ArticleInternational journal of environmental research and public health2019
Public Perception on Healthcare Services: Evidence from Social Media Platforms in China.
Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- The Use of Natural Language Processing to Interpret Unstructured Patient Feedback on Health Services: Scoping Review.Journal of medical Internet research · 2025Article
- Video platforms and sexual healthcare in China: assessment of content on premature ejaculation.Translational andrology and urology · 2025Article
- Game-theoretic analysis of governance and corruption in China's pharmaceutical industry.Frontiers in medicine · 2024Article
- Analyzing patients satisfaction level for medical services using twitter data.PeerJ. Computer science · 2024Article
- Advanced Sentiment Analysis for Managing and Improving Patient Experience: Application for General Practitioner (GP) Classification in Northamptonshire.International journal of environmental research and public health · 2023Article
- Patient satisfaction impact indicators from a psychosocial perspective.Frontiers in public health · 2023Article
- Framing Public Opinion on Physician-Patient Conflicts on Microblog: A Comparative Content Analysis.Frontiers in public health · 2022Article
- Hospital Facebook Reviews Analysis Using a Machine Learning Sentiment Analyzer and Quality Classifier.Healthcare (Basel, Switzerland) · 2021Article
- Patient Satisfaction and Hospital Quality of Care Evaluation in Malaysia Using SERVQUAL and Facebook.Healthcare (Basel, Switzerland) · 2021Article
- Assessing Patient-Perceived Hospital Service Quality and Sentiment in Malaysian Public Hospitals Using Machine Learning and Facebook Reviews.International journal of environmental research and public health · 2021Article
- Facebook Reviews as a Supplemental Tool for Hospital Patient Satisfaction and Its Relationship with Hospital Accreditation in Malaysia.International journal of environmental research and public health · 2021Article
- Prevalence and Influencing Factors of Medical Dissatisfaction Experiences in Chinese Hospitals: A Cross-Sectional Study.Patient preference and adherence · 2021Article
- Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study.Journal of medical Internet research · 2020Article
- Online Doctor Recommendation with Convolutional Neural Network and Sparse Inputs.Computational intelligence and neuroscience · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Social media has been used as data resource in a growing number of health-related research. The objectives of this study were to identify content volume and sentiment polarity of social media records relevant to healthcare services in China. A list of the key words of healthcare services were used to extract data from WeChat and Qzone, between June 2017 and September 2017. The data were put into a corpus, where content analyses were performed using Tencent natural language processing (NLP). The final corpus contained approximately 29 million records. Records on patient safety were the most frequently mentioned topic (approximately 8.73 million, 30.1% of the corpus), with the contents on humanistic care having received the least social media references (0.43 Million, 1.5%). Sentiment analyses showed 36.1%, 16.4%, and 47.4% of positive, neutral, and negative emotions, respectively. The doctor-patient relationship category had the highest proportion of negative contents (74.9%), followed by service efficiency (59.5%), and nursing service (53.0%). Neutral disposition was found to be the highest (30.4%) in the contents on appointment-booking services. This study added evidence to the magnitude and direction of public perceptions on healthcare services in China's hospital and pointed to the possibility of monitoring healthcare service improvement, using readily available data in social media.
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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.