Research on User Demands for Medical and Health Services in Online Health Communities——Take Hangzhou as an example

Corresponding author: LOU Haiping, 1172582977@qq.com

DOI: 10.12201/bmr.202101.00005

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  Abstract: Based on a variety of methods, this article builds a demand indicator system for users medical and health services in online health communities, and takes users in Hangzhou as an example to carry out a questionnaire survey, using the KANO model and Better-Worse index to analyze the questionnaire data to obtain the demand attributes and prioritization sequence of demand. Put forward suggestions for optimizing medical and health services in online health communities, including classified management of various services, paying attention to young user groups, improving demand feedback mechanisms, and improving the quality of service personnel.

  Key words: online health community; user demand; KANO model; Better-Worse index

  Submit time: 20 January 2021

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