ArticleFrontiers in digital health2026
An efficiency assessment of digital technology empowering healthy aging in China: an empirical study of the "internet plus nursing services" pilot program based on the DEA model.
Article in Frontiers in digital 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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper is rooted in the Chinese context and focuses on "the empowerment of health and older adults' care through digital technology" as its core topic. It aims to systematically evaluate the quantitative impact of digital technologies such as wearable devices and telemedicine on the efficiency and cost control of health and care services for older adults in China. This study adopts an empirical research approach that focuses primarily on quantitative analysis, supplemented by evidence from contextual case studies. First, through a contextual analysis of pilot cases involving "Internet Plus Nursing Services," the study provides an in-depth examination of the practical application models and bottlenecks associated with the use of smart devices in monitoring older adults' activities of daily living (ADL), thereby providing a practical basis for the development of quantitative indicators. Second, using SPSS multi-option analysis, it quantifies the digital needs of various types of older adult care services, including home, community, and institutional care, and constructs a Data Envelopment Analysis (DEA) model to measure technological input and output efficiency. Empirical results show that applying digital technology can, on average, improve service response efficiency by approximately 25% and reduce operating costs by 15%-20% in specific scenarios. Still, bottlenecks such as "data silos" and insufficient age-friendliness exist. Finally, it prospectively analyses the development prospects of blockchain technology, ensuring secure, trusted data circulation and AI-driven, personalized health management, and proposes a transformation path of "technology integration-model innovation-institutional synergy." This study provides empirical evidence and decision-making guidance to optimize resource allocation for digital care for older adults and improve overall service quality.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.