Evidence map›Paper›PMID 42254625›Full record

ReviewFrontiers in public health2026

From pilots to platforms: making digital health work for chronic disease management.

Do-Youn Lee, Dinesh Puri, Amit Kumar Gupta, Preeti Dnyandeo Sonje, Sorabh Lakhanpal, Sujeet Kumar Singh, Sanjay Kumar, Prashant Ramdas Kokiwar

Abstract readReview
In one paragraph

Review in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Do-Youn LeeCollege of General Education, Kookmin University, Seoul, Republic of Korea.
Dinesh PuriFaculty of Pharmaceutical Sciences, Graphic Era Hill University, Dehradun, India.
Amit Kumar GuptaDepartment of Radiology, School of Medical Sciences and Research, Sharda University, Greater Noida, India.
Preeti Dnyandeo SonjeDepartment of Anatomy, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth (Deemed-to-be-University), Pune, Maharashtra, India.
Sorabh LakhanpalSchool of Pharmaceutical Sciences, Lovely Professional University, Phagwara, India.
Sujeet Kumar SinghDepartment of Biotechnology, Noida Institute of Engineering and Technology (Pharmacy Institute), Greater Noida, India.
Sanjay KumarCentre for Research Impact and Outcome, Chitkara College of Pharmacy, Chitkara University, Rajpura, Punjab, India.
Prashant Ramdas KokiwarDepartment of Community Medicine, Malla Reddy Institute of Medical Sciences, Malla Reddy Vishwavidyapeeth, Hyderabad, Telangana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital health technologies are increasingly used in chronic disease management, yet the literature still shows a persistent gap between promising pilot projects and durable health-system value. This perspective argues that the central challenge is not a shortage of digital innovation, but inadequate care-grade integration: the extent to which digital tools are embedded within clinical workflows, workforce roles, reimbursement arrangements, interoperability, data governance, and patient support. Drawing on recent reviews, implementation studies, qualitative syntheses, and value-framework papers across chronic disease settings, we examine why uptake remains uneven and why apparently successful tools often fail to scale. Three themes recur. First, evaluations still overemphasize acceptability and adoption relative to clinical, service, and equity outcomes. Second, sustained use depends on workflow fit, burden, trust, and patient preferences rather than usability alone. Third, equity and governance are often treated as downstream considerations instead of core design constraints. We propose a care-grade roadmap built on operational co-design, theory-informed implementation, equity-first delivery, multidimensional value assessment, and learning health-system feedback loops. Digital chronic care is more likely to deliver durable benefit when technologies are designed, evaluated, and funded as components of service redesign rather than as stand-alone tools.

Indexed as

Digital HealthDisease ManagementChronic DiseaseHumansPilot ProjectsTelemedicinechronic disease managementdigital dividedigital healthimplementation sciencelearning health systemspatient-reported outcomestelehealth

Identifiers

PMID42254625
PMCPMC13236852

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.