting Before-after study in a 975-bed academic hospital. Method Prescriptions of patients with renal failure were reviewed during two comparable periods of 6 days each, before and after the implementation of the CDSS (September 2009 and 2010). Main outcome measure The proportion of inappropriate dosages of 85 drugs included in the CDSS was compared in the pre- and post-implementation group. Results Six hundred and fifteen patients were included in the study (301 in pre- and 314 in post-implementation periods). In the pre- and post-implementation period, respectively 2882 and 3485 prescriptions were evaluated, of which 14.9 and 16.6% triggered an alert. Among these, the dosage was inappropriate in respectively 25.4 and 24.6% of prescriptions in the pre- and post-implementation periods (OR 0.97; 95% CI 0.72-1.29). The most frequently involved drugs were paracetamol, perindopril, tramadol and allopurinol. Conclusion The implementation of a CDSS did not significantly reduce the proportion of inappropriate drug dosages in patients with renal failure. Further research is required to investigate the reasons why prescribers override alerts. Collaboration with clinical pharmacists might improve compliance with the CDSS recommendations.

Indexed as

Decision Support Systems, ClinicalMedical Order Entry SystemsAgedAged, 80 and overDose-Response Relationship, DrugDrug Therapy, Computer-AssistedFemaleHumansInappropriate PrescribingMaleMiddle AgedPharmaceutical PreparationsPractice Patterns, Physicians'Renal InsufficiencyPharmaceutical PreparationsDecision support systemsInappropriate prescribingMedication errorPhysician order entry systemPrescription alertsRenal insufficiency

Identifiers

PMID29785684
OpenAlexW2804569066

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.