Social support among chronically ill adolescent and young adult patients using a hospital-based online health community as part of a palliative care program: A qualitative study.

OBJECTIVES: Chronically ill adolescent and young adult (AYA) patients experience barriers to accessing psychosocial support/palliative care, increasing their risk for negative psychosocial outcomes. Online health communities (OHCs) have been recommended for AYAs as part of palliative care support programs; however, we lack research investigating palliative care programs targeting AYAs' psychosocial support needs that are delivered virtually and able to engage with patients both during and beyond inpatient admissions. Streetlight is a palliative care program designed for chronically ill AYAs. Developed as a complementary component that extends beyond the hospital setting, Streetlight Gaming and Online Team (SGOT) is an OHC aimed at facilitating social support to influence psychosocial outcomes. We investigated the existence and enactment of social support among chronically ill AYAs using SGOT and compared this to existing online social support categories to determine which support types are present within SGOT. METHODS: This was a qualitative phenomenological study. We performed deductive thematic analysis based on existing online social support categories. Nine semi-structured interviews were conducted with SGOT participants. RESULTS: Social companionship/belonging, esteem/emotional, and informational support were most prevalent within SGOT. Thirteen subthemes emerged representing how social support impacted AYAs' psychosocial wellbeing. Notably, coping with/managing illness, sense of community and normalcy, recommendations and advice, and shared interests unrelated to illnesses were subthemes that resonated with AYAs and added value to their experiences. SIGNIFICANCE OF RESULTS: SGOT is an impactful OHC used to meet AYAs' social support needs. What makes SGOT especially unique is its virtual delivery, wherein AYAs can conveniently maintain beneficial relationships with other chronically ill same-aged peers. AYAs need spaces where they can feel normal and access continuous support, both within and beyond inpatient admissions. This study enhances our understanding of online AYA psychosocial support programs. Findings can be used by healthcare professionals to implement similar palliative care and psychosocial support programs.

Online peer support for people with Amyotrophic Lateral Sclerosis (ALS): a narrative synthesis systematic review.

Background: Amyotrophic Lateral Sclerosis (ALS) significantly impacts the lives of people with the diagnosis and their families. A supportive social environment is important for people with ALS to adopt effective coping strategies and health behaviours, and reduce depressive symptoms. Peer support can provide a supportive social environment and can happen in-person and online. Advantages of online peer support are that people can engage from their own home, at their own time and pace, and that it offers a variety of different platforms and modes of communication. Objectives: To (1) explore the benefits and challenges of online peer support for people with ALS, and (2) identify successful elements of online peer support for people with ALS. Methods: The method selected for this systematic review was a narrative synthesis. Six databases were systematically searched in April 2020 for articles published between 1989 and 2020. The search was updated in June 2022. The quality of the included studies was assessed with the Critical Appraisal Skills Programme qualitative research checklist. Results: 10,987 unique articles were identified through the systematic database search. Of those, 9 were included in this review. One of the main benefits of online peer support was that people could communicate using text rather than needing verbal communication, which can be challenging for some with ALS. Successful elements included using profile pages and graphics to identify others with similar or relevant experiences. Challenges included ALS symptoms which could make it difficult to use technological devices. Conclusions: Peer support can provide a non-judgmental and supportive environment for people with ALS, in which they can exchange experiences and emotional support, which can help people in developing adaptive coping strategies. However, ALS symptoms may make it more difficult for people to use technological devices and engage in online peer support. More research is needed to identify what kind of specific barriers people with ALS experience, and how these could be overcome.

Bridging the digital health divide-patient experiences with mobile integrated health and facilitated telehealth by community-level indicators of health disparity.

OBJECTIVE: Evaluate the impact of community tele-paramedicine (CTP) on patient experience and satisfaction relative to community-level indicators of health disparity. MATERIALS AND METHODS: This mixed-methods study evaluates patient-reported satisfaction and experience with CTP, a facilitated telehealth program combining in-home paramedic visits with video visits by emergency physicians. Anonymous post-CTP visit survey responses and themes derived from directed content analysis of in-depth interviews from participants of a randomized clinical trial of mobile integrated health and telehealth were stratified into high, moderate, and low health disparity Community Health Districts (CHD) according to the 2018 New York City (NYC) Community Health Survey. RESULTS: Among 232 CTP patients, 55% resided in high or moderate disparity CHDs but accounted for 66% of visits between April 2019 and October 2021. CHDs with the highest proportion of CTP visits were more adversely impacted by social determinants of health relative to the NYC average. Satisfaction surveys were completed in 37% of 2078 CTP visits between February 2021 and March 2023 demonstrating high patient satisfaction that did not vary by community-level health disparity. Qualitative interviews conducted with 19 patients identified differing perspectives on the value of CTP: patients in high-disparity CHDs expressed themes aligned with improved health literacy, self-efficacy, and a more engaged health system, whereas those from low-disparity CHDs focused on convenience and uniquely identified redundancies in at-home services. CONCLUSIONS: This mixed-methods analysis suggests CTP bridges the digital health divide by facilitating telehealth in communities negatively impacted by health disparities.

Patient-centered or population-centered? How epistemic discrepancies cause harm and sow mistrust.

Medical distrust is often conceived of as a problem of misinformation or ignorance. In this paper, I depart from this framework, attributing distrust instead to epistemic divergence between lay people and experts. Using data from a contraceptive side effects Facebook group and in-depth physician interviews, I find that providers employ a "body-as-subject" lens informed by population-health goals, while group members employ a "body-as-agent" lens that privileges individuality and bodily autonomy. Provider epistemologies are privileged, creating epistemic injustice and harm for patients. Ultimately, this erodes trust in providers and the medical community more broadly.

Predictors of Use and Drop Out From a Web-Based Cognitive Behavioral Therapy Program and Health Community for Depression and Anxiety in Primary Care Patients: Secondary Analysis of a Randomized Controlled Trial.

BACKGROUND: A previously reported study examined the treatment of primary care patients with at least moderate severity depressive or anxiety symptoms via an evidence-based computerized cognitive behavioral therapy (CCBT) program (Beating the Blues) and an online health community (OHC) that included a moderated internet support group. The 2 treatment arms proved to be equally successful at 6-month follow-up. OBJECTIVE: Although highly promising, e-mental health treatment programs have encountered high rates of noninitiation, poor adherence, and discontinuation. Identifying ways to counter these tendencies is critical for their success. To further explore these issues, this study identified the primary care patient characteristics that increased the chances patients would not initiate the use of an intervention, (ie, not try it even once), initiate use, and go on to discontinue or continue to use an intervention. METHODS: The study had 3 arms: one received access to CCBT (n=301); another received CCBT plus OHC (n=302), which included a moderated internet support group; and the third received usual care (n=101). Participants in the 2 active intervention arms of the study were grouped together for analyses of CCBT use (n=603) because both arms had access to CCBT, and there were no differences in outcomes between the 2 arms. Analyses of OHC use were based on 302 participants who were randomized to that arm. RESULTS: Several baseline patient characteristics were associated with failure to initiate the use of CCBT, including having worse physical health (measured by the Short Form Health Survey Physical Components Score, P=.01), more interference from pain (by the Patient-Reported Outcomes Measurement Information System Pain Interference score, P=.048), less formal education (P=.02), and being African American or another US minority group (P=.006). Characteristics associated with failure to initiate use of the OHC were better mental health (by the Short Form Health Survey Mental Components Score, P=.04), lower use of the internet (P=.005), and less formal education (P=.001). Those who initiated the use of the CCBT program but went on to complete less of the program had less formal education (P=.01) and lower severity of anxiety symptoms (P=.03). CONCLUSIONS: This study found that several patient characteristics predicted whether a patient was likely to not initiate use or discontinue the use of CCBT or OHC. These findings have clear implications for actionable areas that can be targeted during initial and ongoing engagement activities designed to increase patient buy-in, as well as increase subsequent use and the resulting success of eHealth programs. TRIAL REGISTRATION: ClinicalTrials.gov NCT01482806; https://clinicaltrials.gov/study/NCT01482806.

Mid-Term Strategic Plan for the Public Health and Medical Care Cooperation in the Korean Peninsula.

As extensive as the concept of and the resources required for 'Health for Korean Unification' are, and due to the limited access to information on the state of health and medical care in North Korea, discussion on 'Health for Korean Unification' has tended to be intermittent and lacked concrete action plans. In this article, we specifically distinguished areas of cooperation and selected five executable agenda that meet the goals of international development cooperation: 1) Health security; 2) Easing the burden of major diseases; 3) Resilient healthcare system; 4) R&D cooperation; 5) Sustainable cooperation system. Then we provided corresponding strategic priorities and operative directions, in consideration of future military and political sanctions against North Korea. The strategies we outline are sustainable, preemptive for problems that might affect lives of South and North Korean citizens, and satisfy the unmet needs of the North Korean health system. Throughout the process, we utilized a special platform, the 'Korean Peninsula Healthcare Cooperation Platform,' designed to enable continual communication across sectors engaged in public health and medical care. By doing so, we take the first step to actually carry out the 'Health for Korean Unification,' which tended to have remained on the discussion agenda.

The dynamics of knowledge sharing in chronically ill patient-led online health communities.

Patient-led online health communities (OHCs) provide an accessible way for patients to share their knowledge without the constraints of time and distance. By sharing knowledge, patients receive information from other members of the community that expands their knowledge. In this way, knowledge 'grows' and enhances the ability of patients in the community to adequately self-care in everyday life, that is, patient empowerment. This paper aims to understand the dynamics of knowledge sharing in patient-led OHCs. In search of an answer to the research question, the virtual ethnography research design was applied using an observational data collection method. The observational research was conducted in five patient-led OHCs of chronically ill patients on the Lithuanian version of the Facebook Platform. The results of the study provided insight into the dynamics of knowledge sharing by detailing the design of the discussions that took place in the studied communities and by characterising the path of knowledge sharing.

Community-based actions in consulates: a new paradigm for opportunities for systematic integration in Chagas disease detection.

Research has shown that multidimensional approaches to Chagas disease (CD), integrating its biomedical and psycho-socio-cultural components, are successful in enhancing early access to diagnosis, treatment and sustainable follow-up.For the first time, a consulate was selected for a community-based CD detection campaign. Two different strategies were designed, implemented and compared between 2021 and 2022 at the Consulate General of Bolivia and a reference health facility in Barcelona open to all Bolivians in Catalonia.Strategy 1 consisted in CD awareness-raising activities before referring those interested to the reference facility for infectious disease screening. Strategy 2 offered additional in-situ serological CD screening. Most of the 307 participants were Bolivian women residents in Barcelona. In strategy 1, 73 people (35.8% of those who were offered the test) were screened and 19.2% of them were diagnosed with CD. Additionally, 53,4% completed their vaccination schedules and 28.8% were treated for other parasitic infections (strongyloidiasis, giardiasis, eosinophilia, syphilis). In strategy 2, 103 people were screened in-situ (100% of those who were offered the test) and 13.5% received a CD diagnosis. 21,4% completed their vaccination schedule at the reference health facility and 2,9% were referred for iron deficiency anemia, strongyloidiasis or chronic hepatitis C.The fact that the screening took place in an official workplace of representatives of their own country, together with the presence of community-based participants fueled trust and increased CD understanding. Each of the strategies assessed had different benefits. Opportunities for systematic integration for CD based on community action in consulates may enhance early access to diagnosis, care and disease prevention.

A Review on Case Burden of Diabetes Mellitus Before and After the Implementation of National Programme for Prevention and Control of Cancer, Diabetes, Cardiovascular Diseases and Stroke.

This article focuses on the role of the National Health Program called National Program for Prevention and Control of Cancer, Diabetes, Cardiovascular Disease, and Stroke (NPCDCS) in the screening and reduction of the case burden of Diabetes mellitus. The article first discusses the case burden of Diabetes before the implementation of NPCDCS and then the burden of the disease after the implementation of the program by mainly reviewing the cross-sectional studies done in four districts, Jaipur district, Gandhinagar district, Belagavi taluka district, and Udupi district. The studies were conducted at least four years after the program's implementation. The reason for preparing this review article is to assess the efficacy of NPCDCS in controlling the most dreaded chronic disease, which has its highest prevalence in India. Over the past century, there has been a consistent rise in the prevalence of Diabetes.  In all departments of medicine, Diabetes has been a common predisposing factor in several adversities such as blindness, limb amputation, cerebrovascular stroke, diabetic nephropathy, and other microvascular and macrovascular diseases. The studies include field-level cross-checking and on-ground cross-sectional studies, which were done in 2019 in Jaipur, standard cross-sectional studies from the primary data collected from the primary health care center in the Belagavi taluka district, a national-level cross-sectional study conducted by the National NCD Monitoring survey, and cross-sectional studies in Udupi district in Karnataka, which was the first district to be included by NPCDCS in its second phase.

The Burden of Hypertension in HIV-Infected Adults on Retroviral Therapy in Masvingo Province, Zimbabwe: A Retrospective Cohort Study.

Background and objective The global HIV epidemic has evolved in the past 30 years with a decline in mortality and morbidity and improved survival since the introduction of antiretroviral therapy (ART). However, this has brought on new challenges through the emergence of non-communicable disease (NCD) as a pandemic at par with, if not more serious than, HIV, and patients well maintained on ART are now faced with the increased risk of developing NCDs such as hypertension, which also require lifelong therapy. This study was designed to determine the burden of hypertension in patients under HIV care in Masvingo province, Zimbabwe. Methods A retrospective cohort study was conducted in six districts of Masvingo province based on the data collected from the electronic Patient Monitoring System (ePMS), along with an analysis of secondary data. Of the 94,821 records gathered, 877 met the inclusion criteria to be included in the study. Data were analyzed using Microsoft Excel and Stata statistical software and statistical analysis was performed using the χ2 test. Results The study revealed a hypertension prevalence of 7.64% among the 877 patients analyzed and the independent risk factors for the development of hypertension were determined to be the age of patients, with a one-year increase in age resulting in an 8% increase in the risk of developing hypertension, and the duration on ART, with a one-year increase on ART duration increasing the risk of hypertension by 27%, and an increase in BMI by a factor of 1 increasing the risk of getting hypertension by 9%. Conclusion Our findings showed that there are patients who have both hypertension and HIV on ART care, and they would need to be managed for both. There is a need for improved data collection of important variables that improve the quality of care of clients. Clinical management of HIV needs to evolve with the evolving needs of patients and NCD care has to be factored in.

Online health community-An empirical analysis based on grounded theory and entropy weight TOPSIS method to evaluate the service quality.

Introduction: With the enhancement of people's health awareness and the impact of the coronavirus pandemic in recent years, people's demand for online health information continues to expand, and online health communities (OHCs) have developed rapidly. However, the service quality of OHCs is uneven, and problems such as content quality, privacy disclosure are increasingly prominent. It's of great significance to establish normalized OHC service quality evaluation standards and develop effective evaluation tools and methods for the improvement of OHC service quality. Material and Methods: Based on the grounded theory, the raw materials obtained from semi-structured interviews were coded in three stages to construct a service quality evaluation system for OHC. Through empirical analysis, the rationality and effectiveness of the evaluation system were verified. Then six representative Chinese OHCs were selected and their service quality was evaluated by the entropy weight TOPSIS method. Results: The service quality evaluation system of OHC was constructed which includes 4 first-level indicators and 16 second-level indicators. The weights of the first-level indicators from large to small are content quality, emotional experience quality, interaction quality and function quality. Among the second-level indicator weights, the top three are perceived cost reasonableness, content professionalism and effectiveness of interactive content. Conclusions: The indicator system is reasonable and effective and the evaluation method has strong applicability and operability. This study will provide theoretical guidance for community platform operators and relevant departments to design effective evaluation mechanism of OHC service quality, offering a reference for decisions and policymakers.

Morocco's Healthcare System: Achievements, Challenges, and Perspectives.

Despite progress in recent years, access to quality medical care remains a significant issue, particularly in rural areas. The unequal distribution of resources, inadequate funding, healthcare worker shortages, and the rise of non-communicable diseases pose substantial challenges. However, implementing universal health coverage and improving key health indicators demonstrate notable achievements. To further enhance the healthcare system, perspectives such as addressing resource disparities, increasing funding and the healthcare workforce, managing non-communicable diseases, embracing digital technologies, strengthening public healthcare, and focusing on prevention and health education are proposed. These perspectives offer a global vision for improving Morocco's healthcare system's efficiency, inclusiveness, and quality, ultimately ensuring equitable access to healthcare services for all citizens.

[Three examples of IPA implementation in medical-psychological centers]. / Trois exemples d'implantation IPA en centre médico-psychologique.

The Paul-Guiraud Hospital Group has three advanced practice nurses (APNs) specializing in psychiatry and mental health who work in different medical-psychological centers. Supported by the institution, each APN project has been thought out by a multi-professional team within the structures, according to their specific needs.

Named Entity Recognition of Diabetes Online Health Community Data Using Multiple Machine Learning Models.

The rising prevalence of diabetes and the increasing awareness of self-health management have resulted in a surge in diabetes patients seeking health information and emotional support in online health communities. Consequently, there is a vast database of patient consultation information in these online health communities. However, due to the heterogeneity and incompleteness of the content, mining medical information and patient health data from these communities can be a challenge. To address this issue, we built the RoBERTa-BiLSTM-CRF (RBC) model for identifying entities in the online health community of diabetes. We selected 1889 question-answer texts from the most active online health community in China, Good Doctor Online, and used these public data to identify five types of entities. In addition, we conducted a comparative evaluation with three other commonly used models to validate the performance of our proposed model, including RoBERTa-CRF (RC), BilSTM-CRF (BC), and RoBERTa-Softmax (RS). The results showed that the RBC model achieved excellent performance on the test set, with an accuracy of 81.2% and an F1 score of 80.7%, outperforming the performance of traditional entity recognition models in named entity recognition in online medical communities for doctors and diabetes patients. The high performance of entity recognition in online health communities will provide a crucial knowledge source for constructing medical knowledge graphs. This integration would help alleviate the growing demand for medical consultations and the strain on healthcare resources, while assisting healthcare professionals in making informed decisions and providing personalized services to patients.

Configuration Path Study of Influencing Factors on Health Information-Sharing Behavior among Users of Online Health Communities: Based on SEM and fsQCA Methods.

This study examines the determinants that drive the behavior of sharing health information within online health communities. Leveraging the Theory of Planned Behavior, the Technology Acceptance Model, and the "Knowledge-Attitude-Practice" theory, a comprehensive model elucidating the key elements that sway the health information-sharing behavior among users of online health communities is designed. This model is validated through Structural Equation Modeling (SEM) and Fuzzy Set Qualitative Comparative Analysis (fsQCA). Findings derived from the SEM suggest that perceived ease of use, perceived usefulness, perceived trust, and perceived behavioral control exert a significant positive impact on attitudes towards health information sharing, the intention to share health information, and the actual health information-sharing behavior. The fsQCA unfolds two unique configuration path models that lead to the emergence of health information-sharing behavior: one predicated on perceived trust and sharing intention, and the other on perceived usefulness, behavioral control, and sharing attitude. This research provides invaluable insights, fostering a deeper comprehension of the dynamics involved in health information sharing within online communities, thereby directing the design of more effective health platforms to augment user engagement and enable informed health decisions.

Factors Affecting Users' Continuous Usage in Online Health Communities: An Integrated Framework of SCT and TPB.

BACKGROUND: Online health communities (OHCs) provide a new channel for users to obtain more health-related information and support, playing an important role in alleviating hospital congestion and uneven medical resource distribution, especially during the COVID-19 pandemic in China. An in-depth study of users' continuous usage is of great value for the long-term development of OHCs. OBJECTIVE: The purpose of this study is to explore the factors that influence users' continuous usage in online health communities based on the theory of planned behavior (TPB) and social cognitive theory (SCT). METHODS: Data from 480 users with experience in online health communities were collected through a questionnaire survey, and structural equations were applied to verify the model hypotheses empirically. RESULTS: Self-efficacy and controllability have significant effects on users' continuous intention; attitude has a significant relationship with continuous intention; social norms have a positive effect on continuous intention. Moreover, the relationship between continuous intention and behavior is positive. Self-efficacy and outcome expectations have significant positive associations with continuous usage. Finally, system quality, information quality, and social interaction ties have significant and positive relationships to continuous usage. CONCLUSION: To improve the level of user's continuous usage, online health service providers can improve the quality of the community by organizing the website's page layout, navigation menus, and site elements to ensure users quickly search and find what they want meanwhile try to change people's cognition gradually, in addition, decision and policymakers should provide more favorable policies to stimulate and help provider in building and managing strategic plans for sustaining a thriving online community. A supportive climate in society through public service advertisements and others for the sake of OHCs is necessary. LIMITATIONS: (1) This study collected data through a cross-sectional survey. Thus, it lacked the process of capturing the changes in participants' attitudes toward all variables. (2) The environmental factors in SCT theory need to be more comprehensive, containing online factors without offline factors. (3) The dates were obtained from China, which neglects the different cultural content.

A Study of Factors Influencing the Volume of Responses to Posts in Physician Online Community.

Today's diverse health needs place greater demands on physicians. However, individual doctors have limited capabilities and may encounter many unsolvable medical problems. The physician online community provides a platform for physicians to communicate with each other and help each other. Physicians can post for help about problems they encounter at work. The number of responses to physicians' posts is critical to whether or not the problem is resolved. This study collected information on 13,226 posts from a well-known physician online community in China to analyze the factors that influence the number of post replies. In the analysis of the post content of the physician online community, this study innovatively introduces word usage features in the medical field. TextMind was used to extract the rate of several types of words in posts that frequently appear when describing medical information. Ultimately, we found that the rate of time words, visual words, auditory words, and physiological process words used in posts had a positive and significant effect on the number of post responses. A series of new post features has been found to have an impact on the number of post replies in physician online communities. This finding is beneficial for physicians to quickly obtain peer assistance through online platforms, increasing the likelihood of solving workplace challenges and improving physician care, as well as the success of physician online communities.

Exploring Chronic Pain and Pain Management Perspectives: Qualitative Pilot Analysis of Web-Based Health Community Posts.

BACKGROUND: Patient perspectives are central to the US Food and Drug Administration's benefit-risk decision-making process in the evaluation of medical products. Traditional channels of communication may not be feasible for all patients and consumers. Social media websites have increasingly been recognized by researchers as a means to gain insights into patients' views about treatment and diagnostic options, the health care system, and their experiences living with their conditions. Consideration of multiple patient perspective data sources offers the Food and Drug Administration the opportunity to capture diverse patient voices and experiences with chronic pain. OBJECTIVE: This pilot study explores posts from a web-based patient platform to gain insights into the key challenges and barriers to treatment faced by patients with chronic pain and their caregivers. METHODS: This research compiles and analyzes unstructured patient data to draw out the key themes. To extract relevant posts for this study, predefined keywords were identified. Harvested posts were published between January 1, 2017, and October 22, 2019, and had to include #ChronicPain and at least one other relevant disease tag, a relevant chronic pain management tag, or a chronic pain management tag for a treatment or activity specific to chronic pain. RESULTS: The most common topics discussed among persons living with chronic pain were related to disease burden, the need for support, advocacy, and proper diagnosis. Patients' discussions focused on the negative impact chronic pain had on their emotions, playing sports, or exercising, work and school, sleep, social life, and other activities of daily life. The 2 most frequently discussed treatments were opioids or narcotics and devices such as transcutaneous electrical nerve stimulation machines and spinal cord stimulators. CONCLUSIONS: Social listening data may provide valuable insights into patients' and caregivers' perspectives, preferences, and unmet needs, especially when conditions may be highly stigmatized.

Multilevel Classification of Users' Needs in Chinese Online Medical and Health Communities: Model Development and Evaluation Based on Graph Convolutional Network.

BACKGROUND: Online medical and health communities provide a platform for internet users to share experiences and ask questions about medical and health issues. However, there are problems in these communities, such as the low accuracy of the classification of users' questions and the uneven health literacy of users, which affect the accuracy of user retrieval and the professionalism of the medical personnel answering the question. In this context, it is essential to study more effective classification methods of users' information needs. OBJECTIVE: Most online medical and health communities tend to provide only disease-type labels, which do not give a comprehensive summary of users' needs. The study aims to construct a multilevel classification framework based on the graph convolutional network (GCN) model for users' needs in online medical and health communities so that users can perform more targeted information retrieval. METHODS: Using the Chinese online medical and health community "Qiuyi" as an example, we crawled questions posted by users in the "Cardiovascular Disease" section as the data source. First, the disease types involved in the problem data were segmented by manual coding to generate the first-level label. Second, the needs were identified by K-means clustering to generate the users' information needs label as the second-level label. Finally, by constructing a GCN model, users' questions were automatically classified, thus realizing the multilevel classification of users' needs. RESULTS: Based on the empirical research of questions posted by users in the "Cardiovascular Disease" section of Qiuyi, the hierarchical classification of users' questions (data) was realized. The classification models designed in the study achieved accuracy, precision, recall, and F1-score of 0.6265, 0.6328, 0.5788, and 0.5912, respectively. Compared with the traditional machine learning method naïve Bayes and the deep learning method hierarchical text classification convolutional neural network, our classification model showed better performance. At the same time, we also performed a single-level classification experiment on users' needs, which in comparison with the multilevel classification model exhibited a great improvement. CONCLUSIONS: A multilevel classification framework has been designed based on the GCN model. The results demonstrated that the method is effective in classifying users' information needs in online medical and health communities. At the same time, users with different diseases have different directions for information needs, which plays an important role in providing diversified and targeted services to the online medical and health community. Our method is also applicable to other similar disease classifications.