Evidence map›Paper›PMID 32719880›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2020

Integrated displays to improve chronic disease management in ambulatory care: A SMART on FHIR application informed by mixed-methods user testing.

Rebecca L Curran, Polina V Kukhareva, Teresa Taft, Charlene R Weir, Thomas J Reese, Claude Nanjo, Salvador Rodriguez-Loya, Douglas K Martin, Phillip B Warner, David E Shields and 3 more

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  6. Pitfalls of reasoning in hospital-based transfusion medicine.Transfusion medicine (Oxford, England) · 2024
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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

13 authors.

Rebecca L CurranDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
Polina V KukharevaDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
Teresa TaftDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
Charlene R WeirDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
Thomas J ReeseDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
Claude NanjoDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
Salvador Rodriguez-LoyaDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
Douglas K MartinDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
Phillip B WarnerDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
David E ShieldsDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
Michael C FlynnCommunity Physicians Group, University of Utah, Salt Lake City, Utah, USA.
Jonathan P BoltaxDivision of Pulmonary and Critical Care, Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA.
Kensaku KawamotoDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.

Funding

Utah Stimulating Access to Research in Residency Transition Scholar (StARRTS)R38HL143605 · NHLBI · UNIVERSITY OF UTAH · PI CONROY, MARGARET B, OKUYEMI, KOLAWOLE S · 2018 to 2021
$1.3M
Scalable decision support and shared decision making for lung cancer screeningR18HS026198 · AHRQ · UNIVERSITY OF UTAH · PI KAWAMOTO, KENSAKU · 2019 to 2021
$1.2M
AHRQ HHS R18 HS026198NHLBI NIH HHS R38 HL143605
6 · The paper itself

Abstract

objectiveThe study sought to evaluate a novel electronic health record (EHR) add-on application for chronic disease management that uses an integrated display to decrease user cognitive load, improve efficiency, and support clinical decision making. MATERIALS AND

methodsWe designed a chronic disease management application using the technology framework known as SMART on FHIR (Substitutable Medical Applications and Reusable Technologies on Fast Healthcare Interoperability Resources). We used mixed methods to obtain user feedback on a prototype to support ambulatory providers managing chronic obstructive pulmonary disease. Each participant managed 2 patient scenarios using the regular EHR with and without access to our prototype in block-randomized order. The primary outcome was the percentage of expert-recommended ideal care tasks completed. Timing, keyboard and mouse use, and participant surveys were also collected. User experiences were captured using a retrospective think-aloud interview analyzed by concept coding.

resultsWith our prototype, the 13 participants completed more recommended care (81% vs 48%; P < .001) and recommended tasks per minute (0.8 vs 0.6; P = .03) over longer sessions (7.0 minutes vs 5.4 minutes; P = .006). Keystrokes per task were lower with the prototype (6 vs 18; P < .001). Qualitative themes elicited included the desire for reliable presentation of information which matches participants' mental models of disease and for intuitive navigation in order to decrease cognitive load. DISCUSSION: Participants completed more recommended care by taking more time when using our prototype. Interviews identified a tension between using the inefficient but familiar EHR vs learning to use our novel prototype. Concept coding of user feedback generated actionable insights.

conclusionsMixed methods can support the design and evaluation of SMART on FHIR EHR add-on applications by enhancing understanding of the user experience.

Indexed as

Decision Support Systems, ClinicalDisease ManagementElectronic Health RecordsHealth Information InteroperabilityAdultAmbulatory CareAttitude of Health PersonnelChronic DiseaseComputer GraphicsFaculty, MedicalFemaleHealth Information ExchangeHumansMaleMiddle AgedSoftwareclinicalcognitive loaddecision support systemselectronic health recordshuman-computer interactionSMART on FHIR

Identifiers

PMID32719880
PMCPMC7481023

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.