Journal of the ASEAN Federation of Endocrine Societies
February 25, 2026 · via Europe PMC
Addressing Unmet Needs in the Management of Diabetes in Asia and Enhancing Diabetes Care Through the Use of Digital Technology: An Expert Opinion.
Gardner DS, Mader JK, Kalra S, Kopp I, Saboo B, Sugimoto K, Villa M, Bajpai S.
AI summary — for doctors, generated from the abstract only
This expert opinion piece from a panel representing multiple Asian countries outlines key regional barriers to diabetes care-such as access, affordability, and underuse of digital tools-and proposes policy and practical recommendations, including digital and AI-enabled care, to address them.
What was studied
An expert opinion article, based on a panel of diabetes specialists from India, Japan, South Korea, the Philippines, Singapore, Australia, and Austria, reviewed regional barriers to diabetes management across Asia, compared national practices, and proposed strategies to improve diabetes care delivery, including through digital technology.
Key findings
- Key gaps identified included limited healthcare access, affordability concerns, limited healthcare workforce capacity, poor guideline adherence, cultural influences, and underuse of digital tools.
- The panel examined region-specific approaches and highlighted effective care models from Singapore, India, Japan, the Philippines, China, Malaysia, Indonesia, Thailand, and South Korea.
- Recommendations focused on insurance expansion, digital and AI-enabled care, workforce strengthening, and community-based programs.
- The panel concluded that tailored, region-specific, and technology-enabled strategies are needed to address both systemic and economic barriers to diabetes care across Asia.
Clinical relevance
This expert opinion piece offers policy-level and practice-level recommendations that could help health systems and policymakers across Asia design more effective, accessible diabetes care programs, including leveraging digital and AI tools, though it reflects expert consensus rather than new trial evidence.
Who should care
Limitations
As an expert opinion/consensus article rather than a primary research study, its recommendations are based on panel discussion and synthesis of existing regional practices rather than new controlled data; Important limitations may not be assessable from the abstract alone.
A panel of Asian diabetes experts outlines region-specific barriers to diabetes care and recommends digital health, insurance expansion, and workforce strategies to improve access and management across the continent.
This is an AI-generated summary of the published abstract, not a clinical recommendation. It may not reflect the full text or subsequent updates — verify against the original source before acting on it.
Abstract
Background
Asia faces a growing diabetes burden compounded by low awareness, limited access, affordability concerns, and heterogeneous care practices. These challenges hinder consistent management across the region.
Methodology
An expert panel representing India, Japan, South Korea, the Philippines, Singapore, Australia and Austria reviewed regional barriers, compared national practices, and proposed feasible strategies for improvement.
Results
Key gaps included healthcare access, affordability, limited workforce capacity, poor adherence to guidelines, cultural influences and underuse of digital tools. Experts examined region-specific approaches, highlighting effective models from Singapore, India, Japan, the Philippines, China, Malaysia, Indonesia, Thailand and South Korea.
Discussion
Synthesised insights yielded policy-oriented and practical recommendations, focusing on insurance expansion, digital and AI-enabled care, workforce strengthening, and community-based programs to enhance diabetes care delivery.
Conclusion
Tailored, region-specific and technology-enabled strategies addressing systemic and economic barriers are vital to strengthen diabetes management across Asia.
DOI
10.15605/jafes.041.01.5209
PMID
42311545
PMCID
PMC13269387
Research metadata (titles, abstracts, authors, publication dates) is sourced from Europe PMC, which aggregates content from PubMed/MEDLINE, PubMed Central, and other providers under the U.S. National Library of Medicine (NLM/NCBI). NLM does not claim copyright on abstracts; the original journal publishers or authors may hold rights to the full articles. AI-generated summaries are derived only from the abstract, never the full text, and are always labeled as AI-generated.
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