Evidence map›Paper›PMID 37852249›Full record

ArticleApplied clinical informatics2023

Sustained Effect of Clinical Decision Support for Heart Failure: A Natural Experiment Using Implementation Science.

Katy E Trinkley, Garth Wright, Larry A Allen, Tellen D Bennett, Russell E Glasgow, Gary Hale, Simeon Heckman, Amy G Huebschmann, Michael G Kahn, David P Kao and 7 more

Open access · bronzeAbstract readMulticenter Study
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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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

17 authors at 6 institutions in 1 country.

Katy E TrinkleyDepartment of Family Medicine, University of Colorado Anschutz Medical Campus, School of Medicine, Aurora, Colorado, United States.
Garth WrightDepartment of Clinical Pharmacy, University of Colorado Anschutz Medical Campus Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, Colorado, United States.
Larry A AllenAdult and Child Center for Outcomes Research and Delivery Science, Aurora, Colorado, United States.
Tellen D BennettAdult and Child Center for Outcomes Research and Delivery Science, Aurora, Colorado, United States.
Russell E GlasgowDepartment of Family Medicine, University of Colorado Anschutz Medical Campus, School of Medicine, Aurora, Colorado, United States.
Gary HaleUCHealth, Aurora, Colorado, United States.
Simeon HeckmanUCHealth, Aurora, Colorado, United States.
Amy G HuebschmannAdult and Child Center for Outcomes Research and Delivery Science, Aurora, Colorado, United States.
Michael G KahnDepartment of Biomedical Informatics, University of Colorado School of Medicine, Aurora, Colorado, United States.
David P KaoUCHealth, Aurora, Colorado, United States.
Chen-Tan LinUCHealth, Aurora, Colorado, United States.
Daniel C MaloneDepartment of Pharmacotherapy, University of Utah Skaggs College of Pharmacy, Salt Lake City, Utah, United States.
Daniel D MatlockAdult and Child Center for Outcomes Research and Delivery Science, Aurora, Colorado, United States.
Lauren WellsDepartment of Clinical Pharmacy, University of Colorado Anschutz Medical Campus Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, Colorado, United States.
Vincent WysockiDepartment of Clinical Pharmacy, University of Colorado Anschutz Medical Campus Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, Colorado, United States.
Shelley ZhangDepartment of Family Medicine, University of Colorado Anschutz Medical Campus, School of Medicine, Aurora, Colorado, United States.
Krithika SureshAdult and Child Center for Outcomes Research and Delivery Science, Aurora, Colorado, United States.
Outcomes Research Consortium · USUniversity of Colorado Health · USUniversity of Colorado Anschutz Medical Campus · USColorado School of Public Health · USUniversity of Colorado Denver · USUniversity of Utah · US

Funding

IMPlementation to Achieve Clinical Transformation (IMPACT): The Colorado Training ProgramK12HL137862 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI GLASGOW, RUSSELL E, HAVRANEK, EDWARD PAUL · 2017 to 2021
$2.9M
Mentored Education for Dissemination and Implementation Science (MEDIS) ProgramR25DK123008 · NIDDK · WASHINGTON UNIVERSITY · PI BROWNSON, ROSS C, HAIRE-JOSHU, DEBRA · 2020 to 2024
$1.1M
Personalizing Clinical Decision Support for Heart Failure Treatment to Clinicians' NeedsK23HL161352 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI Katy E Trinkley · 2022 to 2026
$869k
NHLBI NIH HHS K12 HL137862NHLBI NIH HHS K23 HL161352NIDDK NIH HHS R25 DK123008
6 · The paper itself

Abstract

objectivesIn a randomized controlled trial, we found that applying implementation science (IS) methods and best practices in clinical decision support (CDS) design to create a locally customized, "enhanced" CDS significantly improved evidence-based prescribing of β blockers (BB) for heart failure compared with an unmodified commercially available CDS. At trial conclusion, the enhanced CDS was expanded to all sites. The purpose of this study was to evaluate the real-world sustained effect of the enhanced CDS compared with the commercial CDS.

methodsIn this natural experiment of 28 primary care clinics, we compared clinics exposed to the commercial CDS (preperiod) to clinics exposed to the enhanced CDS (both periods). The primary effectiveness outcome was the proportion of alerts resulting in a BB prescription. Secondary outcomes included patient reach and clinician adoption (dismissals).

resultsThere were 367 alerts for 183 unique patients and 171 unique clinicians (pre: March 2019-August 2019; post: October 2019-March 2020). The enhanced CDS increased prescribing by 26.1% compared with the commercial (95% confidence interval [CI]: 17.0-35.1%), which is consistent with the 24% increase in the previous study. The odds of adopting the enhanced CDS was 81% compared with 29% with the commercial (odds ratio: 4.17, 95% CI: 1.96-8.85). The enhanced CDS adoption and effectiveness rates were 62 and 14% in the preperiod and 92 and 10% in the postperiod.

conclusionApplying IS methods with CDS best practices was associated with improved and sustained clinician adoption and effectiveness compared with a commercially available CDS tool.

Indexed as

Decision Support Systems, ClinicalHeart FailureHumansImplementation Science

Identifiers

PMID37852249
PMCPMC10584394
OpenAlexW4387749291

What OpenQuestion holds

Textmetadata
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.