ArticleHealthcare (Basel, Switzerland)2020
Does Internet Use Affect Individuals' Medical Service Satisfaction? Evidence from China.
Article in Healthcare (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- Resident Preferences for Telemedicine Services in China in the Digital Health Era: Mixed Methods Study.Journal of medical Internet research · 2025Article
- Medical service satisfaction and depression among middle-aged and older Chinese adults: moderating role of distinct Internet-using patterns.BMC public health · 2024Article
- The impact of Internet use and involvement on residents' attitudes to healthcare in China: A propensity score matching analysis.PloS one · 2024Article
- Do public employment services affect the self-rated health of migrant workers in China?PloS one · 2022Article
- Construction of a Medical Resource Sharing Mechanism Based on Blockchain Technology: Evidence from the Medical Resource Imbalance of China.Healthcare (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Empirical evidence that combines traditional factors and information technology factors to predict public attitudes toward to medical services is inadequate. To fill this gap, this study investigates the impact of Internet use on people's satisfaction with medical services by employing the Chinese Social Survey for 2013, 2015 and 2017 (including 28,239 samples in total). Estimation results under the ordered probit reveal that Internet use is negatively correlated with individuals' medical services satisfaction. The results support the negativity bias theory, namely, compared with positive information, netizens pay more attention to negative medical-related information on the Internet. The results are still reliable by adopting substitution variable methods, subdividing the samples, employing other estimation methods and carrying out placebo tests to conduct robustness checks. This study further enriches the literature on public attitudes toward medical services and provides additional policy implications for medical risk management in the digital era.
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Registered trials
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