Evidence map›Paper›PMID 36581868›Full record

ArticleBMC medical informatics and decision making2022

Effectiveness of clinical decision support in controlling inappropriate red blood cell and platelet transfusions, speciality specific responses and behavioural change.

Jolene Atia, Felicity Evison, Suzy Gallier, Sophie Pettler, Mark Garrick, Simon Ball, Will Lester, Suzanne Morton, Jamie Coleman, Tanya Pankhurst

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 42% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Anemia diagnosis and therapy in malignant diseases: implementation of guidelines-a representative study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Observational
  4. 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

10 authors at 3 institutions in 1 country.

Jolene AtiaUniversity Hospital Birmingham NHS Foundation Trust, Edgbaston, Birmingham, B15 2GW, UK.
Felicity EvisonUniversity Hospital Birmingham NHS Foundation Trust, Edgbaston, Birmingham, B15 2GW, UK.
Suzy GallierUniversity Hospital Birmingham NHS Foundation Trust, Edgbaston, Birmingham, B15 2GW, UK.
Sophie PettlerUniversity Hospital Birmingham NHS Foundation Trust, Edgbaston, Birmingham, B15 2GW, UK.
Mark GarrickUniversity Hospital Birmingham NHS Foundation Trust, Edgbaston, Birmingham, B15 2GW, UK.
Simon BallUniversity Hospital Birmingham NHS Foundation Trust, Edgbaston, Birmingham, B15 2GW, UK.
Will LesterUniversity Hospital Birmingham NHS Foundation Trust, Edgbaston, Birmingham, B15 2GW, UK.
Suzanne MortonUniversity Hospital Birmingham NHS Foundation Trust, Edgbaston, Birmingham, B15 2GW, UK.
Jamie ColemanUniversity Hospital Birmingham NHS Foundation Trust, Edgbaston, Birmingham, B15 2GW, UK.
Tanya PankhurstUniversity Hospital Birmingham NHS Foundation Trust, Edgbaston, Birmingham, B15 2GW, UK. Tanya.Pankhurst@uhb.nhs.uk.
University Hospitals Birmingham NHS Foundation Trust · GBUniversity of Birmingham · GBNHS Blood and Transplant · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectronic clinical decision support (CDS) within Electronic Health Records has been used to improve patient safety, including reducing unnecessary blood product transfusions. We assessed the effectiveness of CDS in controlling inappropriate red blood cell (RBC) and platelet transfusion in a large acute hospital and how speciality specific behaviours changed in response.

methodsWe used segmented linear regression of interrupted time series models to analyse the instantaneous and long term effect of introducing blood product electronic warnings to prescribers. We studied the impact on transfusions for patients in critical care (CC), haematology/oncology (HO) and elsewhere.

resultsIn non-CC or HO, there was significant and sustained decrease in the numbers of RBC transfusions after introduction of alerts. In CC the alerts reduced transfusions but this was not sustained, and in HO there was no impact on RBC transfusion. For platelet transfusions outside of CC and HO, the introduction of alerts stopped a rising trend of administration of platelets above recommended targets. In CC, alerts reduced platelet transfusions, but in HO alerts had little impact on clinician prescribing.

conclusionThe findings suggest that CDS can result in immediate change in user behaviour which is more obvious outside specialist settings of CC and HO. It is important that this is then sustained. In CC and HO, blood transfusion practices differ. CDS thus needs to take specific circumstances into account. In this case there are acceptable reasons to transfuse outside of these crude targets and CDS should take these into account.

Indexed as

Decision Support Systems, ClinicalPlatelet TransfusionBlood TransfusionErythrocytesErythrocyte TransfusionHumansCDSClinical decision supporte-AlertsEHRElectronic health recordsHaemoglobinPlateletsRed blood cellsSegmented linear regression of interrupted time seriesTransfusion

Identifiers

PMID36581868
PMCPMC9798655
OpenAlexW4313242221

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.