Evidence map›Paper›PMID 36260377›Full record

ArticleJMIR formative research2022

Shared Decision-Making for Drug-Drug Interactions: Formative Evaluation of an Anticoagulant Drug Interaction.

Ainhoa Gomez Lumbreras, Thomas J Reese, Guilherme Del Fiol, Malinda S Tan, Jorie M Butler, Jason T Hurwitz, Mary Brown, Kensaku Kawamoto, Henrik Thiess, Maria Wright and 1 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06401863 (Implementation of DDInteract A Shared-decision Making Tool for Anticoagulant Drug-Drug INTERACTions), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 35% 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.

NCT06401863 naactive not recruitingnot on this mapstarted 2023, after this paper: background citation

Implementation of DDInteract A Shared-decision Making Tool for Anticoagulant Drug-Drug INTERACTions (DDinteract)

TypeinterventionalSponsorUniversity of UtahRan2023 to 2026Enrolled3,691ConditionsAnticoagulants, Drug InteractionsArmsShared Decision Making Tool
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

11 authors at 4 institutions in 2 countries.

Ainhoa Gomez Lumbreras *Department of Pharmacotherapy, Skaggs College of Pharmacy, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0002-3916-0402
Thomas J Reese *Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, United States.ORCID https://orcid.org/0000-0002-1081-1670
Guilherme Del Fiol *Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0001-9954-6799
Malinda S TanDepartment of Pharmacotherapy, Skaggs College of Pharmacy, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0002-0116-0538
Jorie M ButlerDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0003-4519-7997
Jason T HurwitzCenter for Health Outcomes and Pharmacoeconomic Research, University of Arizona, Tucson, AZ, United States.ORCID https://orcid.org/0000-0003-3879-9877
Mary BrownUniversity of Arizona, Tucson, AZ, United States.ORCID https://orcid.org/0000-0002-6240-2297
Kensaku KawamotoDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0003-4282-9338
Henrik ThiessUniversity of Heidelberg, Heidelberg, Germany.ORCID https://orcid.org/0000-0003-3181-1343
Maria WrightDepartment of Pharmacotherapy, Skaggs College of Pharmacy, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0002-3144-4494
Daniel C MaloneDepartment of Pharmacotherapy, Skaggs College of Pharmacy, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0002-5006-9394
University of Utah · USUniversity of Arizona · USHeidelberg University · DEVanderbilt University · US

Funding

Enabling Shared Decision Making to Reduce Harm from Drug Interactions: An End-to-End DemonstrationU18HS027099 · AHRQ · UNIVERSITY OF UTAH · PI MALONE, DANIEL C · 2019 to 2020
$995k
AHRQ HHS U18 HS027099
6 · The paper itself

Abstract

backgroundWarnings about drug-drug interactions (DDIs) between warfarin and nonsteroidal anti-inflammatory drugs (NSAIDs) within electronic health records indicate potential harm but fail to account for contextual factors and preferences. We developed a tool called DDInteract to enhance and support shared decision-making (SDM) between patients and physicians when both warfarin and NSAIDs are used concurrently. DDInteract was designed to be integrated into electronic health records using interoperability standards.

objectiveThe purpose of this study was to conduct a formative evaluation of a DDInteract that incorporates patient and product contextual factors to estimate the risk of bleeding.

methodsA randomized formative evaluation was conducted to compare DDInteract to usual care (UC) using physician-patient dyads. Using case vignettes, physicians and patients on warfarin participated in simulated virtual clinical encounters where they discussed the use of taking ibuprofen and warfarin concurrently and determined an appropriate therapeutic plan based on the patient's individualized risk. Dyads were randomized to either DDInteract or UC. Participants completed a postsession interview and survey of the SDM process. This included the 9-item Shared Decision-Making Questionnaire (SDM-Q-9), tool usability and workload National Aeronautics and Space Administration (NASA) Task Load Index, Unified Theory of Acceptance and Use of Technology (UTAUT), Perceived Behavioral Control (PBC) scale, System Usability Scale (SUS), and Decision Conflict Scale (DCS). They also were interviewed after the session to obtain perceptions on DDInteract and UC resources for DDIs.

resultsTwelve dyad encounters were performed using virtual software. Most (n=11, 91.7%) patients were over 50 years of age, and 9 (75%) had been taking warfarin for more than 2 years (75%). Regarding scores on the SDM-Q-9, participants rated DDInteract higher than UC for questions pertaining to helping patients clarify the decision (P=.03), involving patients in the decision (P=.01), displaying treatment options (P<.001), identifying advantages and disadvantages (P=.01), and facilitating patient understanding (P=.01) and discussion of preferences (P=.01). Five of the 8 UTAUT constructs showed differences between the 2 groups, favoring DDInteract (P<.05). Usability ratings from the SUS were significantly higher (P<.05) for physicians using DDInteract compared to those in the UC group but showed no differences from the patient's perspective. No differences in patient responses were observed between groups using the DCS. During the session debrief, physicians indicated little concern for the additional time or workload entailed by DDInteract use. Both clinicians and patients indicated that the tool was beneficial in simulated encounters to understand and mitigate the risk of harm from this DDI.

conclusionsOverall, DDInteract may improve encounters where there is a risk of bleeding due to a potential drug-drug interaction involving anticoagulants. Participants rated DDInteract as logical and useful for enhancing SDM. They reported that they would be willing to use the tool for an interaction involving warfarin and NSAIDs.

Indexed as

anti-inflammatorydecision makingdecision making, shareddecision supportdecision support systems, clinicaldrug interactionnon-steroidalNSAIDpatient-centered carepharmaceuticalpharmacotherapypharmacyrisk managementunified theory of acceptance and use of technologyuser-centered designUTAUTwarfarin

Identifiers

PMID36260377
PMCPMC9631167
OpenAlexW4306832583

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.