Evidence map›Paper›PMID 38261369›Full record

ArticleJMIR research protocols2024

Development and Testing of an Electronic Diabetes Diary Integrated With a Hospital Information System for Individuals With Type 2 Diabetes Mellitus: Protocol for a Mixed Methods Study.

Geena Skaria, Bhageerathy Reshmi, Sabu K M, Sahana Shetty, Vani Lakshmi R

Abstract read
In one paragraph

Article in JMIR research protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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.

Geena Skaria *Department of Health Information Management, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, India.ORCID https://orcid.org/0009-0008-9248-4853
Bhageerathy Reshmi *Department of Health Information Management, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, India.ORCID https://orcid.org/0000-0001-9631-6218
Sabu K M *Department of Health Information Management, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, India.ORCID https://orcid.org/0000-0002-6673-060X
Sahana Shetty *Department of Endocrinology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India.ORCID https://orcid.org/0000-0003-0851-0411
Vani Lakshmi R *Department of Data Science, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India.ORCID https://orcid.org/0000-0003-2473-5311

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (T2DM) is one of the leading noncommunicable diseases that require diabetes self-management (DSM) practices. This study proposes to develop a customized mobile health (mHealth) app integrated with a hospital information system (HIS) to enable real-time, two-way transfer of information between the patient and physician. The captured information in the electronic health record will facilitate physicians to have a chronological account of the patient's diabetes history and enable tweaking of the treatment.

objectiveThe objectives of the study are (1) to develop the HIS-integrated Electronic Diabetes Diary (EDDy) per the end-user expectations at a tertiary care hospital in a south Indian state with a high prevalence of T2DM and (2) to evaluate and test adherence to EDDy in the management of T2DM.

methodsThe study will be carried out in 3 phases. Phase 1 involved in-depth interviews with primary end users to gather information regarding their expectations from the hospital-based EDDy. Phase 2 will use this information to develop a customized mHealth app using an iterative model of software development. Phase 3 will involve a pre- and posttest design; the developed app will be tested among consenting patients, where physicians will receive the patients' data through the HIS-integrated mHealth app. The pre- and posttest values will be analyzed for adherence leading to improvement in patients' self-management of blood glucose, user experience, glycemic control, and clinical utility.

resultsPhase 1 was completed on November 28, 2023. Phase 2 commenced in December 2023 and will end in May 2025. Phase 3 will follow afterward.

conclusionsThe proposed app will include a convenient and simple alert system that enables the patient to test glucose values at self-selected intervals, provide grading options to enter diabetic-related complications, enhance patients' knowledge of tracking and managing the complications of diabetes, and help in maintaining the visual representation of glucose values and complications. The simplicity and usability of the modules are its novelty, which may motivate the patients to keep track of their glucose values and help them attain better health outcomes.

trial registrationClinical Trial Registry India CTRI/2023/03/051077; http://tinyurl.com/4tau4ndb. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/50732.

Indexed as

diabetes self-managementdigital healthDSMelectronic diabetes diaryglycemic controlpatient adherencepersonal health recordsself-management of blood glucoseSMBG

Identifiers

PMID38261369
PMCPMC10848138

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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.