Evidence mapPaperPMID 33560240Full record

ArticleJMIR research protocols2021

Effectiveness of an Integrated Engagement Support System to Facilitate Patient Use of Digital Diabetes Prevention Programs: Protocol for a Randomized Controlled Trial.

Katharine Lawrence, Danissa V Rodriguez, Dawn M Feldthouse, Donna Shelley, Jonathan L Yu, Hayley M Belli, Javier Gonzalez, Sumaiya Tasneem, Jerlisa Fontaine, Lisa L Groom and 5 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04049500 (An Observational Study to Adapt a Digital Diabetes Prevention Program), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.8field-weighted citation impact, top 7% 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.

NCT04049500 withdrawnnot on this map

An Observational Study to Adapt a Digital Diabetes Prevention Program (dDPP) and Incorporate it Into the Clinical Workflows.

TypeobservationalSponsorNYU Langone HealthRan2021 to 2026Enrolled0ConditionsPhysician-Patient Relations, Nurse-Patient RelationsArmsDigital Diabetes Prevention Program (dDPP)
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. 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

15 authors at 2 institutions in 1 country.

Katharine LawrenceHealthcare Innovation Bridging Research, Informatics, and Design Lab, Department of Population Health, NYU Langone Health, New York, NY, United States.ORCID https://orcid.org/0000-0001-5640-2138
Danissa V RodriguezHealthcare Innovation Bridging Research, Informatics, and Design Lab, Department of Population Health, NYU Langone Health, New York, NY, United States.ORCID https://orcid.org/0000-0003-4642-6798
Dawn M FeldthouseClinical Systems & Clinical Transformation, Medical Center Information Technology Clinical Informatics Department, NYU Langone Health, New York, NY, United States.ORCID https://orcid.org/0000-0002-9722-7310
Donna ShelleyDepartment of Population Health, NYU Langone Health, New York, NY, United States.ORCID https://orcid.org/0000-0003-1677-2577
Jonathan L YuHealthcare Innovation Bridging Research, Informatics, and Design Lab, Department of Population Health, NYU Langone Health, New York, NY, United States.ORCID https://orcid.org/0000-0003-3046-6349
Hayley M BelliDivision of Biostatistics, Department of Population Health, NYU Langone Health, New York, NY, United States.ORCID https://orcid.org/0000-0002-0816-6844
Javier GonzalezHealthcare Innovation Bridging Research, Informatics, and Design Lab, Department of Population Health, NYU Langone Health, New York, NY, United States.ORCID https://orcid.org/0000-0002-7562-6070
Sumaiya TasneemHealthcare Innovation Bridging Research, Informatics, and Design Lab, Department of Population Health, NYU Langone Health, New York, NY, United States.ORCID https://orcid.org/0000-0001-5721-1819
Jerlisa FontaineHealthcare Innovation Bridging Research, Informatics, and Design Lab, Department of Population Health, NYU Langone Health, New York, NY, United States.ORCID https://orcid.org/0000-0002-2253-5909
Lisa L GroomNYU Rory Meyers College of Nursing, New York, NY, United States.ORCID https://orcid.org/0000-0002-7075-0216
Son LuuHealthcare Innovation Bridging Research, Informatics, and Design Lab, Department of Population Health, NYU Langone Health, New York, NY, United States.ORCID https://orcid.org/0000-0002-5607-0396
Yinxiang WuDivision of Biostatistics, Department of Population Health, NYU Langone Health, New York, NY, United States.ORCID https://orcid.org/0000-0001-7806-6999
Kathleen M McTigueDivision of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0002-0752-1576
Bonny Rockette-WagnerDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0002-4096-917X
Devin M MannHealthcare Innovation Bridging Research, Informatics, and Design Lab, Department of Population Health, NYU Langone Health, New York, NY, United States.ORCID https://orcid.org/0000-0002-2099-0852
NYU Langone Health · USUniversity of Pittsburgh · US

Funding

AHRQ HHS T32 HS026120NIDDK NIH HHS R18 DK118545
6 · The paper itself

Abstract

backgroundDigital diabetes prevention programs (dDPPs) are effective behavior change tools to prevent disease progression in patients at risk for diabetes. At present, these programs are poorly integrated into existing health information technology infrastructure and clinical workflows, resulting in barriers to provider-level knowledge of, interaction with, and support of patients who use dDPPs. Tools that can facilitate patient-provider interaction around dDPPs may contribute to improved patient engagement and adherence to these programs and improved health outcomes.

objectiveThis study aims to use a rigorous, user-centered design (UCD) methodology to develop a theory-driven system that supports patient engagement with dDPPs and their primary care providers with their care.

methodsThis study will be conducted in 3 phases. In phase 1, we will use systematic UCD, Agile software development, and qualitative research methods to identify key user (patients, providers, clinical staff, digital health technologists, and content experts) requirements, constraints, and prioritization of high-impact features to design, develop, and refine a viable intervention prototype for the engagement system. In phase 2, we will conduct a single-arm feasibility pilot of the engagement system among patients with prediabetes and their primary care providers. In phase 3, we will conduct a 2-arm randomized controlled trial using the engagement system. Primary outcomes will be weight, BMI, and A

resultsThe project was initiated in 2018 and funded in September 2019. Enrollment and data collection for phase 1 began in September 2019 under an Institutional Review Board quality improvement waiver granted in July 2019. As of December 2020, 27 patients have been enrolled and first results are expected to be submitted for publication in early 2021. The study received Institutional Review Board approval for phases 2 and 3 in December 2020, and phase 2 enrollment is expected to begin in early 2021.

conclusionsOur findings will provide guidance for the design and development of technology to integrate dDPP platforms into existing clinical workflows. This will facilitate patient engagement in digital behavior change interventions and provider engagement in patients' use of dDPPs. Integrated clinical tools that can facilitate patient-provider interaction around dDPPs may contribute to improved patient adherence to these programs and improved health outcomes by addressing barriers faced by both patients and providers. Further evaluation with pilot testing and a clinical trial will assess the effectiveness and implementation of these tools.

trial registrationClinicalTrials.gov NCT04049500; https://clinicaltrials.gov/ct2/show/NCT04049500. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/26750.

Indexed as

diabetes preventioneHealthmHealthmobile healthmobile phonetype 2 diabetes mellitus

Identifiers

PMID33560240
PMCPMC7902197
OpenAlexW3120393817

What Socratic 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 Socratic graph.