Evidence map›Paper›PMID 40840367›Full record

ArticleJMIR human factors2025

Clinician Needs and Requirements for a Decision Aid Navigator: Qualitative Study.

Brad Morse, Carrie Reale, An T Nguyen, Erin Latella, Hannah Bauguess, Shilo Anders, Pamela Roberts, Spencer L SooHoo, Robert El-Kareh, Andrey Soares and 1 more

Abstract read
In one paragraph

Article in JMIR human factors, 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
–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

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

11 authors.

Brad MorseDivision of General Internal Medicine, University of Colorado Anschutz Medical Campus, 1890 North Revere Court, Aurora, CO, 80045, United States, 1 3037245138.ORCID 0000-0002-1080-3961
Carrie RealeVanderbilt University Medical Center, Nashville, TN, United States.ORCID 0000-0002-9011-2692
An T NguyenCedars-Sinai Medical Center, Los Angeles, CA, United States.ORCID 0000-0003-2408-6307
Erin LatellaDivision of General Internal Medicine, University of Colorado Anschutz Medical Campus, 1890 North Revere Court, Aurora, CO, 80045, United States, 1 3037245138.ORCID 0009-0001-3221-4770
Hannah BauguessDivision of General Internal Medicine, University of Colorado Anschutz Medical Campus, 1890 North Revere Court, Aurora, CO, 80045, United States, 1 3037245138.ORCID 0009-0000-4685-9919
Shilo AndersVanderbilt University Medical Center, Nashville, TN, United States.ORCID 0000-0002-2327-7323
Pamela RobertsCedars-Sinai Medical Center, Los Angeles, CA, United States.ORCID 0000-0002-1675-3782
Spencer L SooHooCedars-Sinai Medical Center, Los Angeles, CA, United States.ORCID 0000-0003-3709-5659
Robert El-KarehUniversity of California, San Diego, San Diego, United States.ORCID 0000-0003-3158-5681
Andrey SoaresDivision of General Internal Medicine, University of Colorado Anschutz Medical Campus, 1890 North Revere Court, Aurora, CO, 80045, United States, 1 3037245138.ORCID 0000-0003-4319-9411
Lisa SchillingDivision of General Internal Medicine, University of Colorado Anschutz Medical Campus, 1890 North Revere Court, Aurora, CO, 80045, United States, 1 3037245138.ORCID 0000-0002-6878-189X

Funding

AHRQ HHS R18 HS028578
6 · The paper itself

Abstract

Background: Decision aids (DAs) are important tools that support shared decision-making (SDM) between clinicians and patients, enabling patients to be more informed and engaged in decisions regarding their care. The use of DAs can increase patient knowledge, reduce decisional regret, and engage the clinician and patient in meaningful dialog. Despite proven effectiveness in enhancing patient-centered care, a gap remains in clinician use of DAs. Known clinician barriers to using DAs include (1) time constraints, (2) concerns about the match between patient need and available DAs, (3) forcing users to leave the electronic health record (EHR) to access DAs, and (4) the burden of manually entering data into the DA. Objective: This qualitative study identified the needs and requirements of clinicians to inform the design of a clinician-facing, EHR-integrated, Substitutable Medical Applications, Reusable Technologies (SMART; SMART Health IT) on Fast Healthcare Interoperability Resources (FHIR) (HL7) app, the Decision Aid Navigator (DEAN; University of Colorado Anschutz Medical Campus). The Navigator identifies and surfaces DAs that are relevant to a patient's health care conditions (eg, atrial fibrillation), current care (eg, not on anticoagulation), and demographics (eg, check the youngest age for the stroke prevention), and facilitates documentation of SDM discussions and decisions. Methods: We conducted 13 semistructured interviews with clinicians who were recruited from 4 academic medical centers. Interviews included a demonstration of an initial, mid-fidelity, DEAN app prototype that was designed to address DA use and barriers described in the literature. The interviews focused on clinician context and use of the prototype, affordances and barriers to using the system, and clinician needs and requirements of the system. We used qualitative content analysis to code and reduce the data, using a consensus-making approach, and identify emerging themes. Results: We identified 3 overarching themes: (1) streamlined functionality may simplify workflow and decrease the burden of DA use and SDM; (2) clinicians need appropriate competencies to effectively use the Navigator and relevant DAs; and (3) trust that the Navigator suggests prevetted DAs. Unanimously, clinicians shared that the DEAN Navigator should be integrated into the EHR. To accomplish this clear priority, clinicians stated that they needed the requisite competencies to successfully use the tool within their workflow and build trust with the tool itself. Conclusions: Better tools to support and harness the benefits of SDM are needed. Overcoming the barriers of using DAs is paramount. Tools designed and developed to support DA use must be integrated into the EHR efficiently to create an opportunity for uptake of the technology by busy clinicians. If tools like DEAN can streamline the cumbersome process of documenting the use of DAs, more clinicians may potentially use DAs with their patients, given the right context and appropriate DA.

Indexed as

Decision Making, SharedDecision Support TechniquesNeeds AssessmentElectronic Health RecordsHumansQualitative Researchdecision aidfocus groupsqualitative researchshared decision-makinguser-centered design

Identifiers

PMID40840367
PMCPMC12370259

What OpenQuestion holds

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LicenceCC BY
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.