Evidence map›Paper›PMID 41846845›Full record

ArticleFrontiers in public health2026

Research on the path of high-quality development of the smart health and aging care industry driven by digital economy- dynamic QCA analysis based on TOE framework.

Xinhua Tan, Xiaobing Shu

Abstract read
In one paragraph

Article 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

2 authors.

Xinhua TanSchool of Public Administration, Central China Normal University, Wuhan, Hubei, China.
Xiaobing ShuSchool of Public Administration, Central China Normal University, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The digital economy has become a important driver for the high-quality development of industry. Exploring its impact on and pathways for enhancing the smart health and aging care industry holds significant practical importance. Methods: Leveraging the theoretical underpinnings of TOE framework and configuration analysis, this research utilizes dynamic Qualitative Comparative Analysis (QCA) to examine provincial-level panel data from China between 2012-2022, investigating how the digital economy's configuration effects evolve over time. Results: The digital economy drives the high-quality development of the smart health and aging care industry through five pathways, which can be divided into three classes: digitally technology-driven, dual-core "digital technology-digital environment" driven, and digitally environment-led. Low-quality development patterns follow three pathways, which can be summarized into two types: "digital technology-digital environment" constrained and "digital technology-digital organization-digital environment" multi-dimensional constrained. Multi-period comparative analysis reveals multiple trajectory evolution phenomena in the digital economy's drive toward high-quality development of the smart health and aging industry. Among these, the digital technology-driven and dual-core "digital technology-digital environment" models represent dominant trajectories, while the digital environment-led model constitutes a turning-point trajectory. Discussion: The digital economy drives the high-quality development of the smart health and aging care industry through multiple pathways and evolutionary trajectories, with the three elements-digital technology, digital environment, and digital organization, functioning synergistically. This research provides theoretical references and practical insights for understanding how the digital economy era propels the high-quality development of the smart health and aging care industry.

Indexed as

Digital TechnologyChinaDigital HealthHumansQualitative Researchdigital economydynamic QCAgrouping pathshigh quality developmentsmart health and aging care industryTOE framework

Identifiers

PMID41846845
PMCPMC12990852

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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.