Evidence map›Paper›PMID 40413231›Full record

ArticleScientific reports2025

Evaluation index system for value co-creation in integrated care within the context of digital transformation.

Chong Feng, Futian Weng, Liu Zhenyuan

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

3 authors.

Chong FengSchool of Mathematics and Statistics, Xiamen University of Technology, Xiamen, Fujian, China. 575725423@qq.com.
Futian WengData Mining Research Center, Xiamen University, Xiamen, Fujian, China.
Liu ZhenyuanSchool of Economics and Management, China University of Mining and Technology, Xuzhou, Jiangsu, China.

Funding

Fujian University Mathematical Discipline Union Foundation 2023SXLMQN04High-level Talent Science and Technology Program of Xiamen University of Technology YKJ23003RNatural Science Foundation of Xiamen Municipality 3502Z202372050Social Science Foundation of Fujian FJ2024C115
6 · The paper itself

Abstract

The significant impact of digital transformation on the co-creation of value in integrated care necessitates understanding its characteristics to enhance collaboration among healthcare organizations. The objective of this paper is to develop an evaluation index system for value co-creation in integrated care within the context of digital transformation. Utilizing Digital Business Ecosystem theory, the paper identifies the objectives, participating institutions, service processes, and expected outcomes of China's integrated care, and constructs a comprehensive evaluation index system consisting of four primary indicators, 11 secondary indicators, and 47 tertiary indicators. These indicators evaluate value co-creation in integrated care across traditional healthcare value co-creation, digital value co-creation, healthcare structure, and output and quality dimensions. To address the issue of minimal value changes in some indicators within the study's time frame, this paper proposes a modified entropy-weighted method to measure the comprehensive evaluation index of each dimension. This paper establishes an evaluation index system that provides a multi-level, systematic basis for examining the connotation and practical characteristics of integrated care value co-creation within the context of digital transformation.

Indexed as

Delivery of Health Care, IntegratedChinaDigital TechnologyHumansDigital transformationEvaluation index systemIntegrated careValue co-creation

Identifiers

PMID40413231
PMCPMC12103501

What OpenQuestion holds

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Registered trials

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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.