# Emerging digital health approaches for the detection of undiagnosed type 2 diabetes mellitus in underserved populations: A scoping review
> Sulfikar A.

URL kanonis: https://discover.unhas.ac.id/publications/pub_scopus_105038614697
Jurnal / Konferensi: Nursing Practice Today
Tahun terbit: 2026
DOI: https://doi.org/10.18502/npt.v13i2.21464
ISSN: 23831154
Kuartil SJR: Q2
Citations: 1

## Authors
- Sulfikar A.

## Abstract
Background & Aim: Undiagnosed type 2 diabetes mellitus continues to pose a major global health challenge, especially in underserved populations facing limited access to screening. Digital health technologies present scalable alternatives to improve early detection and prevent complications. This scoping review aims to map digital health approaches for detecting undiagnosed type 2 diabetes mellitus in underserved adult communities and analyze screening outcomes, feasibility, and key implementation factors. Materials & Methods: The review followed the Arksey and O’Malley scoping framework and was reported using PRISMA-ScR guidelines. Systematic searches were performed in PubMed/MEDLINE, Scopus, Web of Science, and CINAHL for studies published in English from 2015 onward. Two reviewers independently screened articles, with conflicts resolved through consensus. Data were synthesized narratively to identify digital modalities, screening strategies, effectiveness indicators, and enablers or barriers. Results: Nineteen studies were included, identifying five categories of digital interventions. Electronic health record–driven screening was reported in 5 of 19 studiesand was the most frequently reported modality, alongside mHealth applications, SMS-based detection support, telehealth platforms, and wearable tools. Digital risk-based screening integrated within community or primary care pathways demonstrated the widest reach and highest identification of undiagnosed dysglycemia. Simpler digital solutions showed greater acceptability and feasibility than complex systems, particularly in settings with limited digital literacy or connectivity. Conclusion: Digital health technologies show strong potential to expand early detection of undiagnosed type 2 diabetes mellitus in underserved populations. System-integrated, low-burden, and equity-centered screening models are most promising. Strengthening linkage to care and improving digital accessibility remainpriorities for future research.

## Keywords
- Digital health
- Telehealth
- Type 2 Diabetes Mellitus
- mHealth
- Medicine
- CINAHL
- eHealth
- Telemedicine
- Health care
- Family medicine
- Identification (biology)
- MEDLINE
- Nursing
- Digital divide
- Type 2 diabetes
- Wearable computer
- Gerontology
- Health equity
- Medical education
- Digital literacy
- Health technology
- Global health
- Wearable technology
- Primary care

---
Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
Saat mengutip, gunakan DOI bila tersedia atau URL kanonis di atas.