Evidence map›Paper›PMID 36630999›Full record

ArticleApplied clinical informatics2023

User-Centered Design to Reduce Inappropriate Blood Transfusion Orders.

Brad Morse, Tyler Anstett, Neelam Mistry, Samuel Porter, Sharon Pincus, Chen-Tan Lin, Sylvie Novins-Montague, P Michael Ho

Abstract read
In one paragraph

Article in Applied clinical informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Pitfalls of reasoning in hospital-based transfusion medicine.Transfusion medicine (Oxford, England) · 2024
    Review
  4. 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

8 authors.

Brad MorseDepartment of Medicine, Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States.
Tyler AnstettDepartment of Medicine, Division Hospital Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States.
Neelam MistryDepartment of Medicine, Division Hospital Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States.
Samuel PorterDepartment of Medicine, Division Hospital Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States.
Sharon PincusAdult & Child Center for Outcomes Research & Delivery Science/The NavLab, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States.
Chen-Tan LinDepartment of Medicine, Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States.
Sylvie Novins-MontagueAdult & Child Center for Outcomes Research & Delivery Science/The NavLab, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States.
P Michael HoDepartment of Medicine, Division of Cardiology, University of Colorado School of Medicine, Aurora, Colorado, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo improve blood transfusion practices, we applied user-centered design (UCD) to evaluate potential changes to blood transfusion orders.

objectivesThe aim of the study is to build effective transfusion orders with different designs to improve guideline adherence.

methodsWe developed three different versions of transfusion orders that varied how information was presented to clinicians ordering blood transfusions. We engaged 14 clinicians (residents, advanced practice providers [APPs], and attending physicians) from different specialties. We used the think aloud technique and rapid qualitative analysis to generate themes to incorporate into our modified orders.

resultsMost end-users who participated in the semi-structured interviews preferred the interruptive alert design plus behavioral nudges (

conclusionThe user experience uncovered through the think aloud approach produced a clear and rich understanding of potentially confounding factors in the initial design of different intervention versions. Input from end-users guided the creation of all three designs so each was addressing human factors with parity, which ensured that the results of our study reflected differences in interruptive properties of the alerts and not differences in design.

Indexed as

Medical Order Entry SystemsUser-Centered DesignBlood TransfusionElectronic Health RecordsHealth PersonnelHumans

Identifiers

PMID36630999
PMCPMC9833954

What OpenQuestion holds

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Registered trials

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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.