Exploring the Online Doctor-Patient Interaction on Patient Satisfaction Based on Text Mining and Empirical Analysis. Issue 5 (September 2020)
- Record Type:
- Journal Article
- Title:
- Exploring the Online Doctor-Patient Interaction on Patient Satisfaction Based on Text Mining and Empirical Analysis. Issue 5 (September 2020)
- Main Title:
- Exploring the Online Doctor-Patient Interaction on Patient Satisfaction Based on Text Mining and Empirical Analysis
- Authors:
- Chen, Shuqing
Guo, Xitong
Wu, Tianshi
Ju, Xiaofeng - Abstract:
- Highlights: We combined a text mining and econometrics analysis technology to explore the mechanism of doctor-patient interaction in an online health community. Patient activeness as an antecedent factor could enhance the social support from a doctor, which indirectly affects patient satisfaction. Both the doctor's informational and emotional support plays a positive role for doctor-patient relationship. Patient disease severity plays an important role between doctor's social support and patient satisfaction. Abstract: In the online health community, the doctor-patient interaction is one of the most important functional modules. A large volume of unstructured text data has been generated in the doctor-patient interaction process. This development is worth exploring. In this paper, we mainly explore the influences of online doctor-patient interaction content on patient satisfaction. We collected the online doctor-patient interaction text data from a big online health community (http://haodf.com ) in China from January 2015 to December 2016, followed by the use of text mining and econometrics to test our hypotheses. The results indicate that the patient's activeness has a positive effect on a doctor's informational and emotional support. Furthermore, both a doctor's informational and emotional support are known to have a positive effect on patient satisfaction. More significantly, the effect of emotional support on patient satisfaction is more significant than that ofHighlights: We combined a text mining and econometrics analysis technology to explore the mechanism of doctor-patient interaction in an online health community. Patient activeness as an antecedent factor could enhance the social support from a doctor, which indirectly affects patient satisfaction. Both the doctor's informational and emotional support plays a positive role for doctor-patient relationship. Patient disease severity plays an important role between doctor's social support and patient satisfaction. Abstract: In the online health community, the doctor-patient interaction is one of the most important functional modules. A large volume of unstructured text data has been generated in the doctor-patient interaction process. This development is worth exploring. In this paper, we mainly explore the influences of online doctor-patient interaction content on patient satisfaction. We collected the online doctor-patient interaction text data from a big online health community (http://haodf.com ) in China from January 2015 to December 2016, followed by the use of text mining and econometrics to test our hypotheses. The results indicate that the patient's activeness has a positive effect on a doctor's informational and emotional support. Furthermore, both a doctor's informational and emotional support are known to have a positive effect on patient satisfaction. More significantly, the effect of emotional support on patient satisfaction is more significant than that of informational support. In addition, the patient's disease severity strengthens the link between a doctor's informational and emotional support and that of patient satisfaction. This study has far-reaching significance for a better understanding of the doctor-patient interaction mechanism. … (more)
- Is Part Of:
- Information processing & management. Volume 57:Issue 5(2020:Sep.)
- Journal:
- Information processing & management
- Issue:
- Volume 57:Issue 5(2020:Sep.)
- Issue Display:
- Volume 57, Issue 5 (2020)
- Year:
- 2020
- Volume:
- 57
- Issue:
- 5
- Issue Sort Value:
- 2020-0057-0005-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-09
- Subjects:
- Online doctor-patient interaction -- text mining and econometrics -- informational support -- emotional support
Information storage and retrieval systems -- Periodicals
Information science -- Periodicals
Systèmes d'information -- Périodiques
Sciences de l'information -- Périodiques
Information science
Information storage and retrieval systems
Periodicals
658.4038 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03064573 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ipm.2020.102253 ↗
- Languages:
- English
- ISSNs:
- 0306-4573
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4493.893000
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British Library HMNTS - ELD Digital store - Ingest File:
- 13560.xml