Evidence map›Paper›PMID 40948670›Full record

ReviewWorld journal of diabetes2025

Digital health for rural diabetes care: Implementation experience from China and India.

Alon Rasooly, David Beran, Peng-Peng Ye, Surabhi Joshi, Xue-Jun Yin, Nikhil Tandon, Rui-Tai Shao

Abstract readReview
In one paragraph

Review in World journal of diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

7 authors.

Alon RasoolyDepartment of Health Policy and Systems Management, School of Public Health, Ben-Gurion University, Beersheba 8410501, Israel. rasooly@post.bgu.ac.il.
David BeranDivision of Tropical and Humanitarian Medicine, Faculty of Medicine, University of Geneva and Geneva University Hospitals, Geneva CH-1211, Switzerland.
Peng-Peng YeNational Centre for Chronic and Noncommunicable Disease Control and Prevention, Chinese Centre for Disease Control and Prevention, Beijing 100050, China.
Surabhi JoshiDepartment of Noncommunicable Diseases, Disability and Rehabilitation, The World Health Organization, Geneva 1211, Switzerland.
Xue-Jun YinSchool of Public Health, Jiangxi Medical College, Nanchang University, Nanchang 330006, Jiangxi Province, China.
Nikhil TandonDepartment of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi 110029, Delhi, India.
Rui-Tai ShaoSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Diabetes affects an estimated 828 million people globally, with approximately 44% living in China and India. Rural residents with diabetes in these countries face significant challenges in access to care. Although digital health interventions are increasingly used to reach underserved populations, considerable knowledge gaps exist. This mini-review presents the first comparative analysis of digital health implementations for diabetes care in rural China and India, comprising clinical decision support tools, telemedicine, and mobile health applications. The review examines how their distinct health system structures influence technology adoption and clinical outcomes. China's hierarchical administrative structure facilitates standardized nationwide platforms with consistent protocols, while India's federal system enables diverse localized innovations that accommodate regional diversity. Cluster-randomized trials for digital health tools in rural China show significant improvements in glycemic control. In India, interventions examined in this review were associated with improved health behaviors and medication adherence. Both countries demonstrate that digital interventions leveraging existing social structures and co-created with stakeholders yield better outcomes than standard care approaches. This analysis provides actionable insights for policymakers globally while identifying valuable opportunities for knowledge exchange between these two nations that together are home to nearly half of all people living with diabetes worldwide.

Indexed as

ChinaCo-creationDiabetesDigital healthIndiaRural healthcareTask-sharing

Identifiers

PMID40948670
PMCPMC12432586

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.