Evidence map›Paper›PMID 37255839›Full record

ArticleJournal of diabetes and metabolic disorders2023

Design, development, and usability evaluation of a smartphone-based application for nutrition management in patients with type II diabetes.

Ehsan Nabovati, Fatemeh Rangraz Jeddi, Seyed Mashallah Tabatabaeizadeh, Rahele Hamidi, Reihane Sharif

Open access · greenAbstract read
In one paragraph

Article in Journal of diabetes and metabolic disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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  4. A stacked ensemble machine learning approach for the prediction of diabetes.Journal of diabetes and metabolic disorders · 2024
    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

5 authors at 1 institution in 2 countries.

Ehsan NabovatiHealth Information Management Research Center, Department of Health Information Management and Technology, School of Allied Health Professions, Kashan University of Medical Sciences, Pezeshk Blvd, 5th of Qotbe Ravandi Blvd - Pardis Daneshgah, Kashan, IR Iran.
Fatemeh Rangraz JeddiHealth Information Management Research Center, Department of Health Information Management and Technology, School of Allied Health Professions, Kashan University of Medical Sciences, Pezeshk Blvd, 5th of Qotbe Ravandi Blvd - Pardis Daneshgah, Kashan, IR Iran.
Seyed Mashallah TabatabaeizadehDepartment of Internal Medicine, School of Medicine, Kashan University of Medical Sciences, Kashan, IR Iran.
Rahele HamidiHealth Information Management Research Center, Department of Health Information Management and Technology, School of Allied Health Professions, Kashan University of Medical Sciences, Pezeshk Blvd, 5th of Qotbe Ravandi Blvd - Pardis Daneshgah, Kashan, IR Iran.ORCID 0000-0002-9857-9633
Reihane SharifHealth Information Management Research Center, Department of Health Information Management and Technology, School of Allied Health Professions, Kashan University of Medical Sciences, Pezeshk Blvd, 5th of Qotbe Ravandi Blvd - Pardis Daneshgah, Kashan, IR Iran.
Kashan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Information technology (IT)-based interventions, especially mobile health (mHealth), possess a great potential for promoting self-management in patients with chronic diseases, including diabetes type II. The present study was aimed to design and develop a smartphone-based application (app) for nutrition management in patients with type II diabetes and evaluation of its usability. Methods: In this study, a three-phase research approach was followed; (1) To determine the information content and functionalities of the app, a five-point Likert scale checklist including six parts was developed based on reviews of clinical practice guidelines and specialized databases. The checklist was then given to ten experts in endocrinology and metabolism, internal medicine, and nutrition, and those items with a mean score higher than 3.75 were approved. (2) In Android Studio, the app was designed and developed using Java language. (3) The Questionnaire for User Interaction Satisfaction (QUIS) was used to assess the app's usability by 21 patients with type II diabetes, ten IT experts, and seven endocrinologists, internal medicine practitioners, and nutritionists over one month. Mean scores were divided into three levels: weak (0-3), average (3-6), and good (6-9). Results: According to experts' view, 17 out of 22 educational content and 17 out of 27 functionalities were approved. The app's most important educational content was the timing of meals for insulin patients and the definition of diabetes and its complications. The designed app had the following functionalities: providing educational information, recording information, performing calculations, representing data graphically, setting reminders, and communicating with physicians. The most important features of the app were the insulin dose calculation, reminders for doctors' appointments, setting times for tests and blood glucose measurements, and also tracking weight, blood glucose levels, and blood pressure. In terms of usability evaluation, the app was rated "good" level by diabetic patients (7.83 ± 0.74), IT experts (8.1 ± 0.66), and physicians (8.03 ± 0.95). Conclusion: Given the desirable evaluation of the app by patients, physicians, and IT experts, it can be concluded that the developed app has the required functionalities for nutrition management of patients with type II diabetes. Smartphone-based apps appear to be able to improve self-management, the quality of care and health in patients with diabetes, and reduce many of their unnecessary visits to healthcare centers, and costs. Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-022-01140-x.

Indexed as

Diabetes type IIMobile ApplicationNutritionSmartphoneUsability

Identifiers

PMID37255839
PMCPMC10225392
OpenAlexW4307911814

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.