Patients preferences in choosing doctors for online mental health services based on web text analysis

Corresponding author: HU YinHuan, hyh288@hotmail.com

DOI: 10.12201/bmr.202411.00084

•  

  Abstract: Purpose/Significance Through LDA model and affective analysis, the review text of patients online mental health services was analyzed to identify patients preferences for online mental health services and put forward countermeasures and suggestions. Method/Process Taking Yidianling platform as an example, the content analysis method was used to form a medical preference index set. The LDA model is used to determine the preferred topic. Logistic regression classification and sentiment analysis were used to identify topics of text comments and calculate online sentiment scores for each topic. Finally, IPA analysis method was used to identify the subject weight of patients preference in medical choice and put forward suggestions for improvement. Result/Conclusion The formation of patients preferences in choosing doctors for online mental health services was divided into 3 dimensions and 9 sub-themes. Based on the online review text, the preference topics of patients for online mental health services were determined, which provided important guidance and reference for improving the quality and satisfaction of online mental health services.

  Key words: Online mental health services，Medical preference，Online reviews，LDA，Sentiment analysis

  Submit time: 29 November 2024

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
• html

• 图表

• wuxiaolu, zhangzhiguo. Research on Online Psychological Consultation Users’ Preference for Doctor Selection——Based on the Discrete Choice Experiment. 2021. doi: 10.12201/bmr.202102.00006

  ZHANG Wen, ZHANG Jian-tong, GUO Yu-shan. Sentiment Analysis of Online Medical Reviews Based on BERT and Semantics Collaboration through Dual-channel. 2024. doi: 10.12201/bmr.202407.00042

  LI Zhen-lin, GUO Rui. To explore the impact of online medical service quality on patients’ continuance usage intention based on the standardized patient method: Taking online mental health services as an example. 2023. doi: 10.12201/bmr.202306.00015

  Wang Zhe, Xiang Fei. Research on Behavioral characteristics of online healthy community participation in depressed populations based on sentiment analysis. 2022. doi: 10.12201/bmr.202211.00001

  ma cheng yu. Study on the Effect of Online Health Services Delivery on Doctors Offline Performance. 2021. doi: 10.12201/bmr.202108.00024

  XuZhongyang, LOU Haiping. Research on User Demands for Medical and Health Services in Online Health Communities——Take Hangzhou as an example. 2021. doi: 10.12201/bmr.202101.00005

  HUANG Jin-quan, ZHANG Chu, LIU Ling-tao, PAN Wei, ZHAI Ju-ye, LIU Yu-wen. Research on online hospital feature mining based on HSM_LDA model. 2023. doi: 10.12201/bmr.202305.00012

  Wu Shang, Shi Qin, Qin Yi. Research on the Doctor-Patient Interaction Mode in Online Health Communities from the Perspective of Conversation Analysis. 2024. doi: 10.12201/bmr.202407.00044

  wuzhentao, wutailai. An Research on the Influencing factors for patients’ distrust of doctors in online health community. 2021. doi: 10.12201/bmr.202105.00007

  XuZhongyang, Shangshan. User Experience Evaluation of Online Health Community Based on Fuzzy Analytic Hierarchy Process. 2020. doi: 10.12201/bmr.202009.00004

• ID	Submit time	Number	Download
  1	2024-06-17	bmr.202411.00084V1	Download

• Public  Anonymous  To author only Submit Comments