ArticleFrontiers in public health2022
Evolutionary game analysis of community elderly care service regulation in the context of "Internet +".
Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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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.
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Who cites it
9 citing papers in PubMed.
- Effectiveness of King's Theory of Goal Attainment in Blood Glucose Management for Newly Diagnosed Patients With Type 2 Diabetes: Randomized Controlled Trial.Journal of medical Internet research · 2024Trial
- The Impact of Nursing Education Innovation on the Quality of Care for Elderly Hospitalized Patients: A Systematic Review Based on Student Competency Development.Journal of multidisciplinary healthcare · 2026Review
- Digital inclusion, legal governance, and the adoption of smart care services by older adults in China: an evolutionary game analysis.Frontiers in public health · 2026Article
- Current application and future pathways of smart older adult care services in China.Frontiers in digital health · 2025Review
- Evolutionary game analysis of building a sustainable intelligent elderly care service platform.Scientific reports · 2024Article
- Study on the measurement of coupling and coordinated development level between China's internet and elderly care services and its influencing factors.BMC public health · 2024Article
- How do policies promote the sustainable development of older-adult care industry? A configuration analysis based on policy tools.Frontiers in public health · 2024Article
- Article
- Evolutionary game and stability analysis of elderly care service quality supervision from the perspective of government governance.Frontiers in public health · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: As an upgraded form of the elderly care service industry, "Internet + Community Elderly Care" integrates information technology, artificial intelligence, Internet thinking, and the construction of community elderly care service mechanisms. Research on "Internet + Community Elderly Care" has become a focus. Methods: The four-party evolutionary game model of elderly service regulations was presented, which consists of the government, providers, platforms, and elderly people. By using Lyapunov stability theory, the stability of each player's strategy selection was analyzed. Furthermore, the sensitivity analysis of the key parameters was discussed in detail using system dynamics. Results and discussion: Online evaluations of elderly people have more positive effects on the regulatory system than offline evaluations. Both the penalties on providers and subsidies on platforms given by the government have thresholds. Moreover, government penalties for providers and subsidies for platforms could curb their speculative behavior and enable effective steering of providers and platforms. Conclusion: The Omni-feedback mechanism for elderly people can effectively curb the speculative behavior of elderly care service providers and elderly care service information platforms. The government should dynamically adjust penalties and subsidy policies.
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What Socratic 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 Socratic graph.