Objective:Based on the consultation records of the online medical consultation platform, the chronic kidney disease (CKD) health information needs of users are analyzed, so as to provide a decision-making basis for the development of personalized CKD health information services, management and intervention.Methods:From September 15th to December 30th, 2022, the combination of manual retrieval and web crawler was used to obtain the question records of "kidney disease" in the three online medical platforms including Good Doctor Online, Dingxiang Doctor and Chunyu Doctor. Also, the hot question records were classified according to the content of users' questions. The top 50 high-frequency keywords were calculated by word segmentation and term frequency-inverse document frequency (IF-IDF) algorithm. The Gephi software was used to visualize the co-occurrence matrix of keywords.Results:A total of 78 405 valid consultation records were collected in the obtained question content. The classification results showed that the users' CKD health information needs can be classified into five categories, including basic knowledge (etiology and risk factors, symptoms and signs, classification and grading of diagnosis, complications or comorbidities, drug effects and adverse reactions), treatment plan, social life impact (physical impact, family impact, social interaction impact, economic burden impact, work impact), self-management (self-care or home care, emergency response) and social support (family support, professional medical team support).Conclusions:The information demand for CKD based on the online medical consultation platform presents a wide range of content and diversified subjects. This suggests that targeted and personalized health information guidance should be formulated when providing CKD health information services for different subjects.

Objective:Based on the consultation records of the online medical consultation platform, the chronic kidney disease (CKD) health information needs of users are analyzed, so as to provide a decision-making basis for the development of personalized CKD health information services, management and intervention.Methods:From September 15th to December 30th, 2022, the combination of manual retrieval and web crawler was used to obtain the question records of "kidney disease" in the three online medical platforms including Good Doctor Online, Dingxiang Doctor and Chunyu Doctor. Also, the hot question records were classified according to the content of users' questions. The top 50 high-frequency keywords were calculated by word segmentation and term frequency-inverse document frequency (IF-IDF) algorithm. The Gephi software was used to visualize the co-occurrence matrix of keywords.Results:A total of 78 405 valid consultation records were collected in the obtained question content. The classification results showed that the users' CKD health information needs can be classified into five categories, including basic knowledge (etiology and risk factors, symptoms and signs, classification and grading of diagnosis, complications or comorbidities, drug effects and adverse reactions), treatment plan, social life impact (physical impact, family impact, social interaction impact, economic burden impact, work impact), self-management (self-care or home care, emergency response) and social support (family support, professional medical team support).Conclusions:The information demand for CKD based on the online medical consultation platform presents a wide range of content and diversified subjects. This suggests that targeted and personalized health information guidance should be formulated when providing CKD health information services for different subjects.