Evidence map›Paper›PMID 39968291›Full record

ArticleBJA open2025

Development of a key performance indicator set for perioperative red blood cell transfusion.

Akshay Shah, Hayley G Evans, Antony J R Palmer, Alan M MacDonald, Martha Belete, Linda von Neree, Michael M F Murphy, Simon J Stanworth, Robbie Foy, NIHR Blood and Transplant Research Unit in Data Driven Transfusion Practice

Abstract read
In one paragraph

Article in BJA open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Akshay ShahNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Hayley G EvansNIHR Blood and Transplant Research Unit in Data Driven Transfusion Practice, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
Antony J R PalmerNuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, UK.
Alan M MacDonaldPoole Hospital, University Hospitals Dorset NHS Foundation Trust, Poole, UK.
Martha BeleteDepartment of Anaesthesia, Torbay and South Devon NHS Foundation Trust, Torquay, UK.
Linda von NereeNIHR UCL Hospitals Biomedical Research Centre, London, UK.
Michael M F MurphyNIHR Blood and Transplant Research Unit in Data Driven Transfusion Practice, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
Simon J StanworthNIHR Blood and Transplant Research Unit in Data Driven Transfusion Practice, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
Robbie FoyLeeds Institute of Health Sciences, University of Leeds, Leeds, UK.
NIHR Blood and Transplant Research Unit in Data Driven Transfusion Practice

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Perioperative red blood cell (RBC) transfusion is a common intervention in patients undergoing surgery but there is marked variation in practice. Key performance indicators (KPIs) are central to identifying deviation from agreed standards and improving clinical outcomes. We aimed to identify KPIs which can potentially be measured from routinely collected electronic healthcare records. Methods: We undertook a three-stage process. First, we completed a scoping review to identify potential KPIs from relevant literature and clinical guidelines. Next, we conducted a modified RAND consensus process with a multidisciplinary panel including medical professionals, patients and public involvement members. The consensus panel rated these KPIs according to importance and feasibility. Results: We identified 28 candidate KPIs covering the entire perioperative RBC transfusion process. The majority of the KPIs focused on improving patient care around the time of decision to transfuse RBCs and transfusion safety. Clinical outcome KPIs included hospital length of stay, hospital acquired infection, mortality, and hospital readmission at 30 and 90 days. Five candidate KPIs were judged as unimportant whilst there were concerns around the feasibility of measurement using routine data for 14 candidate KPIs. The panel identified nine potential KPIs for future testing. Conclusions: Using a systematic, stepwise, transparent approach, we have identified a set of 28 KPIs for assessment, monitoring, and improvement of perioperative RBC transfusion. Future research is needed to further validate this set for external use and benchmarking between hospitals and departments.

Indexed as

consensusoutcome performancequality improvementtransfusion

Identifiers

PMID39968291
PMCPMC11833354

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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.