Evidence map›Paper›PMID 36644662›Full record

ArticleDigital health

Developing and testing an integrated patient mHealth and provider dashboard application system for type 2 diabetes management among Medicaid-enrolled pregnant individuals based on a user-centered approach: Mixed-methods study.

Naleef Fareed, Christine Swoboda, Priti Singh, Emma Boettcher, Yiting Wang, Kartik Venkatesh, Robert Strouse

Open access · goldAbstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 4% 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.

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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 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

7 authors at 2 institutions in 1 country.

Naleef FareedCATALYST - The Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Institute for Behavioral Medicine Research, Columbus, OH, USA.ORCID https://orcid.org/0000-0001-8764-1625
Christine SwobodaCATALYST - The Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Institute for Behavioral Medicine Research, Columbus, OH, USA.
Priti SinghCATALYST - The Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Institute for Behavioral Medicine Research, Columbus, OH, USA.
Emma BoettcherDepartment of Research Information Technology, College of Medicine, The Ohio State University, Columbus, OH, USA.
Yiting WangDepartment of Research Information Technology, College of Medicine, The Ohio State University, Columbus, OH, USA.
Kartik VenkateshDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, The Ohio State University, Columbus, OH, USA.
Robert StrouseDepartment of Research Information Technology, College of Medicine, The Ohio State University, Columbus, OH, USA.
The Ohio State University · USInstitute for Behavioral Medicine · US

Funding

ACHIEVE: Successfully achieving and maintaining euglycemia during pregnancy for type 2 diabetes through technology and coachingR01HS028822 · AHRQ · OHIO STATE UNIVERSITY · PI FAREED, NALEEF, JOSEPH, JOSHUA J · 2022 to 2024
$1.2M
AHRQ HHS R01 HS028822
6 · The paper itself

Abstract

Background: A tailored and integrated technology solution (patient mHealth application and provider dashboard) can provide a 360° view of Medicaid-enrolled patients with type 2 diabetes (T2D) during pregnancy that could improve health outcomes and address health inequities. Objectives: To develop a set of user specifications for the mHealth and dashboard applications, develop prototypes based on user needs, and collect initial impressions of the prototypes to subsequently develop refined tools that are ready for deployment. Methods: Study activities followed a double-diamond framework with a participatory design mindset. Activities were divided into two phases focused on a qualitative inquiry about participant needs and values (phase 1) and design, development, and usability testing of low and high-fidelity prototypes (phase 2). Results: We identified themes that exemplified pregnancy experience among Medicaid-enrolled individuals with T2D. Patients ( Conclusions: Digital health tools have the ability to transform health care among Medicaid-enrolled patients with T2D during pregnancy, with the goal of managing their blood glucose levels, which is a precursor to experiencing a successful pregnancy and birth. Distilling patient and provider needs and preferences-then using them, along with prior studies and theory, to develop applications-holds great potential in tackling complicated health care issues.

Indexed as

dashboarddiabetes managementmHealthmixed-methodmobile applicationPregnancyuser-centered

Identifiers

PMID36644662
PMCPMC9834416
OpenAlexW4316686799

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.