Evidence map›Paper›PMID 39080764›Full record

ArticleDiabetology & metabolic syndrome2024

Identification of challenges and leveraging mHealth technology, with need-based solutions to empower self-management in type 2 diabetes: a qualitative study.

Sherize Merlin Dsouza, Julien Venne, Sahana Shetty, Helmut Brand

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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3 · Its place in the literature

Who cites it

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

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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.

Sherize Merlin DsouzaDepartment of Health Policy, Prasanna School of Public Health, Sherize Merlin Dsouza, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Julien VenneSocial and Health Innovation, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Sahana ShettyDepartment of Endocrinology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Helmut BrandDepartment of Health Policy, Prasanna School of Public Health, Sherize Merlin Dsouza, Manipal Academy of Higher Education, Manipal, Karnataka, India. helmut.brand@manipal.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEffective diabetes management relies mainly on an individual's ability to perform self-care tasks. However, this process is influenced by a complex interplay of factors. This study explores the multifaceted influences on Diabetes Self-Management (DSM), examining both factors influencing and affecting DSM. Understanding these influences is crucial for developing targeted Digital Health Interventions that empower individuals with diabetes to achieve successful self-management.

objectivesTo identify problems faced by Type 2 Diabetes Mellitus (T2DM) individuals in self-managing diabetes and leveraging mHealth technology, with need-based solutions to Empower Self-Management in T2DM. METHODOLOGY: In-depth semi-structured interviews were conducted among ten patients with T2DM visiting the outpatient department of a tertiary care hospital in coastal Karnataka. Additionally, six healthcare professionals (HCPs) working closely with T2DM patients were interviewed to understand their perspectives on using mHealth to manage T2DM effectively. The themes for the solutions described were analyzed using ATLAS-TI software.

resultsOur research examined certain factors that might have influenced effective diabetes self-management and investigated patient perspectives on using digital health solutions in diabetes self-management. This study found that technology skills, duration of diabetes, knowledge, and personal beliefs were all significant factors affecting self-management in participants with T2DM. Additionally, socioeconomic factors were also seen to influence effective diabetes self-management. The Google search engine was used by 50% of the participants interviewed to learn about T2DM. Diet management through Google searches was used by a minority (30%) of the patients. None of the participants had previously used any mobile health applications (mHealth apps) to manage T2DM. 20% of the participants expressed limited knowledge about using smartphones or wearables to track health parameters. The study also identified potential non-technological barriers to mHealth adoption. To address these concerns, researchers used an empathy map to develop solutions that promote mHealth use.

conclusionSeveral challenges and need-based mHealth solutions were identified to empower diabetes self-management education among T2DM patients. Implementing need-based mHealth solutions such as data tracking, personalized feedback, and access to educational resources can lead to better disease control and a higher quality of life for those with T2DM. Further research and development in mHealth interventions, and collaborative efforts among healthcare providers, patients, and technology developers, hold a promising future for the healthcare sector in providing efficient, effective, and accessible care.

Indexed as

Diabetes self-managementDigital health solutionsmHealth solutionsType 2 diabetes

Identifiers

PMID39080764
PMCPMC11288030

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LicenceCC BY
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Registered trials

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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.