Evidence map›Paper›PMID 26135455›Full record

ArticleBMC family practice2015

Improving antimicrobial prescribing in Irish primary care through electronic data collection and surveillance: a feasibility study.

Sandra Galvin, Aoife Callan, Martin Cormican, Sinead Duane, Kathleen Bennett, Andrew W Murphy, Akke Vellinga

Abstract read
In one paragraph

Article in BMC family practice, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Sandra GalvinDiscipline of General Practice, School of Medicine, National University of Ireland Galway, Galway, Ireland. Sandra.galvin@nuigalway.ie.
Aoife CallanDiscipline of General Practice, School of Medicine, National University of Ireland Galway, Galway, Ireland. aoife.callan@nuigalway.ie.
Martin CormicanDiscipline of Bacteriology, School of Medicine, National University of Ireland Galway, Galway, Ireland. martin.cormican@nuigalway.ie.
Sinead DuaneDiscipline of General Practice, School of Medicine, National University of Ireland Galway, Galway, Ireland. sinead.duane@nuigalway.ie.
Kathleen BennettDepartment of Pharmacology & Therapeutics, Trinity College Dublin, Dublin, Ireland. bennettk@tcd.ie.
Andrew W MurphyDiscipline of General Practice, School of Medicine, National University of Ireland Galway, Galway, Ireland. andrew.murphy@nuigalway.ie.
Akke VellingaDiscipline of General Practice, School of Medicine, National University of Ireland Galway, Galway, Ireland. akke.vellinga@nuigalway.ie.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe increase in the spread of antimicrobial resistance (AMR) in bacterial pathogens and limited availability of new antimicrobials places immense pressure on general practitioners (GPs) to prescribe appropriately. Currently, electronic antimicrobial prescribing data is not routinely collected from GPs in Ireland for surveillance purposes to assess regional specific fluctuations or trends in antimicrobial prescribing. The current study aimed to address this issue by assessing the feasibility of remotely extracting antimicrobial prescribing data from primary care practices in Ireland, for the purpose of assessing prescribing quality using the European Surveillance of Antimicrobial Consumption (ESAC) drug specific quality indicators.

methodsParticipating practices (n = 30) uploaded data to the Irish Primary Care Research Network (IPCRN). The IPCRN data extraction facility is integrated within the practice patient management software system and permitted the extraction of anonymised patient prescriptions for a one year period, from October 2012 to October 2013. The quality of antimicrobial prescribing was evaluated using the twelve ESAC drug specific quality indicators using the defined daily dose (DDD) per 1,000 inhabitants per day (DID) methodology. National and European prescribing surveillance data (based on total pharmacy sales) was obtained for a comparative analysis.

resultsAntimicrobial prescriptions (n = 57,079) for 27,043 patients were obtained from the thirty study practices for a one year period. On average, study practices prescribed a greater proportion of quinolones (37 % increase), in summer compared with winter months, a variation which was not observed in national and European data. In comparison with national data, study practices prescribed higher proportions of β-lactamase-sensitive penicillins (4.98 % vs. 4.3 %) and a greater use of broad spectrum compared to narrow-spectrum antimicrobials (ratio = 9.98 vs. 6.26) was observed. Study practices exceeded the European mean for prescribing combinations of penicillins, including β-lactamase inhibitors.

conclusionsThis research demonstrates the feasibility and potential use of direct data extraction of anonymised practice data directly through the patient management software system. The data extraction methods described can facilitate the provision of routinely collected data for sustained and inclusive surveillance of antimicrobial prescribing. These comparisons may initiate further improvements in antimicrobial prescribing practices by identifying potential areas for improvement.

Indexed as

Anti-Infective AgentsAdolescentAdultAgedAged, 80 and overDrug UtilizationElectronic PrescribingFeasibility StudiesFemaleHumansInappropriate PrescribingInformation Storage and RetrievalIrelandMaleMiddle AgedPractice Patterns, Physicians'Anti-Infective Agents

Identifiers

PMID26135455
PMCPMC4489398

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.