Evidence map›Paper›PMID 37128464›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2022

Nutri: A Behavioral Science-Based Clinical Decision Support for Chronic Disease Management.

Marissa Burgermaster, Madalyn Rosenthal, William M Tierney, Brandon S Altillo, Eric Nordquist, Christina Enriquez, Steven Andrews, Caroline Klatt, Grant Daniels

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Article
  2. Review
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

9 authors.

Marissa BurgermasterUniversity of Texas at Austin, Austin, TX.
Madalyn RosenthalUniversity of Texas at Austin, Austin, TX.
William M TierneyDell Medical School, Austin, TX.
Brandon S AltilloDell Medical School, Austin, TX.
Eric NordquistUniversity of Texas at Austin, Austin, TX.
Christina EnriquezSentier Strategic Resources, Austin, TX.
Steven AndrewsDell Medical School, Austin, TX.
Caroline KlattUniversity of Texas at Austin, Austin, TX.
Grant DanielsDell Medical School, Austin, TX.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical decision support systems (CDSS) for the ongoing decision making required to support health behavior change for chronic disease management should incorporate behavioral science (e.g., a collaborative goal setting workflow) with more common CDSS components (i.e., an evidence-based knowledge base that processes patient data). Given known challenges with CDSS usability and adoption, engaging clinician end-users in designing new CDSS is vital. Therefore, we tested Nutri, a CDSS for collaborative diet goal setting, with 10 clinicians in a simulated primary care appointment with a patient actor. Simulation recordings, usability surveys, and debriefing interviews provided a multi-method view of clinicians' perceptions of Nutri's value and usability. 100% of participating clinicians achieved Nutri's main objective: selecting a high impact diet goal during a collaborative goal setting discussion with the patient; participants found Nutri usable, potentially timesaving, and increased their diet counseling self-efficacy. Insights will improve Nutri's usability and clinical workflow integration.

Indexed as

Decision Support Systems, ClinicalChronic DiseaseDisease ManagementHealth EducationHumansSurveys and Questionnaires

Identifiers

PMID37128464
PMCPMC10148289

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.