Evidence map›Paper›PMID 38771622›Full record

ArticleJournal of medical Internet research2024

User-Centered Framework for Implementation of Technology (UFIT): Development of an Integrated Framework for Designing Clinical Decision Support Tools Packaged With Tailored Implementation Strategies.

Jessica Ray, Emily Benjamin Finn, Hollyce Tyrrell, Carlin F Aloe, Eliana M Perrin, Charles T Wood, Dean S Miner, Randall Grout, Jeremy J Michel, Laura J Damschroder and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05627011 (Dissemination and Implementation of Decision Support for the Management of Overweight and Obesity in Pediatric Primary Care - Improving Pediatric Obesity Practice Using Prompts), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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.

NCT05627011 nacompletednot on this map

Dissemination and Implementation of Decision Support for the Management of Overweight and Obesity in Pediatric Primary Care - Improving Pediatric Obesity Practice Using Prompts

TypeinterventionalSponsorYale UniversityRan2023 to 2024Enrolled58,364ConditionsObesity, ChildhoodArmsImproving Pediatric Obesity Practice Using Prompts (iPOP-UP)
3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

11 authors.

Jessica RayDepartment of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, United States.ORCID 0000-0003-3410-1507
Emily Benjamin FinnDepartment of Pediatrics, Yale University School of Medicine, New Haven, CT, United States.ORCID 0000-0003-0524-8702
Hollyce TyrrellAcademic Pediatric Association, McLean, VA, United States.ORCID 0000-0002-9292-9508
Carlin F AloeDepartment of Pediatrics, Yale University School of Medicine, New Haven, CT, United States.ORCID 0009-0007-6884-6642
Eliana M PerrinDepartment of Pediatrics, Johns Hopkins University School of Medicine and School of Nursing, Baltimore, MD, United States.ORCID 0000-0002-4016-3328
Charles T WoodDepartment of Pediatrics, Duke University School of Medicine, Durham, NC, United States.ORCID 0000-0002-6884-8265
Dean S MinerDepartments of Pediatrics and Internal Medicine, East Carolina University, Greenville, NC, United States.ORCID 0000-0002-2466-494X
Randall GroutDepartment of Pediatrics, Indiana University School of Medicine and Regenstrief Institute, Indianapolis, IN, United States.ORCID 0000-0002-2911-6782
Jeremy J MichelDepartment of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.ORCID 0000-0001-7262-630X
Laura J DamschroderImplementation Pathways, LLC and Veterans Affairs Center for Clinical Management Research, Ann Arbor, MI, United States.ORCID 0000-0002-3657-8459
Mona SharifiDepartment of Pediatrics, Yale University School of Medicine, New Haven, CT, United States.ORCID 0000-0002-1632-7038

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Implementation of Decision Support for the Management of Obesity in a National Pediatric Primary Care Research NetworkR01MD014853 · NIMHD · YALE UNIVERSITY · PI SHARIFI, MAHNOOSH · 2020 to 2024
$3.9M
NCATS NIH HHS UL1 TR001863NIMHD NIH HHS R01 MD014853
6 · The paper itself

Abstract

backgroundElectronic health record-based clinical decision support (CDS) tools can facilitate the adoption of evidence into practice. Yet, the impact of CDS beyond single-site implementation is often limited by dissemination and implementation barriers related to site- and user-specific variation in workflows and behaviors. The translation of evidence-based CDS from initial development to implementation in heterogeneous environments requires a framework that assures careful balancing of fidelity to core functional elements with adaptations to ensure compatibility with new contexts.

objectiveThis study aims to develop and apply a framework to guide tailoring and implementing CDS across diverse clinical settings.

methodsIn preparation for a multisite trial implementing CDS for pediatric overweight or obesity in primary care, we developed the User-Centered Framework for Implementation of Technology (UFIT), a framework that integrates principles from user-centered design (UCD), human factors/ergonomics theories, and implementation science to guide both CDS adaptation and tailoring of related implementation strategies. Our transdisciplinary study team conducted semistructured interviews with pediatric primary care clinicians and a diverse group of stakeholders from 3 health systems in the northeastern, midwestern, and southeastern United States to inform and apply the framework for our formative evaluation.

resultsWe conducted 41 qualitative interviews with primary care clinicians (n=21) and other stakeholders (n=20). Our workflow analysis found 3 primary ways in which clinicians interact with the electronic health record during primary care well-child visits identifying opportunities for decision support. Additionally, we identified differences in practice patterns across contexts necessitating a multiprong design approach to support a variety of workflows, user needs, preferences, and implementation strategies.

conclusionsUFIT integrates theories and guidance from UCD, human factors/ergonomics, and implementation science to promote fit with local contexts for optimal outcomes. The components of UFIT were used to guide the development of Improving Pediatric Obesity Practice Using Prompts, an integrated package comprising CDS for obesity or overweight treatment with tailored implementation strategies.

trial registrationClinicalTrials.gov NCT05627011; https://clinicaltrials.gov/study/NCT05627011.

Indexed as

Decision Support Systems, ClinicalChildElectronic Health RecordsHumansPrimary Health CareUser-Centered Designchildchildrenclinical decision supportdecision supportdesigndevelopdevelopmentdigital healthframeworkframeworksguidanceguidelineguidelineshealth technologieshealth technologyhuman factorsimplementationimplementation scienceneedneedsobeseobesityoverweightpediatricpediatricsprimary caretailortailoringuser-centereduser-centered designweight

Identifiers

PMID38771622
PMCPMC11150893

What OpenQuestion holds

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LicenceCC BY
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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.