Evidence map›Paper›PMID 37042050›Full record

Trial reportProgress in transplantation (Aliso Viejo, Calif.)2023

A Randomized Control Trial Testing a Medication Safety Dashboard in Veteran Transplant Recipients.

David J Taber, Sherry Milfred-LaForest, Kelsey Rife, Rebecca Felkner, Danielle Cooney, Nicholas Super, Samantha McClelland, Casey Buchanan

Abstract readRandomized Controlled TrialMulticenter Study
In one paragraph

Trial report in Progress in transplantation (Aliso Viejo, Calif.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Results of a multicenter cluster-randomized controlled clinical trial testing the effectiveness of a bioinformatics-enabled pharmacist intervention in transplant recipients.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2023
    Trial
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.

David J TaberDepartment of Pharmacy Services, Ralph H Johnson VAMC, Charleston, SC, USA.ORCID 0000-0001-7273-4589
Sherry Milfred-LaForestDepartment of Pharmacy Service, Louis Stokes VAMC, Cleveland, OH, USA.ORCID 0000-0003-4076-186X
Kelsey RifeDepartment of Pharmacy Service, Louis Stokes VAMC, Cleveland, OH, USA.
Rebecca FelknerDepartment of Pharmacy Services, William S. Middleton VAMC, Madison, WI, USA.
Danielle CooneyDepartment of Pharmacy Service, Louis Stokes VAMC, Cleveland, OH, USA.
Nicholas SuperDepartment of Pharmacy Services, Jesse Brown VAMC, Chicago, IL, USA.
Samantha McClellandVA Great Lakes Health Care System (VISN 12), Westchester, IL, USA.ORCID 0000-0001-5155-3973
Casey BuchananRalph H Johnson VAMC, HEROIC Center of Innovation, Charleston, SC, USA.

Funding

HSRD VA I01 HX002130
6 · The paper itself

Abstract

introductionMedication errors, adverse events, and nonadherence in organ transplant recipients are common and can lead to suboptimal outcomes. A medication safety dashboard was developed to identify issues in medication therapy. RESEARCH QUESTIONS: Can a multicenter bioinformatics dashboard accurately identify clinically relevant medication safety issues in US military Veteran transplant recipients?

designThe dashboard was tested through a 24-month, prospective, cluster-randomized controlled multicenter study. Pharmacists used the dashboard to identify and address potential medication safety issues, which was compared with usual care.

resultsAcross the 10 sites (5 control sites and 5 intervention sites), 2012 patients were enrolled (1197 intervention vs 831 control). The mean age was 65 (10) years, 95% male, and 27% Black. The dashboard produced 18 132 alerts at a rate of 0.61(0.32) alerts per patient-month, ranging from 0.44 to 0.72 across the 5 intervention sites. Lab-based issues were most common (83.4%), followed by nonadherence (9.4%) and transitions in care (6.4%); 56% of alerts were addressed, taking an average of 43 (29) days. Common responses to alerts included those already resolved by another provider (N = 4431, 44%), the alert not clinically relevant (N = 3131, 31%), scheduling of follow-up labs (N = 591, 6%), and providing medication reconciliation/education (N = 99, 1%). Inaccurate flags significantly decreased over the study by a mean of -0.6% per month (95% CI -0.1 to -1.0;

conclusionThis multicenter cluster-randomized controlled trial demonstrated that a medication safety dashboard was feasibly deployable across the VA healthcare system, creating valid alerts.

Indexed as

VeteransAgedFemaleHumansMaleMedication ErrorsPharmacistsProspective StudiesTransplant Recipientsclinical decision support systemsdrug safetyorgan transplantation

Identifiers

PMID37042050
PMCPMC11869121

What OpenQuestion holds

Textmetadata
LicenceTDM
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.