Evidence map›Paper›PMID 32865505›Full record

ArticleJMIR formative research2020

Investigation of a Mobile Health Texting Tool for Embedding Patient-Reported Data Into Diabetes Management (i-Matter): Development and Usability Study.

Antoinette Schoenthaler, Jocelyn Cruz, Leydi Payano, Marina Rosado, Kristen Labbe, Chrystal Johnson, Javier Gonzalez, Melissa Patxot, Smit Patel, Eric Leven and 1 more

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 9% 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.

NCT03652389 nacompletednot on this map

i-Matter: Investigating an mHealth Texting Tool for Embedding Patient-reported Data Into Diabetes Management

TypeinterventionalSponsorNYU Langone HealthRan2018 to 2024Enrolled246ConditionsType2 DiabetesArmsMJS Diabetes
NCT06835959 narecruitingnot on this mapstarted 2025, after this paper: background citation

Development of a Mobile Health Intervention to Improve Blood Pressure Management in Pregnancy (Moms@Home)

TypeinterventionalSponsorUniversity of Massachusetts, WorcesterRan2025 to 2027Enrolled100ConditionsHypertension in Pregnancy, Chronic Hypertension, Gestational HypertensionArmsMoms@Home, Enhanced Standard of Care
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

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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

11 authors.

Antoinette Schoenthaler *NYU Langone Health, Department of Population Health, Center for Healthful Behavior Change, New York, NY, United States.ORCID https://orcid.org/0000-0003-4905-5136
Jocelyn Cruz *NYU Langone Health, Department of Population Health, Center for Healthful Behavior Change, New York, NY, United States.ORCID https://orcid.org/0000-0001-5059-8870
Leydi Payano *NYU Langone Health, Department of Population Health, Center for Healthful Behavior Change, New York, NY, United States.ORCID https://orcid.org/0000-0002-0833-4166
Marina Rosado *NYU Langone Health, Department of Population Health, Center for Healthful Behavior Change, New York, NY, United States.ORCID https://orcid.org/0000-0002-3442-6144
Kristen Labbe *NYU Langone Health, Department of Population Health, Center for Healthful Behavior Change, New York, NY, United States.ORCID https://orcid.org/0000-0001-6731-5849
Chrystal Johnson *NYU Langone Health, Medical Center Information Technology Enterprise Project Management Office, New York, NY, United States.ORCID https://orcid.org/0000-0001-5247-5647
Javier Gonzalez *NYU Langone Health, Department of Population Health, Digital DesignLab, New York, NY, United States.ORCID https://orcid.org/0000-0002-7562-6070
Melissa Patxot *Rip Road, Inc, New York, NY, United States.ORCID https://orcid.org/0000-0002-1680-7541
Smit Patel *Rip Road, Inc, New York, NY, United States.ORCID https://orcid.org/0000-0001-7566-9524
Eric Leven *Rip Road, Inc, New York, NY, United States.ORCID https://orcid.org/0000-0003-4154-5843
Devin Mann *NYU Langone Health, Department of Population Health, Healthcare Innovation Bridging Research, Informatics and Design Lab, New York, NY, United States.ORCID https://orcid.org/0000-0002-2099-0852

Funding

i-Matter: Investigating an mHealth texting tool for embedding patient-reported data into diabetes managementR01HS026522 · AHRQ · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MANN, DEVIN M, SCHOENTHALER, ANTOINETTE M · 2018 to 2024
$2.7M
AHRQ HHS R01 HS026522
6 · The paper itself

Abstract

backgroundPatient-reported outcomes (PROs) are increasingly being used in the management of type 2 diabetes (T2D) to integrate data from patients' perspective into clinical care. To date, the majority of PRO tools have lacked patient and provider involvement in their development, thus failing to meet the unique needs of end users, and lack the technical infrastructure to be integrated into the clinic workflow.

objectiveThis study aims to apply a systematic, user-centered design approach to develop i-Matter (investigating a mobile health [mHealth] texting tool for embedding patient-reported data into diabetes management), a theory-driven, mobile PRO system for patients with T2D and their primary care providers.

methodsi-Matter combines text messaging with dynamic data visualizations that can be integrated into electronic health records (EHRs) and personalized patient reports. To build i-Matter, we conducted semistructured group and individual interviews with patients with T2D and providers, a design thinking workshop to refine initial ideas and design the prototype, and user testing sessions of prototypes using a rapid-cycle design (ie, design-test-modify-retest).

resultsUsing an iterative user-centered process resulted in the identification of 6 PRO messages that were relevant to patients and providers: medication adherence, dietary behaviors, physical activity, sleep quality, quality of life, and healthy living goals. In user testing, patients recommended improvements to the wording and timing of the PRO text messages to increase clarity and response rates. Patients also recommended including motivational text messages to help sustain engagement with the program. The personalized report was regarded as a key tool for diabetes self-management by patients and providers because it aided in the identification of longitudinal patterns in the PRO data, which increased patient awareness of their need to adopt healthier behaviors. Patients recommended adding individualized tips to the journal on how they can improve their behaviors. Providers preferred having a separate tab built into the EHR that included the personalized report and highlighted key trends in patients' PRO data over the past 3 months.

conclusionsPRO tools that capture patients' well-being and the behavioral aspects of T2D management are important to patients and providers. A clinical trial will test the efficacy of i-Matter in 282 patients with uncontrolled T2D.

trial registrationClinicalTrials.gov NCT03652389; https://clinicaltrials.gov/ct2/show/NCT03652389.

Indexed as

mobile healthpatient-reported outcome measurestype 2 diabetes

Identifiers

PMID32865505
PMCPMC7490676
OpenAlexW3045740207

What OpenQuestion 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 OpenQuestion graph.