Evidence map›Paper›PMID 37978811›Full record

ReviewJournal of diabetes science and technology2024

User-Centered Design of a Diabetes Self-Management Tool for Underserved Populations.

Samuel Bonet-Olivencia, Jesus Carrillo-Leal, Arjun Rao, Farzan Sasangohar

Abstract readReview
In one paragraph

Review in Journal of diabetes science and technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Observational
  10. Co-Creation in the Development of Digital Therapeutics: A Narrative Review.International journal of environmental research and public health · 2024
    Review
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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

4 authors.

Samuel Bonet-OlivenciaDepartment of Industrial and Systems Engineering, Texas A&M University, College Station, TX, USA.
Jesus Carrillo-LealDepartment of Industrial and Systems Engineering, Texas A&M University, College Station, TX, USA.ORCID 0009-0008-4614-2422
Arjun RaoDepartment of Industrial and Systems Engineering, Texas A&M University, College Station, TX, USA.
Farzan SasangoharDepartment of Industrial and Systems Engineering, Texas A&M University, College Station, TX, USA.ORCID 0000-0001-9962-5470

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUser-centered design (UCD) or user experience design (UXD) methods have gained recent popularity for the design of mobile health (mHealth) interventions. However, there is a gap in application of these methods for diabetes self-management. This study aims to document the UCD process for a self-management mobile application aimed for patients with diabetes in underserved communities.

methodsA UCD mixed-methods approach including interviews with patients and providers, a review of literature, and a technology landscape analysis were used to define the app functional information requirements that informed the user experience/user interface design process. Usability studies with the app designers and developers, intended users, and a focus group of nurse educators and dieticians were used to test and improve the design.

resultsAn mHealth app was developed with health-tracking features for stress, blood sugar, food, exercise, medications, weight, and blood pressure. We tackled a range of usability and user experience challenges, which encompassed addressing issues like low health literacy by employing a combination of user interface design principles, intuitive visualizations, customizable icons, seamless database integration, and automated data input features. Special attention was given to the design of educational content accounting for the intended users' cultural background and literacy levels.

conclusionsUser-centered design approach contributed to a better understanding of the intended users' needs, limitations, mental models, and expectations, facilitating the design of a comprehensive mobile app for patients with diabetes in underserved communities that includes essential features for self-management while providing a strong educational component, addressing an important gap in the literature.

Indexed as

Diabetes MellitusMobile ApplicationsSelf-ManagementHumansUser-Centered DesignVulnerable PopulationsdiabetesmHealthmobile applicationsself-managementunderserved populationsuser-centered design

Identifiers

PMID37978811
PMCPMC10899832

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.