Evidence map›Paper›PMID 21480953›Full record

Trial reportBritish journal of clinical pharmacology2011

Outcomes of a decision support prompt in community pharmacy-dispensing software to promote step-down of proton pump inhibitor therapy.

Colin Curtain, Gregory M Peterson, Peter Tenni, Ivan K Bindoff, Mackenzie Williams

Open access · bronzeAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in British journal of clinical pharmacology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
0.3field-weighted citation impact, top 37% 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, 3 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Article
  7. Article
  8. Community pharmacy: an untapped patient data resource.Integrated pharmacy research & practice · 2016
    Review
  9. 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 1 institution in 1 country.

Colin CurtainUnit for Medication Outcomes Research and Education, School of Pharmacy, University of Tasmania, Hobart, Tasmania, Australia. colin.curtain@utas.edu.au
Gregory M Peterson
Peter Tenni
Ivan K Bindoff
Mackenzie Williams
University of Tasmania · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo evaluate the effect of a computerized decision support prompt regarding high-dose proton pump inhibitor (PPI) therapy on prescribing and medication costs.

methodsA prompt activated on dispensing high-dose esomeprazole or pantoprazole was implemented in 73 of 185 pharmacies. Anonymized prescription data and a patient survey were used to determine changes in prescribing and associated medication costs.

resultsThe pharmacist-recorded PPI intervention rate per 100 high-dose PPI prescriptions was 1.67 for the PPI prompt group and 0.17 for the control group (P < 0.001). During the first 28 days of the trial, 196 interventions resulted in 34 instances of PPI step-down, with 28 of these occurring in PPI prompt pharmacies. Cost savings attributable to the prompt were AUD 7.98 (£4.95) per month per PPI prompt pharmacy compared with AUD 1.05 (£0.65) per control pharmacy.

conclusionThe use of electronic decision support prompts in community pharmacy practice can promote the quality use of medicines.

Indexed as

Community Pharmacy ServicesDecision Support TechniquesAustraliaDrug CostsDrug PrescriptionsDrug Therapy, Computer-AssistedHumansOutcome Assessment, Health CareProton Pump InhibitorsSoftwareProton Pump Inhibitors

Identifiers

PMID21480953
PMCPMC3093084
OpenAlexW1544582343

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.