Evidence map›Paper›PMID 21103125›Full record

ArticleJRSM short reports2010

Planned implementations of ePrescribing systems in NHS hospitals in England: a questionnaire study.

Sarah Crowe, Kathrin Cresswell, Anthony J Avery, Ann Slee, Jamie J Coleman, Aziz Sheikh

Abstract read
In one paragraph

Article in JRSM short reports, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Inpatient prescribing systems used in NHS Acute Trusts across England: a managerial perspective.European journal of hospital pharmacy : science and practice · 2017
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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.

Sarah CroweSchool of Community Health Sciences, The University of Nottingham , Nottingham , UK.
Kathrin Cresswell
Anthony J Avery
Ann Slee
Jamie J Coleman
Aziz Sheikh

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo describe the plans of English NHS hospitals to implement ePrescribing systems. DESIGN AND

settingQuestionnaire-based survey of attendees of the National ePrescribing Forum.

participantsA piloted questionnaire was distributed to all NHS and non-NHS hospital-based attendees. The questionnaire enquired about any completed or planned implementation of ePrescribing systems, the specific systems of interest, and functionality they offered.

main outcome measuresEstimate of the number of NHS Trusts planning to implement ePrescribing systems.

resultsNinety-one of the 166 questionnaires distributed to NHS hospital-based staff were completed and returned. Of those, six were incomplete, resulting in a total usable response rate of 51% (n = 85). Eighty-two percent (n = 46) of the 56 Trusts represented at the Forum were either 'thinking of implementing' or 'currently implementing' an ePrescribing system, such as Ascribe (13%, n = 7) and JAC (20%, n = 11). Forty percent (n = 22) of respondents specified other systems, including those procured by NHS Connecting for Health e.g. RiO, Lorenzo and Cerner. Knowledge support, decision support and computerized links to other elements of patients' individual care records were the functionalities of greatest interest.

conclusionThere is considerable reported interest and activity in implementing ePrescribing systems in hospitals across England. Whether such developments have the desired impact on improving the safety of prescribing is however, yet to be determined.

Identifiers

PMID21103125
PMCPMC2984353

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.